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Hanis TM, Arifin WN, Haron J, Wan Abdul Rahman WF, Ruhaiyem NIR, Abdullah R, Musa KI. Factors Influencing Mammographic Density in Asian Women: A Retrospective Cohort Study in the Northeast Region of Peninsular Malaysia. Diagnostics (Basel) 2022; 12:860. [PMID: 35453907 PMCID: PMC9032698 DOI: 10.3390/diagnostics12040860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 02/05/2023] Open
Abstract
Mammographic density is a significant risk factor for breast cancer. In this study, we identified the risk factors of mammographic density in Asian women and quantified the impact of breast density on the severity of breast cancer. We collected data from Hospital Universiti Sains Malaysia, a research- and university-based hospital located in Kelantan, Malaysia. Multivariable logistic regression was performed to analyse the data. Five significant factors were found to be associated with mammographic density: age (OR: 0.94; 95% CI: 0.92, 0.96), number of children (OR: 0.88; 95% CI: 0.81, 0.96), body mass index (OR: 0.88; 95% CI: 0.85, 0.92), menopause status (yes vs. no, OR: 0.59; 95% CI: 0.42, 0.82), and BI-RADS classification (2 vs. 1, OR: 1.87; 95% CI: 1.22, 2.84; 3 vs. 1, OR: 3.25; 95% CI: 1.86, 5.66; 4 vs. 1, OR: 3.75; 95% CI: 1.88, 7.46; 5 vs. 1, OR: 2.46; 95% CI: 1.21, 5.02; 6 vs. 1, OR: 2.50; 95% CI: 0.65, 9.56). Similarly, the average predicted probabilities were higher among BI-RADS 3 and 4 classified women. Understanding mammographic density and its influencing factors aids in accurately assessing and screening dense breast women.
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Abdul Rahman MR, Abd Hamid AI, Noh NA, Omar H, Chai WJ, Idris Z, Ahmad AH, Fitzrol DN, Ab. Ghani ARIG, Wan Mohamad WNA, Mohamed Mustafar MF, Hanafi MH, Reza MF, Umar H, Mohd Zulkifly MF, Ang SY, Zakaria Z, Musa KI, Othman A, Embong Z, Sapiai NA, Kandasamy R, Ibrahim H, Abdullah MZ, Amaruchkul K, Valdes-Sosa P, Luisa-Bringas M, Biswal B, Songsiri J, Yaacob HS, Sumari P, Jamir Singh PS, Azman A, Abdullah JM. Alteration in the Functional Organization of the Default Mode Network Following Closed Non-severe Traumatic Brain Injury. Front Neurosci 2022; 16:833320. [PMID: 35418832 PMCID: PMC8995774 DOI: 10.3389/fnins.2022.833320] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/04/2022] [Indexed: 02/05/2023] Open
Abstract
The debilitating effect of traumatic brain injury (TBI) extends years after the initial injury and hampers the recovery process and quality of life. In this study, we explore the functional reorganization of the default mode network (DMN) of those affected with non-severe TBI. Traumatic brain injury (TBI) is a wide-spectrum disease that has heterogeneous effects on its victims and impacts everyday functioning. The functional disruption of the default mode network (DMN) after TBI has been established, but its link to causal effective connectivity remains to be explored. This study investigated the differences in the DMN between healthy participants and mild and moderate TBI, in terms of functional and effective connectivity using resting-state functional magnetic resonance imaging (fMRI). Nineteen non-severe TBI (mean age 30.84 ± 14.56) and twenty-two healthy (HC; mean age 27.23 ± 6.32) participants were recruited for this study. Resting-state fMRI data were obtained at the subacute phase (mean days 40.63 ± 10.14) and analyzed for functional activation and connectivity, independent component analysis, and effective connectivity within and between the DMN. Neuropsychological tests were also performed to assess the cognitive and memory domains. Compared to the HC, the TBI group exhibited lower activation in the thalamus, as well as significant functional hypoconnectivity between DMN and LN. Within the DMN nodes, decreased activations were detected in the left inferior parietal lobule, precuneus, and right superior frontal gyrus. Altered effective connectivities were also observed in the TBI group and were linked to the diminished activation in the left parietal region and precuneus. With regard to intra-DMN connectivity within the TBI group, positive correlations were found in verbal and visual memory with the language network, while a negative correlation was found in the cognitive domain with the visual network. Our results suggested that aberrant activities and functional connectivities within the DMN and with other RSNs were accompanied by the altered effective connectivities in the TBI group. These alterations were associated with impaired cognitive and memory domains in the TBI group, in particular within the language domain. These findings may provide insight for future TBI observational and interventional research.
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Affiliation(s)
- Muhammad Riddha Abdul Rahman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Aini Ismafairus Abd Hamid
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
- *Correspondence: Aini Ismafairus Abd Hamid,
| | - Nor Azila Noh
- Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Hazim Omar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wen Jia Chai
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zamzuri Idris
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Asma Hayati Ahmad
- Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Diana Noma Fitzrol
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Ab. Rahman Izaini Ghani Ab. Ghani
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wan Nor Azlen Wan Mohamad
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Mohamed Faiz Mohamed Mustafar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Hafiz Hanafi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Mohamed Faruque Reza
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Hafidah Umar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Mohd Faizal Mohd Zulkifly
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Song Yee Ang
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zaitun Zakaria
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Azizah Othman
- Department of Paediatrics, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zunaina Embong
- Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Nur Asma Sapiai
- Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | | | - Haidi Ibrahim
- School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Mohd Zaid Abdullah
- School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Kannapha Amaruchkul
- Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand
| | - Pedro Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- The Cuban Neurosciences Center, Havana, Cuba
| | - Maria Luisa-Bringas
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- The Cuban Neurosciences Center, Havana, Cuba
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
| | - Jitkomut Songsiri
- EE410 Control Systems Laboratory, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Hamwira Sakti Yaacob
- Department of Computer Science, Kulliyah of Information and Communication Technology, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | - Putra Sumari
- School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
| | | | - Azlinda Azman
- School of Social Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
| | - Jafri Malin Abdullah
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Brain and Behavior Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Jafri Malin Abdullah,
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Chai WJ, Abd Hamid AI, Omar H, Abdul Rahman MR, Fitzrol DN, Idris Z, Ghani ARI, Wan Mohamad WNA, Mustafar F, Hanafi MH, Kandasamy R, Abdullah MZ, Amaruchkul K, Valdes-Sosa PA, Bringas-Vega ML, Biswal B, Songsiri J, Yaacob H, Ibrahim H, Sumari P, Noh NA, Musa KI, Ahmad AH, Azman A, Jamir Singh PS, Othman A, Abdullah JM. Neural alterations in working memory of mild-moderate TBI: An fMRI study in Malaysia. J Neurosci Res 2022; 100:915-932. [PMID: 35194817 DOI: 10.1002/jnr.25023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 10/10/2021] [Accepted: 12/31/2021] [Indexed: 02/05/2023]
Abstract
Working memory (WM) encompasses crucial cognitive processes or abilities to retain and manipulate temporary information for immediate execution of complex cognitive tasks in daily functioning such as reasoning and decision-making. The WM of individuals sustaining traumatic brain injury (TBI) was commonly compromised, especially in the domain of WM. The current study investigated the brain responses of WM in a group of participants with mild-moderate TBI compared to their healthy counterparts employing functional magnetic resonance imaging. All consented participants (healthy: n = 26 and TBI: n = 15) performed two variations of the n-back WM task with four load conditions (0-, 1-, 2-, and 3-back). The respective within-group effects showed a right hemisphere-dominance activation and slower reaction in performance for the TBI group. Random-effects analysis revealed activation difference between the two groups in the right occipital lobe in the guided n-back with cues, and in the bilateral occipital lobe, superior parietal region, and cingulate cortices in the n-back without cues. The left middle frontal gyrus was implicated in the load-dependent processing of WM in both groups. Further group analysis identified that the notable activation changes in the frontal gyri and anterior cingulate cortex are according to low and high loads. Though relatively smaller in scale, this study was eminent as it clarified the neural alterations in WM in the mild-moderate TBI group compared to healthy controls. It confirmed the robustness of the phenomenon in TBI with the reproducibility of the results in a heterogeneous non-Western sample.
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Affiliation(s)
- Wen Jia Chai
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Aini Ismafairus Abd Hamid
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Hazim Omar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Riddha Abdul Rahman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia
| | - Diana Noma Fitzrol
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zamzuri Idris
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Abdul Rahman Izaini Ghani
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wan Nor Azlen Wan Mohamad
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Faiz Mustafar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Hafiz Hanafi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | | | - Mohd Zaid Abdullah
- School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Kannapha Amaruchkul
- Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand
| | - Pedro A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Maria L Bringas-Vega
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jitkomut Songsiri
- EE410 Control Systems Laboratory, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Hamwira Yaacob
- Department of Computer Science, Kulliyyah of Information and Communication Technology, Kuala Lumpur, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | - Haidi Ibrahim
- Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Putra Sumari
- School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Nor Azila Noh
- Department of Medical Science 1, Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Asma Hayati Ahmad
- Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Azlinda Azman
- School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia.,School of Social Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | | | - Azizah Othman
- Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Jafri Malin Abdullah
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
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Ahmad NA, Mohd MH, Musa KI, Abdullah JM, Othman NA. Modelling COVID-19 Scenarios for the States and Federal Territories of Malaysia. Malays J Med Sci 2022; 28:1-9. [PMID: 35115883 PMCID: PMC8793970 DOI: 10.21315/mjms2021.28.5.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/05/2021] [Indexed: 02/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease, which has become pandemic since December 2019. In the recent months, among five countries in the Southeast Asia, Malaysia has the highest per-capita daily new cases and daily new deaths. A mathematical modelling approach using a Singular Spectrum Analysis (SSA) technique was used to generate data-driven 30-days ahead forecasts for the number of daily cases in the states and federal territories in Malaysia at four consecutive time points between 27 July 2021 and 26 August 2021. Each forecast was produced using SSA prediction model of the current major trend at each time point. The objective is to understand the transition dynamics of COVID-19 in each state by analysing the direction of change of the major trends during the period of study. The states and federal territories in Malaysia were grouped in four categories based on the nature of the transition. Overall, it was found that the COVID-19 spread has progressed unevenly across states and federal territories. Major regions like Selangor, Kuala Lumpur, Putrajaya and Negeri Sembilan were in Group 3 (fast decrease in infectivity) and Labuan was in Group 4 (possible eradication of infectivity). Other states e.g. Pulau Pinang, Sabah, Sarawak, Kelantan and Johor were categorised in Group 1 (very high infectivity levels) with Perak, Kedah, Pahang, Terengganu and Melaka were classified in Group 2 (high infectivity levels). It is also cautioned that SSA provides a promising avenue for forecasting the transition dynamics of COVID-19; however, the reliability of this technique depends on the availability of good quality data.
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Affiliation(s)
- Noor Atinah Ahmad
- School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Mohd Hafiz Mohd
- School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Kamarul Imran Musa
- School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Jafri Malin Abdullah
- School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Nurul Ashikin Othman
- School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
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Haji Mukhti MI, Ibrahim MI, Tengku Ismail TA, Nadal IP, Kamalakannan S, Kinra S, Musa KI. Family Caregivers' Experiences and Coping Strategies in Managing Stroke Patients during the COVID-19 Pandemic: A Qualitative Exploration Study. Int J Environ Res Public Health 2022; 19:ijerph19020942. [PMID: 35055764 PMCID: PMC8775342 DOI: 10.3390/ijerph19020942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/29/2021] [Accepted: 01/13/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Stroke is a chronic disease that requires stroke survivors to be supported long-term by their families. This is especially because of the inaccessibility to post-stroke rehabilitation outside hospitals. The Corona Virus Disease 2019 (COVID-19) crisis and the pandemic restrictions in Malaysia are expected to exponentially increase the demand from family caregivers in supporting stroke survivors. Thus, this study aims to explore the burden, experience, and coping mechanism of the family caregivers supporting stroke survivors during the COVID-19 pandemic. METHODOLOGY A phenomenological qualitative study was conducted from November 2020 to June 2021 in Malaysia. A total of 13 respondents were recruited from two public rehabilitation centers in Kota Bharu, Kelantan. In-depth interviews were conducted with the participants. Comprehensive representation of perspectives from the respondents was achieved through purposive sampling. The interviews were conducted in the Kelantanese dialect, recorded, transcribed, and analyzed using thematic analysis. RESULTS Three themes on burdens and experiences were identified. They were worsening pre-existing issues, emerging new issues, and fewer burdens and challenges. Two themes on coping strategies were also identified. They were problem-focused engagement and emotion-focused engagement. CONCLUSIONS The COVID-19 pandemic has changed the entire system of stroke management. While family caregivers mostly faced the extra burden through different experiences, they also encountered some positive impacts from the pandemic. The integrated healthcare system, especially in the era of digitalization, is an important element to establish the collaborative commitment of multiple stakeholders to compensate burden and sustain the healthcare of stroke survivors during the pandemic.
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Affiliation(s)
- Muhammad Iqbal Haji Mukhti
- Department of Community Medicine, Health Campus, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia; (M.I.H.M.); (T.A.T.I.); (K.I.M.)
| | - Mohd Ismail Ibrahim
- Department of Community Medicine, Health Campus, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia; (M.I.H.M.); (T.A.T.I.); (K.I.M.)
- Correspondence: ; Tel.: +60-97-676-621
| | - Tengku Alina Tengku Ismail
- Department of Community Medicine, Health Campus, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia; (M.I.H.M.); (T.A.T.I.); (K.I.M.)
| | - Iliatha Papachristou Nadal
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK; (I.P.N.); (S.K.); (S.K.)
| | - Sureshkumar Kamalakannan
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK; (I.P.N.); (S.K.); (S.K.)
- Department of Social Work, Education and Wellbeing, Faculty of Health and Life Sciences, Northumbria University, New Castle NE7 7XA, UK
| | - Sanjay Kinra
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK; (I.P.N.); (S.K.); (S.K.)
| | - Kamarul Imran Musa
- Department of Community Medicine, Health Campus, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia; (M.I.H.M.); (T.A.T.I.); (K.I.M.)
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6
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Masrani AS, Nik Husain NR, Musa KI, Yasin AS. Article title: Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia. J Prev Med Public Health 2022; 55:80-87. [PMID: 35135051 PMCID: PMC8841195 DOI: 10.3961/jpmph.21.461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/12/2021] [Indexed: 02/05/2023] Open
Abstract
Objectives Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15’N 102°0’E). Methods This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering. Results A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts. Conclusions A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission.
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Affiliation(s)
- Afiqah Syamimi Masrani
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Nik Rosmawati Nik Husain
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Corresponding author: Nik Rosmawati Nik Husain Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, 16150 Kota Bharu, Kelantan, Malaysia E-mail:
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia
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Owolabi MO, Thrift AG, Mahal A, Ishida M, Martins S, Johnson WD, Pandian J, Abd-Allah F, Yaria J, Phan HT, Roth G, Gall SL, Beare R, Phan TG, Mikulik R, Akinyemi RO, Norrving B, Brainin M, Feigin VL. Primary stroke prevention worldwide: translating evidence into action. Lancet Public Health 2022; 7:e74-e85. [PMID: 34756176 PMCID: PMC8727355 DOI: 10.1016/s2468-2667(21)00230-9] [Citation(s) in RCA: 130] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/20/2021] [Accepted: 09/20/2021] [Indexed: 02/05/2023]
Abstract
Stroke is the second leading cause of death and the third leading cause of disability worldwide and its burden is increasing rapidly in low-income and middle-income countries, many of which are unable to face the challenges it imposes. In this Health Policy paper on primary stroke prevention, we provide an overview of the current situation regarding primary prevention services, estimate the cost of stroke and stroke prevention, and identify deficiencies in existing guidelines and gaps in primary prevention. We also offer a set of pragmatic solutions for implementation of primary stroke prevention, with an emphasis on the role of governments and population-wide strategies, including task-shifting and sharing and health system re-engineering. Implementation of primary stroke prevention involves patients, health professionals, funders, policy makers, implementation partners, and the entire population along the life course.
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Affiliation(s)
- Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
| | - Amanda G Thrift
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Ajay Mahal
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Marie Ishida
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Sheila Martins
- Department of Neurology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Department of Neurology, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil; Department of Neurology, Hospital Moinhos de Vento, Porto Alegre, Brazil; Brazilian Stroke Network, São Paulo, Brazil
| | - Walter D Johnson
- School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Jeyaraj Pandian
- School of Public Health, Christian Medical College, Ludhiana, Punjab, India
| | - Foad Abd-Allah
- Department of Neurology, Kasr Alainy School of Medicine, Cairo University, Cairo, Egypt
| | - Joseph Yaria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Hoang T Phan
- Department of Neurology, Monash University, Melbourne, VIC, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Greg Roth
- Institute for Health Metrics Evaluation, University of Washington, Seattle, WA, USA
| | - Seana L Gall
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Richard Beare
- Monash Health, and Peninsula Clinical School, Monash University, Melbourne, VIC, Australia; Developmental Imaging Group, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Thanh G Phan
- Department of Neurology, Monash University, Melbourne, VIC, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Robert Mikulik
- International Clinical Research Center, Neurology Department, St Anne's University Hospital, Masaryk University, Brno, Czech Republic
| | - Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Bo Norrving
- Department of Clinical Sciences, and Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Michael Brainin
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems an der Donau, Austria
| | - Valery L Feigin
- Institute for Health Metrics Evaluation, University of Washington, Seattle, WA, USA; National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand; Scientific and Educational Department, Research Centre of Neurology, Moscow, Russia.
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Rahim AIA, Ibrahim MI, Chua SL, Musa KI. Hospital Facebook Reviews Analysis Using a Machine Learning Sentiment Analyzer and Quality Classifier. Healthcare (Basel) 2021; 9:1679. [PMID: 34946405 DOI: 10.3390/healthcare9121679] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/30/2021] [Accepted: 12/02/2021] [Indexed: 02/05/2023] Open
Abstract
While experts have recognised the significance and necessity of social media integration in healthcare, no systematic method has been devised in Malaysia or Southeast Asia to include social media input into the hospital quality improvement process. The goal of this work is to explain how to develop a machine learning system for classifying Facebook reviews of public hospitals in Malaysia by using service quality (SERVQUAL) dimensions and sentiment analysis. We developed a Machine Learning Quality Classifier (MLQC) based on the SERVQUAL model and a Machine Learning Sentiment Analyzer (MLSA) by manually annotated multiple batches of randomly chosen reviews. Logistic regression (LR), naive Bayes (NB), support vector machine (SVM), and other methods were used to train the classifiers. The performance of each classifier was tested using 5-fold cross validation. For topic classification, the average F1-score was between 0.687 and 0.757 for all models. In a 5-fold cross validation of each SERVQUAL dimension and in sentiment analysis, SVM consistently outperformed other methods. The study demonstrates how to use supervised learning to automatically identify SERVQUAL domains and sentiments from patient experiences on a hospital's Facebook page. Malaysian healthcare providers can gather and assess data on patient care via the use of these content analysis technology to improve hospital quality of care.
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Hanis TM, Islam MA, Musa KI. Top 100 Most-Cited Publications on Breast Cancer and Machine Learning Research: A Bibliometric Analysis. Curr Med Chem 2021; 29:1426-1435. [PMID: 34749608 DOI: 10.2174/0929867328666211108110731] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/28/2021] [Accepted: 08/26/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Rapid advancement in computing technology and digital information leads to the possible use of machine learning on breast cancer. OBJECTIVE This study aimed to evaluate the research output of the top 100 publications and further identify a research theme of breast cancer and machine-learning studies. METHODS Databases of Scopus and Web of Science were used to extract the top 100 publications. These publications were filtered based on the total citation of each paper. Additionally, a bibliometric analysis was applied to the top 100 publications. RESULTS The top 100 publications were published between 1993 and 2019. The most productive author was Giger ML, and the top two institutions were the University of Chicago and the National University of Singapore. The most active countries were the USA, Germany and China. Ten clusters were identified as both basic and specialised themes of breast cancer and machine learning. CONCLUSION Various countries demonstrated comparable interest in breast cancer and machine-learning research. A few Asian countries, such as China, India and Singapore, were listed in the top 10 countries based on the total citation. Additionally, the use of deep learning and breast imaging data was trending in the past 10 years in the field of breast cancer and machine-learning research.
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Affiliation(s)
- Tengku Muhammad Hanis
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian. Malaysia
| | - Md Asiful Islam
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian. Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian. Malaysia
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Masrani AS, Nik Husain NR, Musa KI, Yasin AS. Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model. Biomed Res Int 2021; 2021:3540964. [PMID: 34734083 DOI: 10.1155/2021/3540964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 02/05/2023]
Abstract
Introduction Dengue, a vector-borne viral illness, shows worldwide widening spatial distribution beyond its point of origination, namely, the tropical belt. The persistent hyperendemicity in Malaysia has resulted in the formation of the dengue early warning system. However, weather variables are yet to be fully utilized for prevention and control activities, particularly in east-coast peninsular Malaysia where limited studies have been conducted. We aim to provide a time-based estimate of possible dengue incidence increase following weather-related changes, thereby highlighting potential dengue outbreaks. Method All serologically confirmed dengue patients in Kelantan, a northeastern state in Malaysia, registered in the eDengue system with an onset of disease from January 2016 to December 2018, were included in the study with the exclusion of duplicate entry. Using a generalized additive model, climate data collected from the Kota Bharu weather station (latitude 6°10′N, longitude 102°18′E) was analysed with dengue data. Result A cyclical pattern of dengue cases was observed with annual peaks coinciding with the intermonsoon period. Our analysis reveals that maximum temperature, mean temperature, rainfall, and wind speed have a significant nonlinear effect on dengue cases in Kelantan. Our model can explain approximately 8.2% of dengue incidence variabilities. Conclusion Weather variables affect nearly 10% of the dengue incidences in Northeast Malaysia, thereby making it a relevant variable to be included in a dengue early warning system. Interventions such as vector control activities targeting the intermonsoon period are recommended.
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Rahim AIA, Ibrahim MI, Musa KI, Chua SL, Yaacob NM. Patient Satisfaction and Hospital Quality of Care Evaluation in Malaysia Using SERVQUAL and Facebook. Healthcare (Basel) 2021; 9:healthcare9101369. [PMID: 34683050 PMCID: PMC8544585 DOI: 10.3390/healthcare9101369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/27/2021] [Accepted: 10/12/2021] [Indexed: 02/05/2023] Open
Abstract
Social media sites, dubbed patient online reviews (POR), have been proposed as new methods for assessing patient satisfaction and monitoring quality of care. However, the unstructured nature of POR data derived from social media creates a number of challenges. The objectives of this research were to identify service quality (SERVQUAL) dimensions automatically from hospital Facebook reviews using a machine learning classifier, and to examine their associations with patient dissatisfaction. From January 2017 to December 2019, empirical research was conducted in which POR were gathered from the official Facebook page of Malaysian public hospitals. To find SERVQUAL dimensions in POR, a machine learning topic classification utilising supervised learning was developed, and this study’s objective was established using logistic regression analysis. It was discovered that 73.5% of patients were satisfied with the public hospital service, whereas 26.5% were dissatisfied. SERVQUAL dimensions identified were 13.2% reviews of tangible, 68.9% of reliability, 6.8% of responsiveness, 19.5% of assurance, and 64.3% of empathy. After controlling for hospital variables, all SERVQUAL dimensions except tangible and assurance were shown to be significantly related with patient dissatisfaction (reliability, p < 0.001; responsiveness, p = 0.016; and empathy, p < 0.001). Rural hospitals had a higher probability of patient dissatisfaction (p < 0.001). Therefore, POR, assisted by machine learning technologies, provided a pragmatic and feasible way for capturing patient perceptions of care quality and supplementing conventional patient satisfaction surveys. The findings offer critical information that will assist healthcare authorities in capitalising on POR by monitoring and evaluating the quality of services in real time.
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Affiliation(s)
- Afiq Izzudin A. Rahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Mohd Ismail Ibrahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
- Correspondence: ; Tel.: +60-9767-6621; Fax: +60-9765-3370
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Sook-Ling Chua
- Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Selangor, Malaysia;
| | - Najib Majdi Yaacob
- Unit of Biostatistics and Research Methodology, Health Campus, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia;
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Hand, Foot and Mouth Disease (HFMD): Prevalence and its Spatial Relationship with Vaccine Refusal Cases in Terengganu, Malaysia. IJG. [DOI: 10.52939/ijg.v17i5.2001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Hand, foot and mouth disease (HFMD) is a global public health problem with pandemic potential. The progressive increment of HFMD cases in Malaysia needs further investigation to identify the pattern of disease spread, including its proximity to vaccine refusal. We sought to estimate the prevalence of HFMD in Terengganu and determine the spatial relationship between HFMD and vaccine refusal cases. This study employed data from the national electronic communicable disease notification system and vaccine refusal database maintained by the Communicable Disease Control (CDC) Unit and Maternal and Child Health Care (MCH) Unit. Data from all cases recorded in 2016 were provided by the Terengganu State Health Department, Malaysia. The number of HFMD cases for each district was estimated using the points-in-polygons function in R software. The spatial relationship between HFMD cases and vaccine refusal cases was tested using the cross K-function test. A total of 811 HFMD cases was notified in 2016, with the overall prevalence at 80.2 cases per 100,000 population. Among all districts in Terengganu, the prevalence of HFMD ranged from 19.2 to 230.9 cases per 100,000 population, with the cases highly concentrated in three districts: Kuala Terengganu, Marang, and Dungun. There was evidence of a spatial cluster of HFMD cases based on the Nearest Neighbour Index, r = 0.27 (p-value < 0.01). Moreover, the locations of HFMD cases were statistically and closely related to the areas of vaccine refusal cases (cross K test, p-value < 0.010). The prevalence of HFMD from year to year was high. HFMD cases and vaccine refusal cases formed clusters in the districts with a high-density population. The proximity of HFMD cases and vaccine refusal cases in Terengganu warrants further investigation.
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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Owolabi MO, Thrift AG, Martins S, Johnson W, Pandian J, Abd-Allah F, Varghese C, Mahal A, Yaria J, Phan HT, Roth G, Gall SL, Beare R, Phan TG, Mikulik R, Norrving B, Feigin VL. The state of stroke services across the globe: Report of World Stroke Organization-World Health Organization surveys. Int J Stroke 2021; 16:889-901. [PMID: 33988062 PMCID: PMC8800855 DOI: 10.1177/17474930211019568] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization-World Health Organization-Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries. METHODS Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019. RESULTS Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p < 0.001). Acute stroke treatments were offered in ∼ 60% of high-income countries compared to 26% of low-income countries (p = 0.009). Compared to high-income countries, LMICs provided less rehabilitation services including in-patient rehabilitation, home assessment, community rehabilitation, education, early hospital discharge program, and presence of rehabilitation protocol. CONCLUSIONS There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.
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Affiliation(s)
- Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Amanda G Thrift
- Epidemiology and Prevention Division, Stroke and Ageing Research (STAR), School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Sheila Martins
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Hospital Moinhos de Vento & Brazilian Stroke Network
| | | | | | - Foad Abd-Allah
- Department of Neurology, Kasr Alainy School of Medicine, Cairo University, Cairo, Egypt
| | - Cherian Varghese
- Non-communicable Disease Department, World Health Organization, Geneva, Switzerland
| | - Ajay Mahal
- Nossal Institute of Global Health, University of Melbourne, Australia
| | - Joseph Yaria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Hoang T Phan
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Gregory Roth
- NUI Galway Health Research Board, Clinical Research Coordination, Galway, Ireland
| | - Seana L Gall
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Richard Beare
- Peninsula Clinical School, Monash University, and Developmental Imaging Group, Murdoch Children's Research Institute, Melbourne, Australia
| | - Thanh G Phan
- Department of Neurology, Monash Health and School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Robert Mikulik
- International Clinical Research Center and Neurology Department of St. Anne's, University Hospital and Masaryk University, Brno, Czech Republic
| | - Bo Norrving
- Department of Clinical Sciences, Lund University, Sweden
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences (NISAN), School of Clinical Sciences, Auckland University of Technology, New Zealand
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15
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A. Rahim AI, Ibrahim MI, Musa KI, Chua SL, Yaacob NM. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. Int J Environ Res Public Health 2021; 18:ijerph18189912. [PMID: 34574835 PMCID: PMC8466628 DOI: 10.3390/ijerph18189912] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 02/05/2023]
Abstract
Social media is emerging as a new avenue for hospitals and patients to solicit input on the quality of care. However, social media data is unstructured and enormous in volume. Moreover, no empirical research on the use of social media data and perceived hospital quality of care based on patient online reviews has been performed in Malaysia. The purpose of this study was to investigate the determinants of positive sentiment expressed in hospital Facebook reviews in Malaysia, as well as the association between hospital accreditation and sentiments expressed in Facebook reviews. From 2017 to 2019, we retrieved comments from 48 official public hospitals’ Facebook pages. We used machine learning to build a sentiment analyzer and service quality (SERVQUAL) classifier that automatically classifies the sentiment and SERVQUAL dimensions. We utilized logistic regression analysis to determine our goals. We evaluated a total of 1852 reviews and our machine learning sentiment analyzer detected 72.1% of positive reviews and 27.9% of negative reviews. We classified 240 reviews as tangible, 1257 reviews as trustworthy, 125 reviews as responsive, 356 reviews as assurance, and 1174 reviews as empathy using our machine learning SERVQUAL classifier. After adjusting for hospital characteristics, all SERVQUAL dimensions except Tangible were associated with positive sentiment. However, no significant relationship between hospital accreditation and online sentiment was discovered. Facebook reviews powered by machine learning algorithms provide valuable, real-time data that may be missed by traditional hospital quality assessments. Additionally, online patient reviews offer a hitherto untapped indication of quality that may benefit all healthcare stakeholders. Our results confirm prior studies and support the use of Facebook reviews as an adjunct method for assessing the quality of hospital services in Malaysia.
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Affiliation(s)
- Afiq Izzudin A. Rahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Mohd Ismail Ibrahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
- Correspondence: ; Tel.: +60-97676621; Fax: +60-97653370
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Sook-Ling Chua
- Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Selangor, Malaysia;
| | - Najib Majdi Yaacob
- Units of Biostatistics and Research Methodology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia;
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16
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Mat Said Z, Musa KI, Tengku Ismail TA, Abdul Hamid A, Sahathevan R, Abdul Aziz Z, Feigin V. The Effectiveness of Stroke Riskometer™ in Improving Stroke Risk Awareness in Malaysia: A Study Protocol of a Cluster-Randomized Controlled Trial. Neuroepidemiology 2021; 55:436-446. [PMID: 34535608 DOI: 10.1159/000518853] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 08/03/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Stroke is considered the second leading cause of mortality and disability worldwide. The increasing burden of stroke is strong evidence that currently used primary prevention strategies are not sufficiently effective. The Stroke Riskometer™ application (app) represents a new stroke prevention strategy distinctly different from the conventional high-cardiovascular disease risk approach. OBJECTIVE This proposed study aims to evaluate the effectiveness of the Stroke Riskometer™ app in improving stroke awareness and stroke risk probability amongst the adult population in Malaysia. METHODS A non-blinded, parallel-group cluster-randomized controlled trial with a 1:1 allocation ratio will be implemented in Kelantan, Malaysia. Two groups with a sample size of 66 in each group will be recruited. The intervention group will be equipped with the Stroke Riskometer™ app and informational leaflets, while the control group will be provided with standard management, including information leaflets only. The Stroke Riskometer™ app was developed according to the self-management model of chronic diseases based on self-regulation and social cognitive theories. Data collection will be conducted at baseline and on the third week, sixth week, and sixth month follow-up via telephone interview or online questionnaire survey. The primary outcome measure is stroke risk awareness, including the domains of knowledge, perception, and intention to change. The secondary outcome measure is stroke risk probability within 5 and 10 years adjusted to each participant's socio-demographic and/or socio-economic status. An intention-to-treat approach will be used to evaluate these measures. Pearson's χ2 or independent t test will be used to examine differences between the intervention and control groups. The generalized estimating equation and the linear mixed-effects model will be employed to test the overall effectiveness of the intervention. CONCLUSION This study will evaluate the effect of Stroke Riskometer™ app on stroke awareness and stroke probability and briefly evaluate participant engagement to a pre-specified trial protocol. The findings from this will inform physicians and public health professionals of the benefit of mobile technology intervention and encourage more active mobile phone-based disease prevention apps. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT04529681.
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Affiliation(s)
- Zarudin Mat Said
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Malaysia,
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Malaysia
| | - Tengku Alina Tengku Ismail
- Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Malaysia
| | - Anees Abdul Hamid
- Primary Care Unit, Kelantan State Health Department, Kota Bharu, Malaysia
| | - Ramesh Sahathevan
- Department of Medicine and Neurology, Ballarat Health Services, Ballarat, Victoria, Australia
| | - Zariah Abdul Aziz
- Department of Medicine, Hospital Sultanah Nur Zahirah, Kuala Terengganu, Malaysia
| | - Valery Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology (AUT), Auckland City, New Zealand
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17
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, Margozzini Maira P, Miranda JJ, Neuhauser H, Sundström J, Varghese C, Widyahening IS, Zdrojewski T, Abarca-Gómez L, Abdeen ZA, Abdul Rahim HF, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmadizar F, Ahmed SH, Ahrens W, Ajlouni K, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Aly E, Amarapurkar DN, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Auvinen J, Avdićová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Banadinović M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benson LS, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bia D, Biasch K, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bojesen SE, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boyer CB, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Briceño Y, Brito M, Bruno G, Bueno-de-Mesquita HB, Bueno G, Bugge A, Burns C, Bursztyn M, Cabrera de León A, Cacciottolo J, Cameron C, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carvalho J, Casanueva FF, Censi L, Cervantes-Loaiza M, Chadjigeorgiou CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui L, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, Dallongeville J, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Delisle H, Demarest S, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dörr M, Doua K, Dragano N, Drygas W, Duante CA, Duboz P, Duda RB, Dulskiene V, Dushpanova A, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Fawwad A, Felix-Redondo FJ, Felix SB, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Fumihiko M, Furdela V, Furer A, Furusawa T, Gaciong Z, Galbarczyk A, Galenkamp H, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Garcia P, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hari Kumar R, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He Y, Heier M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herqutanto, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Horasan Dinc G, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ibrahim Wong N, Ikram MA, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jóżwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalpourtzi N, Kalter-Leibovici O, Kampmann FB, Kannan S, Karaglani E, Kårhus LL, Karki KB, Katibeh M, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukačević Lovrenčić I, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lustigová M, Luszczki E, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marcil A, Mårild SB, Marinović Glavić M, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mascarenhas LP, Matasin M, Mathiesen EB, Mathur P, Matijasevich A, Matlosz P, Matsha TE, Mavrogianni C, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Mendoza Montano C, Menezes AMB, Menon GR, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Mirjalili MR, Mirrakhimov E, Mišigoj-Duraković M, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mostafavi SA, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muhihi AJ, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musa KI, Musić Milanović S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Ndiaye NC, Neal WA, Nejatizadeh A, Nenko I, Neovius M, Nguyen CT, Nguyen ND, Nguyen QV, Nguyen QN, Nieto-Martínez RE, Niiranen TJ, Nikitin YP, Ninomiya T, Nishtar S, Njelekela MA, Noale M, Noboa OA, Noorbala AA, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nunes B, O'Neill TW, O'Reilly D, Ochimana C, Oda E, Odili AN, Oh K, Ohara K, Ohtsuka R, Olié V, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Paiva KMD, Pająk A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pasquet P, Patel ND, Pavlyshyn H, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Peters A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Polašek O, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Queiroz D, Quoc Bao T, Radić I, Radisauskas R, Rahimikazerooni S, Rahman M, Raitakari O, Raj M, Rakhimova EM, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thinggaard M, Thomas N, Thorand B, Thuesen BH, Timmermans EJ, Tjandrarini DH, Tjonneland A, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzourio C, Ueda P, Ugel E, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Varbo A, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Verstraeten R, Victora CG, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Jamiluddin MS, Mohd MH, Ahmad NA, Musa KI. Situational Analysis for COVID-19: Estimating Transmission Dynamics in Malaysia using an SIR-Type Model with Neural Network Approach. SAINS MALAYS 2021. [DOI: 10.17576/jsm-2021-5008-27] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
COVID-19 is a major health threat across the globe, which causes severe acute respiratory syndrome, and it is highly contagious with significant morbidity and mortality. In this paper, we examine the feasibility and implications of several phases of Movement Control Order (MCO) and some non-pharmaceutical intervention (NPI) strategies implemented by Malaysian government in the year 2020 using a mathematical model with SIR-neural network approaches. It is observed that this model is able to mimic the trend of infection trajectories of COVID-19 pandemic and, Malaysia had succeeded to flatten the infection curve at the end of the Conditional MCO (CMCO) period. However, the signs of ‘flattening’ with R0 of less than one had been taken as a signal to ease up on some restrictions enforced before. Though the government has made compulsory the use of face masks in public places to control the spread of COVID-19, we observe a contrasting finding from our model with regards to the impacts of wearing mask policies in Malaysia on R0 and the infection curve. Additionally, other events such as the Sabah State Election at the end of third quarter of 2020 has also imposed a dramatic COVID-19 burden on the society and the healthcare systems.
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A. Rahim AI, Ibrahim MI, Musa KI, Chua SL. Facebook Reviews as a Supplemental Tool for Hospital Patient Satisfaction and Its Relationship with Hospital Accreditation in Malaysia. Int J Environ Res Public Health 2021; 18:ijerph18147454. [PMID: 34299905 PMCID: PMC8306730 DOI: 10.3390/ijerph18147454] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 02/05/2023]
Abstract
Patient satisfaction is one indicator used to assess the impact of accreditation on patient care. However, traditional patient satisfaction surveys have a few disadvantages, and some researchers have suggested that social media be used in their place. Social media usage is gaining popularity in healthcare organizations, but there is still a paucity of data to support it. The purpose of this study was to determine the association between online reviews and hospital patient satisfaction and the relationship between online reviews and hospital accreditation. We used a cross-sectional design with data acquired from the official Facebook pages of 48 Malaysian public hospitals, 25 of which are accredited. We collected all patient comments from Facebook reviews of those hospitals between 2018 and 2019. Spearman’s correlation and logistic regression were used to evaluate the data. There was a significant and moderate correlation between hospital patient satisfaction and online reviews. Patient satisfaction was closely connected to urban location, tertiary hospital, and previous Facebook ratings. However, hospital accreditation was not found to be significantly associated with online reports of patient satisfaction. This groundbreaking study demonstrates how Facebook reviews can assist hospital administrators in monitoring their institutions’ quality of care in real time.
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Affiliation(s)
- Afiq Izzudin A. Rahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Mohd Ismail Ibrahim
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
- Correspondence: ; Tel.: +60-97676621; Fax: +60-97653370
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia; (A.I.A.R.); (K.I.M.)
| | - Sook-Ling Chua
- Faculty of Computing and Informatics, Persiaran Multimedia, Multimedia University, Cyberjaya 63100, Selangor, Malaysia;
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Musa KI, Arifin WN, Mohd MH, Jamiluddin MS, Ahmad NA, Chen XW, Hanis TM, Bulgiba A. Measuring Time-Varying Effective Reproduction Numbers for COVID-19 and Their Relationship with Movement Control Order in Malaysia. Int J Environ Res Public Health 2021; 18:3273. [PMID: 33809958 DOI: 10.3390/ijerph18063273] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/18/2021] [Accepted: 03/18/2021] [Indexed: 02/05/2023]
Abstract
To curb the spread of SARS-CoV-2 virus (COVID-19) in Malaysia, the government imposed a nationwide movement control order (MCO) from 18 March 2020 to 3 May 2020. It was enforced in four phases (i.e., MCO 1, MCO 2, MCO 3 and MCO 4). In this paper, we propose an initiative to assess the impact of MCO by using time-varying reproduction number (Rt). We used data from the Johns Hopkins University Centre for Systems Science and Engineering Coronavirus repository. Day 1 was taken from the first assumed local transmission of COVID-19. We estimated Rt by using the EpiEstim package and plotted the epidemic curve and Rt. Then, we extracted the mean Rt at day 1, day 5 and day 10 for all MCO phases and compared the differences. The Rt values peaked around day 43, which was shortly before the start of MCO 1. The means for Rt at day 1, day 5, and day 10 for all MCOs ranged between 0.665 and 1.147. The average Rt gradually decreased in MCO 1 and MCO 2. Although spikes in the number of confirmed cases were observed when restrictions were gradually relaxed in the later MCO phases, the situation remained under control with Rt values being stabilised to below unity level (Rt value less than one).
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Iurilli MLC, Zhou B, Bennett JE, Carrillo-Larco RM, Sophiea MK, Rodriguez-Martinez A, Bixby H, Solomon BD, Taddei C, Danaei G, Di Cesare M, Stevens GA, Riley LM, Savin S, Cowan MJ, Bovet P, Damasceno A, Chirita-Emandi A, Hayes AJ, Ikeda N, Jackson RT, Khang YH, Laxmaiah A, Liu J, Miranda JJ, Saidi O, Sebert S, Sorić M, Starc G, Gregg EW, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Ghaffar SA, Rahim HFA, Abu-Rmeileh NM, Garba JA, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Lahou B, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Bo Andersen L, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Avi S, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Jørgensen MB, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Basit A, Bastos JLD, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Belavendra A, Romdhane HB, Benedics J, Benet M, Bergh IH, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhutta ZA, Bi H, Bi Y, Bia D, Lele ECB, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Brophy S, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, de León AC, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Rahim NCA, Li Chee M, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, Czenczek-Lewandowska E, D'Arrigo G, d'Orsi E, Dacica L, Re Saavedra MÁD, Dallongeville J, Damsgaard CT, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, Jr DeGennaro V, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Dereń K, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Dragano N, Drygas W, Li Duan J, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, la Peña JED, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Sant'Angelo VF, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldberg M, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, da Silva BGC, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutiérrez-González E, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Kumar RH, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, He J, He Y, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, dos Santos Henrique R, Henriques A, Cadena LH, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Homs C, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Petrescu CH, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Wong NI, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jonnagaddala J, Jørgensen T, Joshi P, Joukar F, Jovic DP, Jóźwiak JJ, Juolevi A, Jurak G, Simina IJ, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kampmann FB, Kanala KR, Kannan S, Kapantais E, Karakosta A, Kårhus LL, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, Klakk H, Klimek M, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratenova J, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Landais E, Lanska V, Lappas G, Larijani B, Latt TS, Lauria L, Lazo-Porras M, Le Coroller G, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Liivak M, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Litwin M, Liu L, Lo WC, Loit HM, Long KQ, Lopes L, Lopes O, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukrafka JL, 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Milkowska K, Miller JC, Minderico CS, Mini GK, Miquel JF, Mirjalili MR, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle M, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin SN, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Milanovic SM, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Ei K Nang E, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Neal WA, Nejatizadeh A, Nekkantti C, Nelis K, 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Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Weghuber D, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu LJ, Wu S, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Md Yusof S, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
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- Capital Medical University Beijing An Zhen Hospital
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- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
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- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
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- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
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- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
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- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
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- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
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- Victor Babes University of Medicine and Pharmacy Timisoara
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- Institut National de la Santé et de la Recherche Médicale
- Paris University
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- Capital Medical University Beijing Tongren Hospital
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- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
| | | | | | | | | | | | | | - Yuan He
- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
| | | | | | | | | | | | - Ana Henriques
- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
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- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
| | | | | | | | | | - Stefania Maggi
- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
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- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
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- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
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- Instituto Conmemorativo Gorgas de Estudios de la Salud
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- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
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- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Zeng
- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
| | | | | | | | - Maigeng Zhou
- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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22
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Galler JR, Bringas-Vega ML, Tang Q, Rabinowitz AG, Musa KI, Chai WJ, Omar H, Abdul Rahman MR, Abd Hamid AI, Abdullah JM, Valdés-Sosa PA. Neurodevelopmental effects of childhood malnutrition: A neuroimaging perspective. Neuroimage 2021; 231:117828. [PMID: 33549754 DOI: 10.1016/j.neuroimage.2021.117828] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 01/28/2021] [Accepted: 01/31/2021] [Indexed: 02/08/2023] Open
Abstract
Approximately one in five children worldwide suffers from childhood malnutrition and its complications, including increased susceptibility to inflammation and infectious diseases. Due to improved early interventions, most of these children now survive early malnutrition, even in low-resource settings (LRS). However, many continue to exhibit neurodevelopmental deficits, including low IQ, poor school performance, and behavioral problems over their lifetimes. Most studies have relied on neuropsychological tests, school performance, and mental health and behavioral measures. Few studies, in contrast, have assessed brain structure and function, and to date, these have mainly relied on low-cost techniques, including electroencephalography (EEG) and evoked potentials (ERP). The use of more advanced methods of neuroimaging, including magnetic resonance imaging (MRI) and functional near-infrared spectroscopy (fNIRS), has been limited by cost factors and lack of availability of these technologies in developing countries, where malnutrition is nearly ubiquitous. This report summarizes the current state of knowledge and evidence gaps regarding childhood malnutrition and the study of its impact on neurodevelopment. It may help to inform the development of new strategies to improve the identification, classification, and treatment of neurodevelopmental disabilities in underserved populations at the highest risk for childhood malnutrition.
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23
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Musa KI, Abdullah JM. Malaysia and COVID-19: In Data We Trust. Malays J Med Sci 2021; 27:1-6. [PMID: 33447129 PMCID: PMC7785267 DOI: 10.21315/mjms2020.27.6.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 12/05/2020] [Indexed: 02/08/2023] Open
Abstract
The recent spike of transmissibility of COVID-19 was evident by a large number of COVID-19 cases and apparent quick spread of SARS-CoV-2 in the state of Sabah, Selangor and Negeri Sembilan in Malaysia. The question remains as to what are the main contributory factors for the impending COVID-19 second wave in Malaysia and why the current surveillance system fails to show signs of the impending second — or the third — COVID-19 wave. In public health surveillance, data are the ultimate indicator, and in the era of big data and the Industrial Revolution 4.0, data has become a valuable commodity. The COVID-19 data keeper must fulfil some criteria to ensure COVID-19 data are useful. Researchers are obligated to share their COVID-19 data responsibly. The surveillance for COVID-19 is paramount, and the guidelines such as the one published by the World Health Organization ‘Public health surveillance for COVID-19: interim guidance’ must be referred to. Data must be taken seriously and shared to enable scientists, clinicians, epidemiologists and public health experts fight COVID-19.
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Affiliation(s)
- Kamarul Imran Musa
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Jafri Malin Abdullah
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
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24
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Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, Bonny A, Brauer M, Brodmann M, Cahill TJ, Carapetis J, Catapano AL, Chugh SS, Cooper LT, Coresh J, Criqui M, DeCleene N, Eagle KA, Emmons-Bell S, Feigin VL, Fernández-Solà J, Fowkes G, Gakidou E, Grundy SM, He FJ, Howard G, Hu F, Inker L, Karthikeyan G, Kassebaum N, Koroshetz W, Lavie C, Lloyd-Jones D, Lu HS, Mirijello A, Temesgen AM, Mokdad A, Moran AE, Muntner P, Narula J, Neal B, Ntsekhe M, Moraes de Oliveira G, Otto C, Owolabi M, Pratt M, Rajagopalan S, Reitsma M, Ribeiro ALP, Rigotti N, Rodgers A, Sable C, Shakil S, Sliwa-Hahnle K, Stark B, Sundström J, Timpel P, Tleyjeh IM, Valgimigli M, Vos T, Whelton PK, Yacoub M, Zuhlke L, Murray C, Fuster V. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. J Am Coll Cardiol 2020; 76:2982-3021. [PMID: 33309175 PMCID: PMC7755038 DOI: 10.1016/j.jacc.2020.11.010] [Citation(s) in RCA: 3618] [Impact Index Per Article: 904.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/06/2020] [Accepted: 11/06/2020] [Indexed: 02/07/2023]
Abstract
Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
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Affiliation(s)
| | - George A Mensah
- National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, USA.
| | - Catherine O Johnson
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | - Enrico Ammirati
- De Gasperis Cardio Center and Transplant Center, Niguarda Hospital, Milan, Italy
| | | | - Noël C Barengo
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | | | - Emelia J Benjamin
- Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Aimé Bonny
- District Hospital of Bonassama-University of Douala, Douala, Cameroon
| | - Michael Brauer
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | - Sumeet S Chugh
- Cedars-Sinai, Smidt Heart Institute, Los Angeles, California, USA
| | | | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael Criqui
- University of California at San Diego, San Diego, California, USA
| | - Nicole DeCleene
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Kim A Eagle
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Sophia Emmons-Bell
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | | | - Gerry Fowkes
- University of Edinburgh, Edinburgh, United Kingdom
| | | | - Scott M Grundy
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Feng J He
- Queen Mary University of London, London, United Kingdom
| | - George Howard
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Frank Hu
- Harvard Medical School, Boston, Massachusetts, USA
| | - Lesley Inker
- Tufts Medical Center, Boston, Massachusetts, USA
| | - Ganesan Karthikeyan
- Cardiothoracic Sciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | | | - Walter Koroshetz
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Carl Lavie
- Ochsner Health, New Orleans, Louisiana, USA
| | - Donald Lloyd-Jones
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hong S Lu
- University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Antonio Mirijello
- IRCCS Casa Sollievo della Sofferenza Hospital, Department of Medical Sciences, San Giovanni Rotondo, Italy
| | - Awoke Misganaw Temesgen
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Ali Mokdad
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Andrew E Moran
- Columbia University Irving Medical Center, New York, New York, USA
| | - Paul Muntner
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bruce Neal
- The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | | | | | | | | | - Michael Pratt
- University of California at San Diego, San Diego, California, USA
| | - Sanjay Rajagopalan
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Marissa Reitsma
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Nancy Rigotti
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anthony Rodgers
- The George Institute for Global Health, Newtown, New South Wales, Australia; Imperial College of London, London, United Kingdom
| | - Craig Sable
- Children's National Hospital, Washington, DC, USA
| | - Saate Shakil
- University of Washington, Seattle, Washington, USA
| | | | | | | | | | | | | | - Theo Vos
- University of Washington, Seattle, Washington, USA
| | - Paul K Whelton
- Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Magdi Yacoub
- Imperial College of London, London, United Kingdom
| | - Liesl Zuhlke
- University of Cape Town, Cape Town, South Africa
| | - Christopher Murray
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Valentin Fuster
- Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
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25
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Awaluddin SM, Ismail N, Zakaria Y, Yasin SM, Razali A, Mutalip MHA, Lodz NA, Musa KI, Kusnin F, Aris T. Characteristics of paediatric patients with tuberculosis and associated determinants of treatment success in Malaysia using the MyTB version 2.1 database over five years. BMC Public Health 2020; 20:1903. [PMID: 33302908 PMCID: PMC7731774 DOI: 10.1186/s12889-020-10005-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 12/03/2020] [Indexed: 02/08/2023] Open
Abstract
Background Tuberculosis (TB) among children remains a significant public health problem in many parts of the world. The objective of this study was to describe the characteristics of TB patients and to determine the predictors of treatment success among children in Malaysia. Methods Secondary data from MyTB version 2.1, a national database, were analysed using R version 3.6.1. Descriptive analysis and multivariable logistic regression were conducted to identify treatment success and its determinants. Results In total, 3630 cases of TB cases were registered among children in Malaysia between 2013 and 2017. The overall treatment success rate was 87.1% in 2013 and plateaued between 90.1 and 91.4% from 2014 to 2017. TB treatment success was positively associated with being a Malaysian citizen (aOR = 3.43; 95% CI = 2.47, 4.75), being a child with BCG scars (aOR = 1.93; 95% CI = 1.39, 2.68), and being in the older age group (aOR = 1.06; 95% CI = 1.03, 1.09). Having HIV co-infection (aOR = 0.31; 95% CI = 0.16, 0.63), undergoing treatment in public hospitals (aOR = 0.38; 95% CI =0.25, 0.58), having chest X-ray findings of advanced lesion (aOR = 0.48; 95% CI = 0.33, 0.69), having EPTB (aOR = 0.58; 95% CI = 0.41, 0.82) and having sputum-positive PTB (aOR = 0.58; 95% CI = 0.43, 0.79) were negatively associated with TB treatment success among children. Conclusions The overall success rate of treatment among children with TB in Malaysia has achieved the target of 90% since 2014 and remained plateaued until 2017. The socio-demographic characteristics of children, place of treatment, and TB disease profile were associated with the likelihood of TB treatment success among children. The treatment success rate can be increased by strengthening contact tracing activities and promoting early identification targeting the youngest children and non-Malaysian children.
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Affiliation(s)
- S Maria Awaluddin
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia.,Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia
| | - Nurhuda Ismail
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia.
| | - Yuslina Zakaria
- Department of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia
| | - Siti Munira Yasin
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia
| | - Asmah Razali
- Sector of TB/Leprosy, Disease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia
| | - Mohd Hatta Abdul Mutalip
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia
| | - Noor Aliza Lodz
- Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | - Faridah Kusnin
- Selangor Health State Department, Ministry of Health Malaysia, Shah Alam, Malaysia
| | - Tahir Aris
- Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia
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26
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Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli MLC, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, Danaei G, Chirita-Emandi A, Kengne AP, Khang YH, Laxmaiah A, Malekzadeh R, Miranda JJ, Moon JS, Popovic SR, Sørensen TIA, Soric M, Starc G, Zainuddin AA, Gregg EW, Bhutta ZA, Black R, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bæksgaard Jørgensen M, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Basit A, Bastos JLD, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Bennett JE, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhutta ZA, Bi H, Bi Y, Bia D, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Brophy S, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, D'Arrigo G, d'Orsi E, Dacica L, Dal Re Saavedra MÁ, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutiérrez-González E, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hari Kumar R, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Holden Bergh I, Holdsworth M, Homayounfar R, Homs C, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, Klakk H, Klimek M, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Krtalic B, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Landais E, Lanska V, Lappas G, Larijani B, Latt TS, Lauria L, Laxmaiah A, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Liivak M, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Liu L, Lo WC, Loit HM, Long KQ, Lopes L, Lopes O, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lunogelo C, Lustigová M, Luszczki E, Ma G, Ma J, Ma X, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magnacca S, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Mäki P, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques-Vidal P, Marques LP, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Marventano S, Mascarenhas LP, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mavrogianni C, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Menzano MT, Mereke A, Meshram II, Metspalu A, Mi J, Michaelsen KF, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle M, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin SN, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Music Milanovic S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Neal WA, Nejatizadeh A, Nelis K, Nelis L, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen D, Nguyen QN, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Nogueira H, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoglu I, Nurk E, O'Neill TW, O'Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pagkalos I, Pahomova E, Paiva KMD, Pajak A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pednekar MS, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, Pérez-Farinós N, Pérez CM, Peterkova V, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Pettenuzzo E, Peykari N, Pham ST, Pichardo RN, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Posch G, Poudyal A, Poulimeneas D, Pouraram H, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radic I, Radisauskas R, Rahimikazerooni S, Rahman M, Rahman M, Raitakari O, Raj M, Rakhimova E, Rakhmatulloev S, Rakovac I, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rarra V, Rascon-Pacheco RA, Rasmussen M, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribas-Barba L, Ribeiro R, Riboli E, Richter A, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Roccaldo R, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Romeo EL, Rosario RV, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz-Betancourt BS, Ruiz Moreno E, Rusakova IA, Russell Jonsson K, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Sandjaja, Sans S, Santa Marina L, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos Sanz S, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Ševcíková L, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skodje G, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Soric M, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spinelli A, Spiroski I, Staessen JA, Stamm H, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stevanovic R, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suka M, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Syddall HE, Sylva RC, Szklo M, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Tebar WR, Tell GS, Tello T, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thomas N, Thuesen BH, Tichá L, Timmermans EJ, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Torheim LE, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Traissac P, Tran TTH, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Varona-Pérez P, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Weghuber D, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu LJ, Wu S, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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Abstract
BACKGROUND In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. METHODS GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. FINDINGS Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. INTERPRETATION As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. FUNDING Bill & Melinda Gates Foundation.
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Abstract
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.
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Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abegaz KH, Abolhassani H, Aboyans V, Abreu LG, Abrigo MRM, Abualhasan A, Abu-Raddad LJ, Abushouk AI, Adabi M, Adekanmbi V, Adeoye AM, Adetokunboh OO, Adham D, Advani SM, Agarwal G, Aghamir SMK, Agrawal A, Ahmad T, Ahmadi K, Ahmadi M, Ahmadieh H, Ahmed MB, Akalu TY, Akinyemi RO, Akinyemiju T, Akombi B, Akunna CJ, Alahdab F, Al-Aly Z, Alam K, Alam S, Alam T, Alanezi FM, Alanzi TM, Alemu BW, Alhabib KF, Ali M, Ali S, Alicandro G, Alinia C, Alipour V, Alizade H, Aljunid SM, Alla F, Allebeck P, Almasi-Hashiani A, Al-Mekhlafi HM, Alonso J, Altirkawi KA, Amini-Rarani M, Amiri F, Amugsi DA, Ancuceanu R, Anderlini D, Anderson JA, Andrei CL, Andrei T, Angus C, Anjomshoa M, Ansari F, Ansari-Moghaddam A, Antonazzo IC, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ariani F, Armoon B, Ärnlöv J, Arzani A, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Assmus M, Atafar Z, Atnafu DD, Atout MMW, Ausloos F, Ausloos M, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azari S, Azarian G, Azene ZN, Badawi A, Badiye AD, Bahrami MA, Bakhshaei MH, Bakhtiari A, Bakkannavar SM, Baldasseroni A, Ball K, Ballew SH, Balzi D, Banach M, Banerjee SK, Bante AB, Baraki AG, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Barua L, Basu S, Baune BT, Bayati M, Becker JS, Bedi N, Beghi E, Béjot Y, Bell ML, Bennitt FB, Bensenor IM, Berhe K, Berman AE, Bhagavathula AS, Bhageerathy R, Bhala N, Bhandari D, Bhattacharyya K, Bhutta ZA, Bijani A, Bikbov B, Bin Sayeed MS, Biondi A, Birihane BM, Bisignano C, Biswas RK, Bitew H, Bohlouli S, Bohluli M, Boon-Dooley AS, Borges G, Borzì AM, Borzouei S, Bosetti C, Boufous S, Braithwaite D, Breitborde NJK, Breitner S, Brenner H, Briant PS, Briko AN, Briko NI, Britton GB, Bryazka D, Bumgarner BR, Burkart K, Burnett RT, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cahill LE, Cámera LLAA, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Castro F, Causey K, Cederroth CR, Cercy KM, Cerin E, Chandan JS, Chang KL, Charlson FJ, Chattu VK, Chaturvedi S, Cherbuin N, Chimed-Ochir O, Cho DY, Choi JYJ, Christensen H, Chu DT, Chung MT, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Classen TKD, Cohen AJ, Compton K, Cooper OR, Costa VM, Cousin E, Cowden RG, Cross DH, Cruz JA, Dahlawi SMA, Damasceno AAM, Damiani G, Dandona L, Dandona R, Dangel WJ, Danielsson AK, Dargan PI, Darwesh AM, Daryani A, Das JK, Das Gupta R, das Neves J, Dávila-Cervantes CA, Davitoiu DV, De Leo D, Degenhardt L, DeLang M, Dellavalle RP, Demeke FM, Demoz GT, Demsie DG, Denova-Gutiérrez E, Dervenis N, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Dibaji Forooshani ZS, Djalalinia S, Do HT, Dokova K, Dorostkar F, Doshmangir L, Driscoll TR, Duncan BB, Duraes AR, Eagan AW, Edvardsson D, El Nahas N, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, El-Jaafary SI, Elyazar IRF, Emmons-Bell S, Erskine HE, Eskandarieh S, Esmaeilnejad S, Esteghamati A, Estep K, Etemadi A, Etisso AE, Fanzo J, Farahmand M, Fareed M, Faridnia R, Farioli A, Faro A, Faruque M, Farzadfar F, Fattahi N, Fazlzadeh M, Feigin VL, Feldman R, Fereshtehnejad SM, Fernandes E, Ferrara G, Ferrari AJ, Ferreira ML, Filip I, Fischer F, Fisher JL, Flor LS, Foigt NA, Folayan MO, Fomenkov AA, Force LM, Foroutan M, Franklin RC, Freitas M, Fu W, Fukumoto T, Furtado JM, Gad MM, Gakidou E, Gallus S, Garcia-Basteiro AL, Gardner WM, Geberemariyam BS, Gebreslassie AAAA, Geremew A, Gershberg Hayoon A, Gething PW, Ghadimi M, Ghadiri K, Ghaffarifar F, Ghafourifard M, Ghamari F, Ghashghaee A, Ghiasvand H, Ghith N, Gholamian A, Ghosh R, Gill PS, Ginindza TGG, Giussani G, Gnedovskaya EV, Goharinezhad S, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Grivna M, Grosso G, Gubari MIM, Gugnani HC, Guimarães RA, Guled RA, Guo G, Guo Y, Gupta R, Gupta T, Haddock B, Hafezi-Nejad N, Hafiz A, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Halvaei I, Hamadeh RR, Hamidi S, Hammer MS, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hasan MM, Hasanpoor E, Hashi A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hay SI, Hayat K, Heidari G, Heidari-Soureshjani R, Henrikson HJ, Herbert ME, Herteliu C, Heydarpour F, Hird TR, Hoek HW, Holla R, Hoogar P, Hosgood HD, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Hsieh VCR, Hu G, Hu K, Huda TM, Humayun A, Huynh CK, Hwang BF, Iannucci VC, Ibitoye SE, Ikeda N, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Ippolito H, Iqbal U, Irvani SSN, Irvine CMS, Islam MM, Islam SMS, Iso H, Ivers RQ, Iwu CCD, Iwu CJ, Iyamu IO, Jaafari J, Jacobsen KH, Jafari H, Jafarinia M, Jahani MA, Jakovljevic M, Jalilian F, James SL, Janjani H, Javaheri T, Javidnia J, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Johansson L, John O, John-Akinola YO, Johnson CO, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabir Z, Kalani H, Kalani R, Kalankesh LR, Kalhor R, Kanchan T, Kapoor N, Karami Matin B, Karch A, Karim MA, Kassa GM, Katikireddi SV, Kayode GA, Kazemi Karyani A, Keiyoro PN, Keller C, Kemmer L, Kendrick PJ, Khalid N, Khammarnia M, Khan EA, Khan M, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaei S, Kieling C, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Knibbs LD, Knudsen AKS, Kocarnik JM, Kochhar S, Kopec JA, Korshunov VA, Koul PA, Koyanagi A, Kraemer MUG, Krishan K, Krohn KJ, Kromhout H, Kuate Defo B, Kumar GA, Kumar V, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lallukka T, Lami FH, Landires I, Lang JJ, Langan SM, Larsson AO, Lasrado S, Lauriola P, Lazarus JV, Lee PH, Lee SWH, LeGrand KE, Leigh J, Leonardi M, Lescinsky H, Leung J, Levi M, Li S, Lim LL, Linn S, Liu S, Liu S, Liu Y, Lo J, Lopez AD, Lopez JCF, Lopukhov PD, Lorkowski S, Lotufo PA, Lu A, Lugo A, Maddison ER, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Maleki S, Malekzadeh R, Malta DC, Mamun AA, Manda AL, Manguerra H, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantilla Herrera AM, Maravilla JC, Marks A, Martin RV, Martini S, Martins-Melo FR, Masaka A, Masoumi SZ, Mathur MR, Matsushita K, Maulik PK, McAlinden C, McGrath JJ, McKee M, Mehndiratta MM, Mehri F, Mehta KM, Memish ZA, Mendoza W, Menezes RG, Mengesha EW, Mereke A, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mills EJ, Mini GK, Miri M, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Mirzaei R, Mirzaei-Alavijeh M, Misganaw AT, Mithra P, Moazen B, Mohammad DK, Mohammad Y, Mohammad Gholi Mezerji N, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed AS, Mohammed H, Mohammed JA, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mooney MD, Moradi G, Moradi M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morawska L, Morgado-da-Costa J, Morrison SD, Mosapour A, Mosser JF, Mouodi S, Mousavi SM, Mousavi Khaneghah A, Mueller UO, Mukhopadhyay S, Mullany EC, Musa KI, Muthupandian S, Nabhan AF, Naderi M, Nagarajan AJ, Nagel G, Naghavi M, Naghshtabrizi B, Naimzada MD, Najafi F, Nangia V, Nansseu JR, Naserbakht M, Nayak VC, Negoi I, Ngunjiri JW, Nguyen CT, Nguyen HLT, Nguyen M, Nigatu YT, Nikbakhsh R, Nixon MR, Nnaji CA, Nomura S, Norrving B, Noubiap JJ, Nowak C, Nunez-Samudio V, Oţoiu A, Oancea B, Odell CM, Ogbo FA, Oh IH, Okunga EW, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omer MO, Ong KL, Onwujekwe OE, Orpana HM, Ortiz A, Osarenotor O, Osei FB, Ostroff SM, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Palladino R, Panda-Jonas S, Pandey A, Parry CDH, Pasovic M, Pasupula DK, Patel SK, Pathak M, Patten SB, Patton GC, Pazoki Toroudi H, Peden AE, Pennini A, Pepito VCF, Peprah EK, Pereira DM, Pesudovs K, Pham HQ, Phillips MR, Piccinelli C, Pilz TM, Piradov MA, Pirsaheb M, Plass D, Polinder S, Polkinghorne KR, Pond CD, Postma MJ, Pourjafar H, Pourmalek F, Poznańska A, 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Zandian H, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao JT, Zhao XJG, Zhao Y, Zhou M, Ziapour A, Zimsen SRM, Brauer M, Afshin A, Lim SS. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1223-1249. [PMID: 33069327 PMCID: PMC7566194 DOI: 10.1016/s0140-6736(20)30752-2] [Citation(s) in RCA: 3098] [Impact Index Per Article: 774.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/21/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. FINDINGS The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. INTERPRETATION Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. FUNDING Bill & Melinda Gates Foundation.
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Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MRM, Abushouk AI, Adabi M, Adair T, Adebayo OM, Adedeji IA, Adekanmbi V, Adeoye AM, Adetokunboh OO, Advani SM, Afshin A, Aghaali M, Agrawal A, Ahmadi K, Ahmadieh H, Ahmed MB, Al-Aly Z, Alam K, Alam T, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Ali M, Alicandro G, Alijanzadeh M, Alinia C, Alipour V, Alizade H, Aljunid SM, Allebeck P, Almadi MAH, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Amini-Rarani M, Aminorroaya A, Amit AML, Ancuceanu R, Andrei CL, Androudi S, Angus C, Anjomshoa M, Ansari F, Ansari I, Ansari-Moghaddam A, Antonio CAT, Antony CM, Anvari D, Appiah SCY, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Aryal KK, Asadi-Pooya AA, Asgari S, Asghari Jafarabadi M, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azarian G, Babaee E, Badiye AD, Bagli E, Bahrami MA, Bakhtiari A, Balassyano S, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barzegar A, Basu S, Baune BT, Bayati M, Bazmandegan G, Bedi N, Bell ML, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bertolacci GJ, Bhageerathy R, Bhala N, Bhattacharyya K, Bhutta ZA, Bijani A, Biondi A, Bisanzio D, Bisignano C, Biswas RK, Bjørge T, Bohlouli S, Bohluli M, Bolla SRR, Borzì AM, Borzouei S, Brady OJ, Braithwaite D, Brauer M, Briko AN, Briko NI, Bumgarner BR, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cai T, Callender CSKH, Cámera LLAA, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castelpietra G, Castro F, Catalá-López F, Cederroth CR, Cerin E, Chattu VK, Chin KL, Chu DT, Ciobanu LG, Cirillo M, Comfort H, Costa VM, Cowden RG, Cromwell EA, Croneberger AJ, Cunningham M, Dahlawi SMA, Damiani G, D'Amico E, Dandona L, Dandona R, Dargan PI, Darwesh AM, Daryani A, Das Gupta R, das Neves J, Davletov K, De Leo D, Denova-Gutiérrez E, Deribe K, Dervenis N, Desai R, Dhungana GP, Dias da Silva D, Diaz D, Dippenaar IN, Djalalinia S, Do HT, Dokova K, Doku DT, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Dubljanin E, Duraes AR, Edvardsson D, Effiong A, El Sayed I, El Tantawi M, Elbarazi I, El-Jaafary SI, Emamian MH, Eskandarieh S, Esmaeilzadeh F, Estep K, Farahmand M, Faraj A, Fareed M, Faridnia R, Faro A, Farzadfar F, Fattahi N, Fazaeli AA, Fazlzadeh M, Feigin VL, Fereshtehnejad SM, Fernandes E, Ferreira ML, Filip I, Fischer F, Flohr C, Foigt NA, Folayan MO, Fomenkov AA, Freitas M, Fukumoto T, Fuller JE, Furtado JM, Gad MM, Gakidou E, Gallus S, Gebrehiwot AM, Gebremedhin KB, Gething PW, Ghamari F, Ghashghaee A, Gholamian A, Gilani SA, Gitimoghaddam M, Glushkova EV, Gnedovskaya EV, Gopalani SV, Goulart AC, Gugnani HC, Guo Y, Gupta R, Gupta SS, Haagsma JA, Haj-Mirzaian A, Haj-Mirzaian A, Halvaei I, Hamadeh RR, Hamagharib Abdullah K, Han C, Handiso DW, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hassanipour S, Hassankhani H, Hay SI, Heibati B, Heidari-Soureshjani R, Henny K, Henry NJ, Herteliu C, Heydarpour F, Hole MK, Hoogar P, Hosgood HD, Hossain N, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hoy DG, Hu G, Huda TM, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imani-Nasab MH, Islam M, Iso H, Iwu CJ, Jaafari J, Jacobsen KH, Jahagirdar D, Jahanmehr N, Jalali A, Jalilian F, James SL, Janjani H, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir Z, Kalani H, Kalankesh LR, Kamiab Z, Kanchan T, Kapoor N, Karch A, Karimi SE, Karimi SA, Kassebaum NJ, Katikireddi SV, Kawakami N, Kayode GA, Keiyoro PN, Keller C, Khader YS, Khalid N, Khan EA, Khan M, Khang YH, Khater AM, Khater MM, Khazaei S, Khazaie H, Khodayari MT, Khubchandani J, Kianipour N, Kim CI, Kim YE, Kim YJ, Kinfu Y, Kisa A, Kisa S, Kissimova-Skarbek K, Kivimäki M, Komaki H, Kopec JA, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krohn KJ, Kuate Defo B, Kumar GA, Kumar M, Kumar P, Kumar V, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lami FH, Lansky S, Larson SL, Larsson AO, Lasrado S, Lassi ZS, Lazarus JV, Lee PH, Lee SWH, Leever AT, LeGrand KE, Leonardi M, Li S, Lim LL, Lim SS, Linn S, Lodha R, Logroscino G, Lopez AD, Lopukhov PD, Lotufo PA, Lozano R, Lu A, Lunevicius R, Madadin M, Maddison ER, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahasha PW, Mahdavi MM, Malekzadeh R, Mamun AA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mapoma CC, Martini S, Martins-Melo FR, Masaka A, Mastrogiacomo CI, Mathur MR, May EA, McAlinden C, McGrath JJ, McKee M, Mehndiratta MM, Mehri F, Mehta KM, Meitei WB, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mihretie KM, Miller TR, Mills EJ, Milne GJ, Mirrakhimov EM, Mirzaei H, Mirzaei M, Mirzaei-Alavijeh M, Misganaw AT, Moazen B, Moghadaszadeh M, Mohamadi E, Mohammad DK, Mohammad Y, Mohammad Gholi Mezerji N, Mohammadbeigi A, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed H, Mohammed S, Mohebi F, Mohseni Bandpei MA, Mokari A, Mokdad AH, Momen NC, Monasta L, Mooney MD, Moradi G, Moradi M, Moradi-Joo M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Moreno Velásquez I, Morgado-da-Costa J, Morrison SD, Mosser JF, Mouodi S, Mousavi SM, Mousavi Khaneghah A, Mueller UO, Musa KI, Muthupandian S, Nabavizadeh B, Naderi M, Nagarajan AJ, Naghavi M, Naghshtabrizi B, Naik G, Najafi F, Nangia V, Nansseu JR, Ndwandwe DE, Negoi I, Negoi RI, Ngunjiri JW, Nguyen HLT, Nguyen TH, Nigatu YT, Nikbakhsh R, Nikpoor AR, Nixon MR, Nnaji CA, Nomura S, Noubiap JJ, Nouraei Motlagh S, Nowak C, Oţoiu A, Odell CM, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Ong KL, Onwujekwe OE, Ortiz A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Park J, Pasupula DK, Patel JR, Patel SK, Patton GC, Paulson KR, Pazoki Toroudi H, Pease SA, Peden AE, Pepito VCF, Peprah EK, Pereira A, Pereira DM, Perico N, Pigott DM, Pilgrim T, Pilz TM, Piradov MA, Pirsaheb M, Pokhrel KN, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poznańska A, Prada SI, Prakash S, Preotescu L, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Rafiei A, Raggi A, Rahman MA, Rajabpour-Sanati A, Ram P, Ranabhat CL, Rao SJ, Rasella D, Rashedi V, Rastogi P, Rathi P, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Resnikoff S, Rezaei N, Rezai MS, Rezapour A, Rickard J, Roever L, Ronfani L, Roshandel G, Rostamian M, Rubagotti E, Rwegerera GM, Sabour S, Saddik B, Sadeghi E, Sadeghi M, Saeedi Moghaddam S, Safari Y, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salahshoor MR, Salama JS, Salamati P, Salem MRR, Salimi Y, Salomon JA, Salz I, Samad Z, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sartorius B, Sarveazad A, Sathian B, Sathish T, Sattin D, Saylan M, Schaeffer LE, Schiavolin S, Schwebel DC, Schwendicke F, Sekerija M, Senbeta AM, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Shabani M, Shahabi S, Shahbaz M, Shaheen AA, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Shannawaz M, Sharafi K, Sharafi Z, Sharara F, Sharma R, Shaw DH, Sheikh A, Shin JI, Shiri R, Shrime MG, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Simonetti B, Simpson KE, Singh JA, Skiadaresi E, Skryabin VY, Soheili A, Sokhan A, Sorensen RJD, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stockfelt L, Stokes MA, Stubbs JL, Sudaryanto A, Sufiyan MB, Suliankatchi Abdulkader R, Sykes BL, Tabarés-Seisdedos R, Tabb KM, Tadakamadla SK, Taherkhani A, Tang M, Taveira N, Taylor HJ, Teagle WL, Tehrani-Banihashemi A, Teklehaimanot BF, Tessema ZT, Thankappan KR, Thomas N, Thrift AG, Titova MV, Tohidinik HR, Tonelli M, Topor-Madry R, Topouzis F, Tovani-Palone MRR, Traini E, Tran BX, Travillian R, Trias-Llimós S, Truelsen TC, Tudor Car L, Unnikrishnan B, Upadhyay E, Vacante M, Vakilian A, Valdez PR, Valli A, Vardavas C, Vasankari TJ, Vasconcelos AMN, Vasseghian Y, Veisani Y, Venketasubramanian N, Vidale S, Violante FS, Vlassov V, Vollset SE, Vos T, Vujcic IS, Vukovic A, Vukovic R, Waheed Y, Wallin MT, Walters MK, Wang H, Wang YP, Watson S, Wei J, Weiss J, Weldesamuel GT, Werdecker A, Westerman R, Whiteford HA, Wiangkham T, Wiens KE, Wijeratne T, Wiysonge CS, Wojtyniak B, Wolfe CDA, Wondmieneh AB, Wool EE, Wu AM, Wu J, Xu G, Yamada T, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yearwood JA, Yeheyis TY, Yilgwan CS, Yip P, Yonemoto N, Yoon SJ, Yoosefi Lebni J, York HW, Younis MZ, Younker TP, Yousefi Z, Yousefinezhadi T, Yousuf AY, Yusefzadeh H, Zahirian Moghadam T, Zakzuk J, Zaman SB, Zamani M, Zamanian M, Zandian H, Zhang ZJ, Zheng P, Zhou M, Ziapour A, Murray CJL. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1160-1203. [PMID: 33069325 PMCID: PMC7566045 DOI: 10.1016/s0140-6736(20)30977-6] [Citation(s) in RCA: 701] [Impact Index Per Article: 175.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 03/10/2020] [Accepted: 04/20/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. METHODS 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. FINDINGS The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66-2·79) in 2000 to 2·31 (2·17-2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5-137·8) in 2000 to a peak of 139·6 million (133·0-146·9) in 2016. Global livebirths then declined to 135·3 million (127·2-144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4-27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8-67·6) in 2000 to 73·5 years (72·8-74·3) in 2019. The total number of deaths increased from 50·7 million (49·5-51·9) in 2000 to 56·5 million (53·7-59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1-10·3) in 2000 to 5·0 million (4·3-6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0-6·3) in 2000 to 7·7 billion (7·5-8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1-60·8) in 2000 to 63·5 years (60·8-66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. INTERPRETATION Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. FUNDING Bill & Melinda Gates Foundation.
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James SL, Lucchesi LR, Bisignano C, Castle CD, Dingels ZV, Fox JT, Hamilton EB, Liu Z, McCracken D, Nixon MR, Sylte DO, Roberts NLS, Adebayo OM, Aghamolaei T, Alghnam SA, Aljunid SM, Almasi-Hashiani A, Badawi A, Behzadifar M, Behzadifar M, Bekru ET, Bennett DA, Chapman JR, Deribe K, Duko Adema B, Fatahi Y, Gelaw BK, Getahun EA, Hendrie D, Henok A, Hidru HD, Hosseinzadeh M, Hu G, Jahani MA, Jakovljevic M, Jalilian F, Joseph N, Karami M, Kelbore AG, Khan MN, Kim YJ, Koul PA, La Vecchia C, Linn S, Majdzadeh R, Mehndiratta MM, Memiah PTN, Mengesha MM, Merie HE, R Miller T, Mirzaei-Alavijeh M, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadibakhsh R, Moodley Y, Moradi-Lakeh M, Musa KI, Nascimento BR, Nikbakhsh R, Nyasulu PS, Omar Bali A, Onwujekwe OE, Pati S, Pourmirza Kalhori R, Salehi F, Shahabi S, Shallo SA, Shamsizadeh M, Sharafi Z, Shukla SR, Sobhiyeh MR, Soriano JB, Sykes BL, Tabarés-Seisdedos R, Tadesse DBB, Tefera YM, Tehrani-Banihashemi A, Tlou B, Topor-Madry R, Wiangkham T, Yaseri M, Yaya S, Yenesew MA, Younis MZ, Ziapour A, Zodpey S, Pigott DM, Reiner RC, Hay SI, Lopez AD, Mokdad AH. Morbidity and mortality from road injuries: results from the Global Burden of Disease Study 2017. Inj Prev 2020; 26:i46-i56. [PMID: 31915274 PMCID: PMC7571357 DOI: 10.1136/injuryprev-2019-043302] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 07/29/2019] [Accepted: 07/30/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND The global burden of road injuries is known to follow complex geographical, temporal and demographic patterns. While health loss from road injuries is a major topic of global importance, there has been no recent comprehensive assessment that includes estimates for every age group, sex and country over recent years. METHODS We used results from the Global Burden of Disease (GBD) 2017 study to report incidence, prevalence, years lived with disability, deaths, years of life lost and disability-adjusted life years for all locations in the GBD 2017 hierarchy from 1990 to 2017 for road injuries. Second, we measured mortality-to-incidence ratios by location. Third, we assessed the distribution of the natures of injury (eg, traumatic brain injury) that result from each road injury. RESULTS Globally, 1 243 068 (95% uncertainty interval 1 191 889 to 1 276 940) people died from road injuries in 2017 out of 54 192 330 (47 381 583 to 61 645 891) new cases of road injuries. Age-standardised incidence rates of road injuries increased between 1990 and 2017, while mortality rates decreased. Regionally, age-standardised mortality rates decreased in all but two regions, South Asia and Southern Latin America, where rates did not change significantly. Nine of 21 GBD regions experienced significant increases in age-standardised incidence rates, while 10 experienced significant decreases and two experienced no significant change. CONCLUSIONS While road injury mortality has improved in recent decades, there are worsening rates of incidence and significant geographical heterogeneity. These findings indicate that more research is needed to better understand how road injuries can be prevented.
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Affiliation(s)
- Spencer L James
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Lydia R Lucchesi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Chris D Castle
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Zachary V Dingels
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Jack T Fox
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Erin B Hamilton
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Zichen Liu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Darrah McCracken
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Molly R Nixon
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Dillon O Sylte
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Nicholas L S Roberts
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | | | - Teamur Aghamolaei
- Department of Health Education and Health Promotion, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Suliman A Alghnam
- Department of Population Health Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Syed Mohamed Aljunid
- Department of Health Policy and Management, Kuwait University, Safat, Kuwait
- International Centre for Casemix and Clinical Coding, National University of Malaysia, Bandar Tun Razak, Malaysia
| | | | - Alaa Badawi
- Public Health Risk Sciences Division, Public Health Agency of Canada, Toronto, Ontario, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Masoud Behzadifar
- Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Meysam Behzadifar
- Hepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Eyasu Tamru Bekru
- College of Health Science and Medicine, Wolaita Sodo University, Sodo, Ethiopia
| | - Derrick A Bennett
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jens Robert Chapman
- Swedish Neuroscience Institute, Swedish Brain and Spine Specialists, Seattle, Washington, USA
| | - Kebede Deribe
- Department of Global Health and Infection, Brighton and Sussex Medical School, Brighton, UK
- School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Yousef Fatahi
- Department of Pharmaceutical Nanotechnology, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Delia Hendrie
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Andualem Henok
- Department of Public Health, Mizan-Tepi University, Teppi, Ethiopia
| | - Hagos de Hidru
- Department of Biostatistics and Epidemiology, Adigrat University, Adigrat, Ethiopia
| | - Mehdi Hosseinzadeh
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Computer Science Department, University of Human Development, Sulaimaniyah, Iraq
| | - Guoqing Hu
- Department of Epidemiology and Health Statistics, Central South University, Changsha, China
| | | | - Mihajlo Jakovljevic
- N.A.Semashko Department of Public Health and Healthcare, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Farzad Jalilian
- Social Development & Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Nitin Joseph
- Department of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, India
| | - Manoochehr Karami
- Department of Epidemiology, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Md Nuruzzaman Khan
- Department of Population Sciences, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh
- Department of Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Yun Jin Kim
- School of Medicine, Xiamen University Malaysia, Sepang, Malaysia
| | - Parvaiz A Koul
- Department of Internal and Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, India
| | - Carlo La Vecchia
- Department of Clinical Medicine and Community Health, University of Milan, Milano, Italy
| | - Shai Linn
- School of Public Health, University of Haifa, Haifa, Israel
| | - Reza Majdzadeh
- Community-Based Participatory-Research (CBPR) Center, Tehran University of Medical Sciences, Tehran, Iran
- Knowledge Utilization Research Center (KURC), Tehran University of Medical Sciences, Tehran, Iran
| | - Man Mohan Mehndiratta
- Neurology Department, Janakpuri Super Specialty Hospital Society, New Delhi, India
- Department of Neurology, New Delhi, India
| | - Peter T N Memiah
- Department of Public Health, University of West Florida, Pensacola, Florida, USA
| | | | | | - Ted R Miller
- School of Public Health, Curtin University, Perth, Western Australia, Australia
- Pacific Institute for Research and Evaluation, Calverton, Maryland, United States
| | - Mehdi Mirzaei-Alavijeh
- Social Development & Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Aso Mohammad Darwesh
- Information Technology Department, University of Human Development, Sulaimaniyah, Iraq
| | | | | | - Yoshan Moodley
- Department of Public Health Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Kamarul Imran Musa
- School of Medical Sciences, Science University of Malaysia, Kubang Kerian, Malaysia
| | - Bruno Ramos Nascimento
- Hospital of the Federal University of Minas Gerais, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Rajan Nikbakhsh
- Obesity Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Peter S Nyasulu
- Faculty of Medicine & Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Ahmed Omar Bali
- Department of Diplomacy and Public Relations, University of Human Development, Sulaimaniyah, Iraq
| | - Obinna E Onwujekwe
- Department of Pharmacology and Therapeutics, University of Nigeria Nsukka, Enugu, Nigeria
| | - Sanghamitra Pati
- Regional Medical Research Centre, Indian Council of Medical Research, Bhubaneswar, India
| | | | - Farkhonde Salehi
- Taleghani Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Saeed Shahabi
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Morteza Shamsizadeh
- Chronic Diseases (Home Care) Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Zeinab Sharafi
- Razi Herbal Medicines Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Sharvari Rahul Shukla
- Symbiosis Institute of Health Sciences, Symbiosis International University, Pune, India
| | - Mohammad Reza Sobhiyeh
- Departments of Vascular & Endovascular Surgery, General Surgery, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Peripheral Vascular Intervention Department, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Joan B Soriano
- Hospital Universitario de la Princesa, Autonomous University of Madrid, Madrid, Spain
- Respiratory Diseases Networking Biomedical Research Centre (CIBERES), Institute of Health Carlos III, Madrid, Spain
| | - Bryan L Sykes
- Department of Criminology, Law and Society, University of California Irvine, Irvine, California, USA
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, University of Valencia, Valencia, Spain
- Carlos III Health Institute, Biomedical Research Networking Center for Mental Health Network (CiberSAM), Madrid, Spain
| | - Degena Bahray Bahrey Tadesse
- Nursing Department, Institute of Tropical Medicine, Aksum, Ethiopia
- Axum College of Health Science, Mekelle, Ethiopia
| | - Yonatal Mesfin Tefera
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
- Department of Environmental Health, Wollo University, Dessie, Ethiopia
| | - Arash Tehrani-Banihashemi
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Community Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Boikhutso Tlou
- Department of Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Roman Topor-Madry
- Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
- The Agency for Health Technology Assessment and Tariff System, Warsaw, Poland
| | - Taweewat Wiangkham
- Department of Physical Therapy, Faculty of Allied Health Sciences, Naresuan University, Meung District, Thailand
| | - Mehdi Yaseri
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
- Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sanni Yaya
- School of International Development and Global Studies, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Mustafa Z Younis
- Health Economics & Finance, Jackson State University, Jackson, Mississippi, USA
- Research Center for Public Health, Tsinghua University, Peking, China
| | - Arash Ziapour
- Health Promotion Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Sanjay Zodpey
- Indian Institute of Public Health, Public Health Foundation of India, Gurugram, India
| | - David M Pigott
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Alan D Lopez
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
- School of Population and Global Health, University of Melbourne, Melbourne, Queensland, Australia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
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Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. Lancet Glob Health 2020; 8:e1162-e1185. [PMID: 32827479 PMCID: PMC7443708 DOI: 10.1016/s2214-109x(20)30278-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 05/01/2020] [Accepted: 06/04/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. METHODS We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. FINDINGS Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4-40·7) to 50·3% (50·0-50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1-46·5) in 2017, compared with 28·7% (28·5-29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2-89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664-711) of the 1830 (1797-1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6-80·7) of countries from 2000 to 2017, and in 53·9% (50·6-59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. INTERPRETATION Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. FUNDING Bill & Melinda Gates Foundation.
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GBD Chronic Respiratory Disease Collaborators. Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Respir Med 2020; 8:585-96. [PMID: 32526187 DOI: 10.1016/S2213-2600(20)30105-3] [Citation(s) in RCA: 841] [Impact Index Per Article: 210.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. METHODS Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. FINDINGS In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9-584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8-7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578-4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. INTERPRETATION Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. FUNDING Bill & Melinda Gates Foundation.
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Abstract
BACKGROUND Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage of ORS, RHF, and ORT (use of either ORS or RHF) in LMICs. METHODS We used a Bayesian geostatistical model including 15 spatial covariates and data from 385 household surveys across 94 LMICs to estimate annual proportions of children younger than 5 years of age with diarrhoea who received ORS or RHF (or both) on continuous continent-wide surfaces in 2000-17, and aggregated results to policy-relevant administrative units. Additionally, we analysed geographical inequality in coverage across administrative units and estimated the number of diarrhoeal deaths averted by increased coverage over the study period. Uncertainty in the mean coverage estimates was calculated by taking 250 draws from the posterior joint distribution of the model and creating uncertainty intervals (UIs) with the 2·5th and 97·5th percentiles of those 250 draws. FINDINGS While ORS use among children with diarrhoea increased in some countries from 2000 to 2017, coverage remained below 50% in the majority (62·6%; 12 417 of 19 823) of second administrative-level units and an estimated 6 519 000 children (95% UI 5 254 000-7 733 000) with diarrhoea were not treated with any form of ORT in 2017. Increases in ORS use corresponded with declines in RHF in many locations, resulting in relatively constant overall ORT coverage from 2000 to 2017. Although ORS was uniformly distributed subnationally in some countries, within-country geographical inequalities persisted in others; 11 countries had at least a 50% difference in one of their units compared with the country mean. Increases in ORS use over time were correlated with declines in RHF use and in diarrhoeal mortality in many locations, and an estimated 52 230 diarrhoeal deaths (36 910-68 860) were averted by scaling up of ORS coverage between 2000 and 2017. Finally, we identified key subnational areas in Colombia, Nigeria, and Sudan as examples of where diarrhoeal mortality remains higher than average, while ORS coverage remains lower than average. INTERPRETATION To our knowledge, this study is the first to produce and map subnational estimates of ORS, RHF, and ORT coverage and attributable child diarrhoeal deaths across LMICs from 2000 to 2017, allowing for tracking progress over time. Our novel results, combined with detailed subnational estimates of diarrhoeal morbidity and mortality, can support subnational needs assessments aimed at furthering policy makers' understanding of within-country disparities. Over 50 years after the discovery that led to this simple, cheap, and life-saving therapy, large gains in reducing mortality could still be made by reducing geographical inequalities in ORS coverage. FUNDING Bill & Melinda Gates Foundation.
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LBD Double Burden of Malnutrition Collaborators. Author Correction: Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017. Nat Med 2020; 26:1308. [PMID: 32616917 DOI: 10.1038/s41591-020-0972-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Reiner RC, Wiens KE, Deshpande A, Baumann MM, Lindstedt PA, Blacker BF, Troeger CE, Earl L, Munro SB, Abate D, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe G, Abegaz KH, Abreu LG, Abrigo MRM, Accrombessi MMK, Acharya D, Adabi M, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Afarideh M, Ahmadi K, Ahmadi M, Ahmed AE, Ahmed MB, Ahmed R, Ajumobi O, Akal CG, Akalu TY, Akanda AS, Alamene GM, Alanzi TM, Albright JR, Alcalde Rabanal JE, Alemnew BT, Alemu ZA, Ali BA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Amini S, Amit AML, Andrei CL, Anegago MT, Anjomshoa M, Ansari F, Antonio CAT, Antriyandarti E, Appiah SCY, Arabloo J, Aremu O, Armoon B, Aryal KK, Arzani A, Asadi-Lari M, Ashagre AF, Atalay HT, Atique S, Atre SR, Ausloos M, Avila-Burgos L, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Ayele AA, Aynalem YAA, Azari S, Babaee E, Badawi A, Bakkannavar SM, Balakrishnan S, Bali AG, Banach M, Barac A, Bärnighausen TW, Basaleem H, Bassat Q, Bayati M, Bedi N, Behzadifar M, Behzadifar M, Bekele YA, Bell ML, Bennett DA, Berbada DA, Beyranvand T, Bhat AG, Bhattacharyya K, Bhattarai S, Bhaumik S, Bijani A, Bikbov B, Biswas RK, Bogale KA, Bohlouli S, Brady OJ, Bragazzi NL, Briko NI, Briko AN, Burugina Nagaraja S, Butt ZA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carvalho F, Castro F, Chansa C, Chatterjee P, Chattu VK, Chauhan BG, Chin KL, Christopher DJ, Chu DT, Claro RM, Cormier NM, Costa VM, Damiani G, Daoud F, Dandona L, Dandona R, Darwish AH, Daryani A, Das JK, Das Gupta R, Dasa TT, Davila CA, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demis AB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dessie GA, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Ding EL, Diro HD, Djalalinia S, Do HP, Doku DT, Dolecek C, Dubey M, Dubljanin E, Duko Adema B, Dunachie SJ, Durães AR, Duraisamy S, Effiong A, Eftekhari A, El Sayed I, El Sayed Zaki M, El Tantawi M, Elemineh DA, El-Jaafary SI, Elkout H, Elsharkawy A, Enany S, Endalamfaw A, Endalew DA, Eskandarieh S, Esteghamati A, Etemadi A, Farag TH, Faraon EJA, Fareed M, Faridnia R, Farioli A, Faro A, Farzam H, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Foroutan M, Francis JM, Franklin RC, Frostad JJ, Fukumoto T, Gayesa RT, Gebremariam KT, Gebremedhin KBB, Gebremeskel GG, Gedefaw GA, Geramo YCD, Geta B, Gezae KE, Ghashghaee A, Ghassemi F, Gill PS, Ginawi IA, Goli S, Gomes NGM, Gopalani SV, Goulart BNG, Grada A, Gugnani HC, Guido D, Guimares RA, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassankhani H, Hassen HY, Hayelom DH, Heidari B, Henry NJ, Herteliu C, Heydarpour F, Hidru HDD, Hoang CL, Hoogar P, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Ibitoye SE, Ilesanmi OS, Ilic MD, Inbaraj LR, Irvani SSN, Islam SMS, Iwu CJ, Jaca A, Jafari Balalami N, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, Johnson KB, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kahsay A, Kalani H, Kanchan T, Karami Matin B, Karch A, Karki S, Kasaeian A, Kasahun GG, Kayode GA, Kazemi Karyani A, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalil AT, Khalil I, Khalilov R, Khan MN, Khan EA, Khan G, Khan J, Khatab K, Khater A, Khater MM, Khatony A, Khayamzadeh M, Khazaei M, Khazaei S, Khodamoradi E, Khosravi MH, Khubchandani J, Kiadaliri AA, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kissoon N, Kondlahalli SKMKMM, Kosek MN, Koyanagi A, Kraemer MUG, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar P, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lami FH, Lansingh VC, Lasrado S, Lee PH, Leili M, Lenjebo TTLL, Levine AJ, Lewycka S, Li S, Linn S, Lodha R, Longbottom J, Lopukhov PD, Magdeldin S, Mahasha PW, Mahotra NB, Malta DC, Mamun AA, Manafi N, Manafi F, Manda AL, Mansournia MA, Mapoma CC, Marami D, Marczak LB, Martins-Melo FR, März W, Masaka A, Mathur MR, Maulik PK, Mayala BK, McAlinden C, Mehndiratta MM, Mehrotra R, Mehta KM, Meles GG, Melese A, Memish ZA, Mena AT, Menezes RG, Mengesha MM, Mengistu DT, Mengistu G, Meretoja TJ, Miazgowski B, Mihretie KMM, Miller-Petrie MK, Mills EJ, Mir SM, Mirabi P, Mirrakhimov EM, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad DK, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadifard N, Mohammed AS, Mohammed S, Mohammed JA, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moraga P, Mosapour A, Mouodi S, Mousavi SM, Mozaffor MMM, Muluneh AG, Muriithi MK, Murray CJL, Murthy GVS, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Najafi F, Nangia V, Nazari J, Ndwandwe DE, Negoi I, Ngunjiri JW, Nguyen QP, Nguyen TH, Nguyen CT, Nigatu D, Ningrum DNA, Nnaji CA, Nojomi M, Noubiap JJ, Oh IH, Okpala O, Olagunju AT, Omar Bali A, Onwujekwe OE, Ortega-Altamirano DDV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pana A, Pashaei T, Pati S, Patle A, Patton GC, Paulos K, Pepito VCF, Pereira A, Perico N, Pesudovs K, Pigott DM, Piroozi B, Platts-Mills JA, Poljak M, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poustchi H, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rajati F, Ramezanzadeh K, Rana SM, Ranabhat CL, Rasella D, Rawaf S, Rawaf DL, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Reta MA, Rezaei S, Ribeiro AI, Rickard J, Rios González CM, Rios-Blancas MJ, Roever L, Ronfani L, Roro EM, Rostami A, Rothenbacher D, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Safari S, Safdarian M, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Salehi F, Salehi Zahabi S, Salem MRR, Salem H, Salimi Y, Salimzadeh H, Sambala EZ, Samy AM, Sanabria J, Santos IS, Saraswathy SYI, Sarker AR, Sartorius B, Sathian B, Satpathy M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Shabaninejad H, Shaheen AA, Shaikh MA, Shalash AS, Shallo SA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharif M, Shey MS, Shibuya K, Shiferaw WSS, Shigematsu M, Shil A, Shin JI, Shiri R, Shirkoohi R, Si S, Siabani S, Singh JA, Singh NP, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Sobhiyeh MR, Sokhan A, Soofi M, Soriano JB, Sorrie MB, Soyiri IN, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tamirat KS, Tassew AA, Taveira N, Taye B, Tehrani-Banihashemi A, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, Thirunavukkarasu S, Thomas N, Tlaye KG, Tlou B, Tovani-Palone MR, Traini E, Tran KB, Trihandini I, Ullah I, Unnikrishnan B, Valadan Tahbaz S, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, Vos T, Wada FW, Waheed Y, Wang Y, Wang YP, Weldesamuel GT, Welgan CA, Westerman R, Wiangkham T, Wijeratne T, Wiysonge CSS, Wolde HF, Wondafrash DZ, Wonde TE, Wu AM, Xu G, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yenesew MA, Yeshaneh A, Yilma MT, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zamani M, Zambrana-Torrelio C, Zandian H, Zeleke AJ, Zepro NB, Zewale TA, Zhang D, Zhang Y, Zhao XJ, Ziapour A, Zodpey S, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:1779-1801. [PMID: 32513411 PMCID: PMC7314599 DOI: 10.1016/s0140-6736(20)30114-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/24/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. METHODS We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. FINDINGS The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. INTERPRETATION By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. FUNDING Bill & Melinda Gates Foundation.
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LBD Double Burden of Malnutrition Collaborators. Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017. Nat Med 2020; 26:750-9. [PMID: 32313249 DOI: 10.1038/s41591-020-0807-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. Fine-scale geospatial mapping of overweight and wasting (two components of the double burden of malnutrition) in 105 LMICs shows that overweight has increased from 5.2% in 2000 to 6.0% in children under 5 in 2017. Although overall wasting decreased over the same period, most countries are not on track to meet the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025.
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Arumugam P, Tengku Ismail TA, Daud A, Musa KI, A Hamid NA, Ismail SB, Mohd Said Z. Treatment-Seeking Behavior Among Male Civil Servants in Northeastern Malaysia: A Mixed-Methods Study. Int J Environ Res Public Health 2020; 17:E2713. [PMID: 32326447 DOI: 10.3390/ijerph17082713] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/09/2020] [Accepted: 04/13/2020] [Indexed: 02/05/2023]
Abstract
Background: Men's health in Malaysia is slowly gaining more attention, but minimal research has examined how Malaysian men behave and seek treatment. While few studies have investigated men's treatment-seeking behavior (TSB), those that have been conducted seem to be inconclusive and tend to yield contradictory findings. Objectives: This paper aims to determine the proportion of inappropriate TSB and to explore in-depth treatment-seeking behavior among male civil servants in northeastern Malaysia. Methods: This paper adopted a mixed-methods approach, specifically a concurrent parallel study design. A quantitative study using a self-administered questionnaire was performed to identify the proportion of appropriate and inappropriate TSB among male civil servants in northeastern Malaysia. Concurrently, a qualitative study was conducted involving six focus group discussion sessions, and the results of both parts were integrated to provide a detailed explanation of TSB among the participants. Results: A total of 381 participants were involved in the quantitative study, yielding a response rate of 94.8%; 246 (64.6%) engaged in inappropriate TSB. Some of the reported morbidities among the participants were hypertension (26.5%) and diabetes mellitus (26.2%). From the qualitative study, a main theme related to TSB emerged with several sub-themes, which were health literacy, stage of seeking treatment, preference for alternative treatment, perceived threat of illness, self-treatment, and the influence of family members and others. Conclusions: TSB among male civil servants in northeastern Malaysia is poor, and the factors contributing to it are multidimensional. This study has provided new valuable evidence on men's TSB in northeastern Malaysia. The findings can be used to facilitate and improve current policies and the implementation of men's health services throughout the country.
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Abdullah JM, Wan Ismail WFN, Mohamad I, Ab Razak A, Harun A, Musa KI, Lee YY. A Critical Appraisal of COVID-19 in Malaysia and Beyond. Malays J Med Sci 2020; 27:1-9. [PMID: 32308536 PMCID: PMC7153689 DOI: 10.21315/mjms2020.27.2.1] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 04/04/2020] [Indexed: 02/08/2023] Open
Abstract
When the first report of COVID-19 appeared in December 2019 from Wuhan, China, the world unknowingly perceived this as another flu-like illness. Many were surprised at the extreme steps that China had subsequently taken to seal Wuhan from the rest of the world. However, by February 2020, the SARS-CoV-2 virus, which causes COVID-19, had spread so quickly across the globe that the World Health Organization officially declared COVID-19 a pandemic. COVID-19 is not the first pandemic the world has seen, so what makes it so unique in Malaysia, is discussed to avoid a future coronacoma.
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Affiliation(s)
- Jafri Malin Abdullah
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Brain Behaviour Cluster and Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Wan Faisham Nu'man Wan Ismail
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Orthopaedics, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Irfan Mohamad
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Otorhinolaryngology-Head & Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Asrenee Ab Razak
- Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Azian Harun
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Medical Microbiology & Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Kamarul Imran Musa
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Yeong Yeh Lee
- Editorial Board Member, Malaysian Journal of Medical Sciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.,Department of Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
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Ahmad MH, Ibrahim MI, Ab Rahman A, Musa KI, Mohd Zain F, Mohd Zain R, Hasan R, Hassan N, Ahmad I, Idris NS. Tobacco Denormalization Indicator in the Prevalence of Positive Smoker Identity and Its Associated Factors. Int J Environ Res Public Health 2020; 17:E2363. [PMID: 32244417 PMCID: PMC7178188 DOI: 10.3390/ijerph17072363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/28/2020] [Accepted: 03/30/2020] [Indexed: 02/05/2023]
Abstract
Positive smoker identity (PSI) is a construct that evaluates the degree of smokers' positive thoughts, images and feeling about smoking behavior and culture. PSI encompasses the indicators related to tobacco denormalization strategy, which is one of the four WHO tobacco endgame strategies. PSmoQi is a newly validated instrument which could reliably assess PSI. This study's objectives were to determine the prevalence of positive smoker identity and its associated factors using PSmoQi. A sample of 253 smokers from government agencies in Kota Bharu City, Malaysia were recruited using invitation letters sent to their head of agencies. Data collection was done in a briefing session voluntary attended by the smokers. Factors associated with PSI were analyzed using Multiple Logistic Regression. The prevalence of smokers with positive smoker identity was 72.3%. Factors associated with positive smoker identity were older age (Adjusted Odds ratio; AOR: 1.042; 95% confident interval; CI: 1.004, 1.081); p = 0.028), higher smoking self-concept scale Malay version (SSCS-M) score (AOR: 1.216; 95% CI: 1.112, 1.329; p < 0.001), higher heaviness index (AOR: 1.002; 95% CI: 1.001, 1.004; p = 0.011) and lower educational attainment (AOR: 0.458; 95% CI: 0.233, 0.900; p = 0.024). This study shows a high prevalence of PSI among smokers from government agencies in Kota Bharu City. Factors such as age, SSCS-M score, heaviness index and educational attainment influenced the level of positive smoker identity in a smoker. The finding would contribute an evidentiary guideline in screening smokers for smoking cessation clinic enrollment to achieve the best interventional outcome, as well as it would provide an objective indicator for tobacco denormalization status in a population.
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Affiliation(s)
- Mohd Hanief Ahmad
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (M.H.A.); (A.A.R.); (K.I.M.)
| | - Mohd Ismail Ibrahim
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (M.H.A.); (A.A.R.); (K.I.M.)
| | - Azriani Ab Rahman
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (M.H.A.); (A.A.R.); (K.I.M.)
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (M.H.A.); (A.A.R.); (K.I.M.)
| | - Faridah Mohd Zain
- Department of Fa and ly Medicine, Hospital Universiti Sains Malaysia, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (F.M.Z.); (I.A.); (N.S.I.)
| | - Rehanah Mohd Zain
- School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia;
| | - Ruhaya Hasan
- School of Dental Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia;
| | - Noraryana Hassan
- FCTC and Tobacco Control Unit, Disease Control Division (NCD), Ministry of Health Malaysia, 62590 Putrajaya, Malaysia;
| | - Imran Ahmad
- Department of Fa and ly Medicine, Hospital Universiti Sains Malaysia, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (F.M.Z.); (I.A.); (N.S.I.)
| | - Nur Suhaila Idris
- Department of Fa and ly Medicine, Hospital Universiti Sains Malaysia, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150 Kelantan, Malaysia; (F.M.Z.); (I.A.); (N.S.I.)
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42
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Chen XW, Nazri Shafei M, Abdul Aziz Z, Nazifah Sidek N, Imran Musa K. Modelling the prognostic effect of glucose and lipid profiles on stroke recurrence in Malaysia: an event-history analysis. PeerJ 2020; 8:e8378. [PMID: 32095319 PMCID: PMC7025698 DOI: 10.7717/peerj.8378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 12/09/2019] [Indexed: 02/05/2023] Open
Abstract
Background Diabetes and dyslipidemia are significantly associated with stroke recurrence, yet the evidence for this relationship is conflicting. Consequently, the parameters in the glucose and lipid profiles may inform us regarding their relationship with stroke recurrence, thus enhancing the physicians' clinical decision-making. Aim This study sought to investigate whether glucose and lipid profiles could prognosticate stroke recurrence in Malaysia. Methods We conducted a retrospective hospital-based study where we analyzed the first-ever stroke cases regarding about which the Malaysia National Stroke Registry was informed between 2009 and 2017, that fulfilled this study's criteria, and that were followed for stroke recurrence. Using the Cox proportional hazard regression analysis, we estimated the adjusted hazard ratios (HRs), which reflected the prognostic effect of the primary variables (i.e., glucose and lipid profiles on the first-stroke admission) on stroke recurrence. Results Among the 8,576 first-ever stroke patients, 394 (4.6%) experienced a subsequent first stroke recurrence event. The prognostic effect measured by univariable Cox regression showed that, when unadjusted, ten variables have prognostic value with regards to stroke recurrence. A multivariable regression analysis revealed that glucose was not a significant prognostic factor (adjusted HR 1.28; 95% CI [1.00-1.65]), while triglyceride level was the only parameter in the lipid profile found to have an independent prognostication concerning stroke recurrence (adjusted HR: 1.28 to 1.36). Conclusions Triglyceride could independently prognosticate stroke recurrence, which suggests the role of physicians in intervening hypertriglyceridemia. In line with previous recommendations, we call for further investigations in first-ever stroke patients with impaired glucose and lipid profiles and suggest a need for interventions in these patients.
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Affiliation(s)
- Xin Wee Chen
- Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
| | - Mohd Nazri Shafei
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Zariah Abdul Aziz
- General Medicine Department, Hospital Sultanah Nur Zahirah, Terengganu, Malaysia
| | | | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
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Sani MM, Ashari NSM, Abdullah B, Wong KK, Musa KI, Mohamud R, Tan HTT. Reduced CD4+ terminally differentiated effector memory T cells in moderate-severe house dust mites sensitized allergic rhinitis patients. Asian Pac J Allergy Immunol 2020; 37:138-146. [PMID: 29981564 DOI: 10.12932/ap-191217-0220] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Terminally differentiated effector memory (TEMRA) T cells exert potent effector function after activation. The proportions of CD4+ T cell subsets especially memory cells in allergic rhinitis (AR) patients sensitized to house dust mites (HDMs) have not been extensively studied. OBJECTIVE This study aimed to compare the mean percentages and absolute counts of CD4+ memory T cell subsets between: (i) non-allergic controls and AR patients; (ii) mild AR patients and moderate-severe AR patients. METHODS Sensitization to Dermatophagoides farinae and Dermatophagoides pteronyssinus were determined in 33 non -allergic controls, 28 mild AR and 29 moderate-severe AR patients. Flow cytometry was used to determine the percentage of CD4+ na?ve (TN; CD45RA+CCR7+), central memory (TCM; CD45RA-CCR7+), effector memory (TEM; CD45RA-CCR7-) and TEMRA (CD45RA+CCR7-) T cells from the peripheral blood. The absolute counts of CD4+ T cell subsets were obtained by dual platform method from flow cytometer and hematology analyzer. RESULTS There were no significant differences in the mean percentages and absolute counts of CD4+ T cell subsets between non-allergic controls and AR patients sensitized to HDMs. However, there were significant reduction in the mean percentage (p=0.0307) and absolute count (p=0.0309) of CD4+ TEMRA cells in moderate-severe AR patients compared to mild AR patients sensitized to HDMs and 13/24 (54.2%) moderate-severe AR patients sensitized to HDMs had persistent symptoms. CONCLUSION Reduction in the mean percentage and absolute count of CD4+CD45RA+CCR7- TEMRA cells were observed in moderate-severe AR patients compared to mild AR patients in our population of AR patients sensitized to HDMs.
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Affiliation(s)
- Mastura Md Sani
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Noor Suryani Mohd Ashari
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Baharudin Abdullah
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Kah Keng Wong
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Rohimah Mohamud
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Hern-Tze Tina Tan
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
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44
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Sukeri S, Daud A, Musa KI, Idris N. A 10-Year Journey of the USM Master and Doctoral Degrees in Public Health. Malays J Med Sci 2020; 26:1-4. [PMID: 31908582 PMCID: PMC6939735 DOI: 10.21315/mjms2019.26.6.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 11/21/2019] [Indexed: 02/08/2023] Open
Abstract
The article introduces readers to the Master of Public Health and Doctor of Public Health programmes, offered by the Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia. The programme vision, structure and accomplishments over the decade are presented to provide an understanding of the programme. It is hoped that this professional programme will continue to flourish and produce new generations of public health medicine specialist equipped with the necessary knowledge and skills to make significant contribution towards improving the health of the population.
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Affiliation(s)
- Surianti Sukeri
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Aziah Daud
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Norazlin Idris
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
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45
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You X, Liew BS, Rosman AK, Dcsn, Musa KI, Idris Z. The estimated cost of surgically managed isolated traumatic head injury secondary to road traffic accidents. Neurosurg Focus 2019; 44:E7. [PMID: 29712526 DOI: 10.3171/2018.1.focus17796] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Traumatic brain injury due to road traffic accidents occurs mainly in the younger age group in which injury-related disability leads to long-term impact on employment and economic and social consequences across the lifespan. This study was designed to assign a monetary cost (in Malaysian ringgits [RM]) to the treatment of patients with surgically treated isolated traumatic head injury as determined up to 1 year after injury. METHODS Relevant resource items used were identified and valued using the direct measurement of costs method, cost accounting methods, standard unit costs method, fees, charges and/or market prices method. These values were then tabulated to generate the total costs for each patient, via a combination of macro-costing and micro-costing methods. Malaysian currency values were converted to US dollars according to the average conversion rate for the period from January to May 2016: RM1 = US$0.2452. RESULTS This costing study analyzed data from 49 patients. The estimated cost for the 1st year of care for all patients was RM1,471,919.80 (US$360,914.735), with a mean (± SD) cost per case of RM30,039.18 ± 22,986.25 or $7365.61 ± $5636.23. The mean cost of care per case was RM11,041.35 ± 10,936.88 or $2707.34 ± $2681.72 for mild head injury, RM32,550.00 ± 20,998.76 or $7981.26 ± $5148.90 for moderate head injury, and RM36,917.86 ± 23,697.34 or $9052.26 ± $5810.59 for severe head injury. Severe head injury (p = 0.001), sustaining 2 or more intracranial pathologies (p = 0.01), having a poor Glasgow Outcome Scale (GOS) score (GOS score 1-3) (p = 0.02), requiring a tracheostomy (p < 0.001), and contracting pneumonia (p < 0.001) were significantly associated with higher cost. Logistic regression analysis revealed that cost of care increased by RM591.60 or $145.06 per year increment of age (β = RM591.60, p = 0.05). CONCLUSIONS The mean cost of treatment for traumatic head injury is high compared to the per capita income of RM37,900 in 2016. The cost values generated in this study provide baseline cost estimates that the authors hope will be used as a guide to determine where adequate funding should be allocated to provide timely and appropriate delivery of care.
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Affiliation(s)
- Xinli You
- Departments of 1 Neurosciences and.,Department of Neurosurgery, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia
| | - Boon S Liew
- Department of Neurosurgery, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia
| | | | - Dcsn
- Department of Neurosurgery, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia
| | | | - Zamzuri Idris
- Departments of 1 Neurosciences and.,Center for Neuroscience Service and Research, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan; and
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46
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Hamzah FH, Mohd Hairon S, Yaacob NM, Musa KI. Effect of MyMAFI-A Newly Developed Mobile App for Field Investigation of Food Poisoning Outbreak on the Timeliness in Reporting: A Randomized Crossover Trial. Int J Environ Res Public Health 2019; 16:E2453. [PMID: 31295907 DOI: 10.3390/ijerph16142453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 02/05/2023]
Abstract
Prompt investigation of food poisoning outbreak are essential, as it usually involves a short incubation period. Utilizing the advancement in mobile technology, a mobile application named MyMAFI (My Mobile Apps for Field Investigation) was developed with the aim to be an alternative and better tool for current practices of field investigation of food poisoning outbreak. A randomized cross-over trial with two arms and two treatment periods was conducted to assess the effectiveness of the newly developed mobile application as compared to the standard paper-based format approach. Thirty-six public health inspectors from all districts in Kelantan participated in this study and they were randomized into two equal sized groups. Group A started the trial as control group using the paper-format investigation form via simulated outbreaks and group B used the mobile application. After a one-month ‘washout period’, the group was crossed over. The primary outcome measured was the time taken to complete the outbreak investigation. The treatment effects, the period effects and the period-by-treatment interaction were analyzed using Pkcross command in Stata software. There was a significant treatment effect with mean square 21840.5 and its corresponding F statistic 4.47 (p-value = 0.038), which indicated that the mobile application had significantly improve the reporting timeliness. The results also showed that there was a significant period effect (p-value = 0.025); however, the treatment by period interaction was not significant (p-value = 0.830). The newly developed mobile application—MyMAFI—can improve the timeliness in reporting for investigation of food poisoning outbreak.
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48
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Ankathil R, Mustapha MA, Abdul Aziz AA, Mohd Shahpudin SN, Zakaria AD, Abu Hassan MR, Musa KI. Contribution of Genetic Polymorphisms of Inflammation Response Genes on Sporadic Colorectal Cancer Predisposition Risk in Malaysian Patients - A Case Control Study. Asian Pac J Cancer Prev 2019; 20:1621-1632. [PMID: 31244280 PMCID: PMC7021613 DOI: 10.31557/apjcp.2019.20.6.1621] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Indexed: 02/05/2023] Open
Abstract
AIM: To investigate the frequencies and association of polymorphic genotypes of IL-8 -251 T>A, TNF-α -308 G>A, ICAM-1 K469E, ICAM-1 R241G, IL-6 -174 G>C, and PPAR-γ 34 C>G in modulating susceptibility risk in Malaysian colorectal cancer (CRC) patients. Methods: In this case-control study, peripheral blood samples of 560 study subjects (280 CRC patients and 280 controls) were collected, DNA extracted and genotyped using PCR-RFLP and Allele Specific PCR. The association between polymorphic genotype and CRC susceptibility risk was determined using Logistic Regression analysis deriving Odds ratio (OR) and 95% CI. Results: On comparing the frequencies of genotypes of all single nucleotide polymorphisms ( SNPs ) in patients and controls, the homozygous variant genotypes IL-8 -251 AA and TNF-α -308 AA and variant A alleles were significantly higher in CRC patients. Investigation on the association of the variant alleles and genotypes singly, with susceptibility risk showed the homozygous variant A alleles and genotypes IL-8 -251 AA and TNF-α -308 AA to be at higher risk for CRC predisposition. Analysis based on age, gender and smoking habits showed that the polymorphisms IL8 -251 T>A and TNF – α 308 G>A contribute to a significantly higher risk among male and female who are more than 50 years and for smokers in this population. Conclusion: We observed an association between variant allele and genotypes of IL-8-251 T>A and TNF-α-308 G>A polymorphisms and CRC susceptibility risk in Malaysian patients. These two SNPs in inflammatory response genes which undoubtedly contribute to individual risks to CRC susceptibility may be considered as potential genetic predisposition factors for CRC in Malaysian population.
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Affiliation(s)
- Ravindran Ankathil
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, Malaysia.
| | - Mohd Aminudin Mustapha
- Center of Pre University Study, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia
| | - Ahmad Aizat Abdul Aziz
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, Malaysia.
| | - Siti Nurfatimah Mohd Shahpudin
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, Malaysia.
| | - Andee Dzulkarnaen Zakaria
- Department of Surgery, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, Malaysia
| | | | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, Malaysia
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49
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Feigin VL, Nichols E, Alam T, Bannick MS, Beghi E, Blake N, Culpepper WJ, Dorsey ER, Elbaz A, Ellenbogen RG, Fisher JL, Fitzmaurice C, Giussani G, Glennie L, James SL, Johnson CO, Kassebaum NJ, Logroscino G, Marin B, Mountjoy-Venning WC, Nguyen M, Ofori-Asenso R, Patel AP, Piccininni M, Roth GA, Steiner TJ, Stovner LJ, Szoeke CEI, Theadom A, Vollset SE, Wallin MT, Wright C, Zunt JR, Abbasi N, Abd-Allah F, Abdelalim A, Abdollahpour I, Aboyans V, Abraha HN, Acharya D, Adamu AA, Adebayo OM, Adeoye AM, Adsuar JC, Afarideh M, Agrawal S, Ahmadi A, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemi RO, Akseer N, Al-Eyadhy A, Al-Shahi Salman R, Alahdab F, Alene KA, Aljunid SM, Altirkawi K, Alvis-Guzman N, Anber NH, Antonio CAT, Arabloo J, Aremu O, Ärnlöv J, Asayesh H, Asghar RJ, Atalay HT, Awasthi A, Ayala Quintanilla BP, Ayuk TB, Badawi A, Banach M, Banoub JAM, Barboza MA, Barker-Collo SL, Bärnighausen TW, Baune BT, Bedi N, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Bennett DA, Bensenor IM, Berhane A, Beuran M, Bhattacharyya K, Bhutta ZA, Biadgo B, Bijani A, Bililign N, Bin Sayeed MS, Blazes CK, Brayne C, Butt ZA, Campos-Nonato IR, Cantu-Brito C, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chang JC, Chatziralli I, Chiang PPC, Christensen H, Christopher DJ, Cooper C, Cortesi PA, Costa VM, Criqui MH, Crowe CS, Damasceno AAM, Daryani A, De la Cruz-Góngora V, De la Hoz FP, De Leo D, Demoz GT, Deribe K, Dharmaratne SD, Diaz D, Dinberu MT, Djalalinia S, Doku DT, Dubey M, Dubljanin E, Duken EE, Edvardsson D, El-Khatib Z, Endres M, Endries AY, Eskandarieh S, Esteghamati A, Esteghamati S, Farhadi F, Faro A, Farzadfar F, Farzaei MH, Fatima B, Fereshtehnejad SM, Fernandes E, Feyissa GT, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe FG, Garcia-Gordillo MA, Gebre AK, Gebremichael TG, Gelaw BK, Geleijnse JM, Geremew D, Gezae KE, Ghasemi-Kasman M, Gidey MY, Gill PS, Gill TK, Girma ET, Gnedovskaya EV, Goulart AC, Grada A, Grosso G, Guo Y, Gupta R, Gupta R, Haagsma JA, Hagos TB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Hankey GJ, Hao Y, Haro JM, Hassankhani H, Hassen HY, Havmoeller R, Hay SI, Hegazy MI, Heidari B, Henok A, Heydarpour F, Hoang CL, Hole MK, Homaie Rad E, Hosseini SM, Hu G, Igumbor EU, Ilesanmi OS, Irvani SSN, Islam SMS, Jakovljevic M, Javanbakht M, Jha RP, Jobanputra YB, Jonas JB, Jozwiak JJ, Jürisson M, Kahsay A, Kalani R, Kalkonde Y, Kamil TA, Kanchan T, Karami M, Karch A, Karimi N, Kasaeian A, Kassa TD, Kassa ZY, Kaul A, Kefale AT, Keiyoro PN, Khader YS, Khafaie MA, Khalil IA, Khan EA, Khang YH, Khazaie H, Kiadaliri AA, Kiirithio DN, Kim AS, Kim D, Kim YE, Kim YJ, Kisa A, Kokubo Y, Koyanagi A, Krishnamurthi RV, Kuate Defo B, Kucuk Bicer B, Kumar M, Lacey B, Lafranconi A, Lansingh VC, Latifi A, Leshargie CT, Li S, Liao Y, Linn S, Lo WD, Lopez JCF, Lorkowski S, Lotufo PA, Lucas RM, Lunevicius R, Mackay MT, Mahotra NB, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Manafi N, Mansournia MA, Mantovani LG, März W, Mashamba-Thompson TP, Massenburg BB, Mate KKV, McAlinden C, McGrath JJ, Mehta V, Meier T, Meles HG, Melese A, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohajer B, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadi-Khanaposhtani M, Mohammadibakhsh R, Mohammadnia-Afrouzi M, Mohammed S, Mohebi F, Mokdad AH, Monasta L, Mondello S, Moodley Y, Moosazadeh M, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Moreno Velásquez I, Morrison SD, Mousavi SM, Muhammed OS, Muruet W, Musa KI, Mustafa G, Naderi M, Nagel G, Naheed A, Naik G, Najafi F, Nangia V, Negoi I, Negoi RI, Newton CRJ, Ngunjiri JW, Nguyen CT, Nguyen LH, Ningrum DNA, Nirayo YL, Nixon MR, Norrving B, Noubiap JJ, Nourollahpour Shiadeh M, Nyasulu PS, Ogah OS, Oh IH, Olagunju AT, Olagunju TO, Olivares PR, Onwujekwe OE, Oren E, 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Zodpey S, Naghavi M, Murray CJL, Vos T. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:459-480. [PMID: 30879893 PMCID: PMC6459001 DOI: 10.1016/s1474-4422(18)30499-x] [Citation(s) in RCA: 1987] [Impact Index Per Article: 397.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/31/2018] [Accepted: 12/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. METHODS We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. FINDINGS Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable). INTERPRETATION Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies. FUNDING Bill & Melinda Gates Foundation.
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Chen XW, Shafei MN, Aziz ZA, Sidek NN, Musa KI. Trends in stroke outcomes at hospital discharge in first-ever stroke patients: Observations from the Malaysia National Stroke Registry (2009-2017). J Neurol Sci 2019; 401:130-135. [PMID: 31000206 DOI: 10.1016/j.jns.2019.04.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 03/19/2019] [Accepted: 04/09/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND Stroke outcomes could be a quality indicator across the continuum of care and inform stroke management policymaking. However, this topic has rarely to date been studied directly. AIMS We sought to investigate recent trends in stroke outcomes at hospital discharge among first-ever stroke patients. METHODS This was an analysis of data from the Malaysia National Stroke Registry. Patients aged 18 years or older documented as having a first episode of stroke in the registry were recruited. Subsequently, the comparison of proportions for overall and sex-specific stroke outcomes between years (from 2009 to 2017) was conducted. The primary outcome was modified Rankin Scale score, which was assessed at hospital discharge, and each patient was categorized as follows: 1) functional independence, 2) functional dependence, or 3) death for analysis. RESULTS This study included 9361 first-ever stroke patients. Approximately 36.2% (3369) were discharged in an independence state, 53.1% (4945) experienced functional dependence, and 10.8% (1006) patients died at the time of hospital discharge. The percentage of patients who were discharged independently increased from 23.3% in 2009 to 46.5% in 2017, while that of patients discharged in a disabled state fell from 56.0% in 2009 to 45.6% in 2017. The percentage of death at discharge was reduced from 20.7% in 2009 to 7.8% in 2017. These findings suggest that the proportions of stroke outcomes at hospital discharge have changed significantly over time (p < 0.001), and there was a significant sex-related difference in stroke outcomes at hospital discharge following first stroke episode (p < 0.001). CONCLUSIONS Our data indicate there has been a significant change in stroke outcomes over the past nine years in Malaysia. This information ought to be considered in ongoing efforts of tertiary stroke prevention.
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Affiliation(s)
- Xin Wee Chen
- Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, Sungai Buloh 47000, Selangor, Malaysia; Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Mohd Nazri Shafei
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Zariah Abdul Aziz
- Neurology Unit, General Medicine Department, Hospital Sultanah Nur Zahirah, Jalan Sultan Mahmud, 20400 Terengganu, Malaysia
| | - Norsima Nazifah Sidek
- Clinical Research Centre, Hospital Sultanah Nur Zahirah, Jalan Sultan Mahmud, 20400 Terengganu, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.
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