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Wu S, Wu J, Yu H, Zhang J, Huang J, Zhou L, Deng L, Li H. Varying ratios of M/G in alginate to modulate macrophages polarization and its application for wound healing in diabetic. Int J Biol Macromol 2024; 270:132387. [PMID: 38759850 DOI: 10.1016/j.ijbiomac.2024.132387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/01/2024] [Accepted: 05/13/2024] [Indexed: 05/19/2024]
Abstract
Alginate (SA) comprises repeating unis of β-1, 4 linked β-D-mannuronic acid (M) and α-L-guloronic acid (G) in varying proportions. The M/G ratio greatly impacts its anti-inflammatory properties in tissue healing wound, as less knowledge reported. This study examined the performances of both SA and SA hydrogel crosslinked with copper ions (SA-Cu) with different M/G ratios are studied. SA with higher M/G ratios stimulated macrophage migration and shifted from M0 to the pro-inflammatory Ml phenotype, while lower M/G ratios shifted from M1 to the pro-repair M2 phenotype. Furthermore, SA-Cu hydrogels with lower M/G ratios exhibited enhanced cross-linking degree, mechanical and rheological properties, as well Cu releasing rate. The reason may be attributed to a relative easy binding between Cu ions and G unit among Cu ions, M unit and G unit. In vitro cell evaluation showed that SA-Cu hydrogel with M/G ratio of 1:1 activated M2 macrophages and up-regulated anti-inflammatory cytokines expression more effectively than those of SA-Cu ratios (2:1) and (1:2). In vivo, SA-Cu hydrogel with M/G ratio of 1:1 expedited diabetic wound healing, accelerating infiltration and phenotype shift of M2 macrophages, and enhancing anti-inflammatory factors, epithelialization and collagen deposition in healing phases. This research highlights the significant role of M/G ratios in SA materials in influencing macrophage behavior and inflammatory responses, which would benefit its application field.
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Affiliation(s)
- Shuai Wu
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou 510630, China; Department of Materials Science and Engineering, Jinan University, Guangzhou 510632, China; Engineering Research Center of Artificial Organs and Materials, Ministry of Education, Guangzhou 510632, China
| | - Jiacheng Wu
- Department of Materials Science and Engineering, Jinan University, Guangzhou 510632, China; Engineering Research Center of Artificial Organs and Materials, Ministry of Education, Guangzhou 510632, China
| | - Hai Yu
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou 510630, China
| | - Jinrong Zhang
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou 510630, China
| | - Jianan Huang
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou 510630, China
| | - Lin Zhou
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Liehua Deng
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou 510630, China; Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China.
| | - Hong Li
- Department of Materials Science and Engineering, Jinan University, Guangzhou 510632, China; Engineering Research Center of Artificial Organs and Materials, Ministry of Education, Guangzhou 510632, China.
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Liu J, Shen M, Zhuang G, Zhang L. Investigating the temporal trends of diabetes disease burden in China during 1990-2019 from a global perspective. Front Endocrinol (Lausanne) 2024; 15:1324318. [PMID: 38800477 PMCID: PMC11116686 DOI: 10.3389/fendo.2024.1324318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Introduction Diabetes poses a global public health challenge and our understanding of its temporal evolution in China relative to the rest of the world is limited. Our study aims to comprehensively examine the temporal trend of diabetes DALYs in China from a global perspective. Methods We analyzed data on diabetes incidence, prevalence, and mortality for individuals aged ≥20 years in China and globally from the Global Burden of Disease (GBD) 2019 study. We assessed trends in age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of diabetes in China and globally by estimating annual percentage changes (EAPCs). We employed decomposition analysis to reveal factors driving the trend of diabetes DALYs in China. Results During 1990-2019, the number of diabetes patients increased by 160% from 35.14 million to 91.70 million in China. The ASIR of diabetes increased from 249 per 100,000 to 329 per 100,000 in China, which was lower than the global rate (419 per 100,000 in 2019). The EAPC of diabetes incidence was also lower in China compared to the global rate (1.02% vs. 1.57%). Consistently, the age-standardized prevalence rate of diabetes increased from 4788 per 100,000 to 8170 per 100,000 during 1990-2019 in China, which remained lower than the corresponding global rate (8827 per 100,000 in 2019). Further, the ASMR of diabetes increased from 9 per 100,000 to 15 per 100,000 during 1990-2019 in China, which was lower than the corresponding global rate (30 per 100,000 in 2019). However, EAPC of diabetes mortality in China was much higher than the global level (1.75% vs. 1.07%). Globally, the rising diabetes DALYs was predominantly attributed to population growth (55.2%) and epidemiologic changes (24.6%). In comparison, population growth (48.9%) also played an important role in the increasing diabetes DALYs in China, but aging (43.7%) was second major contributor. Conclusion Our findings show that diabetes DALYs in China followed a global increasing trend during 1990-2019. Notably, aging has a very substantial contribution to the increase in diabetes DALYs in China in addition to population growth. .
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Affiliation(s)
- Jinli Liu
- Department of Endocrinology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi, China
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi’an, China
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Guihua Zhuang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Lei Zhang
- Department of Endocrinology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi, China
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
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Liang XY, Mu LY, Hu L, She RL, Ma CY, Feng JH, Jiang ZY, Li ZX, Qu XQ, Peng BQ, Wu KN, Kong LQ. Optimal Glycated Hemoglobin Cutoff for Diagnosis of Diabetes and Prediabetes in Chinese Breast Cancer Women. Int J Gen Med 2024; 17:1807-1822. [PMID: 38720819 PMCID: PMC11077296 DOI: 10.2147/ijgm.s457158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
Purpose Glycated hemoglobin (HbA1c) is widely used in diabetes management and now recommended for diagnosis and risk assessment. Our research focused on investigating the optimal cutoff points of HbA1c for diagnosis of diabetes and prediabetes in Chinese breast cancer women, aiming to enhance early detection and tailor treatment strategies. Patients and Methods This study involved 309 breast cancer women without diabetes history in China. Patients were categorized into groups of newly diagnosed diabetes, prediabetes, and normal glucose tolerance using oral glucose tolerance test (OGTT) according to the 2010 ADA criteria. HbA1c data were collected from all patients. Receiver operating characteristic (ROC) curve analysis was used to assess the effectiveness of the HbA1c screening. Results Among the 309 breast cancer women without diabetes history, 96 (31.0%) were identified with diabetes and 130 (42.1%) had prediabetes according to OGTT, and the incidence of normal glucose tolerance was only 26.9% (83). ROC curve analysis, using OGTT as a reference, revealed that the area under the curve of 0.903 (P<0.001, 95% CI, 0.867-0.938) for HbA1c alone, indicating high accuracy. The optimal HbA1c cutoff for identifying diabetes was determined to be 6.0%, with a sensitivity of 78.1% and specificity of 86.4%. For prediabetes, the ROC curve for HbA1c alone showed that the area under the ROC curve of 0.703 (P<0.001, 95% CI, 0.632-0.774), with an optimal cutoff of 5.5% (sensitivity of 76.9% and specificity of 51.8%). Conclusion The prevalence of undiagnosed diabetes is very high in breast cancer women without diabetes history in China. The optimal cutoff points of HbA1c for identifying diabetes and prediabetes are 6.0% and 5.5% in Chinese breast cancer women, respectively.
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Affiliation(s)
- Xin-Yu Liang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Li-yuan Mu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Lei Hu
- Information Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Rui-ling She
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Chen-yu Ma
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Jun-han Feng
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Zhi-yu Jiang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Zhao-xing Li
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Xiu-quan Qu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Bai-qing Peng
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Kai-nan Wu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Ling-quan Kong
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
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Zhu Y, Zhang H, Xi Y, Zhu H, Lu Y, Luo X, Tang Z, Lei H. The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review. Diabetes Ther 2024; 15:917-927. [PMID: 38472627 PMCID: PMC11043239 DOI: 10.1007/s13300-024-01558-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Diabetes mellitus (DM) is regarded as one of the most critical public health challenges of the 21st century. It has evolved into a burgeoning epidemic since the last century, and today ranks among the major causes of mortality worldwide. Diabetes specialist nurses (DSNs) are central to good patient care and outcomes including confident self-care management. Evidence shows that DSNs are cost-effective, improve clinical outcomes, and reduce length of stay in hospital. In this brief narrative review, we aim to describe the roles of DSNs and their contribution in the treatment and management of patients with DM. This narrative review describes the importance of DSNs in healthcare practice, in the inpatient and outpatient departments, in the pediatrics department, in managing diabetic foot ulcers, in the treatment and management of gestational diabetes, in prescribing medications for DM and in diabetes self-management education on glycosylated hemoglobin, and cardiovascular risk factors. To conclude, DSNs have a crucial role in the treatment and management of patients with DM and its complications. DSNs have a great impact on diabetes therapy, and hence implementation of DSNs and nurse-led diabetic clinics might be beneficial for the health care system. Finally, having DSNs might significantly contribute to good healthcare practice and support. Even though DSNs are not available in several regions around the globe, and even though this post is still new to several health care institutions, the presence of DSNs recognized and certified by the various healthcare systems would be very useful.
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Affiliation(s)
- Yefang Zhu
- Department of Rehabilitation Medicine, Huzhou Shushan Geriatric Hospital First Ward, Huzhou, 313000, Zhejiang, People's Republic of China
| | - Hongmei Zhang
- Department of Endocrinology, Ezhou Central Hospital, Hubei, 436000, Ezhou, People's Republic of China
| | - Ying Xi
- The Outpatient Department, The First People's Hospital of Longquanyi District, Chengdu, West China Longquan Hospital, Sichuan University, Sichuan, 610100, People's Republic of China
| | - Hongli Zhu
- Department of Health Management, The First People's Hospital of Longquanyi District, Chengdu, West China Longquan Hospital, Sichuan University, Sichuan, 610100, People's Republic of China
| | - Yan Lu
- The Outpatient Department, The First People's Hospital of Longquanyi District, Chengdu, West China Longquan Hospital, Sichuan University, Sichuan, 610100, People's Republic of China
| | - Xue Luo
- Department of Neurosurgery, The First People's Hospital of Longquanyi District, Chengdu, West China Longquan Hospital, Sichuan University, Sichuan, 610100, People's Republic of China
| | - Zhangui Tang
- Department of Cardiology, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hong Lei
- Department of Health Management, The First People's Hospital of Longquanyi District, Chengdu, West China Longquan Hospital, Sichuan University, Sichuan, 610100, People's Republic of China.
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Zhu L, Pan Z, Shen F, Shen Y, Zhang W. Effects of family support system on the self-management behaviour of patients with T2DM: a multi-centre cross-sectional study in community settings. Fam Pract 2024; 41:114-122. [PMID: 38412362 DOI: 10.1093/fampra/cmae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The burden of type 2 diabetes mellitus (T2DM) in China continues to escalate. OBJECTIVE To investigate the impact of family support system on the self-management behaviour of patients with T2DM. METHODS In this cross-sectional study, 1,042 participants were sampled using a multistage stratified probability-proportionate-to-size method. On-site interviews were conducted using a structured questionnaire administered by 122 family doctors from 13 community health service centres in 8 administrative districts. A structural equation model was established to investigate the impact of individual factors and family support system on the self-management behaviour of T2DM patients. Statistical analysis was performed using the SPSS 25.0 software. RESULTS The self-management behaviour pass rate among individuals with T2DM was 40.9%. In terms of individual factors, those with a high school education level or above demonstrated higher self-management behaviour scores than those with a junior high school education level or lower. The structural equation model revealed a path of interactions among individual factors, family support system-related factors, and the self-management behaviour of patients with T2DM: Family function → Family support → Patients' self-management behaviour → Quality of life. The coefficient of the direct path from family function to family support was 0.74 (P < 0.001), while the coefficient of the direct path from family support to self-management behaviour was 0.68 (P = 0.001). CONCLUSION There is significant room for improvement in the self-management behaviour of T2DM patients in China. Family function can enhance the self-management behaviour of T2DM patients by promoting family support.
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Affiliation(s)
- Lan Zhu
- Department of General Practice, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
- Xietu Street Community Health Service Center, Xuhui District, Shanghai, China
| | - Zhigang Pan
- Department of General Practice, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Fulai Shen
- Research Center of Strengthening Foundation of Health, Institute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Shen
- New Exploration Project Team, Diabetes Management Community, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Wei Zhang
- School of Public Health, Fudan University, Shanghai, China
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Xu Z, Feng J, Xing S, Liu Y, Chen Y, Li J, Feng Y. Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis. Front Endocrinol (Lausanne) 2024; 15:1370489. [PMID: 38681766 PMCID: PMC11045957 DOI: 10.3389/fendo.2024.1370489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 03/27/2024] [Indexed: 05/01/2024] Open
Abstract
Objective Diabetes mellitus is the leading cause of death worldwide, and multiple risk factors associated with diabetes mortality. Methods Employing spatial statistics, we characterized the spatial distribution and patterns of diabetes mortality, and revealed the spatial relationship between diabetes mortality and 11 socioeconomic and environmental risk factors at the country level, from 1990 to 2019. Results Globally, significantly high rates of diabetes mortality were primarily clustered in countries with limited land areas or located on islands, such as Fiji, Kiribati, Eswatini, and Trinidad and Tobago. Countries with weaker economic independence are more likely to have higher diabetes mortality rates. In addition, the impact of socioeconomic and environmental factors was significant at the country level, involving health expenditure, number of physicians, household and ambient air pollution, smoking, and alcohol consumption. Notably, the spatial relationship between diabetes mortality and ambient air pollution, as well as alcohol consumption, showed negative correlations. Countries with high diabetes mortality rates generally had lower levels of ambient air pollution and alcohol consumption. Conclusion The study highlights the spatial clustering of diabetes mortality and its substantial variation. While many risk factors can influence diabetes mortality, it's also essential to consider the level of these factors at the country level. Tailoring appropriate interventions based on specific national circumstances holds the potential to more effectively mitigate the burden of diabetes mortality.
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Affiliation(s)
- Zejia Xu
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, China
| | - Jianheng Feng
- Faculty of Innovation and Design, City University of Macau, Macao, Macao SAR, China
| | - Siyi Xing
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, China
| | - Yin Liu
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, China
| | - Yuting Chen
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, China
| | - Jie Li
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, China
- Key Laboratory of Philosophy and Social Sciences in Guangdong Province of Maritime Silk Road of Guangzhou University (GD22TWCXGC15), Guangzhou, China
| | - Yunhui Feng
- Center for Interdisciplinary Health Management Studies, School of Physical Education & Sports Science, Guangzhou University, Guangzhou, China
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Ramírez Gallegos I, Marina Arroyo M, López-González ÁA, Vicente-Herrero MT, Vallejos D, Sastre-Alzamora T, Ramírez-Manent JI. The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers. Nutrients 2024; 16:1082. [PMID: 38613115 PMCID: PMC11013770 DOI: 10.3390/nu16071082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Cardiovascular and metabolic diseases include a large group of pathologies and constitute one of the most serious chronic health problems facing the 21st century, with high rates of morbidity and mortality worldwide. Unhealthy diets influence the development of these pathologies. The Mediterranean diet can be an important part in the treatment of these diseases. The objective of this study was to assess the effect of a program that aims to increase adherence to the Mediterranean diet on the improvement of different cardiometabolic risk parameters. METHODS A prospective intervention study was carried out on 7034 Spanish workers. Prior to the intervention, 22 cardiometabolic risk scales were evaluated. Participants in this study were informed both orally and in writing of the characteristics and benefits of the Mediterranean diet and were given the website of the Ministry of Health, Consumption and Social Welfare of Spain, which provides advice on nutrition. Adherence to the Mediterranean diet was reinforced by sending a monthly SMS to their mobile phones. After six months of follow-up, the 22 risk scales were re-evaluated to assess changes. Means and standard deviations were calculated using Student's t test to analyse quantitative variables. Prevalence was calculated using the Chi-square test when the variables were qualitative. RESULTS All the cardiometabolic risk scales studied decreased after implementing a program to improve and enhance adherence to the Mediterranean diet. The number of losses in the sample was very low, standing at 4.31%. CONCLUSIONS The Mediterranean diet is effective in reducing all cardiovascular risk scales evaluated. The mean values and prevalence of high values of the different cardiometabolic risk scales analysed led to lower values after the implementation of the program to increase adherence to the Mediterranean diet. We observed a significant positive difference in metabolic age in both sexes. We have obtained a significant improvement in the insulin resistance index, especially in the SPISE-IR index, data that we have not found in previous publications. Easy access to the Internet and new information and communication technologies facilitate adherence to a diet and can reduce the number of losses.
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Affiliation(s)
- Ignacio Ramírez Gallegos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Marta Marina Arroyo
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Ángel Arturo López-González
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Faculty of Dentistry, University School ADEMA, 07010 Palma, Balearic Islands, Spain
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
| | - Maria Teófila Vicente-Herrero
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Daniela Vallejos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Tomás Sastre-Alzamora
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - José Ignacio Ramírez-Manent
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
- Faculty of Medicine, University of the Balearic Islands, 07010 Palma, Balearic Islands, Spain
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Yan X, Han F, Wang H, Li Z, Kawachi I, Li X. Years of life lost due to insufficient sleep and associated economic burden in China from 2010-18. J Glob Health 2024; 14:04076. [PMID: 38574358 PMCID: PMC10994670 DOI: 10.7189/jogh.14.04076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
Background Research on the health and economic costs due to insufficient sleep remains scant in developing countries. In this study we aimed to estimate the years of life lost (YLLs) due to short sleep and quantify its economic burden in China. Methods We estimated both individual and aggregate YLLs due to short sleep (ie, ≤6 hours) among Chinese adults aged 20 years or older by sex and five-year age groups in 2010, 2014, and 2018. YLL estimates were derived from 1) the prevalence of short sleep using three survey waves of the China Family Panel Studies, 2) relative mortality risks from meta-analyses, and 3) life tables in China. YLL was the difference between the estimated life expectancy of an individual in the short sleep category vs in the recommended sleep category. We estimated the economic cost using the human capital approach. Results The sample sizes of the three survey waves were 31 393, 31 207, and 28 618. Younger age groups and men had more YLLs due to short sleep compared to their counterparts. For individuals aged 20-24, men had an average YLL of nearly 0.95, in contrast to the approximate 0.75 in women across the observed years of 2010, 2014, and 2018. The trend in individual YLLs remained consistent over these years. In aggregate, China experienced a rise from 66.75 million YLLs in 2010 to 95.29 million YLLs in 2014, and to 115.05 million YLLs in 2018. Compared to 2010 (USD 191.83 billion), the associated economic cost in 2014 increased to USD 422.24 billion, and the cost in 2018 more than tripled (USD 628.15 billion). The percentage of cost to Chinese gross domestic product in corresponding years was 3.23, 4.09, and 4.62%. Conclusions Insufficient sleep is associated with substantial YLLs in China, potentially impacting the population's overall life expectancy. The escalating economic toll attributed to short sleep underscores the urgent need for public health interventions to improve sleep health at the population level.
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Affiliation(s)
- Xumeng Yan
- Department of Sociology, Tsinghua University, Beijing, China
- Department of Community Health Sciences, University of California, Los Angeles, California, USA
| | - Fang Han
- Division of Sleep Medicine, Beijing University People’s Hospital, Beijing, China
| | - Haowei Wang
- Department of Sociology and Aging Studies Institute, Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, New York, USA
| | - Zhihui Li
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Ichiro Kawachi
- Department of Social and Behavioural Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Xiaoyu Li
- Department of Sociology, Tsinghua University, Beijing, China
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Chen X, Xu Y, Du X, Li Z, Yang Y, Jiang Z, Ni H, Li Q. Effect of Porphyra haitanensis polyphenols from different harvest periods on hypoglycaemic activity based on in vitro digestion and widely targeted metabolomic analysis. Food Chem 2024; 437:137793. [PMID: 37866341 DOI: 10.1016/j.foodchem.2023.137793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 10/02/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Abstract
The hypoglycemic effect of Porphyra is well known. Based on in vitro digestion and metabolomics, the bioaccessibility, antidiabetic activity and phenolic conversion of P. haitanensis were investigated at different harvests. Total polyphenol content (TPC), α-glucosidase inhibition and oxygen radical absorbance capacity (ORAC) increased with harvesting and digestion stages, reaching maximum at the fourth harvest. TPC and α-glucosidase inhibition after digestion reached 130-150 mg/g and 50-90 %, ORAC was 8.7-13.5 times higher than the undigestion. However, bioaccessibility in the first and second harvests was 10-80 % higher than other harvests. The phenolic content in the fourth harvest was up-regulated to 2-30 times than the first and mostly were citrus flavonoids. Redundancy analysis indicated significant correlation between phenolic metabolites and bioactivities in different harvests of P. haitanensis during digestion, with the strongest correlation coefficients were apigenin and genistein. This study provides reference for the application of P. haitanensis in treating type 2 diabetes.
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Affiliation(s)
- Xiaochen Chen
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China
| | - Yating Xu
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China
| | - Xiping Du
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China.
| | - Zhipeng Li
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China.
| | - Yuanfan Yang
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China
| | - Zedong Jiang
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China
| | - Hui Ni
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China; Xiamen Ocean Vocational College, Xiamen 361021, Fujian, China
| | - Qingbiao Li
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China; Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, Xiamen, Fujian 361021, China; Research Center of Food Biotechnology of Xiamen City, Xiamen, Fujian 361021, China; Key Laboratory of Systemic Utilization and In-depth Processing of Economic Seaweed, Xiamen Southern Ocean Technology Center of China, Xiamen, Fujian 361021, China
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10
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Tao X, Mao L, Zhang P, Ma X, Liang Z, Sun K, Peiris D. Barriers and facilitators to primary care management of type 2 diabetes in Shijiazhuang City, China: a mixed methods study. BMC PRIMARY CARE 2024; 25:84. [PMID: 38481166 PMCID: PMC10935988 DOI: 10.1186/s12875-024-02330-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/06/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND The prevalence of type 2 diabetes (T2DM) in China is over 10%, affecting around 114 million people. Despite the inclusion of T2DM in the National Basic Public Health Service Program (NBPHSP), most people with T2DM experience challenges in achieving optimal management targets. This study aimed to identify barriers and facilitators of diabetes management from the perspectives of primary health care (PHC) service providers and recipients. METHODS This mixed-methods study was conducted in Shijiazhuang City, Hebei Province, China. A quantitative PHC facility assessment survey was conducted in all administrative districts and qualitative in-depth interviews were conducted in one district to government officials, medical staff, patients with T2DM, and their family members. Interviews were thematically analyzed, and all findings were synthesized using Michie's COM-B theory. RESULTS A total of 197 village/community level PHC facilities and 66 township/street level PHC facilities answered the survey, and 42 in-depth interviews were conducted. The key facilitators stemmed from the NBPHSP policy, which standardized the basic infrastructure, medical equipment, and medication for the PHC facilities, provided training on NCD prevention and control, and compensated the PHC workers. However, we identified a detrimental cycle among PHC providers characterized by inadequate capacity, overwhelming workloads, insufficient income, limited career development opportunities, and challenges in attracting young talents. Although patients were covered by the national medical insurance schemes, they experienced capability constraints primarily driven by low education levels, advanced age, low health literacy, and a proliferation of misinformation. These factors influenced patients' motivation to be actively engaged in care and contributed to inertia to intensify treatment and achieve their clinical management goals. CONCLUSION This study identifies several major facilitators and barriers from the perspectives of both PHC providers and patients with T2DM. Our findings suggest there are substantial opportunities to strengthen the NBPHSP, including improving the capacity and the income level of the PHC providers, attracting and retaining skilled health workers in rural areas, supporting patients to improve their health literacy and take a more active role in their health care, and improving access to high-quality care through digital health approaches. TRIAL REGISTRATION ClinicalTrials.gov (record NCT02726100, 03/22/2016).
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Affiliation(s)
- Xuanchen Tao
- The George Institute for Global Health, Beijing, China
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Limin Mao
- Center for Social Research in Health, University of New South Wales, Sydney, Australia
| | - Puhong Zhang
- The George Institute for Global Health, Beijing, China.
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
| | - Xinyan Ma
- Shijiazhuang Center for Disease Control, Shijiazhuang, Hebei Province, China.
| | - Zhenyu Liang
- Shijiazhuang Center for Disease Control, Shijiazhuang, Hebei Province, China
| | - Kaige Sun
- The George Institute for Global Health, Beijing, China
| | - David Peiris
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
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11
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Peng Y, Duan J, Hou J, Xu N, Wu J, Bao X, Yao Q, Li Y. Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. BMC Health Serv Res 2024; 24:328. [PMID: 38475848 DOI: 10.1186/s12913-024-10711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND This study aimed to assess the knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. METHODS This web-based cross-sectional study was conducted between May 2023 and June 2023 at the First Hospital of Zhangjiakou, China. A self-designed questionnaire was developed to collect demographic information of medical workers, and assess their knowledge, attitudes and practices toward outpatient diabetes information platform. RESULTS A total of 685 questionnaires were collected. Among the participants, 603 (88.03%) were female, 432 (63.07%) work in a tertiary hospital, 548 (80.00%) have a bachelor degree, 270 (39.42%) of them work in the department of internal medicine and 315 (45.99%) of them received previous training on outpatient diabetes information platform. The mean knowledge, attitudes and practices scores were 4.32 ± 1.27 (possible range: 0-6), 56.76 ± 5.72 (possible range: 14-70), and 32.22 ± 8.42 (possible range: 9-45), respectively. 350 (51.09%) of them have sufficient knowledge, 168 (24.53%) have positive attitudes and 395 (57.66%) have active practices. Pearson correlation analysis showed that knowledge was positively correlated with attitudes (r = 0.397, P < 0.001), and attitudes were positively correlated with practices (r = 0.306, P < 0.001). Multivariate analysis showed that primary hospital (OR = 0.32, 95% CI: 0.14-0.71, P = 0.005), secondary hospital (OR = 0.48, 95% CI: 0.32-0.72, P < 0.001), doctor (OR = 2.44, 95% CI: 1.39-4.28, P = 0.002) were independently associated with sufficient knowledge. Knowledge (OR = 1.49, 95% CI: 1.29-1.73, P < 0.001), community hospital staff (OR = 0.21, 95% CI: 0.05-0.88, P = 0.032) were independently associated with positive attitudes. Attitudes (OR = 1.13, 95% CI: 1.09-1.17, P < 0.001), junior college (OR = 1.72, 95% CI: 1.07-2.77, P = 0.026) were independently associated with active practices. The structural equation model demonstrated that knowledge had a direct effect on attitudes (path coefficient = 0.521, P < 0.001), and attitudes had a direct effect on practices (path coefficient = 0.542, P < 0.001). Moreover, the type of hospital had a direct effect on knowledge (path coefficient = 0.085, P < 0.001). Additionally, previous training on the outpatient diabetes platform had direct effects on attitudes (path coefficient = 0.191, P < 0.001) and practices (path coefficient = 0.184, P < 0.001). CONCLUSION These findings revealed that medical workers have insufficient knowledge, positive attitudes and inactive practices toward the outpatient diabetes information platform. Comprehensive training programs are needed to improve medical staff's practices in this area.
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Affiliation(s)
- Yi Peng
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China.
| | - Jianying Duan
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Jian Hou
- Department of Pharmacology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Nan Xu
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Jiaming Wu
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Xijing Bao
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Qian Yao
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Yang Li
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
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12
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Wang P, Li Y, Wang M, Song L, Dong Y, Han X, Tuomilehto J, Wang Y, Du Y, Qiu C. Comparing glycemic traits in defining diabetes among rural Chinese older adults. PLoS One 2024; 19:e0296694. [PMID: 38271374 PMCID: PMC10810428 DOI: 10.1371/journal.pone.0296694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND We sought to identify the optimal cut-off of glycated hemoglobin (HbA1c) for defining diabetes and to assess the agreements of fasting plasma glucose (FPG), fasting serum glucose (FSG), and HbA1c in defining diabetes among rural older adults in China. METHODS This population-based cross-sectional study included 3547 participants (age ≥61 years, 57.8% women) from the Multidomain Interventions to Delay Dementia and Disability in Rural China from 2018-2019; of these, 3122 had no previously diagnosed diabetes. We identified the optimal cut-off of HbA1c against FPG ≥7.0 mmol/L for defining diabetes by using receiver operating characteristic curve and Youden index. The agreements of FPG, FSG, and HbA1c in defining diabetes were assessed using kappa statistics. RESULTS Among participants without previously diagnosed diabetes (n = 3122), the optimal HbA1c cut-off for defining diabetes was 6.5% (48 mmol/mol), with the sensitivity of 88.9%, specificity of 93.7%, and Youden index of 0.825. The correlation coefficients were 0.845 between FPG and FSG, 0.574 between FPG and HbA1c, and 0.529 between FSG and HbA1c in the total sample (n = 3547). The kappa statistic for defining diabetes was 0.962 between FSG and FPG, and 0.812 between HbA1c and FPG. CONCLUSIONS The optimal cut-off of HbA1c for diagnosing diabetes against FPG >7.0 mmol/L is ≥6.5% in Chinese rural-dwelling older adults. The agreement in defining diabetes using FPG, FSG, and HbA1c is nearly perfect. These results have relevant implications for diabetes research and clinical practice among older adults in China. CLINICAL TRIAL REGISTRATION The protocol of MIND-China was registered in the Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR1800017758).
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Affiliation(s)
- Pin Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yuanjing Li
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Mingqi Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III. Madrid, Spain
- Qingdao Endocrinology and Diabetes Hospital, Qingdao, Shandong Province, P.R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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13
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Zhang Y, Gong X, Li R, Gao W, Hu D, Yi X, Liu Y, Fang J, Shao J, Ma Y, Jin L. Exposure to cadmium and lead is associated with diabetic kidney disease in diabetic patients. Environ Health 2024; 23:1. [PMID: 38166936 PMCID: PMC10763104 DOI: 10.1186/s12940-023-01045-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Cadmium (Cd) and lead (Pb) exhibit nephrotoxic activity and may accelerate kidney disease complications in diabetic patients, but studies investigating the relation to diabetic kidney disease (DKD) have been limited. We aimed to examine the associations of Cd and Pb with DKD in diabetic patients. METHODS 3763 adults with blood metal measurements and 1604 adults with urinary ones who were diabetic from National Health and Nutrition Examination Survey (NHANES) 2007-2016 were involved. Multivariate logistic regression models were used to analyze the associations of blood Cd (BCd), blood Pb (BPb), urinary Cd (UCd), and urinary Pb (UPb) with DKD. RESULTS BPb, BCd, and UCd levels were higher among participants with DKD than diabetics without nephropathy, but UPb performed the opposite result. BPb and UCd were significantly associated with DKD in the adjusted models (aOR, 1.17 (1.06, 1.29);1.52 (1.06, 2.02)). Participants in the 2nd and 3rd tertiles of BPb and BCd levels had higher odds of DKD, with a significant trend across tertiles, respectively (all P-trend < 0.005). Multiplication interaction was also identified for BPb and BCd (P for interaction = 0.044). CONCLUSION BPb, BCd, and UCd were positively associated with the risk of DKD among diabetic patients. Furthermore, there were the dose-response relationship and multiplication interaction in the associations of BPb, BCd with DKD.
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Affiliation(s)
- Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, P.R. China
| | - Xiaoyu Gong
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P.R. China
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, P.R. China
| | - Wenhui Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, P.R. China
| | - Daibao Hu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P.R. China
| | - Xiaoting Yi
- Department of Public Health, Xinjiang Medical University, Urumqi, 830011, P.R. China
| | - Yang Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P.R. China
| | - Jiaxin Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, P.R. China
| | - Jinang Shao
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P.R. China
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P.R. China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, P.R. China.
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Yu H, Zhao X, Zhang X, Wei H, Zuo A, Guo Y. Sleeping More Hours Per Day Than Working Can Prevent New-Onset Diabetes. Int J Public Health 2023; 68:1606634. [PMID: 38144394 PMCID: PMC10739384 DOI: 10.3389/ijph.2023.1606634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/19/2023] [Indexed: 12/26/2023] Open
Abstract
Objectives: We expressed the combined effect by the ratio of daily sleep time to daily work time. The aim of this study was to discussed the predictive ability of daily sleep hours/work hours (SH/WH) ratio for diabetes risk. Methods: Cox proportional hazards regression was used to calculate the hazard ratios (HRs) of new-onset diabetes. Restricted cubic spline analyses were performed to visualize the influence trend of SH/WH ratio and diabetes risk. Results: The RCS model revealed a non-linear and L-shaped correlation between SH/WH ratio and diabetes risk. Compared with the participates with SH/WH ratio <1, those with a ratio ≥1 had a lower risk of developing diabetes. The multivariable adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of new-onset diabetes in Q2, Q3, Q4 and Q5 groups compared with Q1 group were 0.82 (0.57, 1.19), 1.05 (0.69, 1.59), 0.57 (0.36, 0.91), 0.66 (0.42, 1.06). The Kaplan-Meier curve showed that Q4 group had lower cumulative incidence. Conclusion: Sleeping longer than working (SH/WH ratio ≥1) can reduce risk for developing diabetes. A minimal risk observed at 1.10-<1.37 (the fourth quintile) of SH/WH ratio.
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Affiliation(s)
- Haiyan Yu
- Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xiaoyu Zhao
- Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaodong Zhang
- Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Haishan Wei
- Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Anju Zuo
- Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yuan Guo
- Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong, China
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Lv K, Cui C, Fan R, Zha X, Wang P, Zhang J, Zhang L, Ke J, Zhao D, Cui Q, Yang L. Detection of diabetic patients in people with normal fasting glucose using machine learning. BMC Med 2023; 21:342. [PMID: 37674168 PMCID: PMC10483877 DOI: 10.1186/s12916-023-03045-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 08/23/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is a chronic metabolic disease that could produce severe complications threatening life. Its early detection is thus quite important for the timely prevention and treatment. Normally, fasting blood glucose (FBG) by physical examination is used for large-scale screening of DM; however, some people with normal fasting glucose (NFG) actually have suffered from diabetes but are missed by the examination. This study aimed to investigate whether common physical examination indexes for diabetes can be used to identify the diabetes individuals from the populations with NFG. METHODS The physical examination data from over 60,000 individuals with NFG in three Chinese cohorts were used. The diabetes patients were defined by HbA1c ≥ 48 mmol/mol (6.5%). We constructed the models using multiple machine learning methods, including logistic regression, random forest, deep neural network, and support vector machine, and selected the optimal one on the validation set. A framework using permutation feature importance algorithm was devised to discover the personalized risk factors. RESULTS The prediction model constructed by logistic regression achieved the best performance with an AUC, sensitivity, and specificity of 0.899, 85.0%, and 81.1% on the validation set and 0.872, 77.9%, and 81.0% on the test set, respectively. Following feature selection, the final classifier only requiring 13 features, named as DRING (diabetes risk of individuals with normal fasting glucose), exhibited reliable performance on two newly recruited independent datasets, with the AUC of 0.964 and 0.899, the balanced accuracy of 84.2% and 81.1%, the sensitivity of 100% and 76.2%, and the specificity of 68.3% and 86.0%, respectively. The feature importance ranking analysis revealed that BMI, age, sex, absolute lymphocyte count, and mean corpuscular volume are important factors for the risk stratification of diabetes. With a case, the framework for identifying personalized risk factors revealed FBG, age, and BMI as significant hazard factors that contribute to an increased incidence of diabetes. DRING webserver is available for ease of application ( http://www.cuilab.cn/dring ). CONCLUSIONS DRING was demonstrated to perform well on identifying the diabetes individuals among populations with NFG, which could aid in early diagnosis and interventions for those individuals who are most likely missed.
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Affiliation(s)
- Kun Lv
- Key Laboratory of Non-Coding RNA Transformation Research of Anhui Higher Education Institutes, Wuhu, China.
- Central Laboratory, First Affiliated Hospital of Wannan Medical College, Wuhu, People's Republic of China.
| | - Chunmei Cui
- Department of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, Beijing, People's Republic of China.
| | - Rui Fan
- Department of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, Beijing, People's Republic of China
| | - Xiaojuan Zha
- Laboratory Medicine, First Affiliated Hospital of Wannan Medical College, Wuhu, People's Republic of China
| | - Pengyu Wang
- Department of Pathophysiology, Harbin Medical University, Harbin, People's Republic of China
| | - Jun Zhang
- Medical College of Shihezi University, Shihezi, People's Republic of China
| | - Lina Zhang
- Department of Laboratory Diagnosis, Daqing Oil Field General Hospital, Daqing, People's Republic of China
| | - Jing Ke
- Beijing Key Laboratory of Diabetes Research and Care, Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Dong Zhao
- Beijing Key Laboratory of Diabetes Research and Care, Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Qinghua Cui
- Department of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, Beijing, People's Republic of China.
| | - Liming Yang
- Department of Pathophysiology, Harbin Medical University, Harbin, People's Republic of China.
- National Key Laboratory of Frigid Zone Cardiovascular Diseases (NKLFZCD), Harbin Medical University, Harbin, People's Republic of China.
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
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Ikoh Rph CL, Tang Tinong R. The Incidence and Management of Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus. Cureus 2023; 15:e44468. [PMID: 37664380 PMCID: PMC10471197 DOI: 10.7759/cureus.44468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2023] [Indexed: 09/05/2023] Open
Abstract
Gestational diabetes mellitus (GDM) refers to a transient state of impaired glucose tolerance that develops during pregnancy, affecting a significant proportion of expectant mothers globally. This review aimed to comprehensively examine the subsequent incidence and management of type 2 diabetes mellitus (T2DM) in women who have previously experienced GDM. The transition from GDM to T2DM is a well-recognized continuum, with affected women facing an increased risk of developing T2DM postpartum. Several studies have demonstrated that women with a history of GDM face a substantially higher risk of developing T2DM compared to normoglycemic pregnant women. The long-term consequences of developing T2DM following GDM are significant, as it not only affects the health of the mother but also poses risks to the offspring. The most common risk factors associated with the progression of GDM to T2DM include pregnancy at an advanced age, insulin treatment during pregnancy, and delivering an overweight baby. As GDM women are at higher risk of developing T2DM, effective management strategies such as lifestyle changes, postpartum care, breastfeeding, screening tests, and gaining awareness of risk are crucial to mitigate the risk of T2DM in this population. The current review was conducted to guide healthcare providers and women with a history of GDM about the potential risks of T2DM and management strategies to prevent the condition. This review provides a summary of evidence on the incidence rate of T2DM in GDM patients, its associated risk factors, and approaches to mitigate this challenge.
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Affiliation(s)
- Chinyere L Ikoh Rph
- Endocrinology, Diabetes and Metabolism, John F. Kennedy University of Medicine Curacao, Willemstad, CUW
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Lv Y, Qin J, Feng X, Li S, Tang C, Wang H. Preferences of patients with diabetes mellitus for primary healthcare institutions: a discrete choice experiment in China. BMJ Open 2023; 13:e072495. [PMID: 37369417 PMCID: PMC10410837 DOI: 10.1136/bmjopen-2023-072495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/11/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVES To quantify the preference of patients with diabetes mellitus (DM) for primary healthcare (PHC) institutions in China to redirect the patient flow and improve health outcomes. DESIGN Cross-sectional study. Discrete choice experiment (DCE) surveys asked patients with DM to choose between hypothetical institutions that differed in the medical service capacity, out-of-pocket (OOP) medical costs per month, travel time, the attitude of medical staff and the availability of diabetes drugs. SETTING Shandong province, China. PARTICIPANTS The participants were 887 patients with DM from 36 urban communities and 36 rural villages in Shandong province. One participant did not provide any DCE answers and a further 57 patients failed the internal consistency test. 829 fully completed surveys were included in the final data analysis. MAIN OUTCOMES AND MEASURES A mixed logit model was used to calculate the willingness to pay and predict choice probabilities for PHC institution attributes. Preference heterogeneity was also investigated. RESULTS All five attributes were associated with the preferences of patients with DM. The OOP medical costs and the medical service capacity were the most influential attributes. Improvements simultaneously in the attitude of medical staff, drug availability and travel time increased the likelihood of a patient's PHC institution choice. Preferences differed by region, annual household income and duration of diabetes. CONCLUSIONS Our patient preference data may help policymakers improve health services and increase acceptance of choosing PHC institutions. The OOP medical costs and medical service capacity should be regarded as a priority in decision-making.
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Affiliation(s)
- Yuyu Lv
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Center for Health Preference Research, Shandong University, Jinan, China
| | - Jingzhu Qin
- Hospital Office, Qingdao Municipal Hospital, Qingdao, China
| | - Xia Feng
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - ShunPing Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
- Center for Health Preference Research, Shandong University, Jinan, China
| | - Chengxiang Tang
- Macquarie University Centre for the Health Economy, Macquarie Business 14 School & Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Haipeng Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
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Zhang L, Liu H, Zou Z, Su S, Ong JJ, Ji F, Cui F, Chan PL, Ning Q, Li R, Shen M, Fairley CK, Liu L, Seto WK, Wong WC. Shared-care models are highly effective and cost-effective for managing chronic hepatitis B in China: reinterpreting the primary care and specialty divide. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 35:100737. [PMID: 37424676 PMCID: PMC10326699 DOI: 10.1016/j.lanwpc.2023.100737] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/17/2023] [Accepted: 02/23/2023] [Indexed: 03/22/2023]
Abstract
Background We evaluate the impact and cost-effectiveness of shared primary-specialty chronic hepatitis B (CHB) care models in China. Methods We constructed a decision-tree Markov model to simulate hepatitis B virus (HBV) disease progression in a cohort of 100,000 CHB individuals aged ≥18 years over their lifetime (aged 80). We evaluated the population impacts and cost-effectiveness in three scenarios: (1) status quo; (2) shared-care model with HBV testing and routine CHB follow-ups in primary care and antiviral treatment initiation in specialty care; and (3) shared-care model with HBV testing, treatment initiation and routine CHB follow-up in primary care and treatment for predetermined conditions in specialty care. We evaluated from a healthcare provider's perspective with 3% discounting rate and a willingness-to-pay (WTP) threshold of 1-time China's GDP. Findings Compared with status quo, scenario 2 would result in an incremental cost of US$5.79-132.43m but a net gain of 328-16,993 quality-adjusted life years (QALYs) and prevention of 39-1935 HBV-related deaths over cohort's lifetime. Scenario 2 was not cost-effective with a WTP of 1-time GDP per capita, but became cost-effective when treatment initiation rate increased to 70%. In contrast, compared with status quo, secnario 3 would save US$144.59-192.93m in investment and achieve a net gain of 23,814-30,476 QALYs and prevention of 3074-3802 HBV-related deaths. Improving HBV antiviral treatment initiation among eligible CHB individuals substantially improved the cost-effectiveness of the shared-care models. Interpretation Shared-care models with HBV testing, follow up and referring of predetermined conditions to specialty care at an appropriate time, especially antiviral treatment initiation in primary care, are highly effective and cost-effective in China. Funding National Natural Science Foundation of China.
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Affiliation(s)
- Lei Zhang
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
| | - Hanting Liu
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Zhuoru Zou
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Shu Su
- Clinical Research Management Office, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jason J. Ong
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
| | - Fanpu Ji
- Department of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Fuqiang Cui
- School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China
| | - Po-lin Chan
- Division of Communicable Disease, World Health Organization Western Pacific Regional Office, Manila, Philippines
| | - Qin Ning
- Department and Institute of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Mingwang Shen
- China–Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Christopher K. Fairley
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
| | - Lan Liu
- Chinese Medical Association Publishing House, 69 Dongheyanjie Street, XiCheng District, Beijing, China
| | - Wai-Kay Seto
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Department of Medicine, School of Clinical Medicine and State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, China
| | - William C.W. Wong
- Department of Family Medicine and Primary Care, The University of Hong Kong–Shenzhen Hospital, Shenzhen, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Wang J, Zhou L, Yin W, Hu C, Zuo X. Trends of the burden of type 2 diabetes mellitus attributable to high body mass index from 1990 to 2019 in China. Front Endocrinol (Lausanne) 2023; 14:1193884. [PMID: 37324264 PMCID: PMC10264794 DOI: 10.3389/fendo.2023.1193884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
Background Overweight and obesity are well-known risk factors for developing type 2 diabetes (T2DM). However, details on the evolution of the T2DM burden attributed to China's high body mass index (BMI) in China have not been thoroughly studied. This study aimed to investigate the temporal trends of the T2DM burden attributable to a high BMI in China from 1990 to 2019 and to evaluate the independent effects of age, period, and cohort on the burden of T2DM attributed to a high BMI. Methods Data on T2DM burden attributable to a high BMI from 1990 to 2019 were obtained from the Global Burden of Disease Study 2019. Deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of T2DM attributable to a high BMI were estimated by age and sex. The joinpoint regression model was performed to calculate the annual percentage change (APC) and the average annual percentage change (AAPC) in the burden of T2DM attributed to a high BMI. The age-period-cohort analysis was applied to estimate the independent effects of age, period, and cohort on the temporal trends of mortality and the DALY rate. Results In 2019, deaths and DALYs from T2DM attributable to a high BMI in China were 47.53 thousand and 3.74 million, respectively, five times higher than in 1990. Among those under 60 years of age, men had higher deaths and DALYs than women, while the gender differences reversed in those over 60 years of age. Furthermore, the ASMR and ASDR in 2019 were 2.39 per 100,000 (95%UI 1.12-3.90) and 181.54 per 100,000 (95%UI 93.71-286.33), respectively, representing a 91% and 126% increase since 1990. In China, women previously had a higher ASMR and ASDR than men, while the differences in the ASMR and ASDR between the sexes were reversed in recent years. From 1990 to 2019, the ASMR in women increased before 2004 and then decreased from 2004 to 2015, and increased again after, with an overall AAPC value of 1.6%. In contrast, the ASMR in men continued to increase, with an overall AAPC value of 3.2%. The ASDR continued to increase in men and women, with AAPCs of 2.2% and 3.5%, respectively. The age effect showed that the relative risk of mortality increased with age in both men and women, except for the 75-84 age group. The impact of the age on the DALY rate revealed a trend of first rising and then decreasing, peaking at 65-69 years. The effect of the period on the burden of T2DM attributable to a high BMI increased from 1990 to 2019. The cohort effect generally showed a downward trend. Conclusion The burden of T2DM attributed to a high BMI in China increased substantially from 1990 to 2019, particularly in men. Therefore, there is an urgent need for gender- and age-based public health guidelines on prevention strategies, early diagnosis, and effective management of T2DM, overweight, and obesity in China.
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Affiliation(s)
- Jianglin Wang
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Lingyun Zhou
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Wenjun Yin
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Can Hu
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Xiaocong Zuo
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China
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Cost-effectiveness of expanded antiviral treatment for chronic hepatitis B virus infection in China: an economic evaluation. THE LANCET REGIONAL HEALTH - WESTERN PACIFIC 2023. [DOI: 10.1016/j.lanwpc.2023.100738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
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