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Alam MZ, Sheoti IH. The burden of diabetes and hypertension on healthy life expectancy in Bangladesh. Sci Rep 2024; 14:7936. [PMID: 38575655 PMCID: PMC10995204 DOI: 10.1038/s41598-024-58554-1] [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: 01/06/2023] [Accepted: 04/01/2024] [Indexed: 04/06/2024] Open
Abstract
Diabetes and hypertension are among the leading causes of death in Bangladesh. This study examined hypertension, diabetes, and either or both, free life expectancy, to measure the effect of the diseases on the overall health of individuals in Bangladesh with regional variations. We utilized data from Bangladesh Sample Vital Statistics 2018 for mortality and Bangladesh Demographic and Health Survey 2017-2018 for diabetes and hypertension. The Sullivan method was employed to estimate age-specific hypertension and diabetes-free life expectancy. Altogether, 10.3% of the people aged 18-19 years lived with either diabetes or hypertension. The hypertension-free life expectancy was 40.4 years, and the diabetes-free life expectancy was 53.2 years for those aged 15-19. Overall, individuals would expect to spend 38.7% of their lives with either of the diseases. Females suffered more from hypertension and males from diabetes. Still, females suffered more from the aggregate of both. Rural people had more diabetes and hypertension-free life expectancy than those of urban. Individuals of Mymensingh had the highest life expectancy free of both diseases compared to other divisions of Bangladesh. Diabetes and hypertension affect a considerable proportion of the life of the population in Bangladesh. Policy actions are needed to guide the prevention, diagnosis, and treatment of both diseases, specifically focusing on women and urban populations. Widespread health-enhancing actions need to be taken to diminish the effect of these two diseases in Bangladesh.
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Affiliation(s)
- Md Zakiul Alam
- Department of Population Sciences, University of Dhaka, Dhaka, 1000, Bangladesh.
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Maryland, 21205, USA.
| | - Isna Haque Sheoti
- Department of Population Sciences, University of Dhaka, Dhaka, 1000, Bangladesh
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Ahmmed F, Hossain MJ, Khan MTF, Manik MMR, Shahriar S, Nandi DC, Hussain MP. Mediating effect of BMI on the association of economic status and coexistence of hypertension and diabetes in Bangladesh: A counterfactual framework-based weighting approach. Health Sci Rep 2024; 7:e2063. [PMID: 38660004 PMCID: PMC11039488 DOI: 10.1002/hsr2.2063] [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: 08/04/2023] [Revised: 03/31/2024] [Accepted: 04/07/2024] [Indexed: 04/26/2024] Open
Abstract
Background and Aims Non-communicable diseases such as hypertension and diabetes are matters of huge concern worldwide, with an increasing trend in prevalence over the previous decade. First of all, this study aimed to evaluate the association between economic status (ES) and body mass index (BMI), ES and comorbidity of hypertension and diabetes, and BMI and comorbidity independently. Second, it explored the mediating role of BMI in the association between ES and comorbidity of hypertension and diabetes. Finally, it investigated whether the mediating effect differs with the place of residence, gender, and education levels. Methods A total of 11,291 complete cases from the Bangladesh demographic and health survey 2017-18 were utilized for this study. Survey-based binary logistic regression or multiple logistic regression was used to find the association among outcome, exposure, and mediator variables, and a counterfactual framework-based weighting approach was utilized for mediation analysis. Results Middle-income (adjusted odds ratio [AOR]: 1.696, 95% confidence interval [CI]: 1.219, 2.360) and rich (AOR: 2.770, CI: 2.054, 3.736) respondents were more likely to have comorbidity of hypertension and diabetes compared to the poor. The odds of comorbidity increased with the increase in BMI. A positive association was observed between ES and BMI. A significant mediating role of BMI in the association between ES and comorbidity was found. We observed that 19.85% (95% CI: 11.50%, 49.6%) and 20.35% (95% CI: 14.9%, 29.3%) of total effect was mediated by BMI for middle and rich respondents, respectively, compared to the poor. Conclusions The mediating role of BMI was greater for female, no or primary educated respondents, and respondents from rural areas. Therefore, the study will facilitate policymakers of Bangladesh and other countries with a similar set-up to decide on health policies regarding hypertension and diabetes.
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Affiliation(s)
- Foyez Ahmmed
- Department of StatisticsComilla UniversityCumillaBangladesh
- Department of Biostatistics & Data ScienceUniversity of Kansas Medical CenterKansas CityKansasUSA
| | - Md. Jamal Hossain
- Department of Pharmacy, School of Pharmaceutical SciencesState University of BangladeshDhakaBangladesh
| | | | | | - Saimon Shahriar
- Department of Pharmacy, School of Pharmaceutical SciencesState University of BangladeshDhakaBangladesh
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Sen KK, Jamee AR, Islam UN, Bari W. Unveiling the effects of living standards on diabetes and hypertension with the mediating role of overweight and obesity: a cross-sectional study in Bangladesh. BMJ Open 2023; 13:e075370. [PMID: 37963706 PMCID: PMC10649606 DOI: 10.1136/bmjopen-2023-075370] [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] [Received: 05/05/2023] [Accepted: 10/26/2023] [Indexed: 11/16/2023] Open
Abstract
OBJECTIVE The purpose of the study was to ascertain how the standard of living is associated with the likelihood of developing diabetes and hypertension directly as well as indirectly through overweight and obesity. STUDY DESIGN The study used 2017-2018 Bangladesh Demographic and Health Survey data. It examined the household living standard (LSD) as the main factor, and body mass index (BMI) as a mediator. Outcomes included diabetes status, hypertension status and their co-occurrence. Structural equation modelling with logistic regression and bootstrapping were used for mediation analysis and computing bias-corrected SEs. SETTING The research was carried out in Bangladesh and included both male and female adults. PARTICIPANTS The study encompassed a total of 11 961 adults (5124 males and 6837 females) aged 18 years or older. RESULTS Among the participants, 10.3% had diabetes, 28.6% had hypertension and 4.9% had both conditions. The prevalence of diabetes, hypertension or both conditions was 18.5%, 33.5% and 9.7%, respectively, among those with a high LSD. Regression analysis demonstrated that individuals with high LSD had significantly elevated risks of these conditions compared with those with low LSD: 133% higher odds for diabetes (OR 2.22; 95% CI 1.97 to 2.76), 25% higher odds for hypertension (OR 1.25; 95% CI 1.10 to 1.42) and 148% higher odds for both conditions (OR 2.48; 95% CI 1.96 to 3.14). Moreover, the indirect effects of high LSD through obesity surpassed its direct effects for developing diabetes, hypertension or both conditions. CONCLUSION This study emphasises that with the enhancement of LSD, individuals often experience weight gain, resulting in elevated BMI levels. This cascade effect significantly amplifies the risks of diabetes, hypertension or both conditions. To counteract this concerning trajectory, policy interventions and targeted awareness campaigns are imperative. These efforts must prioritise the promotion of heightened physical activity and the mitigation of the overweight/obesity surge associated with rising LSD.
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Affiliation(s)
| | | | | | - Wasimul Bari
- Department of Statistics, University of Dhaka, Dhaka, Bangladesh
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Diabetes, Hypertension, and Comorbidity among Bangladeshi Adults: Associated Factors and Socio-Economic Inequalities. J Cardiovasc Dev Dis 2022; 10:jcdd10010007. [PMID: 36661902 PMCID: PMC9863699 DOI: 10.3390/jcdd10010007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022] Open
Abstract
Diabetes, hypertension, and comorbidity are still crucial public health challenges that Bangladeshis face. Nonetheless, very few studies have been conducted to examine the associated factors, especially the socioeconomic inequalities in diabetes, hypertension, and comorbidity in Bangladesh. This study explored the prevalence of, factors connected with, and socioeconomic inequalities in diabetes, hypertension, and comorbidity among Bangladeshi adults. We used the Bangladesh Demographic and Health Survey (BDHS) data set of 2017−2018. A total of 12,136 (weighted) Bangladeshi adults with a mean age of 39.5 years (±16.2) participated in this study. Multilevel (mixed-effect) logistic regression analysis was employed to ascertain the determinants of diabetes, hypertension, and comorbidity, where clusters were considered as a level-2 factor. The concentration curve (CC) and concentration index (CIX) were utilized to investigate the inequalities in diabetes, hypertension, and comorbidity. The weighted prevalence of diabetes, hypertension, and comorbidity was 10.04%, 25.70%, and 4.47%, respectively. Age, body mass index, physical activity, household wealth status, and diverse administrative divisions were significantly associated with diabetes, hypertension, and comorbidity among the participants. Moreover, participants’ smoking statuses were associated with hypertension. Women were more prone to hypertension and comorbidity than men. Diabetes (CIX: 0.251, p < 0.001), hypertension (CIX: 0.071, p < 0.001), and comorbidity (CIX: 0.340, p < 0.001) were higher among high household wealth groups. A pro-wealth disparity in diabetes, hypertension, and comorbidity was found. These inequalities in diabetes, hypertension, and comorbidity emphasize the necessity of designing intervention schemes geared towards addressing the rising burden of these diseases.
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Nguyen PH, Tauseef S, Khuong LQ, Das Gupta R, Billah SM, Menon P, Scott S. Underweight, overweight or obesity, diabetes, and hypertension in Bangladesh, 2004 to 2018. PLoS One 2022; 17:e0275151. [PMID: 36178894 PMCID: PMC9524627 DOI: 10.1371/journal.pone.0275151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 09/12/2022] [Indexed: 01/14/2023] Open
Abstract
Background and objectives Bangladesh is experiencing a nutrition transition with an increase in the double burden of malnutrition and non-communicable diseases (NCDs). This study sought to: 1) examine trends and differences in underweight, overweight/obesity, hypertension and diabetes by gender, area of residence, and wealth in Bangladesh from 2004 to 2018, 2) assess what factors contributed to changes in these outcomes. Methods We used data from five rounds of the Bangladesh Demographic and Health Surveys (n = 76,758 women 15-49y and 10,900 men 18-95y in total). We calculated differences, slope index of inequality (SII) and concentration index (CIX) to examine trends over time and differences in outcomes by wealth and residence. We identified determinants and estimated drivers of changes in outcomes using regression-based decomposition. Results Between 2004 and 2018, underweight prevalence decreased in both women (33% to 12%) and men (26% to 18%), whereas overweight/obesity increased (17% to 49% in women and 21% to 34% in men). Hypertension also increased in both women (31% to 44%) and men (19% to 33%) while diabetes changed marginally (11% to 14%). In all years, underweight was concentrated in poorer and rural households while overweight/obesity, diabetes and hypertension were concentrated in wealthier and urban households. Wealth inequity decreased over time for underweight, changed little for overweight/obesity, and increased for hypertension and diabetes among men. Increases in wealth explained 35% to 50% of the reduction in underweight and 30% to 57% of the increase in overweight/obesity. Conclusion Our findings imply that double duty actions are required to sustain the decrease in undernutrition and slow the increase in overweight/obesity and NCDs across diverse socioeconomic sections of the population in Bangladesh.
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Affiliation(s)
- Phuong Hong Nguyen
- International Food Policy Research Institute, Washington, DC, United States of America
- * E-mail:
| | | | | | - Rajat Das Gupta
- Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America
- BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | - Sk. Masum Billah
- International Centre for Diarrheal Disease Research, Bangladesh (icddr, b), Dhaka, Bangladesh
- The University of Sydney School of Public Health, Sydney, New South Wales, Australia
| | - Purnima Menon
- International Food Policy Research Institute, Washington, DC, United States of America
| | - Samuel Scott
- International Food Policy Research Institute, Washington, DC, United States of America
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Alghnam S, Alessy SA, Bosaad M, Alzahrani S, Al Alwan I, Alqarni A, Alshammari R, Al Dubayee M, Alfadhel M. Reply to Alsarwani, R.M. Comment on "Alghnam et al. The Association between Obesity and Chronic Conditions: Results from a Large Electronic Health Records System in Saudi Arabia. Int. J. Environ. Res. Public Health 2021, 18, 12361". INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9848. [PMID: 36011485 PMCID: PMC9408043 DOI: 10.3390/ijerph19169848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/06/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
We genuinely thank Dr. Alsarwani for his insights [...].
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Affiliation(s)
- Suliman Alghnam
- Population Health Section, King Abdullah International Medical Research Centre (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh 11426, Saudi Arabia
| | - Saleh A. Alessy
- Public Health Department, College of Health Sciences, Saudi Electronic University, Riyadh 11673, Saudi Arabia
| | - Mohamed Bosaad
- Department of Epidemiology, School of Public Health, University of Pittsburg, Pittsburg, PA 15261, USA
| | - Sarah Alzahrani
- Population Health Section, King Abdullah International Medical Research Centre (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh 11426, Saudi Arabia
| | - Ibrahim Al Alwan
- Division of Endocrinology, Department of Pediatrics, King Abdulaziz Medical City, King Abdullah Specialist Children’s Hospital, MNG-HA, Riyadh 11426, Saudi Arabia
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, MNG-HA, Riyadh 11426, Saudi Arabia
| | - Ali Alqarni
- King Abdullah International Medical Research Centre, King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City, MNG-HA, Alahsa 11426, Saudi Arabia
| | - Riyadh Alshammari
- School of Public Health, King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh 11426, Saudi Arabia
| | - Mohammed Al Dubayee
- Division of Endocrinology, Department of Pediatrics, King Abdulaziz Medical City, King Abdullah Specialist Children’s Hospital, MNG-HA, Riyadh 11426, Saudi Arabia
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, MNG-HA, Riyadh 11426, Saudi Arabia
| | - Majid Alfadhel
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, MNG-HA, Riyadh 11426, Saudi Arabia
- Medical Genomic Research Department, King Abdullah International Medical Research Centre, King Abdulaziz Medical City, MNG-HA, Riyadh 11426, Saudi Arabia
- Genetics and Precision Medicine Department (GPM), King Abdulaziz Medical City, King Abdullah Specialist Children’s Hospital, MNG-HA, Riyadh 11426, Saudi Arabia
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Liu Y, Chen X, Li C, Fan B, Lv J, Qu Y, Cai Y, Zhang T. Life-course blood pressure trajectories and incident diabetes: A longitudinal cohort in a Chinese population. Front Endocrinol (Lausanne) 2022; 13:1035890. [PMID: 36440203 PMCID: PMC9691649 DOI: 10.3389/fendo.2022.1035890] [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] [Received: 09/03/2022] [Accepted: 10/24/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Blood pressure levels are correlated with diabetes among middle-aged or older adults. However, longitudinal trajectories of blood pressure during young adulthood and their impact on diabetes have been insufficiently studied. METHODS The longitudinal cohort consisted of 4,625 adults who had blood pressure and body mass index (BMI) repeatedly measured five to nine times during 18-60 years of age. Distinct systolic blood pressure (SBP) trajectories were identified by a group-based trajectory model. Logistic regression analyses were used to investigate the association between trajectory patterns or quartiles of area under the curve values of SBP trajectories and incident diabetes, respectively. RESULTS Four distinct trajectory groups were identified for SBP: normotensive-stable (n = 761, 16.5%), prehypertension-stable (n = 2,381, 51.5%), stage I hypertension-increasing (n = 1,231, 26.6%), and stage II hypertension-increasing (n = 251, 5.4%). Compared with subjects who remained at SBP <120 mmHg in the normotensive-stable group, individuals in the prehypertension-stable trajectory exhibited a normal SBP range (<140 mmHg), and they still had a significantly higher risk of diabetes (adjusted OR = 1.82, p = 0.029). Individuals had a greater risk of diabetes in the stage I hypertension-increasing group (adjusted OR = 2.31, p = 0.006) and the highest risk in the stage II hypertension-increasing group (adjusted OR = 3.91, p < 0.001) relative to the normotensive-stable group. Furthermore, compared with the first quartile, adjusted ORs (95% CIs) of the fourth quartile of SBP incremental and total AUC were 2.50 (1.61-3.97) and 1.82 (1.15-2.94), respectively. CONCLUSIONS Long-term SBP trajectory is a significant predictor for incident diabetes, which is independent of baseline SBP and body weight, attaching importance to maintaining optimal blood pressure levels and controlling changing slopes of SBP for preventing diabetes.
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Affiliation(s)
- Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Xiaohong Chen
- Center of Health Management, Beijing University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Chunxia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Bingbing Fan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Yanlin Qu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Yongjiang Cai
- Center of Health Management, Beijing University Shenzhen Hospital, Shenzhen, Guangdong, China
- *Correspondence: Tao Zhang, ; Yongjiang Cai,
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, China
- *Correspondence: Tao Zhang, ; Yongjiang Cai,
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