Assessing Risk Factors of Diabetes Mellitus based on Rural-urban Residence in Bangladesh: Findings from Two Cross Sectional Surveys

Salma Akter, Shahanaj Parvin, Most Sifat Muntaha Soni, Md. Ismail Hossain, Shahjadi Ireen, Rebeka Sultana, Mansura Begum
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 Methods: The relationship between the outcome variables and the covariates was evaluated using a chi-square test. In order to identify the risk factors strongly linked to diabetes mellitus, two distinct multivariate binary logistic regression models were utilized (one for urban and the other for rural areas).
 Results: In 2011 there were 8.3% of respondents who had diabetes, and 11% in 2017–18. Multivariate analysis of the determinants of diabetes status in relation to place of residence revealed a significant impact on age, education, wealth status, region, and survey year. Diabetes risk was lower in rural Bangladesh (OR = 0.87), according to the odds ratio. In terms of fixed effects, the risk of diabetes was significantly 2.34 times higher for rich households compared to poor urban households, whereas the risk was 1.98 times higher for rural households. Unemployed respondents had a higher risk of diabetes (OR = 1.33 for urban and OR = 1.31 for rural residences) than employed respondents. Both urban and rural respondents without hypertension were at less risk of diabetes than those with hypertension (OR = 0.73 for urban and OR = 0.77 for rural).
 Conclusion: A large proportion of the adult population in Bangladesh suffers from diabetes. Different health education programs are required to develop appropriate strategies, including proper weight control, physical activity, and healthier eating habits to prevent the prevalence of diabetes in Bangladesh.","PeriodicalId":8532,"journal":{"name":"Asian Journal of Probability and Statistics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajpas/2023/v25i1538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Background: Diabetes mellitus is a rising global health issue that causes a number of health complications and is becoming increasingly prevalent in countries with low and medium incomes. The objective of the study is to assess the changes of the prevalence and associated risk factors of diabetes mellitus in the middle-aged and elderly population in urban and rural areas of Bangladesh between the years 2011 and 2018. Methods: The relationship between the outcome variables and the covariates was evaluated using a chi-square test. In order to identify the risk factors strongly linked to diabetes mellitus, two distinct multivariate binary logistic regression models were utilized (one for urban and the other for rural areas). Results: In 2011 there were 8.3% of respondents who had diabetes, and 11% in 2017–18. Multivariate analysis of the determinants of diabetes status in relation to place of residence revealed a significant impact on age, education, wealth status, region, and survey year. Diabetes risk was lower in rural Bangladesh (OR = 0.87), according to the odds ratio. In terms of fixed effects, the risk of diabetes was significantly 2.34 times higher for rich households compared to poor urban households, whereas the risk was 1.98 times higher for rural households. Unemployed respondents had a higher risk of diabetes (OR = 1.33 for urban and OR = 1.31 for rural residences) than employed respondents. Both urban and rural respondents without hypertension were at less risk of diabetes than those with hypertension (OR = 0.73 for urban and OR = 0.77 for rural). Conclusion: A large proportion of the adult population in Bangladesh suffers from diabetes. Different health education programs are required to develop appropriate strategies, including proper weight control, physical activity, and healthier eating habits to prevent the prevalence of diabetes in Bangladesh.
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评估孟加拉国城乡居民糖尿病的危险因素:两项横断面调查的结果
背景:糖尿病是一个日益严重的全球健康问题,可引起许多健康并发症,在低收入和中等收入国家日益普遍。该研究的目的是评估2011年至2018年期间孟加拉国城乡中老年人口糖尿病患病率及相关危险因素的变化。& # x0D;方法:采用卡方检验评价结果变量与协变量之间的关系。为了确定与糖尿病密切相关的危险因素,使用了两个不同的多元二元logistic回归模型(一个用于城市地区,另一个用于农村地区)。结果:2011年有8.3%的受访者患有糖尿病,2017-18年为11%。对糖尿病状况的决定因素与居住地的关系进行多变量分析,发现年龄、教育程度、财富状况、地区和调查年份对糖尿病状况有显著影响。根据优势比,孟加拉国农村的糖尿病风险较低(OR = 0.87)。在固定效应方面,富裕家庭患糖尿病的风险是城市贫困家庭的2.34倍,而农村家庭的风险是1.98倍。与就业者相比,失业者患糖尿病的风险更高(城市居民OR = 1.33,农村居民OR = 1.31)。城市和农村无高血压的受访者患糖尿病的风险均低于高血压患者(城市OR = 0.73,农村OR = 0.77)。结论:孟加拉国有很大比例的成年人患有糖尿病。需要不同的健康教育方案来制定适当的战略,包括适当的体重控制、体育活动和更健康的饮食习惯,以防止孟加拉国糖尿病的流行。
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