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已诊断和未诊断糖尿病患病率的性别差异评估:来自孟加拉国人口与健康调查数据的结果

Assessment of sex disparities in prevalence of diagnosed and undiagnosed diabetes mellitus: results from the Bangladesh demographic and health survey data.

作者信息

Suhel Shakib Ahmed, Akther Nayma, Islam Shofiqul, Dhor Nipa Rani, Ahmed Masud, Hossain Ahmed

机构信息

Sylhet MAG Osmani Medical College and Hospital, Sylhet, Bangladesh.

Jaintapur Upazila Health Complex, Sylhet, Bangladesh.

出版信息

BMC Endocr Disord. 2024 Dec 18;24(1):265. doi: 10.1186/s12902-024-01788-x.

Abstract

BACKGROUND

The global health concern regarding the low prevalence of diagnosed diabetes mellitus (DDM) is evident, but the prevalence of DDM is increasing. This is attributed to the frequent underestimation of undiagnosed diabetes mellitus (UDM). Given the limited research on this matter in Bangladesh, there is a need to investigate sex differences in both the prevalence and risk factors of DDM among Bangladeshi adults.

METHODS

This study utilizes the latest data from the Bangladesh Demographic and Health Survey (BDHS) conducted between 2017 and 2018, involving 11,911 adult participants. The research focuses on exploring sex-specific differences in the prevalence of diagnosed diabetes mellitus (DDM) and undiagnosed diabetes mellitus (UDM). Multinomial logistic regression models are applied to examine the sex effect after adjusting socio-demographic, household, and community-related factors associated with these conditions.

RESULTS

In the group of 5127 (43%) males, the prevalence of diagnosed diabetes mellitus (DDM) and undiagnosed diabetes mellitus (UDM) stood at 344 (7%) and 94 (2%), respectively. Among 6784 (57%) females, these figures were slightly lower at 424(6%) for DDM and 138 (2%) for UDM. In males aged 30-39, UDM exhibited significantly (RRR: 6.83, 95% CI: 2.01-23.18), associations, in contrast to the nonsignificant association observed for DDM. Unemployed female had a high risk of diagnosed (RRR: 1.28, 95% CI: 1.02-1.6) and undiagnosed (RRR: 1.52, 95% CI: 1.01-2.31) diabetes. Age, hypertension, wealth, overweight status, and residing in Dhaka had significant relationship with DDM and UDM for both males and females.

CONCLUSIONS

This study reveals that diabetes prevalence in Bangladesh is influenced by various risk factors, with distinct impacts on men and women. Women living in Dhaka who are unemployed are at a significantly higher risk of both diagnosed and undiagnosed diabetes compared to men. To effectively combat the rising diabetes rate, we must implement targeted interventions that address these sex-specific disparities. These interventions should focus on age, wealth, regional variations, and especially on unemployed women in Dhaka, considering their heightened risk.

摘要

背景

全球对确诊糖尿病(DDM)低患病率的健康担忧显而易见,但DDM的患病率正在上升。这归因于未确诊糖尿病(UDM)经常被低估。鉴于孟加拉国对此问题的研究有限,有必要调查孟加拉国成年人中DDM患病率及危险因素的性别差异。

方法

本研究利用了2017年至2018年进行的孟加拉国人口与健康调查(BDHS)的最新数据,涉及11911名成年参与者。该研究重点探索确诊糖尿病(DDM)和未确诊糖尿病(UDM)患病率的性别差异。应用多项逻辑回归模型来检验在调整与这些情况相关的社会人口、家庭和社区因素后的性别效应。

结果

在5127名(43%)男性组中,确诊糖尿病(DDM)和未确诊糖尿病(UDM)的患病率分别为344名(7%)和94名(2%)。在6784名(57%)女性中,DDM为424名(6%),UDM为138名(2%),这些数字略低。在30 - 39岁的男性中,UDM呈现出显著关联(相对风险比:6.83,95%置信区间:2.01 - 23.18),而DDM的关联不显著。失业女性患确诊糖尿病(相对风险比:1.28,95%置信区间:1.02 - 1.6)和未确诊糖尿病(相对风险比:1.52,95%置信区间:1.01 - 2.31)的风险较高。年龄、高血压、财富、超重状态以及居住在达卡与男性和女性患DDM和UDM均有显著关系。

结论

本研究表明,孟加拉国的糖尿病患病率受多种危险因素影响,对男性和女性有不同影响。与男性相比,居住在达卡的失业女性患确诊和未确诊糖尿病的风险显著更高。为有效应对不断上升的糖尿病发病率,我们必须实施针对性干预措施以解决这些性别差异。这些干预措施应关注年龄、财富、地区差异,尤其要关注达卡的失业女性,因为她们风险更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e6/11653888/a89ec5bff39b/12902_2024_1788_Fig1_HTML.jpg

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