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影响已婚成年人抑郁的因素:基于性别的家庭横断面研究。

Factors affecting depression among married adults: a gender-based household cross-sectional study.

机构信息

Health Research Group, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.

Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.

出版信息

BMC Public Health. 2023 Oct 24;23(1):2077. doi: 10.1186/s12889-023-16979-9.

DOI:10.1186/s12889-023-16979-9
PMID:37875899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10594902/
Abstract

BACKGROUND

Depression is a common mental health problem all over the world including Bangladesh. World Health Organization included it in the Mental Health Gap Action Programme as one of its priority conditions. Research on this issue is scanty in Bangladesh. Therefore, we designed to a gender-based household study on associated factors of depression among married adults in Rajshahi City of Bangladesh.

METHODS

We conducted this household cross-sectional study from August 01 to October 31, 2019. A total of 708 married adults currently living together in Rajshahi City were recruited for this study. We applied a multi-stage random sampling technique for selecting samples and used a semi-structured questionnaire to collect necessary information from them. The Patient Health Questionnaire-9 was used for measuring depression and frequency distribution and binary logistic regression model were used for data analysis.

RESULTS

The prevalence of depression (moderate to severe) was 14.4% (95% CI: 11.9-16.9) among married adults, and females (21.2%, 95% CI: 17.2-25.4) suffered more than males (7.6%, 95% CI: 4.8-10.5). A multiple binary logistic regression model established four main factors of depression among married females: (i) multiple marriage [AOR = 19.982; 95% CI: 10.081-39.610; p < 0.01]; (ii) poor relationship with spouse [AOR = 2.175; 95%CI: 1.068-4.428; p < 0.05]; (iii) chronic medical comorbidity [AOR = 1.876; 95%CI: 1.009-2.626; p < 0.05]; and (iv) 7-12 years duration of conjugal life [AOR = 2.091, 1.009-4.334; p < 0.05]. Two main factors of depression among married males were (i) multiple marriage [AOR = 24.605; 95% CI: 20.228-40.402; p < 0.01] and hard work [AOR = 4.358; 95%CI: 1.109-7.132; p < 0.05].

CONCLUSION

The prevalence of depression was significantly high among the study population, and females were the most vulnerable group. The concerned authorities and stakeholders should take appropriate measures to manage the problem with special focus on the risk factors and the vulnerable groups.

摘要

背景

抑郁症是全世界常见的一种心理健康问题,包括孟加拉国。世界卫生组织将其纳入精神卫生差距行动规划,作为其优先条件之一。孟加拉国对此问题的研究很少。因此,我们设计了一项基于性别的家庭研究,以调查孟加拉国拉杰沙希市已婚成年人中与抑郁相关的因素。

方法

我们于 2019 年 8 月 1 日至 10 月 31 日进行了这项家庭横断面研究。共有 708 名目前居住在拉杰沙希市的已婚成年人参加了这项研究。我们采用多阶段随机抽样技术选择样本,并使用半结构式问卷从他们那里收集必要的信息。患者健康问卷-9 用于衡量抑郁程度,采用频率分布和二元逻辑回归模型进行数据分析。

结果

已婚成年人中(11.9-16.9%)抑郁(中度至重度)的患病率为 14.4%,女性(17.2-25.4%)比男性(4.8-10.5%)更容易患病。建立了一个已婚女性抑郁的四个主要因素的多元二元逻辑回归模型:(i)多次婚姻[AOR=19.982;95%CI:10.081-39.610;p<0.01];(ii)与配偶关系不佳[AOR=2.175;95%CI:1.068-4.428;p<0.05];(iii)慢性合并症[AOR=1.876;95%CI:1.009-2.626;p<0.05];以及(iv)婚姻生活 7-12 年[AOR=2.091,1.009-4.334;p<0.05]。已婚男性抑郁的两个主要因素是(i)多次婚姻[AOR=24.605;95%CI:20.228-40.402;p<0.01]和努力工作[AOR=4.358;95%CI:1.109-7.132;p<0.05]。

结论

研究人群中抑郁的患病率显著较高,女性是最脆弱的群体。有关当局和利益攸关方应采取适当措施,特别关注风险因素和弱势群体,以管理这一问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/53cb5d6cf3e7/12889_2023_16979_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/023a1ebe3bce/12889_2023_16979_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/a27841e7289b/12889_2023_16979_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/2c354b794ca0/12889_2023_16979_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/53cb5d6cf3e7/12889_2023_16979_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/023a1ebe3bce/12889_2023_16979_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/a27841e7289b/12889_2023_16979_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/2c354b794ca0/12889_2023_16979_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/10594902/53cb5d6cf3e7/12889_2023_16979_Fig4_HTML.jpg

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