Prevalence and predictors of depression in tuberculosis patients in india: a systematic review and meta-analysis.

Janmejaya Samal, Ranjit Kumar Dehury, M Benson Thomas, Hari Singh
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Abstract

Introduction: TB and common mental disorders pose significant global health challenges that considerably impact human health. The combination of depression with TB can lead to a poor quality of life, low medication adherence, progression to drug-resistant tuberculosis, and ultimately, mortality.

Objectives: This study aimed to estimate the pooled prevalence of depression in TB patients and identify the predictors of depression in this population in India.

Methods: The preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for reporting this systematic review and meta-analysis. Data were extracted from October to December 2024 using the PUBMED, Scopus, EMBASE, and DOAJ databases. A total of 25 articles were selected, and the included articles underwent quality assessment using the Joanna Briggs Institute Critical Appraisal checklist. The pooled prevalence of depression in TB patients was estimated at a 95% confidence interval using a random effects model, assuming potential heterogeneity. STATA 18 (Stata Corp LLC, College Station, TX, USA) was used for analysis.

Results: The total sample across 25 studies included 12,033 (Mean(SD) = 481(1377), Median = 169, IQR = 106-302). The pooled prevalence of depression in TB patients in India was estimated at 37% (95% CI: 26- 49%). A subgroup analysis based on the types of TB cases indicated that the prevalence of depression in different kinds of TB cases did not vary substantially, with 39% (95% CI: 26- 54%) in both Drug-Resistant (DR) and Drug-Sensitive (DS) Tuberculosis (TB) cases, followed by DR-TB cases [36% (95% CI: 09-68%)] and DS-TB cases [32% (95% CI: 14- 53%)]. Of the nine assessment tools used to assess depression, the pooled prevalence utilising the Patient Health Questionnaire (PHQ)-9 tool was highest [43% (95% CI: 31-56%)]. There was considerable heterogeneity (I2 = 99.10%) observed in the random-effects model. Factors associated with depression in TB patients included gender, demographics, education, occupation, marital and relationship issues, religion, socio-economic status, habitat, disease-related factors, treatment-related factors, and social and Behavioural factors.

Conclusion: The study found that over one-third of TB patients experienced depression. The coexistence of depression and TB constitutes a significant public health issue that needs addressing at both the community and health facility levels.

印度肺结核患者抑郁的患病率和预测因素:一项系统回顾和荟萃分析。
结核病和常见精神障碍构成重大的全球卫生挑战,严重影响人类健康。抑郁症与结核病合并可导致生活质量差、药物依从性低、发展为耐药结核病,并最终导致死亡。目的:本研究旨在估计印度结核病患者中抑郁症的总患病率,并确定该人群中抑郁症的预测因素。方法:按照系统评价和荟萃分析(PRISMA)指南的首选报告项目报告本系统评价和荟萃分析。数据提取于2024年10月至12月,使用PUBMED、Scopus、EMBASE和DOAJ数据库。共选择了25篇文章,并使用乔安娜布里格斯研究所关键评估清单对纳入的文章进行了质量评估。使用随机效应模型估计结核患者抑郁症的总患病率为95%置信区间,假设存在潜在的异质性。STATA 18 (STATA Corp LLC, College Station, TX, USA)用于分析。结果:25项研究共纳入12033份样本(Mean(SD) = 481(1377), Median = 169, IQR = 106-302)。印度结核病患者中抑郁症的总患病率估计为37% (95% CI: 26- 49%)。基于结核病例类型的亚组分析显示,不同类型结核病例的抑郁患病率差异不大,耐药结核(DR)和药敏结核(DS)病例中抑郁患病率均为39% (95% CI: 26- 54%),其次是耐药结核[36% (95% CI: 09-68%)]和DS-TB [32% (95% CI: 14- 53%)]。在用于评估抑郁症的九种评估工具中,使用患者健康问卷(PHQ)-9工具的总患病率最高[43% (95% CI: 31-56%)]。在随机效应模型中观察到相当大的异质性(I2 = 99.10%)。与结核病患者抑郁相关的因素包括性别、人口统计、教育、职业、婚姻和关系问题、宗教、社会经济地位、居住地、疾病相关因素、治疗相关因素以及社会和行为因素。结论:研究发现,超过三分之一的结核病患者患有抑郁症。抑郁症和结核病的共存构成了一个重大的公共卫生问题,需要在社区和卫生机构两级加以解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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