Ahmad Hajebi, Ilia Zamani Hajiabadi, Afsaneh Fendereski, Robabeh Ghodssighassemabadi, Arshia Zamani Hajiabadi, Jalil Hosseini, Keshvar Samadaee Gelehkolaee
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引用次数: 0
摘要
背景:重度抑郁症(MDD)是给社会带来巨大疾病负担的健康问题之一。它的流行是基于性别的。因此,本研究旨在调查2011年至2022年间伊朗男性重度抑郁症的患病率。方法:检索Medline、Embase、Scopus、Web of Sciences、PsycINfo和iran数据库2011年1月至2022年12月发表的研究。两名独立审稿人筛选了对15岁及以上重度抑郁症男性进行的观察性研究。感兴趣的结果是重度抑郁症的流行类型。结果:本meta分析纳入了5项研究的数据。在10667名研究参与者中,1479人(13.9%)有重度抑郁症病史。在亚组分析中,平均终生患病率为7.6%(95%可信区间[CI];4.7 - 12.0%),点患病率为19.1%(95%可信区间[CI];6.7% - 43.5%),基于随机效应模型。12个月患病率为10.8%(95%可信区间[CI];9.8 - 11.9%)。结论:由于伊朗男性重度抑郁症的高患病率和该领域缺乏足够的研究,强烈建议采取预防和治疗方案。
Prevalence of major depressive disorder in Iranian men from 2011 to 2022; a systematic review and meta-analysis.
Background: Major depressive disorder (MDD) is one of the health problems that imposes a large disease burden on the community. Its prevalence is based on gender. Therefore, this study aims to investigate the prevalence of MDD in Iranian men between 2011 and 2022.
Methods: The Medline, Embase, Scopus, Web of Sciences, PsycINfo, and Iranian databases were searched for studies published from January 2011 to December 2022. Two independent reviewers screened the observational studies conducted on men aged 15 years and older with MDD. The interested outcomes were the prevalence type of MDD.
Results: Data of 5 studies were included in the present meta-analysis. Among 10,667 participants in the study, 1479 (13.9%) individuals had a history of MDD. In the subgroup analysis, the average lifetime prevalence was 7.6% (95% confidence interval [CI]; 4.7 - 12.0%) and the point prevalence was 19.1% (95% confidence interval [CI]; 6.7 - 43.5%) based on random effect model. The 12-month prevalence was 10.8% (95% confidence interval [CI]; 9.8 - 11.9%) based on the single study.
Conclusion: Preventive and therapeutic programs are strongly recommended due to the high prevalence of major depression in Iranian men and the lack of sufficient studies in this field.
期刊介绍:
BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.