性别对巴基斯坦奎达地区抑郁症患病率的影响

Maria Fátima, N. ul Haq, A. Nasim, M. Bibi, K. Ali, Nelofer Ereej, Rida Naveed
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引用次数: 0

摘要

背景:抑郁症是世界上最普遍和最令人衰弱的精神疾病之一。与男性相比,女性更容易患抑郁症。目的:本研究旨在探讨人群中抑郁症状的患病率以及性别与抑郁症状及严重程度的关系。研究设计:这是一项横断面研究,于2020年6月至2021年3月在奎达市的不同地区进行。方法:共有502名参与者(女性274名,男性228名),年龄从18岁到80岁不等。该研究使用了患者健康问卷(PHQ-9),该问卷已经通过验证(Cronbach 's alpha = 0.844),并可与问卷一起在线获取;某些人口统计学特征也被加入到抑郁症症状的测量中。SPSS版本26。采用均数、标准差、频率、百分比、卡方检验和Man Whitney U检验进行统计分析。结果:结果显示,316(63%)参与者报告有抑郁症状。在这316名参与者中,166人(33.1%)患有轻度抑郁症,87人(17.3%)患有中度抑郁症,63人(12.6%)患有重度抑郁症。在所有有抑郁症症状的人中,195人(61%)是女性。性别是影响抑郁症患病率的统计学特征,p < 0.01。结论:性别对抑郁症有显著影响,女性人数的增加表明女性比男性更容易患抑郁症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Gender on the Prevalence of Depression in the Population of Quetta, Pakistan
Background: Depression is one of the most prevalent and debilitating psychiatric disorders in the world. Women are more likely to suffer from depression compared with men. Aim: This study aimed to examine the prevalence of depression symptoms among the population and the relationships between gender and depressive symptoms along with severity level. Study Design: This was a cross-sectional study conducted from June 2020 to March 2021 in a different area of Quetta city. Methodology: A total of 502 participants (female 274, male 228) with ages ranging from 18 to 80 years. The study used Patient Health Questionnaires (PHQ-9) which are already validated (Cronbach’s alpha = 0.844) and available online, along with the questionnaire; certain demographic characteristics are also added to measure the symptoms of depression. SPSS Version 26. Mean, standard deviation, frequency, percentage, Chi-square test and Man Whitney U- test were applied for statistical analysis. Results: The results showed that 316 (63%) participants were reported having depressive symptoms. Of these 316 participants, 166 (33.1%) persons were suffering from mild, 87 (17.3%) from moderate, and 63 (12.6%) from severe depression symptoms out of all those who had symptoms of depression 195(61%) were female. Further it is disclosed that gender is statistically significant demographic characters that influence the prevalence of depression p < 0.01. Conclusion: Study concluded that gender had a significant role on depression and the increase number of females suggest that female having more depression as compare to males.
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