尼日利亚西南部一家三甲医院国民健康保险门诊成年患者的抑郁症状和社会人口学相关因素评估。

Ayodeji Oluwaseun Ogungbemi, Babatunde Adeola Afolabi, Joshua Falade, Akindele Amos Ajayi, Adeola Olajumoke Ajayi, Adejare Adedire, Ibukunoluwa Victoria Falope, Olanrewaju Olayemi, Adebimpe Ajibola Afolabi, Oyinkansola Arin Ogungbemi, Seun Stephen Anjorin
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引用次数: 0

摘要

背景:抑郁症影响着各个年龄段、性别和社会经济背景的人群。抑郁症的社会人口学相关因素可能包括年龄、性别、教育水平、收入和婚姻状况等。这些因素,包括是否患有慢性疾病,已被证明会影响抑郁症的患病率和严重程度。本研究评估了在尼日利亚西南部一家三级医疗机构的国民健康保险诊所就诊的成年患者中抑郁症状的患病率及其与社会人口学相关因素和共病慢性病的关系:在 2023 年 4 月至 5 月期间开展了一项基于医院的描述性横断面研究,采用系统随机抽样技术招募了 250 名同意就诊的成年患者。受访者的社会人口学概况和对并发症的认识采用半结构式访谈问卷进行评估。抑郁症状采用患者健康问卷进行测定。数据使用 SPSS 20 版进行分析。自变量和因变量之间的关联强度采用卡方检验,P 值设为 结果:受访者的平均年龄为 38 岁:受访者的平均年龄为(38.96±13.096)岁(范围:18-80 岁)。女性有 159 人(63.6%)。抑郁症状的发生率为 44.8%。年龄、性别、婚姻状况、月收入、是否患有慢性疾病与抑郁症状之间存在统计学意义上的显著关联:结论:在国家医疗保险诊所就诊的成年患者中,抑郁症状的发病率为 44.8%。这些研究结果呼吁制定卫生政策,将心理健康纳入国家健康保险初级保健并予以加强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Depressive Symptoms and Sociodemographic Correlates of Adult Patients Attending a National Health Insurance Clinic at a Tertiary Hospital, Southwest Nigeria.

Background: Depression affects individuals across all age groups, genders, and socio-economic backgrounds. Socio-demographic correlates of depression may include factors such as age, gender, education level, income, and marital status. These factors, including the presence of chronic diseases, have been shown to impact the prevalence and severity of depression. This study assessed the prevalence of depressive symptoms and its association with socio-demographic correlates and co-morbid chronic medical conditions among adult patients attending a National Health Insurance Clinic of a tertiary health facility in Southwest Nigeria.

Methodology: A hospital-based descriptive cross-sectional study was conducted between April - May 2023 in which 250 consenting adult patients were recruited using a systematic random sampling technique. Respondents' information on socio-demographic profiles and awareness of co-morbid medical conditions were assessed using semi-structured interviewer-administered questionnaires. Depressive symptoms were determined using the Patient Health Questionnaire. Data were analyzed using SPSS version 20. The strength of the association between independent and dependent variables was measured using chi-square and the p-value was set as <0.05.

Results: The mean age of respondents was 38.96±13.096 years (range: 18-80 years). There were 159 (63.6%) females. The prevalence of depressive symptoms was 44.8%. There was a statistically significant association between age, gender, marital status, monthly income, presence of chronic diseases, and depressive symptoms.

Conclusion: The prevalence of depressive symptoms among adult patients attending the National health insurance clinic was 44.8%. These findings call for health policies to integrate and strengthen mental health in NHIA primary care.

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