尼日利亚东南部奥韦里伊莫州立大学医学生抑郁症的患病率和预测因素。

Oluoha R. U., Offiong A. A., Okafor P. N., Nwaigbo Ernest, Nwachukwu Ifeanyi
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引用次数: 0

摘要

背景:抑郁症已被认为是 21 世纪重大的公共卫生问题之一。以往的研究显示,与年龄匹配的非医学生相比,医学生的心理疾病发病率更高。 研究目的本研究评估了尼日利亚东南部奥韦里伊莫州立大学医学生抑郁症的患病率和预测因素。 方法: 以院校为单位进行横断面调查:采用系统抽样技术在 180 名医科学生中进行了一项基于院校的横断面调查。数据收集采用了预先测试的半结构化自填问卷。采用改良的抑郁、焦虑和压力量表(DASS - 21)对抑郁症患病率进行评估。数据使用社会科学统计软件包(SPSS)第 22 版进行分析。使用汇总指数、频率表和百分比进行描述性统计。变量之间的关联采用卡方检验和逻辑回归检验。P 值小于 0.05 视为具有统计学意义。 结果受访者的平均年龄为 26.9 ± 4.1 岁。只有 10.6% 的学生非常了解抑郁症,而社交媒体(45.9%)是主要的信息来源。本研究中抑郁症的患病率为 41.2%。体重指数(p < 0.0001)和使用精神活性物质(p < 0.0001)是与抑郁症明显相关的社会人口变量。超重(OR = 8.41)或肥胖(OR = 4.25)是抑郁症的重要预测因素。同样,经常(OR = 8.50)或总是(OR = 7.40)使用精神活性物质的受访者与不使用精神活性物质的受访者相比,患抑郁症的几率明显更高。 结论抑郁症是医学生中一个紧迫的公共卫生问题。有必要进行体制改革,以帮助解决医学生中的抑郁症问题。此外,大多数学生从社交媒体上获取有关抑郁症的信息,这表明他们没有充分接触精神病学。有鉴于此,应考虑对医学课程进行审查。
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Prevalence and Predictors of Depression among Medical Students of Imo State University, Owerri, South Eastern Nigeria.
Background: Depression has been recognized as one of the significant public health problems of the 21st century. Previous studies have revealed higher prevalence of psychological morbidity among medical students in comparison to their age – matched non – medical counterparts. Objective: This study evaluated the prevalence and predictors of depression among medical students of Imo State University, Owerri, South Eastern Nigeria. Methods: An institution based cross – sectional survey was conducted among 180 medical students selected using a systematic sampling technique. Data collection was with the aid of a pretested semi – structured self – administered questionnaire. Prevalence of depression was assessed using a modified Depression, Anxiety and Stress Scale (DASS – 21). Data was analysed using Statistical Package for Social Sciences (SPSS), version 22. Descriptive statistics was presented using summary indices, frequency tables and percentages. Associations between variables were done using the Chi –square and logistic regression. A p – value of < 0.05 was considered statistically significant. Results: The mean age of the respondents was 26.9 ± 4.1 years. Only 10.6% of the students were very well informed about depression with social media (45.9%) as the main source of information. The prevalence of depression in this study was 41.2%. Sociodemographic variables significantly associated with depression were body mass index (p < 0.0001) and psychoactive substance use (p < 0.0001). Being overweight (OR = 8.41) or obese (OR = 4.25) were significant predictors of depression. Likewise, respondents who often (OR = 8.50) or always (OR = 7.40) use psychoactive substances were significantly more likely to be depressed in comparison to those who do not. Conclusion: Depression is a burning public health problem among medical students. There is need for institutional reforms to help address depression among medical students. Also, majority of students getting information about depression from social media is indicative of the fact that they are not getting adequate exposure to Psychiatry. In view of this, review of the medical curriculum should be considered.
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