| 医学生健康危害行为的潜在类别及其与抑郁症状的关联 |
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| 引用本文： | 杨娅娟,徐洪吕,王颖,谢阳,邹立巍,李婷婷,陶舒曼,伍晓艳. 医学生健康危害行为的潜在类别及其与抑郁症状的关联[J]. 中国学校卫生, 2021, 42(4): 583-586,592. DOI: 10.16835/j.cnki.1000-9817.2021.04.024 |
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| 作者姓名： | 杨娅娟 徐洪吕 王颖 谢阳 邹立巍 李婷婷 陶舒曼 伍晓艳 |
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| 作者单位： | 1.安徽医科大学护理学院，合肥 230601 |
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| 基金项目： | 国家自然科学基金81773455国家自然科学基金81803257安徽省教育厅2019年度弘扬社会主义核心价值观名师工作室sztsjh2019-2-13安徽医科大学博士科研资助基金XJ201824 |
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| 摘 要： | 目的 识别医学生多种健康危害行为的潜在类别,并进一步分析不同潜类别与抑郁症状的关联.方法 采用方便抽样的原则,于2018年10月在安徽医科大学整群抽取2 014名医学生开展横断面调查.使用自编手机问卷,调查内容包括一般人口学资料、健康危害行为评价以及抑郁症状.采用潜在类别分析方法分析吸烟、饮酒、自杀、睡眠障碍、手机依赖...
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| 关 键 词： | 精神卫生 危险行为 抑郁 回归分析 学生 |
| 收稿时间： | 2020-10-08 |
Latent classes of health risk behaviors in medical students and depressive symptoms |
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| Affiliation: | 1.School of Nursing, Anhui Medical University, Hefei (230601), China |
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| Abstract: | Objective To identify the latent classes of various health risk behaviors among medical students and further analyze the correlation between different classes and depression. Methods Using the method of convenient sampling, 2 014 medical students were selected from Anhui Medical University in October 2018. Self-designed online questionnaire were used to collect demographic data, health risk behavior (including smoking, drinking, suicide, sleep disorders, mobile phone dependence and lack of exercise) and depressive symptoms. Latent Class Analysis was used to cluster individuals. Logistic regression was provided to further analyze the association between health risk behaviors and depressive symptoms for the groups. Results The health hazard behaviors of medical students could be divided into three separate classes: substance dependence group (8.4%), mobile phone dependence group (22.4%) and low-risk group (69.2%). The distribution of health risk behaviors of medical students with different gender, major, grade, only child, father's educational level, monthly living expenses, academic achievement and number of friends were statistically significant (χ2=99.37, 19.07, 12.05, 6.64, 14.28, 19.35, 20.61, 26.39, P < 0.05). The results of Logistic regression analysis showed that after adjusting for gender, major, grade, only child, father's educational level, monthly living expenses, academic achievement and number of friends, the mobile phone dependence group was positively correlated with depressive symptoms (β=1.75, P < 0.01). Conclusion Different ratent classes of health risk behaviors have different correlation with depressive symptoms in groups.It is suggested that school health workers should make individualized intervention plan for different types of health hazard behavior of medical students in the future educational activities, carry out stratified intervention, alleviate the symptoms of depression and promote the mental health of medical students. |
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