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基于健康生态学模型的安徽省初中生抑郁症状的相关因素研究
吴静, 陈国平, 张昱堃, 仰阳, 王宇婷, 黄季祥, 梅学农
安徽预防医学杂志 ›› 2026, Vol. 32 ›› Issue (1) : 12-18.
PDF(985 KB)
PDF(985 KB)
基于健康生态学模型的安徽省初中生抑郁症状的相关因素研究
Associated factors of depressive symptoms among junior high school students in Anhui Province based on the health ecology model
目的 基于健康生态学模型多层次探讨安徽省初中生抑郁症状的相关因素,为识别和干预初中生的抑郁症状提供参考依据。方法 于2024年9—11月,采用分层整群随机抽样的方法选取安徽省初中生为研究对象开展问卷调查。采用流调中心用抑郁量表评估学生的抑郁症状,根据健康生态学模型中个人特质层、行为特征层、人际网络层、生活和学习条件层、政策环境层5个维度确定自变量,运用logistic回归分析初中生抑郁症状的相关因素。结果 共纳入安徽省初中生3 299名,抑郁症状检出率为17.88%。logistic回归分析结果显示,个人特质层中女性(OR=2.747,95%CI:2.233~3.379)、初二(OR=1.308,95%CI:1.019~1.680)和初三(OR=1.763,95%CI:1.376~2.259),行为特征层中饮酒(OR=2.132,95%CI:1.636~2.778),人际网络层中遭受校园欺凌经历(OR=4.827,95%CI:3.914~5.953),生活和学习条件层中民办学校(OR=1.367,95%CI:1.056~1.772)与初中生抑郁症状呈正相关;行为特征层中每周中高强度身体活动频率≥3天(OR=0.767,95%CI:0.616~0.956)、睡眠充足(OR=0.453,95%CI:0.337~0.608),人际网络层中郊县(OR=0.593,95%CI:0.473~0.744)、核心家庭(OR=0.678,95%CI:0.547~0.841),政策环境层中学校制定心理疾病干预方案(OR=0.376,95%CI:0.264~0.536)与初中生抑郁症状呈负相关。结论 安徽省初中生抑郁症状检出率的影响因素涉及健康生态学模型的多个层面,应从个人、行为、环境、政策等多维度联合采取干预措施,减少初中生抑郁症状的发生。
Objective To explore the factors associated with depressive symptoms among junior high school students in Anhui Province using a multi-level analysis based on the health ecology model, in order to provide reference for identifying and intervening in depressive symptoms among this population. Methods From September 2024 to November 2024, a stratified cluster random sampling method was employed to select junior high school students in Anhui Province as research subjects for questionnaire surveys. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Independent variables were determined based on five dimensions of the health ecology model: individual traits, behavioral characteristics, interpersonal networks, living and learning conditions, and policy environment. Logistic regression analysis was employed to identify factors associated with depressive symptoms among junior high school students. Results A total of 3 299 junior high school students in Anhui Province were included, and the detection rate of depressive symptoms was 17.88%. Logistic regression analysis revealed that within the individual traits dimension, female (OR=2.747, 95%CI: 2.233-3.379), the second year of junior high school (OR=1.308, 95%CI: 1.019-1.680) and the third year of junior high school (OR=1.763, 95%CI: 1.376-2.259), alcohol consumption (OR=2.132, 95%CI: 1.636-2.778) in the behavioral characteristics dimension, experiencing school bullying (OR=4.827, 95%CI: 3.914-5.953) in the interpersonal network dimension, and attending a private school (OR=1.367, 95%CI: 1.056-1.772) in the living and learning conditions dimension, were positively associated with depressive symptoms among junior high school students. At the behavioral characteristics level, engaging in moderate-to-vigorous physical activity ≥3 days per week (OR=0.767, 95%CI: 0.616-0.956) and sufficient sleep (OR=0.453, 95%CI: 0.337-0.608) were negatively associated with depressive symptoms. At the interpersonal network level, suburban/rural residence (OR=0.593, 95%CI: 0.473-0.744) and nuclear family structure (OR=0.678, 95%CI: 0.547-0.841), and at the policy environment level, the schools implementing mental health intervention programs (OR=0.376, 95%CI: 0.264-0.536) were negatively associated with depressive symptoms among junior high school students. Conclusions The influencing factors of the detection rate of depressive symptoms among junior high school students in Anhui Province involve multiple levels of the health ecological model. Multi-dimensional interventions integrating individuals, behaviors, environment, and policies are necessary to reduce the incidence of depressive symptoms among junior high school students.
抑郁症状 / 初中生 / 健康生态学模型 / 相关因素 / 横断面研究
Depressive symptoms / Junior high school students / Health ecology model / Influencing factors / Cross-sectional study
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利益冲突声明 陈国平为《安徽预防医学杂志》编委,未参与审稿与编辑工作,其他作者声明无利益冲突
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