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西峡县偏远地区学龄期留守儿童心理健康状态调查及影响因素 被引量:2

A survey of mental health status for school-age left-behind children in remote areas Xixia county and its influencing factors
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摘要 目的分析农村偏远地区学龄期留守儿童心理健康状态,以期为完善心理健康教育措施提供可靠依据。方法选取326例西峡县学龄期留守儿童作为调查对象,采用症状自评量表评定留守儿童的心理健康状态,并分析其影响因素。结果留守儿童症状自评量表评分为(186.97±18.35)分,高于非留守儿童(162.58±14.66)分(P<0.01);不同性别、家庭结构、年收入、独生子女状况、父亲文化程度、母亲文化程度留守儿童症状自评量表评分比较差异有统计学意义(P<0.05)。多元线性回归模型分析发现,性别、年收入、父亲文化程度、母亲文化程度、独生子女状况、家庭结构是留守儿童心理健康状况的影响因素(P<0.01)。结论西峡县学龄期留守儿童心理健康状态欠佳,受性别、家庭结构、年收入、独生子女状况、父亲文化程度、母亲文化程度等因素影响,可针对性制定干预措施以改善心理健康状态。 Objective To analyze the mental health status of school-age left-behind children in rural remote areas in order to provide a reliable basis for improving mental health education measures.Methods Mental health states were assessed with the Symptom Check-list 90(SCL-90)in 326 school-age left-behind children from Xixia county and influencing factors analyzed.Results The scores on the SCL-90 were higher in left-behind than in non-left-behind children(186.97±18.35 vs.162.58±14.66,P<0.05);the SCL-90 scores were different among left-behind children with different gender,family structure,annual income,status of only-child,father's and mother’s education background levels(P<0.05).Multiple linear regression model analysis showed that gender,annual income,parents’education levels,status of only-child and family structure were factors influencing the mental health status in left-behind children(P<0.01).Conclusion The mental health states of school-age left-behind children in Xixia county are poor and are influenced by gender,family structure,annual income,status of only-child,parents’education levels etc.,targeted intervening measures should be made to improve mental health status.
作者 惠萱子 牛银萍 王一鸣 王颖 张龙 孙国庆 Hui Xuanzi;Niu Yinping;Wang Yiming;Wang Ying;Zhang Long;Sun Guoqing(Nanyang Second People's Hospital,Nanyang 473000,Henan,China)
出处 《临床心身疾病杂志》 CAS 2023年第3期123-126,共4页 Journal of Clinical Psychosomatic Diseases
关键词 西峡县 学龄期 留守儿童 心理健康 影响因素 干预策略 Xixia county school age left-behind children mental health state influencing factors intervention strategies
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