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预防医学  2024, Vol. 36 Issue (6): 474-478    DOI: 10.19485/j.cnki.issn2096-5087.2024.06.004
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中学生健康危险行为潜在类别与抑郁症状的关联分析
孙强1, 李小勇1, 龚清海2, 潘文杰3, 黄艳4
1.宁波市鄞州区疾病预防控制中心健康教育与慢性病防制科,浙江 宁波 315100;
2.宁波市疾病预防控制中心,浙江 宁波 315010;
3.鄞州区第三医院,浙江 宁波 315191;
4.宁波大学附属人民医院,浙江 宁波 315100
Association between latent class of health-risk behaviors and depressive symptoms among middle school students
SUN Qiang1, LI Xiaoyong1, GONG Qinghai2, PAN Wenjie3, HUANG Yan4
1. Department of Health Education and Chronic Disease Control, Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang 315100, China;
2. Ningbo Center for Disease Control and Prevention, Ningbo, Zhejiang 315010, China;
3. The Third Hospital of Yinzhou, Ningbo, Zhejiang 315191, China;
4. Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang 315100, China
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摘要 目的 探讨中学生健康危险行为潜在类别与抑郁症状的关系,为预防和干预中学生抑郁症状提供依据。方法 采用多阶段分层整群抽样方法抽取浙江省宁波市鄞州区2所初中、2所高中和1所职业高中的在校学生进行问卷调查,收集人口学信息、健康相关行为等资料,采用流调中心抑郁量表调查抑郁症状;分析学生健康危险行为的潜在类别,并采用多因素logistic回归模型分析健康危险行为潜在类别与抑郁症状的关系。结果 调查1 247人,男生641人,占51.40%;女生606人,占48.60%。初中452人,占36.25%;高中532人,占42.66%;职业高中263人,占21.09%。潜在类别分析分为行为健康组(52.93%)、饮食不良组(39.94%)和行为高危组(7.14%),抑郁症状检出率分别为7.12%、18.88%和52.81%,差异有统计学意义(P<0.05)。多因素logistic回归分析结果显示,调整年龄、性别、籍贯、独生子女和住校因素后,与行为健康组相比,饮食不良组(OR=3.107,95%CI:2.086~4.627)、行为高危组(OR=15.401,95%CI:9.031~26.262)发生抑郁症状的风险较高。结论 健康危险行为高危、饮食不良可能增加中学生抑郁症状发生风险。
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孙强
李小勇
龚清海
潘文杰
黄艳
关键词 中学生健康危险行为抑郁症状潜在类别分析    
AbstractObjective To analyze the association between latent class of health-risk behaviors and depressive symptoms among middle school students, so as to provide the evidence for the prevention and intervention of depressive symptoms among middle school students. Methods Students in two junior high schools, two senior high schools and one vocational high school in Yinzhou District, Ningbo City, Zhejiang Province, were selected using a stratified multi-stage cluster sampling method. Demography and health-risk behaviors were collected using questionnaire surveys, depressive symptoms were investigated using the Center for Epidemiological Studies Depression-10 Scale, and latent class analysis was conducted for health-risk behaviors. The association between different latent classes and depressive symptoms was analyzed using a multivariable logistic regression model. Results A total of 1 247 students were surveyed, including 641 boys (51.40%) and 606 girls (48.60%). There were 452 junior high school students (36.25%), 532 high school students (42.66%) and 263 vocational high school students (21.09%). Latent class analysis showed that health-risk behaviors in students were classified into three groups, namely healthy behavior group (52.93%), poor diet group (39.94%) and high-risk behavior group (7.14%), and the detection rates of depressive symptoms were 7.12%, 18.88% and 52.81%, respectively, with a statistically significant difference between groups (P<0.05). Multivariable logistic regression analysis showed that after adjusting for age, gender, native place, only child and living on campus, the poor diet group (OR=3.107, 95%CI: 2.086-4.627) and high-risk behavior group (OR=15.401, 95%CI: 9.031-26.262) had higher risks of depressive symptoms compared with the healthy behavior group. Conclusion Having high-risk behaviors and poor diet may increase the risk of developing depressive symptoms among middle school students.
Key wordsmiddle school students    health-risk behavior    depressive symptoms    latent class analysis
收稿日期: 2024-03-15      修回日期: 2024-05-11      出版日期: 2024-06-10
中图分类号:  R193.3  
基金资助:宁波市科技公益类项目(2022S077); 浙江省基础公益研究计划项目(LTGY24H260007)
作者简介: 孙强,硕士,医师,主要从事学校卫生工作
通信作者: 黄艳,E-mail:75688884@qq.com   
引用本文:   
孙强, 李小勇, 龚清海, 潘文杰, 黄艳. 中学生健康危险行为潜在类别与抑郁症状的关联分析[J]. 预防医学, 2024, 36(6): 474-478.
SUN Qiang, LI Xiaoyong, GONG Qinghai, PAN Wenjie, HUANG Yan. Association between latent class of health-risk behaviors and depressive symptoms among middle school students. Preventive Medicine, 2024, 36(6): 474-478.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2024.06.004      或      http://www.zjyfyxzz.com/CN/Y2024/V36/I6/474
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