台山市中学生心理健康状况趋势分析与影响因素研究

doi:10.12183/j.scjpm.2020.0333

Abstract

Abstract: Objective To understand current mental health status and explore changing trend and influencing factors of middle school students in Taishan City, so as to provide scientific basis of effective mental health education for middle school students. Methods Based on the “Mental Health Scale for Middle School Students” and “Health Risk Behavior Monitoring Questionnaire for Adolescents in Guangdong Province ”, multistage stratified cluster random sampling method was used to investigate the middle school students in Taishan City in 2016 and 2019 separately. Data were descriptively analyzed. Factors influencing health risk behaviors on mental health among middle school students in Taishan City were determined by multivariate logistic regression. Results A total of 1 901 middle school students in Taishan were surveyed in 2016 and 2019. In 2016, there were 979 students, including 556 boys and 423 girls. In 2019, there were 922 students, including 468 boys, and 454 girls. Their ages were 12-20 years, with an average age of 16 years. The incidence of mental health problems among the students in 2019 （39.15%） was higher than that in 2016 （31.87%）. The incidence of mental health problems of girls （40.48%） was higher than that of boys （31.05%）, that of senior high school students （45.30%） was higher than that of junior high school students （30.69%） and that of vocational middle school students （30.10%）（P<0.01 for all）. The average scores of mental health of girl students, high school students, and vocational middle school students in 2019 were higher than those in 2016 （P<0.05 or P<0.01）. Both in 2016 and 2019, students with behaviors of lack of exercise （OR=1.957, 2.333）, self injury （OR=2.144, 2.289）, suicidal ideation （OR=3.347, 3.270）, internet addiction （OR=4.185, 10.592）, unhealthy diet（OR=1.727）in 2016, gambling in 2019 （OR=2.034） had higher risk of mental health problems. Conclusion The incidence of mental health problems of middle school students in Taishan City showed an upward trend. Comprehensive interventions should be strengthened on health risk behaviors of the middle school students, to improve their mental health.

Key words: Middle school student, Mental health, Trend analysis, Influencing factor

CLC Number:

R179

WU Ying-hua, LIANG Qiao-ren, TAN Jian-feng, QU Ya-bin. Trend analysis and influencing factors of mental health status of middle school students in Taishan[J].South China Journal of Preventive Medicine, 2020, 46(4): 333-337.

References 15

[1]	陶芳标. 儿童少年卫生学[M]. 8版. 北京:人民卫生出版社, 2017:208-233.
[2]	傅小兰, 张侃. 中国国民心理健康发展报告(2017—2018)[M]. 北京:社会科学文献出版社, 2019:1-55.
[3]	王极盛, 李焰, 赫尔实. 中国中学生心理健康量表的编制及其标准化[J]. 社会心理科学, 1997, 46(4): 15-20.
[4]	蔡敏. 儿童心理健康护理探讨[J]. 国际中西医结合杂志, 2015, 3(1): 16-18.
[5]	马智杰, 郭继志, 杨淑香, 等. 潍坊市中学生心理健康状况及其影响因素分析[J]. 中国学校卫生, 2015, 36(12):1842-1844,1847.
[6]	徐凯. 性别角色冲突对中学生心理健康发展的影响[J]. 中国学校卫生, 2016, 37(7): 1046-1050.
[7]	吴翠平, 娄晓民, 戚珊, 等. 中学生心理健康状况及影响因素分析[J]. 中国公共卫生, 2011, 27(11): 1491-1492.
[8]	陈丽嫦,江海燕,卢文英,等.肇庆市区中职学生健康危险行为现况调查[J]. 华南预防医学, 2017,43(6):575-577.
[9]	张杰, 吴小波, 覃于洪. 中职护理学生心理健康与健康危险行为的关系研究[J]. 现代医药卫生, 2016, 32(20): 3130-3133.
[10]	王燕, 刘斌. 运动干预对中考应试群体心理健康的影响研究[J]. 西南师范大学学报(自然科学版), 2018, 43(2): 129-134.
[11]	姚兴. 体育锻炼投入与中学生主观幸福感的关系[J]. 体育科技文献通报, 2015, 23(6): 76-78.
[12]	李昌俊, 贾贺男, 左俊楠. 锻炼促进心理健康的效果、机制与展望[J]. 中国体育科技, 2015, 43(1): 132-139.
[13]	方姣, 孙莹, 陶芳标. 改革开放以来我国学校心理卫生服务的发展历程与困境突破[J]. 中国学校卫生, 2019, 40(9): 1281-1285,1288.
[14]	伍颖华,梁侨仼,曲亚斌,等.台山市中学生心理健康状况调查分析[J]. 华南预防医学,2018,44(1),87-90.
[15]	郁伟芬, 史新广. 中学生心理健康影响因素分析及对策[J]. 健康教育与健康促进, 2009, 4(1): 55-58.

Trend analysis and influencing factors of mental health status of middle school students in Taishan

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