摘要
目的 了解内蒙古地区高中生不健康生活方式与焦虑症状的关联性,为预防高中生焦虑症状的发生提供科学依据.方法 于2023年9-11月,采用分层整群随机抽样方法在内蒙古地区12个盟市(103个旗县)抽取35 362名高中生,采用学生健康状况及影响因素调查表进行调查.采用x2检验和多元Logistic回归分析焦虑症状的相关因素.结果 焦虑症状的学生共2 747名,检出率为7.77％.多元Logistic回归分析结果显示,女生、父亲学历为本科及以上、从不吃早餐、超重肥胖、每日睡眠时间＜8 h、过去30 d被父母打骂、抑郁症状与高中生焦虑症状均呈正相关(OR值分别为1.31,1.23,1.53,1.14,1.22,1.51,28.92);不吸烟、不饮酒、无网络成瘾、无医生许可不使用镇静剂与高中生焦虑症状均呈负相关(OR值分别为0.84,0.73,0.57,0.40)(P值均＜0.05).结论 高中学生焦虑症状与不健康的生活方式相关.应采取相应措施改善高中生不健康的生活方式,降低高中生焦虑症状的发生.
Abstract
Objective To analyse the correlation between unhealthy lifestyles and anxiety symptoms among high school students in Inner Mongolia Region,so as to provide a scientific basis for the prevention of anxiety symptoms among high school students.Methods From September to November 2023,35 362 high school students were selected by stratified cluster random sampling method from 12 cities(103 counties)in Inner Mongolia Region,and the survey was conducted by using the questionnaire on student health status and influencing factors.The x2 test and multivariate Logistic regression analyses were used to determine the in-fluencing factors of anxiety symptoms.Results The total number of students with anxiety symptoms was 2 747,and the detection rate of anxiety symptoms was 7.77％.The results of multivariate Logistic regression analyses showed that female students,father having higher education background,never eating breakfast,being overweight and obese,sleeping＜8 h/d,being scolded by par-ents in the past 30 days,and depressive symptoms were positively correlated with the anxiety symptoms of the high school students(OR=1.31,1.23,1.53,1.14,1.22,1.51,28.92);non-smoking,having no alcohol consumption,no Internet addiction and no use of sedatives without doctor's permission were all negatively correlated with anxiety symptoms of high school students(OR=0.84,0.73,0.57,0.40)(P＜0.05).Conclusions Anxiety symptoms of high school students are closely related to unhealthy lifestyle.Measures should be taken to improve unhealthy lifestyle,so as to reduce the occurrence of anxiety symptoms in high school students.
NETL
NSTL
万方数据