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某中医药大学低年级学生亚健康状况及其相关因素分析
引用本文:李白坤,湛宇灿,李静,武松,杨洁,汪婷婷,朱继民.某中医药大学低年级学生亚健康状况及其相关因素分析[J].中华疾病控制杂志,2018,22(1):66-69.
作者姓名:李白坤  湛宇灿  李静  武松  杨洁  汪婷婷  朱继民
作者单位:安徽中医药大学公共卫生与全科医学教研室, 安徽 合肥 230038
基金项目:安徽高校人文社会科学研究重点项目(SK2015 A371,SK2017A0226);安徽省高校优秀青年人才支持计划项目(2014-077);安徽中医药大学探索性科研项目(2016ts021)
摘    要:目的 探讨医学高校低年级学生亚健康的发生情况及其相关因素,为在大学生中普及健康生活方式及科学干预亚健康提供参考数据。方法 问卷调查4 952名学生亚健康的发生情况及其成因,采用SPSS 21.0软件进行统计分析。结果 亚健康得分为14(7,27)分,检出率为38.1%,城镇学生的健康状况优于乡村(Z=-3.599,P<0.001);感觉疲劳(36.6%)、专注力低(29.6%)、记忆力差(28.1%)等是大学生亚健康的主要表现,亚健康得分高者的上述表现更严重。健康者的膳食情况(Z=-11.264,P<0.001)、体育活动(Z=-7.172,P<0.001)和不良事件数(Z=-14.207,P<0.001)等因素的得分均优于亚健康者。多因素Logistic回归分析显示,学习成绩(OR=1.647,95%CI:1.149~2.363,P=0.007)、体质指数(OR=1.117,95%CI:1.006~1.240,P=0.038)、不良事件数(OR=1.470,95%CI:1.154~1.874,P=0.002)和体育活动(OR=0.882,95%CI:0.790~0.985,P=0.026)等4个因素可能影响大学生亚健康的发生。结论 高校应密切关注大学生的健康状态,积极开展有针对性的干预活动。

关 键 词:亚健康    危险因素    医学生
收稿时间:2017-09-24

An analysis of lower grade students' state of sub-health and correlative factors in a university of Chinese medicine
Affiliation:Department of Public Health and General Medicine, Anhui University of Chinese Medicine, Hefei 230038, China
Abstract:Objective To explore the prevalence of lower grade students' sub-health and correlative factors in medical colleges with the purpose to formulate reference data for popularizing healthy lifestyle and scientific intervention of sub-health among college students. Methods A total of 4 952 students were surveyed by Questionnaire, SPSS 21.0 software was used for statistical analysis. Results The sub-health score was 14(7,27), with a detection rate of 38.1%, and the healthy status of students from towns was better than those from rural areas(Z=-3.599, P<0.001). The common symptoms of sub-health among college students were fatigue (36.6%), low concentration (29.6%) and poor memory (28.1%), which was even worse especially among those with higher sub-health score. The scores of diet(Z=-11.264, P<0.001), physical activities(Z=-7.172, P<0.001) and adverse events(Z=-14.207, P<0.001) of healthy people were better than those of sub-health. The results of multiple Logistic regression analysis showed that 4 factors influenced the sub-health status among the students, including academic achievement (OR=1.647, 95% CI:1.149-2.363, P=0.007), body mass index(OR=1.117, 95% CI:1.006-1.240, P=0.038), adverse events (OR=1.470, 95% CI:1.154-1.874, P=0.002) and physical activities (OR=0.882, 95% CI:0.790-0.985, P=0.026). Conclusion Universities should pay more attention to the health state of college students as well as actively conduct targeted intervention activities.
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