大学生体力活动、心肺耐力与抑郁风险关系的纵向研究  被引量:14

Longitudinal study of physical activity,cardiorespiratory fitness and risk of depression among college students

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作  者:李秋利[1] 关尚一[1] 张少生[1] 

机构地区:[1]广州医科大学基础学院,广东广州510182

出  处:《山东体育学院学报》2015年第4期78-82,共5页Journal of Shandong Sport University

基  金:广州市属高校科研项目(10A316)

摘  要:目的:探讨大学生体力活动、心肺耐力、抑郁风险三者之间的关系。方法:采用国际体力活动问卷(IPAQ)、体质健康测试和抑郁筛选量表(CES-D量表)对1 067名在校大学生(其中男生518人,女生549人)体力活动、体质健康水平和抑郁水平进行了评估,研究采用纵向研究设计,追踪测量持续两年时间,每隔1年测量一次,采用潜变量增长模型和Logistic回归对所测得的数据进行分析。结果发现,经过年龄、BMI、独生子女、父母文化程度、自评家庭经济、肺活量等可能的混杂因素校正后,体力活动水平每下降10 MET-min/d可以引起男生抑郁事件的发生风险率增加1.1%(OR=1.011),女生抑郁事件发生风险率增加2.1%(OR=1.021);耐力跑成绩每增加10秒的可以引起男生抑郁事件的发生风险率增加1.5%(OR=1.015),女生抑郁事件发生风险率增加6.3%(OR=1.063)。结论:大学生体力活动水平、心肺耐力与抑郁风险之间的关系密切,提高体力活动水平、心肺耐力水平能有效地降低抑郁风险。Objective: To determine the relations between physical activity,cardiorespiratory fitness and depressive symptoms among college students. Methods: The sample included 518 males and 549 females. International Physical Activity Questionnaire( IPAQ),fitness test and Center for Epidemiologic Studies Depression Scale( CES- D) were used to measure physical activity,cardiorespiratory fitness and depression respectively for 3 times in 2 years longitude study. Latent Growth Modeling and Logistic regression were used to assess the data. Results: After adjustment for age,BMI,time between visits,parents' education level,family financial condition and lung capacity,each 10MET- min / d decline in physical activity level,increased the odds of depression risk by approximately 1.1% in men and 2. 1% in women. Each 10 seconds increase in cardiorespiratory fitness test( 1000 m run for men and 800 m run for women),increased the odds of depression risk by approximately1. 5% in men and 6. 3% in women. Conclusion: There was a close relation between physical activity,cardiorespiratory fitness and depressive symptoms among college students. To improve physical activity and cardiorespiratory fitness can decrease depression risk of college students.

关 键 词:体力活动 心肺耐力 抑郁 纵向研究 

分 类 号:G804.3[文化科学—运动人体科学]

 

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