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首页> 外文期刊>International Journal of Behavioral Nutrition and Physical Activity >Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study
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Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study

机译:业余时间体育活动的不同轨迹和轨迹班级成员的预测因素:一项为期22年的队列研究

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Background Prospective studies linking social factors to long term patterns of physical activity are lacking. In this 22 year longitudinal study, we seek to identify long term patterns of involvement in leisure time physical activity (LTPA), and explore socioeconomic and demographic predictors of distinct LTPA trajectories. Methods Among 2102 individuals aged 18–60 years in 1981 who participated in the 1981 Canada Fitness Survey/1988 Campbell's Survey of Well-Being, 1186 (56.4%) completed questionnaires for the 2002/04 follow-up. Complete data on LTPA at all 3 surveys were available for 884 participants. Latent class growth analysis was used to identify major classes of LTPA trajectories; predictors of class membership were identified using polytomous logistic regression. Results Four latent classes were identified: inactive, increasers, active, and decreasers (53%, 26%, 12%, and 9% of participants, respectively). Women, older participants, those with lower household income, and with lower educational attainment, were significantly less likely to follow active (Vs. inactive) trajectories of LTPA. Disadvantaged groups with respect to education and income were also significantly more likely to follow decreasing (Vs. active) trajectories. Conclusion There is a need for continued efforts to increase overall population levels of LTPA, particularly among socially disadvantaged groups with respect to income and education, who are most likely to experience unfavorable trajectories of LTPA.
机译:背景技术缺乏将社会因素与长期体育锻炼模式联系起来的前瞻性研究。在这项为期22年的纵向研究中,我们寻求确定参与休闲时间体育活动(LTPA)的长期模式,并探索不同LTPA轨迹的社会经济和人口预测指标。方法在1981年参加1981加拿大健身调查/ 1988坎贝尔健康状况调查的2102位年龄在18-60岁的个体中,有1186位(56.4%)完成了2002/04年随访的问卷。共有884位参与者获得了所有3个调查的LTPA完整数据。潜在类别增长分析用于确定LTPA轨迹的主要类别。使用多因素Logistic回归确定班级成员的预测因子。结果确定了四个潜在类别:不活跃,增加者,活跃和减少者(分别为参与者的53%,26%,12%和9%)。妇女,年龄较大的参与者,家庭收入较低,受教育程度较低的妇女遵循LTPA的活跃(相对于非活跃)轨迹的可能性大大降低。在教育和收入方面处于不利地位的群体也更有可能遵循下降(相对于活跃)的轨迹。结论有必要继续努力增加LTPA的总体人口水平,特别是在收入和教育方面处于社会不利地位的群体中,他们最有可能经历LTPA的不利轨迹。

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