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可改变的生活方式行为模式、久坐时间和身体活动环境:SALTA 研究中男女中学生的聚类分析。

Modifiable lifestyle behavior patterns, sedentary time and physical activity contexts: a cluster analysis among middle school boys and girls in the SALTA study.

机构信息

Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport Science, University of Porto, Porto, Portugal.

出版信息

Prev Med. 2013 Jun;56(6):413-5. doi: 10.1016/j.ypmed.2013.02.026. Epub 2013 Apr 6.

DOI:10.1016/j.ypmed.2013.02.026
PMID:23567246
Abstract

OBJECTIVE

To analyze how modifiable health-related variables are clustered and associated with children's participation in play, active travel and structured exercise and sport among boys and girls.

METHODS

Data were collected from 9 middle-schools in Porto (Portugal) area. A total of 636 children in the 6th grade (340 girls and 296 boys) with a mean age of 11.64 years old participated in the study. Cluster analyses were used to identify patterns of lifestyle and healthy/unhealthy behaviors. Multinomial logistic regression analysis was used to estimate associations between cluster allocation, sedentary time and participation in three different physical activity (PA) contexts: play, active travel, and structured exercise/sport.

RESULTS

Four distinct clusters were identified based on four lifestyle risk factors. The most disadvantaged cluster was characterized by high body mass index, low high-density lipoprotein cholesterol and cardiorespiratory fitness and a moderate level of moderate to vigorous PA. Everyday outdoor play (OR=1.85, 95%CI 0.318-0.915) and structured exercise/sport (OR=1.85, 95%CI 0.291-0.990) were associated with healthier lifestyle patterns. There were no significant associations between health patterns and sedentary time or travel mode.

CONCLUSION

Outdoor play and sport/exercise participation seem more important than active travel from school in influencing children's healthy cluster profiles.

摘要

目的

分析可改变的健康相关变量如何聚类,并与男孩和女孩的游戏、积极出行和有组织的锻炼和运动参与相关。

方法

数据来自波尔图(葡萄牙)地区的 9 所中学。共有 636 名六年级学生(340 名女生和 296 名男生)参与了研究,平均年龄为 11.64 岁。使用聚类分析来识别生活方式和健康/不健康行为模式。使用多项逻辑回归分析来估计聚类分配、久坐时间与三种不同身体活动(PA)环境(游戏、积极出行和有组织的锻炼/运动)参与之间的关联。

结果

根据四个生活方式风险因素确定了四个不同的聚类。最不利的聚类特点是身体质量指数高、高密度脂蛋白胆固醇和心肺适能低以及中等到剧烈体力活动水平适中。日常户外游戏(OR=1.85,95%CI 0.318-0.915)和有组织的锻炼/运动(OR=1.85,95%CI 0.291-0.990)与更健康的生活方式模式相关。健康模式与久坐时间或出行方式之间没有显著关联。

结论

户外游戏和运动/锻炼参与似乎比从学校积极出行更能影响儿童的健康聚类特征。

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