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Physical Activity Screen Time and Dietary Intake in Families: A Cluster-Analysis With Mother-Father-Child Triads

机译:家庭的体育锻炼筛查时间和饮食摄入量:母婴三元组的聚类分析

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>Background: The co-occurrence of multiple health behaviors such as physical activity, diet, and sedentary behavior affects individuals' health. Co-occurence of different health behaviors has been shown in a large number of studies. This study extended this perspective by addressing the co-occurrence of multiple health behaviors in multiple persons. The objective was to examine familial health behavioral patterns by (1) identifying clusters of families with similar behavior patterns and (2) characterizing the clusters by analyzing their correlates.>Methods: Cross-sectional data were collected from 198 families (mother, father, and child). Mothers, fathers, and children completed questionnaires assessing health related behaviors (physical activity, consumption of “healthy” and “unhealthy” foods, and screen time), the perception of Family Health Climate (regarding physical activity and nutrition) and demographics. Twelve variables (four health behaviors of three family members) were included in a cluster analysis conducted with Ward's Method and K-means analysis. Chi-square tests and analyses of variance were performed to characterize the family clusters regarding their demographics and their perception of Family Health Climate.>Results: Three clusters of families with specific behavioral patterns were identified: “healthy behavior families” with levels of physical activity and consumption of healthful foods above average and levels of media use and consumption of sweets below average; “unhealthy behavior families” with low levels of consumption of healthful foods and high levels of screen time; “divergent behavior families” with unhealthier behavioral patterns in parents and healthier screen time and eating behaviors combined with low physical activity levels in children. Family Health Climate differed between family clusters with most positive ratings in “healthy behavior families” and least positive ratings in “unhealthy behavior families.” “Divergent behavior families” rated the nutrition climate nearly as high as “healthy behavior families” while they rated the physical activity climate nearly as low as the “unhealthy behavior families.”>Conclusions: The study shows that co-occurrence of multiple health behaviors occurs on the family level. Therefore, focusing the family as a whole instead of individuals and targeting aspects related to the Family Health Climate in interventions could result in benefits for both children and adults and enhance effectivity of intervention programs.
机译:>背景:多种健康行为(例如体育锻炼,饮食和久坐行为)的共同发生会影响个人的健康。大量研究表明,同时存在不同的健康行为。这项研究通过解决多人同时出现多种健康行为而扩展了这一观点。目的是通过(1)识别具有相似行为模式的家庭聚类,以及(2)通过分析其相关性来表征家族健康状况。>方法:收集了198个家庭的横断面数据家庭(母亲,父亲和孩子)。母亲,父亲和孩子完成了问卷调查,以评估与健康有关的行为(体育活动,食用“健康”和“不健康”食品以及检查时间),对家庭健康气候的看法(关于体育活动和营养)以及人口统计信息。十二个变量(三个家庭成员的四个健康行为)包含在使用沃德方法和K均值分析进行的聚类分析中。进行卡方检验和方差分析,以描述有关其人口统计学和对家庭健康气候的看法的家庭集群。>结果:确定了三个具有特定行为模式的家庭集群:“健康行为家庭” “体育锻炼和健康食品的消费水平高于平均水平,媒体使用和糖果的消费水平低于平均水平;低健康食品消费水平和高筛选时间的“不健康行为家庭”;父母行为方式不健康,筛查时间和饮食行为更健康,儿童体育活动水平较低的“行为多样化家庭”。家庭健康状况在家庭集群之间有所不同,在“健康行为家庭”中得分最高,而在“不健康行为家庭”中得分最低。 “不同行为家族”对营养气候的评价几乎与“健康行为家族”的评价一样高,而对体育锻炼气候的评价则几乎与“不健康行为家族”的评价一样低。>结论: -在家庭一级发生多种健康行为。因此,将整个家庭而不是个人作为重点,并在干预中针对与家庭健康气候有关的方面,可能会给儿童和成人带来好处,并提高干预计划的有效性。

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