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A cluster-analytic approach towards multidimensional health-related behaviors in adolescents: the MoMo-Study

机译:青少年的多维健康相关行为的聚类分析方法:MoMo研究

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Background Although knowledge on single health-related behaviors and their association with health parameters is available, research on multiple health-related behaviors is needed to understand the interactions among these behaviors. The aims of the study were (a) to identify typical health-related behavior patterns in German adolescents focusing on physical activity, media use and dietary behavior; (b) to describe the socio-demographic correlates of the identified clusters and (c) to study their association with overweight. Methods Within the framework of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) and the “Motorik-Modul” (MoMo), 1,643 German adolescents (11–17 years) completed a questionnaire assessing the amount and type of weekly physical activity in sports clubs and during leisure time, weekly use of television, computer and console games and the frequency and amount of food consumption. From this data the three indices ‘physical activity’, ‘media use’ and ‘healthy nutrition’ were derived and included in a cluster analysis conducted with Ward’s Method and K-means analysis. Chi-square tests were performed to identify socio-demographic correlates of the clusters as well as their association with overweight. Results Four stable clusters representing typical health-related behavior patterns were identified: Cluster 1 (16.2%)—high scores in physical activity index and average scores in media use index and healthy nutrition index; cluster 2 (34.6%)—high healthy nutrition score and below average scores in the other two indices; cluster 3 (18.4%)—low physical activity score, low healthy nutrition score and very high media use score; cluster 4 (30.5%)—below average scores on all three indices. Boys were overrepresented in the clusters 1 and 3, and the relative number of adolescents with low socio-economic status as well as overweight was significantly higher than average in cluster 3. Conclusions Meaningful and stable clusters of health-related behavior were identified. These results confirm findings of another youth study hence supporting the assumption that these clusters represent typical behavior patterns of adolescents. These results are particularly relevant for the characterization of target groups for primary prevention of lifestyle diseases.
机译:背景技术尽管可以获得关于单个健康相关行为及其与健康参数的关联的知识,但仍需要对多个健康相关行为进行研究,以了解这些行为之间的相互作用。该研究的目的是(a)确定德国青少年典型的健康相关行为模式,重点是体育锻炼,媒体使用和饮食行为; (b)描述已识别聚类的社会人口统计相关性;(c)研究它们与超重的相关性。方法在德国儿童和青少年健康访问与检查调查(KiGGS)和“ Motorik-Modul”(MoMo)的框架内,1,643名德国青少年(11-17岁)完成了一份调查表,评估了每周体检的数量和类型在体育俱乐部和休闲时间进行活动,每周使用电视,计算机和游戏机以及食物的消费频率和数量。从这些数据中得出“体育活动”,“媒体使用”和“健康营养”这三个指标,并将其包括在使用沃德方法和K-均值分析进行的聚类分析中。进行卡方检验以识别聚类的社会人口统计学相关性以及它们与超重的关联。结果确定了四个代表典型的与健康相关的行为模式的稳定簇:簇1(16.2%)–体育活动指数高,媒体使用指数和健康营养指数平均分;第二类(34.6%)—健康营养评分高,其他两个指标均低于平均分;第3类(18.4%)-低体力活动评分,低健康营养评分和很高的媒体使用评分;类别4(30.5%)-低于所有三个指数的平均分数。在第1组和第3组中,男孩的比例过高,具有较低社会经济地位以及超重的青少年的相对数量显着高于第3组中的平均水平。结论结论是有意义和稳定的健康相关行为组。这些结果证实了另一项青年研究的结果,因此支持了以下假设:这些集群代表了青少年的典型行为模式。这些结果与主要预防生活方式疾病的目标人群的表征特别相关。

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