2016
DOI: 10.1111/ijpo.12196
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The adiposity of children is associated with their lifestyle behaviours: a cluster analysis of school‐aged children from 12 nations

Abstract: Children from different sites clustered into groups of similar lifestyle behaviours. Cluster membership was linked with differing adiposity. Findings support the implementation of activity interventions in all countries, targeting both physical activity and sedentary time.

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Cited by 62 publications
(67 citation statements)
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“…Despite the possibility of this bias, the direction of the target association gains greater relevance if one considers that lifestyle-related behaviors like diet, physical activity, and sedentary behavior generally tend to converge in harmful paths for health 32 . Studies have shown that increased prevalence rates of excess weight are seen in children and adolescents that display clusters of behaviors, including the combination of less physical activity and more sedentary behavior 33 , plus more screen time and less nighttime sleep, less average dinner time duration, and fewer outdoor games 34 . Another possible limitation to the study is the lack of information on cellphone use in the 2015 edition of the PeNSE survey.…”
Section: (N = 102072)mentioning
confidence: 99%
“…Despite the possibility of this bias, the direction of the target association gains greater relevance if one considers that lifestyle-related behaviors like diet, physical activity, and sedentary behavior generally tend to converge in harmful paths for health 32 . Studies have shown that increased prevalence rates of excess weight are seen in children and adolescents that display clusters of behaviors, including the combination of less physical activity and more sedentary behavior 33 , plus more screen time and less nighttime sleep, less average dinner time duration, and fewer outdoor games 34 . Another possible limitation to the study is the lack of information on cellphone use in the 2015 edition of the PeNSE survey.…”
Section: (N = 102072)mentioning
confidence: 99%
“…Other studies, however, have observed no such association [6]. Nonetheless, most previous studies had cross-sectional designs, only a few used adiposity-specific indicators, and few have considered sleep [14][15][16], although insufficient sleep duration is recognized as an important risk factor for OW-OB [17] and interactions have been shown with TV use, PA and eating behaviors [4,18]. Moreover, few cluster studies have included variables capturing contextual information, in particular eating-or sleep-related routines [14,19], although these data may provide additional useful information for developing targeted interventions.…”
Section: Introductionmentioning
confidence: 98%
“…Although the relationship between long sleep duration and health-related behaviors has not been studied in depth, it seems that longer sleepers are more likely to report less screen time [8] and low PA levels [16]. Clustering sleep duration with other health-related behaviors may therefore contribute to a better understanding of health-related behavioral profiles in adolescents [17][18][19].The clustering pattern of PA, ST, sleep duration, diet quality, and sedentary screen time among children from 12 countries has been recently identified [20,21]. The retained profiles among children were characterized by: (a) mostly healthy behaviors (e.g., high PA, low sedentary screen time, healthy diet, and moderate/high ST), (b) mostly risk behaviors (e.g., low PA, moderate sedentary screen time, unhealthy diet, and high ST), and (c) co-occurrence of healthy and unhealthy behaviors (e.g., high PA, high sedentary screen time, high ST, and healthy, and unhealthy diet).…”
mentioning
confidence: 99%