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Identifying Risk Profiles For Excessive Sedentary Behavior in Children Using Recursive Partitioning Based on Individual, Familial and Neighborhood Factors

Barnett, Tracie A; Conteras, Gisele; Van Hulst, Andraea; Mathieu, Marie-Ève; Henderson, Melanie . Identifying Risk Profiles For Excessive Sedentary Behavior in Children Using Recursive Partitioning Based on Individual, Familial and Neighborhood Factors In: Society for Epidemiological Research’s 2016 Epidemiology Congress of the Americas, 21-24 Juin 2016, Miami.

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Résumé

Sedentary behaviour (SB) is an important predictor of obesity in youth. We compared risk profiles from multiple levels of influence to predict excessive SB (≻50% waking hours) among children participating in the QUALITY cohort at ages 8-10 and 10-12 years.

Methods: QUALITY is an ongoing study of the natural history of obesity in Quebec youth. Physical activity (PA)and SB were measured using accelerometers, worn for >10 hours/day for at least 4 days. Complete data at both time points were available for 294 participants. Recursive partitioning analysis was performed using individual - (meeting PA guidelines of ≻60 min/day of moderate - to vigorous - intensity PA; screen time on weekdays and weekends), familial - (household income) and area - level (neighborhood disadvantage; nearby parks; density of dwellings; connec- tivity and land - use mix) factors. Groups that best predicted excessive SB, de- fined as ≻50% of waking hours at ≺100 counts/min, were identified.

Results: At 8 - 10 years, 5 variables were retained to build the classification tree: meeting PA guidelines, weekday screen time, dwelling density, nearby parks, and neigh- borhood disadvantage. The risk profile of the most sedentary group (73%) at ages of 8 - 10 years included: not meeting PA guidelines,≻2 hours of weekday screen time, low dwelling density, ≺4 nearby parks and high neighborhood disadvantage. In these same participants two years later only 3 variables were retained to build the classification tree: meeting PA guidelines, weekend screen time, and neighbourhood disadvantage. The risk profile of the most sedentary group (70%) was described by not meeting PA guidelines, ≻2 hours of weekend screen time, and living in low disadvantage neighborhoods.

Type de document: Document issu d'une conférence ou d'un atelier
Informations complémentaires: Affiche scientifique
Mots-clés libres: -
Centre: Centre INRS-Institut Armand Frappier
Date de dépôt: 22 juin 2018 01:59
Dernière modification: 22 juin 2018 01:59
URI: http://espace.inrs.ca/id/eprint/5766

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