Dépôt numérique
RECHERCHER

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 et 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.

Ce document n'est pas hébergé sur EspaceINRS.

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: 16 juin 2023 15:59
URI: https://espace.inrs.ca/id/eprint/5766

Gestion Actions (Identification requise)

Modifier la notice Modifier la notice