Keyword search (4,164 papers available)

"Van Hulst A" Authored Publications:

Title Authors PubMed ID
1 Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L; 40878792
SOH
2 Overweight and obesity in early childhood and obesity at 10 years of age: a comparison of World Health Organization definitions Van Hulst A; Zheng S; Argiropoulos N; Ybarra M; Ball GDC; Kakinami L; 40140102
SOH
3 Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression Infantino E; Barnett TA; Côté-Lussier C; Van Hulst A; Henderson M; Mathieu ME; Sabiston C; Kakinami L; 39604905
SOH
4 The longitudinal effects of maternal parenting practices on children's body mass index z-scores are lagged and differential Kakinami L; Danieles PK; Hosseininasabnajar F; Barnett TA; Henderson M; Van Hulst A; Serbin LA; Stack DM; Paradis G; 37248489
PERFORM
5 Adolescents' reports of chaos within the family home environment: Investigating associations with lifestyle behaviours and obesity Van Hulst A; Jayanetti S; Sanson-Rosas AM; Harbec MJ; Kakinami L; Barnett TA; Henderson M; 36701326
PERFORM
6 Correction: Validation of desk‑based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort Roberge JB; Contreras G; Kakinami L; Van Hulst A; Henderson M; Barnett TA; 35655311
PERFORM
7 Validation of desk-based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort Roberge JB; Contreras G; Kakinami L; Van Hulst A; Henderson M; Barnett TA; 35346220
PERFORM
8 Associations between family functioning during early to mid-childhood and weight status in childhood and adolescence: findings from a Quebec birth cohort Van Hulst A; Wills-Ibarra N; Nikiéma B; Kakinami L; Pratt KJ; Ball GDC; 35075257
PERFORM
9 Promoting healthy lifestyle behaviours in youth: Findings from a novel intervention for children at risk of cardiovascular disease Ybarra M; Danieles PK; Barnett TA; Mathieu MÈ; Van Hulst A; Drouin O; Kakinami L; Bigras JL; Henderson M; 34992701
PERFORM
10 Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M; 34302856
PERFORM
11 Personal Social Networks and Adiposity in Adolescents: A Feasibility Study Ybarra M; Barnett TA; Yu J; Van Hulst A; Drouin O; Kakinami L; Saint-Charles J; Henderson M; 34264758
MATHSTATS
12 Determinants of attrition in a pediatric healthy lifestyle intervention: The CIRCUIT program experience Danieles PK; Ybarra M; Van Hulst A; Barnett TA; Mathieu MÈ; Kakinami L; Drouin O; Bigras JL; Henderson M; 33608233
PERFORM
13 Neighbourhoods and obesity: A prospective study of characteristics of the built environment and their association with adiposity outcomes in children in Montreal, Canada Ghenadenik AE; Kakinami L; Van Hulst A; Henderson M; Barnett TA; 29462654
PERFORM

 

Title:Personal Social Networks and Adiposity in Adolescents: A Feasibility Study
Authors:Ybarra MBarnett TAYu JVan Hulst ADrouin OKakinami LSaint-Charles JHenderson M
Link:https://pubmed.ncbi.nlm.nih.gov/34264758/
DOI:10.1089/chi.2020.0343
Publication:Childhood obesity (Print)
Keywords:adolescentsphysical activitysocial network analysissocial supportweight status
PMID:34264758 Category: Date Added:2021-07-15
Dept Affiliation: MATHSTATS
1 Research Center of Sainte Justine University Hospital, Université de Montréal, Montréal, Québec, Canada.
2 Department of Family Medicine, McGill University, Montréal, Québec, Canada.
3 Epidemiology and Biostatistics Unit, Center Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique, Université du Québec, Laval, Québec, Canada.
4 Ingram School of Nursing, McGill University, Montreal, Québec, Canada.
5 Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada.
6 Department of Mathematics and Statistics, Concordia University, Montreal, Québec, Canada.
7 Institut Santé et Société, Université du Québec à Montréal, Montréal, Québec, Canada.
8 Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montréal, Québec, Canada.

Description:

i>Background and Objective: Weight-related behaviors are determined by multiple individual and contextual factors, with recent evidence implicating personal social networks (PSNs). Greater understanding of these relationships could help inform healthy weight promoting interventions. We conducted a feasibility study among youth at risk of obesity to document process outcomes, to discern relationships between PSN features and weight-related behaviors, and to generate hypotheses with respect to perceived social support (SS) and sex. Methods: Participants (egos) nominated up to 10 people (alters) with whom they discussed important matters. Egos reported their own and each alter's age, sex, body shape, lifestyle behaviors, relation, frequency of exercising with each alter, and of being encouraged by each alter to exercise. We examined relationships between PSN features and weight-related outcomes and explored the role of SS, using both correlational and linear regression analyses. Results: There were 45 participants (mean age 16.4 years) and body mass index z-score (zBMI) ranged from -1.2 to 3.9. There were few missing responses to PSN items; broad variation across most items, including SS scores, was reported. Correlations pointed to plausible relationships implicating PSN features and lifestyle behaviors. In exploratory analyses, network-based SS was positively associated with adiposity in girls and negatively associated in boys, while lifestyle role modelling was not associated with adiposity. Conclusions: Our findings support the feasibility of measuring the PSN in youth and the potential for using social network analysis to investigate social and behavioral mechanisms associated with obesity.





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