Author(s): Gamache I; Fagbemi K; Harnois-Leblanc S; Greenwood CMT; Henderson M; Van Hulst A; Timpson NJ; Manousaki D;

Aims/hypothesis: Dysglycaemia in youth results from complex interactions between genetic and environmental factors, yet their individual and combined contributions remain unclear. We aimed to: (1) evaluate the predictive performance of polygenic risk scores (PRSs) for glycaemic traits from childh ...

Article GUID: 41986816

Author(s): Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L;

Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population. Methods: Children's (= 17 years) DXA data in NHANES (n = 6120) were used to generate sex- and age-specific deciles of appendicular skeletal muscle mass inde ...

Article GUID: 40878792

Author(s): Van Hulst A; Zheng S; Argiropoulos N; Ybarra M; Ball GDC; Kakinami L;

The World Health Organization recommends using + 2 SD of body mass index z-score (zBMI) to define overweight/obesity (OWO) in children ages 2 to 5 years whereas + 1 SD is used as cut-point from 5 years onwards. Empirical evidence for using different cut-points across childhood is lacking. Our objective was to compare the ability of OWO in early childhood ...

Article GUID: 40140102

Author(s): Infantino E; Barnett TA; Côté-Lussier C; Van Hulst A; Henderson M; Mathieu ME; Sabiston C; Kakinami L;

Background: Physical characteristics and perceptions of an environment can have enduring effects on one's mental health. The present study aimed to determine whether a set of measures of neighborhood safety - independent built environment features, parents' perception of neighborhood safe ...

Article GUID: 39604905

Author(s): Kakinami L; Danieles PK; Hosseininasabnajar F; Barnett TA; Henderson M; Van Hulst A; Serbin LA; Stack DM; Paradis G;

Background: The longitudinal relation between parenting practices and styles with children's body mass index z-scores (zBMI) is poorly understood. Previous studies suggest the relationship may be complex, but small samples and short follow-ups diminish the strength of the evidence. The object ...

Article GUID: 37248489

Author(s): Van Hulst A; Jayanetti S; Sanson-Rosas AM; Harbec MJ; Kakinami L; Barnett TA; Henderson M;

Objective: Disorganised and chaotic home environments may hinder the adoption of healthy lifestyle behaviours and contribute to excessive weight gain among adolescents. We examined whether self-reported level of chaos within the family home environment is associated with lifestyle behaviours and ...

Article GUID: 36701326

Author(s): Roberge JB; Contreras G; Kakinami L; Van Hulst A; Henderson M; Barnett TA;

No abstract available

Article GUID: 35655311

Author(s): Roberge JB; Contreras G; Kakinami L; Van Hulst A; Henderson M; Barnett TA;

Background: The suitability of geospatial services for auditing neighbourhood features relevant to pediatric obesity remains largely unexplored. Our objectives were to (i) establish the measurement properties of a desk-based audit instrument that uses Google Street View ® to assess street- and neighbourhood-level features relevant to pediatric obesity (QU ...

Article GUID: 35346220

Author(s): Van Hulst A; Wills-Ibarra N; Nikiéma B; Kakinami L; Pratt KJ; Ball GDC;

Background: Impaired family functioning has been associated with obesity in children and adolescents, but few longitudinal studies exist. We examined whether family functioning from early to mid-childhood is associated with overweight and obesity in later childhood and adolescence. Methods: We examined data from the Quebec Longitudinal Study of Child Dev ...

Article GUID: 35075257

Author(s): Ybarra M; Danieles PK; Barnett TA; Mathieu MÈ; Van Hulst A; Drouin O; Kakinami L; Bigras JL; Henderson M;

Objectives: Obesity is the most prevalent risk factor for cardiovascular disease (CVD) in children. We developed a 2-year lifestyle intervention for youth at risk of CVD. We assessed changes in body mass index z-scores (zBMI) and key cardiometabolic risk factors, physical fitness, and capacity am ...

Article GUID: 34992701

Author(s): Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M;

Objectives: To confirm that World Health Organization weight-for-length z scores (zWFL) and World Health Organization body mass index z scores (zBMI) in infancy are associated with adiposity and cardiometabolic measures at 8-10 years old and to compare the predictive ability of the 2 methods. St ...

Article GUID: 34302856