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Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression

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


Weight-control compensatory behaviors patterns and correlates: a scoping review

Author(s): Yuan TY; Bouzari N; Bains A; Cohen TR; Kakinami L;

Objective: Weight-control compensatory behaviors appear to be a commonly utilized strategy for health management. Individuals engaging in such behaviors believe that the negative consequences from unhealthy behaviors will be neutralized by the positive consequences of healthy behaviors. Existing research has not reached a consensus on whether such behavio ...

Article GUID: 39469249


Adiposity and cardiac autonomic function in children with a family history of obesity

Author(s): Saade MB; Holden S; Kakinami L; McGrath JJ; Mathieu MÈ; Poirier P; Barnett TA; Beaucage P; Henderson M;

Purpose: Data on associations between adiposity and heart rate variability (HRV) in prepubertal children are limited. We examined the associations between adiposity indices and HRV, independent of lifestyle behaviors, comparing multiple indicators of adiposity, and explored differences between bo ...

Article GUID: 39304555


Arthritis is associated with high nutritional risk among older Canadian adults from the Canadian Longitudinal Study on Aging

Author(s): Bennett R; Demmers TA; Plourde H; Arrey K; Armour B; Ferland G; Kakinami L;

This study assessed the association between arthritis, functional impairment, and nutritional risk (NR). Cross-sectional data were from the Canadian Longitudinal Study on Aging, a nationally representative sample of 45-85-year-old community-dwelling Canadians (n = 41,153). The abbreviated Seniors in the Community: Risk Evaluating for Eating and Nutrition ...

Article GUID: 38734730


Children and chrono-exercise: Timing of physical activity on school and weekend days depends on sex and obesity status

Author(s): Reid RER; Henderson M; Barnett TA; Kakinami L; Tremblay A; Mathieu ME;

Recommendations for physical activity (PA) typically focus on frequency, intensity, duration, and type, but timing (chrono-exercise) is also important. The objective of this study is to describe when children are active on school and weekend days and explore PA timing across sex and body mass index (BMI) categories. 359 children (53% male), aged 9.6 (0.9) ...

Article GUID: 38083868


Compensatory health motivations and behaviors scale: Development, evaluation, psychometric properties and a preliminary validation

Author(s): Sedemedes K; Knäuper B; Sadikaj G; Yuan TY; Wrosch C; Santosa S; Alberga AS; Kakinami L;

The "Compensatory Health Beliefs" scale assesses the degree to which one believes that unhealthy behaviours can be compensated through healthier ones. However, no validated scale to assess compensatory weight-related behaviors exists. The study's objective was to develop (Study 1) and validate (Study 2) a questionnaire measuring compensatory health mo ...

Article GUID: 37804879


The longitudinal effects of maternal parenting practices on children's body mass index z-scores are lagged and differential

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


Adolescents' reports of chaos within the family home environment: Investigating associations with lifestyle behaviours and obesity

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


Body-composition phenotypes and their associations with cardiometabolic risks and health behaviours in a representative general US sample

Author(s): Kakinami L; Plummer S; Cohen TR; Santosa S; Murphy J;

Body mass index is poor at distinguishing between adiposity and muscle. Based on dual energy X-ray absorptiometry data, a diagnostic framework to analyze body composition by categorizing fat- and muscle-mass body composition into four phenotypes has been proposed. The objective of this study was to assess the association between body-composition phenotype ...

Article GUID: 36183799


Insomnia disorder increases the risk of subjective memory decline in middle-aged and older adults: a longitudinal analysis of the Canadian Longitudinal Study on Aging

Author(s): Zhao JL; Cross N; Yao CW; Carrier J; Postuma RB; Gosselin N; Kakinami L; Dang-Vu TT;

Study objectives: To examine the longitudinal association between probable insomnia status and both subjective and objective memory decline in middle-aged and older adults. Methods: 26 363 participants, =45 years, completed baseline and follow-up (3 years after baseline) self-reported evaluations of sleep and memory, and neuropsychological testing in the ...

Article GUID: 35877203


Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children

Author(s): Kakinami L; Smyrnova A; Paradis G; Tremblay A; Henderson M;

Objectives: Severe obesity (SO) prevalence varies between reference curve-based definitions (WHO: =99th percentile, Centers for Disease Control and Prevention (CDC): >1.2×95th percentile). Whether SO definitions differentially predict cardiometabolic disease risk is critical for proper clinical care and management but is unknown.
...

Article GUID: 35705336


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