Cohort Profile: The Quebec Adipose and Lifestyle Investigation in Youth Cohort

Lambert, Marie; Hulst, Andraea Van; O’Loughlin, Jennifer; Tremblay, Angelo; Barnett, Tracie A.; Charron, Hugues; Drapeau, Vicky; Dubois, Josée; Gray‐Donald, Katherine; Henderson, Mélanie; Lagacé, Ginette; Low, Nancy; Mark, Sean; Mathieu, Marie‐Ève; Veugelers, Paul J.; McGrath, Jennifer J.; Nicolau, Belinda; Pelletier, Catherine; Poirier, Paul; Sabiston, Catherine M.; Paradis, Gilles

doi:10.1093/ije/dyr111

Cited by 101 publications

(113 citation statements)

References 28 publications

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“…Details on cohort eligibility and selection have been published elsewhere. 30 Briefly, families were recruited using a school-based sampling strategy. To be recruited, children had to be Caucasian, aged 8-10 years, and have at least one obese biological parent.…”

Section: Datamentioning

confidence: 99%

“…Compared to the general population, QUALITY participants were more likely to be obese and were more affluent. 30 Nevertheless, the sample included a wide range of neighborhoods based on indicators of socioeconomic status, residential density, and availability of resources.…”

Section: Datamentioning

confidence: 99%

“…These children were in poorer health and were more likely to be overweight or obese than the general population. 30 Though a more restricted population, overweight and obese youth represent a significant proportion (approximately 30 %) of Canadian youth. 31 Because parent and child perceptions of neighborhood safety have been linked to child obesity risk factors, 14,21 this study provides a unique opportunity to investigate determinants of perceptions of safety in a vulnerable population.…”

mentioning

confidence: 99%

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A Child’s View: Social and Physical Environmental Features Differentially Predict Parent and Child Perceived Neighborhood Safety

et al. 2014

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Parent and child perceived neighborhood safety predicts child health outcomes such as sleep quality, asthma, physical activity, and psychological distress. Although previous studies identify environmental predictors of parent perceived safety, little is known about predictors of child perceived safety. This study aims to identify the social and physical environmental neighborhood features that predict child and parent perceived neighborhood safety and, simultaneously, to assess the association between child and parent perceptions. Data were from the QUebec Adipose and Lifestyle InvesTigation in Youth (QUALITY) cohort, an ongoing study of Caucasian children (aged 8-10 years) with a parental history of obesity, and their biological parents from Québec, Canada. Measures of social and physical neighborhood features were collected using a spatial data infrastructure and in-person audits. Structural equation modeling was used to test direct and indirect associations between neighborhood features, child and parent perceived safety. Results suggest that among children (N=494), trees and lighting were positively associated with perceived neighborhood safety, whereas a high proportion of visible minorities was associated with poorer perceived safety. Parents' perceptions of safety were more strongly tied to indicators of disorder and a lack of community involvement, and to traffic. Child perceived safety was partly explained by parent perceived safety, suggesting moderate concordance between perceptions. Although associated with each other, parent and child perceived safety seemed to be determined by distinct environmental features. Though this study focused on determinants of child and parent perceived safety, future research investigating the impact of neighborhood safety on child health should consider both child and parent perspectives.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

mentioning

confidence: 99%

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A Child’s View: Social and Physical Environmental Features Differentially Predict Parent and Child Perceived Neighborhood Safety

et al. 2014

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“…ECG data acquisition-Twenty Holter tapes with raw ECG data were randomly chosen from an ongoing study of healthy youth participants between the ages of 8 and 11 (M age =9.93 years, SD =1.02; 55% male). The complete research protocol is described elsewhere (Lambert et al, 2011). All ECG recordings were reviewed by a board-certified cardiologist; no cardiovascular pathology was identified (i.e., bradycardia, fibrillation, premature contraction).…”

Section: Methodsmentioning

confidence: 99%

Measurement fidelity of heart rate variability signal processing: The devil is in the details

Jarrin

McGrath

Giovanniello

et al. 2012

International Journal of Psychophysiology

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Heart rate variability (HRV) is a particularly valuable quantitative marker of the flexibility and balance of the autonomic nervous system. Significant advances in software programs to automatically derive HRV have led to its extensive use in psychophysiological research. However, there is a lack of systematic comparisons across software programs used to derive HRV indices. Further, researchers report meager details on important signal processing decisions making synthesis across studies challenging. The aim of the present study was to evaluate the measurement fidelity of time-and frequency-domain HRV indices derived from three predominant signal processing software programs commonly used in clinical and research settings. Triplicate ECG recordings were derived from 20 participants using identical data acquisition hardware. Among the time-domain indices, there was strong to excellent correspondence (ICC avg =0.93) for SDNN, SDANN, SDNNi, rMSSD, and pNN50. The frequency-domain indices yielded excellent correspondence (ICC avg =0.91) for LF, HF, and LF/HF ratio, except for VLF which exhibited poor correspondence (ICC avg =0.19). Stringent user-decisions and technical specifications for nuanced HRV processing details are essential to ensure measurement fidelity across signal processing software programs.

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“…7,8 This commentary emerges from the "QUébec Adipose and Lifestyle InvesTigation in Youth" (QUALITY), a longitudinal study examining the natural history of cardiovascular disease risk factors in children, one component of which investigates the role of schools for children's cardiovascular risk profiles. 9 In this commentary, we advance questions with regard to the role of school environments specifically for children's play, and how this relates to children's health and well-being.…”

mentioning

confidence: 99%

Are inequalities produced through the differential access to play opportunities at school? A call to level the playing field

Alexander

Barnett

Fitzpatrick

2016

Can J Public Health

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Children's play is characterized as pleasurable, but it is also viewed as critical for child health and well-being. Yet over the past decade, play researchers and advocates from various disciplines have suggested that there are decreasing opportunities for children to play, particularly at school. One concern is that the changing play environment in schools is reducing children's active play options and is thereby contributing to increases in childhood obesity. Building on findings from the QUébec Adipose and Lifestyle InvesTigation in Youth (QUALITY), this commentary suggests that while opportunities to engage in physical activity may indeed be differentially shaped by school play environments, physical health may not be the only factor at stake in unequal play environments in schools. While this is not an altogether new concern, we argue that it is nevertheless important to highlight within physical activity research settings that children's overall well-being, including their experience of pleasure, creativity, imagination and sociability, is also shaped by a school's play environment. Addressing possible inequalities in children's experience of play in schools, we propose several questions and future research directions for addressing children's health and well-being in the school environment.KEY WORDS: Play; child; physical activity; inequalities; health promotion; Canada La traduction du résumé se trouve à la fin de l'article.

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Cohort Profile: The Quebec Adipose and Lifestyle Investigation in Youth Cohort

Cited by 101 publications

References 28 publications

A Child’s View: Social and Physical Environmental Features Differentially Predict Parent and Child Perceived Neighborhood Safety

A Child’s View: Social and Physical Environmental Features Differentially Predict Parent and Child Perceived Neighborhood Safety

Measurement fidelity of heart rate variability signal processing: The devil is in the details

Are inequalities produced through the differential access to play opportunities at school? A call to level the playing field

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