Keyword search (4,164 papers available)

"Barnett TA" Authored Publications:

Title Authors PubMed ID
1 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
2 Adiposity and cardiac autonomic function in children with a family history of obesity Saade MB; Holden S; Kakinami L; McGrath JJ; Mathieu MÈ; Poirier P; Barnett TA; Beaucage P; Henderson M; 39304555
PERFORM
3 Children and chrono-exercise: Timing of physical activity on school and weekend days depends on sex and obesity status Reid RER; Henderson M; Barnett TA; Kakinami L; Tremblay A; Mathieu ME; 38083868
MATHSTATS
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 Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches Bird M; Datta GD; Chinerman D; Kakinami L; Mathieu ME; Henderson M; Barnett TA; 35585542
MATHSTATS
8 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
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 Development and Validation of the Reasons to Exergame (RTEX) Scale in Young Adults: Exploratory Factors Analysis O'Loughlin E, Sabiston CM, Kakinami L, McGrath JJ, Consalvo M, O'Loughlin JL, Barnett TA, 32538792
PERFORM
14 Tune out and turn in: the influence of television viewing and sleep on lipid profiles in children. Manousaki D, Barnett TA, Mathieu ME, Maximova K, Simoneau G, Harnois-Leblanc S, Benedetti A, McGrath JJ, Henderson M, QUALITY Cohort Collaborative Group 32203106
PERFORM
15 Exergaming in Youth and Young Adults: A Narrative Overview O' Loughlin EK; Dutczak H; Kakinami L; Consalvo M; McGrath JJ; Barnett TA; 32017864
PERFORM
16 Factors Associated with Sustained Exergaming: Longitudinal Investigation. O'Loughlin EK, Barnett TA, McGrath JJ, Consalvo M, Kakinami L 31368440
CONCORDIA
17 Parenting style and obesity risk in children. Kakinami L, Barnett TA, Séguin L, Paradis G 25797329
PERFORM
18 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
19 The association between income and leisure-time physical activity is moderated by utilitarian lifestyles: A nationally representative US population (NHANES 1999-2014) Kakinami L; Wissa R; Khan R; Paradis G; Barnett TA; Gauvin L; 29753806
PERFORM
20 Prospective Associations Between Play Environments and Pediatric Obesity. Fitzpatrick C, Alexander S, Henderson M, Barnett TA 30354254
PERFORM
21 School food environments associated with adiposity in Canadian children. Fitzpatrick C, Datta GD, Henderson M, Gray-Donald K, Kestens Y, Barnett TA 28186100
PERFORM

 

Title:Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches
Authors:Bird MDatta GDChinerman DKakinami LMathieu MEHenderson MBarnett TA
Link:https://pubmed.ncbi.nlm.nih.gov/35585542/
DOI:10.1186/s12966-022-01256-6
Publication:The international journal of behavioral nutrition and physical activity
Keywords:24-hour movement behaviourBuilt environmentCompositional data analysisModerate-to-vigorous physical activityQUALITY cohortSedentary behaviourWalkabilityYouth
PMID:35585542 Category: Date Added:2022-05-19
Dept Affiliation: MATHSTATS
1 Centre de recherche du Centre hospitalier universitaire (CHU) Sainte-Justine, Montréal, Canada.
2 Département de médecine sociale et préventive, École de santé publique de l'Université de Montréal, Montréal, Canada.
3 Office of International Affairs for the Health Portfolio, Public Health Agency of Canada, Ottawa, Ontario, Canada.
4 Le Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada.
5 Cedars-Sinai Medical Center, Department of Medicine, Los Angeles, CA, USA.
6 Department of Family Medicine, Faculty of Medicine, McGill University, 5858 Côte-des-Neiges Rd, Montreal, QC, H3S 1Z1, Canada.
7 Department of Mathematics and Statistics, Concordia University, Montréal, Canada.
8 School of Kinesiology and Physical Activity Sciences, University of Montréal, Montréal, Canada.
9 Department of Pediatrics, University of Montréal, Montréal, Canada.
10 Centre de recherche du Centre hospitalier universitaire (CHU) Sainte-Justine, Montréal, Canada. tracie.barnett@mcgill.ca.
11 Department of Family Medicine, Faculty of Medicine, McGill University, 5858 Côte-des-Neiges Rd, Montreal, QC, H3S 1Z1, Canada. tracie.barnett@mcgill.ca.

Description:

Background: We compared the relation between neighborhood features and moderate to vigorous physical activity (MVPA) using linear regression analysis and the more novel compositional data analysis (CoDA). Compositional data analysis allows us to take the time children allocate to different movement behaviours during a 24-hour time period into account.

Methodology: Data from youth participants (n = 409) in the QUALITY (QUebec Adipose and Lifestyle InvesTigation in Youth) cohort were included. Time spent in MVPA, light physical activity, sedentary behavior, and sleep ("24-hour movement behaviours") was measured using accelerometers. Neighborhood data were collected using a geographic information system and through direct observation. In CoDA models, we used orthogonal logratio coordinates, which allows for the association of neighbourhood walkability with MVPA to be estimated with respect to the average composition of all other behaviours within a 24-hour time frame. In baseline linear regression models, MVPA was regressed cross-sectionally on neighborhood walkability. All models were stratified by sex, and controlled for BMI z-scores, pubertal development, seasonal variation, parental education, and neighbourhood safety.

Results: Based on CoDA, girls who lived in more walkable neighborhoods had 10% higher daily MVPA (95% CI: 2%, 19%), taking into account all other movement behaviours. Based on linear regression, girls who resided in more walkable neighborhoods engaged in 4.2 (95% confidence interval [CI]: 1.2, 6.6) more minutes of MVPA per day on average than girls residing in less walkable neighborhoods.

Conclusions: Unlike with traditional linear models, all movement behaviours were included in a single model using CoDA, allowing for a more complete picture of the strength and direction of the association between neighbourhood Walkability and MVPA. Application of CoDA to investigate determinants of physical activity provides additional insight into potential mechanisms and the ways in which people allocate their time.





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