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PubMed Publications| Keyword search (4,163 papers available) |  |
"Mathieu ME" 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 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | 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 |
| 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 M, Datta GD, Chinerman D, Kakinami L, Mathieu ME, Henderson M, Barnett 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 behaviour; Built environment; Compositional data analysis; Moderate-to-vigorous physical activity; QUALITY cohort; Sedentary behaviour; Walkability; Youth; | ||||
| 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. |
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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. |
