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Concordia Publications:

Title Authors PubMed ID
1 Comparing the impact of in-person vs. virtual 10-week family-based childhood obesity management program on anthropometric, cardiometabolic, and mental health outcomes Heidl AJ; Sun D; Faustini C; Gierc M; Bains A; Cohen TR; 41332896
MATHSTATS
2 Enhancing nutrition education resources through the development and refinement of a checklist using the suitability assessment of materials (SAM) Sage O; Wang F; DiAngelo C; Marsden S; Faustini C; Grant S; Cohen TR; 40820296
MATHSTATS
3 Real-time motion detection using dynamic mode decomposition Mignacca M; Brugiapaglia S; Bramburger JJ; 40421310
MATHSTATS
4 Differences in Geographical Location and Health Behaviors of Participants in a Family-Based Lifestyle Intervention for Children and Adolescents Living with Obesity Heidl AJ; Gierc M; Saputra S; Waliwitiya T; Puterman E; Cohen TR; 39761009
MATHSTATS
5 Asymmetric autocatalytic reactions and their stationary distribution Gallinger C; Popovic L; 39679357
MATHSTATS
6 Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks Adcock B; Brugiapaglia S; Dexter N; Moraga S; 39454372
MATHSTATS
7 A unified stochastic SIR model driven by Lévy noise with time-dependency Easlick T; Sun W; 39027117
MATHSTATS
8 Exactly Solvable Anharmonic Oscillator, Degenerate Orthogonal Polynomials and Painlevé II Bertola M; Chavez-Heredia E; Grava T; 38983592
MATHSTATS
9 COVID-19 virtual patient cohort reveals immune mechanisms driving disease outcomes Jenner AL; Aogo RA; Alfonso S; Crowe V; Smith AP; Morel PA; Davis CL; Smith AM; Craig M; 33442689
MATHSTATS
10 The infimum values of two probability functions for the Gamma distribution Sun P; Hu ZC; Sun W; 38261930
MATHSTATS
11 Complex localization mechanisms in networks of coupled oscillators: Two case studies Nicolaou ZG; Bramburger JJ; 38252783
MATHSTATS
12 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
13 Medical Cannabis Use Among Canadian Veterans and Non-Veterans: A National Survey Valikhanova G; Kato Y; Fitzcharles MA; Ware M; Da Costa D; Lowensteyn I; Cheung HS; Grover S; 37920683
MATHSTATS
14 Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks Brugiapaglia S; Liu M; Tupper P; 35798322
MATHSTATS
15 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
16 Direct and indirect effects of roads on space use by jaguars in Brazil Cerqueira RC; de Rivera OR; Jaeger JAG; Grilo C; 34799617
MATHSTATS
17 Mental Health-Related Emergency Department Visits in Adolescents Before and During the COVID-19 Pandemic: A Multicentric Retrospective Study Chadi N; Spinoso-Di Piano C; Osmanlliu E; Gravel J; Drouin O; 34462192
MATHSTATS
18 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
19 COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes Jenner AL; Aogo RA; Alfonso S; Crowe V; Deng X; Smith AP; Morel PA; Davis CL; Smith AM; Craig M; 34260666
MATHSTATS
20 Diagonalization of the finite Hilbert transform on two adjacent intervals: the Riemann-Hilbert approach Bertola M; Blackstone E; Katsevich A; Tovbis A; 32684912
MATHSTATS
21 The Impairment of Number Transcoding Abilities in Individuals with Amnestic Mild Cognitive Impairment and Alzheimer Disease: Associations With Attentional and Executive Functions. Macoir J, Lafay A, Hudon C 32132401
MATHSTATS
22 Diffusion dynamics on the coexistence subspace in a stochastic evolutionary game Popovic L; Peuckert L; 32025789
MATHSTATS
23 Wigner functions from the two-dimensional wavelet group. Ali ST, Krasowska AE, Murenzi R 11140488
MATHSTATS
24 Chaotic maps derived from trajectory data. Boyarsky A, Gora P 12779531
MATHSTATS
25 A new hierarchy of integrable systems associated to Hurwitz spaces. Kokotov A, Korotkin D 17588869
MATHSTATS
26 Periods of hyperelliptic integrals expressed in terms of theta-constants by means of Thomae formulae. Enolski V, Richter P 17594965
MATHSTATS
27 Joint stationary moments of a two-island diffusion model of population subdivision. Kermany AR, Zhou X, Hickey DA 18691608
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28 Special comparison theorem for the Dirac equation. Hall RL 18851588
MATHSTATS
29 Noise reduction of cDNA microarray images using complex wavelets. Howlader T, Chaubey YP 20371406
MATHSTATS
30 A cluster randomized-controlled trial of a classroom-based drama workshop program to improve mental health outcomes among immigrant and refugee youth in special classes Rousseau C; Beauregard C; Daignault K; Petrakos H; Thombs BD; Steele R; Vasiliadis HM; Hechtman L; 25127251
MATHSTATS
31 How spatial heterogeneity shapes multiscale biochemical reaction network dynamics. Pfaffelhuber P, Popovic L 25652460
MATHSTATS
32 Topology and inference for Yule trees with multiple states. Popovic L, Rivas M 27009067
MATHSTATS

 

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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