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PubMed Publications| Keyword search (4,163 papers available) |  |
"cohort" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Associations of pregnancy complications with paternal cardiovascular risk: a retrospective cohort study | Mussa J; Wen L; Sharafi M; Gouin JP; Rahme E; Dasgupta K; | 41407531 PSYCHOLOGY |
| 2 | Impact of a national dementia research consortium: The Canadian Consortium on Neurodegeneration in Aging (CCNA) | Chertkow H; Phillips N; Rockwood K; Anderson N; Andrew MK; Bartha R; Beaudoin C; Bélanger N; Bellec P; Belleville S; Bergman H; Best S; Bethell J; Bherer L; Black S; Borrie M; Camicioli R; Carrier J; Cashman N; Chan S; Crowshoe L; Cuello C; Cynader M; Dang-Vu T; Das S; Dixon RA; Ducharme S; Einstein G; Evans AC; Fahnestock M; Feldman H; Ferland G; Finger E; Fisk JD; Fogarty J; Fon E; Gan-Or Z; Gauthier S; Greenwood C; Henri-Bellemare C; Herrmann N; Hogan DB; Hsiung R; Itzhak I; Jacklin K; Lanctôt K; Lim A; MacKenzie I; Masellis M; Maxwell C; McAiney C; McGilton K; McLaurin J; Mihailidis A; Mohades Z; Montero-Odasso M; Morgan D; Naglie G; Nygaard H; O' Connell M; Petersen R; Pilon R; Rajah MN; Rapoport M; Roach P; Robillard JM; Rogaeva E; Rosa-Neto P; Rylett J; Sadavoy J; St George-Hyslop P; Seitz D; Smith E; Stefanovic B; Vedel I; Walker JD; Wellington C; Whitehead V; Wittich W; | 39636028 HKAP |
| 3 | Early family socioeconomic status and asthma-related outcomes in school-aged children: Results from seven birth cohort studies | Yang-Huang J; McGrath JJ; Gauvin L; Nikiéma B; Spencer NJ; Awad YA; Clifford S; Markham W; Mensah F; Andersson White P; Ludvigsson J; Faresjö T; Duijts L; van Grieken A; Raat H; | 38849153 PERFORM |
| 4 | Pathways of association between disordered eating in adolescence and mental health outcomes in young adulthood during the COVID-19 pandemic | Loose T; Geoffroy MC; Orri M; Chadi N; Scardera S; Booij L; Breton E; Tremblay R; Boivin M; Coté S; | 36482144 PSYCHOLOGY |
| 5 | 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 | Zhao JL; Cross N; Yao CW; Carrier J; Postuma RB; Gosselin N; Kakinami L; Dang-Vu TT; | 35877203 PERFORM |
| 6 | Household income and maternal education in early childhood and activity-limiting chronic health conditions in late childhood: findings from birth cohort studies from six countries | Spencer NJ; Ludvigsson J; You Y; Francis K; Abu Awad Y; Markham W; Faresjö T; Goldhaber-Fiebert J; Andersson White P; Raat H; Mensah F; Gauvin L; McGrath JJ; | 35863874 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 | Low back pain definitions: effect on patient inclusion and clinical profiles | Massé-Alarie H; Angarita-Fonseca A; Lacasse A; Pagé MG; Tétreault P; Fortin M; Léonard G; Stone LS; Roy JS; | 35356510 HKAP |
| 9 | Prenatal exposure to polybrominated diphenyl ethers (PBDEs) and cognitive ability in early childhood. | Azar N, Booij L, Muckle G, Arbuckle TE, Séguin JR, Asztalos E, Fraser WD, Lanphear BP, Bouchard MF | 33395941 PSYCHOLOGY |
| 10 | Once online poker, always online poker? Poker modality trajectories over two years | Dufour M; Morvannou A; Laverdière É; Brunelle N; Kairouz S; Nolin MA; Nadeau L; Dussault F; Berbiche D; | 32467840 PSYCHOLOGY |
| 11 | The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. | Chertkow H, Borrie M, Whitehead V, Black SE, Feldman HH, Gauthier S, Hogan DB, Masellis M, McGilton K, Rockwood K, Tierney MC, Andrew M, Hsiung GR, Camicioli R, Smith EE, Fogarty J, Lindsay J, Best S, Evans A, Das S, Mohaddes Z, Pilon R, Poirier J, Phillips NA, MacNamara E, Dixon RA, Duchesne S, MacKenzie I, Rylett RJ | 31309917 PSYCHOLOGY |
| 12 | Association between insomnia disorder and cognitive function in middle-aged and older adults: a cross-sectional analysis of the Canadian Longitudinal Study on Aging | Cross NE; Carrier J; Postuma RB; Gosselin N; Kakinami L; Thompson C; Chouchou F; Dang-Vu TT; | 31089710 PERFORM |
| 13 | Neighbourhood disadvantage and behavioural problems during childhood and the risk of cardiovascular disease risk factors and events from a prospective cohort | Kakinami L; Serbin LA; Stack DM; Karmaker SC; Ledingham JE; Schwartzman AE; | 29255665 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. |
