Keyword search (4,164 papers available)

"Gauvin L" Authored Publications:

Title Authors PubMed ID
1 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
2 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
3 Household income and maternal education in early childhood and risk of overweight and obesity in late childhood: Findings from seven birth cohort studies in six high-income countries White PA; Awad YA; Gauvin L; Spencer NJ; McGrath JJ; Clifford SA; Nikiema B; Yang-Huang J; Goldhaber-Fiebert JD; Markham W; Mensah FK; van Grieken A; Raat H; Jaddoe VWV; Ludvigsson J; Faresjö T; 35821522
PERFORM
4 Pretreatment motivation and therapy outcomes in eating disorders: A systematic review and meta-analysis. Sansfaçon J, Booij L, Gauvin L, Fletcher É, Islam F, Israël M, Steiger H 32954512
PSYCHOLOGY
5 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
6 A longitudinal, epigenome-wide study of DNA methylation in anorexia nervosa: results in actively ill, partially weight-restored, long-term remitted and non-eating-disordered women Steiger H, Booij L, Kahan `, McGregor K, Thaler L, Fletcher E, Labbe A, Joober R, Israël M, Szyf M, Agellon LB, Gauvin L, St-Hilaire A, Rossi E 30693739
PSYCHOLOGY
7 Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes. Hajna S, Kestens Y, Daskalopoulou SS, Joseph L, Thierry B, Sherman M, Trudeau L, Rabasa-Lhoret R, Meissner L, Bacon SL, Gauvin L, Ross NA, Dasgupta K, Diabetes, GPS, and Walkablilty Study Group 27613233
HKAP

 

Title:Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes.
Authors:Hajna S,  Kestens Y,  Daskalopoulou SS,  Joseph L,  Thierry B,  Sherman M,  Trudeau L,  Rabasa-Lhoret R,  Meissner L,  Bacon SL,  Gauvin L,  Ross NA,  Dasgupta K,  Diabetes,  GPS,  and Walkablilty Study Group
Link:https://www.ncbi.nlm.nih.gov/pubmed/27613233?dopt=Abstract
Publication:
Keywords:
PMID:27613233 Category:BMC Public Health Date Added:2019-05-31
Dept Affiliation: HKAP
1 Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, QC, Canada.
2 Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CHUM), Tour St-Antoine, S02-340, 850 St-Denis, Montreal, QC, Canada.
3 Department of Medicine, Division of Internal Medicine, McGill University Health Centre, Montreal General Hospital, 1650 Cedar Avenue, C2.101.4, Montréal, QC, Canada.
4 Department of Medicine, Division of Clinical Epidemiology, McGill University Health Centre, 687 Pine Avenue West, V1.08, Montréal, QC, Canada.
5 Department of Medicine, Division of Endocrinology, McGill University Health Centre, 1001 Boulevard Decarie, Montreal, QC, Canada.
6 Division of Internal Medicine, Jewish General Hospital, 3755 Cote Sainte-Catherine, Montreal, QC, Canada.
7 Institut de Recherches Cliniques de Montréal (IRCM), 110 avenue des Pins, Montréal, QC, Canada.
8 Department of Medicine, Division of Endocrinology, St. Mary's Hospital, 3830 Lacombe Avenue, Montreal, QC, Canada.
9 Montreal Behavioural Medicine Centre, Hôpital du Sacré-Cœur de Montréal, 5400 Boul. Gouin Ouest, Montréal, QC, Canada.
10 Department of Exercise Science, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, Canada.
11 Département de médecine sociale et préventive, École de Santé Publique, Université de Montréal, 7101 avenue du Parc, Montréal, QC, Canada.
12 Department of Geography, McGill University, 805 Sherbrooke Street West, Montreal, QC, Canada.
13 Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, QC, Canada. kaberi.dasgupta@mcgill.ca.
14 Department of Medicine, Division of Clinical Epidemiology, McGill University Health Centre, 687 Pine Avenue West, V1.08, Montréal, QC, Canada. kaberi.dasgupta@mcgill.ca.

Description:

Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes.

BMC Public Health. 2016 09 09;16:957

Authors: Hajna S, Kestens Y, Daskalopoulou SS, Joseph L, Thierry B, Sherman M, Trudeau L, Rabasa-Lhoret R, Meissner L, Bacon SL, Gauvin L, Ross NA, Dasgupta K, Diabetes, GPS, and Walkablilty Study Group

Abstract

BACKGROUND: Converging international evidence suggests that diabetes incidence is lower among adults living in more walkable neighbourhoods. The association between walkability and physical activity (PA), the presumed mediator of this relationship, has not been carefully examined in adults with type 2 diabetes. We investigated the associations of walkability with total PA occurring within home neighbourhoods and overall PA, irrespective of location.

METHODS: Participants (n?=?97; 59.5?±?10.5 years) were recruited through clinics in Montreal (QC, Canada) and wore a GPS-accelerometer device for 7 days. Total PA was expressed as the total Vector of the Dynamic Body Acceleration. PA location was determined using a Global Positioning System (GPS) device (SIRF IV chip). Walkability (street connectivity, land use mix, population density) was assessed using Geographical Information Systems software. The cross-sectional associations between walkability and location-based PA were estimated using robust linear regressions adjusted for age, body mass index, sex, university education, season, car access, residential self-selection, and wear-time.

RESULTS: A one standard deviation (SD) increment in walkability was associated with 10.4 % of a SD increment in neighbourhood-based PA (95 % confidence interval (CI) 1.2, 19.7) - equivalent to 165 more steps/day (95 % 19, 312). Car access emerged as an important predictor of neighbourhood-based PA (Not having car access: 38.6 % of a SD increment in neighbourhood-based PA, 95 % CI 17.9, 59.3). Neither walkability nor car access were conclusively associated with overall PA.

CONCLUSIONS: Higher neighbourhood walkability is associated with higher home neighbourhood-based PA but not with higher overall PA. Other factors will need to be leveraged to facilitate meaningful increases in overall PA among adults with type 2 diabetes.

PMID: 27613233 [PubMed - indexed for MEDLINE]




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