Literature DB >> 28018887

Residents of highly walkable neighbourhoods in Canadian urban areas do substantially more physical activity: a cross-sectional analysis.

Justin Thielman1, Heather Manson1, Maria Chiu1, Ray Copes1, Laura C Rosella1.   

Abstract

BACKGROUND: Research has shown that neighbourhood walkability is associated with small differences in physical activity; however, the health impacts of these small differences have been questioned. We examined the size of the association of walkability with accelerometer-measured physical activity in a large, national-level Canadian population, and compared results to physical activity levels recommended in international guidelines. Our primary objective was to investigate the direction and size of the differences in physical activity that were related to walkability, and whether these differences depended on age.
METHODS: Participants were included from among respondents to the 2007-2011 Canadian Health Measures Surveys who lived in urban areas and were aged 6-79 years. The Canadian Health Measures Surveys are ongoing cross-sectional surveys of a Canada-wide population. Respondents were divided into quintiles based on Street Smart Walk Score® values of their census dissemination areas. For all respondents and age subgroups, we used covariate-adjusted generalized linear models to estimate differences between quintiles in accelerometer-measured moderate-to-vigorous physical activity (MVPA) and sedentary time.
RESULTS: We included 7180 respondents. Differences in participant MVPA between highest and lowest Street Smart Walk Score quintiles were 3.2 (95% confidence interval [CI] -3.2 to 9.6) minutes/day for ages 6-11 years, 11.4 (95% CI 5.3 to 17.4) minutes/day for ages 12-17 years, 9.9 (95% CI 2.4 to 17.4) minutes/day for ages 18-29 years, 14.9 (95% CI 10.2 to 19.6) minutes/day for ages 30-44 years, 11.5 (95% CI 6.7 to 16.3) minutes/day for ages 45-64 years and 6.9 (95% CI 3.1 to 10.8) minutes/day for ages 65-79 years. There were no significant differences in sedentary time in any age group.
INTERPRETATION: In all groups except the youngest, participants in the most walkable areas did significantly more MVPA than those in the least walkable areas. For several age groups, this difference was approximately one-half to two-thirds of the amount recommended in guidelines for physical activity. Substantially higher MVPA levels suggest that residents of highly walkable areas may have greater health benefits.

Entities:  

Year:  2016        PMID: 28018887      PMCID: PMC5173477          DOI: 10.9778/cmajo.20160068

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


  39 in total

1.  Socioeconomic status differences in recreational physical activity levels and real and perceived access to a supportive physical environment.

Authors:  Billie Giles-Corti; Robert J Donovan
Journal:  Prev Med       Date:  2002-12       Impact factor: 4.018

2.  Neighbourhood influences on health in Montréal, Canada.

Authors:  Nancy A Ross; S Stéphane Tremblay; Katie Graham
Journal:  Soc Sci Med       Date:  2004-10       Impact factor: 4.634

3.  By your own two feet: factors associated with active transportation in Canada.

Authors:  Gregory P Butler; Heather M Orpana; Alexander J Wiens
Journal:  Can J Public Health       Date:  2007 Jul-Aug

4.  Walk Score® and the prevalence of utilitarian walking and obesity among Ontario adults: A cross-sectional study.

Authors:  Maria Chiu; Baiju R Shah; Laura C Maclagan; Mohammad-Reza Rezai; Peter C Austin; Jack V Tu
Journal:  Health Rep       Date:  2015-07       Impact factor: 4.796

Review 5.  Relationship between the physical environment and physical activity in older adults: a systematic review.

Authors:  Jelle Van Cauwenberg; Ilse De Bourdeaudhuij; Femke De Meester; Delfien Van Dyck; Jo Salmon; Peter Clarys; Benedicte Deforche
Journal:  Health Place       Date:  2010-11-26       Impact factor: 4.078

6.  Interactions between psychosocial and built environment factors in explaining older adults' physical activity.

Authors:  Jordan A Carlson; James F Sallis; Terry L Conway; Brian E Saelens; Lawrence D Frank; Jacqueline Kerr; Kelli L Cain; Abby C King
Journal:  Prev Med       Date:  2011-10-15       Impact factor: 4.018

7.  A disadvantaged advantage in walkability: findings from socioeconomic and geographical analysis of national built environment data in the United States.

Authors:  Katherine E King; Philippa J Clarke
Journal:  Am J Epidemiol       Date:  2014-11-19       Impact factor: 4.897

8.  Neighbourhood walkability and physical activity among family members of people with heart disease who participated in a randomized controlled trial of a behavioural risk reduction intervention.

Authors:  Dana L Riley; Amy E Mark; Elizabeth Kristjansson; Michael C Sawada; Robert D Reid
Journal:  Health Place       Date:  2013-02-04       Impact factor: 4.078

Review 9.  In search of causality: a systematic review of the relationship between the built environment and physical activity among adults.

Authors:  Gavin R McCormack; Alan Shiell
Journal:  Int J Behav Nutr Phys Act       Date:  2011-11-13       Impact factor: 6.457

10.  Density, destinations or both? A comparison of measures of walkability in relation to transportation behaviors, obesity and diabetes in Toronto, Canada.

Authors:  Richard H Glazier; Maria I Creatore; Jonathan T Weyman; Ghazal Fazli; Flora I Matheson; Peter Gozdyra; Rahim Moineddin; Vered Kaufman-Shriqui; Vered Kaufman Shriqui; Gillian L Booth
Journal:  PLoS One       Date:  2014-01-14       Impact factor: 3.240

View more
  10 in total

1.  Clinically Assessed Walking Capacity Versus Real-World Walking Performance in People with Multiple Sclerosis.

Authors:  Kedar K V Mate; Nancy E Mayo
Journal:  Int J MS Care       Date:  2020-06-15

2.  Cross-sectional associations of active transport, employment status and objectively measured physical activity: analyses from the National Health and Nutrition Examination Survey.

Authors:  Lin Yang; Liang Hu; J Aaron Hipp; Kellie R Imm; Rudolph Schutte; Brendon Stubbs; Graham A Colditz; Lee Smith
Journal:  J Epidemiol Community Health       Date:  2018-05-05       Impact factor: 3.710

3.  Walk Score® and Its Associations with Older Adults' Health Behaviors and Outcomes.

Authors:  Yung Liao; Chien-Yu Lin; Ting-Fu Lai; Yen-Ju Chen; Bohyeon Kim; Jong-Hwan Park
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

4.  Associations between Walk Score and objective measures of physical activity in urban overweight and obese women.

Authors:  Sarah M Camhi; Philip J Troped; Meghan Garvey; Laura L Hayman; Aviva Must; Alice H Lichtenstein; Scott E Crouter
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

5.  Test-Retest Reliability and Walk Score® Neighbourhood Walkability Comparison of an Online Perceived Neighbourhood-Specific Adaptation of the International Physical Activity Questionnaire (IPAQ).

Authors:  Levi Frehlich; Anita Blackstaffe; Gavin R McCormack
Journal:  Int J Environ Res Public Health       Date:  2019-05-30       Impact factor: 3.390

6.  Joint associations between neighborhood walkability, greenness, and particulate air pollution on cardiovascular mortality among adults with a history of stroke or acute myocardial infarction.

Authors:  Noelle S Liao; Stephen K Van Den Eeden; Stephen Sidney; Kamala Deosaransingh; Joel Schwartz; Stephen P Uong; Stacey E Alexeeff
Journal:  Environ Epidemiol       Date:  2022-02-18

7.  How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review.

Authors:  Zeynep S Akinci; Xavier Delclòs-Alió; Guillem Vich; Deborah Salvo; Jesús Ibarluzea; Carme Miralles-Guasch
Journal:  BMC Geriatr       Date:  2022-08-15       Impact factor: 4.070

8.  Is neighbourhood walkability related to body mass index among different age groups? A cross-sectional study of Canadian urban areas.

Authors:  Justin Thielman; Ray Copes; Laura C Rosella; Maria Chiu; Heather Manson
Journal:  BMJ Open       Date:  2019-11-28       Impact factor: 2.692

9.  Association Between Neighborhood Walkability and Predicted 10-Year Cardiovascular Disease Risk: The CANHEART (Cardiovascular Health in Ambulatory Care Research Team) Cohort.

Authors:  Nicholas A Howell; Jack V Tu; Rahim Moineddin; Anna Chu; Gillian L Booth
Journal:  J Am Heart Assoc       Date:  2019-10-31       Impact factor: 5.501

10.  Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults.

Authors:  Xuexin Yu; Wei Zhang
Journal:  BMC Public Health       Date:  2020-11-16       Impact factor: 3.295

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.