Evidence map›Paper›PMID 26985612›Full record

ArticleAmerican journal of public health2016

Neighborhood Walkability and Body Mass Index Trajectories: Longitudinal Study of Canadians.

Rania A Wasfi, Kaberi Dasgupta, Heather Orpana, Nancy A Ross

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Associations of Cumulative and Point-in-Time Neighborhood Poverty and Walkability with Body Mass from Age 30 to 39.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes.International journal of environmental research and public health · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rania A WasfiRania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.
Kaberi DasguptaRania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.
Heather OrpanaRania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.
Nancy A RossRania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.

Funding

Canadian Institutes of Health Research HOA-80072
6 · The paper itself

Abstract

objectivesTo assess the impact of neighborhood walkability on body mass index (BMI) trajectories of urban Canadians.

methodsData are from Canada's National Population Health Survey (n = 2935; biannual assessments 1994-2006). We measured walkability with the Walk Score. We modeled body mass index (BMI, defined as weight in kilograms divided by the square of height in meters [kg/m(2)]) trajectories as a function of Walk Score and sociodemographic and behavioral covariates with growth curve models and fixed-effects regression models.

resultsIn men, BMI increased annually by an average of 0.13 kg/m(2) (95% confidence interval [CI] = 0.11, 0.14) over the 12 years of follow-up. Moving to a high-walkable neighborhood (2 or more Walk Score quartiles higher) decreased BMI trajectories for men by approximately 1 kg/m(2) (95% CI = -1.16, -0.17). Moving to a low-walkable neighborhood increased BMI for men by approximately 0.45 kg/m(2) (95% CI = 0.01, 0.89). There was no detectable influence of neighborhood walkability on body weight for women.

conclusionsOur study of a large sample of urban Canadians followed for 12 years confirms that neighborhood walkability influences BMI trajectories for men, and may be influential in curtailing male age-related weight gain.

Indexed as

Body Mass IndexEnvironmentAdolescentAdultBody WeightCanadaFemaleHealth BehaviorHumansLongitudinal StudiesMaleMiddle AgedResidence CharacteristicsSex FactorsSocioeconomic FactorsUrban Population

Identifiers

PMID26985612
PMCPMC4985117

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.