Literature DB >> 30696690

Neighbourhood walkability and the incidence of diabetes: an inverse probability of treatment weighting analysis.

Gillian L Booth1,2,3,4, Maria I Creatore5, Jin Luo2, Ghazal S Fazli1,2,3, Ashley Johns1, Laura C Rosella2,3,5, Richard H Glazier1,2,3,5,6,7, Rahim Moineddin2,3,6, Peter Gozdyra1,2, Peter C Austin2,3.   

Abstract

BACKGROUND: People living in highly walkable neighbourhoods tend to be more physically active and less likely to be obese. Whether walkable urban design reduces the future risk of diabetes is less clear.
METHODS: We used inverse probability of treatment weighting to compare 10-year diabetes incidence between residents living in high-walkability and low-walkability neighbourhoods within five urban regions in Ontario, Canada. Adults (aged 30-85 years) who were diabetes-free on 1 April 2002 were identified from administrative health databases and followed until 31 March 2012 (n=958 567). Within each region, weights reflecting the propensity to live in each neighbourhood type were created based on sociodemographic characteristics, comorbidities and healthcare utilisation and incorporated into region-specific Cox proportional hazards models.
RESULTS: Low-walkability areas were more affluent and had more South Asian residents (6.4%vs3.6%, p<0.001) but fewer residents from other minority groups (16.6%vs21.7%, p<0.001). Baseline characteristics were well balanced between low-walkability and high-walkability neighbourhoods after applying individual weights (standardised differences all <0.1). In each region, high walkability was associated with lower diabetes incidence among adults aged <65 years (overall weighted incidence: 8.2vs9.2 per 1000; HR 0.85, 95% CI 0.78 to 0.93), but not among adults aged ≥65 years (weighted incidence: 20.7vs19.5 per 1000; HR 1.01, 95% CI 0.91 to 1.12). Findings were consistent regardless of income and immigration status.
CONCLUSIONS: Younger adults living in high-walkability neighbourhoods had a lower 10-year incidence of diabetes than similarly aged adults living in low-walkability neighbourhoods. Urban designs that support walking may have important benefits for diabetes prevention. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cohort studies; diabetes; environmental health; epidemiological methods; neighborhood/place

Mesh:

Year:  2019        PMID: 30696690     DOI: 10.1136/jech-2018-210510

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  8 in total

1.  Neighborhood walkability and pre-diabetes incidence in a multiethnic population.

Authors:  Ghazal S Fazli; Rahim Moineddin; Anna Chu; Arlene S Bierman; Gillian L Booth
Journal:  BMJ Open Diabetes Res Care       Date:  2020-06

Review 2.  Diet and Healthy Lifestyle in the Management of Gestational Diabetes Mellitus.

Authors:  Louise Rasmussen; Charlotte Wolff Poulsen; Ulla Kampmann; Stine Bech Smedegaard; Per Glud Ovesen; Jens Fuglsang
Journal:  Nutrients       Date:  2020-10-06       Impact factor: 5.717

3.  Cross-sectional and prospective associations between active living environments and accelerometer-assessed physical activity in the EPIC-Norfolk cohort.

Authors:  Samantha Hajna; Soren Brage; Alice Dalton; Simon J Griffin; Andy P Jones; Kay-Tee Khaw; Robert Luben; Nicholas J Wareham; Jenna Panter
Journal:  Health Place       Date:  2020-12-13       Impact factor: 4.078

4.  The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics.

Authors:  Annemarie G Hirsch; April P Carson; Nora L Lee; Tara McAlexander; Carla Mercado; Karen Siegel; Nyesha C Black; Brian Elbel; D Leann Long; Priscilla Lopez; Leslie A McClure; Melissa N Poulsen; Brian S Schwartz; Lorna E Thorpe
Journal:  JMIR Res Protoc       Date:  2020-10-19

5.  Exploring non-linear relationships between neighbourhood walkability and health: a cross-sectional study among US primary care patients with chronic conditions.

Authors:  Levi Nicolas Bonnell; Austin R Troy; Benjamin Littenberg
Journal:  BMJ Open       Date:  2022-08-19       Impact factor: 3.006

6.  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

Review 7.  Ethnicity and Metabolic Syndrome: Implications for Assessment, Management and Prevention.

Authors:  Scott A Lear; Danijela Gasevic
Journal:  Nutrients       Date:  2019-12-19       Impact factor: 5.717

8.  A Qualitative Study on the Perspectives of Latinas Enrolled in a Diabetes Prevention Program: Is the Cost of Prevention Too High?

Authors:  Maud Joachim-Célestin; Thelma Gamboa-Maldonado; Hildemar Dos Santos; Susanne B Montgomery
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec
  8 in total

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