Relationship between county-level crime and diabetes: Mediating effect of physical inactivity.

Crime rate Diabetes Mediation effect Physical inactivity US county

Journal

Preventive medicine reports
ISSN: 2211-3355
Titre abrégé: Prev Med Rep
Pays: United States
ID NLM: 101643766

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 01 05 2020
revised: 17 08 2020
accepted: 25 09 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 23 10 2020
Statut: epublish

Résumé

This paper assessed the extent to which physical inactivity accounts for the relationship between the crime rate and prevalence of type 2 diabetes in the United States. Using 2018 US county-level data, we compared unadjusted and adjusted prevalence of type 2 diabetes between high and low crime counties for 2,966 US counties. Average causal mediating effects of residents' reported physical inactivity were estimated for each comparison. Counties with a higher crime rate were more likely to have higher percentages of people with type 2 diabetes than counties with a lower crime rate, even after adjusting for potential confounding factors such as racial distribution, income level, food insecurity, and neighborhood walkability (adjusted coefficient for top 40% vs. bottom 40% of crime rate distribution = 0.36; p < 0.001). Over 60% of the adjusted relationship between county-level rate of crime and type 2 diabetes was found to be mediated by physical inactivity. This study reinforces potentially overlooked public health benefits of effective anti-crime measures via improved physical activity.

Identifiants

pubmed: 33088677
doi: 10.1016/j.pmedr.2020.101220
pii: S2211-3355(20)30178-9
pmc: PMC7566840
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101220

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK092926
Pays : United States

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

J Am Diet Assoc. 2010 May;110(5 Suppl):S62-7
pubmed: 20399300
Diabetes Care. 2006 Jun;29(6):1433-8
pubmed: 16732040
J Environ Public Health. 2014;2014:542123
pubmed: 24790613
J Appl Physiol (1985). 2005 Sep;99(3):1193-204
pubmed: 16103522
J Urban Health. 2012 Jun;89(3):407-18
pubmed: 22160446
Med Sci Sports Exerc. 2007 Jan;39(1):44-51
pubmed: 17218883
Multivariate Behav Res. 2018 May-Jun;53(3):375-402
pubmed: 29624079
Prev Med. 2008 Sep;47(3):241-51
pubmed: 18499242
Health Place. 2016 May;39:116-21
pubmed: 27060870
Aggress Behav. 2011 Jan-Feb;37(1):73-80
pubmed: 21064166
J Epidemiol Community Health. 2007 Nov;61(11):978-83
pubmed: 17933956
Popul Health Manag. 2017 Feb;20(1):6-12
pubmed: 27124621
Diabetes Care. 2007 Jan;30(1):53-8
pubmed: 17192333
J Rural Health. 2004 Spring;20(2):151-9
pubmed: 15085629
Pediatrics. 2000 Jun;105(6):E83
pubmed: 10835096

Auteurs

McKenzie Hanigan (M)

Department of Economics, University of Michigan, United States.

Michele Heisler (M)

Department of Internal Medicine, School of Medicine, University of Michigan, United States.

HwaJung Choi (H)

Department of Internal Medicine, School of Medicine, University of Michigan, United States.

Classifications MeSH