Evidence map›Paper›PMID 33088677›Full record

ArticlePreventive medicine reports2020

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

McKenzie Hanigan, Michele Heisler, HwaJung Choi

Abstract read
In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

McKenzie HaniganDepartment of Economics, University of Michigan, United States.
Michele HeislerDepartment of Internal Medicine, School of Medicine, University of Michigan, United States.
HwaJung ChoiDepartment of Internal Medicine, School of Medicine, University of Michigan, United States.

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

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.

Indexed as

Crime rateDiabetesMediation effectPhysical inactivityUS county

Identifiers

PMID33088677
PMCPMC7566840

What OpenQuestion holds

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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.