Evidence map›Paper›PMID 31019733›Full record

ArticleObesity science & practice2019

Association between obesity in 4- to 7-year-old children and eight types of crime: a hierarchical linear modelling approach.

K M Benzies, M T Yates, A B Patel, A R Afzal, J Kurilova, D A McNeil

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 34% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

K M BenziesFaculty of Nursing University of Calgary Calgary Alberta Canada.ORCID https://orcid.org/0000-0002-9090-2395
M T YatesFaculty of Nursing University of Calgary Calgary Alberta Canada.
A B PatelHealth Services Research and Innovation, Applied Research and Evaluation Services Primary Health Care, Alberta Health Services Calgary Alberta Canada.
A R AfzalFaculty of Nursing University of Calgary Calgary Alberta Canada.
J KurilovaDepartments of Paediatrics and Community Health Sciences, Cumming School of Medicine University of Calgary Calgary Alberta Canada.
D A McNeilFaculty of Nursing University of Calgary Calgary Alberta Canada.
University of Calgary · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvidence of the association between childhood obesity and neighbourhood crime is inconclusive. Most previous studies have included children of all ages, and few have examined different types of crime. The objective of this study was to investigate the association between obesity and eight different types of crime (i.e. commercial robbery, street robbery, assault, other violence, commercial break and enter, residential break and enter, theft of vehicle and theft from vehicle) among 4- to 7-year-old children in a large western Canadian city.

methodsCross-sectional, epidemiological study (

resultsControlling for distance to the closest park, frequency of each type of crime in the child's neighbourhood and neighbourhood factors (proportion of visible minorities, education and median family income), there was no association between any of the crime types and childhood obesity.

conclusionsCrime did not contribute to obesity in this sample of 4- to 7-year-old children. Replication of this study in other jurisdictions would increase confidence in these results.

Indexed as

Childrencrimeneighbourhoodobesity

Identifiers

PMID31019733
PMCPMC6469438
OpenAlexW2905285430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.