Evidence map›Paper›PMID 41031351›Full record

ArticlePreventive medicine reports2025

Socioeconomic inequalities in waist circumference and its 12-year change: Moderation by neighbourhood population density.

Sungkavi Selvakumaran, Manoj Chandrabose, Nyssa Hadgraft, Neville Owen, Takemi Sugiyama

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Sungkavi SelvakumaranSwinburne University of Technology, Melbourne, Victoria 3122, Australia.
Manoj ChandraboseSwinburne University of Technology, Melbourne, Victoria 3122, Australia.
Nyssa HadgraftSwinburne University of Technology, Melbourne, Victoria 3122, Australia.
Neville OwenSchool of Health Sciences, Swinburne University of Technology, Melbourne, Victoria 3122, Australia.
Takemi SugiyamaSwinburne University of Technology, Melbourne, Victoria 3122, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Reducing socioeconomic inequalities in obesity is a public health priority. We examined whether population density, a key environmental characteristic associated with obesity, moderates the associations of area-level socioeconomic status (SES) with waist circumference and its rate of change. Methods: Data from adults in an Australian national study, collected across three waves (1999-2000, 2005-06, 2011-12), were used. Outcomes were objectively measured baseline waist circumference ( Results: Higher area-level SES was associated with smaller baseline waist circumference (-1.45, 95 % CI [-2.28, -0.12]) but not with change over time (0.04, 95 % CI [-0.02, 0.09]). In stratified cross-sectional analyses, this association was significant in lower- (-5.00, 95 % CI -7.73, -2.28]) and medium-density (-2.61, 95 % CI [-4.55, -0.67]), but not in higher-density areas (-0.54, 95 % CI [-1.73,0.65]). In longitudinal analyses, lower SES was linked to smaller increases in waist circumference in lower- (0.16, 95 % CI [0.03, 0.29]) and medium-density (0.17, 95 % CI [0.05, 0.30]) areas, suggesting a narrowing of socioeconomic inequalities in obesity. However, annual changes were modest and unlikely to offset baseline inequalities. Conclusions: Population density moderated associations of area-level SES with waist circumference and its change. Inequalities in baseline obesity were pronounced in lower density areas but not higher density areas. While the longitudinal findings of the moderation patterns were different from baseline results, they suggest persistent socioeconomic inequalities in obesity in lower density areas.

Indexed as

built environmentdeprivationhealth disparitiesinteractionobesitysocioeconomic status

Identifiers

PMID41031351
PMCPMC12478090

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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.