Evidence map›Paper›PMID 39548459›Full record

ArticleBMC public health2024

Are area-level socioeconomic inequalities in obesity moderated by neighbourhood greenery?

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

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Article in BMC public health, 2024. 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

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. 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.

Sungkavi SelvakumaranCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Nyssa HadgraftCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Manoj ChandraboseCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Suzanne MavoaCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Neville OwenCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
Takemi SugiyamaCentre for Urban Transitions, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia. tsugiyama@swin.edu.au.

Funding

State Government of Victoria NASwinburne University of Technology NA
6 · The paper itself

Abstract

backgroundReducing socioeconomic inequalities in obesity is a public health priority. Limited research exists on the role of neighbourhood environmental attributes in mitigating these inequalities. However, it has been shown that neighbourhoods with more greenery tend to have lower levels of socioeconomic inequalities in non-obesity health outcomes. We examined whether neighbourhood greenery moderates the association of area-level socioeconomic status (SES) with waist circumference.

methodsData from 3,261 middle-aged and older adults who participated in a national cohort study conducted in Australia (2011-12) were used. The outcome was objectively measured waist circumference. For area-level SES, a composite index of disadvantage based on census data was used. We used two measures of neighbourhood greenery: mean greenness and geographic size of greenspace. They were assessed using the Normalized Difference Vegetation Index (NDVI) within 0.5, 1, and 2 km radius buffers around participants' homes. The mean NDVI value within each buffer area was used for the former, and the geographic size of the area with NDVI ≥ 0.6 (dense greenery) was used for the latter.

resultsThere was a significant negative association between area-level SES and waist circumference: one standard deviation higher score in the area-level SES indicator (less disadvantage) was associated with 1.76 cm (95% CI: -2.68, -0.83) lower waist circumference. Analyses stratified by greenery levels found similar significant associations in the areas with low and high levels of greenery but not in the areas with medium levels of greenery for both greenery measures within 1 km and 2 km buffers.

conclusionsConsistent with previous studies, our study found that participants living in disadvantaged suburbs were likely to have a larger waist circumference than those living in advantaged suburbs. However, we also found that such socioeconomic inequalities in obesity were mitigated in the areas with medium levels of greenery for this sample of Australian adults. Our findings suggest that there may be an optimum level of greenery where inequalities in obesity are alleviated. Further research is needed to understand the mechanisms underlying these findings.

Indexed as

ObesityResidence CharacteristicsWaist CircumferenceAgedAustraliaCohort StudiesEnvironment DesignFemaleHealth Status DisparitiesHumansMaleMiddle AgedNeighborhood CharacteristicsSocial ClassSocioeconomic FactorsEnvironmentGreenspaceHealth disparitiesModerationSocioeconomic status

Identifiers

PMID39548459
PMCPMC11568568

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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.