Evidence map›Paper›PMID 27238086›Full record

ArticleJournal of biosocial science2016

NEIGHBOURHOOD POVERTY, PERCEIVED DISCRIMINATION AND CENTRAL ADIPOSITY IN THE USA: INDEPENDENT ASSOCIATIONS IN A REPEATED MEASURES ANALYSIS.

Jamila L Kwarteng, Amy J Schulz, Graciela B Mentz, Barbara A Israel, Trina R Shanks, Denise White Perkins

Abstract read
In one paragraph

Article in Journal of biosocial science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Neighborhood Social Environment and Cardiovascular Disease Risk.Current cardiovascular risk reports · 2019
    Article
  12. Article
  13. Review
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.

Jamila L Kwarteng*Medical College of Wisconsin,Milwaukee,WI,USA.
Amy J Schulz†School of Public Health,University of Michigan,Ann Arbor,MI,USA.
Graciela B Mentz†School of Public Health,University of Michigan,Ann Arbor,MI,USA.
Barbara A Israel†School of Public Health,University of Michigan,Ann Arbor,MI,USA.
Trina R Shanks‡School of Social Work,University of Michigan, Ann Arbor,MI,USA.
Denise White Perkins§Henry Ford Health System Institute on Multicultural Health,Detroit,MI,USA.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
PROMOTING ETHNIC DIVERSITY IN PUBLIC HEALTH TRAININGR25GM058641 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHATTERS, LINDA MARIE · 2000 to 2017
$7.4M
SOCIAL AND PHYSICAL ENVIRONMENTS AND HEALTH DISPARITIESR01ES010936 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHULZ, AMY J · 2000 to 2004
$3.2M
Community Action to Promote Healthy EnvironmentsR01ES032389 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, SCHULZ, AMY J · 2021 to 2025
$3.0M
Healthy Environments Partnership: Lean &Green in MotownR01ES014234 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHULZ, AMY J · 2005 to 2009
$3.0M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES010936NIEHS NIH HHS R01 ES014234NIEHS NIH HHS R01 ES032389NIGMS NIH HHS R25 GM058641
6 · The paper itself

Abstract

This study examines the independent effects of neighbourhood context (i.e. neighbourhood poverty) and exposure to perceived discrimination in shaping risk of obesity over time. Weighted three-level hierarchical linear regression models for a continuous outcome were used to assess the independent effects of neighbourhood poverty and perceived discrimination on obesity over time in a sample of 157 non-Hispanic Black, non-Hispanic White and Hispanic adults in Detroit, USA, in 2002/2003 and 2007/2008. Independent associations were found between neighbourhood poverty and perceived discrimination with central adiposity over time. Residents of neighbourhoods with high concentrations of poverty were more likely to show increases in central adiposity compared with those in neighbourhoods with lower concentrations of poverty. In models adjusted for BMI, neighbourhood poverty at baseline was associated with a greater change in central adiposity among participants who lived in neighbourhoods in the second (B=3.79, p=0.025) and third (B=3.73, p=0.024) poverty quartiles, compared with those in the lowest poverty neighbourhoods. The results from models that included both neighbourhood poverty and perceived discrimination showed that both were associated with increased risk of increased central adiposity over time. Residents of neighbourhoods in the second (B=9.58, p<0.001), third (B=8.25, p=0.004) and fourth (B=7.66, p=0.030) quartiles of poverty were more likely to show greater increases in central adiposity over time, compared with those in the lowest poverty quartile, with mean discrimination at baseline independently and positively associated with increases in central adiposity over time (B=2.36, p=0.020). The results suggest that neighbourhood poverty and perceived discrimination are independently associated with a heightened risk of increase in central adiposity over time. Efforts to address persistent disparities in central adiposity in the USA should include strategies to reduce high concentrations of neighbourhood poverty as well as discrimination.

Indexed as

AdiposityPovertySocial DiscriminationAdultBlack or African AmericanBody Mass IndexFemaleHispanic or LatinoHumansMaleMiddle AgedModels, StatisticalObesity, AbdominalPerceptionResidence CharacteristicsRisk Factors

Identifiers

PMID27238086
PMCPMC5800399

What OpenQuestion holds

Textmetadata
LicenceTDM
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.