Evidence map›Paper›PMID 30292876›Full record

ArticleSocial science & medicine (1982)2018

Neighborhood effects on body mass: Temporal and spatial dimensions.

Tse-Chuan Yang, Scott J South

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Socioeconomic Status, Institutional Power, and Body Mass Index among Chinese Adults.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Review
  14. Neighborhood Poverty and Physical Health at Midlife: The Role of Life-Course Exposure.Journal of urban health : bulletin of the New York Academy of Medicine · 2020
    Article
  15. Article
  16. 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

2 authors.

Tse-Chuan YangDepartment of Sociology, Center for Social and Demographic Analysis, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY, 12222, USA. Electronic address: tyang3@albany.edu.
Scott J SouthDepartment of Sociology, Center for Social and Demographic Analysis, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY, 12222, USA. Electronic address: ssouth@albany.edu.

Funding

Developmental Infrastructure CoreR24HD044943 · NICHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI DENTON, NANCY A · 2004 to 2016
$4.8M
NICHD NIH HHS R24 HD044943
6 · The paper itself

Abstract

Research examining the effects of neighborhood characteristics on obesity and excess body weight has generally neglected the influence of both life-course exposure and geographically-proximate communities. Using data on 9357 respondents to the National Longitudinal Survey of Youth, 1979 Cohort, in conjunction with tract-level data from the 1980-2010 U.S. censuses, this study examines how black, Hispanic, and white individuals' cumulative exposure to varying levels of neighborhood poverty and co-ethnic density from their mid-teens through mid-adulthood, as well as the levels of poverty and co-ethnic density in nearby, or "extralocal," neighborhoods, are associated with their body mass index (BMI). Fixed-effect regression models show that, among Hispanics and whites, cumulative exposure to co-ethnic neighbors is a stronger positive predictor of BMI than the co-ethnic density of the immediate, point-in-time neighborhood. Among whites, cumulative exposure to neighborhood poverty is a stronger positive predictor of BMI than is the poverty rate of the current neighborhood of residence. And among both blacks and whites, the distance-weighted poverty rate of extralocal neighborhoods is significantly and inversely related to BMI, suggesting that relative affluence in nearby neighborhoods engenders relative deprivation among residents of the focal neighborhood, leading to increased BMI. Overall, the results suggest that greater attention to both the temporal and spatial dimensions of neighborhood effects has the potential to enhance our understanding of how neighborhoods affect obesity and related health outcomes.

Indexed as

AdolescentAdultBody Mass IndexEducational StatusFemaleHousingHumansIncomeMaleMiddle AgedObesityRacial GroupsResidence CharacteristicsFixed-effect modelingNeighborhood effectsNLSYObesity

Identifiers

PMID30292876
PMCPMC6207931

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.