Evidence map›Paper›PMID 36997832›Full record

ArticleJournal of racial and ethnic health disparities2024

Obesity Heterogeneity by Neighborhood Context in a Largely Latinx Sample.

Ashley W Kranjac, Dinko Kranjac, Zeev N Kain, Louis Ehwerhemuepha, Brooke N Jenkins

Open access · hybridAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 4 institutions in 1 country.

Ashley W KranjacDepartment of Sociology, Chapman University, Orange, CA, USA.
Dinko KranjacDepartment of Psychology, Institute for Mental Health and Psychological Well-Being, University of La Verne, La Verne, CA, USA.
Zeev N KainCenter for Stress & Health, University of California School of Medicine, Irvine, CA, USA.
Louis EhwerhemuephaComputational Research, Children's Health of Orange County, Orange, CA, USA.
Brooke N JenkinsCenter for Stress & Health, University of California School of Medicine, Irvine, CA, USA. bjenkins@chapman.edu.ORCID 0000-0001-9829-4550
Chapman University · USChildren's Hospital of Orange County · USUniversity of California, Irvine · USUniversity of La Verne · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children's body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocoded pediatric electronic medical record data from a predominantly Latinx sample and characterized neighborhoods into unique residential contexts using latent profile modeling techniques. We estimated multilevel linear regression models that adjust for comorbid conditions and found that a child's place of residence independently associates with higher body mass index z-scores. Interactions further reveal that Latinx children living in Middle-Class neighborhoods have higher BMI z-scores than Asian and Other Race children residing in the most disadvantaged communities. Our findings underscore the complex relationship between community racial/ethnic composition and neighborhood socioeconomic context on body weight status during childhood.

Indexed as

EthnicityObesityAsianBody Mass IndexBody WeightChildHispanic or LatinoHumansRacial GroupsResidence CharacteristicsChildrenElectronic medical recordsLatent profile analysisLatinxNeighborhoodsObesity

Identifiers

PMID36997832
PMCPMC10933170
OpenAlexW4362459777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.