Evidence map›Paper›PMID 37658323›Full record

ArticleBMC public health2023

An examination of the relationships between the neighborhood social environment, adiposity, and cardiometabolic disease risk in adolescence: a cross-sectional study.

Kara D Denstel, Robbie A Beyl, Denise M Danos, Maura M Kepper, Amanda E Staiano, Katherine T Theall, Tung-Sung Tseng, Stephanie T Broyles

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02784509 (Translational Investigation of Growth and Everyday Routines in Kids), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02784509 completednot on this map

Translational Investigation of Growth and Everyday Routines in Kids (TIGER Kids)

TypeobservationalSponsorPennington Biomedical Research CenterRan2016 to 2020Enrolled342ConditionsChildhood Obesity
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  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

8 authors.

Kara D DenstelPennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, Baton Rouge, LA, 70808, USA.
Robbie A BeylPennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, Baton Rouge, LA, 70808, USA.
Denise M DanosSchool of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Maura M KepperPrevention Research Center, Washington University in St. Louis, One Brookings Drive, St. Louis, MO, USA.
Amanda E StaianoPennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, Baton Rouge, LA, 70808, USA.
Katherine T TheallDepartment of Epidemiology and Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Tung-Sung TsengSchool of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Stephanie T BroylesPennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, Baton Rouge, LA, 70808, USA. Stephanie.Broyles@pbrc.edu.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
NIDDK NIH HHS P30 DK072476NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundDisadvantaged neighborhood environments are a source of chronic stress which undermines optimal adolescent health. This study investigated relationships between the neighborhood social environment, specifically, chronic stress exposures, adiposity, and cardiometabolic disease risk factors among 288 Louisiana adolescents aged 10 to 16 years.

methodsThis cross-sectional study utilized baseline data from the Translational Investigation of Growth and Everyday Routines in Kids (TIGER Kids) study. Adolescent data were obtained using self-reported questionnaires (demographics and perceived neighborhood disorder), anthropometry, body imaging, and a blood draw while objective neighborhood data for the concentrated disadvantage index were acquired from the 2016 American Community Survey five-year block group estimates, 2012-2016. Multilevel linear regression models were used to examine whether neighborhood concentrated disadvantage index and perceived neighborhood disorder were associated with body mass index, waist circumference, body fat, adipose tissue, blood pressure, and lipids. We performed multilevel logistic regression to determine the odds of elevated adiposity and cardiometabolic disease risk for adolescents living in neighborhoods with varying levels of neighborhood concentrated disadvantage and disorder.

resultsAdolescents living in neighborhoods with higher disadvantage or disorder had greater waist circumference and total percent body fat compared to those in less disadvantaged and disordered neighborhoods (p for trend < 0.05). Neighborhood disadvantage was also positively associated with percentage of the 95

conclusionsNeighborhood social environment measures of chronic stress exposure were associated with excess adiposity during adolescence, and relationships were most consistently identified among adolescents living in the most disadvantaged and disordered neighborhoods. Future studies should account for the influences of the neighborhood environment to stimulate equitable improvements in adolescent health. CLINICAL TRIALS REGISTRATION: # NCT02784509.

Indexed as

AdiposityCardiovascular DiseasesAdolescentCross-Sectional StudiesHumansObesitySocial EnvironmentAdolescent healthChild obesityNeighborhood disadvantageNeighborhood disorderNeighborhood social environment

Identifiers

PMID37658323
PMCPMC10472712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.