Evidence map›Paper›PMID 35805578›Full record

ArticleInternational journal of environmental research and public health2022

Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix.

Connor M Sheehan, Esther E Gotlieb, Stephanie L Ayers, Daoqin Tong, Sabrina Oesterle, Sonia Vega-López, Wendy Wolfersteig, Dulce María Ruelas, Gabriel Q Shaibi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

9 authors at 2 institutions in 1 country.

Connor M SheehanSchool of Social and Family Dynamics, Arizona State University, Tempe, AZ 85281, USA.
Esther E GotliebSouthwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA.
Stephanie L AyersSouthwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA.
Daoqin TongSchool of Geographical Sciences & Urban Planning, Arizona State University, Tempe, AZ 85281, USA.
Sabrina OesterleSouthwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0002-2898-6145
Sonia Vega-LópezCollege of Health Solutions and Southwest Interdisciplinary Research Center, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0001-8089-0725
Wendy WolfersteigSchool of Social Work, Arizona State University, Tempe, AZ 85281, USA.
Dulce María RuelasCollege of Nursing & Healthcare Professions, Grand Canyon University, Phoenix, AZ 85017, USA.
Gabriel Q ShaibiCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ 85004, USA.
Arizona State University · USGrand Canyon University · US

Funding

Multi-Level Effects of a Parenting Intervention for Enhancing Latino Youth Health BehaviorsU54MD002316 · NIMHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MARSIGLIA, FLAVIO FRANCISCO · 2017 to 2022
$14.9M
Urban American Indian Youth Substance Use: Ecodevelopmental Influences P20MD002316 · NIMHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MARSIGLIA, FLAVIO FRANCISCO · 2007 to 2016
$13.3M
Extracellular vesicle cargo and risk of NAFLD and NASH in U.S. youthR01DK127015 · NIDDK · TRANSLATIONAL GENOMICS RESEARCH INST · PI Johanna K DiStefano, Gabriel Quantum Shaibi · 2022 to 2026
$3.9M
NIDDK NIH HHS R01 DK127015NIMHD NIH HHS L60 MD003594NIMHD NIH HHS P20 MD002316NIMHD NIH HHS P20MD002316NIMHD NIH HHS U54 MD002316NIMHD NIH HHS U54MD002316
6 · The paper itself

Abstract

Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth.

Indexed as

Diabetes Mellitus, Type 2AdolescentChildGlucoseHispanic or LatinoHumansObesityResidence CharacteristicsUnited StatesGlucoseadolescencediabetesLatinosneighborhoodsobesity

Identifiers

PMID35805578
PMCPMC9265310
OpenAlexW4283698886

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.