Evidence map›Paper›PMID 36643055›Full record

ArticleCurrent epidemiology reports2019

Neighborhoods to Nucleotides - Advances and gaps for an obesity disparities systems epidemiology model.

Marta M Jankowska, Kyle Gaulton, Rob Knight, Kevin Patrick, Dorothy D Sears

Open access · greenAbstract read
In one paragraph

Article in Current epidemiology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity.International journal of environmental research and public health · 2022
    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 2 institutions in 1 country.

Marta M JankowskaQualcomm Institute/Calit2, 9500 Gilman Drive MC 0811, University of California San Diego, San Diego, CA, USA, 92093-0811.
Kyle GaultonDepartment of Pediatrics, UC San Diego, San Diego, CA, USA.
Rob KnightDepartment of Pediatrics, UC San Diego, San Diego, CA, USA.
Kevin PatrickDepartment of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA.
Dorothy D SearsCenter for Microbiome Innovation, UC San Diego, La Jolla, CA, USA.
University of California, San Diego · USQualcomm (United States) · US

Funding

(PQA4) GPS exposure to environments & relations with biomarkers of cancer riskR01CA179977 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KERR, JACQUELINE · 2013 to 2016
$3.0M
NCI NIH HHS R01 CA179977
6 · The paper itself

Abstract

Purpose of Review: Disparities in obesity rates in the US continue to increase. Here we review progress and highlight gaps in understanding disparities in obesity with a focus on the Hispanic/Latino population from a systems epidemiology framework. We review seven domains: environment, behavior, biomarkers, nutrition, microbiome, genomics, and epigenomics/transcriptomics. We focus on recent advances that include at least two or more of these domains, and then provide a real world example of data collection efforts that reflect these domains. Recent Findings: Research into DNA methylation related to discrimination and microbiome relating to eating behaviors and food content is furthering understanding of why disparities in obesity persist. Environmental and neighborhood level research is uncovering the importance of exposures such as air and noise pollution and systematic or structural racism for obesity and related outcomes through behaviors such as sleep.

Indexed as

data integrationenvironmental exposureHealth disparitiesHispanic/Latinoobesitysystems epidemiology

Identifiers

PMID36643055
PMCPMC9839192
OpenAlexW2984676215

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.