Evidence map›Paper›PMID 33621753›Full record

ArticleSocial science & medicine (1982)2021

Utilizing genome wide data to highlight the social behavioral pathways to health: The case of obesity and cardiovascular health among older adults.

Trent Davidson, Justin Vinneau-Palarino, Joshua A Goode, Jason D Boardman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Genetically Predicted Body Mass Index and Mortality in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2024
    Article
  3. 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

4 authors.

Trent DavidsonDepartment of Sociology, University of Colorado Boulder, Boulder, CO, USA; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA. Electronic address: trda6725@colorado.edu.
Justin Vinneau-PalarinoDepartment of Sociology, University of Colorado Boulder, Boulder, CO, USA; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Joshua A GoodeDepartment of Sociology, University of Colorado Boulder, Boulder, CO, USA; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Jason D BoardmanDepartment of Sociology, University of Colorado Boulder, Boulder, CO, USA; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
University of Colorado Interdisciplinary Training in Demography and GeneticsT32AG052371 · NIA · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D · 2017 to 2020
$681k
NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS T32 AG052371NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

We use genome-wide data from the 1992-2016 Health and Retirement Study (n = 12,090) to characterize obesity among older adults as genetically or socially oriented. To illustrate the significance of this approach for social epidemiological research, we deem those with the lowest genetic risk for obesity to be socially-behaviorally obese and obesity among those with the highest polygenic risk is characterized as genetically oriented. We then examine the association between obesity and four indicators of cardiovascular health (type-2 diabetes, hypertension, heart problems, and stroke) among those with low, average, and high genetic risk. Our results show that the association between obesity and cardiovascular health is significantly higher for those with the lowest genetic risk (e.g., social-behavioral obesity). We also demonstrate important sex differences such that this association is particularly strong for heart problems among men and hypertension and stroke among women. Our results further demonstrate the centrality of the social and behavioral determinants of health by utilizing detailed information across the human genome and add to both social and genetic epidemiology literatures.

Indexed as

Diabetes Mellitus, Type 2HypertensionStrokeAgedFemaleHumansMaleObesityRisk FactorsBehavioral geneticsDiabetesGxE interactionHealth and retirement studyHeart problemsHypertensionObesityStroke

Identifiers

PMID33621753
PMCPMC8005483

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.