Evidence map›Paper›PMID 31615468›Full record

ArticleBMC public health2019

Association of genetic and behavioral characteristics with the onset of diabetes.

Carmen D Ng, Jordan Weiss

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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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

2 authors.

Carmen D NgHubert Department of Global Health and the Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA. carmen.ng@emory.edu.ORCID http://orcid.org/0000-0001-9453-7818
Jordan WeissPopulation Studies Center and the Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
Dynamics and Health Consequences of Obesity between Infancy and Young Adulthood in the United StatesR01DK115937 · NIDDK · EMORY UNIVERSITY · PI ARGESEANU CUNNINGHAM, SOLVEIG · 2018 to 2021
$1.6M
Eunice Kennedy Shriver National Institute of Child Health and Human Development NIH T32 HD007242National Institute of Diabetes and Digestive and Kidney Diseases (US) R01 DK115937-01NICHD NIH HHS T32 HD007242NIDDK NIH HHS R01 DK115937
6 · The paper itself

Abstract

backgroundPrior work has established sociodemographic, lifestyle, and behavioral risk factors for diabetes but the contribution of these factors to the onset of diabetes remains unclear when accounting for genetic propensity for diabetes. We examined the contribution of a diabetes polygenic score (PGS) to the onset of diabetes in the context of modifiable known risk factors for diabetes.

methodsOur sample consisted of 15,190 respondents in the United States-based Health and Retirement Study, a longitudinal study with up to 22 years of follow-up. We performed multivariate Cox regression models stratified by race (non-Hispanic white and non-Hispanic black) with time-varying covariates.

resultsWe observed 4217 (27.76%) cases of incident diabetes over the survey period. The diabetes PGS was statistically significantly associated with diabetes onset for both non-Hispanic whites (hazard ratio [HR] = 1.38, 95% confidence interval [CI] = 1.30, 1.46) and non-Hispanic blacks (HR = 1.22, 95% CI = 1.06, 1.40) after adjusting for a range of known risk factors for diabetes, highlighting the critical role genetic endowment might play. Nevertheless, genetics do not downplay the role that modifiable characteristics could still play in diabetes management; even with the inclusion of the diabetes PGS, several behavioral and lifestyle characteristics remained significant for both race groups.

conclusionsThe effects of genetic and lifestyle characteristics should be taken into consideration for both future studies and diabetes management.

Indexed as

Life StyleAdultAgedAged, 80 and overBlack or African AmericanDiabetes MellitusFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsUnited StatesWhite PeopleDiabetesLongitudinal studiesPolygenic score

Identifiers

PMID31615468
PMCPMC6794810

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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.