Evidence map›Paper›PMID 40051822›Full record

ArticleChronic diseases and translational medicine2025

Family history of type 2 diabetes and the risk of type 2 diabetes among young and middle-aged adults.

Ken R Smith, Huong Meeks, David Curtis, Barbara B Brown, Kyle Kole, Lori Kowaleski-Jones

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Article in Chronic diseases and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ken R SmithDepartment of Family and Consumer Studies University of Utah Salt Lake City Utah USA.ORCID 0000-0003-0682-3705
Huong MeeksDepartment of Pediatrics University of Utah Salt Lake City Utah USA.
David CurtisDepartment of Family and Consumer Studies University of Utah Salt Lake City Utah USA.
Barbara B BrownDepartment of Family and Consumer Studies University of Utah Salt Lake City Utah USA.
Kyle KoleDepartment of Family and Consumer Studies University of Utah Salt Lake City Utah USA.
Lori Kowaleski-JonesDepartment of Family and Consumer Studies University of Utah Salt Lake City Utah USA.

Funding

Family, Neighborhoods, and Intergenerational Transmission of Type II Diabetes RiskR01DK118405 · NIDDK · UNIVERSITY OF UTAH · PI KOWALESKI-JONES, LORI · 2020 to 2023
$1.4M
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
Neighborhood Characteristics and Body Mass Index: Selection or Causation?R21DK080406 · NIDDK · UNIVERSITY OF UTAH · PI KOWALESKI-JONES, LORI, SMITH, KEN R · 2008 to 2009
$505k
NCRR NIH HHS R01 RR021746NIDDK NIH HHS R01 DK118405NIDDK NIH HHS R21 DK080406
6 · The paper itself

Abstract

Background: The prevalence of type 2 diabetes has been growing among younger and middle-aged adults in the United States. A portion of this increase for this age group may be attributable to shared type 2 diabetes risks with family members. How family history of type 2 diabetes history is associated with type 2 diabetes risk among younger and middle-aged adults is not well understood. Methods: This population-based retrospective cohort study uses administrative, genealogical, and electronic medical records from the Utah Population Database. The study population comprises offspring born between 1970 and 1990 and living in the four urban Utah counties in the United States between 1990 and 2015. The sample comprises 360,907 individuals without a type 2 diabetes diagnosis and 14,817 with a diagnosis. Using multivariate logistic regressions, we estimate the relative risk (RR) of type 2 diabetes associated with the number of affected first- (FDRs), second- (SDRs), and third-degree (first cousin) relatives for the full sample and for Hispanic-specific and sex-specific subsets. Results: Individuals with 2+ FDRs with type 2 diabetes have a significant risk of type 2 diabetes in relation to those with no affected FDRs (RR = 3.31 [3.16, 3.48]). Individuals with 2+ versus no SDRs with type 2 diabetes have significant but lower risks (RR = 1.32 [1.25, 1.39]). Those with 2+ versus no affected first cousins have a similarly low risk (RR = 1.28 [1.21, 1.35]). Larger RRs are experienced by males (2+ vs. 0 FDRs, RR = 3.55) than females (2+ vs. 0 FDRs, RR = 3.18) ( Conclusions: The risks of type 2 diabetes are significantly associated with having affected first-, second-, and third-degree relatives, especially for men. One of the forces contributing to the rising patterns of type 2 diabetes among young and middle-aged adults is their connection to affected, often older, kin.

Indexed as

epidemiologyfamily historyfamily studiesobesitytype 2 diabetes

Identifiers

PMID40051822
PMCPMC11880113

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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.