Evidence map›Paper›PMID 39126250›Full record

ArticleThe Gerontologist2024

Which Social Variables Predict Diabetes Onset? Robust Findings in Two National Surveys.

Louise C Hawkley, Kristen E Wroblewski, Philip Schumm, Sabrina D Wang, Laura E Finch, Martha K McClintock, Elbert S Huang

Abstract read
In one paragraph

Article in The Gerontologist, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Louise C HawkleyThe Bridge, National Opinion Research Center, Chicago, Illinois, USA.ORCID 0000-0001-7876-8560
Kristen E WroblewskiDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0001-9297-0394
Philip SchummDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Sabrina D WangDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0001-8083-5689
Laura E FinchThe Bridge, National Opinion Research Center, Chicago, Illinois, USA.ORCID 0000-0003-2389-349X
Martha K McClintockInstitute for Mind and Biology, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-2389-349X
Elbert S HuangDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-4628-2061

Funding

National Social Life, Health, and Aging Project: Round 5R01AG048511 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2014 to 2026
$49.5M
National Social Life, Health and Aging: Wave 4R01AG043538 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2013 to 2026
$42.7M
National Social Life, Health, and Aging Project: Anaylsis of Wave 1 and Wave 2R37AG030481 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2008 to 2017
$15.4M
National Social Life, Health and Aging Project (RMI)R01AG021487 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2003 to 2007
$12.2M
NSHAP Wave II Partner Data CollectionR01AG033903 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2009 to 2013
$5.8M
Social Modulation of Transitions in Diabetes: Synthesizing Data Sets and Biomeasure AssaysR01AG060756 · NIA · UNIVERSITY OF CHICAGO · PI HUANG, ELBERT S., MCCLINTOCK, MARTHA KENT · 2019 to 2023
$3.1M
NIA NIH HHS R01 AG021487NIA NIH HHS R01 AG033903NIA NIH HHS R01 AG043538NIA NIH HHS R01 AG048511NIA NIH HHS R01 AG060756NIA NIH HHS R37 AG030481NIH HHS R01AG021487
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe role of social factors in diabetes onset has been obscured by wide variation in their conceptualization and operationalization. We apply 3 theoretical frameworks to categorize social relationship variables along several dimensions and identify which dimension(s) are robustly associated with incident diabetes in the older adult population. RESEARCH DESIGN AND

methodsThe National Social Life, Health, and Aging Project (n = 2,365) and the Health and Retirement Study (n =11,824) provided longitudinal data from 57 to 90-year-old respondents over a 4- to 5-year period. Logistic regression models were used to test associations of 15 social variables measured identically in both data sets with diabetes onset measured as respondents' first report of a physician's diagnosis.

resultsIn both studies, not being married, experiencing strain in a spousal relationship, and feeling lonely were associated with increased risk for diabetes onset at follow-up. Inconsistent or null findings were observed for social support, social activity, network size, number of friends and relatives, living alone, and closeness to network members. DISCUSSION AND IMPLICATIONS: Robust findings in 2 large-scale surveys support the importance of the valence dimension (i.e., positive and negative); specifically, alleviating negative aspects of social life might more effectively reduce risk for diabetes than augmenting positive ones. Findings were not aligned with social variables differing on the subjectivity dimension (i.e., structural, functional, and qualitative aspects of social connections). Future work needs consistent conceptualization and measurement of social factors to correctly identify and categorize risk factors for diabetes onset and other health conditions in older adults.

Indexed as

Social SupportAgedAged, 80 and overDiabetes MellitusFemaleHumansLogistic ModelsLonelinessLongitudinal StudiesMaleMiddle AgedRisk FactorsSocial FactorsUnited StatesHRSLonelinessMarital statusNSHAPSpousal strain

Identifiers

PMID39126250
PMCPMC11449628

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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.