Evidence map›Paper›PMID 27287937›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2016

Parental History of Diabetes, Positive Affect, and Diabetes Risk in Adults: Findings from MIDUS.

Vera K Tsenkova, Arun S Karlamangla, Carol D Ryff

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Association of risk factors with type 2 diabetes: A systematic review.Computational and structural biotechnology journal · 2021
    Review
  12. High Prevalence ofJournal of parasitology research · 2021
    Article
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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

3 authors.

Vera K TsenkovaUniversity of Wisconsin, Madison, and Institute on Aging, 2245 MSC, 1200 University Ave, Madison, WI, 53703, USA. tsenkova@wisc.edu.
Arun S KarlamanglaDivision of Geriatrics, UCLA, Los Angeles, CA, USA.
Carol D RyffUniversity of Wisconsin, Madison, and Institute on Aging, 2245 MSC, 1200 University Ave, Madison, WI, 53703, USA.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER L COE · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
ZDV &3TC NEVIRAPINE COMBINATION THERAPY IN HIV 1 INFECTED INFANTS &M01RR000865 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WASHINGTON, ARNOLD E. · 1985 to 2011
$43.4M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
TRAINING PROGRAM IN EMOTION RESEARCHT32MH018931 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI Richard J Davidson · 1989 to 2026
$11.6M
WIHS INTENSIVE PHARMACOKINETIC STUDY (IPS)M01RR023942 · NCRR · GEORGETOWN UNIVERSITY · PI FEDEROFF, HOWARD J. · 2007 to 2009
$6.9M
Biopsychosocial Pathways to Type 2 DiabetesK01AG041179 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI TSENKOVA, VERA K · 2012 to 2016
$539k
NCATS NIH HHS UL1 TR000427NCRR NIH HHS M01 RR000865NCRR NIH HHS M01 RR023942NCRR NIH HHS UL1 RR025011NIA NIH HHS K01 AG041179NIA NIH HHS P01 AG020166NIA NIH HHS P30 AG017266NIA NIH HHS U19 AG051426NIMH NIH HHS T32 MH018931
6 · The paper itself

Abstract

backgroundFamily history of diabetes is one of the major risk factors for diabetes, but significant variability in this association remains unexplained, suggesting the presence of important effect modifiers. PURPOSE: To our knowledge, no previous work has examined whether psychological factors moderate the degree to which family history of diabetes increases diabetes risk.

methodsWe investigated the relationships among parental history of diabetes, affective states (positive affect, negative affect, and depressed affect), and diabetes in 978 adults from the MIDUS 2 national sample.

resultsAs expected, parental history of diabetes was associated with an almost threefold increase in diabetes risk. We found a significant interaction between positive affect and parental history of diabetes on diabetes (p = .009): higher positive affect was associated with a statistically significant lower relative risk for diabetes in participants who reported having a parental history of diabetes (RR = .66 per unit increase in positive affect; 95 % CI = .47; .93), but it did not influence diabetes risk for participants who reported no parental history of diabetes (p = .34). This pattern persisted after adjusting for an extensive set of health and sociodemographic covariates and was independent of negative and depressed affect.

conclusionsThese results suggest that psychological well-being may protect individuals at increased risk from developing diabetes. Understanding such interactions between non-modifiable risk factors and modifiable psychological resources is important for delineating biopsychosocial pathways to diabetes and informing theory-based, patient-centered interventions to prevent the development of diabetes.

Indexed as

ParentsAdultAffectAgedAged, 80 and overDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRisk FactorsDiabetesFamily history of diabetesPositive affect

Identifiers

PMID27287937
PMCPMC5127745

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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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.