Evidence map›Paper›PMID 33761527›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2021

Development of a Typology of Diabetes-Specific Family Functioning Among Adults With Type 2.

Lindsay S Mayberry, Robert A Greevy, Li-Ching Huang, Shilin Zhao, Cynthia A Berg

Open access · bronzeAbstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Diabetes Mellitus Family Assessment Instruments: A Systematic Review of Measurement Properties.International journal of environmental research and public health · 2023
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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

5 authors at 3 institutions in 1 country.

Lindsay S MayberryDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-0654-4151
Robert A GreevyDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-1821-3544
Li-Ching HuangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-5959-7097
Shilin ZhaoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3921-3965
Cynthia A BergDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0002-5693-4561
Vanderbilt University Medical Center · USUniversity of Utah · USVanderbilt University · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ELASY, TOM A · 2011 to 2020
$6.7M
Targeting Family Behaviors to Improve Diabetes Management among Adults with Type 2 DiabetesK01DK106306 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAYBERRY, LINDSAY S. · 2015 to 2018
$568k
Diabetes-Specific Family Functioning among Adults: Types, Predictors, and OutcomesR03DK113329 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAYBERRY, LINDSAY S. · 2017 to 2018
$158k
NCATS NIH HHSNIDDK NIH HHS K01 DK106306NIDDK NIH HHS K01-DK106306NIDDK NIH HHS P30 DK092986NIDDK NIH HHS R03 DK113329Vanderbilt Center for Diabetes Translation Research P30-DK092986Vanderbilt Institute for Clinical and Translational Research ULTR000445
6 · The paper itself

Abstract

backgroundFamily members' responses to adults' diabetes and efforts to manage it vary widely. Multiple aspects of diabetes-specific family functioning have been identified as important for self-management and psychosocial well-being in theoretical (i.e., theories of social support and collaborative coping) and observational literature. PURPOSE: Develop a typological framework of diabetes-specific family functioning and examine cross-sectional associations between type and diabetes outcomes.

methodsWe used electronic health record (EHR) data to identify a cohort of 5,545 adults receiving outpatient care for type 2 diabetes and invited them to complete a survey assessing 10 dimensions of diabetes-specific family functioning. We used k-means cluster analysis to identify types. After type assignment, we used EHR data for the full cohort to generate sampling weights to correct for imbalance between participants and non-participants. We used weighted data to examine unadjusted associations between participant characteristics and type, and in regression models to examine associations between type and diabetes outcomes. Regression models were adjusted for sociodemographics, diabetes duration, and insulin status.

resultsWe identified and named four types: Collaborative and Helpful (33.8%), Satisfied with Low Involvement (22.2%), Want More Involvement (29.6%), and Critically Involved (14.5%; reflecting the highest levels of criticism and harmful involvement). Across these types, hemoglobin A1c, diabetes distress, depressive symptoms, diabetes medication adherence, and diabetes self-efficacy worsened. After covariate adjustment, type remained independently associated with each diabetes outcome (all p's < .05).

conclusionsThe typology extends theories of family support in diabetes and applications of the typology may lead to breakthroughs in intervention design, tailoring, and evaluation.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementAdaptation, PsychologicalAdultCross-Sectional StudiesGlycated HemoglobinHumansSocial SupportGlycated HemoglobinDiabetes distressFamilyHemoglobin A1cSocial supportType 2 diabetes

Identifiers

PMID33761527
PMCPMC8489307
OpenAlexW3136345307

What OpenQuestion holds

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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.