Literature DB >> 33761527

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

Lindsay S Mayberry1,2, Robert A Greevy3, Li-Ching Huang3,4, Shilin Zhao3,4, Cynthia A Berg5.   

Abstract

BACKGROUND: Family 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.
METHODS: We 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.
RESULTS: We 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).
CONCLUSIONS: The typology extends theories of family support in diabetes and applications of the typology may lead to breakthroughs in intervention design, tailoring, and evaluation. © Society of Behavioral Medicine 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Diabetes distress; Family; Hemoglobin A1c; Social support; Type 2 diabetes

Mesh:

Substances:

Year:  2021        PMID: 33761527      PMCID: PMC8489307          DOI: 10.1093/abm/kaab009

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  46 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Direct social support and long-term health among middle-aged and older adults with type 2 diabetes mellitus.

Authors:  Emily J Nicklett; Mary E Michele Heisler; Michael S Spencer; Ann-Marie Rosland
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-11       Impact factor: 4.077

Review 3.  The impact of family behaviors and communication patterns on chronic illness outcomes: a systematic review.

Authors:  Ann-Marie Rosland; Michele Heisler; John D Piette
Journal:  J Behav Med       Date:  2011-06-21

4.  Diabetes burden and diabetes distress: the buffering effect of social support.

Authors:  Rachel N Baek; Molly L Tanenbaum; Jeffrey S Gonzalez
Journal:  Ann Behav Med       Date:  2014-10

Review 5.  The family and type 2 diabetes: a framework for intervention.

Authors:  L Fisher; C A Chesla; R J Bartz; C Gilliss; M A Skaff; F Sabogal; R A Kanter; C P Lutz
Journal:  Diabetes Educ       Date:  1998 Sep-Oct       Impact factor: 2.140

6.  The relationship between marital quality and adherence to the diabetes care regimen.

Authors:  Paula M Trief; Robert Ploutz-Snyder; Kirsten Dee Britton; Ruth S Weinstock
Journal:  Ann Behav Med       Date:  2004-06

7.  Social support, quality of life, and self-care behaviors amongAfrican Americans with type 2 diabetes.

Authors:  Tricia S Tang; Morton B Brown; Martha M Funnell; Robert M Anderson
Journal:  Diabetes Educ       Date:  2008 Mar-Apr       Impact factor: 2.140

8.  Supporting autonomy to motivate patients with diabetes for glucose control.

Authors:  G C Williams; Z R Freedman; E L Deci
Journal:  Diabetes Care       Date:  1998-10       Impact factor: 19.112

9.  Secondary use of clinical data: the Vanderbilt approach.

Authors:  Ioana Danciu; James D Cowan; Melissa Basford; Xiaoming Wang; Alexander Saip; Susan Osgood; Jana Shirey-Rice; Jacqueline Kirby; Paul A Harris
Journal:  J Biomed Inform       Date:  2014-02-14       Impact factor: 6.317

10.  The PHQ-8 as a measure of current depression in the general population.

Authors:  Kurt Kroenke; Tara W Strine; Robert L Spitzer; Janet B W Williams; Joyce T Berry; Ali H Mokdad
Journal:  J Affect Disord       Date:  2008-08-27       Impact factor: 4.839

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