Social Network Characteristics Are Associated With Type 2 Diabetes Complications: The Maastricht Study
Author(s) -
Stephanie Brinkhues,
Nicole H. T. M. Dukers–Muijrers,
Christian J. P. A. Hoebe,
Carla Kallen,
Annemarie Koster,
Ronald M.A. Henry,
Coen D.A. Stehouwer,
Paul H. M. Savelkoul,
Nicolaas C. Schaper,
Miranda T. Schram
Publication year - 2018
Publication title -
diabetes care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.636
H-Index - 363
eISSN - 1935-5548
pISSN - 0149-5992
DOI - 10.2337/dc17-2144
Subject(s) - medicine , social network (sociolinguistics) , type 2 diabetes , glycemic , social support , type 2 diabetes mellitus , cohort , albuminuria , diabetes mellitus , population , disease , gerontology , demography , endocrinology , environmental health , psychology , sociology , political science , law , psychotherapist , social media
OBJECTIVE The relation between clinical complications and social network characteristics in type 2 diabetes mellitus (T2DM) has hardly been studied. Therefore, we examined the associations of social network characteristics with macro- and microvascular complications in T2DM and investigated whether these associations were independent of glycemic control, quality of life, and well-known cardiovascular risk factors. RESEARCH DESIGN AND METHODS Participants with T2DM originated from the Maastricht Study, a population-based cohort study (n = 797, mean age 62.7 ± 7.6 years, 31% female). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. Macro- and microvascular complications were defined as a history of cardiovascular disease and the presence of impaired vibratory sense and/or retinopathy and/or albuminuria, respectively. We assessed cross-sectional associations of social network characteristics with macro- and microvascular complications by use of logistic regression adjusted for age, HbA1c, quality of life, and cardiovascular risk factors, stratified for sex. RESULTS A smaller network size, higher percentages of family members, and lower percentages of friends were independently associated with macrovascular complications in both men and women. A smaller network size and less informational support were independently associated with microvascular complications in women, but not in men. CONCLUSIONS This study shows that social network characteristics were associated with macro- and microvascular complications. Health care professionals should be aware of the association of the social network with T2DM outcomes. In the development of strategies to reduce the burden of disease, social network characteristics should be taken into account.
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