Literature DB >> 29907582

Social Network Characteristics Are Associated With Type 2 Diabetes Complications: The Maastricht Study.

Stephanie Brinkhues1,2,3, Nicole H T M Dukers-Muijrers1,2,3, Christian J P A Hoebe1,2,3, Carla J H van der Kallen4,5, Annemarie Koster2,6, Ronald M A Henry4,5, Coen D A Stehouwer4,5, Paul H M Savelkoul1,2,7, Nicolaas C Schaper2,4,5, Miranda T Schram8,5,9.   

Abstract

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.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 29907582     DOI: 10.2337/dc17-2144

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  13 in total

1.  Social Support, Social Network Size, Social Strain, Stressful Life Events, and Coronary Heart Disease in Women With Type 2 Diabetes: A Cohort Study Based on the Women's Health Initiative.

Authors:  Junmei Miao Jonasson; Michael Hendryx; Aladdin H Shadyab; Erika Kelley; Karen C Johnson; Candyce H Kroenke; Lorena Garcia; Sofia Lawesson; Ailiana Santosa; Shawnita Sealy-Jefferson; Xiaochen Lin; Crystal W Cene; Simin Liu; Carolina Valdiviezo; Juhua Luo
Journal:  Diabetes Care       Date:  2020-06-04       Impact factor: 19.112

2.  Patient Decision-Making About Self-Disclosure of a Type 2 Diabetes Diagnosis: A Qualitative Study.

Authors:  Christy J W Ledford; Charisse Villareal; Elizabeth W Williams; Lauren A Cafferty; Jeremy T Jackson; Dean A Seehusen
Journal:  Diabetes Spectr       Date:  2022-01-25

3.  Effect of Chronic Heart Failure Complicated with Type 2 Diabetes Mellitus on Cognitive Function in the Elderly.

Authors:  Yang Liu; Rui Meng; Jianzeng Dong
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-28       Impact factor: 2.650

4.  Medication Adherence and Perceived Social Support of Hypertensive Patients in China: A Community-Based Survey Study.

Authors:  Bingjie Shen; Tianjia Guan; Xinyu Du; Chenyang Pei; Jinhong Zhao; Yuanli Liu
Journal:  Patient Prefer Adherence       Date:  2022-05-18       Impact factor: 2.314

5.  Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study.

Authors:  Omar Silverman-Retana; Stephanie Brinkhues; Adam Hulman; Coen D A Stehouwer; Nicole H T M Dukers-Muijrers; Rebecca K Simmons; Hans Bosma; Simone Eussen; Annemarie Koster; Pieter Dagnelie; Hans H C M Savelberg; Nicolaas C Schaper; Martien C J M van Dongen; Daniel R Witte; Miranda T Schram
Journal:  BMJ Open Diabetes Res Care       Date:  2021-02

6.  Blood Pressure Control and Associations with Social Support among Hypertensive Outpatients in a Developing Country.

Authors:  Luu Quang Thuy; Nguyen Hoang Thanh; Le Hong Trung; Pham Huy Tan; Hoang Thi Phuong Nam; Pham Thi Diep; Tran Thi Ha An; Bui Van San; Tran Nguyen Ngoc; Ngo Van Toan
Journal:  Biomed Res Int       Date:  2021-04-03       Impact factor: 3.411

7.  A survey of social network status and its related factors for older adults with type 2 diabetes in Beijing, China.

Authors:  Kailian Yang; Yu Liu; Xing Yin; Shishi Wu; Quanying Wu; Li Wang; Jiayue Li
Journal:  Nurs Open       Date:  2021-12-01

8.  Psychosocial conditions and the progression of diabetic nephropathy in Japanese with type 2 diabetes mellitus.

Authors:  Hiroyo Ninomiya; Naoto Katakami; Mitsuyoshi Takahara; Taka-Aki Matsuoka; Iichiro Shimomura
Journal:  Diabetol Int       Date:  2021-01-02

9.  Mental Health among Spanish Adults with Diabetes: Findings from a Population-Based Case-Controlled Study.

Authors:  Marta Lopez-Herranz; Rodrigo Jiménez-García; Zichen Ji; Javier de Miguel-Diez; David Carabantes-Alarcon; Clara Maestre-Miquel; José J Zamorano-León; Ana López-de-Andrés
Journal:  Int J Environ Res Public Health       Date:  2021-06-04       Impact factor: 3.390

Review 10.  Social networks and type 2 diabetes: a narrative review.

Authors:  Miranda T Schram; Willem J J Assendelft; Theo G van Tilburg; Nicole H T M Dukers-Muijrers
Journal:  Diabetologia       Date:  2021-06-29       Impact factor: 10.122

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