Social network effect on self-rated health in type 2 diabetic patients--results from a longitudinal population-based study

International Journal of Public Health
Martina EllerAndreas Mielck

Abstract

The aim is to analyse the association between social network and self-rated health in a longitudinal design for persons with type 2 diabetes, comparing them with persons without diabetes. The analyses are based on data from the population-based 'KORA-A study' conducted in the region of Augsburg (Germany), with data from 1990/1995 (t0) and 1998 (t1), including 164 persons with type 2 diabetes and 207 persons without diabetes. The social network was assessed by the Berkman/Syme index. For the type 2 diabetes group, the multivariate analyses show that a high score of social network at t0 is associated with good self-rated health at t1, even if self-rated health at t0 is included in the model (OR 2.69; 95% CI: 1.21-5.98). For the non-diabetes group, no such association was found. The results point towards a 'buffer effect' of the social network, indicating that the positive effect on health can be seen mostly among those who are exposed to a high level of burden, in this case exposed to a chronic disease such as type 2 diabetes.

Citations

Apr 3, 2010·International Journal of Public Health·Tarja NieminenMarkku T Hyyppä
Mar 20, 2010·International Journal for Equity in Health·Abdi A Gele, Ivan Harsløf
Jun 2, 2012·Diabetes Research and Clinical Practice·Ghislaine BadawiNorbert Schmitz
Oct 13, 2012·Health & Social Care in the Community·Ziba FarajzadeganAhmadreza Zamani
Nov 27, 2015·Applied Nursing Research : ANR·Chunhua MaShuling Huang
Jul 13, 2013·International Journal of Nursing Studies·Jason W Beckstead
Aug 4, 2010·International Journal of Nursing Studies·Asiye Kartal, Fadime Hatice İnci
Aug 6, 2016·Journal of Diabetes and Its Complications·Lene E JoensenMark Peyrot
Oct 4, 2017·Health Promotion International·Pernille Tanggaard AndersenCarsten Kronborg Bak
Feb 9, 2011·Journal of Community Health·Michiyo HiranoIzumi Ueda

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