Socio-demographic and clinical predictors of self-management among people with poorly controlled type 1 and type 2 diabetes: the role of illness perceptions and self-efficacy

Abubakari, Abdul-Razak and Cousins, Rosanna and Thomas, Cecil and Sharma, Dushyant and Naderali, Ebrahim (2015) Socio-demographic and clinical predictors of self-management among people with poorly controlled type 1 and type 2 diabetes: the role of illness perceptions and self-efficacy. Journal of Diabetes Research. Article ID 968621.

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Official URL: http://www.hindawi.com/journals/jdr/aa/968621/

Abstract

Self-management is critical if people with diabetes are to minimise their risk of macrovascular and microvascular complications, yet adherence to self-management recommendations is suboptimal. Understanding the predictors of optimal diabetes self-management in specific populations is needed to inform effective interventions. This study investigated the role of demographic and clinical characteristics, illness perceptions, and self-efficacy in explaining adherence to self-management recommendations among people with poorly controlled diabetes in North West of England. Illness perceptions and self-efficacy data were collected using validated questionnaires and clinical data were obtained from hospital records. Correlations were used to investigate bivariate relationships between independent variables and self-management, and multiple regression techniques were used to determine demographic and psychosocial predictors of self-management. Various demographic and clinical characteristics were associated with adherence to self-management recommendations. In particular, employment status explained 11% of the variation in adherence to foot care whilst diabetes treatment category explained 9% of exercise and 21% of the variations in SMBG recommendations. Also, 22% and 8% of the variations in overall self-management were explained by illness perceptions and self-efficacy beliefs, respectively. Illness perceptions and self-efficacy beliefs of people with poorly controlled diabetes are important predictors of their self-management behaviours and could potentially guide effective interventions.

Item Type: Article
Faculty / Department: Faculty of Science > Psychology
Depositing User: Anna Kirpichnikova
Date Deposited: 02 Nov 2015 18:36
Last Modified: 02 Nov 2015 18:36
URI: http://hira.hope.ac.uk/id/eprint/464

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