Literature DB >> 27592109

Self-management behavior among patients with diabetic retinopathy in the community: a structural equation model.

Li Yang1,2, Qunhong Wu3, Yanhua Hao4, Yu Cui2, Libo Liang2, Lijun Gao2, Mingli Jiao2, Ning Ning2, Hong Sun2, Zheng Kang2, Liyuan Han5, Ye Li2, Hui Yin2.   

Abstract

PURPOSE: Diabetic retinopathy (DR) is an important, chronic complication of diabetes, requiring competent self-management that depends on adherence to behavioral regimens. This study attempted to identify factors influencing self-management behaviors and develop a model illustrating the interdependence of several factors associated with DR patients.
METHODS: In June-December 2012, 368 patients with DR completed questionnaires assessing self-management behavior, diabetes knowledge, health beliefs, social support, and treatment adherence. Structural equation modeling was used to test predicted pathways linking self-management behavior to diabetes knowledge, health beliefs, social support, and treatment adherence.
RESULTS: The results indicated that health beliefs, treatment adherence, and duration of diabetes each had a direct impact on diabetes self-management (p < 0.05). Diabetes knowledge only indirectly influenced diabetes self-management, through health beliefs. Social support had a direct impact on diabetes self-management (β = 0.35, p < 0.01), and an indirect influence on diabetes self-management, through treatment adherence (β = 0.77, p < 0.01).
CONCLUSION: Health beliefs, treatment adherence, and social support directly affect diabetes self-management, and diabetes knowledge indirectly affects diabetes self-management. This suggests that enhancing DR patients' health beliefs, treatment adherence, and social support would facilitate their diabetes self-management. Meanwhile, improved health education can strengthen diabetes knowledge, which in turn, can positively affect diabetes self-management.

Entities:  

Keywords:  Diabetic retinopathy; Health beliefs; Self-management; Social support; Structural equation modeling

Mesh:

Year:  2016        PMID: 27592109     DOI: 10.1007/s11136-016-1396-1

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  24 in total

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