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A Conceptual Model for Quality of Life Among People with Type 2 Diabetes in the Philippines.
Aoto, Haruka; Tanimura, Chika; Majbauddin, Abir; Kobayashi, Nobuyuki; Morita, Tetsuji; Inoue, Kazuoki; Otani, Shinji; Fukada, Mika; Hanaki, Keiichi.
Affiliation
  • Aoto H; School of Health Science, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
  • Tanimura C; School of Health Science, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
  • Majbauddin A; †International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan.
  • Kobayashi N; ‡Arid Land Research Center, Tottori University, Tottori 680-0001, Japan.
  • Morita T; §Tottori western Medical Association Department of Rehabilitation Misasa onsen Hospital, Touhaku 682-0122, Japan.
  • Inoue K; ||Department of Community-based Family Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
  • Otani S; †International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan.
  • Fukada M; School of Health Science, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
  • Hanaki K; School of Health Science, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yonago Acta Med ; 62(1): 53-61, 2019 Mar.
Article in En | MEDLINE | ID: mdl-30962745
ABSTRACT

BACKGROUND:

The increased prevalence of chronic diseases is a social issue in developing countries.

METHODS:

To create a conceptual model representing the quality of life of low-income people with type 2 diabetes in the Philippines, 117 low-income adult participants in a public support group were studied, and the Physical Component Summary (PCS) and Mental Component Summary (MCS) scores on quality of life (QOL) were analyzed in terms of their relationships with the following factors basic attributes, physical factors (glycated hemoglobin level, complications, comorbidities, and symptoms), social factors (support, education, and financial status), and cognitive factors (knowledge, attitude, self-efficacy, and self-management behavior).

RESULTS:

Based on correlation coefficients among variables and goodness-of-fit test results through a path analysis, 2 models representing causal relationships were created, both of which showed sufficient goodness-of-fit.

CONCLUSION:

Glycated hemoglobin levels, knowledge of blood glucose levels, self-efficacy, and self-management behavior (exercise) influenced PCS scores, while age, glycated hemoglobin levels, neuropathy, knowledge of insulin, self-efficacy, and self-management behavior (exercise) influenced MCS scores. The influence of self-efficacy was prominent in both cases, providing an important insight for healthcare professionals to develop effective support methods.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality / Patient_preference Language: En Journal: Yonago Acta Med Year: 2019 Document type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality / Patient_preference Language: En Journal: Yonago Acta Med Year: 2019 Document type: Article Affiliation country: Japan