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Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model

Author

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  • Hyerang Kim

    (Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea)

  • Heesook Son

    (Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea)

Abstract

Older adults with diabetes appear more susceptible to fatigue compared to younger adults with diabetes or healthy older adults, since aging and diabetes independently and synergistically influence fatigue. Few studies have investigated fatigue in older adults with diabetes using a multidimensional approach. This study explored the influences of physical, psychological, interpersonal, and contextual factors on diabetes fatigue using a dynamic biopsychosocial model. Face-to-face surveys were administered to community-dwelling older adults with diabetes and included variables across four domains (i.e., physical, psychological, interpersonal, and contextual factors). Univariate analyses and multiple linear regression were used. The mean fatigue score was 3.94 (standard deviation (SD) = 1.81) out of 7, and the prevalence of fatigue was 48.8%. Significant differences in fatigue severity by psychological, interpersonal, and contextual factors were found. Comorbidity and psychological factors were significant predictors of fatigue in the model, explaining 31.9% of the variance. As nearly half the sample experienced moderate or severe fatigue, which was significantly influenced by both comorbidity and psychological factors, including depression, sleep quality, and diet-related psychological characteristics, assessing patients’ psychological status may be important. Awareness of fatigue could be incorporated into dietary interventions for older adults with diabetes.

Suggested Citation

  • Hyerang Kim & Heesook Son, 2019. "Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4502-:d:287148
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    References listed on IDEAS

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    1. Wei-Quan Lin & Meng-Juan Jing & Jie Tang & Jia-Ji Wang & Hui-Shan Zhang & Le-Xin Yuan & Pei-Xi Wang, 2015. "Factors Associated with Fatigue among Men Aged 45 and Older: A Cross-Sectional Study," IJERPH, MDPI, vol. 12(9), pages 1-13, September.
    2. Wegdan Bani‐issa & Arwa M Al‐Shujairi & Linda Patrick, 2018. "Association between quality of sleep and health‐related quality of life in persons with diabetes mellitus type 2," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(7-8), pages 1653-1661, April.
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    Cited by:

    1. Hyerang Kim & Heesook Son, 2020. "A Moderated-Mediation Model of the Relationship between Dietary Satisfaction and Fatigue in Older Adults with Diabetes: The Role of Meal Planning and Depressive Symptoms," IJERPH, MDPI, vol. 17(23), pages 1-14, November.
    2. Julija Gecaite-Stonciene & Adomas Bunevicius & Julius Burkauskas & Julija Brozaitiene & Julius Neverauskas & Narseta Mickuviene & Nijole Kazukauskiene, 2020. "Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients," IJERPH, MDPI, vol. 17(21), pages 1-17, October.

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