Factors Predicting Fatigue in Pulmonary Tuberculosis Patients  Receiving Anti-Tuberculosis Drugs

Wipratchaya  Thedthong; Wimolrat Puwarawuttipanich; Chongjit  Saneha; Yong  Rongrunguang

doi:10.33192/Smj.2021.22

Authors

Wipratchaya Thedthong Master of Nursing Science Program in Adult and Gerontological Nursing, Faculty of Nursing, Mahidol University, Bangkok 10700, Thailand https://orcid.org/0000-0002-9503-5630
Wimolrat Puwarawuttipanich Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok 10700, Thailand https://orcid.org/0000-0001-5274-9943
Chongjit Saneha Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok 10700, Thailand https://orcid.org/0000-0002-8051-2123
Yong Rongrunguang Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand https://orcid.org/0000-0002-3234-9448

DOI:

https://doi.org/10.33192/Smj.2021.22

Keywords:

Depression, fatigue, nutritional status, pulmonary tuberculosis patients, sleep quality

Abstract

Objective: To explore the predictive factors on fatigue among pulmonary tuberculosis patients receiving anti-tuberculosis drugs.
Methods: This study is a predictive correlational research designed. The sample was comprised of 125 patients at the out-patient department, a tertiary hospital in Bangkok setting. The data were collected between January to February 2020. The questionnaires included mini-cognitive assessment instrument (Mini-Cog); the demographic characteristics questionnaire; Piper fatigue scale-12 (PFS-12); Nutrition alert form (NAF); the Pittsburgh sleep quality index (PSQI); and the Center for epidemiologic studies depression scale (CES-D). All data were analyzed by using descriptive statistics and multiple regression analysis.
Results: The sample had a mean age of 58.45 years (SD = 15.374) of which 60.8% were males. Overall, the mean score of fatigue was a moderate level (Mean = 4.90, SD = 2.455). From the multiple regression analysis, age, nutritional status, sleep quality, and depression could explain the variances on fatigue in the sample group as 52.5% (R² = .525, F = 33.119, p < .001). Nutritional status, sleep quality, and depression are the variables found to be capable in predicting fatigue of pulmonary tuberculosis patients with statistical significance (β = .316, p < .001, β = .226, p < .05 and β = .340, p < .001).
Conclusion: Nutritional status, sleep quality, and depression could affect fatigue. Healthcare teams should assess patients to prevent and manage the aforementioned symptoms to reduce suffering from fatigue and a better quality of life.

Author Biographies

Wimolrat Puwarawuttipanich, Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok 10700, Thailand

Chongjit Saneha, Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok 10700, Thailand

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