TY - JOUR
T1 - Fatigue following type 2 diabetes
T2 - Psychometric testing of the Indonesian version of the multidimensional fatigue Inventory-20 and unmet fatigue-related needs
AU - Romadlon, Debby Syahru
AU - Huang, Hui Chuan
AU - Chen, Yang Ching
AU - Hu, Sophia H.
AU - Hasan, Faizul
AU - Chiang Morales, Milton D.
AU - Marta, Ollyvia Freeska Dwi
AU - Al Baqi, Safiruddin
AU - Chiu, Hsiao Yean
N1 - Funding Information:
Ministry of Science and Technology, Taiwan (MOST 111-2628-B-038-008 and MOST 111-2314-B-038-033-MY3).
Publisher Copyright:
Copyright: © 2022 Romadlon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/11
Y1 - 2022/11
N2 - Patients with type 2 diabetes mellitus (T2DM) often experience fatigue. The Multidimensional Fatigue Inventory (MFI-20) is a valid tool for evaluating fatigue; however, its psychometric properties have not been examined in Indonesian-speaking patients with T2DM. This study assessed the psychometric properties of the Indonesian version of the Multidimensional Fatigue Inventory-20 (IMFI-20) in patients with T2DM and investigated fatigue in a health-care setting. A cross-sectional design was adopted. Two hundred patients with T2DM were interviewed in clinics. Five self-structured measures were used to assess the frequency and duration of fatigue and the health-care utilization of patients with fatigue. Cronbach’s alpha and intraclass correlation (ICC) were used to evaluate the internal consistency and test–retest reliability of the Indonesian version of the MFI-20 (IMFI-20). The criterion, convergent, and known-group validity of the IMFI-20 were also examined, and its underlying structure was determined using explanatory factor analysis. The STROBE checklist was used. The results revealed that approximately half of the patients experienced fatigue. Among those with fatigue, 62% reported that their fatigue was rarely or never treated by their physicians. The IMFI-20 exhibited satisfactory model fit, excellent internal consistency (Cronbach’s alpha of 0.92), and test–retest ICC of 0.93. The IMFI-20 was significantly associated with the Functional Assessment of Chronic Illness Therapy–Fatigue, Beck Depression Inventory-Second Edition, and Pittsburgh Sleep Quality Index (r = 0.705, 0.670, and 0.581, respectively). The IMFI-20 exhibited known-group validity for unfavorable sleep quality and HbA1C ≥ 6.5%. Our findings suggest that patients with T2DM who experience fatigue are often overlooked by health-care providers, and that the IMFI-20, which exhibits excellent psychometric properties, can be adopted by studies that use fatigue as an endpoint in Indonesian-speaking populations.
AB - Patients with type 2 diabetes mellitus (T2DM) often experience fatigue. The Multidimensional Fatigue Inventory (MFI-20) is a valid tool for evaluating fatigue; however, its psychometric properties have not been examined in Indonesian-speaking patients with T2DM. This study assessed the psychometric properties of the Indonesian version of the Multidimensional Fatigue Inventory-20 (IMFI-20) in patients with T2DM and investigated fatigue in a health-care setting. A cross-sectional design was adopted. Two hundred patients with T2DM were interviewed in clinics. Five self-structured measures were used to assess the frequency and duration of fatigue and the health-care utilization of patients with fatigue. Cronbach’s alpha and intraclass correlation (ICC) were used to evaluate the internal consistency and test–retest reliability of the Indonesian version of the MFI-20 (IMFI-20). The criterion, convergent, and known-group validity of the IMFI-20 were also examined, and its underlying structure was determined using explanatory factor analysis. The STROBE checklist was used. The results revealed that approximately half of the patients experienced fatigue. Among those with fatigue, 62% reported that their fatigue was rarely or never treated by their physicians. The IMFI-20 exhibited satisfactory model fit, excellent internal consistency (Cronbach’s alpha of 0.92), and test–retest ICC of 0.93. The IMFI-20 was significantly associated with the Functional Assessment of Chronic Illness Therapy–Fatigue, Beck Depression Inventory-Second Edition, and Pittsburgh Sleep Quality Index (r = 0.705, 0.670, and 0.581, respectively). The IMFI-20 exhibited known-group validity for unfavorable sleep quality and HbA1C ≥ 6.5%. Our findings suggest that patients with T2DM who experience fatigue are often overlooked by health-care providers, and that the IMFI-20, which exhibits excellent psychometric properties, can be adopted by studies that use fatigue as an endpoint in Indonesian-speaking populations.
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U2 - 10.1371/journal.pone.0278165
DO - 10.1371/journal.pone.0278165
M3 - Article
C2 - 36441696
AN - SCOPUS:85142940151
SN - 1932-6203
VL - 17
JO - PLoS ONE
JF - PLoS ONE
IS - 11 November
M1 - e0278165
ER -
