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ADAPTATION OF THE LOCKDOWN FATIGUE SCALE INTO TURKISH AND EXAMINATION OF ITS PSYCHOMETRIC PROPERTIES
Nobel Medicus ; 18(2):116-124, 2022.
Article in Turkish | Scopus | ID: covidwho-2027008
ABSTRACT

Objective:

It was aimed to adapt the Lockdown Fatigue Scale into Turkish and to analyze the psychometric properties of the scale. Material and

Method:

The research was carried out with 368 people aged 18 and over, whose consent was taken. Personal information form, Lockdown Fatigue Scale and Chalder Fatigue Scale were used to collect data. In the evaluation of the data, explaratory and confirmatory factor analysis for structure validity, Cronbach alpha and item test-retest were used to ensure reliability. Mann-Whitney U-test and Kruskal-Wallis test were used to compare the scores obtained in the scale according to psychometric properties.

Results:

The Cronbach's alpha value of the 5-point Likert-type, single-factor, 10-item scale was found to be 0.91. The total variance explained by the factor regarding the scale is 56.36%, the content validity index is 0.90, and the test-retest reliability value is 0.85. The correlation between the adapted scale and the Chalder Fatigue Scale was 0.75. Item factor loads varied between 0.493 and 0.884. The participants' mean scores on the scale were 30.91±9.48, and they had high fatigue. In addition, 1.3% of the participants had low, 29.6% moderate, 39.9% high, 29.2% severe fatigue. The scale score differed according to the participants' gender (p<0.001), marital status (p<0.001), having COVID-19 (p=0.006), place of residence (p=0.031), educational status (p=0.007), and usual compared with the current state of fatigue (p<0.001).

Conclusion:

The Turkish version of the Lockdown Fatigue Scale is a valid and reliable for measuring the fatigue caused by the pandemic-related closure in individuals aged eighteen and older. © 2022, Nobelmedicus. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Language: Turkish Journal: Nobel Medicus Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Language: Turkish Journal: Nobel Medicus Year: 2022 Document Type: Article