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. 2025 May 23;15(1):17952.
doi: 10.1038/s41598-025-03349-1.

Psychometric properties of the Lithuanian version of the functionality appreciation scale

Affiliations

Psychometric properties of the Lithuanian version of the functionality appreciation scale

Migle Baceviciene et al. Sci Rep. .

Abstract

This study aimed to assess the psychometric properties of the Lithuanian translation of the Functionality Appreciation Scale (FAS). A sample (n = 759) of adults (424 women and 335 men; mean age 23.2 ± 7.1 and age range 18-44 years) participated in the cross-sectional study. Body functionality appreciation, body appreciation, self-esteem, disordered eating and physical activity habits were assessed. Exploratory factor analysis (EFA; n = 379) identified a unidimensional factor structure of FAS, supported by findings in a second split-subsample using confirmatory factor analysis (CFA, n = 380). FAS scores were invariant across gender groups. No mean score differences were observed between genders. Composite reliability of FAS was established in women (ω = 0.94, 95% CI = 0.92, 0.95) and men (ω = 0.92, 95% CI = 0.90, 0.94). Positive associations of FAS with body appreciation, self-esteem and physical activity habits and negative relationships with disordered eating and BMI (in women) confirmed construct validity. FAS predicted self-esteem over and above the variance accounted for by other study measures. The Lithuanian version of FAS is a psychometrically sound measure of body functionality appreciation. FAS might contribute to a comprehensive assessment of positive body image and can be used in various interventions.

Keywords: Appreciation; Body functionality; Factor structure; Lithuanian; Positive body image; Psychometrics.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Path diagram and estimates for the 1-dimensional model of Functionality Appreciation Scale scores in the second split-half subsample. The large oval is the latent variable, with the rectangles representing measured variables, and the small ellipses representing the residual variances). The path factor loadings are standardised (all p < .001)..

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