Yi Xiao1,2,3, Xiaoyan Huang1,2,3, Danrong Jing1,2,3, Yuzhou Huang1,2,3, Xingyu Zhang4, Zhihao Shu5, Zhijun Huang5, Juan Su1,2,3, Jie Li1,2,3, Jianglin Zhang1,2,3, Mingliang Chen1,2,3, Xiang Chen6,7,8, Minxue Shen9,10,11. 1. Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China. 2. Hunan Engineering Research Center of Skin Health and Disease, Changsha, China. 3. Hunan Key Laboratory of Skin Caner and Psoriasis, Changsha, China. 4. Department of Social Medicine and Health Management, Xiangya School of Public Health, Changsha, China. 5. Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China. 6. Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China. chenxiangck@126.com. 7. Hunan Engineering Research Center of Skin Health and Disease, Changsha, China. chenxiangck@126.com. 8. Hunan Key Laboratory of Skin Caner and Psoriasis, Changsha, China. chenxiangck@126.com. 9. Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China. shenmx1988@csu.edu.cn. 10. Hunan Engineering Research Center of Skin Health and Disease, Changsha, China. shenmx1988@csu.edu.cn. 11. Hunan Key Laboratory of Skin Caner and Psoriasis, Changsha, China. shenmx1988@csu.edu.cn.
Abstract
PURPOSE: The psychometric property of the Dermatology Life Quality Index (DLQI) is underappreciated in public health settings. Our study aimed to assess the reliability, validity, and measurement invariance of DLQI in a homogeneous population with arsenic-related skin lesions and symptoms. METHODS: A cross-sectional study was conducted in communities under lifetime arsenic exposure. The DLQI was measured through a face-to-face interview. Skin examinations were performed by certificated dermatologists. The intensity of itching was measured by a numerical rating scale. Reliability, structural validity, and measurement invariance were determined using classical and modern test theories, including confirmatory factor analysis and item response models. RESULTS: 465 participants with arsenic-related skin lesions and symptoms completed the DLQI assessment. The Cronbach's alpha was 0.79, and the split-half reliability was 0.77. A two-factor model exhibited the best model fit among models evaluated, but local dependencies among items were identified. The model showed good root mean square error of approximation (0.031) and acceptable Tucker-Lewis index (0.92). Multi-group confirmatory factor analysis showed no measurement invariance across subgroups of age, gender, ethnicity, and intensity of itching. CONCLUSIONS: The DLQI had acceptable psychometric properties, but measurement invariance was not observed across different groups of participants.
PURPOSE: The psychometric property of the Dermatology Life Quality Index (DLQI) is underappreciated in public health settings. Our study aimed to assess the reliability, validity, and measurement invariance of DLQI in a homogeneous population with arsenic-related skin lesions and symptoms. METHODS: A cross-sectional study was conducted in communities under lifetime arsenic exposure. The DLQI was measured through a face-to-face interview. Skin examinations were performed by certificated dermatologists. The intensity of itching was measured by a numerical rating scale. Reliability, structural validity, and measurement invariance were determined using classical and modern test theories, including confirmatory factor analysis and item response models. RESULTS: 465 participants with arsenic-related skin lesions and symptoms completed the DLQI assessment. The Cronbach's alpha was 0.79, and the split-half reliability was 0.77. A two-factor model exhibited the best model fit among models evaluated, but local dependencies among items were identified. The model showed good root mean square error of approximation (0.031) and acceptable Tucker-Lewis index (0.92). Multi-group confirmatory factor analysis showed no measurement invariance across subgroups of age, gender, ethnicity, and intensity of itching. CONCLUSIONS: The DLQI had acceptable psychometric properties, but measurement invariance was not observed across different groups of participants.
Entities:
Keywords:
Arsenic exposure; Dermatology Life Quality Index; Health-related quality of life; Item response theory
Authors: Tamar Nijsten; David M Meads; John de Korte; Francesca Sampogna; Joel M Gelfand; Katia Ongenae; Andrea W Evers; Matthias Augustin Journal: J Invest Dermatol Date: 2007-05-10 Impact factor: 8.551
Authors: Fanni Rencz; Ariel Z Mitev; Ákos Szabó; Zsuzsanna Beretzky; Adrienn K Poór; Péter Holló; Norbert Wikonkál; Miklós Sárdy; Sarolta Kárpáti; Andrea Szegedi; Éva Remenyik; Valentin Brodszky Journal: Qual Life Res Date: 2021-03-08 Impact factor: 4.147