Chung-Ying Lin1, Yueh-Ping Li2, Sang-I Lin3, Ching-Huey Chen4. 1. Department of Rehabilitation Sciences,Faculty of Health and Social Sciences,The Hong Kong Polytechnic University,Hung Hom,Kowloon,Hong Kong. 2. Department of Nursing,College of Medicine and Life Science,Chung Hwa University of Medical Technology,Tainan,Taiwan. 3. Department of Physical Therapy,Institute of Allied Health Sciences,National Cheng Kung University,Tainan,Taiwan. 4. Department of Nursing,Chang Jung Christian University,Tainan,Taiwan.
Abstract
BACKGROUND: The WHOQOL-BREF, a generic quality of life (QoL) instrument, has been widely used clinically and for research on older populations. However, its measurement equivalence/invariance (ME/I) has not been well examined for the elderly (≥ 65 years) across some different demographics. METHODS: The data were derived from a cross-sectional study with a convenience sampling design in Taiwan. We enrolled 244 elderly participants: men = 143 (58.6%); educational level ≤ primary school = 121 (49.6%). The ME/I was examined using multiple group confirmatory factor analysis (MGCFA) across gender and educational level. RESULTS: The fit indices were satisfactory for the configural models of gender and educational level (standardized root mean square residual [SRMR] = 0.0742 and 0.0770; root mean square error of approximation [RMSEA] = 0.0655 and 0.0686; comparative fit index [CFI] = 0.953). In addition, MGCFAs showed that ME/I was supported across gender (ΔSRMR = 0.001 to 0.019; ΔRMSEA = -0.003 to 0.001; ΔCFI = -0.003 to 0.000) and educational level (ΔSRMR = 0.002 to 0.006; ΔRMSEA = -0.002 to 0.004; ΔCFI = -0.007 to 0.000). CONCLUSION: The WHOQOL-BREF Taiwan version is appropriate for combined use and for comparisons in older people across gender and different educational levels.
BACKGROUND: The WHOQOL-BREF, a generic quality of life (QoL) instrument, has been widely used clinically and for research on older populations. However, its measurement equivalence/invariance (ME/I) has not been well examined for the elderly (≥ 65 years) across some different demographics. METHODS: The data were derived from a cross-sectional study with a convenience sampling design in Taiwan. We enrolled 244 elderly participants: men = 143 (58.6%); educational level ≤ primary school = 121 (49.6%). The ME/I was examined using multiple group confirmatory factor analysis (MGCFA) across gender and educational level. RESULTS: The fit indices were satisfactory for the configural models of gender and educational level (standardized root mean square residual [SRMR] = 0.0742 and 0.0770; root mean square error of approximation [RMSEA] = 0.0655 and 0.0686; comparative fit index [CFI] = 0.953). In addition, MGCFAs showed that ME/I was supported across gender (ΔSRMR = 0.001 to 0.019; ΔRMSEA = -0.003 to 0.001; ΔCFI = -0.003 to 0.000) and educational level (ΔSRMR = 0.002 to 0.006; ΔRMSEA = -0.002 to 0.004; ΔCFI = -0.007 to 0.000). CONCLUSION: The WHOQOL-BREF Taiwan version is appropriate for combined use and for comparisons in older people across gender and different educational levels.
Authors: Mary H Kalfoss; Randi J Reidunsdatter; Christian A Klöckner; Marianne Nilsen Journal: Health Qual Life Outcomes Date: 2021-01-07 Impact factor: 3.186
Authors: Noélle de Oliveira Freitas; Carlos García Forero; Marina Paes Caltran; Jordi Alonso; Rosana A Spadoti Dantas; Monica Sarto Piccolo; Jayme Adriano Farina; John W Lawrence; Lidia A Rossi Journal: PLoS One Date: 2018-01-30 Impact factor: 3.240
Authors: Zainab Alimoradi; David Gozal; Hector W H Tsang; Chung-Ying Lin; Anders Broström; Maurice M Ohayon; Amir H Pakpour Journal: J Sleep Res Date: 2021-07-09 Impact factor: 5.296