Analysis of the Types and Affecting Factors of Older People’s Health-related Quality of Life, Using Latent Class Analysis

Purpose@#This study aims to identify the types of health-related quality of life (QoL) based on the EuroQoL 5 Dimensions among community older people and predict the factors affecting these types. @*Methods@#This study used data from the 2016 Korea Health Panel Survey, whose participants included 3,848 older people. The data were analyzed using the software jamovi 1.2.17 and Mplus 8.2 for latent class analysis. @*Results@#The subgroups of the older people’s health-related QoL were identified as three latent classes: General stable type (43.9%), pain-related low type (35.0%), and general low type (21.1%). The types and characteristics of health-related QoL among the latent classes differed. Comparing the difference between the general low type and general stable type, the subjects showed higher probability of belonging to the general stable type when they were men, younger, higher education level, employment, better subjective health, lower BMI and stress level, and no suicidal ideation. A comparison between the general low type and the pain-related low type showed that the subjects were more likely to be classified as the pain-related low type when they were younger, higher education, employment, and better subjective health. @*Conclusion@#The results showed a significant heterogeneity in the types of health-related QoL among community older people, and the predictors for each type were not the same. These findings present basic data for cultivating nursing interventions that enhance health-related QoL.

Latent Class Analysis for Health-Related Quality of Life in the Middle-Aged Male in South Korea / 간호학회지

PURPOSE: This study aimed to identify types of quality of life (QoL) based on the 5 dimensions of EQ-5D and predict factors affecting types of QoL. METHODS: This study was a secondary analysis using data from the Korean Health Panel Survey-??2012). Participants were 2,071 middle-aged men who had completed the additional survey in 2012 and the data were analyzed using SPSS 20.0 and Mplus 5.21 for latent analysis. RESULTS: Three latent classes of QoL were identified: serious (2.4% of the sample), threatened (15.5%), and stable types (82.0%). The types and characteristics of QoL among the latent classes differed. On comparing latent type 1 with latent type 2, the socioeconomic status (p < .05), employment status (p < .05), and subjective health status (p < .001) were found to be significant. On comparing latent type 1 with latent type 3, the socioeconomic status (p < .05), current smoking status (p < .001), and subjective health status (p < .001) were found to be significant. On comparing latent type 2 with latent type 3, the socioeconomic status (p < .05), subjective health status (p < .001), stress (p < .001) were found to be significant. CONCLUSION: The results showed significant heterogeneity in types of QoL and the predictors of QoL by types were different. These findings provide basic information for developing nursing interventions to improve QoL. Specific characteristics depending on the subtypes should be considered during the development of interventions.

Latent Class Analysis for Health-Related Quality of Life in the Middle-Aged Male in South Korea

PURPOSE@#This study aimed to identify types of quality of life (QoL) based on the 5 dimensions of EQ-5D and predict factors affecting types of QoL.@*METHODS@#This study was a secondary analysis using data from the Korean Health Panel Survey-??2012). Participants were 2,071 middle-aged men who had completed the additional survey in 2012 and the data were analyzed using SPSS 20.0 and Mplus 5.21 for latent analysis.@*RESULTS@#Three latent classes of QoL were identified: serious (2.4% of the sample), threatened (15.5%), and stable types (82.0%). The types and characteristics of QoL among the latent classes differed. On comparing latent type 1 with latent type 2, the socioeconomic status (p < .05), employment status (p < .05), and subjective health status (p < .001) were found to be significant. On comparing latent type 1 with latent type 3, the socioeconomic status (p < .05), current smoking status (p < .001), and subjective health status (p < .001) were found to be significant. On comparing latent type 2 with latent type 3, the socioeconomic status (p < .05), subjective health status (p < .001), stress (p < .001) were found to be significant.@*CONCLUSION@#The results showed significant heterogeneity in types of QoL and the predictors of QoL by types were different. These findings provide basic information for developing nursing interventions to improve QoL. Specific characteristics depending on the subtypes should be considered during the development of interventions.