Qual Life Res. 2026 May 3;35(6):135. doi: 10.1007/s11136-026-04245-5.
ABSTRACT
PURPOSE: This study aimed to identify subgroups of health-related quality of life (HRQoL) and examine predictors of latent class membership among low- and high-income cancer survivors using latent class analysis (LCA).
METHODS: We analyzed data from the Korea National Health and Nutrition Examination Survey (2013-2020), including 1075 cancer survivors. HRQoL patterns were identified using LCA based on the EuroQol five-dimension questionnaire. Analyses were conducted separately for low- and high-income groups to examine income-stratified HRQoL patterns. Sociodemographic characteristics and chronic disease status were included as covariates in the latent class models to examine predictors of class membership within each income group.
RESULTS: Income-stratified LCAs suggested differential HRQoL patterns. Three latent HRQoL classes were identified in the low-income group: Good HRQoL, Pain and Mobility Impairment, and Poor HRQoL. In the high-income group, two classes were identified: Good HRQoL and Pain and Mobility Impairment. While education was a common predictor in both groups, other predictors varied by income level. In the low-income group, older age, unemployment, and multimorbidity were significantly associated with impaired HRQoL classes, whereas female sex predicted membership in the Pain and Mobility Impairment class in the high-income group.
CONCLUSION: These findings highlight differences in HRQoL patterns and associated factors across income-stratified groups of cancer survivors, underscoring the limitations of relying solely on average HRQoL scores in survivorship care. Survivorship strategies should be tailored to the differential HRQoL patterns and associated predictors identified within each income group, thereby promoting more targeted and equitable care for cancer survivors.
PMID:42070164 | DOI:10.1007/s11136-026-04245-5
