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Health Qual Life Outcomes ; 19(1): 208, 2021 Aug 30.
Article in English | MEDLINE | ID: mdl-34461909

ABSTRACT

PURPOSE: General population normative data for the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 questionnaire facilitates interpretation of data assessed from cancer patients. This study aims to present normative data of the general Spanish population. METHODS/PATIENTS: Data were obtained from a prior larger study collecting EORTC QLQ-C30 norm data across 15 countries. Data were stratified by sex and age groups (18-39, 40-49, 50-59, 60-69 and > 70 years). Sex and age distribution were weighted according to population distribution statistics. Sex- and age-specific normative values were analysed separately, as were participants with versus those without health conditions. Multiple linear regression was used to estimate the association of each of the EORTC QLQ-C30 scales with the determinants age, sex, sex-by-age interaction term, and health condition. RESULTS: In total, 1,165 Spanish individuals participated in the study. Differences were found by sex and age. The largest sex-related differences were seen in fatigue, emotional functioning, and global QOL (Quality of Life), favouring men. The largest age differences were seen in emotional functioning, insomnia, and pain, with middle-aged groups having the worst scores. Those > 60 years old scored better than those < 60 years old on all scales except for physical functioning. Participants with no health conditions scored better in all QLQ-C30 domains. CONCLUSIONS: The present study highlights differences in HRQOL between specific sex/age strata and especially between people with and without a health condition in the general Spanish population. These factors must be considered when comparing general population HRQOL data with that of cancer patients.


Subject(s)
Health Status , Health Surveys/statistics & numerical data , Neoplasms/therapy , Quality of Life/psychology , Surveys and Questionnaires/standards , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Data Analysis , Fatigue/epidemiology , Female , Humans , Infant, Newborn , Male , Middle Aged , Neoplasms/psychology , Sex Distribution , Socioeconomic Factors , Spain/epidemiology , Young Adult
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