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Normative data for the EORTC QLQ-C30 from the Austrian general population

BACKGROUND: The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 is a widely used cancer-specific questionnaire assessing 15 domains of health-related quality of life (HRQoL). Our aim was to facilitate the interpretation of scores on this questionnaire by providing Austrian...

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Autores principales: Lehmann, Jens, Giesinger, Johannes M., Nolte, Sandra, Sztankay, Monika, Wintner, Lisa M., Liegl, Gregor, Rose, Matthias, Holzner, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425034/
https://www.ncbi.nlm.nih.gov/pubmed/32787854
http://dx.doi.org/10.1186/s12955-020-01524-8
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author Lehmann, Jens
Giesinger, Johannes M.
Nolte, Sandra
Sztankay, Monika
Wintner, Lisa M.
Liegl, Gregor
Rose, Matthias
Holzner, Bernhard
author_facet Lehmann, Jens
Giesinger, Johannes M.
Nolte, Sandra
Sztankay, Monika
Wintner, Lisa M.
Liegl, Gregor
Rose, Matthias
Holzner, Bernhard
author_sort Lehmann, Jens
collection PubMed
description BACKGROUND: The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 is a widely used cancer-specific questionnaire assessing 15 domains of health-related quality of life (HRQoL). Our aim was to facilitate the interpretation of scores on this questionnaire by providing Austrian normative data based on a general population sample. METHODS: The calculation of normative data was based on the EORTC QLQ-C30 data collected from an Austrian general population sample that was part of an international online panel study on the development of European normative data. Data reported herein were stratified and weighted by age and sex. Normative data were calculated for all 15 HRQoL domains of the EORTC QLQ-C30. For precise predictions of EORTC QLQ-C30 scores, a regression model based on sex, age and the presence of health conditions was built. RESULTS: The Austrian sample comprised 1002 Austrian participants (50.1% female, 51.4% when weighted by age and sex based on United Nation statistics). The mean age was 53.7 years (weighted: 47.7 years) and 53.6% (weighted: 47.4%) reported at least one health condition. Men reported better physical (Cohen’s d = 0.17) and emotional (Cohen’s d = 0.17) functioning as well as less fatigue (Cohen’s d = 0.18) and insomnia (Cohen’s d = 0.25) compared with women. Younger individuals (< 40 years) reported less dyspnea (Cohen’s d = 0.61) and pain (Cohen’s d = 0.51), whereas older individuals (≥60 years) reported better emotional functioning (Cohen’s d = 0.55). CONCLUSIONS: We present Austrian normative data for the EORTC QLQ-C30. Differences by age and sex are mostly in line with the findings of other European normative studies. The Austrian population sample shows higher HRQoL and lower morbidity compared with other European countries. The normative data in this study will facilitate the interpretation of EORTC QLQ-C30 scores in oncological practice and research at a national and international level (including cross-cultural comparisons).
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spelling pubmed-74250342020-08-16 Normative data for the EORTC QLQ-C30 from the Austrian general population Lehmann, Jens Giesinger, Johannes M. Nolte, Sandra Sztankay, Monika Wintner, Lisa M. Liegl, Gregor Rose, Matthias Holzner, Bernhard Health Qual Life Outcomes Research BACKGROUND: The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 is a widely used cancer-specific questionnaire assessing 15 domains of health-related quality of life (HRQoL). Our aim was to facilitate the interpretation of scores on this questionnaire by providing Austrian normative data based on a general population sample. METHODS: The calculation of normative data was based on the EORTC QLQ-C30 data collected from an Austrian general population sample that was part of an international online panel study on the development of European normative data. Data reported herein were stratified and weighted by age and sex. Normative data were calculated for all 15 HRQoL domains of the EORTC QLQ-C30. For precise predictions of EORTC QLQ-C30 scores, a regression model based on sex, age and the presence of health conditions was built. RESULTS: The Austrian sample comprised 1002 Austrian participants (50.1% female, 51.4% when weighted by age and sex based on United Nation statistics). The mean age was 53.7 years (weighted: 47.7 years) and 53.6% (weighted: 47.4%) reported at least one health condition. Men reported better physical (Cohen’s d = 0.17) and emotional (Cohen’s d = 0.17) functioning as well as less fatigue (Cohen’s d = 0.18) and insomnia (Cohen’s d = 0.25) compared with women. Younger individuals (< 40 years) reported less dyspnea (Cohen’s d = 0.61) and pain (Cohen’s d = 0.51), whereas older individuals (≥60 years) reported better emotional functioning (Cohen’s d = 0.55). CONCLUSIONS: We present Austrian normative data for the EORTC QLQ-C30. Differences by age and sex are mostly in line with the findings of other European normative studies. The Austrian population sample shows higher HRQoL and lower morbidity compared with other European countries. The normative data in this study will facilitate the interpretation of EORTC QLQ-C30 scores in oncological practice and research at a national and international level (including cross-cultural comparisons). BioMed Central 2020-08-12 /pmc/articles/PMC7425034/ /pubmed/32787854 http://dx.doi.org/10.1186/s12955-020-01524-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lehmann, Jens
Giesinger, Johannes M.
Nolte, Sandra
Sztankay, Monika
Wintner, Lisa M.
Liegl, Gregor
Rose, Matthias
Holzner, Bernhard
Normative data for the EORTC QLQ-C30 from the Austrian general population
title Normative data for the EORTC QLQ-C30 from the Austrian general population
title_full Normative data for the EORTC QLQ-C30 from the Austrian general population
title_fullStr Normative data for the EORTC QLQ-C30 from the Austrian general population
title_full_unstemmed Normative data for the EORTC QLQ-C30 from the Austrian general population
title_short Normative data for the EORTC QLQ-C30 from the Austrian general population
title_sort normative data for the eortc qlq-c30 from the austrian general population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425034/
https://www.ncbi.nlm.nih.gov/pubmed/32787854
http://dx.doi.org/10.1186/s12955-020-01524-8
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