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Abstract：
BACKGROUND: General population normative values for the widely used health-related quality of life (HRQoL) measure EORTC QLQ-C30 support the interpretation of trial results and HRQoL of patients in clinical practice. Here, we provide sex-, age- and health condition-specific normative values for the EORTC QLQ-C30 in the French general population.
METHODS: French general population data was collected in an international EORTC project. Online panels with quota samples were used to recruit sex and age groups. Number and type of comorbidities were assessed. Descriptive statistics were used to calculate general population values for each QLQ-C30 scale, separately for sex, age, and presence of one- and more chronic health conditions. A multivariate linear regression model has been developed to allow estimating the effect of sex, age, and the presence for one- and more chronic health conditions on EORTC QLQ-C30 scores. Data was weighted according to United Nation statistics adjusting for the proportion of sex and age groups.
RESULTS: In total, 1001 French respondents were included in our analyses. The weighted mean age was 47.9 years, 514 (51.3%) participants were women, and 497 (52.2%) participants reported at least one health condition. Men reported statistically significant better scores for Emotional Functioning (+9.6 points, p = 0.006) and Fatigue (-7.8 point; p = 0.04); women reported better profiles for Role Functioning (+8.7 points; p = 0.008) and Financial Difficulty (-7.8 points, p = 0.011). According to the regression model, the sex effect was statistically significant in eight scales; the effect of increasing age had a statistically significant effect on seven of the 15 EORTC QLQ-C30 scales. The sex- and age effect varied in its direction across the various scales. The presence of health conditions showed a strong negative effect on all scales.
CONCLUSIONS: This is the first publication of detailed French normative values for the EORTC QLQ-C30. It aims to support the interpretation of HRQoL profiles in French cancer populations. The strong impact of health conditions on QLQ-C30 scores highlights the importance of considering the impact of comorbidities in cancer patients when interpreting HRQoL data.
METHODS: French general population data was collected in an international EORTC project. Online panels with quota samples were used to recruit sex and age groups. Number and type of comorbidities were assessed. Descriptive statistics were used to calculate general population values for each QLQ-C30 scale, separately for sex, age, and presence of one- and more chronic health conditions. A multivariate linear regression model has been developed to allow estimating the effect of sex, age, and the presence for one- and more chronic health conditions on EORTC QLQ-C30 scores. Data was weighted according to United Nation statistics adjusting for the proportion of sex and age groups.
RESULTS: In total, 1001 French respondents were included in our analyses. The weighted mean age was 47.9 years, 514 (51.3%) participants were women, and 497 (52.2%) participants reported at least one health condition. Men reported statistically significant better scores for Emotional Functioning (+9.6 points, p = 0.006) and Fatigue (-7.8 point; p = 0.04); women reported better profiles for Role Functioning (+8.7 points; p = 0.008) and Financial Difficulty (-7.8 points, p = 0.011). According to the regression model, the sex effect was statistically significant in eight scales; the effect of increasing age had a statistically significant effect on seven of the 15 EORTC QLQ-C30 scales. The sex- and age effect varied in its direction across the various scales. The presence of health conditions showed a strong negative effect on all scales.
CONCLUSIONS: This is the first publication of detailed French normative values for the EORTC QLQ-C30. It aims to support the interpretation of HRQoL profiles in French cancer populations. The strong impact of health conditions on QLQ-C30 scores highlights the importance of considering the impact of comorbidities in cancer patients when interpreting HRQoL data.
摘要：
背景：用于广泛使用的健康相关生活质量（HRQoL）度量的一般人群标准值EORTCQLQ-C30支持临床实践中对患者的试验结果和HRQoL的解释。这里,我们提供性别-，法国普通人群EORTCQLQ-C30的年龄和健康状况特定标准值。
方法：法国一般人群数据是在一个国际EORTC项目中收集的。带有配额样本的在线小组用于招募性别和年龄组。评估合并症的数量和类型。描述性统计用于计算每个QLQ-C30量表的一般人群值，分开做爱，年龄,以及存在一种和更多的慢性健康状况。已经开发了一个多元线性回归模型来估计性别的影响，年龄,以及EORTCQLQ-C30评分中存在一种和更多种慢性健康状况。数据根据联合国统计数据进行加权，以调整性别和年龄组的比例。
结果：总计，1001名法国受访者被纳入我们的分析。加权平均年龄为47.9岁，514名（51.3%）参与者是女性，497名(52.2%)参与者报告了至少一种健康状况。男性报告的情绪功能得分在统计学上显着提高（9.6分，p=0.006）和疲劳（-7.8分；p=0.04）；女性报告了角色功能（8.7分；p=0.008）和经济困难（-7.8分，p=0.011)。根据回归模型，性别效应在8个量表中具有统计学意义;年龄增长效应对15个EORTCQLQ-C30量表中的7个具有统计学意义.性别和年龄效应在各个尺度上的方向有所不同。健康状况的存在对所有规模都显示出强烈的负面影响。
结论：这是EORTCQLQ-C30的详细法国规范值的第一篇出版物。它旨在支持法国癌症人群中HRQoL谱的解释。健康状况对QLQ-C30评分的强烈影响突出了在解释HRQoL数据时考虑癌症患者合并症的影响的重要性。
方法：法国一般人群数据是在一个国际EORTC项目中收集的。带有配额样本的在线小组用于招募性别和年龄组。评估合并症的数量和类型。描述性统计用于计算每个QLQ-C30量表的一般人群值，分开做爱，年龄,以及存在一种和更多的慢性健康状况。已经开发了一个多元线性回归模型来估计性别的影响，年龄,以及EORTCQLQ-C30评分中存在一种和更多种慢性健康状况。数据根据联合国统计数据进行加权，以调整性别和年龄组的比例。
结果：总计，1001名法国受访者被纳入我们的分析。加权平均年龄为47.9岁，514名（51.3%）参与者是女性，497名(52.2%)参与者报告了至少一种健康状况。男性报告的情绪功能得分在统计学上显着提高（9.6分，p=0.006）和疲劳（-7.8分；p=0.04）；女性报告了角色功能（8.7分；p=0.008）和经济困难（-7.8分，p=0.011)。根据回归模型，性别效应在8个量表中具有统计学意义;年龄增长效应对15个EORTCQLQ-C30量表中的7个具有统计学意义.性别和年龄效应在各个尺度上的方向有所不同。健康状况的存在对所有规模都显示出强烈的负面影响。
结论：这是EORTCQLQ-C30的详细法国规范值的第一篇出版物。它旨在支持法国癌症人群中HRQoL谱的解释。健康状况对QLQ-C30评分的强烈影响突出了在解释HRQoL数据时考虑癌症患者合并症的影响的重要性。
