Related Experiment Video
Updated: Jul 12, 2025

08:47
Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
12.8K
Comparison between Swedish EORTC QLQ-C30 general population norm data published in 2000 and 2019
Hemming Johansson1, Pernilla Lagergren2,3, Sandra Nolte4
1Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Acta Oncologica (Stockholm, Sweden)
|October 20, 2023
Summary
Swedish general population health-related quality of life (HRQoL) data from 1999 and 2019 were compared. The oldest age group (70-79 years) reported better HRQoL in 2019, while others showed mixed results, indicating potential changes over time.
Area of Science:
- Health Services Research
- Epidemiology
- Quality of Life Research
Background:
- Normative health-related quality of life (HRQoL) data are crucial for interpreting cancer patient outcomes in clinical trials.
- Swedish general population HRQoL data from 2000 and 2019 were compared to assess changes over time.
Purpose of the Study:
- To compare two Swedish normative HRQoL datasets (2000 and 2019).
- To explore changes in general population HRQoL in Sweden between 1999 and 2019.
Main Methods:
- Comparison of two Swedish general population samples: 'Sample 2000' (n=3069, 1999 mail survey) and 'Sample 2019' (n=1027, 2019 online panels).
- Data analyzed using the EORTC QLQ-C30 instrument, stratified by sex and age groups (40-79 years).
Main Results:
- No significant age-group differences in most HRQoL subscales between the two samples.
- The oldest age group (70-79 years) in Sample 2019 reported generally better HRQoL compared to Sample 2000.
- Sample 2019 showed lower Global quality of life and higher Dyspnoea levels across most age groups.
Conclusions:
- Most EORTC QLQ-C30 subscales showed no differences between the 2000 and 2019 Swedish normative datasets.
- The oldest age group (70-79 years) in the 2019 sample reported improved HRQoL.
- Consideration of data collection mode and age group is essential when selecting normative datasets for HRQoL interpretation.
Related Concept Videos
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Comparing the Survival Analysis of Two or More Groups
201
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
201

