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Validity of self-reported educational level in the Tromsø Study.
Chi Q Vo1, Per-Jostein Samuelsen1,2, Hilde L Sommerseth3
1Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Scandinavian Journal of Public Health
|May 20, 2022
Summary
Self-reported educational level in the Tromsø Study is generally accurate. However, using this data may weaken the observed associations between education and cardiometabolic diseases compared to registry data.
Area of Science:
- Public Health
- Epidemiology
- Sociology
Background:
- Self-reported educational data has been collected in the Tromsø Study for decades.
- The validity of this self-reported educational data has not been previously established.
Purpose of the Study:
- To assess the completeness and correctness of self-reported educational level against Statistics Norway data.
- To examine the impact of using self-reported versus registry-based educational data on observed trends in cardiometabolic diseases.
Main Methods:
- A comparison of self-reported and Statistics Norway-recorded educational levels for 20,615 participants in the Tromsø Study (Tromsø7, 2015-2016).
- Validity metrics including sensitivity, positive predictive value, and weighted kappa were calculated across different age groups and sexes.
- Multivariable logistic regression analyzed educational trends in cardiometabolic diseases using both data sources.
Main Results:
- Sensitivity for self-reported higher education (college/university ⩾4 years) was high (⩾97%).
- Sensitivity for primary education ranged from 67% to 92%.
- Positive predictive values were lower for higher education among women (29-46%), and weighted kappa indicated moderate to substantial agreement.
- Observed educational trends in cardiometabolic disease risk were less pronounced with self-reported data.
Conclusions:
- Self-reported educational level in the Tromsø7 cohort is sufficiently complete and correct for use.
- Self-reported educational data may attenuate associations between education and cardiometabolic diseases compared to registry-based data.
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