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Validity of self-reported educational level in the Tromsø Study

Chi Quynh Vo, Per‐Jostein Samuelsen, Hilde Leikny Sommerseth, Torbjørn Wisløff, Tom Wilsgaard, Anne Elise Eggen

2022Scandinavian Journal of Public Health23 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Self-reported data on educational level have been collected for decades in the Tromsø Study, but their validity has yet to be established. AIM: To investigate the completeness and correctness of self-reported educational level in the Tromsø Study, using data from Statistics Norway. In addition, we explored the consequence of using these two data sources on educational trends in cardiometabolic diseases. METHODS: We compared self-reported and Statistics Norway-recorded educational level (primary, upper secondary, college/university <4 years, and college/university ⩾4 years) among 20,615 participants in the seventh survey of the Tromsø Study (Tromsø7, 2015-2016). Sensitivity, positive predictive value and weighted kappa were used to measure the validity of self-reported educational level in three age groups (40-52, 53-62, 63-99 years). Multivariable logistic regression was used to compare educational trends in cardiometabolic diseases between self-reported and Statistics Norway-recorded educational level. RESULTS: Sensitivity of self-reported educational level was highest among those with a college/university education of 4 years or more (⩾97% in all age groups and both sexes). Sensitivity for primary educational level ranged from 67% to 92% (all age groups and both sexes). The lowest positive predictive value was observed among women with a college/university education of 4 years or more (29-46%). Weighted kappa was substantial (0.52-0.59) among men and moderate to substantial (0.41-0.51) among women. Educational trends in the risk of cardiometabolic diseases were less pronounced when self-reported educational level was used.

Topics & Concepts

DemographyMedicineLogistic regressionEducational attainmentGerontologyKappaCohen's kappaPsychologyStatisticsMathematicsSociologyEconomic growthEconomicsGeometryInternal medicineHealth Promotion and Cardiovascular PreventionReliability and Agreement in MeasurementHealth disparities and outcomes