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Validity of Self-reported Educational Level in the Tromsø Study

Overview
Publisher Sage Publications
Specialty Public Health
Date 2022 May 20
PMID 35593433
Authors
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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.

Conclusions:

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References
1.
Jankovic S, Stojisavljevic D, Jankovic J, Eric M, Marinkovic J . Association of socioeconomic status measured by education, and cardiovascular health: a population-based cross-sectional study. BMJ Open. 2014; 4(7):e005222. PMC: 4120304. DOI: 10.1136/bmjopen-2014-005222. View

2.
Eggen A, Mathiesen E, Wilsgaard T, Jacobsen B, Njolstad I . The sixth survey of the Tromso Study (Tromso 6) in 2007-08: collaborative research in the interface between clinical medicine and epidemiology: study objectives, design, data collection procedures, and attendance in a multipurpose population-based.... Scand J Public Health. 2013; 41(1):65-80. DOI: 10.1177/1403494812469851. View

3.
Galobardes B, Shaw M, Lawlor D, Lynch J, Davey Smith G . Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2005; 60(1):7-12. PMC: 2465546. DOI: 10.1136/jech.2004.023531. View

4.
Sjostrom O, Holst D . Validity of a questionnaire survey: response patterns in different subgroups and the effect of social desirability. Acta Odontol Scand. 2002; 60(3):136-40. DOI: 10.1080/000163502753740133. View

5.
Hogan W, Wagner M . Accuracy of data in computer-based patient records. J Am Med Inform Assoc. 1997; 4(5):342-55. PMC: 61252. DOI: 10.1136/jamia.1997.0040342. View