Inconsistencies in self-reported diabetes in a large panel study: the Survey of Health, Ageing and Retirement in Europe (SHARE)

The validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsist...

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Bibliographic Details
Published in:BMC medical research methodology 2024-01, Vol.24 (1), p.7-7, Article 7
Main Authors: Kowall, Bernd, Girschik, Carolin, Stolpe, Susanne
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Aging
Care and treatment
Chronic diseases
Chronic illnesses
Data analysis
Diabetes
Diabetes mellitus
Diabetes Mellitus - diagnosis
Diabetes Mellitus - epidemiology
Diagnosis
Disease
Europe - epidemiology
Evaluation
Gastrointestinal surgery
Health surveys
Humans
Hyperglycemia
Hypoglycemic Agents
Longitudinal studies
Longitudinal study
Medical records
Medical research
Medicine, Experimental
Panel study
Reliability
Reproducibility of Results
Retirement
Self Report
Self-care, Health
Stroke
Surveys
Type 2 diabetes
Variables
Weight control
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Summary:The validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsistent self-reports of diabetes in a long panel study. SHARE (Survey of Health, Ageing and Retirement in Europe) includes 140,000 persons aged ≥ 50 years from 28 European countries and Israel. We used data from waves 1 to 7 (except wave 3) collected between 2004 and 2017. Diabetes was assessed by self-report. An inconsistent report for diabetes was defined as reporting the condition in one wave, but denying it in at least one later wave. The analysis data set included 13,179 persons who reported diabetes, and answered the question about diabetes in at least one later wave. Log-binomial regression models were fitted to estimate crude and adjusted relative risks (RR) with 95% confidence intervals (CI) for the associations between various exposure variables and inconsistent report of diabetes. The proportion of persons with inconsistent self-reports of diabetes was 33.0% (95% CI: 32.2%-33.8%). Inconsistencies occurred less often in persons taking antidiabetic drugs (RR = 0.53 (0.53-0.56)), persons with BMI ≥ 35 kg/m versus BMI 
ISSN:1471-2288
1471-2288
DOI:10.1186/s12874-023-02137-7