September 10, 2025Frontiers in EpidemiologyOpen Access

The impact of using self-report versus objective measures of cardiometabolic conditions in epidemiologic research: a case study from India using data from the longitudinal aging study in India

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Epidemiologic research reveals that self-reported data may underestimate cardiometabolic conditions, suggesting significant bias.

Self-reported high blood pressure and diabetes showed significant sensitivity issues, highlighting potential bias.
Across 55,392 participants, self-reported sensitivity was 51.4% for high blood pressure and 57.0% for diabetes.
Sensitivity increased with age and education, indicating demographics play a crucial role in data accuracy.
Bias observed from self-reporting may have important implications in epidemiologic studies in low- and middle-income countries.

Nichols et al. (2025) studied this question.

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September 10, 2025Frontiers in EpidemiologyOpen Access

View Full Paper

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Authors

Epidemiologic research reveals that self-reported data may underestimate cardiometabolic conditions, suggesting significant bias.

Self-reported high blood pressure and diabetes showed significant sensitivity issues, highlighting potential bias.
Across 55,392 participants, self-reported sensitivity was 51.4% for high blood pressure and 57.0% for diabetes.
Sensitivity increased with age and education, indicating demographics play a crucial role in data accuracy.
Bias observed from self-reporting may have important implications in epidemiologic studies in low- and middle-income countries.

Nichols et al. (2025) studied this question.

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