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Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Related Experiment Video

Updated: Sep 28, 2025

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
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Quantifying Age Heaping and Age Misreporting in a Multicentric Survey.

D R Basannar1, Sumeet Singh1, Jyoti Yadav2

  • 1Department of Community Medicine, AFMC, Pune, Maharashtra, India.

Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine
|April 4, 2022
PubMed
Summary

This study assessed age misreporting using demographic indices in a survey of 3252 individuals. Results suggest age-heaping bias is likely not a significant issue in this population sample.

Keywords:
Age-heaping biasMyer's Blended IndexWhipple's Index

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Area of Science:

  • Demography
  • Public Health
  • Statistical Analysis

Background:

  • Accurate age reporting is crucial for demographic analysis and public health.
  • Age misreporting, particularly age-heaping, can introduce bias in population studies.

Purpose of the Study:

  • To investigate patterns of age misreporting using age-heaping indices.
  • To evaluate the extent of age misreporting in a multicentric survey data.

Main Methods:

  • Utilized demographic indices: Whipple's Index (WI), Myer's Blended Index, and United Nations Age-Sex Accuracy Score.
  • Analyzed data from 3252 individuals, assessing age reporting patterns for males and females.

Main Results:

  • The percentage of ages ending in 0 or 5 was similar for males (23.28%) and females (23.55%).
  • Calculated Whipple's Index values were high for both males (117.75) and females (116.34).
  • Myer's Index indicated potential age misreporting, with values of 25 for males and 10.53 for females.

Conclusions:

  • Despite calculated indices, the study suggests age-heaping bias may be less problematic than initially indicated.
  • Further research may be needed to fully understand age misreporting nuances in this population.