多中心调查中年龄堆积和年龄误报的量化

Quantifying Age Heaping and Age Misreporting in a Multicentric Survey.

作者信息

Basannar D R, Singh Sumeet, Yadav Jyoti, Yadav Arun Kumar

机构信息

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

Independent Researcher, Pune, Maharashtra, India.

出版信息

Indian J Community Med. 2022 Jan-Mar;47(1):104-106. doi: 10.4103/ijcm.ijcm_1179_21. Epub 2022 Mar 16.

DOI:10.4103/ijcm.ijcm_1179_21

PMID:35368490

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8971874/

Abstract

INTRODUCTION

Demographic indices known as the age-heaping indexes were used to explore the patterns of age misreporting in a multicentric survey.

METHODS

The data of 3252 individuals were analyzed, and measurement of errors in age for the sampled data has been evaluated by Whipple's Index (WI), Myer's Blended Index, and United Nations Age-Sex Accuracy Score which comprises Sex Ratio Score, Male Age Ratio Score (ARS), and Female ARS.

RESULTS

Out of total 3252 participants, 828 (25.5%) were female. The mean statistical division age of our population was 34 (8.5) years and ranged from 15 to 65 years. The percentage of female ages ending with digits 0 or 5 is 23.55% and percentage of male ages ending with digits 0 or 5 is 23.28%. The calculated WI was 117.75 and 116.34 for males and females, respectively. The calculated Myer's Index for females and males is 10.53 and 25, respectively.

CONCLUSION

The study provides evidence that probably age-heaping bias is less of problem in the conducted study.

摘要

引言

在一项多中心调查中，使用了被称为年龄堆积指数的人口统计学指标来探究年龄误报模式。

方法

分析了3252名个体的数据，并通过惠普尔指数（WI）、迈耶混合指数以及联合国年龄性别准确性评分（包括性别比评分、男性年龄比评分（ARS）和女性ARS）对抽样数据的年龄误差进行了评估。

结果

在总共3252名参与者中，828名（25.5%）为女性。我们研究人群的平均统计分区年龄为34（8.5）岁，年龄范围为15至65岁。以0或5结尾的女性年龄百分比为23.55%，以0或5结尾的男性年龄百分比为23.28%。男性和女性计算得出的WI分别为117.75和116.34。女性和男性计算得出的迈耶指数分别为10.53和25。