Quantifying age heaping and age misreporting in a multicentric survey
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2022-01-01
|
| Series: | Indian Journal of Community Medicine |
| Subjects: | |
| Online Access: | http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2022;volume=47;issue=1;spage=104;epage=106;aulast=Basannar |
| _version_ | 1828105648383983616 |
|---|---|
| author | D R Basannar Sumeet Singh Jyoti Yadav Arun Kumar Yadav |
| author_facet | D R Basannar Sumeet Singh Jyoti Yadav Arun Kumar Yadav |
| author_sort | D R Basannar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T10:06:16Z |
| format | Article |
| id | doaj.art-66b34b2bfa134560a6ae3abc52d22bfd |
| institution | Directory Open Access Journal |
| issn | 0970-0218 1998-3581 |
| language | English |
| last_indexed | 2024-04-11T10:06:16Z |
| publishDate | 2022-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Community Medicine |
| spelling | doaj.art-66b34b2bfa134560a6ae3abc52d22bfd2022-12-22T04:30:14ZengWolters Kluwer Medknow PublicationsIndian Journal of Community Medicine0970-02181998-35812022-01-0147110410610.4103/ijcm.ijcm_1179_21Quantifying age heaping and age misreporting in a multicentric surveyD R BasannarSumeet SinghJyoti YadavArun Kumar YadavIntroduction: 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.http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2022;volume=47;issue=1;spage=104;epage=106;aulast=Basannarage-heaping biasmyer's blended indexwhipple's index |
| spellingShingle | D R Basannar Sumeet Singh Jyoti Yadav Arun Kumar Yadav Quantifying age heaping and age misreporting in a multicentric survey Indian Journal of Community Medicine age-heaping bias myer's blended index whipple's index |
| title | Quantifying age heaping and age misreporting in a multicentric survey |
| title_full | Quantifying age heaping and age misreporting in a multicentric survey |
| title_fullStr | Quantifying age heaping and age misreporting in a multicentric survey |
| title_full_unstemmed | Quantifying age heaping and age misreporting in a multicentric survey |
| title_short | Quantifying age heaping and age misreporting in a multicentric survey |
| title_sort | quantifying age heaping and age misreporting in a multicentric survey |
| topic | age-heaping bias myer's blended index whipple's index |
| url | http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2022;volume=47;issue=1;spage=104;epage=106;aulast=Basannar |
| work_keys_str_mv | AT drbasannar quantifyingageheapingandagemisreportinginamulticentricsurvey AT sumeetsingh quantifyingageheapingandagemisreportinginamulticentricsurvey AT jyotiyadav quantifyingageheapingandagemisreportinginamulticentricsurvey AT arunkumaryadav quantifyingageheapingandagemisreportinginamulticentricsurvey |