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Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018
OBJECTIVES: We aim to examine the phenomenon of infant and child death clustering while considering the unobserved heterogeneity (frailty) at the family level. DESIGN, SETTING, AND PARTICIPANTS: We analysed Bangladesh Demographic and Health Survey 2017–2018 data, including the birth history informat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189828/ https://www.ncbi.nlm.nih.gov/pubmed/35688594 http://dx.doi.org/10.1136/bmjopen-2021-053782 |
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author | Paul, Ronak Srivastava, Shobhit Rashmi, Rashmi |
author_facet | Paul, Ronak Srivastava, Shobhit Rashmi, Rashmi |
author_sort | Paul, Ronak |
collection | PubMed |
description | OBJECTIVES: We aim to examine the phenomenon of infant and child death clustering while considering the unobserved heterogeneity (frailty) at the family level. DESIGN, SETTING, AND PARTICIPANTS: We analysed Bangladesh Demographic and Health Survey 2017–2018 data, including the birth history information for 47 828 children born to 18 134 women. We used Gompertz shared frailty model to control the correlation between event times at the mother level and capture the unobserved risks in infant and child deaths. OUTCOME MEASURES: We estimated two sets of survival regression models where the failure event is the survival status of the index child during the infancy period, that is, from birth to 11 months, and childhood period, that is, between 12 and 59 months, respectively. All children who died during infancy and childhood were coded as ‘yes’; otherwise, they were coded as ‘no’. RESULTS: About 2% of mothers experienced two or more infant deaths, and cumulatively these mothers account for 20% of all infant deaths in the sample. Children whose previous sibling was not alive at the time of their conception had 1.86 times (95% CI 1.59 to 2.17) more risk of dying as an infant. However, we did not find a statistically significant effect of death scarring on the risk of child mortality among siblings. Statistically significant frailty effect with a variance of 0.33 (95% CI CI 0.17 to 0.65) and 0.54 (95% CI 0.14 to 2.03)] in infancy and childhood, respectively, indicates the clustering of survival risks within families due to unobserved family-level characteristics shared by the siblings. CONCLUSION: This study suggests that preceding birth interval, mother’s age at first birth and mother’s education are the most critical factors which can help in reducing scaring effect on infant mortality. Additionally, women from poor socioeconomic strata should be focused on as still an infant, and child mortality is concentrated among poor households. |
format | Online Article Text |
id | pubmed-9189828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91898282022-06-16 Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 Paul, Ronak Srivastava, Shobhit Rashmi, Rashmi BMJ Open Public Health OBJECTIVES: We aim to examine the phenomenon of infant and child death clustering while considering the unobserved heterogeneity (frailty) at the family level. DESIGN, SETTING, AND PARTICIPANTS: We analysed Bangladesh Demographic and Health Survey 2017–2018 data, including the birth history information for 47 828 children born to 18 134 women. We used Gompertz shared frailty model to control the correlation between event times at the mother level and capture the unobserved risks in infant and child deaths. OUTCOME MEASURES: We estimated two sets of survival regression models where the failure event is the survival status of the index child during the infancy period, that is, from birth to 11 months, and childhood period, that is, between 12 and 59 months, respectively. All children who died during infancy and childhood were coded as ‘yes’; otherwise, they were coded as ‘no’. RESULTS: About 2% of mothers experienced two or more infant deaths, and cumulatively these mothers account for 20% of all infant deaths in the sample. Children whose previous sibling was not alive at the time of their conception had 1.86 times (95% CI 1.59 to 2.17) more risk of dying as an infant. However, we did not find a statistically significant effect of death scarring on the risk of child mortality among siblings. Statistically significant frailty effect with a variance of 0.33 (95% CI CI 0.17 to 0.65) and 0.54 (95% CI 0.14 to 2.03)] in infancy and childhood, respectively, indicates the clustering of survival risks within families due to unobserved family-level characteristics shared by the siblings. CONCLUSION: This study suggests that preceding birth interval, mother’s age at first birth and mother’s education are the most critical factors which can help in reducing scaring effect on infant mortality. Additionally, women from poor socioeconomic strata should be focused on as still an infant, and child mortality is concentrated among poor households. BMJ Publishing Group 2022-06-10 /pmc/articles/PMC9189828/ /pubmed/35688594 http://dx.doi.org/10.1136/bmjopen-2021-053782 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Public Health Paul, Ronak Srivastava, Shobhit Rashmi, Rashmi Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title | Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title_full | Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title_fullStr | Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title_full_unstemmed | Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title_short | Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 |
title_sort | examining infant and child death clustering among families in the cross-sectional and nationally representative bangladesh demographic and health survey 2017–2018 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189828/ https://www.ncbi.nlm.nih.gov/pubmed/35688594 http://dx.doi.org/10.1136/bmjopen-2021-053782 |
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