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Gender differences in infant survival: a secondary data analysis in rural North India.


ABSTRACT:

Objective

To examine gender differences in infant survival on the first day of life, in the first week of life, and in the neonatal and post-neonatal periods by socio-demographic and economic variables.

Design

Secondary data analysis was performed on data from a cluster randomised trial on the effect of implementation of the Integrated Management of Neonatal and Childhood Illness programme, India.

Settings

The study setting was Palwal and Faridabad, districts of Haryana, a state in North India.

Measures

Multiple logistic regression models taking the cluster design into account were used to estimate gender differences in mortality in different periods of infancy.

Results

A total of 60 480 infants were included in these analyses. Of 4060 infant deaths, 2054 were female (7.2% of all females born) and 2006 were male (6.3% of all males born). The death rate was significantly higher in females in the post-neonatal period but not during the neonatal period. The odds of death at 29-180 days and at 181-365 days were 1.4 (95% CI 1.3 to 1.6) and 1.7 (95% CI: 1.4 to 2.0) higher in females compared with males, respectively. This increase was seen across all socio-demographic and economic strata.

Conclusion

Gender differences during the post-neonatal period are a major threat to the survival and health of female infants in India. Programmes need to identify measures that can specifically reduce female mortality.

Trial registration

Clinical trials NCT00474981.

SUBMITTER: Chowdhury R 

PROVIDER: S-EPMC5724117 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Publications

Gender differences in infant survival: a secondary data analysis in rural North India.

Chowdhury Ranadip R   Taneja Sunita S   Mazumder Sarmila S   Bhandari Nita N   Strand Tor A TA  

BMJ open 20170811 8


<h4>Objective</h4>To examine gender differences in infant survival on the first day of life, in the first week of life, and in the neonatal and post-neonatal periods by socio-demographic and economic variables.<h4>Design</h4>Secondary data analysis was performed on data from a cluster randomised trial on the effect of implementation of the Integrated Management of Neonatal and Childhood Illness programme, India.<h4>Settings</h4>The study setting was Palwal and Faridabad, districts of Haryana, a  ...[more]

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