Gender differences in infant survival: a secondary data analysis in rural North India
Ranadip Chowdhury1, Sunita Taneja1, Sarmila Mazumder1
1Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.
Insights
Female infants in India face higher mortality risks, particularly after the neonatal period. Targeted interventions are crucial to reduce female infant deaths across all socio-demographic groups.
Area of Science:
- Public Health
- Demography
- Pediatrics
Background:
- Infant survival rates are a critical indicator of a nation's health.
- Understanding gender disparities in infant mortality is essential for targeted public health interventions.
Purpose of the Study:
- To investigate gender-based differences in infant survival.
- To analyze these differences during the first day, first week, neonatal, and post-neonatal periods.
- To examine the influence of socio-demographic and economic factors on these disparities.
Main Methods:
- Secondary data analysis from a cluster randomized trial in India.
- Utilized multiple logistic regression models accounting for cluster design.
- Included a total of 60,480 infants in the analysis.
Main Results:
- Overall infant mortality was higher in females (7.2%) compared to males (6.3%).
- Female infants had significantly higher mortality rates in the post-neonatal period, but not the neonatal period.
- The odds of death were 1.4 to 1.7 times higher for females in later infancy, irrespective of socio-economic status.
Conclusions:
- Post-neonatal gender disparities pose a significant threat to female infant survival in India.
- Public health programs must develop strategies to specifically address and reduce female infant mortality.
- These findings highlight the need for gender-sensitive health policies and interventions.
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.
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