Background: While the issue of sex imbalance in South Asia is well recognised, less is known about its social patterning. Social patterning in the proportion of sexes was investigated among infants in India before and after the implementation of the Pre-Natal Diagnostic Techniques (PNDT) Act in 1996. The act regulates the misuse of technologies for sex determination of fetuses and subsequent selective abortion.
Methods: Multivariable regression analysis was performed on time series data from a nationally representative sample of households with infants. The outcome was log odds of having a male infant. Household income, parental education, social caste, a variable representing periods before and after the implementation of the PNDT Act and state of residence were the main predictors of interest.
Results: The odds of having a male infant increased with income quartiles. Heads of household with post-secondary education had a higher odds ratio of having a male infant than those with no formal education. The odds of having a male infant did not differ between high and low caste groups, and was not associated with the educational attainment of the spouse. Punjab had a higher odds ratio of having a male infant compared with Kerala. Kerala, meanwhile, was not particularly different from the remaining Indian states. The odds of having a male infant were similar in the pre- and post-PNDT periods. In the post-PNDT period, the income gradient in the odds of having a male infant was substantially weakened.
Conclusion: Social analysis of the distribution of sexes among infants in India suggests that neither improvements in socioeconomic circumstances nor introducing policies that are not aligned with societal norms and preferences are likely to normalise the sex imbalance in India.
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Funding: S V Subramanian is supported by the National Institutes of Health Career Development Award (NHLBI K25 HL081275).
Competing interests: None.
Ethics approval: The analysis was done entirely using public use secondary datasets with no access to identifiers.