JKJhumki Kundu

Jhumki Kundu

*This is an algorithmically generated author record based on publicly available information.

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Jhumki Kundu has a total of 14 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Education and non-communicable diseases in India: an exploration of gendered heterogeneous relationships

    by Jhumki Kundu, Srinivas Goli, K S James

    Background: While the association between education and non-communicable diseases (NCDs) is well established, it remains unclear whether this association varies by gender. The aim of this study was to examine two critical research questions: whether the association of education and NCDs is conditioned by gender and, if so, what are the factors contributing to this? Methods: Data from the Longitudinal Aging Study in India Wave 1 (2017–2018) was used for the empirical analysis. The study employs bivariate, binary logistic regression and Oaxaca decomposition analyses. Results: The results reveal that the net likelihood of having at least one chronic NCD increases with an increase in education level for men (<5 y of schooling: odds ratio [OR] 1.18 [95% confidence interval {CI} 1.09 to 1.28]; ≥10 y of schooling: OR 1.43 [95% CI 1.33 to 1.53]). However, for women, the result showed a contrasting pattern. The decomposition analysis revealed that the distinctive roles of marital status and working status in the diagnosis of morbidity for men and women are the key factors behind the gendered heterogeneous relationship of education and NCDs in India. Conclusions: The study found that it is important to acknowledge the potential impact of self-reporting bias in morbidity data while examining the relationship between education and NCDs.


  • Open Access

    Prevalence, socio-demographic determinants, and self-reported reasons for hysterectomy and choice of hospitalization in India

    by Priyanka Kumari, Jhumki Kundu

    Background: There is limited evidence of hysterectomy in India because of a lack of data in large-scale, nationally representative health surveys. In 2015–16, the fourth National Family Health Survey (NFHS-4)—a cross-sectional survey—collected for the first-time direct information on hysterectomy and self-reported reasons for undergoing the procedure among women in the reproductive age group. The current study evaluates the prevalence, determinants, and choice of hospitalization (Public vs. Private) for conducting hysterectomy in India among women aged 15–49 years in 29 states and seven union territories (UTs) based on the new large-scale population-based nationally representative dataset (NFHS 5).Methods: Cross-tabulations and percentage distributions were utilized to analyse the prevalence of hysterectomy and the choice of hospitalization (public vs. private) across different socioeconomic backgrounds and reasons for undergoing hysterectomy. A multivariate binary logistic regression model was also used to find statistically significant determinants of hysterectomy.Results: In India as a whole, 3.3% of women aged 15–49 years had undergone a hysterectomy. The percentage of women who had undergone the procedure was found to vary considerably across the states and the UTs. The southern region stands out for the considerably higher prevalence of hysterectomy; particularly in the states of Andhra Pradesh (8.7%) and Telangana (8.2%), the prevalence was very high followed by Bihar (6%) and Gujrat (4%). On the other hand, the North-eastern region had the lowest prevalence of hysterectomy (1.2%). A noticeable fact that emerged was that the majority of the hysterectomies were performed in the private sector (69.6%) in India. But the scenario was quite different in north-eastern region as in this region more hysterectomies were performed in public health facilities (73%) rather than private health facilities (26.7%). Age, place of residence, religion, caste, level of education, geographic region, wealth quintiles, parity, age at first cohabitation of women were found to be the socio-demographic determinants statistically associated with hysterectomy in India. The likelihood of hysterectomy was higher among women living in rural areas (AOR: 1.3, CI: 1.23–1.35), in the richest wealth quintile (AOR 2.6; CI 2.37–2.76) and in the southern region (AOR 1.6; CI 1.47–1.66). The reasons frequently reported for hysterectomy were excessive menstrual bleeding/pain, followed by fibroids/cysts.Conclusion: This study has attempted to analyse hysterectomy prevalence and its socio-economic determinants using the latest fifth round of NFHS data of all the states and covering 21 states and union territories of India, which gives wider coverage of hysterectomy and more recent with accurate data. More research is needed therefore to unravel the complex dynamics of hysterectomy in India (and elsewhere) which could be used to help women make more informed choices and in turn advance their reproductive health and rights.


  • Open Access

    Prevalence, socio-demographic determinants, and self-reported reasons for hysterectomy and choice of hospitalization in India

    by Priyanka Kumari, Jhumki Kundu

    Background There is limited evidence of hysterectomy in India because of a lack of data in large-scale, nationally representative health surveys. The fifth National Family Health Survey collected direct data on hysterectomy and self-reported reasons for the treatment among women of reproductive age in 2019–21 using the NFHS-5 dataset. This study evaluates the prevalence, determinants, and choice of hospitalization (Public vs. Private) for conducting hysterectomy in India among women aged 15–49 years in 29 states and seven union territories (UTs). Methods Cross-tabulations and percentage distributions were utilized to analyse the prevalence of hysterectomy and the choice of hospitalization (public vs. private) across different socioeconomic backgrounds and reasons for undergoing hysterectomy. A multivariate binary logistic regression model was also used to find statistically significant determinants of hysterectomy. Results In India as a whole, 3% of women aged 15–49 years had undergone a hysterectomy. The percentage of women who had undergone the procedure was found to vary considerably across the states and the UTs. A noticeable fact that emerged was that the majority of the hysterectomies were performed in the private sector in India. Age, place of residence, religion, caste, level of education, geographic region, wealth quintiles, parity, age at first cohabitation of women were found to be the socio-demographic determinants statistically associated with hysterectomy in India. The reasons frequently reported for hysterectomy were excessive menstrual bleeding/pain, followed by fibroids/cysts. Conclusion The percentage and likelihood of undergoing hysterectomy were relatively high among women, those who reside in rural areas, those without schooling, those who belonged to the richest wealth quintile, those with an early age at first cohabitation and those who reside in the eastern and southern parts of India. These findings have policy implications in that reproductive health programme managers should assure regular screening and treatment of issues that lead to hysterectomy.