Browsing by Author "Nuruzzaman Kasemi"

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Decomposing the gap in intimate partner violence between Scheduled Caste and General category women in India: An analysis of NFHS-5 data
(Elsevier Ltd, 2022) Sourav Chowdhury; Aditya Singh; Nuruzzaman Kasemi; Mahashweta Chakrabarty
Scheduled Caste (SC) women, one of India's most oppressed and neglected population groups, are the most vulnerable to intimate partner violence (IPV). IPV, on the other hand, is less common among women in the General category. No study has been conducted to measure the gap in IPV between these two groups. This study is an attempt to fill this gap. This study aims to comprehensively explore the factors that underlie and explain the gap in IPV between SC and General women. Information on 10,168 ever-married SC and 9695 ever-married General women aged 15–49 from the fifth round of the National Family Health Survey was analyzed. The Fairlie decomposition (Blinder–Oaxaca decomposition modified for binary outcomes) was used in this study to explain the gap in ever experience of IPV prevalence between SC and General women. About 37.3% and 24.4% of ever-married SC and General women in India suffered either physical or mental or sexual violence from their husbands. The large part of the gap in IPV between SC and General women was due to differences in husbands' alcohol consumption (26.33% gap), wealth index (24.48% gap), controlling behavior by husband (24%) and parental IPV (15.87% gap). With the introduction of appropriate interventions and programs, these gaps can be reduced. Interventions aimed at reducing alcoholism should be emphasized. © 2022 The Author(s)
Decomposing the gap in undernutrition among under-five children between EAG and non-EAG states of India
(Elsevier Ltd, 2023) Sourav Chowdhury; Nuruzzaman Kasemi; Aditya Singh; Mahashweta Chakrabarty; Shivani Singh
In India, the Empowered Action Group (EAG) states (Bihar, Madhya Pradesh, Rajasthan, Uttar Pradesh, Uttarakhand, Odisha, Jharkhand, and Chhattisgarh, including Assam) have a higher prevalence of undernutrition among children under the age of five (U5) than non-EAG states. However, no research has attempted to explain the difference in U5 child undernutrition between EAG and non-EAG states. To fill this gap, this study used data from the fourth round of the National Family Health Survey (NFHS-4) and applied modified Blinder–Oaxaca decomposition (also known as Fairlie decomposition). This decomposition helps quantify the relative contribution of various factors explaining the gap between EAG and non-EAG states in U5 child undernutrition. In EAG states, nearly four out of ten U5 children suffered from being underweight and stunted, and one out of five suffered from wasting. The prevalence of undernutrition was relatively higher in the EAG states than in the non-EAG states. The decomposition results revealed that almost two-thirds of the gap in U5 undernutrition between EAG and Non-EAG states was explained by the variables used in the analysis. Household wealth explained about half the difference in stunting and wasting, while religion accounted for a quarter of the difference in underweight and wasting. Maternal education explained a fourth of the difference in stunting between EAG and Non-EAG states. The disparity in undernutrition between EAG and non-EAG states could be reduced by introducing suitable long- and short-term interventions and programs. Increasing access to the public distribution system (PDS), raising awareness among low-income mothers regarding optimal inter-birth intervals, proper health and hygiene, appropriate family planning, and the importance of maternal and child health care services by frontline workers (ASHAs, Anganwadi workers, etc.) could be some of the ways to bridge the gap in undernutrition between EAG and non-EAG states in the near future. © 2022 Elsevier Ltd
Economic Inequality in Intimate Partner Violence among Forward and Backward Class Women in India: A Decomposition Analysis
(Routledge, 2024) Sourav Chowdhury; Aditya Singh; Nuruzzaman Kasemi; Mahashweta Chakrabarty
Intimate partner violence (IPV) is a highly sensitive issue in India, where society is patriarchal and primarily segmented into castes/tribes. This study aims to measure and explain the economic inequality in IPV against women in two social groups: backward classes (Scheduled Castes, Scheduled Tribes, and Others Backward Classes) and forward classes (Others), using cross-sectional data from the National Family Health Survey-4 conducted in 2015–16. Economic inequality has been measured using the rate ratio, the concentration index (CI), and the concentration curve. In addition, concentration index has been decomposed to explain the economic inequality in IPV. Economic inequality was relatively higher among the women from the forward classes (CI: −0.30) than those from the backward classes (CI: −0.20). Woman’s education (25%), alcohol consumption by husbands (19.6%), and region of residence (18.7%) were the major contributors to economic inequality in IPV among backward class women. However, for forward class women, woman’s education (23.2%), region of residence (15.6%), parental IPV (14.6%), husband’s education (9.7%), and exposure to mass media were significant contributors to economic inequality in IPV (7%). In conclusion, there is a need for appropriate interventions and programs focused on reducing economic inequality in IPV against women from both backward and forward classes. © 2022 Taylor & Francis Group, LLC.
Intimate Partner Violence among Scheduled Caste Women in India: A Cross-sectional Study
(Routledge, 2024) Sourav Chowdhury; Aditya Singh; Nuruzzaman Kasemi; Mahashweta Chakrabarty; Tribarna Roy Pakhadhara
Scheduled Caste (SC) women, one of the most oppressed and neglected groups in India, have the highest prevalence of intimate partner violence (IPV), yet no study has analyzed correlates of IPV within this group, or analyzed them using nationally representative data. This study is an attempt to fill this gap. Information on 11,076 married SC women from the National Family Health Survey-4 was analyzed. Cross-sectional study design was followed. Binary logistic regression was applied to examine the factors associated with IPV. About 40% of married SC women in India suffered physical, mental, or sexual violence from their husbands. Alcohol consumption by husband (OR = 2.99, 95% CI = 2.62–3.41), employment status (OR = 1.26, 95% CI = 1.07–1.48), parity especially having 4 or more children (OR = 2.36, 95% CI = 1.82–3.06; OR = 2.10, 95% CI = 1.61–2.73) were associated with higher odds of IPV. Women from southern, eastern, and central regions of India were more likely to experience IPV. We conclude that there is a need to recognize the diverse experiences of vulnerable subgroups within SC women and undertake suitably designed targeted interventions to lower the high levels of IPV prevalent among these women. © 2022 Taylor & Francis Group, LLC.
Short birth interval and associated factors in rural India: A cross-sectional study
(Cambridge University Press, 2023) Sourav Chowdhury; Aditya Singh; Nuruzzaman Kasemi; Mahashweta Chakrabarty; Shivani Singh
Short Birth Interval (SBI) is one of the main causes of adverse maternal and child health outcomes. A 33-month birth-to-birth interval between two successive live births should be followed to minimize the risk of adverse maternal and child health. This study aimed to examine the prevalence of SBI and the associated factors in rural India. Information on 98,522 rural mothers from the fourth round of National Family Health Survey data was analyzed. Bivariate statistics, logistic regression, Moran’s I, and Cluster and Outlier Analysis have been used to assess the prevalence and spatial pattern of SBI in rural India. Results revealed that about half of the mothers in rural India had experienced SBI. Rural Indian mothers whose child was not alive (OR = 1.76, 95% CI = 1.63–1.90), were not using any contraceptive methods (OR = 1.42, 95 % CI = 1.37–1.48) and not breastfeeding (OR = 2.73, 95% CI = 2.50–2.97) were more likely to experience SBI. On the other hand, rural mothers from the middle, richer and richest wealth quintiles (OR = 0.91, 95% CI = 0.86–0.97; OR = 0.84, 95% CI = 0.80–0.92; OR = 0.60, 95% CI = 0.55–0.66) and of age over 30 years (OR = 0.38., 95% CI = 0.36–0.39) were less likely to experience SBI. Analysis of spatial patterns revealed clear east-west differences in the prevalence of SBI. There was strong clustering of high values of SBI in most districts across the central, northern, western, and southern regions. The study suggests the need to introduce appropriate interventions and programs focused on reducing the prevalence of SBI in rural India. © The Author(s), 2022.