Despite the existence of several policies and programs, anemia among pregnant and lactating women continues to be a serious concern for public health policy in India. The main objective of this study is to examine the prevalence and determinants of anemia among pregnant and lactating versus nonpregnant nonlactating (NP-NL) women for priority setting in health policies of the country. Data from the National Family Health Survey (NFHS3) conducted in 2005-2006 has been used for the analyses of this study. The results revealed that the prevalence of anemia was higher among lactating women (63%), followed by pregnant women (59%) than NP-NL women (53%). Younger lactating (71%) and older pregnant women (67%) had a higher burden of anemia. Along with socioeconomic factors, demographic indicators such as children ever born and program factors like nutrition advice and supplementary nutrition during anti natal care and postnatal care emerged as significant predictors in the case of anemia among both pregnant and lactating women, while socioeconomic indicators emerged as critical factors in the case of anemia among NP-NL women. Hence, targeting demographic and program factors, along with key socioeconomic and demographic factors in public health policy, is critical in reducing anemia among lactating and pregnant women, while targeting significant socioeconomic factors is the key for reducing anemia among NP-NL women.
ObjectivesThe major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents.DesignThe study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences.SettingsUrban and rural areas of UP, India.ParticipantsSample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women.OutcomeWe aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics.ResultAbout 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1).ConclusionIn comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.
The key challenges of global health policy are not limited to improving average health status, with a need for greater focus on reducing regional inequalities in health outcomes. This study aimed to assess health inequalities across the major Indian states used data from the Sample Registration System (SRS, 1981–2015), National Family Health Survey (NFHS, 1992–2015) and other Indian government official statistics. Catching-up plots, absolute and conditional β-convergence models, sigma (σ) plots and Kernel Density plots were used to test the Convergence Hypothesis, Dispersion Measure of Mortality (DMM) and the Gini index to measure progress in absolute and relative health inequalities across the major Indian states. The findings from the absolute β-convergence measure showed convergence in life expectancy at birth among the states. The results from the β- and σ-convergences showed convergence replacing divergence post-2000 for child and maternal mortality indicators. Furthermore, the estimates suggested a continued divergence for child underweight, but slow improvements in child full immunization. The trends in inter-state inequality suggest a decline in absolute inequality, but a significant increase or stationary trend in relative health inequality during 1981–2015. The application of different convergence metrics worked as robustness checks in the assessment of the convergence process in the selected health indicators for India over the study period.
This study estimates poverty, wealth inequality and financial inclusion, for the first time, at the sub‐caste level in both Hindus and Muslims using a unique survey data collected from 7124 households in Uttar Pradesh, India, during 2014–2015. The results confirm the existing hypothesis that Brahmins, Thakurs and other Hindu general castes have higher wealth accumulation, lower poverty and lesser exclusion from formal financial services than Dalits. Exclusion from formal financial services forces Dalits to depend primarily on informal financial sources for borrowing—which leads to financial misfortune and further dragging them into a vicious cycle of poverty.
This study estimates poverty, wealth inequality, and financial inclusion, for the first time, at the sub-caste level in both Hindus and Muslims using a unique survey data collected from 7124 households in Uttar Pradesh, India, during 2014-2015. The results confirm the existing hypothesis that Brahmins, Thakurs, and other Hindu general castes have higher wealth accumulation, lower poverty, and lesser exclusion from formal financial services than Dalits. Exclusion from formal financial services forces Dalits to depend primarily on informal financial sources for borrowing—which leads to financial misfortune and further dragging them into a vicious cycle of poverty.
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