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Macro-level studies on intergenerational mobility among women in India suggests that, there is a need to further probe certain excluded communities that have a higher likelihood of persistence of educational status among women through micro-level studies. The present study investigates the extent and drivers of high/low intergenerational educational mobility among young women (vis-à-vis their mothers) belonging to the weavers' community of Varanasi, India. Using transition/mobility matrices and mobility measures, along with qualitative methods, the paper builds on a mixed-methods study conducted among 364 households of weavers' community from Varanasi. The qualitative data includes a total of 8 respondents with 5 KIIs and 3 IDIs. The study shows that the overall intergenerational educational mobility among women (vis-à-vis their mothers) from the weavers' community of Varanasi is 0.30 and there is no downward mobility. The qualitative findings further highlight various reasons enabling or preventing high educational mobility in the given context. In conclusion, the paper illustrates several micro-level issues and disparities in intergenerational educational mobility that are not clearly evident through the macro-level studies and further helps in making informed policy decisions. [ABSTRACT FROM AUTHOR]

Background: There could be several possible mechanisms on how chronic conditions relate to sleep problems in older persons; for instance, pain and sleep have a strong link and depressive symptoms are similarly associated with sleep problems. The present study explored whether pain and depressive symptoms are mediators in the relationship between multi-morbidity and sleep problems among older adults. Methods: Study utilized data from the Longitudinal Aging Study in India (LASI) with a sample of 31,464 older adults age 60 years and above. Multivariable logistic regression along with mediation analysis using Karlson–Holm–Breen (KHB) method was conducted. Results: A proportion of 14.8% of the participants suffered from sleep problems, whereas, 22.5% and 8.7% of older adults had multi-morbidity and had depressive symptoms, respectively. Also, around 10.3% of older adults reported pain and received no medication for the relief of pain, whereas 29.3% of older adults reported pain and received some type of medication for the relief of pain. Older adults with multi-morbidity had higher odds of suffering from sleep problems [adjusted odds ratio (aOR):1.26, confidence interval (CI):1.10–1.45] than those who had no multi-morbidity. Older adults who reported pain but received no medication for the relief of pain [aOR: 1.90, CI: 1.64–2.22] or reported pain and received medication for the relief of pain [aOR: 1.82, CI:1.62–2.04] and those who had depressive symptoms [aOR: 2.21, CI:1.89–2.57%] had higher odds of suffering from sleep problems compared to those who did not report pain and had no depressive symptoms, respectively. Around 11.2% of the association of multi-morbidity with sleep problems was mediated by pain and 4.3% of such association was mediated by depressive symptoms. Conclusion: Pain and depressive symptoms were found to mediate the association between multi-morbidity and sleep problems; therefore, reducing pain and depressive symptoms may be considered to improve sleep in older multi-morbid patients. [ABSTRACT FROM AUTHOR]

Introduction: The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and child health outcomes. However due to unavailability of data at the lowest administrative levels, literature on spatial pattern of uptake of full CoC is lacking. The present study attempts to focus on the spatial analysis of CoC in maternal health care in India. Data and methods: The study is based on the fourth round of National Family Health Survey data conducted in 2015–16 in India. The outcome variable used is maternal health continuum of care which includes- at least 4 ANC visits, delivery through skilled birth attendant and postnatal check-up within 48 hours of delivery. Univariate and bivariate Local Indicator of Spatial Association (LISA) maps have been generated to show the spatial pattern of CoC across 640 districts in India. We also employed spatial regression techniques to explore the determinants of CoC. Findings: Percentage of women who followed full CoC was observed to be least for East Kameng (0.0%) district of Arunachal Pradesh and highest in North Goa district (90.4%). Majority of districts where uptake of full CoC was more than 80 percent were found concentrated in southern region on India. Equivalently, findings indicated a strong spatial clustering of full CoC with high-high clusters mostly concentrated in southern districts. Low-low district clusters are concentrated in the states of Uttar Pradesh, Bihar and Madhya Pradesh. For complete CoC the global Moran's I is 0.73 indicating the spatial dependence. The spatial regression analysis suggested that modern contraceptive use, meeting with health worker, urbanization and secondary or above education for women have positive impact on the utilisation of CoC. Conclusion: The spatial pattern indicates district level clustering in uptake of CoC among women. The study suggests policymakers and stakeholders to implement comprehensive interventions at sub-regional levels for ensuring the completion of CoC for women which acts as a preventive measure for adverse outcomes such as-maternal and child mortality. [ABSTRACT FROM AUTHOR]