Background: With the turn of the century, CVDs have become the leading cause of mortality in India. Despite the wide heterogeneous prevalence of risk factors across different regions, CVD is the major cause of death in all parts of India. Therefore, the study aimed to investigate the prevalence of CVDs and its associated risk factors among older adults in India. Methods: The current study used data from the LASI, Wave 1, the world's largest and India's first longitudinal aging study. The total sample for the analysis was 65562 (45 and above individuals). The self-reported prevalence of CVDs was calculated by considering any one of the self-reported diagnosed conditions of hypertension, stroke, and chronic heart diseases. Binary Logistic regression was carried out between CVD and its associated risk factors like age, sex, place of residence, physical activity, family history of CVD, Diabetes/blood sugar, high cholesterol. P < 0.05 from two-sided statistical tests was regarded statistically significant. Results: The study indicated that the overall self-reported prevalence of diagnosed CVDs was 29.4% for older adults age 45 and above in India. Age was associated with increased risk of CVD Female older adults were more likely to have CVDs than male.The place of residence also had a stronger association with CVDs.In addition, high cholesterol, diabetes and physical inactivity were key risk factors for CVDs.The study also indicated that Family history was associated with a greater perceived risk for CVDs. The greater prevalence of CVDs risk factors among older adults manifested alarming public health concerns and a future health demand. It creates a threat if health promotion and awareness programs are not well designed.

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Background The present study tries to provide a comprehensive estimate of gender differences in the years of life lost due to CVD across the major states of India during 2017–18. Methods The information on the CVD related data were collected from medical certification of causes of death (MCCD reports, 2018). Apart from this, information from census of India (2001, 2011), SRS (2018) were also used to estimate YLL. To understand the variation in YLL due to CVD at the state level, nine sets of covariates were chosen: share of elderly population, percentage of urban population, literacy rate, health expenditure, social sector expenditure, labour force participation, HDI Score and co-existence of other NCDs such as diabetes, & obesity. The absolute number of YLL and YLL rates were calculated. Further, Pearson’s correlation had been calculated and to understand the effect of explanatory variables on YLL due to CVD, multiple linear regression analysis had been applied. Results Men have a higher burden of premature mortality in terms of Years of life lost (YLL) due to CVD than women in India, with pronounced differences at adult ages of 50–54 years and over. The age pattern of YLL rate suggests that the age group 85 + makes the highest contribution to the overall YLL rate due to CVD. YLL rate showed a J-shaped relationship with age, starting high at ages below 1 years, dropping to their lowest among children aged 1–4 years, and rising again to highest levels at 85 + years among both men and women. In all the states except Bihar men had higher estimated YLL due to CVD for all ages than women. Among men the YLL due to CVD was higher in Tamil Nadu followed by Madhya Pradesh and Chhattisgarh. On the other hand, the YLL due to CVD among men was lowest in Jharkhand followed by Assam. Similarly, among women the YLL due to CVD was highest in Tamil Nadu followed by Madhya Pradesh and Chhattisgarh. While, the YLL due to CVD among women was lowest in Jharkhand. Irrespective of gender, all factors except state health expenditure were positively linked with YLL due to CVD, i.e., as state health expenditure increases, the years of life lost (YLL) due to CVDs falls. Among all the covariates, the proportion of a state's elderly population emerges as the most significant predictor variable for YLL for CVDs (r = 0.42 for men and r = 0.50 for women). Conclusion YLL due to cardiovascular disease varies among men and women across the states of India. The state-specific findings of gender differences in years of life lost due to CVD may be used to improve policies and programmes in India.

Background:The elderly population in India is expanding fast, which indicates a growing share of people with more specialized needs for health and support. One of the prominent issues is the choice of health care services among the elderly, leading to its impact on health expenditure. Under Andersen's Health Behavioral Model, this study attempts to examine the nature of interregional disparity in the choice of health care services, along with investigating the choice-making in hospitalization services between private and public sources among the elderly. Besides, this study also comprises the regional dynamics of geriatric health care utilization. Methods: The current study uses data from the NSS, 75th round. The difference between choice in healthcare utilization and inpatient out-of-pocket (OOP) expenditure showed using the t-test and Z-test. The study also uses binary logistic regression analysis to explore the association of predisposing, enabling, and need factors with health services utilization. Results: The results suggest that the utilization of public facilities for inpatient services was very low, except in eastern and north-eastern states. Caste, education, monthly per capita expenditure (MPCE), and need for surgery were the main factors explaining the choice of either public or private facilities. Conclusion:The findings of the study stresses the need to provide suitable health facilities for India's senior population in the hospital, which may help policymakers better understand their health care needs.

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.