Exploring the triggers of premature and early menopause in India: a comprehensive analysis based on National Family Health Survey, 2019-2021.

Due to ovarian insufficiency, some women attain menopause at an early age due to lifestyle factors and hormonal imbalances. Menopause occurring before the age of 40 is premature and between 40 and 44 years age is early, since the natural age of menopause lies between 45 and 50. The study estimated the prevalence of both premature and early menopause, and examined the potential associated factors that could trigger its occurrence in India. The National Family Health Survey, conducted during 2019-2021, was used to fulfil the study objective. The study sample was divided into two parts, with age group 15-39 and 40-44 for estimating premature and early menopause, respectively. Cox-proportional hazard model was used for the multivariate analysis. The estimated prevalence of premature menopause is 2.2% and early menopause is 16.2%. Lower educational level, poor economic condition, smoking, fried food consumption, early age at menarche are some of the significant explanatory factors. In India, both the proportion and the absolute number of post-menopausal women are growing, therefore it is critical to revamp public reproductive healthcare facilities to include menopausal health segment in women's health as well. Future detailed micro-studies would help in better understanding of the premature or early menopausal cases.

Linkage of premature and early menopause with psychosocial well-being: a moderated multiple mediation approach.

PURPOSE: Menopause occurring before the age of 40 is premature and between 40 and 44 years age is early, since the natural age of menopause lies between 45 and 50. The endocrine changes that come with menopause include an erratic decline in estrogen levels which affects the brain. Thus, leading to changes in cognitive function in the longer term due to the menopausal transition. The study aims to explore the effect of premature and early menopause on cognitive health, and psychosocial well-being. The moderated multiple mediation hypothesis of the study is that the effect of premature or early menopause is mediated by depression and insomnia, while all the pathways are moderated by smoking habits. DATA AND METHODS: The study utilized Longitudinal Aging Study in India (LASI), 2017-2018, Wave 1 data. The sample of 31,435 women were aged 45 and above and did not undergo hysterectomy. A moderated multiple mediation model was used to understand the association between premature or early menopause (X), insomnia (M1), depression (M2), moderator (W), and cognitive health (Y), while controlling for possible confounders. RESULTS: Premature menopause was negatively associated with cognition (ß:-0.33; SE:0.12; p < 0.05), whereas positively associated with insomnia (ß:0.18; SE:0.03; p < 0.001) and depression (ß:0.25; SE:0.04; p < 0.001). There is a moderating effect of smoking or tobacco consumption has a significant moderating effect on the pathways among premature menopause, depression, insomnia and cognition. When the same model was carried out for early menopause (40-44 years), the results were not significant. CONCLUSIONS: The findings emphasize the fact that smoking is associated with premature menopause, depression and insomnia. Women who experienced premature menopause has lower cognitive scores, depressive symptoms and insomnia symptoms, which were higher among those who consumed tobacco. The study, strongly recommends the dissemination of information on the negative effects of tobacco consumption and making more informed choices to maintain a healthy life. More research into various methods and therapy is needed to determine the relationship between the age of early menopause and their psychosocial well-being.

Study on depletion of ovarian function and late-life chronic diseases in India.

OBJECTIVE: The current study aims to understand premature and early menopausal age in association with chronic conditions. METHODS: The present cross-sectional study analyzed nationally representative data from LASI (Longitudinal Aging Study in India) from 2017 to 2018. Bivariate analysis including cross-tabulation and χ2 tests were performed. Further multiple regression analysis was performed, using the generalized linear model of logit link. RESULTS: Approximately 2533 (8%) older women reported that they had experienced premature menopause (before age 40), while 3889 (12.4%) reported having early menopause (age 40-44). The likelihood of a woman with premature menopause developing cardiovascular diseases (CVDs) is 15% higher (adjusted odds ratio [AOR], 1.15; P < 0.05) than those who do not experience premature menopause, while women with early menopause have a 13% higher risk (AOR, 1.13; P < 0.05). For women who experienced premature menopause and were also smokers, the probability of developing CVDs was higher. Other chronic diseases such as bone or joint problems, diabetes, and eye vision problems were also shown to be significant health problems among women who had premature ovarian failure. CONCLUSION: Our results show significant association between women with premature or early depletion of ovarian function and chronic health conditions such as cardiovascular diseases, bone or joint problems, vision problems, and neurological or psychiatric disorders at their later life ages. Comprehensive strategies in the form of lifestyle changes may regulate hormonal levels and allow the body to reach menopause at the appropriate age.

The Great Lockdown in the Wake of COVID-19 and Its Implications: Lessons for Low and Middle-Income Countries.

Concern for public health has been growing with the increasing volume of cases of COVID-19 in India. To combat this pandemic, India has implemented nationwide lockdowns, and unlocking phases continue with certain restrictions in different parts of the country. The lockdown has required people to adopt social-distance measures to minimize contacts in order to reduce the risks of additional infection. Nevertheless, the lockdown has already impacted economic activities and other dimensions of the health of individuals and society. Although many countries have helped their people through advanced welfare protection networks and numerous support aids, several emerging economies face specific difficulties to adapt to the pandemic due to vulnerable communities and scarce resources. However, certain lower-income countries need more rigorous analysis to implement more effective strategies to combat COVID-19. Accordingly, the current systematic review addresses the impacts of the COVID-19 pandemic and lockdowns in India in relation to health and the economy. This work also provides further information on health inequalities, eco-nomic and social disparities in the country due to the COVID-19 pandemic and lockdowns and also contributes pragmatic suggestions for overcoming these challenges. These observations will be useful to the relevant local and national officials for improving and adopting novel strategies to face lockdown challenges.

Labour room violence in Uttar Pradesh, India: evidence from longitudinal study of pregnancy and childbirth.

OBJECTIVES: The 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. DESIGN: The 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. SETTINGS: Urban and rural areas of UP, India. PARTICIPANTS: Sample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women. OUTCOME: We 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. RESULT: About 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). CONCLUSION: In comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.