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One of the most speedy and substantial social shifts in human history has been the evolution of gender relations since the turn of the 20th century. Even though female health, literacy and women participation in workforce have significantly improved, the status of women in Indian society is not very satisfactory leading to gender disparities. It is in this background that this paper attempts to analyse the role of education, labour market and health in reducing gender disparities across the states over the period of time. To analyse the impact of these variables, Gender Disparity Index (GDI) has been constructed utilising the data from Periodic Labour Force Survey (PLFS) and Sample Registration System (SRS) to measure gender disparities in 20 major states and union territories (UTs) of India. For the construction of GDI, we have used three dimensions, namely health, empowerment and labour market participation. The index is prepared to make a decadal comparative study for the years 2011–12 and 2020–21. The statistical results indicate that there is a significant difference in mean of the GDI scores for 2020–21 and 2011–12. The paper concludes with certain policy implications suggesting that there is a need to put more effort into creating infrastructure and cutting-edge policies to improve the health and education systems. The focus should also be to create more employment opportunities for females, helping them to raise their standard of living so as to enhance their contribution towards economic growth.

Diversity in science is necessary to improve innovation and increase the capacity of the scientific workforce. Despite decades-long efforts to increase gender diversity, however, women remain a smallminority inmany fields, especially in senior positions.Thedearth of elite women scientists, in turn, leaves fewer women to serve as mentors and role models for young women scientists. To shed light on gender disparities in science, we study prominent scholars who were elected to the National Academy of Sciences. We construct author citation networks that capture the structure of recognition among scholars’ peers.We identify gender disparities in the patterns of peer citations and show that these differences are strong enough to accurately predict the scholar’s gender. In contrast, we do not observe disparities due to prestige, with few significant differences in the structure of citations of scholars affiliated with high-ranked and low-ranked institutions. These results provide further evidence that a scholar’s gender plays a role in the mechanisms of success in science.

Background Long COVID symptoms – which include brain fog, depression, and fatigue – are mild at best and debilitating at worst. Some U.S. health surveys have found that women, lower income individuals, and those with less education are overrepresented among adults with long COVID, but these studies do not address intersectionality. To fill this gap, we conduct an intersectional analysis of the prevalence and outcomes of long COVID in the U.S. We posit that disparities in long COVID have less to do with the virus itself and more to do with social determinants of health, especially those associated with occupational segregation and the gendered division of household work. Methods We use 10 rounds of Household Pulse Survey (HPS) data collected between June 2022 and March 2023 to perform an intersectional analysis using a battery of descriptive statistics that evaluate (1) the prevalence of long COVID and (2) the interference of long COVID symptoms with day-to-day activities. We also use the HPS data to estimate a set of multivariate logistic regressions that relate the odds of having long COVID and activity limitations due to long COVID to a set of individual characteristics as well as intersections by sex, race/ethnicity, education, and sexual orientation and gender identity. Results Findings indicate that women, some people of color, sexual and gender minorities, and people without college degrees are more likely to have long COVID and to have activity limitations from long COVID. Women have considerably higher odds of developing long COVID compared to men, a disparity exacerbated by having less education. Intersectional analysis by gender, race, ethnicity, and education reveals a striking step-like pattern: college-educated men have the lowest prevalence of long COVID while women without college educations have the highest prevalence. Daily activity limitations are more evenly distributed across demographics, but a different step-like pattern is present: fewer women with degrees have activity limitations while limitations are more widespread among men without degrees. Regression results confirm the negative association of long COVID with being a woman, less educated, Hispanic, and a sexual and gender minority, while results for the intersectional effects are more nuanced. Conclusions Results point to systematic disparities in health, highlighting the urgent need for policies that increase access to quality healthcare, strengthen the social safety net, and reduce economic precarity.

We examine patient gender disparities in survival rates following acute myocardial infarctions (i.e., heart attacks) based on the gender of the treating physician. Using a census of heart attack patients admitted to Florida hospitals between 1991 and 2010, we find higher mortality among female patients who are treated by male physicians. Male patients and female patients experience similar outcomes when treated by female physicians, suggesting that unique challenges arise when male physicians treat female patients. We further find that male physicians with more exposure to female patients and female physicians have more success treating female patients.

Educational attainment is an important social determinant of maternal, newborn, and child health 1 – 3 . As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting 4 – 6 . The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness 7 , 8 ; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health 9 – 11 . Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but—to our knowledge—no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries 12 – 14 . By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations. Analyses of the proportions of individuals who have completed key levels of schooling across all low- and middle-income countries from 2000 to 2017 reveal inequalities across countries as well as within populations.

Women have achieved parity with men among biomedical science degree holders but remain underrepresented in academic positions. The National Institutes of Health (NIH)—the world’s largest public funder of biomedical research—receives less than one-third of its new grant applications from women. Correspondingly, women compose less than one-third of NIH research grantees, even though they are as successful as men in obtaining first-time grants. Our study examined women’s and men’s NIH funding trajectories over time (n = 34,770), exploring whether women remain funded at the same rate as men after receiving their first major research grants. A survival analysis demonstrated a slightly lower funding longevity for women. We next examined gender differences in application, review, and funding outcomes. Women individually held fewer grants, submitted fewer applications, and were less successful in renewing grants—factors that could lead to gender differences in funding longevity. Finally, two adjusted survival models that account for initial investigator characteristics or subsequent application behavior showed no gender differences, suggesting that the small observed longevity differences are affected by both sets of factors. Overall, given men’s and women’s generally comparable funding longevities, the data contradict the common assumption that women experience accelerated attrition compared with men across all career stages. Women’s likelihood of sustaining NIH funding may be better than commonly perceived. This suggests a need to explore women’s underrepresentation among initial NIH grantees, as well as their lower rates of new and renewal application submissions.

The educational gradient in life expectancy is well documented in the United States and in other low-mortality countries. Highly educated Americans, on average, live longer than their low-educated counterparts, who have recently seen declines in adult life expectancy. However, limiting the discussion on lifespan inequality to mean differences alone overlooks other dimensions of inequality and particularly disparities in lifespan variation. The latter represents a unique form of inequality, with higher variation translating into greater uncertainty in the time of death from an individual standpoint, and higher group heterogeneity from a population perspective. Using data from the National Vital Statistics System from 1990 to 2010, this is the first study to document trends in both life expectancy and S25—the standard deviation of age at death above 25—by educational attainment. Among low-educated whites, adult life expectancy declined by 3.1 years for women and by 0.6 years for men. At the same time, S25 increased by about 1.5 years among high school–educated whites of both genders, becoming an increasingly important component of total lifespan inequality. By contrast, college-educated whites benefited from rising life expectancy and record low variation in age at death, consistent with the shifting mortality scenario. Among blacks, adult life expectancy increased, and S25 plateaued or declined in nearly all educational attainment groups, although blacks generally lagged behind whites of the same gender on both measures. Documenting trends in lifespan variation can therefore improve our understanding of lifespan inequality and point to diverging trajectories in adult mortality across socioeconomic strata.

Background: Deep brain stimulation (DBS) is the primary surgical intervention for Parkinson's disease (PD) patients with insufficient response to medication, significantly improving motor symptoms and quality of life. Despite FDA approval for over two decades, access to this therapy remains limited. This systematic review aims to evaluate the influence of gender, race/ethnicity, socioeconomic status, and age on health disparities associated with DBS for PD, providing an overview of current research in this field. Methods: A systematic literature search was conducted in PubMed/MEDLINE, Embase, Web of Science and Cochrane databases from 1960 to September 12th, 2023, following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Studies that examine the disparities in accessing DBS among patients with PD were included, comparing different demographic factors. Findings were synthesized and presented narratively to identify and understand DBS disparities. Results: After screening for relevance, 25 studies published between 1960-2023 were included, with 16 studies meeting full-text review criteria. While reviewing the references of the 16 articles, two additional studies were included, bringing the total number of included studies to 18. Most studies originated from the United States (44%). The identified studies were categorized as identifying disparities, understanding disparities, or reducing disparities. The majority focused on identifying disparities (72%), while fewer studies delved into understanding the underlying factors (28%). No studies evaluated strategies for reducing disparities. The findings indicate that elderly, female, and Black people, as well as those from low socioeconomic backgrounds and developing countries face greater obstacles in accessing DBS for PD. Conclusion: This study highlights factors contributing to disparities in DBS utilization for PD, including race, gender, and socioeconomic status. Public health policymakers, practitioners, and clinicians should recognize these inequalities and work towards reducing disparities, particularly among vulnerable populations.

Cardiogenic shock complicating acute myocardial infarction (AMI-CS) remains a critical condition with high morbimortality. Despite advances, gender disparities persist in the management of this condition. Our aim was to evaluate gender differences in the utilization and outcomes of mechanical circulatory support (MCS) in AMI-CS. In addition, we addressed the management strategies for AMI-CS stratified by race/ethnicity. We performed a retrospective study using the National Inpatient Sample from 2016 to 2019, including admissions with AMI-CS. The use of MCS and outcomes were compared between genders using inverse probability of treatment weighting. Odds ratios (OR) with their 95% confidence interval (CI) were estimated. A total of 151,560 admissions for AMI-CS were analyzed, including 98,855 male and 52,705 female patients. After the inverse probability of treatment weighting adjustment, females were significantly less likely to receive MCS (OR 0.77, 95% CI 0.73 to 0.81, p <0.001) and had higher in-hospital mortality rates (OR 1.09, 95% CI 1.00 to 1.18, p = 0.045) than males. No significant gender differences were observed in major bleeding, renal replacement therapy, or mechanical ventilation. Racial disparities were also evident, with female patients across all racial groups being less likely to receive MCS compared with their male counterparts. In conclusion, significant gender disparities exist in the utilization and outcomes of MCS in patients with AMI-CS. Female patients are less likely to receive MCS and have higher in-hospital mortality rates compared with male patients. Racial minorities, including Black and Hispanic patients, experience lower utilization of MCS compared with White patients. These findings underscore the complex interplay between gender, race/ethnicity, and health care access and outcomes.

Women tend to be segregated into different subspecialties than men within male-dominated occupations, but the mechanisms contributing to such intra-occupational gender segregation remain obscure. In this study, I use data from an online recruiting platform and a survey to examine the hiring mechanisms leading to gender segregation within software engineering and development. I find that women are much more prevalent among workers hired in software quality assurance than in other software subspecialties. Importantly, jobs in software quality assurance are lower-paying and perceived as lower status than jobs in other software subspecialties. In examining the origins of this pattern, I find that it stems largely from women being more likely than men to apply for jobs in software quality assurance. Further, such gender differences in job applications are attenuated among candidates with stronger educational credentials, consistent with the idea that relevant accomplishments help mitigate gender differences in self-assessments of competence and belonging in these fields. Demand-side selection processes further contribute to gender segregation, as employers penalize candidates with quality assurance backgrounds, a subspecialty where women are overrepresented, when they apply for jobs in other, higher-status software subspecialties.