Dataset Information

Intersectional inequalities in science.

ABSTRACT: The US scientific workforce is primarily composed of White men. Studies have demonstrated the systemic barriers preventing women and other minoritized populations from gaining entry to science; few, however, have taken an intersectional perspective and examined the consequences of these inequalities on scientific knowledge. We provide a large-scale bibliometric analysis of the relationship between intersectional identities, topics, and scientific impact. We find homophily between identities and topic, suggesting a relationship between diversity in the scientific workforce and expansion of the knowledge base. However, topic selection comes at a cost to minoritized individuals for whom we observe both between- and within-topic citation disadvantages. To enhance the robustness of science, research organizations should provide adequate resources to historically underfunded research areas while simultaneously providing access for minoritized individuals into high-prestige networks and topics.

SUBMITTER: Kozlowski D

PROVIDER: S-EPMC8764684 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Intersectional inequalities in science.

Kozlowski Diego D Larivière Vincent V Sugimoto Cassidy R CR Monroe-White Thema T

Proceedings of the National Academy of Sciences of the United States of America 20220101 2

The US scientific workforce is primarily composed of White men. Studies have demonstrated the systemic barriers preventing women and other minoritized populations from gaining entry to science; few, however, have taken an intersectional perspective and examined the consequences of these inequalities on scientific knowledge. We provide a large-scale bibliometric analysis of the relationship between intersectional identities, topics, and scientific impact. We find homophily between identities and ...[more]

PMID: 34983876

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Project description:BackgroundPhysical intimate partner violence (IPV) risk looms large for younger women in Bangladesh. We are, however, yet to know the association between their intersectional social locations and IPV across communities. Drawing on intersectionality theory's tenet that interacting systems of power, oppressions, and privileges work together, we hypothesized that (1) younger, lower educated or poor women's physical IPV experiences will be exacerbated in disadvantaged communities; and conversely, (2) younger, higher educated or nonpoor women's physical IPV experiences will be ameliorated in advantaged communities.MethodsWe applied intercategorical intersectionality analyses using multilevel logistic regression models in 15,421 currently married women across 911 communities from a national, cross-sectional survey in 2015. To test the hypotheses, women's probabilities of currently experiencing physical IPV among intersectional social groups were compared. These comparisons were made, at first, within each type of disadvantaged (e.g., younger or poor) and advantaged (e.g., older or nonpoor) communities; and then, between different types of communities.ResultsWhile our specific hypotheses were not supported, we found significant within community differences, suggesting that younger, lower educated or poor women were bearing the brunt of IPV in almost every community (probabilities ranged from 34.0-37.1%). Younger, poor compared to older, nonpoor women had significantly higher IPV probabilities (the minimum difference = 12.7, 95% CI, 2.8, 22.6) in all communities. Similar trend was observed between younger, lower educated compared to older, higher educated women in all except communities that were poor. Interestingly, younger women's advantage of higher education and material resources compared to their lower educated or poor counterparts was observed only in advantaged communities. However, these within community differences did not vary between disadvantaged and advantaged communities (difference-in-differences ranged from - 0.9%, (95% CI, - 8.5, 6.7) to - 8.6%, (95% CI, - 17.6, 0.5).ConclusionsUsing intersectionality theory made visible the IPV precarity of younger, lower educated or poor women across communities. Future research might examine the structures and processes that put them at these precarious locations to ameliorate their socio-economic-educational inequalities and reduce IPV in all communities. For testing hypotheses using intersectionality theory, this study might advance scholarship on physical IPV in Bangladesh and quantitative intersectionality globally.

Project description:BackgroundIn 2021, Scotland became the first UK country to launch a Women's Health Plan. This policy signals increasing commitment to broader ambitions surrounding gender equality in health. Research shows a connection between discrimination and health, representing a contributor to health inequalities. There remains sparse evidence on how certain groups experience discrimination that could be useful for policymaking. This research set out to address this evidence gap through exploring how discrimination shapes young women's experiences of mental health and inequalities in Scotland.MethodsWe interviewed women aged 16-25 years (n=28), living in Scotland, UK, adopting an intersectional approach to recruitment and data analysis. We used a semi-structured topic guide to facilitate open discussion about discrimination and health. Transcripts were analysed by two researchers using Thematic Analysis and NVivo software.FindingsWe identified three themes that illuminate intersectional discrimination and the impact on mental health. The first outlines how experiences of discrimination in school, work and public spaces (and the anticipation of such) creates stress leading to mental health problems, particularly for participants from ethnic minority groups. The second highlights the lack of support for mental health, both at structural and interpersonal levels, which was viewed by young women as a form of intersectional discrimination, largely because of their gender and age. Finally, we developed a mid-level theory termed the 'chain of dismissal' that displays that for both physical or mental health symptoms, young women's concerns are immediately "written off" as anxiety-related and in turn a natural attribute of young women. These themes show that discrimination has the potential to amplify mental health problems for young women and is a likely contributor to health inequalities.ConclusionsStructural disadvantages such as racism intersect with gender and age to compound the experience of discrimination for marginalised young women. To improve mental health and reduce health inequalities for young women, multi-level approaches are needed, with strong consideration of how the structural and cultural landscape as well as assumptions made by healthcare professionals have critical implications for young women's health.

Project description:BackgroundBreast cancer incidence rates are increasing in developing countries including India. With 1.3 million new cases of cancer been diagnosed annually, breast cancer is the most common women's cancer in India. India's National Family Health Survey (NFHS-4) data 2015-2016 shows that only 9.8% of women between the ages of 15 and 49 had ever undergone breast examination (BE). Further, access to screening and treatment is unequally distributed, with inequalities by socio-economic status. It is unclear, however, if socio-economic inequalities in breast examination are similar across population subgroups.MethodsWe compared BE coverage in population sub-groups categorised by place of residence, religion, caste/tribal groups, education levels, age, marital status, and employment status in their intersection with economic status in India. We analysed data for 699,686 women aged 15-49 using the NFHS-4 data set conducted during 2015-2016. Descriptive (mean, standard errors, and confidence intervals) of women undergoing BE disaggregated by dimensions of inequality (education, caste/tribal groups, religion, place of residence) and their intersections with wealth were computed with national weights using STATA 12. Chi-square tests were performed to assess the association between socio-demographic factors and breast screening. Additionally, the World Health Organisation's Health Equity Assessment Toolkit Plus was used to compute summary measures of inequality: Slope index for inequality (SII) and Relative Concentration Indices (RCI) for each intersecting dimension.ResultsBE coverage was concentrated among wealthier groups regardless of other intersecting population subgroups. Wealth-related inequalities in BE coverage were most pronounced among Christians (SII; 20.6, 95% CI: 18.5-22.7), married (SII; 14.1, 95% CI: 13.8-14.4), employed (SII: 14.6, 95%CI: 13.9, 15.3), and rural women (SII; 10.8, 95% CI: 10.5-11.1). Overall, relative summary measures (RCI) were consistent with our absolute summary measures (SII).ConclusionsBreast examination coverage in India is concentrated among wealthier populations across population groups defined by place of residence, religion, age, employment, and marital status. Apart from this national analysis, subnational analyses may also help identify strategies for programme rollout and ensure equity in women's cancer screening.

Project description:There is an increasing focus on structural and social determinants of inequalities in young people's mental health across different social contexts. Taking higher education as a specific social context, it is unclear whether university attendance shapes the impact of intersectional social identities and positions on young people's mental health outcomes. Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) was used to predict the odds that mental distress during adolescence, sex, socioeconomic status, sexual identity, ethnicity, and their intersections, were associated with young people's mental health outcomes at age 25, and whether this differed based on university attendance. Data from the Longitudinal Study of Young People in England cohort study were analysed with the MAIHDA approach, and the results did not reveal any evidence of multiplicative intersectional (i.e., aggravating) effects on young people's mental health outcomes. However, important main effects of social identities and positions (i.e., an additive model) were observed. The findings suggested that being female or identifying as a sexual minority increased the odds of young people experiencing mental health problems at age 25, although the odds of self-harming were half the size for sexual minorities who had attended university. Black and Asian individuals were less likely to declare a mental illness than White individuals. Young people who grew up in a more deprived area and had not attended university were more likely to experience mental health problems. These findings imply that mental health interventions for young people do not necessarily have to be designed exclusively for specific intersectional groups. Further, university attendance appears to produce better mental health outcomes for some young people, hence more investigation is needed to understand what universities do for young people, and whether this could be replicated in the wider general population.

Dataset Information

Intersectional inequalities in science.

Publications

Intersectional inequalities in science.

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