Health Disparities Research Articles

Do small effects matter more in vulnerable populations? an investigation using Environmental influences on Child Health Outcomes (ECHO) cohorts

BackgroundA major challenge in epidemiology is knowing when an exposure effect is large enough to be clinically important, in particular how to interpret a difference in mean outcome in unexposed/exposed groups. Where it can be calculated, the proportion/percentage beyond a suitable cut-point is useful in defining individuals at high risk to give a more meaningful outcome. In this simulation study we compute differences in outcome means and proportions that arise from hypothetical small effects in vulnerable sub-populations.MethodsData from over 28,000 mother/child pairs belonging to the Environmental influences on Child Health Outcomes Program were used to examine the impact of hypothetical environmental exposures on mean birthweight, and low birthweight (LBW) (birthweight < 2500g). We computed mean birthweight in unexposed/exposed groups by sociodemographic categories (maternal education, health insurance, race, ethnicity) using a range of hypothetical exposure effect sizes. We compared the difference in mean birthweight and the percentage LBW, calculated using a distributional approach.ResultsWhen the hypothetical mean exposure effect was fixed (at 50, 125, 167 or 250g), the absolute difference in % LBW (risk difference) was not constant but varied by socioeconomic categories. The risk differences were greater in sub-populations with the highest baseline percentages LBW: ranging from 3.1–5.3 percentage points for exposure effect of 125g. Similar patterns were seen for other mean exposure sizes simulated.ConclusionsVulnerable sub-populations with greater baseline percentages at high risk fare worse when exposed to a small insult compared to the general population. This illustrates another facet of health disparity in vulnerable individuals.

Health behaviors at the start of the COVID-19 pandemic: Evidence for indirect effects of subjective social status via psychological distress.

Subjective social status (SSS), the perception of one's social standing compared to others in society, and socioeconomic status (SES) are interconnected but distinct determinants of health. Intermediary factors such as distress and health behaviors can contribute to this relationship. This pre-registered study hypothesized that, in the early months of the COVID-19 pandemic, nonspecific psychological distress would indirectly link SSS and SES to perceived changes in three health behaviors: sleep quality, physical activity, and alcohol consumption. Data from 412 US adults were collected from April to June 2020 through an online cross-sectional survey. Findings indicated that lower SSS was indirectly associated with lower current sleep quality, worsened sleep quality, and decreased physical activity since the pandemic onset via greater psychological distress. Path analyses controlled for age, gender, race, COVID-19-related worry, and shelter-in-place status. Results are discussed in light of findings from COVID-19 research and the broader literature on SES health disparities.

Socio-demographic differences in the dietary inflammatory index from National Health and Nutrition Examination Survey 2005-2018: a comparison of multiple imputation versus complete case analysis.

Studies using the dietary inflammatory index often perform complete case analyses (CCA) to handle missing data, which may reduce the sample size and increase the risk of bias. Furthermore, population-level socio-economic differences in the energy-adjusted dietary inflammatory index (E-DII) have not been recently studied. Therefore, we aimed to describe socio-demographic differences in E-DII scores among American adults and compare the results using two statistical approaches for handling missing data, i.e. CCA and multiple imputation (MI). Cross-sectional analysis. E-DII scores were computed using a 24-hour dietary recall. Linear regression was used to compare the E-DII scores by age, sex, race/ethnicity, education and income using both CCA and MI. USA. This study included 34 547 non-Hispanic White, non-Hispanic Black and Hispanic adults aged ≥ 20 years from the 2005-2018 National Health and Nutrition Examination Survey. The MI and CCA subpopulations comprised 34 547 and 23 955 participants, respectively. Overall, 57 % of the American adults reported 24-hour dietary intakes associated with inflammation. Both methods showed similar patterns wherein 24-hour dietary intakes associated with high inflammation were commonly reported among males, younger adults, non-Hispanic Black adults and those with lower education or income. Differences in point estimates between CCA and MI were mostly modest at ≤ 20 %. The two approaches for handling missing data produced comparable point estimates and 95 % CI. Differences in the E-DII scores by age, sex, race/ethnicity, education and income suggest that socio-economic disparities in health may be partially explained by the inflammatory potential of diet.

Genomic and Socioeconomic Determinants of Racial Disparities in Breast Cancer Survival: Insights from the All of Us Program.

Background: Breast cancer outcomes are worse among Black women in the U.S. compared to White women. While extensive research has focused on risk factors contributing to breast cancer; the role of genomic elements in health disparities between these racial groups remains unclear. This study aims to identify genomic variants and socioeconomic status (SES) determinants influencing racial disparities in breast cancer survival through multiple mediation analyses. Methods: Our investigation is based on the NIH-supported All of Us (AoU) program and analyzes 7452 female participants with malignant tumors of breast, including 5073 with genomic data. A log-rank test reveals significant racial differences in overall survival time between Black and White participants (p-value = 0.04). Multiple mediation analysis examines the effects of 9481 genetic variables across 23 chromosomes in explaining the racial disparity in survival, adjusting for SES variables. Results: 15 gene mutations, in addition to age, general health, and general quality of life, have significant effects (p-values < 0.001) in explaining the observed racial disparity. Mutations in TMEM132B, NARFL, SALL1, PAD12, RIPK1, ASB14, DCX, GNB1L, ARHGAP32, AL135787.1, WBP11, SLC16A12AS1, AP000345.1, IKBKB, and SUPT20H have significantly different distributions between Black and White participants. The disparity is completely explained by the included variables as the direct effect is insignificant (p-value = 0.73). Conclusions: The combined impact of SES determinants and genetic mutations can explain the observed differences in breast cancer survival among Black and White participants. Future studies will explore pathways and design in vivo and in vitro experiments to validate the functions of these genes.

Racial and Ethnic Disparities in Emergency Department Use Among Older Adults With Asthma and Primary Care Nurse Practitioner Work Environments.

Older adults from specific racial and ethnic minoritized groups experience disproportionately higher asthma prevalence, morbidity, and mortality. They also often use emergency departments (EDs) to manage their asthma. High-quality primary care can improve asthma control and prevent ED use. Nurse practitioners (NPs) provide an increasing proportion of primary care to minoritized patients, yet often, they work in poor work environments that strain NP care. We examined whether racial and ethnic health disparities in ED visits among older adults with asthma are moderated by the NP work environment in primary care practices. In 2018-2019, we used a cross-sectional design to collect survey data on NP work environments from 1,244 NPs in six geographically diverse states (i.e., Arizona, California, New Jersey, Pennsylvania, Texas, and Washington). We merged the survey data with 2018 Medicare claims data from 46,658 patients with asthma to assess the associations of all-cause and ambulatory care-sensitive conditions, ED visits with NPs' work environment, and race and ethnicity using logistic regression. More than one third of patients with asthma visited the ED in 1 year, and a quarter of them had an ambulatory care sensitive condition ED visit. Black and Hispanic patients were more likely than White patients to have all-cause and ambulatory care sensitive condition ED visits. NP work environment moderated the association of race with all-cause and ambulatory care sensitive condition ED visits among patients with asthma. Greater standardized NP work environment scores were associated with lower odds of all-cause and ambulatory care sensitive condition ED visits between Black and White patients. Disparities in ED visits between Black and White patients with asthma decrease when these patients receive care in care clinics with more favorable NP work environments. Preventing unnecessary ED visits among older adults with asthma is a likely benefit of favorable NP work environments. As the NP workforce grows, creating favorable work environments for NPs in primary care is vital for narrowing the health disparity gap.

Assessing Electronic Health Records for Describing Racial and Ethnic Health Disparities: A Research Note.

The use of data derived from electronic health records (EHRs) to describe racial and ethnic health disparities is increasingly common, but there are challenges. While the number of patients covered by EHRs can be quite large, such patients may not be representative of a source population. One way to evaluate the extent of this limitation is by linking EHRs to an external source, in this case with the American Community Survey (ACS). Relying on a stratified random sample of about 200,000 patient records from a large, public, integrated health delivery system in North Carolina (2016-2019), we assess linkages to restricted ACS microdata (2001-2017) by race and ethnicity to understand the strengths and weaknesses of EHR-derived data for describing disparities. The results in this research note suggest that Black-White comparisons will benefit from standard adjustments (e.g., weighting procedures) but that misestimation of health disparities may arise for Hispanic patients because of differential coverage rates for this group.

To each their own: sociodemographic disparities in student mental health

To each their own: sociodemographic disparities in student mental health

Differential prediction performance between Caribbean- and Mainland-subgroups using state-of-the-art polygenic risk scores for coronary heart disease: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Coronary heart disease (CHD) is a leading cause of death for Hispanic/Latino populations in the United States. We evaluated polygenic risk scores (PRS) with incident myocardial infarction (MI) in a Hispanic/Latino study sample. We leveraged data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) to assess four CHD-PRS from the PGS catalog, derived using multiple methods (LDpred, AnnoPred, stacked clumping and thresholding, and LDPred2). We evaluated associations between each standardized PRS and time to adjudicated incident MI, adjusted for age, sex, first 5 principal components, and weighted for survey design. Concordance statistics (c-index) compared predictive accuracy of each PRS with, and in addition to, traditional risk factors (TRF) for CHD (obesity, hypercholesterolemia, hypertension, diabetes, and smoking). Analyses were stratified by self-reported Caribbean- (Puerto Rican, Dominican or Cuban) and Mainland- (those of Mexican, Central American, or South American) heritage subgroups. After 11 years follow-up, for 9055 participants (mean age (SD) 47.6(13.1), 62.2% female), the incidence of MI was 1.0% (n = 95). Each PRS was more strongly associated with MI among Mainland participants. LDPred2 + TRF performed best among the Mainland subgroup; HR=2.69, 95% CI [1.71, 4.20], c-index = 0.897, 95% CI [0.848, 0.946]; a modest increase over TRF alone, c-index = 0.880, 95% CI [0.827, 0.933]. AnnoPred + TRF performed best among the Caribbean sample; c-index = 0.721, 95% CI [0.647, 0.795]; however, was not significantly associated with rate of MI (HR=1.14, 95% CI [0.82, 1.60]). PRS performance for CHD is lacking for Hispanics/Latinos of Caribbean origin who have substantial proportions of African genetic ancestry, risking increased health disparities. AnnoPred, using functional annotations, outperformed other PRS in the Caribbean subgroup, suggesting a potential strategy for PRS construction in diverse populations. These results underscore the need to optimize cumulative genetic risk prediction of CHD in diverse Hispanic/Latino populations.

The OBS UK Dashboard: an interactive tool for representative trial site selection to facilitate equality and diversity in maternity research

BackgroundObstetric Bleeding Study UK (OBS UK) (award ID: 152057) is a National Institute for Health and Care Research (NIHR)-funded stepped wedge cluster randomised controlled trial of a complex intervention for postpartum haemorrhage. This was developed in Wales and evaluated in a feasibility study, with improvements in maternal outcomes observed. Generalisability of the findings is limited by lack of control data and limited ethnic diversity in the Welsh obstetric patient population compared to the United Kingdom (UK): 94% of the Welsh population identifies as White, versus 82% in the UK. Non-White ethnicity and socioeconomic deprivation are linked to increased risk of adverse maternal outcomes. Traditionally, decisions regarding site selection are based on desire to complete trials on target in ‘tried and tested’ research active institutions. To ensure widespread applicability of the results and investigate the impact of ethnicity and social deprivation on trial outcomes, maternity units were recruited that represent the ethnic diversity and social deprivation profiles of the UK.MethodUsing routinely collected, publicly available data, an interactive dashboard was developed that demonstrates the demographics of the population served by each maternity unit in the UK, to inform site recruitment. Data on births per year, ethnic and socioeconomic group of the population for each maternity unit, across the UK, were integrated into the dashboard.ResultsThe dashboard demonstrates that OBS UK trial sites reflect the ethnic and socioeconomic diversity of the UK (study vs UK population ethnicity: White 79.2% vs 81.7%, Asian 10.5% vs 9.3%, Black 4.7% vs 4.0%, Mixed 2.5% vs 2.9%, Other 3.0% vs 2.1%) with variation in site demography, size and location. Missing data varied across sites and nations and is presented.ConclusionThe NIHR equality, diversity and inclusion strategy states studies must widen participation, facilitating individuals from all backgrounds to engage. The development of this novel interactive dashboard demonstrates an innovative way of achieving this. National Health Service (NHS) maternity researchers should consider using this tool to enhance diversity in research, address health disparities and improve generalisability of findings. This approach could be applied to healthcare settings beyond maternity care and across different global populations.Trial registrationISRCTN 17679951. Registered on August 30, 2023.

Familias con Orgullo: Pilot Study of a Family Intervention for Latinx Sexual Minority Youth to Prevent Drug Use, Sexual Risk Behavior, and Depressive Symptoms.

Families are key in the healthy development of Latinx sexual minority youth (Latinx SMY), a group that experiences behavioral, mental, and sexual health disparities. Despite this, there are no family-based interventions for Latinx SMY and their families to prevent drug use, sexual risk behaviors, and depressive symptoms. The purpose of this pilot study was to evaluate the preliminary impact (i.e., estimated effect sizes) of Familias con Orgullo (FcO) and examine its feasibility and acceptability among 30 Latinx SMY and their parents. Parents and adolescents were randomized to FcO or a control condition and assessed pre/post-intervention. Feasibility was measured based on session completion and effect sizes. Focus groups were conducted to evaluate intervention acceptability. Findings showed promising effects favoring FcO on parent-adolescent communication (d = 0.46) and parental involvement (d = 0.34). There were also promising effects favoring FcO on suicidal thoughts (OR = 0.75) and depression symptoms (OR = 0.69). Finally, 100% of the adolescents in FcO either continued to remain drug-free or transitioned from current use to no use (from baseline to post-intervention) compared to 74% in the control. Effect sizes for condomless sex, parental monitoring, and positive parenting were small. Session completion (above 80%) and focus group findings indicated strong feasibility and acceptability. FcO holds promise for reducing drug use and depressive symptoms and improving family functioning among Latinx SMY.

A qualitative reflexive thematic analysis of innovation and regulation in hearing health care

BackgroundThe hearing health sector is an example of a health sector that is experiencing a period of rapid innovation driven by digital technologies. These innovations will impact the types of interventions and services available to support the communication of deaf and hard-of-hearing individuals. This study explored the perceptions of informed participants on the topic of innovation and regulation within hearing healthcare in Australia and the United Kingdom (UK).MethodsParticipants (N = 29, Australia [n = 16], UK [n = 13]) were purposively sampled and joined one of two online workshops. Participants included adults with hearing loss and family members, hearing health professionals, academics/researchers, representatives of hearing device manufacturers, regulators and policymakers. Workshop data were analysed using reflexive thematic analysis.ResultsParticipants conceptualised the hearing health sector as a network of organisations and individuals with different roles, knowledge and interests, in a state of flux driven by innovation and regulation. Innovation and regulation were perceived as mechanisms to ensure quality and mitigate risk within a holistic approach to care. Innovations encompassed technological as well as non-technological innovations of potential benefit to consumers. Participants agreed it was essential for innovation and regulation to be congruent with societal values. Critical to ethical congruence was the involvement of consumers throughout both innovation and regulation stages, and the use of innovation and regulation to tackle stigma and reduce health disparities. Participants expressed the desire for accessible and inclusive innovation in the context of fair, transparent and trustworthy commercial practices.ConclusionsThis study explored how stakeholders within the hearing health sector understand and make sense of innovation and the role of regulation. Overall, and despite reservations relating to health care professionals’ changing roles and responsibilities, innovation and regulation were conceptualised as beneficial when situated in the context of holistic, whole-person, models of care. The results of this study will inform considerations to support the development and implementation of innovations and regulation within the hearing sector and across other health sectors influenced by technological advances.

Harnessing Hope in Digital Spaces for Health Equity: How Group Comparison Information and Supportive Comments Influence Bone Marrow Donor Intentions for African Americans.

Pursuing health equity necessitates recognizing health disparities that disproportionately impact disadvantaged groups and eliminating their barriers to essential health resources. Interactive digital technologies-specifically, popular social media platforms such as blogs and social networks-can be leveraged to engage underserved minority populations in collective social action aimed at addressing key determinants of health disparities and promoting equitable health outcomes. The present research focuses on the plight of African Americans-a minority group facing significant health disparities. Particularly in the domain of bone marrow donation, African Americans remain the group least likely to find a matching donor. Guided by the social comparison framing literature, we conducted an online experiment to investigate how group comparison information (GCI) emphasizing group-based disparities and supportive user comments on social media platforms influence African Americans' intentions to join a bone marrow registry. In doing so, we considered hope as a mediator and group identification as a moderator. Results based on a conditional process analysis showed that GCI led to greater bone marrow donor intentions in the presence of supportive comments through elicitation of hope, particularly among those low in group identification. The current findings demonstrate that it is important to consider the role of supportive message environments and group identification when addressing health disparities with GCI. Theoretical and practical implications are discussed.

The temporal trend and disparity in short-term health impacts of fine particulate matter in California (2006–2019)

Most epidemiological studies assume that the relationship between short-term air pollution exposure and health outcomes is constant over time, which ignores potential changes in population composition and particulate matter emission sources. Limited studies have assessed changes in the relationship between fine particulate matter (PM2.5) and adverse health outcomes over time, with mixed results. Additionally, there is a need to identify which subgroups are disproportionately impacted over time by PM2.5-related health consequences. Therefore, we aimed to examine whether temporal trends exist in the relationships between daily PM2.5 exposure and circulatory and respiratory acute care utilization in California from 2006 to 2019. We further assessed whether certain subpopulations are more susceptible to PM2.5 exposure by demographic characteristics and extreme wildfire frequency. Daily PM2.5 concentrations estimated from a stacked ensemble model and daily cause-specific acute care utilization and demographic data from the California Department of Health Care Access and Information. We analyzed this relationship using modified two-stage Bayesian hierarchical models, where we first did not consider temporal trends, then stratified by two periods, and finally flexibly considered non-linear changes over time. Increases in circulatory (0.56 %; 95 % credible interval (CI): 0.17 %, 0.96 %) and respiratory acute care utilization risk (2.61 %; 95%CI: 2.29 %, 2.94 %) were found with every 10 μg/m3 increase in PM2.5 on the same day and previous two days. These risks were found to increase over time, where 0.13 % (95%CI: 0.02 %, 0.22 %) and 1.40 % (95%CI: 1.24 %, 1.54 %) increases were identified for circulatory and respiratory acute care utilizations, respectively, from the first (2006–2012) to second period (2013–2019). Differences by age, sex, race/ethnicity, and extreme wildfire frequency were noted. These findings confirm that air pollution guidelines should consider the dynamic nature of epidemiological dose-response and can provide insight for targeted air pollution control and adaptation policies designed to reduce PM2.5 exposure, particularly for the most susceptible subpopulations.

The granular landscape of health disparities: a socio-spatial examination of chronic disease prevalence within New York City's community districts

This study investigates the relationship between neighborhood Socioeconomic Position (SEP) and the prevalence of hypertension and coronary heart disease (CHD) across New York City's community districts. By using a composite SEP index derived from multiple socioeconomic indicators, the research seeks to uncover health disparities that may be obscured in broader geographic analyses. A primary objective is to identify community districts where hypertension and CHD prevalence is significantly higher than expected, even after adjusting for SEP. This focus helps pinpoint areas where targeted public health interventions may be urgently required, especially when the anticipated inverse relationship between SEP and health outcomes does not hold. A linear mixed-effects model (LMM) was used to analyze the association between SEP and these health outcomes, incorporating both fixed and random effects to account for variation across the city's 59 community districts. The analysis revealed a significant negative association between SEP and both hypertension and CHD, with higher SEP levels generally correlating with lower prevalence rates. However, some districts exhibited high random effects, indicating a higher-than-expected prevalence of these conditions, even after controlling for SEP. The authors suspect that additional factors-such as environmental exposures, healthcare accessibility, or community infrastructure-may contribute to these unexplained disparities. The findings emphasize the need for public health strategies that are sensitive to local contexts and the multifactorial nature of health inequities. Understanding the complex drivers behind these disparities can inform policies aimed at reducing health inequities in diverse urban environments.

Socio-economic inequalities and heart failure morbidity and mortality: A systematic review and data synthesis.

Socio-economic status (SES) has been associated with incident and prevalent heart failure (HF), as well as its morbidity and mortality. However, the precise nature of the relationship between SES and HF remains unclear due to inconsistent data. This study aims to provide a comprehensive assessment and data synthesis of the relationship between SES and HF morbidity and mortality. We performed a systematic search and data synthesis using six databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines. The included studies comprised observational studies that reported on HF incidence and prevalence, HF hospitalizations, worsening HF (WHF) and all-cause mortality, as well as treatment options (medical, device and advanced HF therapies). SES was measured on both individual and area levels, encompassing single (e.g., income, education, employment, social risk score, living conditions and housing characteristics) and composite indicators. Among the 4124 studies screened, 79 were included, with an additional 5 identified through cross-referencing. In the majority of studies, a low SES was associated with an increased HF incidence (72%) and prevalence (75%). For mortality, we demonstrated that low SES was associated with increased mortality in 45% of the studies, with 18% of the studies showing mixed results (depending on the indicator, gender or follow-up) and 38% showing non-significant results. Similar patterns were observed for the association between SES, WHF, medical therapy prescriptions and the utilization of devices and advanced HF therapies. There was no clear pattern in the used SES indicators and HF outcomes. This systematic review, using contemporary data, shows that while socio-economic disparity may influence HF incidence, management and subsequent adverse events, these associations are not uniformly predictive. Our review highlights that the impact of SES varies depending on the specific indicators used, reflecting the complexity of its influence on health disparities. Assessment and recognition of SES as an important risk factor can assist clinicians in early detection and customizing HF treatment, while also aiding policymakers in optimizing resource allocation.

The impact of digital inequities on salivary gland cancer disparities in the United States.

Technology and internet access have become increasingly integrated into healthcare as the primary platform for health-related information and provider-patient communication. Disparities in access to digital resources exist in the United States and have been shown to impact health outcomes in various head and neck malignancies. Our objective is to evaluate the associations of digital inequity on health outcomes in patients with salivary gland cancer (SGC). The Digital Inequity Index (DII) was developed using 17 census-tract level variables obtained from the American Community Survey and Federal Communications Commission. Variables were categorized as digital infrastructure or sociodemographic (e.g., non-digital) and scored based on relative rankings across all US counties. Scores were assigned to patients from the Surveillance-Epidemiology-End Results (SEER) database diagnosed with SGC between 2013 and 2017 based on county-of-residence. Regressions were performed between DII score and outcomes of surveillance time, survival time, tumor stage at time of diagnosis, and treatment modality. Among 9306 SGC-patients, increased digital inequity was associated with advanced-staging at presentation (OR: 1.04, 95% CI: 1.01-1.07, p = 0.033), increased odds of chemotherapy receipt (OR: 1.05, CI: 1.01-1.10, p = 0.010), and decreased odds of surgical intervention (OR: 0.94, 95% CI: 0.91-0.98, p = 0.003) after accounting for traditional sociodemographic factors. Increased digital inequity was also associated with decreased surveillance time and survival periods. Digital inequity significantly and independently associates with negative health and treatment outcomes in SGC patients, highlighting the importance of directed efforts to address these seldom-investigated drivers of health disparities.

How do complete streets policies and legislative ordinances implement explicit wording regarding low-income populations and communities of color? A qualitative analysis

OverviewActive transportation, walking/bicycling for transportation, provides physical/mental health benefits to those who participate; however, there are inequities in participation among various populations, which creates health disparities among groups (racial/ethnic minorities, LGBTQ+ communities, low-income, disabled/older individuals, youth/children, women). Complete Streets policies and legislative ordinances aim to ‘create useable streets for all’ in various cities across the United States; however, previous studies showed a lack of wording surrounding low-income populations and communities of color within these specific city-level literatures. The purpose of this current study was to qualitatively examine city-level policies/legislative ordinances addressed low-income populations and communities of color using thematic analysis. MethodsComplete Streets plans which had mentioned low-income populations and communities of color were obtained from a previous study and a public database. Thematic qualitative analysis was conducted to identify common themes. ResultsComplete Streets initiatives (n = 57) were analyzed with various themes identified, including actionable strategies for implementation, identification of funding mechanisms, and others. DiscussionComplete Streets policies and legislative ordinancesguide key stakeholders to creating safe and accessible roads for populations of different demographics and traveling in different transportation modes. Underserved and under resourced populations need be included within policy/legislation literature to ensure equitable engagement within city-level Complete Streets plans.

“It became a cycle I was not able to break” towards menstrual justice: addressing human rights violation at Indian workplaces

Purpose This paper aims to advance the concept of “menstrual justice” by building on the comprehensive framework developed by Margaret E. Johnson (2019), which integrates legal rights, social justice and intersectional analysis. By applying Johnson’s insights and human rights frameworks to menstrual health management, the study advocates for state interventions to safeguard women labourers from exploitative practices that endanger their reproductive health and to uphold their menstrual rights. Design/methodology/approach A case study methodology is used to scrutinize menstrual injustices experienced by women labourers in precarious employment conditions. Specifically, it examines two cases, the mass hysterectomies in Beed, Maharashtra and the administration of unidentified pharmaceuticals to women in Tamil Nadu factories to mitigate menstrual pain and maximize productivity. Findings The findings reveal severe violations pertaining to menstrual justice, with practices deeply rooted in socioeconomic deprivation and systemic neglect. These issues subject female workers to various forms of gender-based violence that goes beyond physical abuse, raising critical concerns about menstrual justice and human rights violations. Research limitations/implications The study’s findings have limited generalizability due to the specific contexts of the case study. Furthermore, the absence of insights from managers/supervisors, and factory owners limits a comprehensive understanding of the policies and factors leading to neglect of menstrual management practices. Practical implications The findings of the study will prompt the medical industry to initiate research into medications that can effectively alleviate period pain while minimizing harmful side effects. Current treatments often come with significant drawbacks, highlighting the need for safer and more effective alternatives. Addressing this research gap is vital for achieving menstrual equity, as it ensures that individuals suffering from menstrual pain have access to relief that does not jeopardize their overall health. Advancing research in this area will not only enhance the quality of life for menstruators but also contribute to a more equitable and inclusive approach to menstrual health care. Social implications The findings support reframing menstrual friendly labour policies including comprehensive sexual and reproductive health information to everyone, regardless of gender, to reduce misinformation and stigma associated with menstruation at workplaces. Additionally, the study proposes the introduction of reusable menstrual products like menstrual cups to overcome period poverty. Thus, ensuring access to these resources is crucial for enabling informed decision-making, promoting gender equality, addressing health disparities and fostering the development of menstrual-friendly workplace policies. Originality/value This study, by using a case study-based approach, has thoroughly examined the issues and challenges faced by female labourers in fields and factories. It uniquely identifies the inadequacies in menstrual management provisions for female workers in India and advocates for a human rights-based approach to ensure that menstruators can manage their menstrual health safely. Unlike most existing studies, which primarily focus on product usage and the stigma or myths surrounding menstruation, this study advances menstrual justice by calling for labour policy reforms and medical research to lessen menstrual pain without compromising menstruators’ health. These reforms aim to provide working women with adequate rest and necessary provisions during menstruation. Addressing these gaps is essential and has been largely overlooked in global health policies.

Differential Item Functioning and Clinical Utility of the Subjective Memory Complaints Questionnaire in a Multi-Ethnic Cohort

Introduction: This study evaluated the psychometric properties of the Subjective Memory Complaints Questionnaire (SMCQ) in a non-Hispanic White (NHW) and Mexican American (MA) sample from Texas in the USA. Methods: Data were obtained from the Health and Aging Brain Study – Health Disparities (HABS-HD; N = 1,691, age = 66.5 ± 8.7, education = 12.4 ± 4.8, 60.6% female, 33.2% MA Spanish speaking). Unidimensionality of the SMCQ was evaluated with confirmatory factor analysis. Differential item functioning (DIF) of the SMCQ was assessed across age, sex, education, and ethnicity/language using item response theory/logistic ordinal regression. Associations of the SMCQ in relation to cognitive status, Alzheimer’s disease (AD) blood-based biomarkers, and psychological distress were examined. Results: The SMCQ showed excellent fit in a single-factor model (CFI = 0.97, TLI = 0.97, RMSEA [95% CI] = 0.05 [0.04, 0.05], SRMR = 0.07). Significant item-level DIF was detected by education level and ethnicity/language, but not by age or sex; when detected, DIF was not salient (i.e., adverse). The SMCQ was associated with greater psychological distress, worse Clinical Dementia Rating scores, and greater disease burden as measured by total tau and neurofilament light. Conclusions: Practically negligible item-level bias was identified across education and ethnicity/language. Detected DIF can be described as benign, indicating that some items manifested differently between groups but had minimal impact on measurement properties. These results demonstrate that the SMCQ performs appropriately across demographic variables. Our findings also provide support for the associations of SMCQ scores with self-reported mood, cognitive status, and AD blood-based biomarkers.

ADHD in Black Youth: A Content Analysis of Empirical Research from 1972 to 2023.

The purpose of this content analysis study was to characterize patterns of research on Black youth with ADHD. Relevant articles were identified through searching psychology and medical databases and cross-referencing citations in previously published review articles. The 204 empirical articles included in this study (1) were conducted in the United States, (2) had a predominantly child or adolescent sample, (3) had more than 80% Black youth/families in the study sample and/or conducted separate analyses for Black youth/families, and (4) examined ADHD symptoms or diagnoses. Articles were categorized into five primary content areas: Assessment, Treatment, Perceptions, Prevalence, and Associated Correlates. Journal characteristics, sample characteristics, and methodological characteristics are presented across these content areas. Findings show a relatively low representation of Black youth with ADHD in the literature, with most studies using race comparative approaches and secondary data analyses, and many being published in medical journals. Based on these results, changes are recommended both at the individual study and broader systems levels (e.g., funding agencies). More research, funding, and publications centering Black youth with ADHD are vital to understanding and correcting long-standing health disparities for this community.