Comparison of the Vaginal and Labial Dimensions of Ethnic Chinese and Western Nullipara.

INTRODUCTION AND HYPOTHESIS: Vaginal dimensions have clinical and surgical implications. We sought to quantify the differences between vaginal and labial dimensions in healthy ethnic Chinese and Western women with normal pelvic organ support. METHODS: This is a cross-sectional study of a convenience sample of ethnic Chinese nulliparas (n = 33) and Western nulliparas (n = 33) recruited for research purposes. For each subject, magnetic resonance imaging was used to quantify the vaginal and labial dimensions. Specifically, we identified the anterior and posterior vaginal wall, the outline of the cervix in the mid-sagittal and coronal planes, and the distance from the labia majora to the hymenal ring at the urethral meatus. RESULTS: There were significant differences in age and weight between groups. Substantial variation in vaginal and labial dimensions was found within each group. The vaginal and labial dimensions of ethnic Chinese women ranged from 9-21% smaller than those of Western women; In the ethnic Chinese group, increasing weight and BMI correlated with greater labial distance (r = 0.66 and r = 0.63 respectively); as did height and the distance from the vaginal opening to the cervical os (r = 0.5). In the Western group, only weight correlated with the labial distance (r = 0.51). CONCLUSIONS: Significant group differences in vaginal and labial dimensions were found, with the dimensions of Chinese nulliparas being up to 21% smaller than those of Western nulliparas.

The Relation of Health Anxiety to Treatment Utilization Among Patients with Substance Use Disorders: The Moderating Role of Racial/Ethnic Background.

Background: Although health anxiety is broadly related to the overutilization of healthcare, limited research has examined this relation among individuals with substance use disorders (SUDs), or the extent to which racial/ethnic differences influence this relationship. Objectives: The purpose of the current study is to examine the moderating role of racial/ethnic minoritized background in the relationship between health anxiety and treatment utilization among individuals with SUDs. In the present study, patients with SUDs receiving residential treatment in Mississippi (N=118; 62% racial/ethnic minoritized status, 35.6% White) completed a measure of health anxiety and answered questions about past mental health, physical health, and substance use treatment. Regression models examined whether racial/ethnic minoritized status (White vs. racial/ethnic minoritized status) moderated the relation of health anxiety to treatment utilization among patients with SUDs. Treatment utilization was examined by asking whether participants had seen a doctor or mental health provider, engaged in substance use treatment, or alcohol treatment prior to their current treatment (dichotomous), as well as the number of times they had engaged in each treatment (physical health, mental health, substance use, and alcohol treatment) in the past year (continuous). Results: Results revealed that the facets of health anxiety involving concerns about pain and disease phobia were positively associated with treatment utilization, but only among racial/ethnic minoritized participants, with concerns about pain positively associated with self-reported physical health treatment utilization (OR=0.70, 95% CI=0.50; 0.97) and disease phobia positively associated with past mental health (B = 0.36, p = 0.023) and alcohol use treatment (B=-0.23, p=.009). Conversely, disease phobia was related to less prior alcohol use treatment among White participants (B=-0.23, p=.009). Conclusions: Overall, among patients in residential treatment for SUDs, racial/ethnic minoritized participants with SUDs reported more health anxiety compared to white participants, and certain facets of health anxiety (i.e., concerns about pain and worry about severe illness) were linked to heightened treatment utilization among racial/ethnic minoritized individuals.

Racial Differences in Nicotine Reduction: Pooled Results from Two Double-Blind Randomized Controlled Trials.

INTRODUCTION: Tobacco regulatory policies are generally intended to apply to all segments of the population and to be equitable. Results from clinical trials on switching from commercial cigarettes to reduced nicotine cigarettes have included black populations but race-specific findings are not widely reported. METHODS: Data were pooled from two parallel randomized controlled trials of gradually reduced nicotine in cigarettes from 11.6 mg per cigarette down to 0.2 mg nicotine (very low nicotine content; VLNC) vs. usual nicotine content (UNC) cigarettes (11.6 mg) over an 18-week period in smokers with low socioeconomic status (SES) and mental health conditions, respectively. We used linear regression to determine the potential effects of cigarettes and biomarker reductions (blood cotinine and exhaled carbon monoxide) when using VLNC study cigarettes. An intention-to-treat (ITT) analysis included all randomized participants regardless of adherence to the protocol. A secondary compliance analysis compared control subjects (11.6 mg cigarettes) only to those switched to low nicotine cigarettes who were biochemically determined to be compliant to exclusively using VLNC cigarettes. RESULTS: Both Black and White VLNC smokers had significantly lower plasma cotinine and exhaled carbon monoxide compared to those randomized to UNC cigarettes. The treatment × race interaction term was not significant for the outcome measures in both the ITT and secondary compliance analyses, except for cotinine in the ITT analysis (Whites: - 190 ng/mL vs. Blacks: - 118 ng/mL; p = 0.05). CONCLUSIONS: A reduced nicotine regulation for cigarettes would result in substantial reduction in exposure to nicotine and toxicants in Black and White smokers.

Rates and psychological stress predictors of problematic internet use (PIU) during the COVID-19 pandemic in a racially diverse sample of young adults.

BACKGROUND: Problematic internet use (PIU), which includes social media misuse (SMM) and gaming misuse (GM), is uncontrollable and associated with significant psychological impairment. PIU is a coping behavior for COVID-19-related stress. We explored distress-related predictors of PIU in a young adult racially diverse sample during the pandemic. METHODS: Analyses used cross-sectional survey data (N = 1956). Psychological diagnoses, financial distress, COVID-19-related emotions, psychological distress, distress tolerance, social support, loneliness, SMM and GM were measured. Hierarchical multiple regressions identified predictors of PIU. Race-stratified exploratory analyses sought to understand if predictors held true across racial groups. RESULTS: Low distress tolerance was associated with SMM and GM, as were depression symptoms, with racial differences observed. SMM was associated with younger age, and GM was associated with male gender. PTSD symptoms predicted more GM. SMM and GM rates varied between racial groups. COVID-19-related adjustment challenges and stress predicted SMM and GM respectively, with racial differences observed. CONCLUSION: Individual psychological distress and low distress tolerance markedly increased PIU risk. Clinicians should screen for stress-related PIU risk factors and bolster distress tolerance in vulnerable patients. Comparing PIU to different forms of coping in a larger sample would further clarify groups differences in stress coping behaviors.

Insulin sensitivity and skeletal muscle mitochondrial respiration in Black and White women with obesity.

OBJECTIVES: Non-Hispanic black women (BW) have a greater risk of type 2 diabetes (T2D) and insulin resistance (IR) compared to non-Hispanic white women (WW). The mechanisms leading to these differences are not understood, and it is unclear whether synergistic effects of race and obesity impact disease risk. To understand the interaction of race and weight, hepatic and peripheral IR were compared in WW and BW with and without obesity. METHODS: Hepatic and peripheral IR was measured by a labeled, hyperinsulinemic-euglycemic clamp in BW (n=32) and WW (n=32) with and without obesity. Measurements of body composition, cardiorespiratory fitness, and skeletal muscle (SM) respiration were completed. Data were analyzed by mixed model ANOVA. RESULTS: Subjects with obesity had greater hepatic and peripheral IR and lower SM respiration (P<0.001). Despite 14% greater insulin (P=0.066), BW tended to have lower peripheral glucose disposal (Rd; P=0.062), which was driven by women without obesity (P=0.002). BW had significantly lower glucose production (P=0.005), hepatic IR (P=0.024), and maximal coupled and uncoupled respiration (P<0.001) than WW. Maximal coupled and uncoupled SM mitochondrial respiration was strongly correlated with peripheral and hepatic IR (P<0.01). CONCLUSION: While BW without obesity had lower Rd than WW, race and obesity did not synergistically impact peripheral IR. Paradoxically, WW with obesity had greater hepatic IR compared to BW. Relationships between SM respiration and IR persisted across a range of body weight. These data provide support for therapies in BW, like exercise, that improve SM mitochondrial respiration to reduce IR and T2D risk.

Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods.

BACKGROUND: Lung disease is a severe problem in the United States. Despite the decreasing rates of cigarette smoking, chronic obstructive pulmonary disease (COPD) continues to be a health burden in the United States. In this paper, we focus on COPD in the United States from 2016 to 2019. OBJECTIVE: We gathered a diverse set of non-personally identifiable information from public data sources to better understand and predict COPD rates at the core-based statistical area (CBSA) level in the United States. Our objective was to compare linear models with machine learning models to obtain the most accurate and interpretable model of COPD. METHODS: We integrated non-personally identifiable information from multiple Centers for Disease Control and Prevention sources and used them to analyze COPD with different types of methods. We included cigarette smoking, a well-known contributing factor, and race/ethnicity because health disparities among different races and ethnicities in the United States are also well known. The models also included the air quality index, education, employment, and economic variables. We fitted models with both multiple linear regression and machine learning methods. RESULTS: The most accurate multiple linear regression model has variance explained of 81.1%, mean absolute error of 0.591, and symmetric mean absolute percentage error of 9.666. The most accurate machine learning model has variance explained of 85.7%, mean absolute error of 0.456, and symmetric mean absolute percentage error of 6.956. Overall, cigarette smoking and household income are the strongest predictor variables. Moderately strong predictors include education level and unemployment level, as well as American Indian or Alaska Native, Black, and Hispanic population percentages, all measured at the CBSA level. CONCLUSIONS: This research highlights the importance of using diverse data sources as well as multiple methods to understand and predict COPD. The most accurate model was a gradient boosted tree, which captured nonlinearities in a model whose accuracy is superior to the best multiple linear regression. Our interpretable models suggest ways that individual predictor variables can be used in tailored interventions aimed at decreasing COPD rates in specific demographic and ethnographic communities. Gaps in understanding the health impacts of poor air quality, particularly in relation to climate change, suggest a need for further research to design interventions and improve public health.

Temporal Trends in Race and Sex Differences in Cardiac Arrest Mortality in the USA, 1999-2020.

BACKGROUND: Cardiac arrest (CA) affects over 600,000 patients in the USA annually. Despite large-scale public health and educational initiatives, survival rates are lower in certain racial and socioeconomic groups. METHODS: A county-level cross-sectional longitudinal study using death data of patients aged 15 years or more from the US Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (WONDER) database from 1999 to 2020. CAs were identified using the International Classification of Diseases, tenth revision, clinical modification codes. RESULTS: The CA-related deaths between 1999 and 2020 were 7,710,211 in the entire USA. The annual CA related age-adjusted mortality rates (CA-MR) declined through 2019 (132.9 to 89.7 per 100,000 residents), followed by an increase in 2020 (104.5 per 100,000). White patients constituted 82 % of all deaths and 51 % were female. The overall CA-MR during the study period was 104.48 per 100,000 persons. The CA-MR was higher for men as compared with women (123.5 vs. 89.7 per 100,000) and higher for Black as compared with White adults (154.4 vs. 99.1 per 100,000). CONCLUSIONS: CA-MR in the overall population has declined, followed by an increase in 2020, which is likely the impact of the COVID-19 pandemic. There were also significant racial and sex differences in mortality rates.

Racial Differences in Non-variceal Upper Gastrointestinal (GI) Bleeding: A Nationwide Study.

Background and aims Knowledge about the impact of race on non-variceal upper GI bleeding (NVUGIB) is limited. This study explored the racial differences in the etiology and outcome of NVUGIB. Methods We conducted a study from 2009 to 2014 using the Nationwide Inpatient Sample (NIS) database. NIS is the largest publicly available all-payer inpatient database in the USA with more than seven million hospital stays each year. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for NVUGIB, esophagogastroduodenoscopy (EGD) and demographics were obtained. The outcomes of interest were in-hospital mortality, hospital length of stay (HLOS), total hospital charges, admission to the intensive care unit (ICU), and patient disposition. Analysis was conducted using Chi-square tests and Tukey multiple comparisons between groups. Results Among 1,082,516 patients with NVUGIB, African American and Native Americans had the highest proportions of hemorrhagic gastritis/duodenitis (8.2% and 4.2%, respectively) and Mallory-Weiss bleeding (10.4% and 5.4%, respectively; p<0.01). African Americans were less likely to get an EGD done within 24 hours of admission compared to Whites and Latinxs (45.9% vs 50.1% and 50.4%, respectively; p<0.001). In-hospital mortality was similar among African Americans, Latinxs, and Whites (5.8% vs 5.6% vs 5.9%, respectively; p=0.175). Asian/Pacific Islanders and African Americans were more likely to be admitted to the ICU (9.6% and 9.0%, respectively; p<0.001). Moreover, African Americans had a longer HLOS compared to Latinxs and Whites (7.5 vs 6.5 and 6.4 days, respectively; p<0.001). Conversely, Asian/Pacific Islanders and Latinx incurred the highest hospital total charges compared to African Americans and Whites ($81,821 and $69,267 vs $61,484 and $53,767, respectively; p<0.001). Conclusion African Americans are less likely to receive EGD within 24 hours of admission and are more likely to be admitted to the ICU with prolonged hospital lengths of stay. Latinxs are more likely to be uninsured and incur the highest hospital costs.

Access to treatment before and after Medicare coverage of opioid treatment programs.

Since January 2020, Medicare has covered opioid use disorder (OUD) treatment services at opioid treatment programs (OTPs), the only outpatient settings allowed to dispense methadone for treating OUD. This study examined policy-associated changes in Medicare acceptance and the availability of four OUD treatment services (ongoing buprenorphine, HIV/AIDS education, employment services, and comprehensive mental health assessment), by for-profit status, and county-level changes in Medicare-accepting-OTPs access, by sociodemographic characteristics (racial composition, poverty rate, and rurality). Using data from the 2019-2022 National Directory of Drug and Alcohol Abuse Treatment Facilities, we found Medicare acceptance increased from 21.31% in 2018 to 80.76% in 2021. The availability of the four treatment services increased, but no increases were significantly associated with Medicare coverage. While county-level OTP access significantly improved, counties with higher rates of non-White residents experienced an additional average increase of 0.86 Medicare-accepting-OTPs (95% CI, 0.05-1.67) compared to those without higher rates of non-White populations. Overall, Medicare coverage was associated with improved OTP access, not ancillary services.

Why do Stayers Stay? Perceptions of White and Black Long-Term Employees in a Community Mental Health Center.

Previous research has focused on factors influencing turnover of employees in the mental health workforce, yet little research has explored reasons why employees stay. To facilitate retaining a diverse mental health workforce, the current study aimed to elucidate factors that contributed to employees' tenure at a community mental health center (CHMC) as well as compare these perceptions between Black and White employees. Long-term employees (7 years or more) from one urban CMHC (n = 22) completed semi-structured stayer interviews. Using emergent thematic analysis, stayer interviews revealed four major themes for why they have stayed at the organization for 7 years or more: (1) work as a calling, (2) supportive relationships, (3) opportunities for growth or meaningful contribution, and (4) organization mission's alignment with personal attributes or values. Comparison between Black and White stayer narratives revealed differences in their perceptions with work as a calling and opportunities for growth and meaningful contribution. Guided by themes derived from stayer interviews, the current study discusses theoretical (e.g., job embeddedness theory, theory of racialized organizations, self-determination theory) and practical implications (e.g., supporting job autonomy, Black voices in leadership) in an effort to improve employee retention and address structural racism within a mental health organization.

Understanding Natural Supports in Diverse Adults With Intellectual and Developmental Disabilities Across Life Domains.

Although natural supports benefit individuals with intellectual and developmental disabilities (IDD), little is known about natural support provided within specific life domains or how race/ethnicity or support from professionals impacts the extent of natural support one receives. In this study, 518 parents of adults with IDD responded to a national survey about natural supports, including who provides support, the number of supporters, and variables that predict natural supports. Family most often provided support, although professionals and family friends were frequent supporters in several domains. Natural support was most extensive in health, least extensive in employment and housing. Individuals with IDD who regularly participated in daytime activities and/or identified as Black had more extensive natural support. Implications are discussed.

Differences in metabolomic profiles between Black and White women in the U.S.: Analyses from two prospective cohorts.

There is growing interest in incorporating metabolomics into public health practice. However, Black women are under-represented in many metabolomics studies. If metabolomic profiles differ between Black and White women, this under-representation may exacerbate existing Black-White health disparities. We therefore aimed to estimate metabolomic differences between Black and White women in the U.S. We leveraged data from two prospective cohorts: the Nurses' Health Study (NHS; n = 2077) and Women's Health Initiative (WHI; n = 2128). The WHI served as the replication cohort. Plasma metabolites (n = 334) were measured via liquid chromatography-tandem mass spectrometry. Observed metabolomic differences were estimated using linear regression and metabolite set enrichment analyses. Residual metabolomic differences in a hypothetical population in which the distributions of 14 risk factors were equalized across racial groups were estimated using inverse odds ratio weighting. In the NHS, Black-White differences were observed for most metabolites (75 metabolites with observed differences ≥ |0.50| standard deviations). Black women had lower average levels than White women for most metabolites (e.g., for N6, N6-dimethlylysine, mean Black-White difference = - 0.98 standard deviations; 95% CI: - 1.11, - 0.84). In metabolite set enrichment analyses, Black women had lower levels of triglycerides, phosphatidylcholines, lysophosphatidylethanolamines, phosphatidylethanolamines, and organoheterocyclic compounds, but higher levels of phosphatidylethanolamine plasmalogens, phosphatidylcholine plasmalogens, cholesteryl esters, and carnitines. In a hypothetical population in which distributions of 14 risk factors were equalized, Black-White metabolomic differences persisted. Most results replicated in the WHI (88% of 272 metabolites available for replication). Substantial differences in metabolomic profiles exist between Black and White women. Future studies should prioritize racial representation.

Racial Differences in Diagnostic Accuracy of Retinal Nerve Fiber Layer Thickness in Primary Open-Angle Glaucoma.

Purpose: To evaluate the diagnostic accuracy of retinal nerve fiber layer thickness (RNFLT) by spectral-domain optical coherence tomography (OCT) in primary open-angle glaucoma (POAG) in eyes of African (AD) and European descent (ED). Design: Comparative diagnostic accuracy analysis by race. Participants: 379 healthy eyes (125 AD and 254 ED) and 442 glaucomatous eyes (226 AD and 216 ED) from the Diagnostic Innovations in Glaucoma Study and the African Descent and Glaucoma Evaluation Study. Methods: Spectralis (Heidelberg Engineering GmbH) and Cirrus (Carl Zeiss Meditec) OCT scans were taken within one year from each other. Main Outcome Measures: Diagnostic accuracy of RNFLT measurements. Results: Diagnostic accuracy for Spectralis-RNFLT was significantly lower in eyes of AD compared to those of ED (area under the receiver operating curve [AUROC]: 0.85 and 0.91, respectively, P=0.04). Results for Cirrus-RNFLT were similar but did not reach statistical significance (AUROC: 0.86 and 0.90 in AD and ED, respectively, P =0.33). Adjustments for age, central corneal thickness, axial length, disc area, visual field mean deviation, and intraocular pressure yielded similar results. Conclusions: OCT-RNFLT has lower diagnostic accuracy in eyes of AD compared to those of ED. This finding was generally robust across two OCT instruments and remained after adjustment for many potential confounders. Further studies are needed to explore the potential sources of this difference.

Unveiling disparities: examining differential item functioning's impact on racial health equity among white and black populations.

OBJECTIVES: This paper aims to examine the psychometric properties of social capital indicators, comparing Black and White respondents to identify the extent of measurement invariance in social capital by race. STUDY DESIGN: We used data from the longitudinal study Midlife in the United States (MIDUS), waves 1 through 3 (1995-2016). METHODS: Data were from 6513 respondents (5604 White and 909 Black respondents). Social capital indicators were social cohesion, contributions to community, and community involvement. We used Structural Equation Modeling and Item Response Theory methods to test for measurement invariance in social capital by race. RESULTS: We observed violations of longitudinal and multi-group measurement invariance (MI) at configural and metric levels on two scales. Factor structures and indicator loadings were inconsistent over time. In IRT analysis, 'Many people come for advice' exhibited Differential Item Functioning (DIF), indicating a consistent advantage for White respondents on the contributions to community scale. Despite similar social capital levels (P(χ2,2) = 0.00), DIF was found in all contributions to community items and some community involvement items when examining race and education interaction. CONCLUSIONS: Invariance issues in social capital items suggest potential biases in comparing Black and White respondents. Recognizing these biases is essential. Future social capital research should assess existing data assumptions and involve stakeholders from diverse communities in creating new items.

Perceptions of family functioning impact smoking during pregnancy.

BACKGROUND: Although socio-environmental factors are known to contribute to the maintenance of smoking behavior, few studies have examined the impact of family functioning on smoking during pregnancy. OBJECTIVE: The current study examined the relationship between perceptions of family functioning and smoking during pregnancy. METHODS: Pregnant women (N = 345, 59% ethnic/racial minority) completed the Family Assessment Device, a gold-standard assessment examining perceptions of family functioning in seven domains. Multinomial logistic regressions analyzed associations between clinically determined suboptimal levels of family functioning by domain and smoking status during pregnancy (smoking, ≥28 continuous days quit, nonsmoking), with stratified analyses exploring ethnic/racial differences (non-Hispanic/White vs. racial/ethnic minority). RESULTS: Participants who reported suboptimal levels of family functioning in domains of Affective Involvement, Affective Responsiveness, Behavioral Control, and Roles were significantly more likely to have been smoking than nonsmoking during pregnancy. Stratified analyses revealed differing effects by ethnic/racial identity, with perceptions of Roles remaining the only significant effect on smoking outcomes for both groups. No significant effects were found regarding the impact of family functioning on whether participants were smoking vs. quit during pregnancy. CONCLUSIONS: Suboptimal family functioning may contribute to smoking during pregnancy, but effects may differ based on domain of family functioning and by ethnic/racial identity.

Impact of Social Vulnerability on Cardiac Arrest Mortality in the United States, 2016 to 2020.

BACKGROUND: Cardiac arrest is 1 of the leading causes of morbidity and mortality, with an estimated 340 000 out-of-hospital and 292 000 in-hospital cardiac arrest events per year in the United States. Survival rates are lower in certain racial and socioeconomic groups. METHODS AND RESULTS: We performed a county-level cross-sectional longitudinal study using the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple causes of death data set between 2016 and 2020 among individuals of all ages whose death was attributed to cardiac arrest. The Social Vulnerability Index is a composite measure that includes socioeconomic vulnerability, household composition, disability, individuals from racial and ethnic minority groups status and language, and housing and transportation domains. We examined the impact of social determinants on cardiac arrest mortality stratified by age, race, ethnicity, and sex in the United States. All age-adjusted mortality rate (cardiac arrest AAMRs) are reported as per 100 000. Overall cardiac arrest AAMR during the study period was 95.6. The cardiac arrest AAMR was higher for men compared with women (119.6 versus 89.9) and for the Black population compared with the White population (150.4 versus 92.3). The cardiac arrest AAMR increased from 64.8 in counties in quintile 1 of Social Vulnerability Index to 141 in quintile 5, with an average increase of 13% (95% CI, 9.8%-16.9%) in AAMR per quintile increase. CONCLUSIONS: Mortality from cardiac arrest varies widely, with a >2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the United States based on social determinants of health.

Cardiovascular Health, Race, and Decline in Cognitive Function in Midlife Women: The Study of Women's Health Across the Nation.

BACKGROUND: Cognitive decline may progress for decades before dementia onset. Better cardiovascular health (CVH) has been related to less cognitive decline, but it is unclear whether this begins early, for all racial subgroups, and all domains of cognitive function. The purpose of this study was to determine the impact of CVH on decline in the 2 domains of cognition that decline first in White and Black women at midlife. METHODS AND RESULTS: Subjects were 363 Black and 402 White women, similar in baseline age (mean±SD, 46.6±3.0 years) and education (15.7±2.0 years), from the Chicago site of the Study of Women's Health Across the Nation. Cognition, measured as processing speed and working memory, was assessed annually or biennially over a maximum of 20 years (mean±SD, 9.8±6.7 years). CVH was measured as Life's Essential 8 (blood pressure, body mass index, glucose, non-high-density lipoprotein cholesterol, smoking, physical activity, diet, sleep). Hierarchical linear mixed models identified predictors of cognitive decline with progressive levels of adjustment. There was a decline in processing speed that was explained by race, age, and the 3-way interaction of race, CVH, and time (F1,4308=8.8, P=0.003). CVH was unrelated to decline in White women but in Black women poorer CVH was associated with greater decline. Working memory did not decline in the total cohort, by race, or by CVH. CONCLUSIONS: In midlife Black women, CVH promotion may be a target for preventing the beginnings of cognitive decline, thereby enhancing independent living with aging.

Impact of sex, race, and social determinants of health on neonatal outcomes.

Despite the global improvements in neonatal outcomes, mortality and morbidity rates among preterm infants are still unacceptably high. Therefore, it is crucial to thoroughly analyze the factors that affect these outcomes, including sex, race, and social determinants of health. By comprehending the influence of these factors, we can work towards reducing their impact and enhancing the quality of neonatal care. This review will summarize the available evidence on sex differences, racial differences, and social determinants of health related to neonates. This review will discuss sex differences in neonatal outcomes in part I and racial differences with social determinants of health in part II. Research has shown that sex differences begin to manifest in the early part of the pregnancy. Hence, we will explore this topic under two main categories: (1) Antenatal and (2) Postnatal sex differences. We will also discuss long-term outcome differences wherever the evidence is available. Multiple factors determine health outcomes during pregnancy and the newborn period. Apart from the genetic, biological, and sex-based differences that influence fetal and neonatal outcomes, racial and social factors influence the health and well-being of developing humans. Race categorizes humans based on shared physical or social qualities into groups generally considered distinct within a given society. Social determinants of health (SDOH) are the non-medical factors that influence health outcomes. These factors can include a person's living conditions, access to healthy food, education, employment status, income level, and social support. Understanding these factors is essential in developing strategies to improve overall health outcomes in communities.