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Importance: The lack of inclusion of diverse population samples in food allergy immunotherapy clinical trials not only leads to decreased applicability to the general population in terms of results and treatments but can also be seen as a broader social injustice contributing to inequity within the health care system. Objectives: To investigate the racial and ethnic distribution of participants included in food allergy immunotherapy clinical trials, and determine whether the racial and ethnic representation in trials accurately reflects the patients who experience food allergy. Evidence Review: Data were collected from articles found on PubMed and ClinicalTrials.gov using key terms of food hypersensitivity, food allergy, and immunotherapy, while also incorporating specific criteria such as clinical trials conducted within the last 5 years with children aged from birth to 18 years old. Articles were selected based on their relevance to the research question. Main outcomes were totals and percentages of trial participants by race and ethnicity, stratified by pediatric trials, site of study, and National Institutes of Health funding. Findings: Thirty-five articles were initially identified, of which 34 were classified as human clinical trials. Of these trials, 26 met criteria of an original randomized clinical trial and included racial and ethnic demographics for analysis in the study. Among trials included, the majority of the 3689 participants identified as White (2640 participants [72.0%]), followed by Black or African American (293 participants [8.0%]), Asian (239 participants [6.0%]), multiple races or other (210 participants [6.0%]), Hispanic or Latino (96 participants [3.0%]), American Indian (3 participants [<1.0%]), and Native American or Pacific Islander (3 participants [<1.0%]). We observed differences in racial and ethnic inclusion by study site (US vs external to US) and funding support (National Institutes of Health vs industry or other non-National Institutes of Health sources). Conclusions and Relevance: In this systematic review of racial and ethnic diversity in food allergy immunotherapy trials, there was a lack of diversity relative to the overall food allergy burden among Black and Hispanic patients, indicating important gaps in the conduct of pediatric clinical trials, especially for treatments that are meant for use in broad populations where significant race- and ethnicity-related disparities exist. Working to correct this disparity will not only increase the usefulness of future clinical trial data but can further assist in alleviating public health inequities.

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Importance: Without knowledge of the degree of misattribution in racial and ethnic designations in data, studies run the risk of missing existing inequities and disparities and identifying others that do not exist. Further, accuracy of racial and ethnic designations is important to clinical care improvement efforts and health outcomes. Objective: To determine the error rate of racial and ethnic attribution in the electronic medical records (EMRs) across the 3 largest pediatric health systems in Michigan. Design, Setting, and Participants: This cross-sectional study collected race and ethnicity data from parents in outpatient clinics, emergency departments, and inpatient units at the 3 largest pediatric health systems in Michigan. A total of 1594 parents or guardians participated at health system A, 1537 at health system B, and 1202 at health system C from September 1, 2023, to January 31, 2024. Parent or guardian report of race and ethnicity for a child was used as the gold standard for comparison with the designation in the EMR. Exposure: Race and ethnicity designations in the EMR. Options for race designation across the health systems ranged from 6 to 49; options for ethnicity, from 2 to 10. Main Outcomes and Measures: Matching occurred in 3 stages. First, the exact racial and ethnic designations made by parents for their child were compared with what was found in the EMR. Second, for any child whose parent selected more than 1 racial category or for whom more than 1 appeared in the EMR, the designation of a minoritized racial group was used for matching purposes. Third, starting with the product of stage 2, racial designations were combined or collapsed into 6 (health systems A and C) or 5 (health system B) designations. Results: A total of 4333 survey responses were included in the analysis. The greatest error rate across the health systems occurred with the exact match of parental report of racial designation with the EMR, which ranged from 41% to 78% across the health systems. Improvement in the matching rate for each health system occurred with consolidation of race options provided. Differences between the health systems narrowed at the final consolidation to varying from 79% to 88% matching. Ethnicity matching between the EMR and the parental report ranged from 65% to 95% across the health systems. Missing race or ethnicity data in the EMR was counted as a nonmatch. Rates of missing racial data varied across the health systems from 2% to 10%. The health system with the greatest number of options for race and ethnicity had the highest error rates. Conclusions and Relevance: Although there will always be some misattribution of race and ethnicity in the EMR, the results of this cross-sectional study suggest that significant error in these data may undermine strategies to improve care. It is unclear whether those in an organization who determine the number of potential categories are the same persons who use those data to investigate potential disparities and inequities.

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This study uses secondary data analysis to assess the relationship between social isolation (SI) and population density in the US, as well as any moderating influence that race/ethnicity may have on that relationship. A recent consensus on the measure of SI is that it focuses on the objective absence of social connections, whereas loneliness refers to subjective assessments of one's social connections. Therefore, while the original study measured both objective and subjective SI may be innovative, it may also be overly ambitious. SI puts older people at risk for health problems, including an increased chance of dying. The AARP Foundation gathered the initial convenience sample, which included 8149 senior citizens. The study determined population density using self-reported zip codes, measured as persons per square mile, and divided the results into tertiles. Linear mixed models were used to investigate the moderating role of race/ethnicity between population density and SI. The findings revealed that greater population density was associated with less SI for individuals residing in zip codes with a higher percentage of the same race/ethnicity, but more SI for those in zip codes with a lower percentage of the same race/ethnicity. These results suggest that race/ethnicity should be considered in future studies or when developing policies and interventions to address SI among older adults in high-population-density areas. For example, when policymakers aim to address SI in a community, they may want to collect data based on zip codes and create targeted interventions for specific racial/ethnic groups within those zip code areas.

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Importance: In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth. Objective: To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts. Design, Setting, and Participants: In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024. Exposure: Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent. Main Outcomes and Measures: Live birth before 37 completed weeks' gestation. Results: The analytic dataset included 267 553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23). Conclusions and Relevance: In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.

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OBJECTIVE: To analyze the incompleteness and trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death, in Brazil, between April 2020 and April 2022. METHODS: Ecological time series study on the incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, its macro-regions and Federative Units (FU), by joinpoint regression, calculation of Monthly Percent Change (MPC) and Average Monthly Percent Change (AMPC), based on data from the Hospital Information System of the Unified Health System (SIH/SUS). RESULTS: The incompleteness of the race/color variable in COVID-19 hospitalizations with a death outcome in Brazil was 25.85%, considered poor. All regions of the country had a poor degree of incompleteness, except for the South, which was considered regular. In the period analyzed, the joinpoint analysis revealed a stable trend in the incompleteness of the race/color variable in Brazil (AMPC = 0.54; 95%CI: -0.64 to 1.74; p = 0.37) and in the Southeast (AMPC = -0.61; 95%CI: -3.36 to 2.22; p = 0.67) and North (AMPC = 3.74; 95%CI: -0.14 to 7.78; p = 0.06) regions. The South (AMPC = 5.49; 95%CI: 2.94 to 8.11; p = 0.00002) and Northeast (AMP = 2.50; 95%CI: 0.77 to 4.25; p = 0.005) regions showed an increase in the incompleteness trend, while the Midwest (AMPC = -2.91 ; 95%CI: -5.26 to -0.51; p = 0.02) showed a downward trend. CONCLUSION: The proportion of poor completeness and the stable trend of incompleteness show that there was no improvement in the quality of filling in the race/color variable during the COVID-19 pandemic in Brazil, a fact that may have increased health inequalities for the black population and made it difficult to plan strategic actions for this population, considering the pandemic context. The results found reinforce the need to encourage discussion on the subject, given that the incompleteness of health information systems increases inequalities in access to health services and compromises the quality of health data.

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BACKGROUND: There are known disparities in U.S. COVID-19 vaccination but there is limited information on national vaccine uptake in a large, racially diverse, all-age population. Here, we describe COVID-19 vaccination coverage in a large U.S. population accessing care in OCHIN (not an acronym), a national network of community-based healthcare organizations. METHODS: Within OCHIN, we identified patients aged 6 months and older with ≥1 completed clinical encounter since becoming age-eligible for the COVID-19 vaccine between December 13, 2020 and December 31, 2022. Patients' COVID-19 vaccination status was assessed from OCHIN's Epic® electronic health record which includes data from state immunization information systems. Patients were considered vaccinated if they received ≥1 dose of a monovalent vaccine product; coverage was categorized by age groups (6 months-4 years; 5-11 years, 12-15 years, 16+ years). Multivariate analyses assessed factors associated with COVID-19 vaccination across age groups. RESULTS: The cohort included 3.3 million Hispanic (37 %), non-Hispanic (NH) White (31 %), NH Black (15 %), and NH Asian (7 %) patients; 45 % of whom were Medicaid-enrolled, 19 % uninsured, and 53 % with a household income below 100 % of the federal poverty level. The proportion with ≥1 COVID-19 vaccine dose increased with age, from 11.7 % (6 months through 4 years) to 72.3 % (65 years and older). The only factors associated with significantly higher COVID-19 vaccine coverage across age groups were prior receipt of an influenza vaccine and having private insurance. In adjusted modeling, when compared to NH whites, COVID-19 vaccine coverage was significantly higher among Hispanic, NH Asian, and NH multiple-race patients aged ≥5 years and significantly lower among NH Black and NH Native Hawaiian/Other Pacific Islander patients aged 6 months-4 years old. CONCLUSIONS: We identified disparities in primary series COVID-19 vaccine coverage by age, race and ethnicity, household income, insurance status, and prior influenza vaccination within this large, diverse population accessing care in community-based healthcare organizations.

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Importance: Despite significant progress made toward tuberculosis (TB) elimination, racial and ethnic disparities persist in TB incidence and case-fatality rates in the US. Objective: To estimate the health outcomes and economic cost of TB disparities among US-born persons from 2023 to 2035. Design, Setting, and Participants: Generalized additive regression models projecting trends in TB incidence and case-fatality rates from 2023 to 2035 were fit based on national TB surveillance data for 2010 to 2019 in the 50 US states and the District of Columbia among US-born persons. This baseline scenario was compared with alternative scenarios in which racial and ethnic disparities in age- and sex-adjusted incidence and case-fatality rates were eliminated by setting rates for each race and ethnicity to goal values. Additional scenarios were created examining the potential outcomes of delayed reduction of racial and ethnic disparities. The potential benefits of eliminating disparities from differences between baseline and alternative scenario outcomes were quantified. Data were analyzed from January 2010 to December 2019. Exposures: Non-Hispanic American Indian or Alaska Native, non-Hispanic Asian, non-Hispanic Black, Hispanic, non-Hispanic Native Hawaiian or Other Pacific Islander, or non-Hispanic White race and ethnicity. Main outcomes and measures: TB cases and deaths averted, quality-adjusted life years gained, and associated costs from a societal perspective. Results: The study included 31 811 persons with reported TB from 2010 to 2019 (mean [SD] age, 47 [24] years; 20 504 [64%] male; 1179 [4%] American Indian or Alaska Native persons; 1332 [4%] Asian persons; 12 152 [38%] Black persons; 6595 [21%] Hispanic persons; 299 [1%] Native Hawaiian or Other Pacific Islander persons; and 10 254 [32%] White persons). There were 3722 persons with a reported TB death. Persistent racial and ethnic disparities were associated with an estimated 11 901 of 26 203 TB cases among US-born persons (45%; 95% uncertainty interval [UI], 44%-47%), 1421 of 3264 TB deaths among US-born persons (44%; 95% UI, 39%-48%), and an economic cost of $914 (95% UI, $675-$1147) million from 2023 to 2035. Delayed goal attainment reduced the estimated avertable TB outcomes by 505 (95% UI, 495-518) TB cases, 55 (95% UI, 51-59) TB deaths, and $32 (95% UI, $24-$40) million in societal costs annually. Conclusions and relevance: In this modeling study of racial and ethnic disparities of TB, these disparities were associated with substantial future health and economic outcomes of TB among US-born persons without interventions beyond current efforts. Actions to eliminate disparities may reduce the excess TB burden among these persons and may contribute to accelerating TB elimination within the US.

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OBJECTIVE: To investigate inequalities related to race/ethnicity and socioeconomic status in self-reported positive diagnosis for COVID-19 in Brazilian adults. METHODS: Data available from the National Household Sample Survey COVID-19 (PNAD COVID 19) (July/September/November, 2020) were used in this retrospective investigation. The analyses considered the sampling design, primary sampling units, strata and sample weights. Poisson regression with robust variance was used to estimate prevalence ratio (PR) and the 95% confidence interval (95%CI) of the associations. RESULTS: In July, September and November 2020, with regard to the rapid test, indigenous people were 2.45 (95%CI 1.48-4.08), 2.53 (95%CI 1.74-4.41) and 1.23 (95%CI 1.11-1.86) times more likely to report a positive history of SARS-CoV-2 infection, respectively. With regard to the RT-PCR test in November, indigenous people were more likely to test positive for COVID-19 (PR: 1.90; 95%CI 1.07-3.38). It was observed that the indigenous group was 1.86 (95%CI 1.05-3.29) and 2.11 (95%CI 1.12-3.59) times more likely to test positive for COVID-19 in September and November (2020). Income was associated with testing positive for COVID-19: in November, individuals whose income ranged from R$0.00-R$1.044 were more likely (PR: 1.69; 95%CI 1.16-23.06) to test positive using the RT-PCR test; participants whose income was in this range were also more likely to be diagnosed with COVID-19 using blood tests (PR: 1.72; 95%CI 1.43-2.07). CONCLUSION: The data presented show an association between race/ethnicity and economic status with a positive diagnosis of COVID-19.

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OBJECTIVE: Considerable disparities exist in access to gastrointestinal (GI) care and digestive outcomes across gender, racial, and socioeconomic groups. We evaluated (1) whether adults with chronic GI symptoms from diverse demographic groups would use a digital digestive care programme and (2) the effects of participation on GI symptom severity and other patient-reported outcomes. METHODS: Access to a digital digestive chronic care programme was provided to participants regardless of prior digestive diagnoses or symptoms for 90 days. The intervention included GI symptom tracking, personalised medical nutrition therapy, GI-specific health coaching, and targeted education on common GI symptoms. We assigned a Social Vulnerability Index (SVI) score to each participant according to their home address and compared baseline and end-intervention symptoms and other patient-reported outcomes by gender, race/ethnicity, and SVI. RESULTS: Of the 1936 participants, mean age was 43.1 years; 67% identified as white/Caucasian, 11% Asian/Pacific Islander, 6% Hispanic/Latinx, 7% black/African American, and 7% of multiple races. Participants of all demographic groups used the app symptom logging, reviewed educational materials, and interacted with their care team and reported similar statistically significant improvements in GI symptoms (by the end of the intervention, 85% improved, p<0.05). Participants reported feeling greater control of their health (83%), better able to manage their digestive symptoms (83%), increased happiness (76%), and greater productivity at work (54%), with black/African Americans and Native Americans most likely to report these changes. CONCLUSION: We conclude that a digital GI disease management programme may be of value in reducing disparities in access to GI care.

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OBJECTIVES: Cognitive impairment and decreased executing functioning represent common symptoms of both ADHD and pregnancy. This study aimed to characterize temporal trends and racial/ethnic disparities in ADHD diagnosis during the perinatal period. METHODS: In this serial cross-sectional study, we used administrative claims to create a cohort of commercially insured women with a documented live birth between 2008 and 2020 and identified those with an ADHD diagnosis in the year before or after delivery. We applied logistic regression to assess the probability of ADHD diagnosis adjusting for race/ethnicity, age, and comorbid conditions. We used this model to calculate the predicted probability of ADHD diagnosis by racial/ethnic group for each year. RESULTS: We identified 736,325 deliveries from 2008 to 2020. Overall, 16,801 (2.28 %) of deliveries had an ADHD diagnosis in the year before or after delivery. ADHD rates increased 290 % from 101 (95%CI: 92-111) per 10,000 deliveries in 2008 to 394 (95%CI: 371-419) per 10,000 deliveries in 2020. White women experienced the highest rates followed by Black, Hispanic, and Asian, respectively. CONCLUSIONS: Increasing ADHD diagnosis rates during the perinatal period may reflect improved detection but racial disparities persist. Additional research is needed to develop equitable outreach strategies to better support women experiencing ADHD during the perinatal period.

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In Brazil, ethnic-racial inequalities exist in all fields, obstructing access to goods, services, and opportunities, including healthcare services. However, there are no apparent studies that assess, at a national level, ethnic-racial disparities in poisoning cases, emphasizing skin color as a determining factor. The study aimed to examine the relationship between race/ethnicity and general poisoning cases, by medications, pesticides, and drug of abuse in Brazilian states. Poisoning cases data were extracted for the years 2017, 2018, and 2019. Notification data for general poisoning cases and toxic agents were collected: medications, pesticides, and drugs of abuse. Data were categorized between whites and non-whites (blacks, browns, and indigenous) and without information on skin color/ethnicity. Rates of poisonings amongst ethnic-racial groups and cases of not declared skin color as well as relative risk (RR) of poisoning among non-whites were calculated. All states in the North, Northeast (states with the worst Human Development Index), Midwest, and 2 states in the Southeast exhibited higher rates of poisoning cases per 100,000 inhabitants among non-whites. The RR values for nonwhite individuals were higher in the North and Northeast regions for all types of poisonings. The type of poisoning cases that presented the highest RR for non-whites over the 3 years was drugs of abuse (2-2.44), when compared to other types of poisonings from pesticides (2-2.33) and medications (1.5-1.91). The spatial distribution of poisoning cases rates and RR of nonwhite population support public policies to reduce socioeconomic and environmental inequalities.

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OBJECTIVES: To explore the prevalence of Multiracial/ethnic identity and its association with mental health among high school students. METHODS: The 2021 national Youth Risk Behavior Survey (N=17,232) data were used. Respondents were classified as monoracial/ethnic or Multiracial/ethnic. RESULTS: Overall, 21.5% of students were Multiracial/ethnic. Multiracial/ethnic status was most prevalent among students who identify as American Indian or Alaska Native, Native Hawaiian or Other Pacific Islander, and Hispanic or Latino. Logistic regression models showed Multiracial/ethnic classification was associated with persistent feelings of sadness or hopelessness among students identifying as American Indian or Alaska Native, Asian, Black, and White. Multiracial/ethnic Asian students had significantly higher odds of all four indicators of poor mental health compared with monoracial/ethnic Asian students. CONCLUSION: Multiracial/ethnic students constitute a heterogenous group. This study found important subgroup differences in indicators of mental health that might be missed when Multiracial/ethnic groups are considered in aggregate.

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BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication with long-term health consequences for mothers and their children. The escalating trends of GDM coupled with the growing prevalence of maternal obesity, a significant GDM risk factor projected to approach nearly 60% by 2030 in Kansas, has emerged as a pressing public health issue. METHODS: The aim of this study was to compare GDM and maternal obesity trends in rural and urban areas and investigate maternal demographic characteristics influencing the risk of GDM development over a 15-year period. Trend analyses and a binary logistic regression were employed utilizing 2005 to 2019 de-identified birth record vital statistics from the Kansas Department of Health and Environment (N = 589,605). RESULTS: Over the cumulative 15-year period, a higher prevalence of GDM was observed across age, race/ethnicity, education, and insurance source. Throughout this period, there was an increasing trend in both GDM and obese pre-pregnancy BMI age-adjusted prevalence, with noticeable rural-urban disparities. From 2005 to 2019, women, including Asians (OR: 2.73, 95% CI 2.58%-2.88%), American Indian or Alaskan Natives (OR: 1.58, 95%, CI 1.44-1.73%), Hispanics (OR: 1.42, 95% CI 1.37%-1.48%), women residing in rural areas (OR: 1.09, 95%, CI 1.06-1.12%), with advanced maternal age (35-39 years, OR: 4.83 95% CI 4.47%-5.22%; ≥40 years, OR: 6.36 95%, CI 5.80-6.98%), with lower educational status (less than high school, OR: 1.15, 95% CI 1.10%-1.20%; high school graduate, OR: 1.10, 95% CI 1.06%-1.13%), Medicaid users (OR: 1.10, 95% CI 1.06%-1.13%), or with an overweight (OR: 1.78, 95% CI 1.72%-1.84%) or obese (OR: 3.61, 95% CI 3.50%-3.72%) pre-pregnancy BMI were found to be at an increased risk of developing GDM. CONCLUSIONS: There are persistent rural-urban and racial/ethnic disparities present from 2005 to 2019 among pregnant women in Kansas with or at-risk of GDM. There are several socioeconomic factors that contribute to these health disparities affecting GDM development. These findings, alongside with prominent rising maternal obesity trends, highlight the need to expand GDM services in a predominantly rural state, and implement culturally-responsive interventions for at-risk women.

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Despite ethical and historical arguments for removing race from clinical algorithms, the consequences of removal remain unclear. Here, we highlight a largely undiscussed consideration in this debate: varying data quality of input features across race groups. For example, family history of cancer is an essential predictor in cancer risk prediction algorithms but is less reliably documented for Black participants and may therefore be less predictive of cancer outcomes. Using data from the Southern Community Cohort Study, we assessed whether race adjustments could allow risk prediction models to capture varying data quality by race, focusing on colorectal cancer risk prediction. We analyzed 77,836 adults with no history of colorectal cancer at baseline. The predictive value of self-reported family history was greater for White participants than for Black participants. We compared two cancer risk prediction algorithms-a race-blind algorithm which included standard colorectal cancer risk factors but not race, and a race-adjusted algorithm which additionally included race. Relative to the race-blind algorithm, the race-adjusted algorithm improved predictive performance, as measured by goodness of fit in a likelihood ratio test (P-value: <0.001) and area under the receiving operating characteristic curve among Black participants (P-value: 0.006). Because the race-blind algorithm underpredicted risk for Black participants, the race-adjusted algorithm increased the fraction of Black participants among the predicted high-risk group, potentially increasing access to screening. More broadly, this study shows that race adjustments may be beneficial when the data quality of key predictors in clinical algorithms differs by race group.

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Due to demographic changes of the U.S. population in the past few decades, more attention has been placed on understanding the sociocultural factors that have an impact on the mental health of racially and ethnically minoritized (REM) groups. One factor that has gained increased attention in recent years is acculturative stress. Acculturative stress is associated with negative mental health outcomes, such as depression, anxiety, psychological distress, and suicide ideation (SI). However, the magnitude of this association remains unclear. A systematic review and meta-analysis were conducted to provide a comprehensive review of the impact of acculturative stress on depression, anxiety, psychological distress, and SI among REM youth. We also aimed to explore whether sociodemographic variables (i.e., race/ethnicity, generational status, sex/gender, and age) moderate the relationships between acculturative stress and mental health outcomes. Forty-six peer-reviewed articles examining the link between acculturative stress and internalizing problems among REM youth in the U.S. (mean age range: 13-29) met inclusion criteria and were included in this systematic review and meta-analysis. A positive relationship of moderate size between acculturative stress and depression, anxiety, psychological distress, and SI was found. Moderation analyses also revealed that the impact of acculturative stress on depression may be greater among those who are older and for first-generation immigrants. Similarly, its impact on anxiety may also be more pronounced for first-generation immigrants. Results also suggested that the impact of acculturative stress on depression and psychological distress may be greater among men compared to women. These findings highlight the importance of making sure clinicians assess for acculturative stress when working with REM youth, as well as factors that may be contributing to an individual's acculturative stress level.

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INTRODUCTION: In an effort to define the characteristics of populations affected by melasma, we utilized a large global health research network database from 108 health care organizations (TriNetx) to quantify the associations between race, ethnicity, and comorbidities. METHODS: We identified the cohort of all patients with melasma from the TriNetx database, and subsequently generated a control cohort. ICD-10 codes were used to identify the prevalence of various comorbidities associated with melasma. RESULTS: A total of 41,283 patients with melasma (93% female, mean [SD] age 48.8 [12.6] year) were identified. The most frequently associated risk factors included hypertension (25% of the melasma cohort) and hormonal contraception (24%). Rosacea (OR=5.1), atopic dermatitis (OR=3.3), lupus (OR=2.5), history of skin cancer (OR=2.5), history of internal malignancy (OR=2.1), and hormonal contraception use (OR=2.1) possessed the highest odds ratios for development of melasma (all P< 0.01). A statistically significant association was identified for melasma in Asian or Other/Unknown races (OR=2.0 and OR=1.7, P< 0.01), as well as Hispanic ethnicity (OR=1.3, P< 0.01). White, Black/African American, and Not Hispanic groups all revealed slightly lower odds (all 0.8, P< 0.01). CONCLUSION: This latest global update on the etiopathology of melasma further supports findings from prior epidemiologic study reporting preference in melanized phenotypes (Fitzpatrick skin type III-V), but less so in extreme skin types (I, II, VI). Increased associations with rosacea, atopic dermatitis, and history of cancer may emphasize the importance of treating concurrent inflammatory environments and the consideration of more frequent malignancy surveillance. J Drugs Dermatol. 2024;23(8):691-693.  doi:10.36849/JDD.8233.

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Relatively few neighborhood-focused studies explicitly model the relationship between neighborhood change- i.e., racial change within a neighborhood-and individual mental health, instead focusing on the current composition of the neighborhood or on the outcomes of individuals that switch neighborhood contexts via moves. Further, while neighborhoods and schools are interconnected, researchers tend to focus on only one of these contexts in their work. Combining family and student data from the Panel Study of Income Dynamics (PSID) with multiple waves of neighborhood and school administrative data, our study extends current scholarship in this area by explicitly focusing on the relationship between exposure to neighborhood and school racial change-i.e., change occurring within the neighborhood or school in the prior decade-and the behavior problems of current students. We further analyze how associations vary: 1) by student race; 2) between newcomers to the neighborhood and those that lived in the neighborhood as it underwent demographic change; 3) and in neighborhoods with higher proportions of same-race residents. Our findings suggest that the relationship between local neighborhood contexts and the behavioral problems of children is nuanced and depends on the racial trajectories-change or stability-of neighborhoods, schools, and the interaction of both. Compared to longer-term residents, White newcomers tended to have more behavioral problems across racially changing and stable neighborhoods alike, regardless of the racial trajectories observed in the local school. Our results align with past work documenting the protective effect of same-race peers for Black children. Conversely, we find White students exhibit greater behavioral problems in settings with very high proportions of same-race peers, particularly in neighborhoods and schools that are simultaneously becoming increasingly racially isolated.

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We conducted a cross-sectional study of hypertension care in public and private services, analyzing gender, color, and socioeconomic status. Using data from the 2013 (n = 60,202) and 2019 (n = 90,846) national health surveys, hypertension prevalence increased from 21.4 to 23.9%. Quality of care declined from 41.7 to 35.4%, particularly in public services, disproportionately affecting low-income Black women. Poisson regression estimated prevalence ratios (PRs), with the lowest adjusted PR for high-quality care among low-income Black women. These findings highlight persistent health inequalities and the urgent need for intersectoral policies to promote health equity.

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