NAFLD and HIV: Do Sex, Race, and Ethnicity Explain HIV-Related Risk?
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ABSTRACT:
SUBMITTER: Soti S
PROVIDER: S-EPMC6003864 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Publications
NAFLD and HIV: Do Sex, Race, and Ethnicity Explain HIV-Related Risk?
Soti Subada S Corey Kathleen E KE Lake Jordan E JE Erlandson Kristine M KM
Current HIV/AIDS reports 20180601 3
<h4>Purpose of review</h4>Here, we review the epidemiology, diagnosis, and management of non-alcoholic fatty liver disease (NAFLD) in the general population, discuss HIV-specific differences in NAFLD pathogenesis, and summarize what is known regarding differences in NAFLD by race/ethnicity and sex.<h4>Recent findings</h4>The reported prevalence of NAFLD among people living with HIV varies by age, body mass index, comorbidity, and method of NAFLD diagnosis, but is generally thought to be greater ...[more]
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| S-EPMC4121117 | biostudies-literature
Project description:ImportancePrevious estimates suggested that 1 in 3 cases of Alzheimer disease and related dementia (ADRDs) in the US are associated with modifiable risk factors, the most prominent being physical inactivity, depression, and smoking. However, these estimates do not account for changes in risk factor prevalence over the past decade and do not consider potential differences by sex or race and ethnicity.ObjectiveTo update estimates of the proportion of ADRDs in the US that are associated with modifiable risk factors and to assess for differences by sex and race and ethnicity.Design, setting, and participantsFor this cross-sectional study, risk factor prevalence and communality were obtained from the nationally representative US Behavioral Risk Factor Surveillance Survey data from January 2018 to December 2018, and relative risks for each risk factor were extracted from meta-analyses. Data were analyzed from December 2020 to August 2021. Respondents included 378 615 noninstitutionalized adults older than 18 years. The number before exclusion was 402 410. Approximately 23 795 (~6%) had missing values on at least 1 of the variables of interest.ExposuresPhysical inactivity, current smoking, depression, low education, diabetes, midlife obesity, midlife hypertension, and hearing loss.Main outcomes and measuresIndividual and combined population-attributable risks (PARs) associated with ADRDs, accounting for nonindependence between risk factors.ResultsAmong 378 615 individuals, 171 161 (weighted 48.7%) were male, and 134 693 (weighted 21.1%) were 65 years and older. Race and ethnicity data were self-reported and defined by the US Behavioral Risk Factor Surveillance System Data; 6671 participants (weighted 0.9%) were American Indian and Alaska Native, 8043 (weighted 5.1%) were Asian, 29 956 (weighted 11.7%) were Black, 28 042 (weighted 16.0%) were Hispanic (any race), and 294 394 (weighted 64.3%) were White. Approximately 1 in 3 of ADRD cases (36.9%) in the US were associated with 8 modifiable risk factors, the most prominent of which were midlife obesity (17.7%; 95% CI, 17.5-18.0), physical inactivity (11.8%; 95% CI, 11.7-11.9), and low educational attainment (11.7%; 95% CI, 11.5-12.0). Combined PARs were higher in men (35.9%) than women (30.1%) and differed by race and ethnicity: American Indian and Alaska Native individuals, 39%; Asian individuals, 16%; Black individuals, 40%; Hispanic individuals (any race), 34%; and White individuals, 29%. The most prominent modifiable risk factors regardless of sex were midlife obesity for American Indian and Alaska Native individuals, Black individuals, and White individuals; low education for Hispanic individuals; and physical inactivity for Asian individuals.Conclusions and relevanceThe findings suggest that risk factors associated with ADRDs have changed over the past decade and differ based on sex and race and ethnicity. Alzheimer risk reduction strategies may be more effective if they target higher-risk groups and consider current risk factor profiles.
| S-EPMC9086930 | biostudies-literature
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| S-EPMC9658200 | biostudies-literature
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| S-EPMC4447784 | biostudies-literature
Project description:Depression is a leading cause of disability in the U.S. across all race/ethnicity groups. While non-Hispanic Black and Hispanic persons have worse physical health on most indicators than non-Hispanic White persons, the literature on the association between race/ethnicity and rates of depression is mixed. Given unequal distribution of assets across racial/ethnic groups, it is possible that social and economic differences may explain differential rates of depression across race/ethnicity groups. Using National Health and Nutrition Examination Survey (NHANES) data from 2007–2016, we constructed a nationally representative sample of 26,382 adults over 18 years old (11,072 non-Hispanic White, 5,610 non-Hispanic Black, 6,981 Hispanic, and 2,719 Other race). We measured symptoms of depression using the Patient Health Questionnaire-9 (PHQ-9), with a score of 10 or more indicating probable depression. We identified three kinds of assets: financial assets (income), physical assets (home ownership), and social assets (marital status and education). We estimated the weighted prevalence of probable depression across race/ethnicity groups, odds ratios controlling for assets, and predicted probabilities of probable depression across race/ethnicity and asset groups. Three results contribute to our understanding of the differences in probable depression rates between race/ethnicity groups: 1) Non-Hispanic Black and Hispanic persons had a higher weighted prevalence of probable depression in the U.S. than non-Hispanic White persons. In models unadjusted for assets, non-Hispanic Black and Hispanic persons had 1.3 greater odds of probable depression than non-Hispanic White persons (p<0.01). 2) We found an inverse relation between assets and probable depression across all race-ethnicity groups. Also, non-Hispanic Black and Hispanic persons had fewer assets than non-Hispanic Whites. 3) When we controlled for assets, non-Hispanic Black and Hispanic persons had 0.8 times lower odds of probable depression than non-Hispanic White persons (p<0.05). Thus, when holding assets constant, minorities had better mental health than non-Hispanic White persons in the U.S. These three findings help to reconcile findings in the literature on race/ethnicity and depression. Given vastly unequal distribution of wealth in the U.S., it is not surprising that racial minorities, who hold fewer assets, would have an overall larger prevalence of mental illness, as seen in unadjusted estimates. Once assets are taken into account, Black and Hispanic persons appear to have better mental health than non-Hispanic White persons. Assets may explain much of the relation between race/ethnicity group and depression in the U.S. Future research should consider the role of assets in protecting against mental illness.
| S-EPMC7531850 | biostudies-literature
Project description:Maximizing the rates of virologic suppression (VS) among gay, bisexual, and other men who have sex with men (MSM) is essential to limiting HIV morbidity and sexual transmission of HIV in the United States. We analyzed data for MSM of non-Hispanic white (white), non-Hispanic black (black), or Hispanic/Latino race/ethnicity in the HIV Outpatient Study (HOPS) at nine U.S. HIV clinics. VS (HIV RNA <50 copies/ml) was measured closest to January 1, 2015. We modeled factors associated with VS among persons prescribed antiretroviral therapy (ART) for ≥6 months and assessed VS for a subset of participants with behavioral interview data. Among 1,303 MSM studied, 24% were black and 11% were Hispanic/Latino. Fewer black than white or Hispanic/Latino MSM had any documented ART use history (92% vs. 99% and 94%, respectively), and fewer had VS (72% vs. 91% and 81%), p < .001. In analyses of MSM prescribed ART, which adjusted for insurance type, duration of ART use, and CD4+ cell count, blacks had lower prevalence of VS than whites [adjusted prevalence ratio (PR) 0.87, confidence interval (95% CI) 0.81-0.93] and Hispanics/Latinos did not (PR 0.95, 95% CI 0.88-1.02). Among 331 MSM with interview data, 6% had no VS, but reported anal sex without a condom with an HIV-uninfected or unknown HIV serostatus male partner in the past 6 months. In this study of HIV-infected MSM, blacks had a significantly lower prevalence of VS than white men. Optimizing HIV care and prevention among all MSM will require addressing underlying risk factors and social determinants of health that contribute to racial/ethnic disparities in HIV outcomes.
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Project description:BACKGROUND:Although racial/ethnic and sex disparities have been examined in health care generally and pain management more specifically, the combined influence of these sociodemographic factors together has not been well documented. The aim of this study was to examine the association between administration of opioid analgesics in the emergency department (ED) and interaction of race/ethnicity and sex. METHODS:We conducted a retrospective cohort study using 2010-2014 Center for Disease Control-National Hospital Ambulatory Medical Care Survey data for patients 12-55 years of age presenting to EDs with a primary diagnosis of appendicitis or gallbladder disease as defined by International Classification of Diseases, Ninth Revision codes. The primary outcome was the receipt of opioid analgesic medications. Secondary outcomes included: receipt of nonopioids, receipt of antiemetic medications, wait time to see a provider, and length of visit in the ED. The association between sex and analgesic receipt within Caucasian non-Hispanic and non-Caucasian groups was evaluated adjusting for pain score on presentation, patient age, emergent status, number of comorbidities, time of visit (month, day of the week, standard versus nonstandard working hours, year), and US region. RESULTS:After exclusions, a weighted sample of 553 ED visits was identified, representing 2,622,926 unique visits. The sample population was comprised of 1,858,035 (70.8%) females and 1,535,794 (58.6%) Caucasian non-Hispanics. No interaction was found in adjusted sampling-weighted model between sex and race/ethnicity on the odds of receiving opioids (P = .74). There was no difference in opioid administration to males as compared to females (odds ratio [OR] = 0.96, 95% CI, 0.87-1.06; P = .42) or to non-Caucasians as compared to Caucasians (OR = 0.99, 95% CI, 0.89-1.10; P = .84). In adjusted weighted models, non-Caucasian males, 123,121/239,457 (51.4%) did not differ from Caucasian non-Hispanic males, 317,427/525,434 (60.4%), on odds of receiving opioids, aOR = 0.88, 95% CI, 0.39-1.99; P = .75. Non-Caucasian females, 547,709/847,675 (64.6%) also did not differ from Caucasian females, 621,638/1,010,360 (61.5%), on odds of receiving opioids, aOR = 1.01, 95% CI, 0.53-1.90; P = .98. Across both sexes, non-Caucasians did not differ from Caucasians on receipt of nonopioid analgesics or antiemetics. Neither wait time to see a provider nor the length of the hospital visit was significantly different between sexes or race/ethnicities. CONCLUSIONS:Based on National Hospital Ambulatory Medical Care Survey data from 2010 to 2014, there is no statistically significant interaction between race/ethnicity and sex for administration of opioid analgesia to people presenting to the ED with appendicitis or gallbladder disease. These results suggest that the joint effect of patient race/ethnicity and sex may not manifest in disparities in opioid management.
| S-EPMC6611165 | biostudies-literature
Project description:Background:Although traditional risk factors for atrial fibrillation (AF) and its outcomes are established in whites, their role in the pathogenesis of AF across race-ethnicity and both sexes remain unclear. Cohort studies have consistently shown worse AF-related outcomes in these groups. The objective of this study was to determine the role played by race- and sex-specific risk factors in AF outcomes in non-Hispanic blacks (NHBs), Hispanics/Latinos (H/Ls), and non-Hispanic whites (NHWs). Methods:Using electronic health records (EHR), 3607 patients with an ICD-9 code for AF were identified over a 7-year period. Risk factors were identified from ICD to 9 CM claims data: hypertension (HTN), type 2 diabetes mellitus (T2DM), stroke/transient ischemic attack (TIA), smoking, chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), peripheral arterial disease (PAD) and obstructive sleep apnea (OSA). Multivariate analysis of variance was used to compare the incidence of AF risk factors. Results:NHBs and H/Ls with AF experienced more stroke than NHWs (27% and 24% vs. 19% P < 0.01). Females had less HTN (48.4% vs 51.6% [males], P = 0.0002), CAD (47.4% vs 55.7% [males], P = 0.02), and smoking rates (38.2% vs 61.8% [males], P < 0.0001) but higher stroke rates (25.9% [female] vs 21.8% [males], P < 0.0001). Age-adjusted risk factors for stroke varied markedly across race-ethnicity and sex. Conclusions:We identified differences in risk factors for AF and stroke across race-ethnicity and sex. The findings of our study are hypothesis generating and should be used to direct future studies.
| S-EPMC7262442 | biostudies-literature
Project description:BackgroundSubjective social status (SSS) has shown inverse relationships with cardiometabolic risk, but intersectionalities of race/ethnicity and sex may indicate more nuanced relationships.PurposeTo investigate associations of SSS with cardiometabolic risk markers by race/ethnicity and sex.MethodsData were from Wave IV (2008) of the National Longitudinal Study of Adolescent to Adult Health (n = 4,847; 24-32 years), which collected biological cardiometabolic risk markers. A 10-step ladder captured SSS; respondents indicated on which step they perceived they stood in relation to other people in the U.S. higher values indicated higher SSS (range: 1-10). We tested the relationship between SSS and individual markers using generalized least square means linear regression models, testing three-way interactions between SSS, race/ethnicity, and sex (p < .10) before stratification.ResultsSSS-race/ethnicity-sex interactions were significantly associated with waist circumference (p ≤ .0001), body mass index (BMI; p ≤ .0001), systolic blood pressure (SBP; p ≤ .0001), diastolic blood pressure (DBP; p = .0004), and high-density lipoprotein cholesterol (HDL-C; p = .07). SSS was associated with waist circumference (β [SE]: -1.2 (0.4), p < .05) and BMI (-0.6 [0.2], p < .01) for non-Hispanic White females, compared with males; with HDL-C among non-Hispanic White (0.2 [0.1]; p < .05) and Hispanic (0.3 (0.1); p < .05) females, compared with males; with SBP for non-Hispanic Asian (1.7 [0.8]; p < .05) and Multiracial (1.8 [0.8]; p < .05), versus White, females; and with DBP for non-Hispanic Black (0.8 [0.3]; p < .01), versus White, males.ConclusionsSSS was differentially related to cardiometabolic risk markers by race/ethnicity and sex, suggesting intersectional aspects. Clinical and research applications of SSS should consider race/ethnicity- and sex-specific pathways influencing cardiometabolic risk.
| S-EPMC9116590 | biostudies-literature
Project description:ObjectiveTo determine the association between neighborhood socioeconomic status (NSES) and cardio-metabolic risk and whether this relationship differs by race/ethnicity.MethodsParticipants in the Multi-Ethnic Study of Atherosclerosis (n = 5750), ages 45-84 years, from 6 US counties, including 5 examinations from 2000 to 2012. We calculated a modified allostatic load (AL) index, indicating cardio-metabolic risk. NSES score included census-derived measures at census tract of residence. Mixed effects growth curve models were used to assess linear and non-linear associations between NSES and AL at baseline and over time.ResultsHigher NSES was associated with lower AL across race/ethnic groups; considering NSES quintiles, significant associations were found only for the highest NSES quintiles (difference of -0.86 and -1.15 for white and Hispanic participants) vs. the lowest. We found no significant association between NSES and change in AL over time.DiscussionOur findings suggest that the relationship between NSES and AL reflects the health benefits of living in the most advantaged neighborhoods.Public health implicationsUnderstanding the impact of higher NSES on health effects may help identify interventions to effectively target high risk neighborhoods.
| S-EPMC7397689 | biostudies-literature