Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States.
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ABSTRACT:
SUBMITTER: Sharma G
PROVIDER: S-EPMC9238529 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSocial and psychosocial factors are associated with cardiovascular health (CVH). Our objective was to examine the contributions of individual-level social and psychosocial factors to racial and ethnic differences in population CVH in the NHANES (National Health and Nutrition Examination Surveys) 2011 to 2018, to inform strategies to mitigate CVH inequities.MethodsIn NHANES participants ages ≥20 years, Kitagawa-Blinder-Oaxaca decomposition estimated the statistical contribution of individual-level factors (education, income, food security, marital status, health insurance, place of birth, depression) to racial and ethnic differences in population mean CVH score (range, 0-14, accounting for diet, smoking, physical activity, body mass index, blood pressure, cholesterol, blood glucose) among Hispanic, non-Hispanic Asian, or non-Hispanic Black adults compared with non-Hispanic White adults.ResultsAmong 16 172 participants (representing 255 million US adults), 24% were Hispanic, 12% non-Hispanic Asian, 23% non-Hispanic Black, and 41% non-Hispanic White. Among men, mean (SE) CVH score was 7.45 (2.3) in Hispanic, 8.71 (2.2) in non-Hispanic Asian, 7.48 (2.4) in non-Hispanic Black, and 7.58 (2.3) in non-Hispanic White adults. In Kitagawa-Blinder-Oaxaca decomposition, education explained the largest component of CVH differences among men (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.36 [0.04] points higher in Hispanic, 0.24 [0.04] points lower in non-Hispanic Asian, and 0.23 [0.03] points higher in non-Hispanic Black participants; P<0.05). Among women, mean (SE) CVH score was 8.03 (2.4) in Hispanic, 9.34 (2.1) in non-Hispanic Asian, 7.43 (2.3) in non-Hispanic Black, and 8.00 (2.5) in non-Hispanic White adults. Education explained the largest component of CVH difference in non-Hispanic Black women (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.17 [0.03] points higher in non-Hispanic Black participants; P<0.05). Place of birth (born in the United States versus born outside the United States) explained the largest component of CVH difference in Hispanic and non-Hispanic Asian women (if distribution of place of birth were similar to non-Hispanic White participants, CVH score would be 0.36 [0.07] points lower and 0.49 [0.16] points lower, respectively; P<0.05).ConclusionsEducation and place of birth confer the largest statistical contributions to the racial and ethnic differences in mean CVH score among US adults.
| S-EPMC9852071 | biostudies-literature
Project description:Background Depression is a nontraditional risk factor for cardiovascular disease (CVD). Data on the association of depression and poor mental health with CVD and suboptimal cardiovascular health (CVH) among young adults are limited. Methods and Results We used data from 593 616 young adults (aged 18-49 years) from the 2017 to 2020 Behavioral Risk Factor Surveillance System, a nationally representative survey of noninstitutionalized US adults. Exposures were self-reported depression and poor mental health days (PMHDs; categorized as 0, 1-13, and 14-30 days of poor mental health in the past 30 days). Outcomes were self-reported CVD (composite of myocardial infarction, angina, or stroke) and suboptimal CVH (≥2 cardiovascular risk factors: hypertension, hypercholesterolemia, overweight/obesity, smoking, diabetes, physical inactivity, and inadequate fruit and vegetable intake). Using logistic regression, we investigated the association of depression and PMHDs with CVD and suboptimal CVH, adjusting for sociodemographic factors (and cardiovascular risk factors for the CVD outcome). Of the 593 616 participants (mean age, 34.7±9.0 years), the weighted prevalence of depression was 19.6% (95% CI, 19.4-19.8), and the weighted prevalence of CVD was 2.5% (95% CI, 2.4-2.6). People with depression had higher odds of CVD than those without depression (odds ratio [OR], 2.32 [95% CI, 2.13-2.51]). There was a graded association of PMHDs with CVD. Compared with individuals with 0 PMHDs, the odds of CVD in those with 1 to 13 PMHDs and 14 to 30 PHMDs were 1.48 (95% CI, 1.34-1.62) and 2.29 (95% CI, 2.08-2.51), respectively, after adjusting for sociodemographic and cardiovascular risk factors. The associations did not differ significantly by sex or urban/rural status. Individuals with depression had higher odds of suboptimal CVH (OR, 1.79 [95% CI, 1.65-1.95]) compared with those without depression, with a similar graded relationship between PMHDs and suboptimal CVH. Conclusions Depression and poor mental health are associated with premature CVD and suboptimal CVH among young adults. Although this association is likely bidirectional, prioritizing mental health may help reduce CVD risk and improve CVH in young adults.
| S-EPMC9973664 | biostudies-literature
Project description:IntroductionPregnant women and their offspring are particularly vulnerable to food insecurity and its adverse effects during critical periods of fetal development. Racially/ethnically minoritized women in the United States (US) who are pregnant are additionally burdened by food insecurity, which may exacerbate cardiovascular health (CVH) disparities. Despite heightened social vulnerability, few studies have employed an intersectional framework, including race and gender, to assess the food insecurity and CVH relationship.MethodsWe used 2012-2018 and 2020 National Health Interview Survey data among US pregnant women aged 18-49 years old (N = 1,999) to assess the prevalence of food insecurity status by race/ethnicity and to investigate household food security status in relation to ideal CVH, using a modified ideal CVH (mICVH) metric. We categorized food security status as "very low/low", "marginal", or "high". To assess mICVH, a summary score of 7 clinical characteristics and health behaviors was dichotomized as yes [(7)] vs. no [<7]. Prevalence ratios (PRs) and 95% confidence intervals (CIs) of associations between food security status and mICVH were estimated using Poisson regression with robust variance. Models were adjusted for age, household income, educational attainment, geographic region, marital status, alcohol consumption, survey year, and race/ethnicity (in overall model).ResultsThe mean age ± standard error was 29.0 ± 0.2 years. Among pregnant women, 12.7% reported "very low/low", 10.6% reported "marginal", and 76.7% reported "high" food security. "Very low/low" food security prevalence was higher among NH-Black (16.2%) and Hispanic/Latina (15.2%) pregnant women compared to NH-White (10.3%) and NH-Asian (3.2%) pregnant women. The mICVH prevalence was 11.6% overall and 14.5% for NH-White, 4.1% for NH-Black, 5.0% for Hispanic/Latina, and 26.7% for NH-Asian pregnant women. Among all pregnant women, "very low/low" and "marginal" vs. "high" food security status was associated with a lower prevalence of mICVH {[PRvery low/low = 0.26 (95% CI: 0.08-0.75)]; [PRmarginal = 0.47 (95% CI: 0.23 -0.96)]}.ConclusionHousehold food insecurity was higher among pregnant women in minoritized racial/ethnic groups and was associated with lower mICVH prevalence. Given the higher burden of food insecurity among minoritized racial/ethnic groups, food security may be an important intervention target to help address disparities in poor CVH among pregnant women.
| S-EPMC10896860 | biostudies-literature
Project description:Social determinants of health include social and demographic factors such as poverty, education status, race and ethnicity, gender, insurance status, and other factors that influence (1) development of illness, (2) ability to obtain and utilize healthcare, and (3) health and healthcare outcomes. In otolaryngology, as in other subspecialty surgical fields, we are constantly confronted by patients' social and demographic circumstances including poverty, language barriers, and lack of health insurance and yet there is limited research on how these factors impact health equity in our field, or how attention to these patient characteristics may improve health equity. This review provides the reader with a framework to understand the social determinants of health including how socioeconomic status, insurance status, race, gender, and other factors impact health.Foundational papers on the social determinants of health are reviewed, as well as otolaryngology publications focused on health and healthcare disparities.The social determinants of health have a major impact on patient health as well as healthcare utilization, but there is a relative lack of data on these factors and how they can be addressed within otolaryngology. Incorporating tools to measure social and demographic characteristics and actually report on these measures is a first simple step to increase the data on the social determinants of health as they pertain to otolaryngology.More research is needed on the social determinants of health, and how they impact otolaryngic disease. Medicare's Accountable Care Organization models will increasingly change the way in which physicians are reimbursed, making the social determinants of health central not only to our moral conscience but also the bottom line.4.
| S-EPMC5562939 | biostudies-other
Project description:Importance:An association between social and neighborhood characteristics and health outcomes has been reported but remains poorly understood owing to complex multidimensional factors that vary across geographic space. Objectives:To quantify social determinants of health (SDOH) as multiple dimensions across the continental United States (the 48 contiguous states and the District of Columbia) at a small-area resolution and to examine the association of SDOH with premature mortality within Chicago, Illinois. Design, Setting, and Participants:In this cross-sectional study, census tracts from the US Census Bureau from 2014 were used to develop multidimensional SDOH indices and a regional typology of the continental United States at a small-area level (n?=?71?901 census tracts with approximately 312 million persons) using dimension reduction and clustering machine learning techniques (unsupervised algorithms used to reduce dimensions of multivariate data). The SDOH indices were used to estimate age-adjusted mortality rates in Chicago (n?=?789 census tracts with approximately 7.5 million persons) with a spatial regression for the same period, while controlling for violent crime. Main Outcomes and Measures:Fifteen variables, measured as a 5-year mean, were selected to characterize SDOH as small-area variations for demographic characteristics of vulnerable groups, economic status, social and neighborhood characteristics, and housing and transportation availability at the census-tract level. This SDOH data matrix was reduced to 4 indices reflecting advantage, isolation, opportunity, and mixed immigrant cohesion and accessibility, which were then clustered into 7 distinct multidimensional neighborhood typologies. The association between SDOH indices and premature mortality (defined as death before age 75 years) in Chicago was measured by years of potential life lost and aggregated to a 5-year mean. Data analyses were conducted between July 1, 2018, and August 30, 2019. Results:Among the 71?901 census tracts examined across the continental United States, a median (interquartile range) of 27.2% (47.1%) of residents had minority status, 12.1% (7.5%) had disabilities, 22.9% (7.6%) were 18 years and younger, and 13.6% (8.1%) were 65 years and older. Among the 789 census tracts examined in Chicago, a median (interquartile range) of 80.4% (56.3%) of residents had minority status, 10.2% (8.2%) had disabilities, 23.2% (10.9%) were 18 years and younger, and 9.5% (7.1%) were 65 years and older. Four SDOH indices accounted for 71% of the variance across all census tracts in the continental United States in 2014. The SDOH neighborhood typology of extreme poverty, which is of greatest concern to health care practitioners and policy advocates, comprised only 9.6% of all census tracts across the continental United States but characterized small areas of known public health crises. An association was observed between all SDOH indices and age-adjusted premature mortality rates in Chicago (R2?=?0.63; P?<?.001), even after accounting for violent crime and spatial structures. Conclusions and Relevance:The modeling of SDOH as multivariate indices rather than as a singular deprivation index may better capture the complexity and spatial heterogeneity underlying SDOH. During a time of increased attention to SDOH, this analysis may provide actionable information for key stakeholders with respect to the focus of interventions.
| S-EPMC6991288 | biostudies-literature
Project description:Background:Educational attainment and income are two socioeconomic status indicators with strong protective effects against cigarette smoking. Marginalization-related Diminished Returns, however, refer to less than expected protective effects of socioeconomic status indicators for the members of the racial and ethnic minority groups, particularly Blacks and Hispanics, compared to non-Hispanic Whites. Aim:Borrowing data from a nationally representative study in the US, this study tested whether racial and ethnic differences exist in the effects of educational attainment and poverty status on cigarette smoking of American adults. Methods:This cross-sectional study entered 28,329 adult participants of the Population Assessment of Tobacco and Health (PATH; 2013). Both educational attainment and poverty status were the independent variables. The dependent variable was current hookah smoking. Age, gender, and region were the covariates. Race and ethnicity were the effect modifiers (moderators). Results:Overall, individuals with higher educational attainment were more likely to smoke a hookah. Individuals who lived out of poverty, however, had lower odds of current hookah smoking. Race and ethnicity both showed statistical interactions with both socioeconomic indicators suggesting that Blacks and Hispanics with high educational attainment and those who live out of poverty have disproportionately high odds of hookah smoking, compared to non-Hispanic Whites with high socioeconomic status. Conclusions:In the United States, middle-class racial and ethnic minority people remain at higher risk of smoking hookah. As a result, we should expect a high tobacco burden in middle-class Black and Hispanic adults. We suggest that policymakers should not take an over-simplistic way and reduce the problem of race/ethnic inequalities in tobacco use to gaps in socioeconomic status between groups. Marginalization-related diminished returns generate tobacco disparities in higher socioeconomic status levels. Middle-class racial and ethnic minority people need extra support to stay healthy.
| S-EPMC7153780 | biostudies-literature
Project description:BackgroundInfluenza hospitalizations result in substantial morbidity and mortality each year. Little is known about the association between influenza hospitalization and census tract-based socioeconomic determinants beyond the effect of individual factors.ObjectiveTo evaluate whether census tract-based determinants such as poverty and household crowding would contribute significantly to the risk of influenza hospitalization above and beyond individual-level determinants.MethodsWe analyzed 33 515 laboratory-confirmed influenza-associated hospitalizations that occurred during the 2009-2010 through 2013-2014 influenza seasons using a population-based surveillance system at 14 sites across the United States.ResultsUsing a multilevel regression model, we found that individual factors were associated with influenza hospitalization with the highest adjusted odds ratio (AOR) of 9.20 (95% CI 8.72-9.70) for those ?65 vs 5-17 years old. African Americans had an AOR of 1.67 (95% CI 1.60-1.73) compared to Whites, and Hispanics had an AOR of 1.21 (95% CI 1.16-1.26) compared to non-Hispanics. Among census tract-based determinants, those living in a tract with ?20% vs <5% of persons living below poverty had an AOR of 1.31 (95% CI 1.16-1.47), those living in a tract with ?5% vs <5% of persons living in crowded conditions had an AOR of 1.17 (95% CI 1.11-1.23), and those living in a tract with ?40% vs <5% female heads of household had an AOR of 1.32 (95% CI 1.25-1.40).ConclusionCensus tract-based determinants account for 11% of the variability in influenza hospitalization.
| S-EPMC5720587 | biostudies-literature
Project description:Background Atherosclerotic cardiovascular disease (ASCVD) results in high out-of-pocket healthcare expenditures predisposing to food insecurity. However, the burden and determinants of food insecurity in this population are unknown. Methods and Results Using 2013 to 2018 National Health Interview Survey data, we evaluated the prevalence and sociodemographic determinants of food insecurity among adults with ASCVD in the United States. ASCVD was defined as self-reported diagnosis of coronary heart disease or stroke. Food security was measured using the 10-item US Adult Food Security Survey Module. Of the 190 113 study participants aged 18 years or older, 18 442 (adjusted prevalence 8.2%) had ASCVD, representing ≈20 million US adults annually. Among adults with ASCVD, 2968 or 14.6% (weighted ≈2.9 million US adults annually) reported food insecurity compared with 9.1% among those without ASCVD (P<0.001). Individuals with ASCVD who were younger (odds ratio [OR], 4.0 [95% CI, 2.8-5.8]), women (OR, 1.2 [1.0-1.3]), non-Hispanic Black (OR, 2.3 [1.9-2.8]), or Hispanic (OR, 1.6 [1.2-2.0]), had private (OR, 1.8 [1.4-2.3]) or no insurance (OR, 2.3 [1.7-3.1]), were divorced/widowed/separated (OR, 1.2 [1.0-1.4]), and had low family income (OR, 4.7 [4.0-5.6]) were more likely to be food insecure. Among those with ASCVD and 6 of these high-risk characteristics, 53.7% reported food insecurity and they had 36-times (OR, 36.2 [22.6-57.9]) higher odds of being food insecure compared with those with ≤1 high-risk characteristic. Conclusion About 1 in 7 US adults with ASCVD experience food insecurity, with more than 1 in 2 adults reporting food insecurity among the most vulnerable sociodemographic subgroups. There is an urgent need to address the barriers related to food security in this population.
| S-EPMC8475063 | biostudies-literature
Project description:This study aims to describe the sociodemographic determinants associated with exposure to Zika Virus (ZIKV) in pregnant women during the 2015-2016 epidemic in Salvador, Brazil.MethodsWe recruited women who gave birth between October 2015 and January 2016 to a cross-sectional study at a referral maternity hospital in Salvador, Brazil. We collected information on their demographic, socioeconomic, and clinical characteristics, and evaluated their ZIKV exposure using a plaque reduction neutralization test. Logistic regression was then used to assess the relationship between these social determinants and ZIKV exposure status.ResultsWe included 469 pregnant women, of whom 61% had a positive ZIKV result. Multivariate analysis found that lower education (adjusted Prevalence Rate [aPR] 1.21; 95%CI 1.04-1.35) and food insecurity (aPR 1.17; 95%CI 1.01-1.30) were positively associated with ZIKV exposure. Additionally, age was negatively associated with the infection risk (aPR 0.99; 95%CI 0.97-0.998).ConclusionEve after controlling for age, differences in key social determinants, as education and food security, were associated with the risk of ZIKV infection among pregnant women in Brazil. Our findings elucidate risk factors that can be targeted by future interventions to reduce the impact of ZIKV infection in this vulnerable population.
| S-EPMC8323902 | biostudies-literature
Project description:BackgroundFew studies have evaluated whether pandemic-related stressors, worries, and social distancing have affected the mental health of pregnant women during the COVID-19 pandemic.MethodsData came from an online survey of United States pregnant women (n = 715), conducted in May 2020. The Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder Scale were used to assess depressive symptoms, thoughts of self-harm, and moderate or severe anxiety. Multiple logistic regressions were used to examine the associations of COVID-19 experiences with mental health outcomes.ResultsParticipants were racially diverse. The prevalence of adverse mental health outcomes was 36% for probable depression, 20% for thoughts of self-harm, and 22% for anxiety. Women who reported family members dying from COVID-19 had four times higher odds of having thoughts of self-harm than women who did not experience family death. Depression was more prevalent among women who canceled or reduced medical appointments. Women were more likely to have worse mental health outcomes if they expressed worry about getting financial or emotional/social support, about their pregnancy, or about family or friends. Strict social distancing was positively associated with depression. A higher proportion of adults working from home was inversely associated with depression and thoughts of self-harm.ConclusionHigh percentages of pregnant women had symptoms of depression or anxiety, suggesting an urgent need to screen and treat mental health conditions among pregnant women during the pandemic. Pandemic-related risks and protective factors are relevant to developing tailored interventions to address the mental health of pregnant women during pandemic circumstances.
| S-EPMC8239832 | biostudies-literature