Widening Disparities in COVID-19 Mortality and Life Expectancy Among 15 Major Racial and Ethnic Groups in the United States, 2020-2021.

Persistent and often widening racial/ethnic and socioeconomic inequalities in health have long existed in the US. Although racial/ethnic disparities in COVID-19 mortality are well documented, COVID-19 mortality risks and resultant reductions in life expectancy during the pandemic for detailed racial and ethnic groups in the US, including Asian and Hispanic subgroups, are not known. We used 2020-2021 US mortality data to estimate age-adjusted COVID-19 mortality rates, life expectancy, and the consequent declines in life expectancy due to COVID-19 overall and for the 15 largest racial/ethnic groups. We used standard life table methodology, cause-elimination life tables, and inequality indices to analyze trends in racial/ethnic disparities. The number of COVID-19 deaths increased from 350,827 in 2020 to 416,890 in 2021. COVID-19 death rates varied 7-fold among the racial/ethnic groups; Japanese and Chinese had the lowest mortality rates and Mexicans and American Indians/Alaska Natives (AIANs) had the highest rates. In 2021, life expectancy ranged from 70.3 years for Blacks and 70.6 years for AIANs to 85.2 years for Japanese and 87.7 years for Chinese. The life-expectancy gap was wide- 22.4 years in 2020 and 23.2 years in 2021. COVID-19 mortality had the greatest impact in reducing the life expectancy of Mexicans (3.53 years in 2020 and 3.78 years in 2021), Central/South Americans (4.86 years in 2020 and 3.50 years in 2021), and AIANs (2.51 years in 2020 and 2.38 years in 2021). Racial/ethnic inequalities in COVID-19 mortality, life expectancy, and resultant reductions in life expectancy during the pandemic widened between 2020 and 2021.

The Impact of Telemedicine Parity Requirements on Telehealth Utilization in the United States During the COVID-19 Pandemic.

BACKGROUND: Research has shown a dramatic increase in telehealth utilization during the COVID-19 pandemic and marked socioeconomic disparities in telehealth utilization. However, previous studies have shown discrepant findings on the association between the state's telehealth payment parity laws and telehealth utilization, and dearth of differential impact studies by subgroups. METHODS: Using a nationally representative Household Pulse Survey from April 2021 to August 2022 and the logistic regression modeling, we estimated the impact of parity payment laws on overall, video, and phone telehealth utilization and related disparities by race and ethncity during the pandemic. RESULTS: We found that adults in parity states had 23% higher odds of telehealth utilization (odds ratio [OR] = 1.23; 95% confidence interval [CI], 1.14-1.33) and 124% higher odds of video telehealth utilization (OR = 2.24; 95% CI, 1.95-2.57) than their counterparts in nonparity states. In parity states, non-Hispanic White adults had 24% higher odds of telehealth utilization (OR = 1.24; 95% CI: 1.14, 1.35) and non-Hispanic Black adults had 31% higher odds of telehealth utilization (OR = 1.31; 95% CI: 1.03, 1.65), compared with those in nonparity states. For Hispanics, non-Hispanic Asians, and non-Hispanic other races, there was not a statistically significant effect of parity act on overall telehealth utilization. CONCLUSIONS: Given inequalities in telehealth utilization, increased state policy efforts are needed to reduce access disparities during the ongoing pandemic and beyond.

The Differential Impact of the COVID-19 Pandemic on Prenatal Care Utilization Among US Women by Medicaid Expansion and Race and Ethnicity.

BACKGROUND: The 2014 Medicaid expansion improved racial and ethnic equity in insurance coverage and access to maternal care among women of reproductive age. This study examines differential effects of the COVID-19 pandemic on prenatal care utilization by Medicaid expansion and by race and ethnicity. METHODS: Using the pooled 2019-2020 National Natality file (N = 7 361 190), logistic regression was used to estimate the effect of COVID-19 on prenatal care utilization among US women aged 10 to 54 years after controlling for maternal age, race, ethnicity, marital status, parity, nativity/immigrant status, education, payment type, and smoking during pregnancy. Outcome measures were having no care and delayed prenatal care (third trimester or no care). Stratified models by race/ethnicity and Medicaid expansion status yielded the differential effects of COVID-19 on prenatal care utilization. RESULTS: During the COVID-19 pandemic, the adjusted odds of having no prenatal care decreased by 4% (adjusted odds ratio [AOR] = 0.96; 95% confidence interval [CI], 0.94-0.97) in expansion states but increased by 13% (AOR = 1.13; 95% CI, 1.11-1.15) in nonexpansion states. While most racial and ethnic groups in expansion states experienced a decrease in having no prenatal care, the adjusted odds of having no prenatal care increased by 15% for non-Hispanic Whites, 9% for non-Hispanic Blacks, 33% for American Indians/Alaska Natives, 25% for Asian/Pacific Islanders, and 13% for Hispanics in nonexpansion states. Women in expansion states experienced no change in delayed prenatal care during the pandemic, but women in nonexpansion states experienced an increase in delayed care. CONCLUSIONS: Prenatal care utilization decreased during the pandemic among women in nonexpansion states, particularly for American Indians/Alaska Natives and Asian/Pacific Islanders, compared with expansion states.

Housing and Inequalities in US Life Expectancy, Child and Youth Mortality, and All-Cause and Cause-Specific Mortality, 1979-2020: Results from the National Longitudinal Mortality Study and the National Vital Statistics System.

Background: Limited research exists on the association between housing, life expectancy, and mortality disparities in the United States (US). Using longitudinal individual-level and pooled county-level mortality data from 1979 to 2020, we examine disparities in life expectancy, child and youth mortality, and all-cause and cause-specific mortality in the US by several housing variables. Methods: Using the 1979-2011 National Longitudinal Mortality Study (N=1,313,627) and the 2011-2020 linked county-level National Mortality Database and American Community Survey, we analyzed disparities in life expectancy and all-cause and cause-specific disparities by housing tenure, household crowding, and housing stability. Multivariate Cox proportional hazards regression was used to analyze individual-level mortality differentials by housing tenure. Age-adjusted mortality rates and rate ratios were used to analyze area-level disparities in mortality by housing variables. Results: US homeowners had, on average, a 3.5-year longer life expectancy at birth than renters (74.22 vs. 70.76 years), with advantages in longevity associated with homeownership being greater for males than for females; for American Indians/Alaska Natives, non-Hispanic Whites, and non-Hispanic Blacks than for Asian/Pacific islanders and Hispanics; and for the US-born than for immigrants. Compared with renters, homeowners had 22% lower risks of all-cause mortality, 15% lower child mortality, 17% lower youth mortality, and significantly lower mortality from cardiovascular diseases, all cancers combined, stomach, liver, esophageal and cervical cancer, diabetes, influenza and pneumonia, COPD, cirrhosis, kidney disease, HIV/AIDS, infectious diseases, unintentional injuries, suicide, and homicide. Conclusion and Global Health Implications: Several aspects of housing are strongly associated with life expectancy, child and youth mortality, and all-cause and cause-specific mortality in the US. Policies that aim to provide well-designed, accessible, and affordable housing to residents of both developed and developing countries are important policy options for addressing one of the most fundamental determinants of health for disadvantaged individuals and communities and for reducing health inequities globally.

Marked Disparities in COVID-19 Vaccination among US Children and Adolescents by Racial/Ethnic, Socioeconomic, Geographic, and Health Characteristics, United States, December 2021 - April 2022.

Background: The COVID-19 pandemic has had a substantial adverse impact on the health and well-being of populations in the United States (US) and globally. Although COVID-19 vaccine disparities among US adults aged ≥18 years are well documented, COVID-19 vaccination inequalities among US children are not well studied. Using the recent nationally representative data, we examine disparities in COVID-19 vaccination among US children aged 5-17 years by a wide range of social determinants and parental characteristics. Methods: Using the US Census Bureau's Household Pulse Survey from December 1, 2021 to April 11, 2022 (N=86,335), disparities in child vaccination rates by race/ethnicity, socioeconomic status, health insurance, parental vaccination status, parental COVID-19 diagnosis, and metropolitan area were modeled by multivariate logistic regression. Results: During December 2021-April 2022, an estimated 40.1 million or 57.2% of US children aged 5-17 received COVID-19 vaccination. Vaccination rates were lowest among children of parents aged 25-34 (34.9%) and highest among children of parents aged 45-54 (69.2%). Children of non-Hispanic Black parents, divorced/separated and single individuals, parents with lower education and household income levels, renters, not-employed parents, the uninsured, and parents without COVID-19 vaccination or with COVID-19 diagnoses had significantly lower rates of vaccination. Controlling for covariates, Asian and Hispanic children aged 5-17 had 134% and 47% higher odds of receiving vaccination than their non-Hispanic White counterparts. Children of parents with a high school education had 47% lower adjusted odds of receiving vaccination than children of parents with a master's degree or higher. Children with annual household income <$25,000 had 48% lower adjusted odds of vaccination than those with income ≥$200,000. Although vaccination rates were higher among children aged 12-17 than among children aged 5-11, sociodemographic patterns in vaccination rates were similar. Parental vaccination status was the strongest predictor of children's vaccination status. Vaccination rates for children aged 5-17 ranged from 49.6% in Atlanta, Georgia to 82.6% in San Francisco, California. Conclusion and Global Health Implications: Ethnic minorities, socioeconomically-disadvantaged children, uninsured children, and children of parents without COVID-19 vaccination or with COVID-19 diagnoses had significantly lower vaccination rates. Equitable vaccination coverage among children and adolescents is critical to reducing inequities in COVID-19 health outcomes in the US and globally.

Food Insecurity-Related Interventions and Mental Health Among US Adults During the COVID-19 Pandemic, April 2020 through August 2021.

OBJECTIVES: Financial hardships, job losses, and social isolation during the COVID-19 pandemic have increased food insecurity. We examined associations between food insecurity-related interventions and mental health among US adults aged ≥18 years from April 2020 through August 2021. METHODS: We pooled data from the Household Pulse Survey from April 2020 through August 2021 (N = 2 253 567 adults). To estimate associations between mental health and food insecurity, we examined the following interventions: the Supplemental Nutrition Assistance Program (SNAP), Economic Impact Payments (stimulus funds), unemployment insurance, and free meals. We calculated psychological distress index (PDI) scores (Cronbach α = 0.91) through principal components analysis using 4 mental health variables: depression, anxiety, worry, and lack of interest (with a standardized mean score [SD] = 100 [20]). We conducted multivariable linear regression to estimate the interactive effects of the intervention and food insecurity on psychological distress, controlling for sociodemographic characteristics. RESULTS: During the study period, adults with food insecurity had higher mean PDI scores than adults without food insecurity. Food insecurity was associated with increased PDI scores after controlling for sociodemographic characteristics. In stratified models, negative associations between food insecurity and mental health (as shown by reductions in PDI scores) were mitigated by SNAP (-4.5), stimulus fund (-4.1), unemployment insurance (-4.4), and free meal (-4.4) interventions. The mitigation effects of interventions on PDI were greater for non-Hispanic White adults than for non-Hispanic Black or Asian adults. CONCLUSIONS: Future research on food insecurity and mental health should include investigations on programs and policies that could be of most benefit to racial and ethnic minority groups.

Contributions of Socioeconomic, Demographic, and Behavioral Risk Factors to All-Cause Mortality Disparities by Psychological Distress in the United States: A Blinder-Oaxaca Decomposition Analysis of Longitudinal Data.

Background: Previous research has shown a significant association between psychological distress (PD) and all-cause mortality. However, there is a dearth of studies quantifying the contributions of sociodemographic and behavioral characteristics to group differences in mortality. In this study, we identify factors of mortality differences by PD. Methods: The Blinder-Oaxaca decomposition analysis was used to quantify the contributions of individual sociodemographic and behavioral characteristics to the observed mortality differences between United States (US) adults with no PD and those with serious psychological distress (SPD), using the pooled data from the 1997-2014 National Health Interview Survey prospectively linked to the 1997-2015 National Death Index (N = 263,825). Results: Low educational level, low household income, and high proportions of current smokers, renters, former drinkers, and adults experiencing marital dissolution contributed to high all-cause mortality among adults with SPD. The relative percentage of all-cause mortality disparity explained by socioeconomic and demographic factors was 38.86%. Approximately 47% of the mortality disparity was attributed to both sociodemographic and behavioral risk factors. Lower educational level (21.13%) was the top contributor to higher all-cause mortality among adults with SPD, followed by smoking status (13.51%), poverty status (11.77%), housing tenure (5.11%), alcohol consumption (4.82%), marital status (3.61%), and nativity/immigrant status (1.95%). Age, sex, and body mass index alleviated all-cause mortality risk among adults with SPD. Conclusions and Global Health Implications: Improved education and higher income levels, and reduced smoking among US adults with SPD might eliminate around half of the all-cause mortality disparity by SPD. Such a policy strategy might lead to reductions in mental health disparities and adverse health impacts both in the US and globally.

Monthly trends in self-reported health status and depression by race/ethnicity and socioeconomic status during the COVID-19 Pandemic, United States, April 2020 - May 2021.

PURPOSE: Research has shown worsening physical and mental health outcomes during the COVID-19 pandemic. Trends in general and mental health inequalities during the pandemic in the US have not been analyzed in detail. METHODS: Using Census Bureau's nationally representative pooled Household Pulse Survey (HPS) from April 2020 to May 2021 (N = 1,144,405), we examined monthly trends and disparities in health status by race/ethnicity and socioeconomic status (SES). Logistic regression models and disparity indices were used to analyze trends and inequalities. RESULTS: During the pandemic, the adjusted odds of fair and/or poor health were, respectively, 33%, 157%, 398%, 22% higher for non-Hispanic others, adults with

Prevalence and Social and Built Environmental Determinants of Maternal Prepregnancy Obesity in 68 Major Metropolitan Cities of the United States, 2013-2016.

Objective: Maternal prepregnancy obesity is related to increased maternal morbidity and mortality and poor birth outcomes. However, prevalence and risk factors for prepregnancy obesity in US cities are not known. This study examines the prevalence and social and environmental determinants of maternal prepregnancy obesity (BMI ≥30), overweight/obesity (BMI ≥25), and severe obesity (BMI ≥40) in the 68 largest metropolitan cities of the United States. Methods: We fitted logistic and Poisson regression models to the 2013-2016 national vital statistics birth cohort data (N = 3,083,600) to derive unadjusted and adjusted city differentials in maternal obesity and to determine social and environmental determinants. Results: Considerable disparities existed across cities, with the prevalence of prepregnancy obesity ranging from 10.4% in San Francisco to 36.6% in Detroit. Approximately 63.0% of mothers in Detroit were overweight or obese before pregnancy, compared with 29.2% of mothers in San Francisco. Severe obesity ranged from 1.4% in San Francisco to 8.5% in Cleveland. Women in Anchorage, Buffalo, Cleveland, Fresno, Indianapolis, Louisville, Milwaukee, Oklahoma City, Sacramento, St Paul, Toledo, Tulsa, and Wichita had >2 times higher adjusted odds of prepregnancy obesity compared to those in San Francisco. Race/ethnicity, maternal age, parity, marital status, nativity/immigrant status, and maternal education were important individual-level risk factors and accounted for 63%, 39%, and 72% of the city disparities in prepregnancy obesity, overweight/obesity, and severe obesity, respectively. Area deprivation, violent crime rates, physical inactivity rates, public transport use, and access to parkland and green spaces remained significant predictors of prepregnancy obesity even after controlling for individual-level covariates. Conclusions: Substantial disparities in maternal prepregnancy obesity among the major US cities remain despite risk-factor adjustment, with women in several Southern and Midwestern cities experiencing high risks of obesity. Sound urban policies are needed to promote healthier lifestyles and favorable social and built environments for obesity reduction and improved maternal health.

Marked Disparities in Life Expectancy by Education, Poverty Level, Occupation, and Housing Tenure in the United States, 1997-2014.

OBJECTIVES: Socioeconomic disparities in life expectancy in the United States (US) are marked and have widened over time. However, there is limited research using individual-level socioeconomic variables as such information is generally lacking or unreliable in vital records used for life table construction. Using longitudinal cohort data, we computed life expectancy for US adults by social determinants such as education, income/poverty level, occupation, and housing tenure. METHODS: We analyzed the 1997-2014 National Health Interview Survey prospectively linked to mortality records in the National Death Index (N=1,146,271). Standard life table methodologies were used to compute life expectancy and other life table functions at various ages according to socioeconomic variables stratified by sex and race/ethnicity. RESULTS: Adults with at least a Master's degree had 14.7 years higher life expectancy at age 18 than those with less than a high school education and 8.3 years higher life expectancy than those with a high school education. Poverty was inversely related to life expectancy. Individuals living in poverty had 10.5 years lower life expectancy at age 18 than those with incomes ≥400% of the poverty threshold. Laborers and those employed in craft and repair occupations had, respectively, 10.9 years and 8.6 years lower life expectancy at age 18 than those with professional and managerial occupations. Male and female renters had, respectively, 4.0 years and 4.6 years lower life expectancy at age 18 than homeowners. Women in the most advantaged socioeconomic group outlived men in the most disadvantaged group by 23.5 years at age 18. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: Marked socioeconomic gradients in US life expectancy were found across all sex and racial/ethnic groups. Adults with lower education, higher poverty levels, in manual occupations, and with rental housing had substantially lower life expectancy compared to their counterparts with higher socioeconomic position.

Trends and Social Inequalities in Maternal Mortality in the United States, 1969-2018.

BACKGROUND: Despite the previous long-term decline and a recent increase in maternal mortality, detailed social inequalities in maternal mortality in the United States (US) have not been analyzed. This study examines trends and inequalities in US maternal mortality by maternal race/ethnicity, socioeconomic status, nativity/immigrant status, marital status, area deprivation, urbanization level, and cause of death. METHODS: National vital statistics data from 1969 to 2018 were used to compute maternal mortality rates by sociodemographic factors. Mortality trends by deprivation level were analyzed by using census-based deprivation indices. Rate ratios and log-linear regression were used to model mortality trends and differentials. RESULTS: Maternal mortality declined by 68% between 1969 and 1998. However, there was a recent upturn in maternal mortality, with the rate increasing from 9.9 deaths/100,000 live births in 1999 to 17.4 in 2018. The large racial disparity persisted over time; Black women in 2018 had a 2.4 times higher risk of maternal mortality than White women. During 2013-2017, the rate varied from 7.0 for Chinese women to 42.0 for non-Hispanic Black women. Unmarried status, US-born status, lower education, and rural residence were associated with 50-114% higher maternal mortality risks. Mothers in the most-deprived areas had a 120% higher risk of mortality than those in the most-affluent areas; both absolute and relative disparities in mortality by deprivation level widened between 2002 and 2018. Hemorrhage, pregnancy-related hypertension, embolism, infection, and chronic conditions were the leading causes of maternal death, with 31% of the deaths attributable to indirect obstetric causes. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: Despite the steep long-term decline in US maternal mortality, substantial racial/ethnic, socioeconomic, and rural-urban disparities remain. Monitoring disparities according to underlying social determinants is key to reducing maternal mortality as they give rise to inequalities in social conditions and health-risk factors that lead to maternal morbidity and mortality.

Trends and Racial/Ethnic, Socioeconomic, and Geographic Disparities in Maternal Mortality from Indirect Obstetric Causes in the United States, 1999-2017.

BACKGROUND: This study examines trends and inequalities in US maternal mortality from indirect obstetric causes (ICD-10 codes: O98-O99) and specific chronic conditions by maternal race/ethnicity, socioeconomic status, nativity/immigrant status, marital status, place and region of residence, and cause of death. METHODS: National vital statistics data from 1999 to 2017 were used to compute maternal mortality rates by sociodemographic factors. Rate ratios and log-linear regression were used to model mortality trends and differentials. RESULTS: During 1999-2017, maternal mortality from indirect causes showed an upward trend; the annual rates increased by 11.2% for the overall population, 12.9% for non-Hispanic Whites, and 9.4% for non-Hispanic Blacks. The proportion of all maternal deaths due to indirect causes increased from 12.0% in 1999 to 26.9% in 2017. Maternal mortality from CVD increased sharply over time, from 0.40/100,000 live births in 1999 to 1.82 in 2017. During 2013-2017, compared to non-Hispanic Whites, non-Hispanic Blacks had 83% higher, Hispanics 51% lower, and Asian/Pacific Islanders 55% lower mortality from indirect causes. Non-Hispanic White women with <12 years of education had 4.4 times higher mortality than those with a college degree. Unmarried, US-born, and women living in rural areas and deprived areas had 90%, 80%, 60%, and 97% higher maternal mortality risks than married, immigrant, and women in urban areas and affluent areas, respectively. Maternal mortality from infectious diseases, including HIV, was 4.1 times greater and from respiratory diseases 2.9 greater among non-Hispanic Black women compared to non-Hispanic White women. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: While maternal mortality from direct obstetric causes has declined during the past two decades, maternal deaths due to indirect causes, particularly from pre-existing medical conditions, including CVD and metabolic disorders, have increased. Understanding complex interactions among social determinants, indirect causes, and proximate/direct causes is important to reducing maternal mortality and improving maternal health.

Inequalities in Life Expectancy and All-Cause Mortality in the United States by Levels of Happiness and Life Satisfaction: A Longitudinal Study.

BACKGROUND: Despite having one of the highest Gross Domestic Product (GDP) per capita levels, United States (US) ranks lower in subjective well-being, including happiness and life satisfaction, compared with European countries. Studies of the impact of happiness and life satisfaction on life expectancy and mortality in the US are limited or non-existent. Using a national longitudinal dataset, we examined the association between levels of happiness/life satisfaction and US life expectancy and all-cause mortality. METHODS: We analyzed the 2001 National Health Interview Survey (NHIS) prospectively linked to 2001-2014 mortality records in the National Death Index (NDI) (N=30,377). Cox proportional hazards regression was used to model survival time as a function of happiness, life satisfaction, and sociodemographic and behavioral covariates. RESULTS: Life expectancies at age 18 among adults with high levels of happiness and life satisfaction were, respectively, 7.5 and 8.9 years higher compared to those with low levels of happiness and life satisfaction. In Cox models with 14 years of mortality follow-up, all-cause mortality risk was 82% higher (hazard ratio [HR]=1.82; 95% CI=1.59,2.08) in adults with little or no happiness, controlling for age, and 36% higher (HR=1.36; 95% CI=1.17,1.57) in adults with little/no happiness, controlling for sociodemographic, behavioral and health characteristics, when compared with adults reporting happiness all of the time. Mortality risk was 107% higher (HR=2.07; 95% CI=1.80,2.38) in adults who were very dissatisfied with their life, controlling for age, and 39% higher (HR=1.39; 95% CI=1.20,1.60) in adults who were very dissatisfied, controlling for all covariates, when compared with adults who were very satisfied. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: Adults with higher happiness and life satisfaction levels had significantly higher life expectancy and lower all-cause mortality risks than those with lower happiness and satisfaction levels. These findings underscore the significance of addressing subjective well-being in the population as a strategy for reducing all-cause mortality.

Social Determinants of Health Associated with Mental Health Among U.S. Mothers with Children Aged 0-5 Years.

Background: Maternal mental illness is a significant public health problem during the perinatal period and beyond. Little is known about how social determinants of health (SDOH) affect maternal mental health. Materials and Methods: We used cross-sectional data from the 2016 to 2017 National Survey of Children's Health with 19,127 mothers of a nationally representative sample of U.S. children aged 0-5. We estimated the prevalence of poor reported mental health (reported as "fair"/"poor") among mothers with children aged 0-5 by SDOH. Multivariable logistic regression was used to examine factors associated with poor maternal mental health. Results: Approximately 4.5% of mothers with children aged 0-5 reported having poor mental health in 2016-2017. Postadjustment and mothers' poor mental health were significantly associated with age (adjusted odds ratio [AOR]: 18-20 years: 2.77, 95% confidence interval [CI]: 1.35-5.67; 21-24 years AOR: 2.14, 95% CI: 1.22-3.73, and 30-34 years AOR: 1.97, 95% CI: 1.13-3.43), U.S.-born status (AOR: 2.31, 95% CI: 1.48-3.63), poor physical health (AOR: 8.69, 95% CI: 5.81-13.02), having a child with a special health care need (AOR: 1.65, 95% CI: 1.03-2.64), experiencing food insecurity (afford enough food, yet, unhealthy [AOR: 2.74, 95% CI: 1.59-4.70] and sometimes/often not afford enough food [AOR: 3.20, 95% CI: 1.76-5.84]), and low social capital (AOR: 1.97, 95% CI: 1.04-3.73). Conclusion: Mothers with children aged 0-5 who had poor physical health and experienced food insecurity were at the greatest risk for poor mental health. Integrated perinatal and behavioral health models, screening, and referrals may help identify and treat mothers experiencing these issues.

Opioid Epidemic in the United States: Empirical Trends, and A Literature Review of Social Determinants and Epidemiological, Pain Management, and Treatment Patterns.

OBJECTIVES: Dramatic increases in opioid and drug overdose mortality have occurred in the United States (US) over the past two decades. To address this national public health crisis and identify gaps in the literature, we analyzed recent empirical trends in US drug overdose mortality by key social determinants and conducted a selective review of the recent literature on the magnitude of the opioid crisis facing different racial/ethnic, socioeconomic, and rural-urban segments of the US population. METHODS: We used the 1999-2017 mortality data from the US National Vital Statistics System to analyze trends in drug overdose mortality by race/ethnicity, age, and geographic area. Log-linear regression was used to model mortality trends. Using various key words and their combinations, we searched PubMed and Google Scholar for select peer-reviewed journal articles and government reports published on the opioid epidemic between 2010 and 2018. RESULTS: Our original analysis and review indicate marked increases in drug overdose mortality overall and by race/ethnicity and geographic regions, with adolescents and young adults experiencing steep increases in mortality between 1999 and 2017. Our selective search yielded 405 articles, of which 39 publications were selected for detailed review. Suicide mortality from drug overdose among teens aged 12-19 increased consistently between 2009 and 2017, particularly among teen girls. The rise of efficient global supply chains has increased opioid prescription use and undoubtedly contributed to the opioid epidemic. Many other important contributing factors to the epidemic include lack of education and economic opportunities, poor working conditions, and low social capital in disadvantaged communities. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: Our analysis and review indicate substantial disparities in drug overdoses and related mortality, pain management, and treatment outcomes according to social determinants. Increases in drug overdoses and resultant mortality are not only unique to the US, but have also been observed in other industrialized countries. Healthcare systems, community leaders, and policymakers addressing the opioid epidemic should focus on upstream structural factors including education, economic opportunity, social cohesion, racial/ethnic disadvantage, geographic isolation, and life satisfaction.

Father's Health Status and Inequalities in Physical and Mental Health of U.S. Children: A Population-Based Study.

Introduction: Father-and-child-health risk relationship is poorly studied and understood. We examine the impact of father's physical and mental health status and sociodemographic characteristics on the physical and mental outcomes of U.S. children 0-17 years of age. Methods: The 2011-2012 National Survey of Children's Health (N=75,879) was analyzed to estimate prevalence and odds of poor physical and mental health among children according to father's physical and mental health status and sociodemographic characteristics. Results: Overall, 3.2% of U.S. children had poor physical health; and 6.0% of U.S. children had emotional or behavioral problems. The adjusted odds of having poor overall health was 3.1 times higher among children of fathers with poor overall health. Children of fathers with poor mental health had 2.6 times higher adjusted odds of having poor mental health. Discussion: Results underscore the significant role of fathers in the physical and mental well-being of children. Engaging fathers in child health may provide a potential opportunity to reduce mental and emotional health problems among children.

Infant Mortality in the United States, 1915-2017: Large Social Inequalities have Persisted for Over a Century.

OBJECTIVES: We examined trends in racial/ethnic, socioeconomic, and geographic disparities in age- and cause-specific infant mortality in the United States during 1915-2017. METHODS: Log-linear regression and inequality indices were used to analyze temporal infant mortality data from the National Vital Statistics System and the National Linked Birth/Infant Death files according to maternal and infant characteristics. RESULTS: During 1915-2017, the infant mortality rate (IMR) declined dramatically overall and for black and white infants; however, black/white disparities in mortality generally increased through 2000. Racial disparities were greater in post-neonatal mortality than neonatal mortality. Detailed racial/ethnic comparisons show an approximately five-fold difference in IMR, ranging from a low of 2.3 infant deaths per 1,000 live births for Chinese infants to a high of 8.5 for American Indian/Alaska Natives and 11.2 for black infants. Infant mortality from major causes of death showed a downward trend during the past 5 decades although there was a recent upturn in mortality from prematurity/low birthweight and unintentional injury. In 2016, black infants had 2.5-2.8 times higher risk of mortality from perinatal conditions, sudden infant death syndrome, influenza/pneumonia, and unintentional injuries, and 1.3 times higher risk of mortality from birth defects compared to white infants. Educational disparities in infant mortality widened between 1986 and 2016; mothers with less than a high school education in 2016 experienced 2.4, 1.9, and 3.7 times higher risk of infant, neonatal, and post-neonatal mortality than those with a college degree. Geographic disparities were marked and widened across regions, with states in the Southeast region having higher IMRs. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS: Social inequalities in infant mortality have persisted and remained marked, with the disadvantaged ethnic and socioeconomic groups and geographic areas experiencing substantially increased risks of mortality despite the declining trend in mortality over time. Widening social inequalities in infant mortality are a major factor contributing to the worsening international standing of the United States.

Marked Disparities in Pre-Pregnancy Obesity and Overweight Prevalence among US Women by Race/Ethnicity, Nativity/Immigrant Status, and Sociodemographic Characteristics, 2012-2014.

This study examines racial/ethnic, nativity, and sociodemographic disparities in the prevalence of pre-pregnancy obesity and overweight in the United States. Logistic regression was fitted to the 2012-2014 national birth cohort data to derive unadjusted and adjusted differentials in pre-pregnancy obesity (BMI ≥30), severe obesity (BMI ≥40), and overweight/obesity (BMI ≥25) prevalence among 10.4 million US women of childbearing age. Substantial racial/ethnic differences existed, with pre-pregnancy obesity rates ranging from 2.6% for Chinese and 3.3% for Vietnamese women to 34.9% for American Indians/Alaska Natives (AIANs) and 60.2% for Samoans. Pre-pregnancy overweight/obese prevalence ranged from 13.6% for Chinese women to 61.7% for AIANs and 86.3% for Samoans. Compared to non-Hispanic whites, women in all Asian subgroups had markedly lower risks of pre-pregnancy obesity, severe obesity, and overweight/obesity, whereas Samoans, Hawaiians, AIANs, blacks, Mexicans, Puerto Ricans, and Central/South Americans had significantly higher risks. Immigrant women in each racial/ethnic group had lower rates of pre-pregnancy obesity than the US-born. Sociodemographic risk factors accounted for 33-47% of racial/ethnic disparities and 12-16% of ethnic-immigrant disparities in pre-pregnancy obesity and overweight/obesity. Further research is needed to assess the effects of diet, physical inactivity, and social environments in explaining the reported ethnic and nativity differences in pre-pregnancy obesity.

Women from racial or ethnic minority and low socioeconomic backgrounds receive more prenatal education: Results from the 2012 to 2014 Pregnancy Risk Assessment Monitoring System.

BACKGROUND: Racial or ethnic and socioeconomic disparities in adverse birth outcomes are well known, but few studies have examined disparities in the receipt of prenatal health education. The objectives of this study were to examine racial or ethnic and socioeconomic variations in receiving (1) comprehensive prenatal health education and (2) education about human immunodeficiency virus (HIV) testing, breastfeeding, alcohol, and smoking cessation from health care practitioners. METHODS: Data were drawn from the 2012 to 2014 Pregnancy Risk Assessment Monitoring System (PRAMS). Twenty-seven states were included with an analysis sample size of 68 025 participants. Receiving counseling on all listed health topics during prenatal care visits was denoted as comprehensive prenatal health education. Logistic regression was used to examine the association of racial or ethnic and socioeconomic variables with receiving comprehensive prenatal health education, and HIV testing, breastfeeding, alcohol, and smoking cessation advice separately. RESULTS: Multivariable results showed that racial or ethnic minorities and women with a high school degree or less; receiving Women, Infant, and Children (WIC) assistance; and on Medicaid during pregnancy have higher odds of receiving comprehensive prenatal health education (all P  ≤0 .001). Results were similar for receiving HIV testing, breastfeeding, alcohol, and smoking counseling. Low household income was associated with receiving counseling on HIV testing, alcohol, and smoking (all P ≤ 0.001). CONCLUSION: Despite reporting higher levels of prenatal health education on a variety of health-related topics, disadvantaged women continue to experience disparities in adverse birth outcomes suggesting that education is insufficient in promoting positive behaviors and birth outcomes.