Social Determinants of Health Among American Indians and Alaska Natives and Tribal Communities: Comparison with Other Major Racial and Ethnic Groups in the United States, 1990-2022.

Background and Objective: Limited research exists on health inequities between American Indians and Alaska Natives (AIANs), tribal communities, and other population groups in the United States. To address this gap in research, we conducted time-trend analyses of social determinants of health and disease outcomes for AIANs as a whole and specific tribal communities and compared them with those from the other major racial/ethnic groups. Methods: We used data from the 1990-2022 National Vital Statistics System, 2015-2022 American Community Survey, and the 2018-2020 Behavioral Risk Factor Surveillance System to examine socioeconomic, health, disability, disease, and mortality patterns for AIANs. Results: In 2021, life expectancy at birth was 70.6 years for AIANs, lower than that for Asian/Pacific Islanders (APIs) (84.1), Hispanics (78.8), and non-Hispanic Whites (76.3). All racial/ethnic groups experienced a decline in life expectancy between the pre-pandemic year of 2019 and the peak pandemic year of 2021. However, the impact of COVID-19 was the greatest for AIANs and Blacks whose life expectancy decreased by 6.3 and 5.8 years, respectively. The infant mortality rate for AIANs was 8.5 per 1,000 live births, 78% higher than the rate for non-Hispanic Whites. One in five AIANs assessed their physical and mental health as poor, at twice the rate of non-Hispanic Whites or the general population. COVID-19 was the leading cause of death among AIANs in 2021. Risks of mortality from alcohol-related problems, drug overdose, unintentional injuries, and homicide were higher among AIANs than the general population. AIANs had the highest overall disability, mental and ambulatory disability, health uninsurance, unemployment, and poverty rates, with differences in these indicators varying markedly across the AIAN tribes. Conclusion and Global Health Implications: AIANs remain a disadvantaged racial/ethnic group in the US in many health and socioeconomic indicators, with poverty rates in many Native American tribal groups and reservations exceeding 40%.

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.

Living alone and cancer mortality by race/ethnicity and socioeconomic status among US working-age adults.

BACKGROUND: Previous studies have shown an association between living alone and cancer mortality; however, findings by sex and race/ethnicity have generally been inconsistent, and data by socioeconomic status are sparse. The association between living alone and cancer mortality by sex, race/ethnicity, and socioeconomic status in a nationally representative US cohort was examined. METHODS: Pooled 1998-2019 data for adults aged 18-64 years at enrollment from the National Health Interview Survey linked to the National Death Index (N = 473,648) with up to 22 years of follow-up were used to calculate hazard ratios (HRs) for the association between living alone and cancer mortality. RESULTS: Compared to adults living with others, adults living alone were at a higher risk of cancer death in the age-adjusted model (HR, 1.32; 95% CI, 1.25-1.39) and after additional adjustments for multiple sociodemographic characteristics and cancer risk factors (HR, 1.10; 95% CI, 1.04-1.16). Age-adjusted models stratified by sex, poverty level, and educational attainment showed similar associations between living alone and cancer mortality, but the association was stronger among non-Hispanic White adults (HR, 1.33; 95% CI, 1.25-1.42) than non-Hispanic Black adults (HR, 1.18; 95% CI, 1.05-1.32; p value for difference < .05) and did not exist in other racial/ethnic groups. These associations were attenuated but persisted in fully adjusted models among men (HR, 1.13; 95% CI, 1.05-1.23), women (HR, 1.09; 95% CI, 1.01-1.18), non-Hispanic White adults (HR, 1.13; 95% CI, 1.05-1.20), and adults with a college degree (HR, 1.22; 95% CI, 1.07-1.39). CONCLUSIONS: In this nationally representative study in the United States, adults living alone were at a higher risk of cancer death in several sociodemographic groups.

Racial and ethnic disparities in monthly trends in alcohol-induced mortality among US adults from January 2018 through December 2021.

Background: Historically, American Indians/Alaska Natives (AIANs), Blacks, and Hispanics have experienced higher alcohol-induced mortality rates. Given a disproportionate surge in unemployment rate and financial strain among racial and ethnic minorities and limited access to alcohol use disorder treatment during the COVID-19 pandemic, it is essential to examine monthly trends in alcohol-induced mortality in the United States during the pandemic.Objectives: This study estimates changes in monthly alcohol-induced mortality among US adults by age, sex, and race/ethnicity.Methods: Using monthly deaths from 2018-2021 national mortality files (N = 178,201 deaths, 71.5% male, 28.5% female) and census-based monthly population estimates, we calculated age-specific monthly alcohol-induced death rates and performed log-linear regression to derive monthly percent increases in mortality rates.Results: Alcohol-induced deaths among adults aged ≥25 years increased by 25.7% between 2019 (38,868 deaths) and 2020 (48,872 deaths). During 2018-2021, the estimated monthly percent change was higher for females (1.1% per month) than males (1.0%), and highest for AIANs (1.4%), followed by Blacks (1.2%), Hispanics (1.0%), non-Hispanic Whites (1.0%), and Asians (0.8%). In particular, between February 2020 and January 2021, alcohol-induced mortality increased by 43% for males, 53% for females, 107% for AIANs, the largest increase, followed by Blacks (58%), Hispanics (56%), Asians (44%), and non-Hispanic Whites (39%).Conclusions: During the peak months of the pandemic, the rising trends in alcohol-induced mortality differed substantially by race and ethnicity. Our findings indicate that behavioral and policy interventions and future investigation on underlying mechanisms should be considered to reduce alcohol-induced mortality among Blacks and AIANs.

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.

Estimating the impact of the COVID-19 pandemic on rising trends in drug overdose mortality in the United States, 2018-2021.

PURPOSE: During the COVID-19 pandemic, social and economic disruption such as social isolation, job and income losses, and increased psychological distress, may have contributed to the increase in drug-overdose mortality. This study aims to measure the impact of the pandemic on monthly trends in drug-overdose mortality in the United States. METHODS: We used the 2018-2020 final and 2021 provisional monthly deaths from the National Vital Statistics System and monthly population estimates from the Census Bureau to compute monthly mortality rates by age, sex, and race/ethnicity. We use log-linear regression models to estimate monthly percent increases in mortality rates from January 2018 through November 2021. RESULTS: The age-adjusted drug-overdose mortality rate among individuals aged older than or equal to 15 years increased by 30% between 2019 (70,459 deaths) and 2020 (91,536 deaths). During January 2018-November 2021, the monthly drug-overdose mortality rate increased by 2.05% per month for Blacks, 2.25% for American Indians/Alaska Natives, 1.96% for Hispanics, 1.33% for Asian/Pacific Islanders, and 0.96% for non-Hispanic Whites. Average monthly increases in mortality were most marked among those aged 15-24 and 35-44 years. CONCLUSIONS: The COVID-19 pandemic had a substantial impact on the rising trends in drug-overdose mortality during the peak months in 2020 and 2021.

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.

Monthly Trends in Drug Overdose Mortality among Youth Aged 15-34 Years in the United States, 2018-2021: Measuring the Impact of the COVID-19 Pandemic.

Background: Adolescents and young adults in the United States (US) have experienced a significant increase in drug overdose mortality rates in the last two decades. During the Coronavirus disease 2019 (COVID-19) pandemic, they experienced a lack of access to substance use disorder treatment, stay-home orders, school closure, social isolation, increased psychological distress, and financial strain. Few studies have examined the impact of the pandemic on monthly trends in drug-overdose mortality among youth by race/ethnicity. This study estimates differential changes in monthly drug overdose mortality among youth in the US by age, sex, and race/ethnicity. Methods: Monthly deaths from the final 2018-2020 national mortality data and the 2021 provisional mortality data were used, and monthly population estimates were obtained from the Census Bureau. We calculated age-specific monthly drug overdose deaths per one million population and used log-linear regression models to estimate monthly percent increases in mortality rates from January 2018 through October 2021. Results: Drug-overdose deaths among individuals aged 15-34 increased by 36.5% from 2019 (21,152 deaths) to 2020 (28,879 deaths). From February 2020 to May 2020, the drug-overdose mortality rate increased by 62% for males, 53% for females, 79% for Blacks, 62% for American Indians/Alaska Natives (AIANs), 57% for Hispanics, 56% for non-Hispanic Whites, and 47% for Asians. From January 2018 to October 2021, the average monthly drug-overdose mortality rate increased by 2.69% per month for Blacks, 2.54% for AIANs, 2.27% for Hispanics, 1.37% for Asians, and 0.81% for non-Hispanic Whites. Increases in drug-overdose mortality were more rapid among males than females and among youth aged 15-24 than youth aged 25-34. Conclusion and Global Health Implications: During the peak months in 2020 and 2021, the COVID-19 pandemic had a disproportionate impact by race/ethnicity on trends in drug overdose mortality among the youth. Drug overdose mortality rates increased faster among Blacks, Hispanics, AIANs, and Asians compared to non-Hispanic Whites.

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.

Disparities in All-cancer and Lung Cancer Survival by Social, Behavioral, and Health Status Characteristics in the United States: A Longitudinal Follow-up of the 1997-2015 National Health Interview Survey-National Death Index Record Linkage Study.

Most research on cancer patient survival uses registry-based (e.g., SEER) incidence and survival data that have limited socioeconomic status and health-risk information. In this study, we used the 1997-2015 National Health Interview Survey-National Death Index prospectively-linked pooled cohort database (n = 40,291 cancer patients) to examine disparities in patient survival by a broad range of social determinants, including race/ethnicity, nativity, educational attainment, income/poverty level, occupation, housing tenure, physical and mental health status, smoking, physical activity, body mass index, and alcohol consumption. We used Cox proportional hazards models to estimate mortality hazard ratios and cause-specific 1-year, 5-year, and 10-year survival rates for all-cancer and lung cancer. During 1997-2015, the 10-year age-adjusted (all-cause) survival rate for cancer patients with professional and managerial occupations was 89.66%, significantly higher than the survival rate of 83.17% for laborers or 83.66% for the unemployed. Cancer patients with renting house had significantly lower age-adjusted survival rates than those owning house (82.65% vs. 85.80%). The 10-year age-adjusted survival rates were significantly greater among cancer patients with regular physical activity than those without regular physical activity (90.18% vs. 83.24%). Age-adjusted survival rates were significantly reduced for cancer patients with lower income and education, poor health, and serious psychological distress, and among current and former smokers. The gap in survival narrowed with additional sociodemographic, health, or behavioral adjustment. Similarly large differentials were found in lung cancer survival. Marked disparities in all-cancer and lung cancer survival were found by a wide range of sociodemographic and health characteristics.

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.

Social Isolation and All-Cause and Heart Disease Mortality Among Working-Age Adults in the United States: The 1998-2014 NHIS-NDI Record Linkage Study.

Purpose: Living alone, an indicator of social isolation, has been increasing in the United States; 28% of households in 2019 were one-person households, compared with 13% in 1960. The working-age population is particularly vulnerable to adverse social conditions such as low social support. Although previous research has shown that social isolation and loneliness lead to poorer health and decreased longevity, few studies have focused on the working-age population and heart disease mortality in the United States using longitudinal data. Methods: This study examines social isolation as a risk factor for all-cause and heart disease mortality among U.S. adults aged 18-64 years using the pooled 1998-2014 data from the National Health Interview Survey (NHIS) linked to National Death Index (NDI) (n=388,973). Cox proportional hazards regression was used to model survival time as a function of social isolation, measured by "living alone," and sociodemographic, behavioral, and health characteristics. Results: In Cox regression models with 17 years of mortality follow-up, the age-adjusted all-cause mortality risk was 45% higher (hazard ratio [HR]=1.45; 95% confidence interval [CI]=1.40-1.50) and the heart disease mortality risk was 83% higher (HR=1.83; 95% CI=1.67-2.00) among adults aged 18-64 years living alone at the baseline, compared with adults living with others. In the full model, the relative risk associated with social isolation was 16% higher (HR=1.16; 95% CI=1.11-1.20) for all-cause mortality and 33% higher (HR=1.33; 95% CI=1.21-1.47) for heart disease mortality after controlling for sociodemographic, behavioral-risk, and health status characteristics. Conclusion: In this national study, adults experiencing social isolation had statistically significantly higher relative risks of all-cause and heart disease mortality in the United States than adults living with others.

Monthly Trends in Access to Care and Mental Health Services by Household Income Level During the COVID-19 Pandemic, United States, April: December 2020.

Purpose: Since the start of the coronavirus disease 2019 (COVID-19) pandemic in March 2020, ∼40% of U.S. adults have experienced delayed medical care. Rates of uninsurance, delayed care, and utilization of mental health services during the course of the pandemic have not been analyzed in detail. We examined monthly trends and disparities in access to care by household income levels in the United States. Methods: Using Census Bureau's nationally representative pooled 2020 Household Pulse Survey from April to December, 2020 (N=778,819), logistic regression models were used to analyze trends and inequalities in various access to care measures. Results: During the COVID-19 pandemic, the odds of being uninsured, having a delayed medical care due to pandemic, delayed care of something other than COVID-19, or delayed mental health care were, respectively, 5.54, 1.50, 1.85, and 2.18 times higher for adults with income <$25,000, compared to those with incomes ≥$200,000, controlling for age, sex, race/ethnicity, education, marital status, housing tenure, region of residence, and survey month. Income inequities in mental health care widened over the course of the pandemic, while the probability of delayed mental health care increased for all income groups. Although the odds of taking prescription medication for mental health were higher for low-income adults, the odds of receiving mental health services were generally lower for lower income adults, controlling for all covariates. Conclusion: In light of our findings on persistent health care inequities during the pandemic, increased policy efforts are needed to improve access to care in low-income populations as an equitable COVID-19 recovery response.

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.

Psychological distress, life expectancy, and all-cause mortality in the United States: results from the 1997-2014 NHIS-NDI record linkage study.

PURPOSE: Previous research has shown a significant association between psychological distress (PD) and all-cause mortality. However, this association is not fully explored, and life expectancy by PD is unknown. METHODS: We used the pooled 1997-2014 data from the National Health Interview Survey linked to National Death Index (n = 513,081) to examine the association of the Kessler 6-item PD scale with life expectancy and all-cause mortality. Life expectancy by PD was computed using the standard life table method. Cox regression was used to model survival time as a function of PD and sociodemographic, behavioral, and health characteristics. RESULTS: The age-adjusted mortality rate for adults with serious PD (SPD) was 2632 deaths per 100,000 person-years, compared with 1428 for those without PD. Life expectancy was inversely related to PD. At age 18, those with SPD had a life expectancy of 45.0 years, compared with 55.6 years for those without PD. The age-adjusted relative risk of all-cause mortality was 125% higher for adults with SPD (hazard ratio = 2.25; 95% confidence interval = 2.14, 2.37) than those without PD. Mortality risk associated with SPD remained (hazard ratio = 1.14; 95% confidence interval = 1.08, 1.20) after covariate adjustment. CONCLUSIONS: U.S. adults with SPD had significantly higher mortality risk and lower life expectancy.

The Association Between Psychological Distress and Cancer Mortality in the United States: Results from the 1997-2014 NHIS-NDI Record Linkage Study.

BACKGROUND/PURPOSE: Psychological distress can influence cancer mortality through socioeconomic disadvantage, health-risk behaviors, or reduced access to care. These disadvantages can result in higher risks of cancer occurrence, a delayed cancer diagnosis, hamper adherence to treatment, and provoke inflammatory responses leading to cancer. Previous studies have linked psychological distress to cancer mortality. However, studies are lacking for the U.S. population. METHODS: This study examines the Kessler six-item psychological distress scale as a risk factor for U.S. cancer mortality using the pooled 1997-2014 data from the National Health Interview Survey (NHIS) linked to National Death Index (NDI) (N = 513,012). Cox proportional hazards regression was used to model survival time as a function of psychological distress and sociodemographic and behavioral covariates. RESULTS: In Cox models with 18 years of mortality follow-up, the cancer mortality risk was 80% higher (hazard ratio [HR] = 1.80; 95% CI = 1.64, 1.97) controlling for age; 61% higher (HR = 1.61; 95% CI = 1.46, 1.76) in the SES-adjusted model, and 33% higher (HR = 1.33; 95% CI = 1.21, 1.46) in the fully-adjusted model among adults with serious psychological distress (SPD), compared with adults without psychological distress. Males, non-Hispanic Whites, and adults with incomes at or above 400% of the federal poverty level had greater cancer mortality risk associated with SPD. Using an 8 years of mortality follow-up, those with SPD had 108% increased adjusted risks of mortality from breast cancer. CONCLUSION: Our study findings underscore the significance of addressing psychological well-being in the population as a strategy for reducing cancer mortality.

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.