The Association between Type of Insurance Plan, Out-of-Pocket Cost, and Adherence to Antihypertensive Medications in Medicare Supplement Insurance Enrollees.

BACKGROUND: Medicare supplement insurance, or Medigap, covers 21% of Medicare beneficiaries. Despite offsetting some out-of-pocket (OOP) expenses, remaining OOP costs may pose a barrier to medication adherence. This study aims to evaluate how OOP costs and insurance plan types influence medication adherence among beneficiaries covered by Medicare Supplement plans. METHODS: We conducted a retrospective analysis of the MerativeTM MarketScan® Medicare Supplement Database (2017-2019) in Medigap enrollees (≥ 65 years) with hypertension. Proportion of days covered (PDC) was a continuous measure of medication adherence and was also dichotomized (PDC ≥ 0.8) to quantify adequate adherence. Beta-binomial and logistic regression models were used to estimate associations between these outcomes and insurance plan type and log-transformed OOP costs, adjusting for patient characteristics. RESULTS: Among 27,407 patients with hypertension, the average PDC was 0.68 ± 0.31; 47.5% achieved adequate adherence. A mean $1 higher in 30-day OOP costs was associated with a 0.06 (95% Confidence intervals [CI]: -0.09 - -0.03) lower probability of adequate adherence, or a 5% (95% C.I.: 4% - 7%) decrease in PDC. Compared to comprehensive plan enrollees, the odds of adequate adherence were lower among those with point-of-service plans (O.R.: 0.69, 95%C.I.: 0.62 - 0.77), but higher among those with preferred provider organization (PPO) plans (O.R.: 1.08, 95%C.I.: 1.01 - 1.15). Moreover, the association between OOP costs and PDC was significantly greater for PPO enrollees. CONCLUSIONS: While Medicare supplement insurance alleviates some OOP costs, different insurance plans and remaining OOP costs influence medication adherence. Reducing patient cost-sharing may improve medication adherence.

Influence of biopsychosocial factors on self-reported anxiety/depression symptoms among first-generation immigrant population in the U.S.

BACKGROUND: Despite increasing studies on mental health among immigrants, there are limited studies using nationally representative samples to examine immigrants' mental health and its potential biopsychosocial contributing factors, especially during the COVID-19 pandemic. We explored and estimated the influence of life satisfaction, social/emotional support, and other biopsychosocial factors on self-reported anxiety/depression symptoms among a nationally representative sample of first-generation immigrants in the U.S. METHODS: We conducted a secondary data analysis using the 2021 National Health Interview Survey among first-generation adults aged ≥ 18 years (n = 4295). We applied survey weights and developed multivariable logistic regression model to evaluate the study objective. RESULTS: The prevalence of daily, weekly, or monthly anxiety/depression symptoms was 10.22% in the first-generation immigrant population. There were 2.04% daily, 3.27% weekly, and 4.91% monthly anxiety/depression among the population: about 8.20%, 9.94%, and 9.60% experienced anxiety symptoms, whereas 2.49%, 3.54%, and 5.34% experienced depression symptoms daily, weekly, and monthly, respectively. The first-generation population aged 26-49 years were less likely to experience anxiety/depression daily, weekly, or monthly compared to those aged 18-25. Females (versus males) were more likely to experience anxiety/depression daily, weekly, or monthly. Those who identified as gay/lesbian had higher odds of experiencing anxiety/depression daily, weekly, or monthly compared to heterosexual persons. Relative to non-Hispanic White individuals, non-Hispanic Asian, Black/African American, and Hispanic individuals had lower odds, while other/multi-racial/ethnic groups were more likely to experience anxiety/depression daily, weekly, or monthly. A higher life satisfaction score was associated with lower odds of experiencing anxiety/depression daily, weekly, or monthly. Having social/emotional support sometimes/rarely or using healthcare within the past one/two years was associated with experiencing anxiety/depression daily, weekly, or monthly. CONCLUSIONS: The findings reveal significant burden of anxiety and depression among first-generation population in the U.S., with higher risks among subgroups like young adults, females, sexual minorities, and non-Hispanic White and other/multi-racial individuals. Additionally, individuals with lower life satisfaction scores, limited social/emotional support, or healthcare utilization in the past one or two years present increased risk. These findings highlight the need for personalized mental health screening and interventions for first-generation individuals in the U.S. based on their diversity and health-related risks.

Trends and disparities in prevalence of cardiometabolic diseases by food security status in the United States.

BACKGROUND: Previous studies have demonstrated the association between food security and cardiometabolic diseases (CMDs), yet none have investigated trends in prevalence of CMDs by food security status in the United States (US). METHODS: Serial cross-sectional analysis of the US nationally representative data from National Health and Nutrition Examination Survey (1999-2018) was conducted among adults aged 20 years or older. Food security status was defined by the US Household Food Security Survey Module (full, marginal, low, and very low food security). We estimated the age-adjusted prevalence of CMDs including obesity, hypertension, diabetes, and coronary heart disease by food security status. Racial and ethnic disparities in age-adjusted prevalence of CMDs by food security status were also assessed. RESULTS: A total of 49,738 participants were included in this analysis (weighted mean age 47.3 years; 51.3% women). From 1999 to 2018, the age-adjusted prevalence of CMDs was lower in full food secure group as compared with other groups. For example, trends in hypertension decreased from 49.7% (47.5-51.8%) to 45.9% (43.8-48.0%) (P-trend = 0.002) among the full and from 54.2% (49.9-58.5%) to 49.7% (46.8-52.6%) (P-trend = 0.02) among the marginal but remained stable among the low at 49.7% (47.9-51.6%) and among the very low at 51.1% (48.9-53.3%) (P-interaction = 0.02). Prevalence of diabetes increased from 8.85% (8.15-9.60%) to 12.2% (11.1-13.5%) among the full (P-trend < 0.001), from 16.5% (13.2-20.4%) to 20.9% (18.6-23.5%) (P-trend = 0.045) among the marginal and from 14.6% (11.1-19.0%) to 20.9% (18.8-23.3%) (P-trend = 0.001) among the low but remained stable at 18.8% (17.0-20.9) among the very low (P-trend = 0.35) (P-interaction = 0.03). Racial and ethnic differences in prevalence of CMD by food security status were observed. For example, among individuals with full food secure status, the prevalence of diabetes was 9.08% (95% CI, 8.60-9.59%) for non-Hispanic whites, 17.3% (95% CI, 16.4-18.2%) for non-Hispanic blacks, 16.1% (95% CI, 15.0-17.4%) for Hispanics and 14.9% (95% CI, 13.3-16.7%) for others. CONCLUSIONS AND RELEVANCE: Prevalence of CMDs was greatest among those experiencing food insecurity, and food insecurity disproportionately affected racial/ethnic minorities. Disparities in CMD prevalence by food security status persisted or worsened, especially among racial/ethnic minorities.

Experiences With Work-Family Conflict, Breastfeeding, and Perinatal Mental Health Among Women Returning to Work After Giving Birth: A Mixed Methods Study.

OBJECTIVE: This study aimed to examine working mothers' experiences with returning to work after giving birth, work-family conflict, breastfeeding, and mental health. METHODS: A sequential, mixed methods design was used to administer an online survey to capture job characteristics and perceptions of work-family conflict among first-time mothers in Georgia who gave birth within the previous year ( N = 26). Then, interviews were conducted to understand their experiences with returning to work, work-family conflict, breastfeeding, and mental health. RESULTS: Many participants worked in educational settings and returned to full-time work after giving birth. Qualitative themes from 12 interviews captured the context of participants' work environments, types of work-family conflict, and factors that alleviated work-family conflict. CONCLUSIONS: Employers need to incorporate support for work-family conflict and perinatal mental health into workplace breastfeeding programs and maternity leave policies.

Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data.

With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effective measure to improve the survival rate of OHCA. While general guidelines have been provided by the American Heart Association (AHA) for AED deployment, the lack of detailed instructions hindered the adoption of such guidelines under dynamic scenarios with various time and space distributions. Formulating the AED deployment as a location optimization problem under budget and resource constraints, we proposed an overlayed spatio-temporal optimization (OSTO) method, which accounted for the spatiotemporal heterogeneity of potential OHCAs. To highlight the effectiveness of the proposed model, we applied the proposed method to Washington DC using user-generated anonymized mobile device location data. The results demonstrated that optimization-based planning provided an improved AED coverage level. We further evaluated the effectiveness of adding additional AEDs by analyzing the cost-coverage increment curve. In general, our framework provides a systematic approach for municipalities to integrate inclusive planning and budget-limited efficiency into their final decision-making. Given the high practicality and adaptability of the framework, the OSTO is highly amenable to different healthcare facilities' deployment tasks with flexible demand and resource restraints.

Depression and anxiety among college students at Historically Black and Predominantly White universities during the COVID-19 pandemic: A cross-sectional study.

OBJECTIVE: To assess depression and anxiety among college students during the COVID-19 pandemic and its association with race. PARTICIPANTS: Using a cross-sectional survey, depression and anxiety among college students at a Predominantly White (PWU) and a Historically Black University (HBU) during 2021 were evaluated. METHODS: The patient health questionnaire-9 (PHQ-9), general anxiety disorder-7 (GAD-7), and self-reported sociodemographic characteristics were collected. Chi-square and logistic regression tests examined differences in depression and anxiety based on race. RESULTS: Depression and anxiety among 3,102 students (87% female) were analyzed. Minority racial groups were associated with anxiety (p < 0.01) but not depression in the PWU. Moderately severe and severe depression was higher among the minority race at both the universities (1.76% compared to 0.53% at PWU, and 11.1% compared to 2.4% at HBU). CONCLUSIONS: Depression and anxiety among college students is influenced by racial status. First-generation students were more likely to report depression in both HBU and PWU.

Disparities in Successful Discharge to the Community Following Use of Medicare Home Health by Level of Neighborhood Socioeconomic Disadvantage.

Considering the importance of social and structural support and resources in recovering health, where people reside could lead to differences in health outcome in Medicare home health care. We used the 2019 Outcome and Assessment Information Set and Area Deprivation Index to examine the association between neighborhood context and successful discharge to community among older Medicare home health care users. Based on the multivariable logistic regression (OR: 0.84; 95% CI, 0.83-0.85) and conditional logistic regression models stratified by home health agency (OR: 0.95; 95% CI, 0.94-0.95), patients living in the most disadvantaged neighborhoods were less likely to experience successful discharge to community than others. Furthermore, the predicted probability of successful discharge to community decreased as the percentage of patients from the most disadvantaged neighborhoods within a home health agency increased. Policymakers should consider using area-level interventions and supports to reduce disparities in Medicare home health care.

Social Determinants of Cardiovascular Health: A Longitudinal Analysis of Cardiovascular Disease Mortality in US Counties From 2009 to 2018.

Background Disparities in cardiovascular disease (CVD) outcomes persist across the United States. Social determinants of health play an important role in driving these disparities. The current study aims to identify the most important social determinants associated with CVD mortality over time in US counties. Methods and Results The authors used the Agency for Healthcare Research and Quality's database on social determinants of health and linked it with CVD mortality data at the county level from 2009 to 2018. The age-standardized CVD mortality rate was measured as the number of deaths per 100 000 people. Penalized generalized estimating equations were used to select social determinants associated with county-level CVD mortality. The analytic sample included 3142 counties. The penalized generalized estimating equation identified 17 key social determinants of health including rural-urban status, county's racial composition, income, food, and housing status. Over the 10-year period, CVD mortality declined at an annual rate of 1.08 (95% CI, 0.74-1.42) deaths per 100 000 people. Rural counties and counties with a higher percentage of Black residents had a consistently higher CVD mortality rate than urban counties and counties with a lower percentage of Black residents. The rural-urban CVD mortality gap did not change significantly over the past decade, whereas the association between the percentage of Black residents and CVD mortality showed a significant diminishing trend over time. Conclusions County-level CVD mortality declined from 2009 through 2018. However, rural counties and counties with a higher percentage of Black residents continued to experience higher CVD mortality. Median income, food, and housing status consistently predicted higher CVD mortality.

Adverse childhood experiences, risk of opioid misuse and its pathway among students at a public university.

OBJECTIVE:  We examine role of ACEs and pathways to risk of opioid misuse among young adults. Participants and Methods: A cross-sectional survey of validated measures of ACEs, risk of opioid misuse, and health conditions with a sample of 1,402 students from a large public university followed by multivariate logistic regression and pathway analysis. Results: Majority (61%) of participants reported at least one ACE. A dose-response relationship between numbers of ACEs with risk for opioid misuse was present. Compared to participants with no ACEs, participants with ≥4 ACEs and 0-3 ACEs were 2.93 (95% CI: 1.95, 4.39; p < 0.001) and 1.96 (95% CI: 1.46, 2.65; p < 0.001) times more likely to be at risk for opioid misuse, respectively. Having at least one existing or past health condition significantly mediated the association. Conclusions: Our findings suggest need to include assessment of ACEs as a screening criterion for opioid prescription and administration among college-aged individuals.

Utilization of Counseling Services by Pediatric Patients With Obesity Using MarketScan Data (2017-2019).

The United States has implemented policy efforts for public and private insurance to cover counseling services related to the treatment of obesity. However, no research has yet studied counseling service utilization among pediatric patients with obesity. We used 3 years (2017-2019) of IBM MarketScan Commercial Claims and Encounters Database and IBM MarketScan Multi-State Medicaid Data to examine such utilization patterns. We found the proportion of patients receiving any counseling services to be low among both privately insured (7.06%-7.97%) and Medicaid patients (9.51%-11.61%) within 6 months from diagnosis of obesity. This underutilization is concerning as many pediatric patients go undiagnosed, as evidenced in this research. Among the utilized services, nutrition counseling and face-to-face counseling were utilized the most by privately and Medicaid-insured patients over 6- and 12-month follow-ups. Our study underscores the need for implementing policies and programs to promote the utilization of counseling services among pediatric patients.

Household profiles of neglected tropical disease symptoms among children: A latent class analysis of built-environment features of Tanzanian households using the Demographic and Health Survey.

Background: While malaria and neglected tropical disease (NTD) morbidity and mortality rates among children <5 years old have decreased through public health efforts in the United Republic of Tanzania, associations between household environments and disease outcomes are relatively unknown. Methods: We conducted latent class analysis (LCA) on 2015-2016 Tanzania Demographic Health Survey data from mothers with children <5 years old (N = 10 233) to identify NTD household risk profiles. The outcome of child NTD was assessed by mothers' reports of recent diarrhoea, cough, treatment for enteric parasites, and fever symptoms. Household-built environment indicators included urban/rural designation, electricity access, water source, cooking fuel, flooring, wall, and roofing materials. External environmental covariates were considered to further differentiate profiles. Results: Five profiles were identified in the sample: rural finished walls households (40.2%) with the lowest NTD risk; rural rudimentary households (20.9%) with intermediate-low NTD risk; finished material households (22.5%) with intermediate NTD risk; urban households (14.4%) with intermediate-high NTD risk and high likelihood of enteric parasites; rural finished roof/walls households (2.1%) with the highest overall NTD risk. Conclusions: This study is among the first to use LCA to examine household environment characteristics to assess child NTD risk in Tanzania. This paper serves as a framework for community-level rapid NTD risk assessment for targeted health promotion interventions.

A Time-Varying Effect Model (TVEM) of the Complex Association of Tobacco Use and Smoke Exposure on Mean Telomere Length: Differences between Racial and Ethnic Groups Assessed in the National Health and Nutrition Examination Survey.

Telomere length is affected by lifestyle and environmental factors and varies between racial and ethnic groups; however, studies are limited, with mixed findings. This study examined the effects of tobacco use and smoke exposure on mean telomere length to identify critical age periods by race/ethnicity. We used time-varying effect modeling on the National Health and Nutrition Examination Survey for continuous years 1999-2002 to observe the effects of active tobacco use and environmental tobacco smoke-measured through serum cotinine-and mean telomere length for adults 19 to 85 and older (N = 7826). Models were run for Mexican American, other Hispanic, non-Hispanic White, non-Hispanic Black, and other/multi-race categories to allow for time-varying group differences, and controlled for biological sex, socioeconomic status, education, and ever-smoker status. Serum cotinine was found to have an increasing effect on telomere length from age 37 to approximately age 74 among Mexican Americans. Among other/multi-race individuals serum cotinine was found to have a decreasing effect at approximately age 42, and among Blacks, it had an overall decreasing effect from age 61 to 78. Findings reveal a further need to focus additional support and resources to intervene regarding disparate health effects from tobacco use and environmental smoke exposure for already vulnerable groups at particular ages.

Electronic Vapor Product Use and Levels of Physical Activity Among High School Students in Georgia.

Introduction: Using a cross-sectional population-based survey, electronic vapor product (EVP) use was evaluated in relation to physical activity levels among high school students in Georgia. Methods: We used self-reported EVP and cigarette use from the Georgia Student Health Survey 2.0 data from 2018 (N =362 933) and used multi-level multinomial logistic regression models to estimate relative risks of the type of product use relative to no-use by levels of physical activity. Results: Nearly 7% of the students were EVP-only users. The relative risks of being an EVP-only user were 11% and 23% higher for those who were physically active 2-3 days/week and 4-5 days/week, respectively, compared to those who were physically active <=1 day/week. Conclusions: Being physically active was positively associated with EVP use among adolescents. Health promotion education and health policies should be developed as a means of reducing EVP use among adolescents.

Current Landscape of Produce Prescription Programs in the US.

OBJECTIVE: To understand the design and implementation models of US produce prescription programs. METHODS: In a mixed-methods study, program providers completed an online survey and an individual phone interview regarding their 2019 programming. RESULTS: Twenty-three programs completed surveys; 20 completed interviews. Program locations included the mid-Atlantic (26%), Northeast (9%), Midwest (30%), Southwest (17%), and Western regions (17%). Although program models varied, programs generally included a health care visit, usually at a safety-net clinic, and nutrition education, typically counseling, advice, or classes. Prescriptions tended to be farmers market vouchers worth a median of $15 a week (interquartile range, $7.81-$20.00). Transportation was a problem for nearly half of the programs. CONCLUSIONS AND IMPLICATIONS: Current produce prescription program characteristics and operations can serve as a blueprint for new and existing programs. Future research should determine program best practices and the opportunity cost between program standardization and local flexibilities.

School climate-related determinants of physical activity among high school girls and boys.

INTRODUCTION: In the United States, physical activity (PA) among adolescents is declining; 75% of high school students do not meet daily PA guidelines. Low rates of PA are more prevalent among high school girls. Schools provide an optimal environment to target and promote PA. However, school climate has not yet been studied for its importance in promoting PA among high school students, particularly girls. METHODS: A cross-sectional analysis was conducted using the Georgia Student Health Survey (GSHS) 2.0 data on perceptions of different school climate measures and self-reported weekly PA levels to study gender differences in the association of PA with school climate. RESULTS: Data from a total of 362,926 students (48% males and 52% females) were analyzed. For both genders, the odds of being physically active increased with a more positive report of supportive school environments, school connectedness, peer social support, school physical environments, cultural acceptance, school safety, and adult social support. Peer victimization was associated with increased odds of PA among females but lower odds for males. CONCLUSION: Results suggest that improving school climate can increase PA among adolescents. As new or existing school-based interventions and policies are considered by states and local governments, improving the school climate should be part of the overall strategy. Future research is needed on peer victimization among physically active females. IMPLICATIONS AND CONTRIBUTIONS: This study evaluated gender differences in the association between measures of school climate and PA among high school students. School climate or policies fostering positive environments including feelings of safety, connectedness, and peer support may increase adolescent PA; addressing peer victimization and fights may reduce gender disparities in PA.

Vitamin D Intake and Meeting Recommendations Among Infants Participating in WIC Nationally.

OBJECTIVE: To report and examine associations with infant vitamin D intake and meeting recommendations among a national sample participating in Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). DESIGN: Secondary analysis from the 2013-2015 WIC Infant Toddler Feeding Practices Study-2. PARTICIPANTS: US Infants. VARIABLES MEASURED: Total reported vitamin D intake from diet and supplementation at the time of data collection. ANALYSIS: Descriptive statistics and generalized estimating equations. RESULTS: The median total vitamin D intake ranged from 5.43 (95% confidence interval, 5.40-5.46) mcg/d at month 1 to 8.18 (95% confidence interval, 8.11-8.20) mcg/d at month 13, with 16% to 36% of infants meeting the infant vitamin D recommendation over that time. Overall, 6% to 12% of all participants reported supplementation across all time points. Although most (between 78% to 98%) of supplemented breastfed infants met the recommendation, very few were supplemented as a group. Hence, breastfed infants were less likely to meet the recommendation than those who were formula fed across at time points except month 1 (P < 0.001 for all). Whereas infant age, feeding type, and/or their interaction were significant predictors of both receiving supplementation and meeting the recommendation, mother/caregiver nativity (P = 0.006) and parity (P = 0.01 and P < 0.001) predicted receiving supplementation, and child sex (P < 0.001) and mother/caregiver race/ethnicity (P < 0.001) predicted meeting the recommendation. CONCLUSIONS AND IMPLICATIONS: Among a national sample of infants participating in WIC between 2013-2015, a high proportion were not meeting the current vitamin D recommendation. The WIC program is 1 resource for promoting strategies for increasing the number of American infants meeting D recommendations, but a coordinated approach involving other health care providers is likely needed. Future research exploring the reason for lack of supplementation, from both the perspective of parents and providers and the clinical impact of low vitamin D intake, is warranted.

Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US.

The COVID-19 pandemic has resulted in more than 600 million confirmed cases worldwide since December 2021. Cardiovascular disease (CVD) is both a risk factor for COVID-19 mortality and a complication that many COVID-19 patients develop. This study uses Twitter data to identify the spatiotemporal patterns and correlation of related tweets with daily COVID-19 cases and deaths at the national, regional, and state levels. We collected tweets mentioning both COVID-19 and CVD-related words from February to July 2020 (Eastern Time) and geocoded the tweets to the state level using GIScience techniques. We further proposed and validated that the Twitter user registration state can be a feasible proxy of geotags. We applied geographical and temporal analysis to investigate where and when people talked about COVID-19 and CVD. Our results indicated that the trend of COVID-19 and CVD-related tweets is correlated to the trend of COVID-19, especially the daily deaths. These social media messages revealed widespread recognition of CVD's important role in the COVID-19 pandemic, even before the medical community started to develop consensus and theory supports about CVD aspects of COVID-19. The second wave of the pandemic caused another rise in the related tweets but not as much as the first one, as tweet frequency increased from February to April, decreased till June, and bounced back in July. At the regional level, four regions (Northeast, Midwest, North, and West) had the same trend of related tweets compared to the country as a whole. However, only the Northeast region had a high correlation (0.8-0.9) between the tweet count, new cases, and new deaths. For the second wave of confirmed new cases, the major contributing regions, South and West, did not ripple as many related tweets as the first wave. Our understanding is that the early news attracted more attention and discussion all over the U.S. in the first wave, even though some regions were not impacted as much as the Northeast at that time. The study can be expanded to more geographic and temporal scales, and with more physical and socioeconomic variables, with better data acquisition in the future.

Using Influenza Vaccination Location Data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) to Expand COVID-19 Vaccination Coverage.

Effective COVID-19 vaccine distribution requires prioritizing locations that are accessible to high-risk target populations. However, little is known about the vaccination location preferences of individuals with underlying chronic conditions. Using data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS), we grouped 162,744 respondents into high-risk and low-risk groups for COVID-19 and analyzed the odds of previous influenza vaccination at doctor's offices, health departments, community settings, stores, or hospitals. Individuals at high risk for severe COVID-19 were more likely to be vaccinated in doctor's offices and stores and less likely to be vaccinated in community settings.

Linguistic Isolation and Mortality in Older Mexican Americans: Findings from the Hispanic Established Populations Epidemiologic Studies of the Elderly.

Purpose: Limited English proficiency and increased language isolation are known to be associated with adverse health outcomes. It is not clear how neighborhood-level linguistic isolation may impact individual health and risk of death among Hispanic older adults. We examined the link between living in a linguistically isolated neighborhood and all-cause mortality among an older Mexican American cohort. Methods: Using a longitudinal sample of older Mexican Americans from the Hispanic Established Populations for the Epidemiologic Studies of the Elderly, we calculated the days from the baseline interview (1993-1994) until observed death through five waves of follow-up (until 2004-2005) using Cox regression. A linguistically isolated neighborhood was defined as a census tract with more than 30% of linguistically isolated households. Results: Our results showed that living in a neighborhood with more than 30% of linguistically isolated households predicted higher mortality (hazard ratio: 1.25; 95% confidence interval: 1.04-1.50), after adjusting for age, sex, nativity, years of education, marital status, self-reported health status, number of chronic conditions, ever smoked, ever drank, and other neighborhood-level contextual factors. Conclusion: Living in a neighborhood with a high proportion of linguistically isolated households predicted higher mortality among older Mexican Americans. Addressing the social capital shortage in linguistically isolated neighborhoods is one way to address health disparities in the United States.

Narrowing but persisting gender pay gap among employees of the US Department of Health and Human Services during 2010-2018.

BACKGROUND: The gender pay gap in the United States (US) has narrowed over the last several decades, with the female/male earnings ratio in the US increased from about 60% before the 1980s to about 79% by 2014. However, the gender pay gap among the healthcare workforce persists. The objective of this study is to estimate the gender pay gap in the US federal governmental public health workforce during 2010-2018. METHODS: We used an administrative dataset including annual pay rates and job characteristics of employees of the US Department of Health and Human Services. Employees' gender was classified based on first names. Regression analyses were used to estimate the gender pay gap using the predicted gender. RESULTS: Female employees of the DHHS earned about 13% less than men in 2010, and 9.2% less in 2018. Occupation, pay plan, and location explained more than half of the gender pay gap. Controlling for job grade further reduces the gap. The unexplained portion of the gender pay gap in 2018 was between 1.0 and 3.5%. Female employees had a slight advantage in terms of pay increase over the study period. CONCLUSIONS: While the gender pay gap has narrowed within the last two decades, the pay gap between female and male employees in the federal governmental public health workforce persists and warrants continuing attention and research. Continued efforts should be implemented to reduce the gender pay gap among the health workforce.