Structural inequities in seasonal influenza vaccination rates.

BACKGROUND: Influenza immunization is a highly effective method of reducing illness, hospitalization and mortality from this disease. However, influenza vaccination rates in the U.S. remain below public health targets and persistent structural inequities reduce the likelihood that Black, American Indian and Alaska Native, Latina/o, Asian groups, and populations of low socioeconomic status will receive the influenza vaccine. METHODS: We analyzed correlates of influenza vaccination rates using the 2019 Behavioral Risk Factor Surveillance System (BRFSS) in the year 2020. Our analysis compared influenza vaccination as the outcome of interest with the variables age, sex, race, education, income, geographic location, health insurance status, access to primary care, history of delaying care due to cost, and comorbidities such as: asthma, cardiovascular disease, hypertension, body mass index, cancer and diabetes. RESULTS: Non-Hispanic White (46.5%) and Asian (44.1%) participants are more likely to receive the influenza vaccine compared to Non-Hispanic Black (36.7%), Hispanic (33.9%), American Indian/Alaskan Native (36.6%), and Native Hawaiian/Other Pacific Islander (37.9%) participants. We found persistent structural inequities that predict influenza vaccination, within and across racial and ethnic groups, including not having health insurance [OR: 0.51 (0.47-0.55)], not having regular access to primary care [OR: 0.50 (0.48-0.52)], and the need to delay medical care due to cost [OR: 0.75 (0.71-0.79)]. CONCLUSION: As COVID-19 vaccination efforts evolve, it is important for physicians and policymakers to identify the structural impediments to equitable U.S. influenza vaccination so that future vaccination campaigns are not impeded by these barriers to immunization.

Contributors to Early Mortality in African Americans, the Jackson Heart Study.

Introduction: In recent years, premature "deaths of despair" (ie, due to alcohol, drug use, and suicide) among middle-aged White Americans have received increased attention in the popular press, yet there has been less discussion on what explains premature deaths among young African Americans. In this study, we examined factors related to deaths of despair (alcohol use, drug use, smoking) and contextual factors (perceived discrimination, socioeconomic status, neighborhood conditions) as predictors of premature deaths before the age of 65 years among African Americans. Methods: The Jackson Heart Study (JHS) is a longitudinal cohort study of African Americans in the Jackson, Mississippi, metropolitan statistical area. We included participants younger than 65 years at baseline (n=4000). Participant enrollment began in 2000 and data for these analyses were collected through 2019. To examine predictors of mortality, we calculated multivariable adjusted hazard ratios (HRs; 95% CI), using Cox proportional hazard models adjusted for age, sex, ideal cardiovascular health metrics, drug use, alcohol intake, functional status, cancer, chronic kidney disease, asthma, waist circumference, depression, income, education, health insurance status, perceived neighborhood safety, and exposure to lifetime discrimination. Results: There were 230 deaths in our cohort, which spanned from 2001-2019. After adjusting for all covariates, males (HR, 1.50; 95% CI, 1.11-2.03), participants who used drugs (HR, 1.53; 95% CI, 1.13-2.08), had a heavy alcohol drinking episode (HR, 1.71; 95% CI, 1.22-2.41), reported 0-1 ideal cardiovascular health metrics (HR, 1.78; 95% CI, 1.06-3.02), had cancer (HR, 2.38; 95% CI, 1.41-4.01), had poor functional status (HR, 1.68; 95% CI, 1.19-2.37), or with annual family income less than $25,000 (HR, 1.63; 95% CI, 1.02-2.62) were more likely to die before 65 years of age. Conclusions: In our large cohort of African American men and women, clinical predictors of premature death included poor cardiovascular health and cancer, and social predictors included low income, drug use, heavy alcohol use, and being a current smoker. Clinical and social interventions are warranted to prevent premature mortality in African Americans.

Pregnancy Intention: Associations with Maternal Behaviors and Experiences During and After Pregnancy.

Background: The associations between levels of pregnancy intention and adverse behaviors or experiences during pregnancy and postpartum have not been well described. Materials and Methods: We used 2018 Pregnancy Risk Assessment Monitoring System data from 31 jurisdictions in the United States (n = 32,777) to estimate prevalence of inadequate prenatal care (PNC), inappropriate gestational weight gain, depression during pregnancy, intimate partner violence (IPV) during pregnancy, third trimester smoking, no breastfeeding, no postpartum visit, postpartum depressive symptoms, and postpartum smoking by categories of pregnancy intention: unwanted, ambivalent (i.e., unsure), mistimed (i.e., wanted later), or wanted (i.e., wanted then/sooner). Regression models estimated adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs) of associations between pregnancy intention and maternal behaviors or experiences. Results: Approximately 16% of women reported pregnancy ambivalence. Women with pregnancy ambivalence (versus wanted pregnancies) had higher prevalence of all adverse maternal behaviors and experiences. Separate models found women with unwanted pregnancy (vs. ambivalent) had higher prevalence for depression during pregnancy (aPR: 1.40, 95% CI: 1.21-1.63), IPV (aPR: 1.75, 95% CI: 1.11-2.77), no breastfeeding (aPR: 1.22, 95% CI: 1.04-1.44), no postpartum visit (aPR: 1.28, 95% CI: 1.06-1.55), and postpartum depressive symptoms (aPR: 1.19, 95% CI: 1.00-1.42); Women with mistimed pregnancy (vs. ambivalent) had lower prevalence for inadequate PNC (aPR: 0.89, 95% CI: 0.81-0.98), third trimester smoking (aPR: 0.68, 95% CI: 0.57-0.80), no breastfeeding (aPR: 0.85, 95% CI: 0.74-0.98), and postpartum smoking (aPR: 0.83, 95% CI: 0.73-0.95). Discussion: The results emphasize the importance of recommended screening and care during the preconception, prenatal, and postpartum periods.