Faculty Bibliography

Mounting evidence shows a disproportionate COVID-19 burden among Blacks. Early findings indicate pre-existing metabolic burden (eg, obesity, hypertension and diabetes) as key drivers of COVID-19 severity. Since Blacks exhibit higher prevalence of metabolic burden, we examined the influence of metabolic syndrome on disparate COVID-19 burden. We analyzed data from a NIH-funded study to characterize metabolic burden among Blacks in New York (Metabolic Syndrome Outcome Study). Patients (n=1035) were recruited from outpatient clinics, where clinical and self-report data were obtained. The vast majority of the sample was overweight/obese (90%); diagnosed with hypertension (93%); dyslipidemia (72%); diabetes (61%); and nearly half of them were at risk for sleep apnea (48%). Older Blacks (age≥65 years) were characterized by higher levels of metabolic burden and co-morbidities (eg, heart disease, cancer). In multivariate-adjusted regression analyses, age was a significant (p≤.001) independent predictor of hypertension (OR=1.06; 95% CI: 1.04-1.09), diabetes (OR=1.03; 95% CI: 1.02-1.04), and dyslipidemia (OR=0.98; 95% CI: 0.97-0.99), but not obesity. Our study demonstrates an overwhelmingly high prevalence of the metabolic risk factors related to COVID-19 among Blacks in New York, highlighting disparate metabolic burden among Blacks as a possible mechanism conferring the greater burden of COVID-19 infection and mortality represented in published data.

Sleep disparities exist among Hispanics/Latinos, although little work has characterized individuals at the United States (US)-Mexico border, particularly as it relates to acculturation. This study examined the association of Anglo and Mexican acculturation to various facets of sleep health among those of Mexican descent at the US-Mexico border. Data were collected from N = 100 adults of Mexican descent in the city of Nogales, Arizona (AZ). Surveys were presented in English or Spanish. Acculturation was assessed with the Acculturation Scale for Mexican-Americans (ARSMA-II). Insomnia was assessed with the Insomnia Severity Index (ISI), sleepiness was assessed with the Epworth Sleepiness Scale (ESS), sleep apnea risk was assessed with the Multivariable Apnea Prediction (MAP) index, weekday and weekend sleep duration and efficiency were assessed with the Sleep Timing Questionnaire, sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), and sleep duration and sleep medication use were assessed with PSQI items. No associations were found between Mexican acculturation and any sleep outcomes in adjusted analyses. Anglo acculturation was associated with less weekend sleep duration and efficiency, worse insomnia severity and sleep quality, and more sleep apnea risk and sleep medication use. These results support the idea that sleep disparities may depend on the degree of acculturation, which should be considered in risk screening and interventions.

INTRODUCTION/BACKGROUND:System-level factors such as poor access to health services can help explain differential uptake in breast and cervical cancer screening between U.S.- and foreign-born women. However, few studies have explored the roles of family history and perceived risk of these cancers on screening rates. To address these gaps, this study investigates whether a family history of cancer, perceived risk, and system-level factors independently and additively predict differential screening rates of breast and cervical cancer between U.S.-born and foreign-born women living in the U.S. METHODS:Data were analyzed in 2019 from the 2015 National Health Interview Survey. Descriptive and multivariable logistic regression modeling was performed to test whether there were differences in breast and cervical cancer screening within and between the 2 groups and whether family history of cancer and perceived risk of breast cancer were predictors of uptake. RESULTS:The sample comprised women aged 21-74 years (n=14,047). The mean age of the sample was 45.5 (SD=14.8 years). The majority of the women were U.S.-born (77.5%). U.S.- and foreign-born women had more mammograms and Pap tests with a usual source of care (p<0.001) and insurance (p<0.001). Healthcare access and utilization factors were also predictive for both groups of women. Data analyses were conducted in 2019. CONCLUSIONS:These findings are consistent with previous work. Access and healthcare utilization were associated with screening uptake. However, differences in risk perception, family history of breast and cervical cancers, and screening uptake were found between U.S.- and foreign-born women.

OBJECTIVE:To estimate the average incremental health care expenditures associated with habitual long and short duration of sleep as compared with healthy/average sleep duration. DATA SOURCE/METHODS:Medical Expenditure Panel Survey data (2012; N=6476) linked to the 2010-2011 National Health Interview Survey. STUDY DESIGN/METHODS:Annual differences in health care expenditures are estimated for habitual long and short duration sleepers as compared with average duration sleepers using 2-part logit generalized linear regression models. PRINCIPAL FINDINGS/RESULTS:Habitual short duration sleepers reported an additional $1400 in total unadjusted health care expenditures compared to people with average sleep duration (P<0.01). After adjusting for demographics, socioeconomic factors, and health behavior factors, this difference remained significant with an additional $1278 in total health care expenditures over average duration sleepers (P<0.05). Long duration sleepers reported even higher, $2994 additional health care expenditures over average duration sleepers. This difference in health care expenditures remained significantly high ($1500, P<0.01) in the adjusted model. Expenditure differences are more pronounced for inpatient hospitalization, office expenses, prescription expenses, and home health care expenditures. CONCLUSIONS:Habitual short and long sleep duration is associated with higher health care expenditures, which is consistent with the association between unhealthy sleep duration and poorer health outcomes.