The sleep justice study - a prospective cohort study assessing sleep as a cardiometabolic risk factor after incarceration: a protocol paper.

BACKGROUND: An estimated 11 million individuals are released from U.S. jails and prisons each year. Individuals with a history of incarceration have higher rates of cardiovascular disease (CVD) events and mortality compared to the general population, especially in the weeks following release from carceral facilities. Healthy sleep, associated with cardiovascular health, is an underexplored factor in the epidemiology of CVD in this population. Incarcerated people may have unique individual, environmental, and institutional policy-level reasons for being sleep deficient. The social and physical environment within carceral facilities and post-release housing may synergistically affect sleep, creating disparities in sleep and cardiovascular health. Since carceral facilities disproportionately house poor and minoritized groups, population-specific risk factors that impact sleep may also contribute to inequities in cardiovascular outcomes. METHODS: This study is ancillary to an ongoing prospective cohort recruiting 500 individuals with known cardiovascular risk factors within three months of release from incarceration, the Justice-Involved Individuals Cardiovascular Disease Epidemiology (JUSTICE) study. The Sleep Justice study will measure sleep health among participants at baseline and six months using three validated surveys: the Pittsburgh Sleep Quality Index (PSQI), the STOP-Bang, and the Brief Index of Sleep Control. In a subsample of 100 individuals, we will assess sleep over the course of one week using wrist actigraphy, a validated objective measure of sleep that collects data on rest-activity patterns, sleep, and ambient light levels. Using this data, we will estimate and compare sleep health and its association with CVD risk factor control in individuals recently released from carceral facilities. DISCUSSION: The incarceration of millions of poor and minoritized groups presents an urgent need to understand how incarceration affects CVD epidemiology. This study will improve our understanding of sleep health among people released from carceral facilities and its potential relationship to CVD risk factor control. Using subjective and objective measures of sleep will allow us to identify unique targets to improve sleep health and mitigate cardiovascular risk in an otherwise understudied population.

Cardiometabolic disorders, inflammation and the incidence of non-alcoholic fatty liver disease: A longitudinal study comparing lean and non-lean individuals.

BACKGROUND: There is limited knowledge about the risk of non-alcoholic fatty liver disease (NAFLD) associated with cardiometabolic disorders in lean persons. This study examines the contribution of cardiometabolic disorders to NAFLD risk among lean individuals and compares to non-lean individuals. METHODS: We analyzed longitudinal data from 6,513 participants of a yearly voluntary routine health testing conducted at the Hospital Israelita Albert Einstein, Brazil. NAFLD was defined as hepatic ultrasound diagnosed fatty liver in individuals scoring below 8 on the alcohol use disorders identification test. Our main exposure variables were elevated blood glucose, elevated blood pressure (BP), presence of atherogenic dyslipidemia (AD, defined as the combination of elevated triglycerides and low HDL cholesterol) and physical inactivity (<150 minutes/week of moderate activity). We further assessed the risk of NAFLD with elevations in waist circumference and high sensitivity C-reactive protein (HsCRP). RESULTS: Over 15,580 person-years (PY) of follow-up, the incidence rate of NAFLD was 7.7 per 100 PY. In multivariate analysis adjusting for likely confounders, AD was associated with a 72% greater risk of NAFLD (IRR: 1.72 [95% CI:1.32-2.23]). Elevated blood glucose (IRR: 1.71 [95%CI: 1.29-2.28]) and physical inactivity (IRR: 1.46 [95%CI: 1.28-1.66]) were also independently associated with increased risk of NAFLD. In lean individuals, AD, elevated blood glucose and elevated BP were significantly associated with NAFLD although for elevated blood glucose, statistical significance was lost after adjusting for possible confounders. Physical inactivity and elevations in HsCRP were not associated with the risk of NAFLD in lean individuals only. Among lean (and non-lean) individuals, there was an independent association between progressively increasing waist circumference and NAFLD. CONCLUSION: Cardiometabolic risk factors are independently associated with NAFLD. However, there are significant differences in the metabolic risk predictors of NAFLD between lean and non-lean individuals. Personalized cardiovascular disease risk stratification and appropriate preventive measures should be considered in both lean and non-lean individuals to prevent the development of NAFLD.

Differences in Symptoms and Severity of Obstructive Sleep Apnea between Black and White Patients.

Rationale: Prior work suggests that Black patients have more severe obstructive sleep apnea (OSA) upon clinical presentation. However, the extent to which this may reflect differences in symptoms or other standard measures of OSA risk is unclear. Objectives: We assessed for racial disparities in OSA characteristics at time of initial clinical diagnosis. Methods: Data from 890 newly diagnosed patients with OSA at an urban academic sleep center were included in this analysis. All patients completed a standardized questionnaire on demographics and sleep-related symptoms and underwent laboratory polysomnography. Symptom severity at the time of evaluation was compared across race and sex. Results: Black men were underrepresented in the sleep lab, making up only 15.8% of the cohort and 31.3% of Black participants (P < 0.001). Despite this, Black men had the most severe OSA with a mean apnea hypopnea index of 52.4 ± 39.4 events/hour, compared with 39.0 ± 28.9 in White men, 33.4 ± 32.3 in Black women, and 26.2 ± 23.8 in White women (P < 0.001 for test of homogeneity). Black men also had the greatest burden of OSA symptoms with the highest mean Epworth Sleepiness Scale score (12.2 ± 5.9 versus 9.4 ± 5.2 in White men, 11.2 ± 5.9, in Black women, and 9.8 ± 5.6 in White women; P < 0.001). Compared with White men, Black men were 1.61 (95% CI [1.04-2.51]) times more likely to have witnessed apneas and 1.56 (95% CI [1.00-2.46]) times more likely to have drowsy driving at the time of OSA diagnosis. Conclusions: At the time of clinical diagnosis, Black men have greater disease severity, suggesting delay in diagnosis. Further, the greater burden of classic OSA symptoms suggests the delayed diagnosis of OSA in Black men is not due to atypical presentation. Further research is needed to identify why screening methods for OSA are not equitably implemented in the care of Black men.

Neighborhoods with Greater Prevalence of Minority Residents Have Lower Continuous Positive Airway Pressure Adherence.

Rationale: Limited data suggest racial disparities in continuous positive airway pressure (CPAP) adherence exist.Objectives: To assess whether CPAP adherence varies by neighborhood racial composition at a national scale.Methods: Telemonitoring data from a CPAP manufacturer database were used to assess adherence in adult patients initiating CPAP therapy between November 2015 and October 2018. Mapping ZIP code to ZIP code tabulation areas, age- and sex-adjusted CPAP adherence data at a neighborhood level was computed as a function of neighborhood racial composition. Secondary analyses adjusted for neighborhood education and poverty.Measurements and Main Results: Among 787,236 patients living in 26,180 ZIP code tabulation areas, the prevalence of CPAP adherence was 1.3% (95% confidence interval [CI], 1.0-1.6%) lower in neighborhoods with high (⩾25%) versus low (<1%) percentages of Black residents and 1.2% (95% CI, 0.9-1.5%) lower in neighborhoods with high versus low percentages of Hispanic residents (P < 0.001 for both), even after adjusting for neighborhood differences in poverty and education. Mean CPAP usage was similar across neighborhoods for the first 2 days, but by 90 days, differences in CPAP usage increased to 22 minutes (95% CI, 18-27 min) between neighborhoods with high versus low percentages of Black residents and 22 minutes (95% CI 17-27 min) between neighborhoods with high versus low percentages of Hispanic residents (P < 0.001 for both).Conclusions: CPAP adherence is lower in neighborhoods with greater proportions of Black and Hispanic residents, independent of education or poverty. These differences lead to a lower likelihood of meeting insurance coverage requirements for CPAP therapy, potentially exacerbating sleep health disparities.

Association of cardiovascular risk profile with healthcare expenditure and resource utilization in chronic obstructive pulmonary disease, with and without atherosclerotic cardiovascular disease.

OBJECTIVE: Atherosclerotic cardiovascular disease (ASCVD) and chronic obstructive pulmonary disease (COPD) are among the leading causes of morbidity, mortality, and economic burden in the United States (US). While previous reports have shown that an optimal cardiovascular risk factor (CRF) profile is associated with improved outcomes among COPD patients, the impact of ASCVD and CRF on healthcare costs and resource utilization is not well described. METHODS: The Medical Expenditure Panel Survey (MEPS) database was used from 2011 to 2016 to study healthcare expenditure for COPD patients with and without ASCVD and across CRF profiles in a nationally representative population of adults in the United States. RESULTS: The study population consisted of 14,807 adults with COPD, representing 28 million cases annually. Presence of ASCVD was associated with higher reported expenditure across the spectrum of CRF profiles among those with COPD. On average, after adjusting for confounders, presence of ASCVD represented a mean difference per capita of $5438 (95% CI $4121 - $6754; p â€‹< â€‹0.001). Mean per capita expenditures were significantly higher comparing poor vs optimal CRF profiles, with marginal expenditures of $8552 and $6531 among those with and without ASCVD, respectively. When comparing individuals with ASCVD and poor CRF profile versus individuals without ASCVD and optimal CRF profile, those in the latter group used 13% fewer prescription medications and required 24% fewer hospitalizations. Furthermore, an optimal CRF profile was associated with lower odds of most sources of healthcare utilization regardless of ASCVD status. CONCLUSION: An absence of ASCVD and a favorable CRF profile was associated with lower healthcare expenditure and resource utilization among patients with COPD. These results provide robust estimates for potential healthcare savings as preemptive strategies continue to become integrated into new healthcare delivery models, for increased awareness and the need for improvement of CRF profiles among high-risk patients.