Sleep Quality among Homeless-Experienced Older Adults: Exploratory Results from the HOPE HOME Study.

BACKGROUND: Sleep is essential to health and affected by environmental and clinical factors. There is limited longitudinal research examining sleep quality in homeless older adults. OBJECTIVE: To examine the factors associated with poor sleep quality in a cohort of older adults in Oakland, California recruited while homeless using venue-based sampling and followed regardless of housing status. DESIGN: Longitudinal cohort study. PARTICIPANTS: 244 homeless-experienced adults aged ≥ 50 from the Health Outcomes in People Experiencing Homelessness in Older Middle Age (HOPE HOME) cohort. MAIN MEASURES: We assessed sleep quality using the Pittsburgh Sleep Quality Index (PSQI). We captured variables via biannual questionnaires and clinical assessments. KEY RESULTS: Our sample was predominantly men (71.3%), Black (82.8%), and had a median age of 58.0 years old (IQR 54.0, 61.0). Two-thirds of participants (67.2%) reported poor sleep during one or more study visits; sleep duration was the worst rated subdomain. In a multivariable model, having moderate-to-severe depressive symptoms (AOR 2.03, 95% CI 1.40-2.95), trouble remembering (AOR 1.56, 95% CI 1.11-2.19), fair or poor physical health (AOR 1.49, 95% CI 1.07-2.08), two or more chronic health conditions (AOR 1.76, 95% CI 1.18-2.62), any ADL impairment (AOR 1.85, 95% CI 1.36-2.52), and being lonely (AOR 1.55, 95% CI 1.13-2.12) were associated with increased odds of poor sleep quality. Having at least one confidant was associated with decreased odds of poor sleep (AOR 0.56, 95% CI 0.37-0.85). Current housing status was not significantly associated with poor sleep quality. CONCLUSIONS: Homeless-experienced older adults have a high prevalence of poor sleep. We found that participants' physical and mental health was related to poor sleep quality. Poor sleep continued when participants re-entered housing. Access to physical and mental healthcare, caregiving support, and programs that promote community may improve homeless-experienced older adults sleep quality, and therefore, their overall health.

Cigarette Smoking, Incident Coronary Heart Disease, and Coronary Artery Calcification in Black Adults: The Jackson Heart Study.

Background Although Black adults are more likely to die from coronary heart disease (CHD) compared with White adults, few studies have examined the relationship between cigarette smoking and CHD risk among Black adults. We evaluated the relationship between cigarette smoking, incident CHD, and coronary artery calcification in the JHS (Jackson Heart Study). Methods and Results We classified JHS participants without a history of CHD (n=4432) by self-reported baseline smoking status into current, former (smoked at least 400 cigarettes/life) or never smokers at baseline (2000-2004). We further classified current smokers by smoking intensity (number of cigarettes smoked per day [1-19 or ≥20]) and followed for incident CHD (through 2016). Hazard ratios (HR) for incident CHD for each smoking group compared with never smokers were estimated with adjusted Cox proportional hazard regression models. At baseline, there were 548 (12.4%) current, 782 (17.6%) former, and 3102 (70%) never smokers. During follow-up (median, 13.8 years), 254 participants developed CHD. After risk factor adjustment, CHD risk was significantly higher in current smokers compared with never smokers (HR, 2.11; 95% CI, 1.39-3.18); the difference between former smokers and never smokers (HR, 1.37; 95% CI, 1.0-1.90) did not achieve statistical significance. Among current smokers, we did not observe a dose-response effect for CHD risk. Additionally, in multivariable logistic regression models with a subset of our analytic cohort, current smokers had greater odds of coronary artery calcification score >0 compared with never smokers (odds ratio, 2.63; 95% CI, 1.88-3.68). Conclusions In a large prospective cohort of Black adults, current smoking was associated with a >2-fold increased risk of CHD over a median follow-up of greater than a decade.

Joint modelling of longitudinal lipids and time to coronary heart disease in the Jackson Heart Study.

BACKGROUND: Multiple longitudinal responses together with time-to-event outcome are common in biomedical studies. There are several instances where the longitudinal responses are correlated with each other and at the same time each longitudinal response is associated with the survival outcome. The main purpose of this study is to present and explore a joint modeling approach for multiple correlated longitudinal responses and a survival outcome. The method will be illustrated using the Jackson Heart Study (JHS), which is one of the largest cardiovascular studies among African Americans. METHODS: Four longitudinal responses, i.e., total cholesterol (TC), high density lipoprotein (HDL) cholesterol, triglyceride (TG) and inflammation measured by high-sensitivity C-reactive protein (hsCRP); and time-to-coronary heart disease (CHD) were considered from the JHS. The repeated lipid and hsCRP measurements from a given subject overtime are likely correlated with each other and could influence the subject's risk for CHD. A joint modeling framework is considered. To deal with the high dimensionality due to the multiple longitudinal profiles, we use a pairwise bivariate model fitting approach that was developed in the context of multivariate Gaussian random effects models. The method is further explored through simulations. RESULTS: The proposed model performed well in terms of bias and relative efficiency. The JHS data analysis showed that lipid and hsCRP trajectories could exhibit interdependence in their joint evolution and have impact on CHD risk. CONCLUSIONS: We applied a unified and flexible joint modeling approach to analyze multiple correlated longitudinal responses and survival outcome. The method accounts for the correlation among the longitudinal responses as well as the association between each longitudinal response and the survival outcome at once. This helps to explore how the combination of multiple longitudinal trajectories could be related to the survival process.

Relation of Low Normal Left Ventricular Ejection Fraction to Heart Failure Hospitalization in Blacks (From the Jackson Heart Study).

There is no clear consensus on a lower cutoff value for normal left ventricular ejection fraction (EF) and the prognostic implications of low normal EF (LNEF) are poorly understood, particularly in Blacks. Therefore, we investigated the association of LNEF and incident heart failure (HF) in a community-based cohort of Blacks. We studied 3,669 participants (mean age 54 years, 63% women) of the Jackson Heart Study without prevalent HF or coronary heart disease (CHD). Participants were divided into three groups: (1) Reduced EF (<50%), (2) LNEF (≥50%, <55%), and (3) Normal EF (≥55%). There were 197 cases of incident HF hospitalizations over a median follow-up of 10 years (interquartile range 9.4 to 10). After adjustment for conventional risk factors and incident CHD, the LNEF group had a higher rate of incident HF hospitalization than the Normal EF group (HR 1.58, 95% CI 1.04 to 2.38, p<0.05). Furthermore, this relation remained statistically significant after additionally adjusting for LV mass index but was not significant after adjusting for LV diastolic dysfunction grade. In participants with LNEF with incident HF, 63% developed HF with reduced EF and 37% developed HF with preserved EF. In conclusion, LNEF is associated with higher risk of incident HF hospitalization in comparison with normal EF in a community-based cohort of Blacks. In those with LNEF who went on to develop HF, most cases were HF with reduced EF. These findings suggest that strategies are needed for risk stratification and management to improve outcomes in patients with LNEF.

Cigarette Smoking and Incident Stroke in Blacks of the Jackson Heart Study.

Background Blacks are disproportionately affected by stroke compared with whites; however, less is known about the relationship between stroke and cigarette smoking in blacks. Therefore, we evaluated the relationship between cigarette smoking and all incident stroke in the JHS (Jackson Heart Study). Methods and Results JHS participants without a history of stroke (n=4410) were classified by self-reported baseline smoking status into current, past (smoked at least 400 cigarettes/life), or never smokers at baseline (2000-2004). Current smokers were further classified by smoking intensity (number of cigarettes smoked per day [1-19 and ≥20]) and followed up for incident stroke (through 2015). Hazard ratios (HRs) for incident stroke for current and past smoking compared with never smoking were estimated with adjusted Cox proportional hazard regression models. After adjusting for cardiovascular risk factors, the risk for stroke in current smokers was significantly higher compared with never smokers (HR, 2.48; 95% CI, 1.60-3.83) but there was no significant difference between past smokers and never smokers (HR, 1.10; 95% CI, 0.74-1.64). There was a dose-dependent increased risk of stroke with smoking intensity (HR, 2.28 [95% CI, 1.38-3.86] and HR, 2.78 [95% CI, 1.47-5.28] for current smokers smoking 1-19 and ≥20 cigarettes/day, respectively). Conclusions In a large cohort of blacks, current cigarette smoking was associated with a dose-dependent higher risk of all stroke. In addition, past smokers did not have a significantly increased risk of all stroke compared with never smokers, which suggests that smoking cessation may have potential benefits in reducing the incidence of stroke in blacks.