Dataset Information

Suboptimal sleep and incident cardiovascular disease among African Americans in the Jackson Heart Study (JHS).

ABSTRACT:

Background

Suboptimal sleep, including insufficient/long sleep duration and poor sleep quality, is a risk factor for cardiovascular disease (CVD) common but there is little information among African Americans, a group with a disproportionate CVD burden. The current study examined the association between suboptimal sleep and incident CVD among African Americans.

Methods

This study included 4,522 African Americans without CVD at baseline (2000-2004) of the Jackson Heart Study (JHS). Self-reported sleep duration was defined as very short (<6 h/night), short (6 h/night), recommended (7-8 h/night), and long (≥9 h/night). Participants' self-reported sleep quality was defined as "high" and "low" quality. Suboptimal sleep was defined by low quality sleep and/or insufficient/long sleep duration. Incident CVD was a composite of incident coronary heart disease and stroke. Associations between suboptimal sleep and incident CVD were examined using Cox proportional hazards models over 15 follow-up years with adjustment for predictors of CVD risk and obstructive sleep apnea.

Results

Sample mean age was 54 years (SD = 13), 64% female and 66% reported suboptimal sleep. Suboptimal sleep was not associated with incident CVD after covariate adjustment [HR(95% CI) = 1.18(0.97-1.46)]. Long [HR(95%CI) = 1.32(1.02-1.70)] and very short [HR(95% CI) = 1.56(1.06-2.30)] sleep duration were associated with incident CVD relative to recommended sleep duration. Low quality sleep was not associated with incident CVD (p = 0.413).

Conclusions

Long and very short self-reported sleep duration but not self-reported sleep quality were associated with increased hazard of incident CVD.

SUBMITTER: Butler MJ

PROVIDER: S-EPMC8175193 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Suboptimal sleep and incident cardiovascular disease among African Americans in the Jackson Heart Study (JHS).

Butler M J MJ Spruill T M TM Johnson D A DA Redline S S Sims M M Jenkins B C BC Booth J N JN Thomas S J SJ Abdalla M M O'Brien E C EC Mentz R J RJ Ogedegbe G G Williams N J NJ

Sleep medicine 20200914

<h4>Background</h4>Suboptimal sleep, including insufficient/long sleep duration and poor sleep quality, is a risk factor for cardiovascular disease (CVD) common but there is little information among African Americans, a group with a disproportionate CVD burden. The current study examined the association between suboptimal sleep and incident CVD among African Americans.<h4>Methods</h4>This study included 4,522 African Americans without CVD at baseline (2000-2004) of the Jackson Heart Study (JHS). ...[more]

PMID: 33129011

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Project description:BackgroundRacial differences in rapid kidney function decline exist, but less is known regarding factors associated with rapid decline among African Americans. Greater understanding of potentially modifiable risk factors for early kidney function loss may help reduce the burden of kidney failure in this high-risk population.Study designProspective cohort study.Setting & participants3,653 African American participants enrolled in the Jackson Heart Study (JHS) with kidney function data from 2 of 3 examinations (2000-2004 and 2009-2013). Estimated glomerular filtration rate (eGFR) was calculated from serum creatinine using the CKD-EPI creatinine equation.PredictorsDemographics, socioeconomic status, lifestyle, and clinical risk factors for kidney failure.OutcomesRapid decline was defined as a ≥30% decline in eGFR during follow-up. We quantified the association of risk factors with rapid decline in multivariable models.MeasurementsClinical (systolic blood pressure and albuminuria [albumin-creatinine ratio]) and modifiable risk factors.ResultsMean age was 54±12 (SD) years, 37% were men, average body mass index was 31.8±7.1kg/m(2), 19% had diabetes mellitus (DM), and mean eGFR was 96.0±20mL/min/1.73m(2) with an annual rate of decline of 1.27mL/min/1.73m(2). Those with rapid decline (11.5%) were older, were more likely to be of low/middle income, and had higher systolic blood pressures and greater DM than those with nonrapid decline. Factors associated with ≥30% decline were older age (adjusted OR per 10 years older, 1.51; 95% CI, 1.34-1.71), cardiovascular disease (adjusted OR, 1.53; 95% CI, 1.12-2.10), higher systolic blood pressure (adjusted OR per 17mmHg greater, 1.22; 95% CI, 1.06-1.41), DM (adjusted OR, 2.63; 95% CI, 2.02-3.41), smoking (adjusted OR, 1.60; 95% CI, 1.10-2.31), and albumin-creatinine ratio > 30mg/g (adjusted OR, 1.55; 95% CI, 1.08-1.21). Conversely, results did not support associations of waist circumference, C-reactive protein level, and physical activity with rapid decline.LimitationsNo midstudy creatinine measurement at examination 2 (2005-2008).ConclusionsRapid decline heterogeneity exists among African Americans in JHS. Interventions targeting potentially modifiable factors may help reduce the incidence of kidney failure.

Project description:RationaleAlthough chronic obstructive pulmonary disease has been related to heart failure, the relationship between the restrictive spirometry pattern (forced vital capacity [FVC] < 80% predicted with preserved forced expiratory volume in 1 second [FEV1]/FVC ratio) and heart failure is poorly understood.ObjectivesTo determine whether having a restrictive spirometry pattern is associated with incident heart failure hospitalization.MethodsCommunity-dwelling African Americans from the Jackson Heart Study (total n = 5,306; analyzed n = 4,210 with spirometry and heart failure outcome data) were grouped by restrictive spirometry (FEV1/FVC ≥ 0.70, FVC < 80%; n = 840), airflow obstruction (FEV1/FVC < 0.70; n = 341), and normal spirometry (FEV1/FVC ≥ 0.70, FVC ≥ 80%; n = 3,029) at the time of baseline examination in 2000-2004. We assessed relationships of echocardiographic parameters and biomarkers with spirometry patterns using regression models. Incident heart failure was defined as an adjudicated hospitalization for heart failure after January 1, 2005 in subjects with no self-reported heart failure history. We used multivariable-adjusted Poisson regression models and Cox proportional hazards models, with death treated as a competing risk in the Cox models, to test associations between spirometry patterns and incident heart failure. We also modeled the association of FVC% predicted with heart failure hospitalization risk using a restricted cubic spline after excluding subjects with airflow obstruction.ResultsAt the time of baseline spirometry, participants with restrictive spirometry had a median age of 57.2 years (interquartile range, 47.8-64.1); 38.1% were male. Compared with normal spirometry, restrictive spirometry was associated with a higher transmitral early (E) wave velocity to atrial (A) wave velocity ratio, higher pulmonary artery systolic pressure, and higher endothelin levels. After a median follow-up time of 8.0 years, 8.0% of subjects with restrictive spirometry (n = 67) had developed incident heart failure, compared with 3.8% of those with normal spirometry (n = 115) and 10.6% of those with airflow obstruction (n = 36). After risk adjustment, both a restrictive pattern (hazard ratio [HR], 1.5; 95% confidence interval [CI], 1.1-2.0) and airflow obstruction (HR, 1.7; 95% CI, 1.1-2.5) were associated with increased rates of incident heart failure hospitalization compared with normal spirometry. Using flexible modeling, the lowest hazards of heart failure hospitalization were observed around FVC 90-100%, with lower FVC% values associated with an increased incidence of heart failure.ConclusionsBoth a restrictive pattern on spirometry and airflow obstruction identify African Americans with impaired lung health at risk for heart failure.

Dataset Information

Suboptimal sleep and incident cardiovascular disease among African Americans in the Jackson Heart Study (JHS).

Background

Methods

Results

Conclusions

Publications

Suboptimal sleep and incident cardiovascular disease among African Americans in the Jackson Heart Study (JHS).

Similar Datasets

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