0872 Sleep Duration and Cardiometabolic Disease Risk in Native Hawaiians

BACKGROUND Obesity and short sleep duration are significant public health issues. Current evidence suggests these conditions are associated with cardiovascular disease, metabolic syndrome, inflammation, and premature mortality. Increased interest in the potential link between obesity and short sleep duration, and its health consequences, has been driven by: 1) the apparent parallel increase in prevalence of both conditions in recent decades; 2) their overlapping association with cardiometabolic outcomes; and 3) the potential causal connection between the two health issues. The Short Sleep Undermines Cardiometabolic Health (SLUMBRx) Study seeks to contribute to the development of a comprehensive adiposity-sleep model, while laying the groundwork for a future program of research that will be designed to prevent and treat adiposity and sleep-related cardiometabolic disease risk factors. OBJECTIVE SLUMBRx addresses four topics pertinent to the adiposity-sleep hypothesis: 1) the relationship between adiposity and sleep duration; 2) sex-based differences in the relationship between adiposity and sleep duration; 3) influence of adiposity indices and sleep duration on cardiometabolic outcomes; and 4) the role of socioecological factors as effect modifiers in the relationship between adiposity indices, sleep, and cardiometabolic outcomes. METHODS SLUMBRx will employ a large-scale survey (n=1,000) that recruits 159 participants (53 normal weight, 53 overweight, and 53 obese) to be assessed in two phases. RESULTS Phase 1, a lab-based study, will gather objective adiposity indices (air displacement plethysmography and anthropometrics) and cardiometabolic data (blood pressure, pulse wave velocity and pulse wave analysis, and blood-based biomarker). Phase 2, a one-week, home-based study, will gather sleep-related data (home sleep testing/sleep apnea, actigraphy, sleep diaries). During Phase 2, detailed demographic and socioecological data will be collected to contextualize hypothesized adiposity and sleep-associated cardiometabolic disease risk factors. Collection and analyses of these data will yield information necessary to customize future observational and intervention research. CONCLUSIONS Precise implementation of the SLUMBRx protocol promises to provide objective, empirical data on the interaction between body composition and sleep duration. The hypotheses that will be tested by SLUMBRx are important for understanding the pathogenesis of cardiometabolic disease and for developing future public health interventions to prevent its conception and treat its consequences. CLINICALTRIAL https://projectreporter.nih.gov/project_info_description.cfm?aid=9822114&icde=45818775

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Interethnic Differences in Serum Lipids and Implications for Cardiometabolic Disease Risk in African Ancestry Populations

Global Heart ◽

10.1016/j.gheart.2017.01.011 ◽

2017 ◽

Vol 12 (2) ◽

pp. 141 ◽

Cited By ~ 20

Author(s):

Amy R. Bentley ◽

Charles N. Rotimi

Keyword(s):

Serum Lipids ◽

Disease Risk ◽

African Ancestry ◽

Cardiometabolic Disease ◽

Interethnic Differences ◽

Cardiometabolic Disease Risk

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Inflammatory markers are altered in severe mental disorders independent of comorbid cardiometabolic disease risk factors – ERRATUM

Psychological Medicine ◽

10.1017/s0033291719000291 ◽

2019 ◽

Vol 49 (10) ◽

pp. 1758-1758

Author(s):

Ragni H. Mørch ◽

Ingrid Dieset ◽

Ann Færden ◽

Elina J. Reponen ◽

Sigrun Hope ◽

...

Keyword(s):

Risk Factors ◽

Mental Disorders ◽

Inflammatory Markers ◽

Disease Risk ◽

Cardiometabolic Disease ◽

Severe Mental Disorders ◽

Cardiometabolic Disease Risk

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Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases

American Journal of Clinical Nutrition ◽

10.1093/ajcn/nqaa194 ◽

2020 ◽

Vol 112 (4) ◽

pp. 967-978

Author(s):

Abishek Stanley ◽

John Schuna ◽

Shengping Yang ◽

Samantha Kennedy ◽

Moonseong Heo ◽

...

Keyword(s):

Health Risk ◽

Body Shape ◽

Metabolic Diseases ◽

Disease Risk ◽

White Men ◽

Normal Weight ◽

Cardiometabolic Disease ◽

Men And Women ◽

Distinct Phenotype ◽

Cardiometabolic Disease Risk

ABSTRACT Background The normal-weight BMI range (18.5–24.9 kg/m2) includes adults with body shape and cardiometabolic disease risk features of excess adiposity, although a distinct phenotype developed on a large and diverse sample is lacking. Objective To identify demographic, behavioral, body composition, and health-risk biomarker characteristics of people in the normal-weight BMI range who are at increased risk of developing cardiovascular and metabolic diseases based on body shape. Methods Six nationally representative waist circumference index (WCI, weight/height0.5) prediction formulas, with BMI and age as covariates, were developed using data from 17,359 non-Hispanic (NH) white, NH black, and Mexican-American NHANES 1999–2006 participants. These equations were then used to predict WCI in 5594 NHANES participants whose BMI was within the normal weight range. Men and women in each race/Hispanic-origin group were then separated into high, medium, and low tertiles based on the difference (residual) between measured and predicted WCI. Characteristics were compared across tertiles; P values for significance were adjusted for multiple comparisons. Results Men and women in the high WCI residual tertile, relative to their BMI and age-equivalent counterparts in the low tertile, had significantly lower activity levels; higher percent trunk and total body fat (e.g. NH white men, X ± SE, 25.3 ± 0.2% compared with 20.4 ± 0.2%); lower percent appendicular lean mass (skeletal muscle) and bone mineral content; and higher plasma insulin and triglycerides, higher homeostatic model assessment of insulin resistance (e.g. NH white men, 1.45 ± 0.07 compared with 1.08 ± 0.06), and lower plasma HDL cholesterol. Percent leg fat was also significantly higher in men but lower in women. Similar patterns of variable statistical significance were present within sex and race/ethnic groups. Conclusions Cardiometabolic disease risk related to body shape in people who are normal weight according to BMI is characterized by a distinct phenotype that includes potentially modifiable behavioral health risk factors.

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