Short Sleep Duration and Its Association with Obesity and Other Metabolic Risk Factors in Kuwaiti Urban Adults

ObjectivesWe analysed association between short sleep duration and prevalence of cardiovascular disease (CVD) in a multiethnic population living in the Netherlands, and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD, independent of CVD risk factors.Methods20 730 participants (aged 18–71 years) of the HELIUS (Healthy Life in an Urban Setting) Study were investigated. Self-reported sleep duration was classified as: short (<7 hours/night) and healthy (7–9 hours/night). Prevalence of CVD was assessed using the Rose Questionnaire on angina pectoris, intermittent claudication and possible myocardial infarction. Association of short sleep duration with prevalent CVD and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD were analysed using adjusted prevalence ratio(s) (PRs) with 95% CI.ResultsResults indicate that short sleep was associated with CVD among all ethnic groups with PRs ranging from 1.41 (95% CI 1.21 to 1.65) in Moroccans to 1.62 (95% CI 1.20 to 2.18) in Dutch after adjustment for age, sex and conventional CVD risk factors. The independent contributions of short sleep (in percentage) to ethnic differences in CVD compared with Dutch were 10%, 15%, 15%, 5% and 5% in South-Asian Surinamese, African-Surinamese, Ghanaian, Turkish and Moroccan, respectively.ConclusionShort sleep contributed to ethnic differences in CVD independent of well-known CVD risk factors particularly in Surinamese and Ghanaian groups. Reducing sleep deprivation may be a relevant entry point for reducing increased CVD risks among the various ethnic minority groups.

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Sleep and Association With Cardiovascular Risk Among Midwestern US Firefighters

Frontiers in Endocrinology ◽

10.3389/fendo.2021.772848 ◽

2021 ◽

Vol 12 ◽

Author(s):

Juan Luis Romero Cabrera ◽

Mercedes Sotos-Prieto ◽

Antonio García Ríos ◽

Steven Moffatt ◽

Costas A. Christophi ◽

...

Keyword(s):

Risk Factors ◽

Sleep Quality ◽

Sleep Duration ◽

Body Fat ◽

Cardiometabolic Risk ◽

Cross Sectional Study ◽

Cardiometabolic Risk Factors ◽

Short Sleep Duration ◽

Cross Sectional ◽

Short Sleep

IntroductionCardiovascular disease is the leading cause of on-duty fatalities among U.S. firefighters. Research has demonstrated that many modifiable risk factors are contributors to the high prevalence of cardiometabolic risk factors. The current study aimed to assess whether sleep is associated with cardiometabolic risk factors among Indianapolis firefighters. The findings could support improving sleep hygiene in this population.Material and MethodsThis cross-sectional study was conducted from the baseline data of eligible firefighters enrolled in “Feeding America’s Bravest”, a Mediterranean diet lifestyle intervention within the Indiana Fire Departments. Participants’ sleep quality was categorized as “good” (≤ 8 points) or “bad” (>8 points) by a sleep quality questionnaire based on some questions from Pittsburgh Sleep Quality Index. In addition, firefighters’ sleep duration was stratified based on the number of hours slept per night (≤6 as “short sleep” or >6 hours as normal). Linear and logistic regression models were used to examine the association of sleep with cardiometabolic risk factors.ResultsA total of 258 firefighters were included. Bad sleepers had higher weight, greater waist circumference, higher body mass index (BMI), and increased body fat (all p<0.01) compared to good sleepers. Similarly, participants with short sleep duration were heavier (p<0.02), had greater BMI (p<0.02) and increased body fat (p<0.04) compared with participants with normal sleep duration. Both bad and short sleepers had a higher prevalence of hypertension and obesity (p <0.05).ConclusionsOur study supports that both sleep quality and quantity are associated with cardiometabolic risk among firefighters.

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Modeling Sleep and Adiposity-Associated Cardiometabolic Disease Risk Factors: Protocol for the SLUMBRx Study (Preprint)

10.2196/preprints.27139 ◽

2021 ◽

Author(s):

Adam Knowlden ◽

John Higginbotham ◽

Michael Grandner ◽

John Allegrante

Keyword(s):

Risk Factors ◽

Sleep Duration ◽

Disease Risk ◽

Cardiometabolic Disease ◽

Health Issues ◽

Short Sleep Duration ◽

Short Sleep ◽

Adiposity Indices ◽

The Relationship ◽

Cardiometabolic Disease Risk

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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Association of short sleep duration with cardiometabolic risk factors in a population of rural Nigerian women: A cross-sectional study

International Journal of Medicine and Health Development ◽

10.4103/ijmh.ijmh_17_20 ◽

2020 ◽

Vol 25 (2) ◽

pp. 120

Author(s):

EkenechukwuE Young ◽

ChidimmaB Nwatu ◽

BelonwuM Onyenekwe ◽

ChiomaH Ezike ◽

EjioforT Ugwu ◽

...

Keyword(s):

Risk Factors ◽

Sleep Duration ◽

Cardiometabolic Risk ◽

Cross Sectional Study ◽

Cardiometabolic Risk Factors ◽

Sectional Study ◽

Short Sleep Duration ◽

Cross Sectional ◽

Nigerian Women ◽

Short Sleep

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Short Sleep Duration Is Related to Emerging Cardiovascular Risk Factors in Obese Children

Journal of Pediatric Gastroenterology and Nutrition ◽

10.1097/mpg.0000000000000868 ◽

2015 ◽

Vol 61 (5) ◽

pp. 571-576 ◽

Cited By ~ 26

Author(s):

María Navarro-Solera ◽

Joaquín Carrasco-Luna ◽

Gonzalo Pin-Arboledas ◽

Rebeca González-Carrascosa ◽

José M. Soriano ◽

...

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Sleep Duration ◽

Obese Children ◽

Short Sleep Duration ◽

Short Sleep

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637 Cumulative risk associated with poor sleep health in children and adolescents

SLEEP ◽

10.1093/sleep/zsab072.635 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A249-A250

Author(s):

Lauren Covington ◽

Xiaopeng Ji ◽

Janeese Brownlow ◽

Jean-Philippe Laurenceau

Keyword(s):

Risk Factors ◽

Children And Adolescents ◽

Sleep Duration ◽

Parental Education ◽

Cumulative Risk ◽

Poor Sleep ◽

Social Risk ◽

Short Sleep Duration ◽

Short Sleep ◽

Significant Moderator

Abstract Introduction Social risk factors are associated with poor sleep outcomes across the life course. It is unclear if this association varies based on biological factors, such as age and gender. Therefore, the purpose of this analysis was to identify if age or gender moderated the association between cumulative risk and sleep duration/regularity in a national sample of children and adolescents. Methods We completed a secondary data analysis using the National Survey of Children’s Health 2017–2018 publicly available dataset. In a sample of 36,997 children age 6–17 years, we explored the association between a social cumulative risk index score (CRI) and child sleep duration and regularity. We included eight dichotomous social risk variables in the CRI: parental education Results Age was a significant moderator of the association between CRI and short sleep duration, such that the magnitude of the CRI-sleep relationship was greater in school-age children (age 6–11; b = -0.13, p<0.001) compared to adolescents (age 12–17 years; b = -0.05, p<0.001). Age was not a significant moderator between CRI and sleep irregularity. However, CRI independently predicted increased odds of sleep irregularity (OR = 1.30, p<.001) and older age moderately increased the odds of sleep irregularity (OR = 1.21, p = 0.06). Sex was not a significant moderator of the association between CRI and sleep duration or sleep regularity. However, female sex was positively associated with sleep duration (b = 0.06, p = 0.11), but was not a significant independent predictor of sleep irregularity. Conclusion Younger children with cumulative risk factors are at risk for short sleep duration. Further research is needed to uncover biological mechanisms underlying multiple sleep parameters across developmental ages. Support (if any):

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