Short sleep duration, shift work, and actual days taken off work are predictive life-style risk factors for new-onset metabolic syndrome: a seven-year cohort study of 40,000 male workers

2017 ◽  
Vol 39 ◽  
pp. 87-94 ◽  
Author(s):  
Osamu Itani ◽  
Yoshitaka Kaneita ◽  
Mikiko Tokiya ◽  
Maki Jike ◽  
Atsushi Murata ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Shift Work ◽  
Life Style ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
New Onset ◽  
Male Workers

Relationship between short sleep duration and cardiovascular risk factors in a multi-ethnic cohort – the helius study

2015 ◽  
Vol 16 (12) ◽  
pp. 1482-1488 ◽  
Author(s):  
Kenneth Anujuo ◽  
Karien Stronks ◽  
Marieke B. Snijder ◽  
Girardin Jean-Louis ◽  
Femke Rutters ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Helius Study

scholarly journals Contribution of short sleep duration to ethnic differences in cardiovascular disease: results from a cohort study in the Netherlands

BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e017645 ◽  
Author(s):  
Kenneth Anujuo ◽  
Charles Agyemang ◽  
Marieke B Snijder ◽  
Girardin Jean-Louis ◽  
Bert-Jan van den Born ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
The Netherlands ◽  
Sleep Duration ◽  
Ethnic Differences ◽  
Urban Setting ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Short Sleep Duration ◽  
Short Sleep

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.

scholarly journals The association of sleep duration and metabolic syndrome in the Bandare-Kong cohort study, a cross-sectional survey (finding from PERSIAN cohort study)

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Shideh Rafati ◽  
Maryam Isheh ◽  
Abnoos Azarbad ◽  
Farhad Ghadiri Soufi ◽  
Arash Rahimi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Severity Score ◽  
Additive Models ◽  
Cross Sectional Survey ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

Abstract Background A variety of health problems, such as metabolic syndrome (MetS), have been linked to sleep disorders. While numerous epidemiological studies have shown a U-shaped relationship between sleep duration and poor health outcomes, the results were limited and inconsistent. This study was designed to evaluate the relationship between sleep duration and MetS. Methods This population-based study was conducted on the participants aged 35–70 of Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of Prospective Epidemiological Research Studies in IrAN (PERSIAN). MetS was diagnosed according to the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). Sleep information was extracted through a standard questionnaire based on self-reported information. Data were analyzed by R software using generalized additive models (GAMs). A statistically significant level was considered as P < 0.05. Results A total of 3695 participants were included in the analyses. The mean age was 48.05 years (SD 9.36), and 2067 (55.9%) were female. The estimated Prevalence of MetS was 35.9%, and women appeared to be more likely to have MetS than men (P < 0.001). There was a non-linear and linear association between sleep duration and the risk of MetS in women and men, respectively. The lowest risk was observed among those with 7–7.5 h of sleep duration per night. Conclusion Long sleep duration was associated with increased risk of MetS and higher MetS severity score in both genders, while the short sleep duration increased the risk of Mets as well as MetS severity score just in women. The longitudinal studies would be suggested to assess the relationship between sleep quality and quantity components and MetS.

scholarly journals Sleep and Association With Cardiovascular Risk Among Midwestern US Firefighters

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” (&gt;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 &gt;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&lt;0.01) compared to good sleepers. Similarly, participants with short sleep duration were heavier (p&lt;0.02), had greater BMI (p&lt;0.02) and increased body fat (p&lt;0.04) compared with participants with normal sleep duration. Both bad and short sleepers had a higher prevalence of hypertension and obesity (p &lt;0.05).ConclusionsOur study supports that both sleep quality and quantity are associated with cardiometabolic risk among firefighters.

scholarly journals Longitudinal associations of military-related factors on self-reported sleep among U.S. service members

SLEEP ◽  
2021 ◽  
Author(s):  
Adam D Cooper ◽  
Claire A Kolaja ◽  
Rachel R Markwald ◽  
Isabel G Jacobson ◽  
Evan D Chinoy
Keyword(s):  
Sleep Duration ◽  
Service Members ◽  
Short Sleep Duration ◽  
Related Factors ◽  
Short Sleep ◽  
Increased Risk ◽  
The Military ◽  
Insomnia Symptoms ◽  
Over Time ◽  
New Onset

Abstract Study Objectives Sleep loss is common in the military, which can negatively affect health and readiness; however, it is largely unknown how sleep varies over a military career. This study sought to examine the relationships between military-related factors and the new onset and reoccurrence of short sleep duration and insomnia symptoms. Methods Millennium Cohort Study data were used to track U.S. military service members over time to examine longitudinal changes in sleep. Outcomes were self-reported average sleep duration (categorized as ≤5 hours, 6 hours, or 7–9 hours [recommended]) and/or insomnia symptoms (having trouble falling or staying asleep). Associations between military-related factors and the new onset and reoccurrence of these sleep characteristics were determined, after controlling for multiple health and behavioral factors. Results Military-related factors consistently associated with an increased risk for new onset and/or reoccurrence of short sleep duration and insomnia symptoms included active duty component, Army or Marine Corps service, combat deployment, and longer than average deployment lengths. Military officers and noncombat deployers had decreased risk for either sleep characteristic. Time-in-service and separation from the military were complex factors; they lowered risk for ≤5 hours sleep but increased risk for insomnia symptoms. Conclusions Various military-related factors contribute to risk of short sleep duration and/or insomnia symptoms over time, although some factors affect these sleep characteristics differently. Also, even when these sleep characteristics remit, some military personnel have an increased risk of reoccurrence. Efforts to improve sleep prioritization and implement interventions targeting at-risk military populations, behaviors, and other significant factors are warranted.

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

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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