Varied Sleep Patterns for Cardiometabolic Health
Palo Alto (17 mi)Overseen byMarie-Pierre St-Onge, PhD
Age: 18 - 65
Sex: Any
Travel: May be covered
Time Reimbursement: Varies
Trial Phase: N/A
Recruiting
Sponsor: Columbia University
No Placebo Group
Trial Summary
What is the purpose of this trial?The goal of this clinical trial is to test the impact of repeated intermittent short sleep, with short sleep maintained 5 days per week followed by 2 days of prolonged sleep, compared to daily adequate sleep, on energy balance and cardiometabolic risk. A secondary goal of this research is to determine if maintaining a constant midpoint of sleep while undergoing intermittent short sleep, leads to better outcomes than intermittent short sleep with a 2-hour delay in sleep midpoint. The aims of this research will be tested in the context of a 3-group, parallel-arm, outpatient intervention of 4 weeks in duration, in young-to-middle-aged adults (aged 18-49 years).
Is the treatment Intermittent Short Sleep (ISS) and Social Jetlag (SJL) a promising treatment for cardiometabolic health?Social Jetlag (SJL) is linked to increased risks of obesity, diabetes, and other heart-related issues. It shows potential in understanding and managing these health problems by highlighting the importance of regular sleep patterns.4591011
What safety data exists for varied sleep patterns affecting cardiometabolic health?The research indicates that social jetlag and short sleep are associated with increased cardiometabolic risk factors, such as higher BMI, obesity, and metabolic syndrome. These studies suggest that disruptions in sleep patterns, like social jetlag, may negatively impact cardiometabolic health, but they do not provide specific safety data for the treatment itself.14568
Do I have to stop taking my current medications for the trial?The trial does not specify if you need to stop taking your current medications. However, if you are taking beta-blockers, anti-coagulants, or anti-platelets, you are not eligible to participate.
What data supports the idea that Varied Sleep Patterns for Cardiometabolic Health is an effective treatment?The available research shows mixed results regarding the effectiveness of Varied Sleep Patterns for Cardiometabolic Health. Some studies suggest that irregular sleep patterns, like social jetlag, are linked to negative health outcomes such as higher body mass index, increased heart rate, and higher fasting glucose levels, which are risk factors for metabolic diseases. However, other studies indicate that sleep regularity, measured by different indicators, has a strong association with cardiometabolic diseases. Overall, while there is evidence that sleep patterns affect cardiometabolic health, the effectiveness of this treatment compared to others is not clearly established in the data provided.235710
Eligibility Criteria
This trial is for adults aged 18-49 with a BMI of 20-29.9 who usually sleep 7-9 hours without aids or naps. It's not for those who've recently changed weight, are in weight loss programs, have had bariatric surgery, smoke, have sleep disorders, take certain blood medications, have psychiatric conditions including eating disorders and seasonal affective disorder, are pregnant or breastfeeding, have high blood pressure on beta-blockers or diabetes.Inclusion Criteria
I usually sleep 7-9 hours a night without needing sleeping pills or naps.
I am between 18 and 49 years old.
Exclusion Criteria
I am currently taking blood thinners.
I have a psychiatric or eating disorder, or seasonal affective disorder.
I have diabetes.
I have high blood pressure and am taking beta-blockers.
Treatment Details
The study compares the effects of intermittent short sleep (5 days of less sleep followed by 2 days of more) to consistent adequate nightly sleep on heart health and metabolism over an eight-week period. It also examines if keeping a constant midpoint of sleep during short nights affects outcomes differently than shifting it later.
3Treatment groups
Experimental Treatment
Active Control
Group I: ISS_SJLExperimental Treatment2 Interventions
Intermittent short sleep with short jetlag (SJL) 5 nights of 5.5 hours time in bed 2 nights of 9.5 hours time in bed with constant bedtimes and delayed wake times
Group II: ISS_AloneExperimental Treatment1 Intervention
Intermittent short sleep (ISS) 5 nights of 5.5 hours time in bed 2 nights of 9.5 hours time in bed with advanced bedtimes and delayed wake times
Group III: Stable Adequate Sleep (SAS)Active Control1 Intervention
Participants will go to bed and wake up at the same time every night, maintaining adequate sleep duration.
Find a clinic near you
Research locations nearbySelect from list below to view details:
Columbia University Irving Medical CenterNew York, NY
Loading ...
Who is running the clinical trial?
Columbia UniversityLead Sponsor
Icahn School of Medicine at Mount SinaiCollaborator
University of Colorado, DenverCollaborator
National Heart, Lung, and Blood Institute (NHLBI)Collaborator
References
Social jetlag and obesity. [2022]Obesity has reached crisis proportions in industrialized societies. Many factors converge to yield increased body mass index (BMI). Among these is sleep duration. The circadian clock controls sleep timing through the process of entrainment. Chronotype describes individual differences in sleep timing, and it is determined by genetic background, age, sex, and environment (e.g., light exposure). Social jetlag quantifies the discrepancy that often arises between circadian and social clocks, which results in chronic sleep loss. The circadian clock also regulates energy homeostasis, and its disruption-as with social jetlag-may contribute to weight-related pathologies. Here, we report the results from a large-scale epidemiological study, showing that, beyond sleep duration, social jetlag is associated with increased BMI. Our results demonstrate that living "against the clock" may be a factor contributing to the epidemic of obesity. This is of key importance in pending discussions on the implementation of Daylight Saving Time and on work or school times, which all contribute to the amount of social jetlag accrued by an individual. Our data suggest that improving the correspondence between biological and social clocks will contribute to the management of obesity.
Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile? [2014]Social jetlag represents the discrepancy between circadian and social clocks, which is measured as the difference in hours in midpoint of sleep between work days and free days. Previous studies have shown social jetlag to be associated with body mass index (BMI), glycated hemoglobin levels, heart rate, depressive symptoms, smoking, mental distress and alcohol use. The objective of our current study was to investigate, in a group of 145 apparently healthy participants (67 men and 78 women, aged 18-55 years, BMI 18-35 kg/m(2)), the prevalence of social jetlag and its association with adverse endocrine, behavioral and cardiovascular risk profiles as measured in vivo. participants with ≥2 h social jetlag had higher 5-h cortisol levels, slept less during the week, were more often physically inactive and had an increased resting heart rate, compared with participants who had ≤1 h social jetlag. We therefore concluded that social jetlag is associated with an adverse endocrine, behavioral and cardiovascular risk profile in apparently healthy participants. These adverse profiles put healthy participants at risk for development of metabolic diseases and mental disorders, including diabetes and depression, in the near future.
Social jetlag and metabolic control in non-communicable chronic diseases: a study addressing different obesity statuses. [2019]Social jetlag - a measure of disruption of the circadian system - has been linked to obesity, but its association with metabolic complications in non-communicable chronic diseases (NCCDs) is unknown in the literature. We examined the associations between social jetlag and obesity status and metabolic parameters among individuals with NCCDs. Patients (n = 792) with NCCDs (obesity, systemic arterial hypertension, type 2 diabetes mellitus or dyslipidaemia) attended clinics of the public health service of the city of Uberlândia, Minas Gerais State, Brazil. They were classified in three obesity statuses: non-obese: BMI < 30 kg/m2; metabolically healthy obese (MHO): BMI ≥ 30 kg/m2 and less than three high-risk biomarkers for metabolic syndrome; and metabolically unhealthy obese (MUO): BMI ≥ 30 kg/m2 and with high-risk values on three or more biomarkers for metabolic syndrome. After adjustments for confounding variables, social jetlag was positively associated with fasting glucose levels among all subjects (β = 0.08, p = 0.03) and MUO subjects (β = 0.32, p < 0.001). Patients with social jetlag (>1 h) presented a significant odds ratio (OR) of being overweight (OR = 2.0, confidence interval (CI) = 1.2-3.6, p = 0.006) and MUO (OR = 1.8, CI = 1.1-2.8, p = 0.01). These results suggest that social jetlag is associated with a higher risk of overweight and related metabolic complications in individuals with NCCDs.
Association of social jetlag with metabolic syndrome among Japanese working population: the Furukawa Nutrition and Health Study. [2022]Social jetlag, ie, the mismatch between biological and social timing, has been suggested to induce obesity and cardiometabolic abnormalities. Yet, no study has currently linked social jetlag to metabolic syndrome (MetS) among Asians. The aim of this study was to investigate the cross-sectional association of social jetlag with MetS in a Japanese working population.
Associations of sleep duration and social jetlag with cardiometabolic risk factors in the study of Latino youth. [2021]We investigated associations of sleep duration and social jetlag with cardiometabolic outcomes.
Short sleep and social jetlag are associated with higher intakes of non-milk extrinsic sugars, and social jetlag is associated with lower fibre intakes in those with adequate sleep duration: a cross-sectional analysis from the National Diet and Nutrition Survey Rolling Programme (Years 1-9). [2023]To investigate associations and interactions between sleep duration and social jetlag status with nutrient intake, nutrient status, body composition and cardio-metabolic risk factors in a nationally representative UK adult population.
Associations of chronotype and sleep patterns with metabolic syndrome in the Hispanic community health study/study of Latinos. [2023]Sleep duration, sleep efficiency, and sleep timing have been shown to have potential effects on metabolic functions relevant to circadian rhythms. It is not clear if the impact of sleep patterns on metabolic risk factors is through sociocultural and environmental factors or circadian misalignment. We investigated the associations of sleep patterns, chronotype, and social jet lag with metabolic syndrome among non-shift worker Hispanic/Latino adults. We used cross-sectional data from the Sueño Ancillary Study of The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Data from a subsample of 2189 participants aged 18-64 years were used in the analysis. Mean nightly sleep duration, mean sleep onset time, mean sleep offset time, mean sleep midpoint time, sleep efficiency, sleep variability (standard deviation (SD) of sleep duration, and SD of sleep midpoint), and time spent above light exposure threshold (1000 lux) in a day were assessed by wrist actigraphy (Acti-watch Spectrum). Chronotype was determined by the reduced Morningness-Eveningness Questionnaire. Medical conditions including dyslipidemia, hypertension, and diabetes mellitus were determined from a fasting blood specimen and physical exam at the baseline visit. To determine whether sleep patterns, light levels, chronotype, and social jetlag are associated with metabolic syndrome, multivariable logistic regression models were fitted, including variables with P < .15 in the univariate analysis. The results of the multivariable analysis demonstrated that in participants older than 40 years, intermediate chronotype (vs early) was significantly associated with a higher risk of metabolic syndrome (Odds ratio (95%CI): 1.33 (1.04,1.7)), while later chronotype (vs. early) in participants younger than 40 years was significantly associated with a lower risk of metabolic syndrome (Odds ratio (95%CI): 0.37 (0.14, 0.96)). Also, higher sleep efficiency was significantly associated with decreased odds of metabolic syndrome (Odds ratio (95%CI): 0.98 (0.96, 0.99)). Nightly sleep duration was not significantly different between two groups of participants with and without metabolic syndrome in multivariable analyses. There was no significant association between social jet lag and metabolic syndrome in multivariable analysis (p = .286). Moreover, there was no significant association between chronotype and social jet lag in multivariable analysis. The association between metabolic syndrome and chronotype is age-dependent. While early chronotype is associated with metabolic syndrome in younger individuals, it tended to be associated with lower odds for metabolic syndrome in older individuals.
Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults. [2023]Social jetlag (SJL), the discrepancy in sleep timing between weekdays and weekends, is associated with higher BMI and cardiometabolic risk and is common in young adults. We examined whether chronic SJL impacts weight gain in young adults participating in a weight gain prevention trial.
The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis. [2022]The aim of the study was to evaluate the association between evening chronotype and social jetlag (SJL) with obesity, blood glucose and lipid levels in non-shift working adults.
Irregular sleep and cardiometabolic risk: Clinical evidence and mechanisms. [2023]Sleep regularity is an essential part of the multidimensional sleep health framework. The phenomenon of irregular sleep patterns is widespread in contemporary lifestyles. This review synthesizes clinical evidence to summarize the measures of sleep regularity and discusses the role of different sleep regularity indicators in developing cardiometabolic diseases (coronary heart disease, hypertension, obesity, and diabetes). Existing literature has proposed several measurements to assess sleep regularity, mainly including the standard deviation (SD) of sleep duration and timing, sleep regularity index (SRI), interdaily stability (IS), and social jetlag (SJL). Evidence on associations between sleep variability and cardiometabolic diseases varies depending on the measure used to characterize variability in sleep. Current studies have identified a robust association between SRI and cardiometabolic diseases. In comparison, the association between other metrics of sleep regularity and cardiometabolic diseases was mixed. Meanwhile, the associations of sleep variability with cardiometabolic diseases differ across the population. SD of sleep characteristics or IS may be more consistently associated with HbA1c in patients with diabetes compared with the general population. The association between SJL and hypertension for patients with diabetes was more accordant than in the general population. Interestingly, the age-stratified association between SJL and metabolic factors was observed in the present studies. Furthermore, the relevant literature was reviewed to generalize the potential mechanisms through which irregular sleep increases cardiometabolic risk, including circadian dysfunction, inflammation, autonomic dysfunction, hypothalamic-pituitary-adrenal (HPA) axis disorder, and gut dysbiosis. Health-related practitioners should give more attention to the role of sleep regularity on human cardiometabolic in the future.
Cardiometabolic risk factors and social jetlag in university professors. [2023]Chronic stress leads to circadian disruption, with variability in sleep time and duration. This scenario increases the prevalence and incidence of cardiometabolic abnormalities. Social jetlag (SJL), a proxy of circadian disruption, has been associated with increased vulnerability to the development of metabolic syndrome, obesity, and type 2 diabetes. This research aimed to evaluate how variables associated with cardiometabolic risk are related to SJL and poor sleep among university professors. From 2018 to 2019, full-time university professors (n=103) with a mean age of 44±5.4 years were assessed for sleep quality, chronotype, SJL, metabolic components, sociodemographic characteristics, and physical evaluation. Sleep quality and weekday sleep duration were associated with stress (r=0.44 and r=-0.34) and anxiety (r=0.40), respectively. Mean sleep duration (n=65) was 7.0±1.1 h and all professors with poor sleep (41.2%; n=28) worked 40 h/week. Professors who slept less were significantly (r=-0.25) older, and teaching time (years) was positively correlated with blood glucose (r=0.42). Mean SJL was 59.8 ±4.5 min (n=68) and 48.5% of these professors had values ≤1 h and 51.4% ≥1 h. SJL and blood glucose concentration were associated (r=0.35), which reinforced that challenges to the circadian system reverberate on metabolism. In this study, professors at the Federal University of Rio Grande do Norte had cardiometabolic risks related to anxiety, stress, and sleep quality.