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

SLEEP ◽  
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):

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

Abstract P336: The Association Between Goal-Striving Stress, Sleep Duration and Sleep Quality in the Jackson Heart Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Loretta Cain ◽  
LáShauntá Glover ◽  
Dayna Johnson ◽  
Mario Sims
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Jackson Heart Study ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Goal Striving ◽  
Heart Study

Introduction: Research shows that compared to non-Hispanic whites, African Americans (AAs) have poorer sleep quality, lower mean sleep duration, and a higher prevalence of sleep-disordered breathing. AAs also report more frequent exposures to certain stressors over the life course, which may impact physiological processes that may impair sleep. Goal-striving-stress (GSS), the discrepancy between aspiration and achievement, weighted by the subjective probability of success, and the level of disappointment experienced if goals are not reached, may be an important stressor among AA’s that may influence sleep; however this has yet to be explored. The objective of this study was to assess the relationship between GSS and sleep duration and sleep quality in AAs. Hypothesis: We assessed the hypothesis that high (versus low) GSS would be associated with short or long sleep duration and poor sleep quality. Methods: We utilized data from the baseline exam of the Jackson Heart Study (JHS; n=5306), an AA sample of women and men, 35-84 years old. There were a total of 5082 participants in the sample; 63.34% female with a mean age of 55.30 (± 12.75) and mean sleep duration of 6.43 hours (±1.51). The sample was categorized into GSS tertiles: low (n=2121), moderate (n=1716), high (n=1296). Participants self-reported sleep duration (hours) and rated their sleep quality. Sleep duration was categorized as short ( < 6 hours), normal (7 or 8 hours) and long ( > 9 hours). Sleep quality was categorized as high (good/very good/excellent) and low (fair/poor). Logistic regression models were used to obtain odds ratios (OR, 95% confidence interval-CI) to assess the associations of GSS levels with sleep duration and sleep quality categories. Models were adjusted for sex, age, socioeconomic status, health behaviors, discrimination, and health outcomes. Results: Significant results showed that participants who reported high (versus low) GSS had a 29% increased odds [1.29 (1.10, 1.52)] of short (versus normal) sleep after full adjustment. Participants who reported high (versus low) GSS had a 42% increased odds [1.42 (1.20, 1.67)] of low (versus high) sleep quality after full adjustment. Conclusion In conclusion, the deficit between goal aspiration and achievement is associated with short sleep duration and poor sleep quality. Potential interventions should consider the extent to which GSS may contribute to the development of short sleep duration and poor sleep quality.

scholarly journals 0927 Variations in Sleep and Glucose in Adolescents with Type 1 Diabetes

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A352-A353
Author(s):  
S Griggs ◽  
N S Redeker ◽  
S Jeon ◽  
M Grey
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Glucose Variability ◽  
Poor Sleep ◽  
Short Sleep Duration ◽  
High Blood Glucose ◽  
Short Sleep

Abstract Introduction The association between short sleep duration and poorer glycemic control in adolescents ages 10-16 with type 1 diabetes (T1D) is well established. Researchers have used cross-sectional, between-subjects’ methods, with limited focus on the potential intraindividual variation among these variables. The purpose of this analysis was to examine the within person associations between glucose variability indices (J index, low/high blood glucose index, time in range) and sleep characteristics (bedtime, waketime, total sleep time, sleep efficiency, wake after sleep onset [WASO], awakenings, and sleep fragmentation index) in adolescents with T1D. Methods Adolescents monitored their sleep and glucose patterns concurrently for 3-7 days with a wrist actigraph on their non-dominant wrist and either their own continuous glucose monitor (CGM) or a provided blinded CGM. General linear mixed models (GLMM) were used to determine within-person and day level associations. Results The sample included 38 adolescents (M age 13.4±1.8; 37.8% male; M A1C 8.2±1.2%). Average glucose levels were controlled in all GLMMs. Adolescents had earlier waketimes on days when more time was spent in hypoglycemia &lt;70mg/dL (β=-0.15, p&lt;0.001). At the person level, adolescents had greater WASO with more % time spent in severe hypoglycemia &lt;54mg/dL with more severe low blood glucose indices (β=0.35, p&lt;0.01 and β=0.34, p&lt;0.01 respectively). At the daily level, adolescents had greater WASO (β=0.20, p=0.01) and more awakenings (β=0.16, p=0.04) on the days they had more overall glucose variability (J index) and more severe high blood glucose indices (β=0.17, p=0.04), but were less likely to have more % time in hypoglycemia (β=-0.15, p=0.02). Conclusion Glucose variability was positively associated with poor sleep (e.g., WASO and awakenings) in adolescents with T1D both at the daily and intraindividual level. Monitoring over a longer period of time in subsequent studies would allow researchers to determine the within person associations between habitual short sleep duration and glucose variability. Support NINR T32NR0008346 & P20NR014126, Medtronic MiniMed provided CGMs at a discounted rate for the 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 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 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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