Suboptimal Sleep Duration Research Articles

From the Workroom to the Bedroom: Work-to-Home Spillover as a Mechanism Linking Work Characteristics to Sleep Health.

Work may influence the home domain and subsequently impact employee sleep. Past work found that negative spillover mediated the relationship between perceived unfairness about work and insomnia symptoms across 20 years. As an extension of past work, this study investigated whether negative spillover and positive spillover mediate the relationship between job demands (perceived unfairness, job discrimination) and job resources (coworker and supervisor support) on multidimensional sleep health. Two waves of survey data from a subset of full-time workers were obtained from the Midlife in the United States Study approximately 10 years apart. A sleep health composite captured irregularity, dissatisfaction, nap frequency, inefficiency, and suboptimal sleep duration (higher=more sleep health problems). PROCESS Macro evaluated cross-sectional (T1) and sequential (T1 exposureaT1 mediatoraT2 outcome) mediation pathways, adjusting for sociodemographic characteristics, physical health, neuroticism, and work hours. Both cross-sectionally and prospectively, higher negative spillover mediated the association of higher unfairness with more sleep health problems, and the association between higher discrimination and more sleep health problems. There was no support for positive spillover as a mediator between job resources and sleep health cross-sectionally or prospectively. Findings suggest that organizations should reduce the amount of negative spillover by limiting instances of unfairness and discrimination at work to promote specific aspects of employee sleep health such as sleep irregularity, dissatisfaction, efficiency, and nap frequency.

Association Between Adverse Childhood Experiences and Sleep Duration in US Children: Analysis of 2020-2021 National Survey of Children's Health.

Adverse childhood experiences (ACEs) and suboptimal sleep both negatively associate with cardiovascular health. Although an association between ACEs and suboptimal sleep in youth has been reported, there has been no investigation for differential effects among ACE subdomains. We examined associations between total and subdomain ACEs and sleep duration, and age as a moderator. Using the 2020-2021 National Survey of Children's Health and the American Heart Association Life's Essential 8 scoring algorithm, we created 3 sleep subgroups: (1) optimal, (2) suboptimal (≥1 to <2 hours below or ≥1 hour above optimal), and (3) very suboptimal (≥2 hours below optimal). We assessed association between ACEs (total and subdomains) and sleep duration using multinomial logistic regression, controlling for sex, age, race/ethnicity, caregiver's education, household income, habitual bedtime, and physical activity. We tested the interactions between ACEs and child's age. In children aged 6 to 17 years (N = 58 964), mean sleep duration score was 77.2 (95% confidence interval, 76.6-77.9). The mean number of ACEs was 0.89 (95% confidence interval, 0.87-0.91). Adjusting for covariates, each additional ACE increased the likelihood of falling into the suboptimal subgroup by 8% and the very suboptimal subgroup by 26%. There was an association between each subdomain of ACE and suboptimal sleep duration, with no significant interaction with age. Our findings show a dose-response relationship between ACEs and suboptimal sleep duration-a new cardiovascular health indicator in Life's Essential 8. Healthcare providers should screen for ACEs and suboptimal sleep in children to reduce future cardiovascular disease risk.

Long-term trajectories of sleep duration are associated with incident diabetes in middle-to-older-aged Black and White Americans.

Both short and long sleep durations have been linked to higher diabetes risk. However, sleep duration may vary over time, and there has been limited research focusing on individual sleep trajectories and diabetes risk. There are substantial racial disparities in both sleep health and diabetes risk in the USA. Thus, it is important to understand the role of suboptimal sleep patterns in diabetes risk in different racial groups. We assessed long-term trajectories of sleep duration and incident diabetes in 22,285 Black adults (mean age ± SD, 51.1 ± 8.2 years; 64.8% women) and 13,737 White adults (mean age ± SD, 54.4 ± 9.0 years; 63.8% women) enrolled in the Southern Community Cohort Study. Nine sleep trajectories were derived based on self-reported sleep duration at baseline and after a mean of 5 years of follow-up: normal-normal (reference), short-normal, normal-short, short-short, long-normal, normal-long, long-long, long-short and short-long. Diabetes was reported using a validated questionnaire. Multivariable-adjusted logistic regression was used to determine relationships between sleep trajectories and incident diabetes. When compared with the normal-normal trajectory, suboptimal sleep trajectories were associated with higher likelihoods of developing diabetes (OR; 95% CI: short-normal 1.19; 1.09, 1.31; normal-short 1.14; 1.02, 1.27; short-short 1.17; 1.07, 1.28; long-normal 1.13; 0.98, 1.30; normal-long 1.16; 1.00, 1.34; long-long 1.23; 1.02, 1.48; long-short 1.45; 1.19, 1.77; short-long 1.51; 1.28, 1.77). Stratified analyses by race and socioeconomic status (i.e. education and household income) showed that most suboptimal sleep trajectories were consistently associated with incident diabetes in all sociodemographic subgroups. We also noted potential interaction with race and education for several sleep trajectories (i.e. short-long and normal-short with race; long-long and short-short with education). Adults with suboptimal sleep duration trajectories are more likely to develop incident diabetes. Future research is needed to study how sociodemographic factors modulate this relationship.

Suboptimal self-reported sleep efficiency and duration are associated with faster accumulation of brain amyloid beta in cognitively unimpaired older adults.

This study investigated whether self-reported sleep quality is associated with brain amyloid beta (Aβ) accumulation. Linear mixed effect model analyses were conducted for 189 cognitively unimpaired (CU) older adults (mean±standard deviation 74.0±6.2; 53.2% female), with baseline self-reported sleep data, and positron emission tomography-determined brain Aβ measured over a minimum of three time points (range 33.3-72.7 months). Analyses included random slopes and intercepts, interaction for apolipoprotein E (APOE) ε4 allele status, and time, adjusting for sex and baseline age. Sleep duration<6hours, in APOE ε4 carriers, and sleep efficiency<65%, in the whole sample and APOE ε4 non-carriers, is associated with faster accumulation of brain Aβ. These findings suggest a role for self-reported suboptimal sleep efficiency and duration in the accumulation of Alzheimer's disease (AD) neuropathology in CU individuals. Additionally, poor sleep efficiency represents a potential route via which individuals at lower genetic risk may progress to preclinical AD. In cognitively unimpaired older adults self-report sleep is associated with brain amyloid beta (Aβ) accumulation.Across sleep characteristics, this relationship differs by apolipoprotein E (APOE) genotype.Sleep duration<6hours is associated with faster brain Aβ accumulation in APOE ε4 carriers.Sleep efficiency< 65% is associated with faster brain Aβ accumulation in APOE ε4 non-carriers.Personalized sleep interventions should be studied for potential to slow Aβ accumulation.

Relation between dietary inflammatory potential and sleep features: Systematic review of observational studies

BACKGROUND: Diet and sleep represent key behavioral risk factors for major non-communicable diseases. Dietary factors may modulate systemic inflammation and potentially affect the human brain functionality, finally affecting the sleep-wake cycle. In this context, the Dietary Inflammatory Index (DII) has been studied as a tool to investigate the dietary inflammatory potential and its relationship with a variety of health conditions. OBJECTIVE: The aim of this study was to perform a systematic revision of observational studies on the inflammatory potential of the diet assessed through the DII and sleep features. METHODS: A systematic search of observational studies on DII and sleep features was conducted on Pubmed and EMBASE electronic databases. The Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guidelines were used to plan the methodology. Studies identified through the search were selected according to inclusion/exclusion criteria. RESULTS: The systematic search and review led to the selection of 13 studies. Most studies including the general population reported an association between higher inflammatory potential of the diet and worse sleep quality and suboptimal sleep duration. Some studies also reported an association with daytime sleepiness and sleep apnea. However, some studies including younger individuals (i.e., college students or young employees) reported null findings. Four studies conducted in individuals with a variety of health conditions also showed some relation between DII and sleep features, although results were not fully consistent. CONCLUSIONS: Data published so far suggests an association between DII and sleep features. However, lack of randomized clinical trials and better designed observational studies, imply that further research on this matter is warranted to understand whether a causal relation could explain current findings.

Abstract 26: Types of Adverse Childhood Experiences and Association With Sleep Duration in Children: Analysis of 2020-2021 National Survey of Children’s Health

Background: The number of adverse childhood experiences (ACEs) is associated with suboptimal sleep duration in children; however, the differential association of types of ACEs with sleep duration in youth is unknown. Given the known associations of both ACEs and sleep duration with cardiovascular health, such an investigation will provide insights for targeted clinical intervention. Objective: We investigated the most frequently reported ACE types and the association between each type of ACE and sleep duration among U.S. children aged 6-17 years. Methods: We used data from the 2020-2021 National Survey of Children’s Health, the most recent publicly available dataset. Parents or guardians were asked whether their child had ever experienced ten different types of ACEs. Multinomial logistic regression was used to assess the association of sleep duration with each of ACEs. We used the American Heart Association (AHA) Life Essential 8 scoring algorithm to calculate scores for sleep duration (range 0 [lowest] to 100 [highest]). Participants were categorized into three subgroups: (1) meeting age-appropriate optimal sleep duration; (2) ≥1-&lt;2 hour below or ≥ 1 hour above optimal sleep duration; and (3) ≥ 2 hours below optimal sleep duration. Analyses controlled for child’s sex, age, race/ethnicity, household poverty level, regular bedtime, physical activity, and caregiver’s level of education. Results: Parental divorce was the most frequently reported ACE (28.1%) followed by financial hardship (12.9%) and drug abuse (10.1%) among U.S. children aged 6 to 17 years. Adjusting for covariates, 5 of 10 ACEs (parental divorce, parental imprisonment, domestic violence, living with someone who had a problem with alcohol or drugs, unfair treatment because of their sexual orientation or gender identity) were significantly associated with suboptimal sleep category 2. All 10 ACEs were significantly associated with suboptimal sleep category 3. Conclusions: These findings support that ACE type is differentially associated with suboptimal childhood sleep duration and suggests that certain traumatic events experienced during childhood could amplify the adverse effects of poor sleep on cardiovascular health. Healthcare providers should consider screening for ACE type concurrent with sleep duration to better understand aspects contributing to cardiovascular health in childhood.

Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle-Aged Individuals Without Stroke or Dementia.

The American Heart Association's Life's Simple 7, a public health construct capturing key determinants of cardiovascular health, became the Life's Essential 8 after the addition of sleep duration. The authors tested the hypothesis that suboptimal sleep duration is associated with poorer neuroimaging brain health profiles in asymptomatic middle-aged adults. The authors conducted a prospective magnetic resonance neuroimaging study in middle-aged individuals without stroke or dementia enrolled in the UK Biobank. Self-reported sleep duration was categorized as short (<7 hours), optimal (7-<9 hours), or long (≥9 hours). Evaluated neuroimaging markers included the presence of white matter hyperintensities (WMHs), volume of WMH, and fractional anisotropy, with the latter evaluated as the average of 48 white matter tracts. Multivariable logistic and linear regression models were used to test for an association between sleep duration and these neuroimaging markers. The authors evaluated 39 771 middle-aged individuals. Of these, 28 912 (72.7%) had optimal, 8468 (21.3%) had short, and 2391 (6%) had long sleep duration. Compared with optimal sleep, short sleep was associated with higher risk of WMH presence (odds ratio, 1.11 [95% CI, 1.05-1.18]; P<0.001), larger WMH volume (beta=0.06 [95% CI, 0.04-0.08]; P<0.001), and worse fractional anisotropy profiles (beta=-0.04 [95% CI, -0.06 to -0.02]; P=0.001). Compared with optimal sleep, long sleep duration was associated with larger WMH volume (beta=0.04 [95% CI, 0.01-0.08]; P=0.02) and worse fractional anisotropy profiles (beta=-0.06 [95% CI, -0.1 to -0.02]; P=0.002), but not with WMH presence (P=0.6). Among middle-aged adults without stroke or dementia, suboptimal sleep duration is associated with poorer neuroimaging brain health profiles. Because these neuroimaging markers precede stroke and dementia by several years, these findings are consistent with other findings evaluating early interventions to improve this modifiable risk factor.

Sleep disturbances and progression of mobility disability: Longitudinal findings from the Nurses’ Health Study

ObjectiveTo examine longitudinal associations between self-reported sleep disturbances and mobility disability progression among women, including subgroups with multiple sclerosis (MS), diabetes, and osteoarthritis (OA). MethodsProspective cohort study using data from Nurses’ Health Study long-form questionnaires (2008, 2012, 2014, 2016). Logistic regression was used to quantify associations between sleep-related variables at baseline and subsequent increase in mobility disability. ResultsOf 70,303 women (mean age 73), 392 had MS, 7,302 had diabetes, and 24,099 had OA. Between 2008–2016, mobility disability increased by 16.9 % overall, 27.8 % in the MS subgroup, 27.0 % in the diabetes subgroup, and 23.7 % in the OA subgroup. Known/suspected obstructive sleep apnea was significantly associated with an increase in mobility disability between 2008 and 2016, overall (OR:1.4, 95 %CI:1.2,1.5), and in the diabetes (OR:1.5, 95 %CI:1.2,1.9) and OA subgroups (OR:1.2, 95 %CI:1.0,1.4), but not in the MS subgroup (OR:2.3, 95 %CI:0.6,8.9); however, across 2012–2016, this association was significant for MS (OR:4.0, 95 %CI:1.0,16.1). Suboptimal sleep duration was significantly associated with increased odds of mobility disability progression overall, but not in disease subgroups. Perception of adequate sleep was associated with lower odds of mobility disability progression overall (OR:0.82, 95 %CI:0.78,0.87) and for the OA subgroup (OR:0.83, 95 %CI:0.76,0.91). Excessive daytime sleepiness was associated with mobility disability progression overall (OR:1.2, 95 %CI:1.1,1.4) and for the OA subgroup (OR:1.2, 95 %CI:1.0,1.4). ConclusionsPrevalent sleep disturbances could increase disability progression among women. Chronic disease populations may be uniquely vulnerable. Informed by these data, future research could offer new insight into sleep-based strategies to ameliorate mobility decline.

Suboptimal sleep efficiency and duration predict faster cognitive decline in cognitively unimpaired older adults

AbstractBackgroundResearch indicates a role for suboptimal sleep, in cognitive ageing. An increasing, though inconsistent body of evidence has associated aspects of suboptimal self‐reported sleep quality with poorer cognitive performance. The current study investigated whether self‐reported sleep quality parameters predict the slope of domain specific cognitive performance.MethodParticipants were drawn from the Australian Imaging, Biomarkers and Lifestyle study of ageing. Linear mixed effect model (LMM) analyses were conducted on 525 cognitively unimpaired, older adults (M = 74.1, SD = 5.5, 56.4% female), characterised by apolipoprotein E (APOE) ε4 status, with baseline self‐reported sleep characteristics. Comprehensive cognitive assessments were conducted over a minimum 3 timepoints (range 29.64 ‐ 98.16 months). All models included random slopes, random intercepts, interaction effects for time, and APOE ε4 carriage, with each model adjusted based on the model of best fit for each cognitive outcome variable of interest.ResultFollowing Bonferroni correction, sleep duration &lt;6 hours and sleep efficiency &lt;65% in the whole cohort, and in APOE ε4 non‐carriers, forecasted accelerated decline in attention and speed of processing. In the same groups, greater sleep efficiency (%) forecasted greater preservation within the attention and speed of processing domain. No associations were observed for other sleep variables or cognitive domains of interest.ConclusionThese findings suggest a role for self‐reported suboptimal sleep efficiency and duration in the early stages of cognitive decline, represented by declining attention and speed of processing performance, in cognitively unimpaired individuals. Additionally, short sleep duration and poor sleep efficiency may increase future risk of cognitive decline independent of APOE ε4 carriage. Our findings also suggest the potential utility of self‐report screening for sleep efficiency and duration as a marker for increased risk of declining attention and speed of processing performance. Individuals with suboptimal sleep may benefit from an intervention to improve sleep efficiency and duration to lessen future risk of cognitive decline.

0722 Sleep disturbances and subsequent mobility disability in chronic disease: Findings from the Nurses’ Health Study

Abstract Introduction Impaired mobility is the leading cause of disability in the U.S. Across chronic neurological, metabolic, and musculoskeletal conditions, mobility reductions are observed beyond expected effects of aging. Poor sleep health may be one common factor that drives accelerated reduction in mobility among people with chronic conditions. This study compared longitudinal associations between self-reported sleep disturbances and mobility disability progression among women with and without multiple sclerosis (MS), diabetes, and osteoarthritis (OA). Methods This prospective cohort study used data from four waves of the Nurses’ Health Study (2008, 2012, 2014, 2016). Logistic regression and the Kaplan-Meier method were used to quantify associations between baseline sleep-related variables and subsequent increase in mobility disability. Results Of 70,303 women (mean age 73), 392 had MS, 7,302 had diabetes, and 24,099 had OA. Between 2008-2016, mobility disability increased in 16.9% of the sample overall, 27.8% in the MS subgroup, 27.0% in the diabetes subgroup, and 23.7% in the OA subgroup. Between 2008-2016, known/suspected OSA was significantly associated with increased mobility disability in the overall sample (OR:1.4, 95%CI:1.2,1.5), and within the diabetes (OR:1.5, 95%CI:1.2,1.9) and OA subgroups (OR:1.2, 95%CI:1.0,1.4), but not the MS subgroup (OR:2.3, 95%CI:0.6,8.9); however, across 2012-2016, this association was significant for MS (OR:4.0, 95%CI:1.0,16.1). Suboptimal sleep duration was significantly associated with increased odds of mobility disability progression in the overall sample, but not within disease subgroups. Conversely, perception of adequate sleep was significantly associated with lower odds of mobility disability progression overall (OR:0.82, 95%CI:0.78,0.87) and for the OA subgroup (OR:0.83, 95%CI:0.76,0.91). Excessive daytime sleepiness was significantly associated with mobility disability progression overall (OR:1.2, 95%CI:1.1,1.4) and for the OA subgroup (OR:1.2, 95%CI:1.0,1.4). Conclusion Prevalent sleep disturbances could increase risk of disability progression among women, particularly in common chronic disease populations. Informed by these data, future research could offer new insight into sleep-based strategies to ameliorate mobility decline. Support (if any) This work was supported in part by a Michigan Institute for Clinical and Health Research Pilot Grant (UL1TR002240). Dr. Shieu was supported by a T32 grant from National Heart, Lung, and Blood Institute (T32HL110952).

0105 INSIGHT Study associations between sleep health and child behavior at age 6 years

Abstract Introduction Sub-optimal sleep duration, quality and timing are associated with the presence of disruptive behaviors in childhood. Previous studies have largely utilized parent-/teacher-report of children’s behaviors and focused on mean sleep duration and quality measures, ignoring sleep variability. This analysis uses actigraphy and standardized laboratory behavioral tasks to examine the associations of average levels and variability (SD) of sleep duration, timing, and quality with child behavior. Methods The Intervention Nurses Start Infants Growing on Healthy Trajectories (INSIGHT) Study randomized families with firstborn newborns to a responsive parenting intervention or a safety control shortly after delivery. At age 6 years, children wore a wrist actigraphy device (Spectrum Plus) for 7 days to measure sleep and completed frustration (Transparent Box) and parent-child interaction (Picture Frame) tasks. Tasks were recorded and coded using global behavioral coding schemes; inter-rater reliability was sufficient (Transparent Box ICCs=.83-.97; Picture Frame=.83-1). Children with data on sleep (≥3 valid days) and both behavioral tasks were included in this secondary data analysis (n=143). Separate linear regression models examined associations between 10 sleep variables (M/SD of onset, offset, and midpoint of sleep timing, sleep maintenance efficiency, and total sleep time) and 4 behavioral variables (Transparent Box: emotion regulation, impulsivity; Picture Frame: prosocial and antisocial behavior). Models controlled for child sex and age, household income, and study group. Results Children were aged 6.7 ± 0.3 years and predominantly White, non-Hispanic (95%). Sleep onset (timing) variability was positively associated with impulsivity (B=.85, p=.004) and negatively associated with emotion regulation (B=-.65, p=.01). Sleep midpoint (timing) variability was positively associated with impulsivity (B=.80, p=.03). Mean sleep timing, sleep duration, and sleep maintenance efficiency were not associated with any of the behavioral variables. Conclusion The regularity of sleep timing (onset and midpoint) at age 6 had a greater role in behavioral and emotional regulation than duration and quality of sleep. These findings support existing literature that highlight the importance of parents implementing consistent routines (e.g., consistent bedtime) and how such routines play a key role in socioemotional outcomes among children. Support (if any) R01DK088244

Long Sleep Duration and Dissatisfaction with Sleep Quality Are Associated with Ischemic Stroke in Young Patients

Introduction: Suboptimal sleep duration and poor sleep quality have been proposed to increase stroke risk. However, their significance in young ischemic stroke is unclear. We aimed to investigate the importance of sleep duration and quality on young ischemic stroke patients. Methods: A multicenter matched case-control study was performed to evaluate under-recognized risk factors in young (<45 years) ischemic stroke patients in 8 tertiary hospitals in Korea. A total of 225 patients and 225 age- and sex-matched controls were enrolled in the same period. Detailed information about patients’ demographics, socioeconomic state, and traditional and nontraditional risk factors including sleep-related factors were obtained using structured questionnaires. Risk of ischemic stroke was estimated using conditional logistic regression analysis. Results: Although average sleep duration was similar in patients and controls, patients were more likely to have long (≥9 h) or extremely short (<5 h) sleep durations. In addition, the proportion of subjects with dissatisfaction with sleep quality was higher in patients than controls (66.2 vs. 49.3%, p < 0.001). In multivariable conditional logistic regression analysis, long sleep duration (OR: 11.076, 95% CI: 1.819–67.446, p = 0.009) and dissatisfaction with sleep quality (OR: 2.116, 95% CI: 1.168–3.833, p = 0.013) were independently associated with risk of ischemic stroke. Conclusions: Long sleep duration and dissatisfaction with sleep quality may be associated with increased risk of ischemic stroke in young adults. Improving sleep habit or quality could be important for reducing the risk of ischemic stroke.

Outcomes of ST Segment Elevation Myocardial Infarction without Standard Modifiable Cardiovascular Risk Factors - Newer Insights from a Prospective Registry in India.

Patients with ST elevation myocardial infarction (STEMI) without standard modifiable cardiovascular risk factors (SMuRFs; dyslipidaemia, hypertension, diabetes mellitus and smoking) are reported to have a worse clinical outcome compared to those with SMuRFs. However, robust prospective data and low-and middle-income country perspective are lacking. We aimed to study the patients with first STEMI and assess the influence of SMuRFs on clinical outcomes by comparing the patients with and without SMuRFs. We included all consecutive STEMI patients without prior coronary artery disease enrolled in the Madras Medical College STEMI Registry from September 2018 to October 2019. We collected baseline clinical characteristics, revascularisation strategies and clinical outcome. We analysed suboptimal self-reported sleep duration as a 5th extended SMuRF (eSMuRF). Primary outcome was in-hospital mortality. Secondary outcomes included in-hospital complications and one-year all-cause mortality. Among 2,379 patients, 605 patients (25.4%) were SMuRF-less. More women were SMuRF-less than men (27.1% vs 22.1%; P = 0.012). SMuRF-less patients were older (57.44 ± 13.95 vs 55.68 ± 11.74; P < 0.001), more often former tobacco users (10.4% vs 5.0%; P < 0.001), with more anterior wall MI (62.6% vs 52.1%; P = 0.032). The primary outcome [in-hospital mortality (10.7% vs 11.3%; P = 0.72)] and secondary outcomes [in-hospital complications (29.1% vs 31.7%; P = 0.23) and one-year all-cause mortality (22.3% vs 22.7%; P = 0.85)] were similar in both groups. Addition of suboptimal self-reported sleep duration as a 5th eSMuRF yielded similar results. 25% of first STEMI patients were SMuRF-less. Clinical outcomes of patients without SMuRFs were similar to those with SMuRFs. Suboptimal sleep duration did not account for the risk associated with the SMuRF-less status.

Abstract 33: Using the AHA's Life Essential 8 Criteria to Assess Sleep Duration and Its Association With Social Determinants of Health in U.S. Children

Introduction: In 2010, the American Heart Association (AHA) began using 7 indicators to measure cardiovascular health, known collectively as Life’s Simple 7. In June 2022, the AHA added an 8 th indicator: sleep duration. Although earlier studies have examined whether/how the indicators in Life’s Simple 7 might be impacted by social determinants of health (SDoH), few epidemiological studies have examined how SDoH influence the 8 th indicator in U.S. children. Purpose: We used the AHA Life Essential 8 scoring criteria to assess sleep duration among U.S. children and whether certain SDoH were associated with sleep duration. Methods: We utilized data from the 2019-2020 National Survey of Children’s Health. For all children, we calculated the score for sleep duration (range 0 [lowest] to 100 [highest]). Based on the AHA scoring algorithm and the distribution of sleep duration, participants were divided into three mutually exclusive subgroups: (1) those who met age-appropriate optimal sleep duration; (2) those who had 1-&lt;2 hour below or ≥ 1 hour above optimal sleep duration; and (3) those who had ≥ 2 hours below optimal sleep duration. Multinomial logistic regressions were used to assess the association of sleep duration with 4 SDoH factors (adverse childhood experiences [ACEs], received preventive care during past 12 months, food insufficiency, and living in unsafe neighborhoods). We controlled for child’s sex, age, race/ethnicity, and household poverty level. Results: Among children aged 6 to 17 years (n=49,821), the mean sleep duration score was 77.1 (95% CI 76.4 to 77.7) and 65.5% of the children had age-appropriate optimal sleep scores. Three SDoH factors were associated with higher likelihood of suboptimal sleep duration. Adjusting for covariates, for each point increase in number of ACEs the likelihood of having suboptimal sleep duration was increased (relative risk ratios [RR]:1.05 [95% CI 1.02 to 1.09]; 1.21 [95% CI 1.15 to 1.27]). The likelihood of having suboptimal sleep duration was also increased for those who reported food insufficiency at home (RR:1.19 [95% CI 1.06 to 1.33]; 1.67 [95% CI 1.40 to 1.98]) as well as for those who reported living in an unsafe neighborhood (RR: 1.34 [95% CI 1.04 to 1.71]; 1.63 [95% CI 1.19 to 2.23]). Conclusions: Our findings show that using the AHA’s Life Essential 8 scoring criteria, one third of U.S. children do not meet optimal sleep duration standards. These findings highlight the need for greater attention to social and systemic influences on children's sleep health. It is critical for healthcare providers to recognize that suboptimal sleep duration is a risk factor for poor cardiovascular health, and that certain SDoH are associated with suboptimal sleep duration.

Abstract P631: Association Between Suboptimal Sleep Duration and Cardiovascular Disease Prevalence Among Asian Americans

Importance: Cardiovascular disease (CVD) risk and prevalence is widely varied among Asian Americans. The American Heart Association recently added healthy sleep to its metrics used to define ideal cardiovascular health. Little is known about the association between sleep and CVD prevalence among Asian subgroups. Hypothesis: The association between suboptimal sleep duration and CVD risk prevalence will differ by Asian American subgroup. Methods: We analyzed results from the National Health Interview Survey (2012-2018, N=234,126), a nationally representative sample. Participants (age&gt;40 years old) included 214,956 non-Hispanic Whites (NHWs), 3,043 Asian Indians, 3,993 Chinese, 4,719 Filipinos, and 7,603 other Asians. Suboptimal sleep was self-reported and defined as &lt;7 or &gt;9 hours. CVD was defined as self-reported stroke, heart attack, coronary artery disease, or angina. We used multivariable logistic regression models to ascertain the association. All analyses included complex survey design considerations. Results: Suboptimal sleep duration was associated with higher CVD prevalence for NHWs and all Asians, but in Asian subgroup stratified analyses, suboptimal sleep was only associated with higher CVD prevalence among Other Asians. Conclusions: Our results show heterogeneity in the association between sleep duration and CVD prevalence among Asian subgroups, however further research is needed to better understand these relationships.

Abstract 57: Sleep Duration Is Associated With Clinically Silent Brain Injury In Middle-aged Persons Without Stroke

Background: Evidence indicates that optimization of cardiovascular health during middle age leads to brain health benefits later in life. The AHA Life’s Simple 7, a research and public health construct capturing determinants of cardiovascular health, recently added sleep as a risk factor, becoming the Life’s Essential 8 (LE8). We hypothesize that suboptimal sleep duration worsens neuroimaging brain health profiles in middle-aged persons without stroke. Methods: We conducted a nested, cross-sectional neuroimaging analysis within the UK Biobank, a large population study conducted in the United Kingdom. We included participants without stroke/dementia who underwent a research brain MRI. We created a 6-category sleep score according to hours of sleep (best to worse): 7 to &lt;9h; 9 to &lt;10h; 6 to &lt;7h; 5 to &lt;6 or &gt;=10h; 4 to &lt;5h; and &lt;4h. We evaluated 3 neuroimaging traits: white matter hyperintensity volume (natural log-transformed), fractional anisotropy (FA) and mean diffusivity (MD). For the last two traits, we evaluated the first principal component of measurements obtained across 48 neuroanatomical regions. Results: Of 502,408 participants enrolled in the UKB, 39,937 (7.9%) stroke/dementia-free enrollees participated in the brain MRI study (mean age 55, 53% female). The distribution of sleep categories was: 1 (n=28,958, 72.51%), 2 (n=2060, 5.16%), 3 (n=7165, 17.94%), 4 (n=1,562, 3.91%), 5 (n=163, 0.41%) and 6 (n=29, 0.07%). In multivariable linear regression analyses, a higher (worse) sleep score was associated with larger WMH volume (beta 0.026, SE=0.0046; p&lt;0.001) and worse FA profile (beta 0.003, SE=0.0008; p&lt;0.001), with no association observed for MD (p=0.77). For FA, when evaluating the 48 neuroanatomical regions separately, the most compromised areas were the right cerebral peduncle (p&lt;0.001) and left and right cerebellar peduncles (p&lt;0.001). Conclusion: Among middle-aged participants enrolled in the UKB, suboptimal sleep duration was significantly associated with adverse neuroimaging brain health profiles. These results emphasize the importance of sleep duration, the new component of the LE8, in determining brain health in middle-aged persons who have not developed clinically evident manifestations of poor brain health (stroke).

Metabolic health disparities driven by financial stress: Behavioural adaptation or modification?

Financial stress has been linked to an increased risk of metabolic syndrome, yet, it remains unclear whether suboptimal sleep duration and physical inactivity are the adaptive responses to financial stress or effect modifiers in the association between financial stress and metabolic syndrome. Hence, this study aims to examine whether physical activity and sleep duration mediate or moderate the bivariate association between financial stress and metabolic syndrome. A prospective secondary analysis was conducted using data from the Wisconsin Sleep Cohort Study (N=445, mean [SD] age=64 [7] years). Baseline moderation effect was examined using subgroup analysis with model constraints; prospective mediation model was examined using bias-corrected bootstrap confidence intervals. Results indicate that participants with higher financial stress were less likely to meet physical activity and sleep recommendations. Baseline moderation analysis indicates that meeting current recommendations of sleep duration and physical activity attenuated the association between financial stress and metabolic syndrome. In the prospective mediation analysis, weekly physical activity levels partially mediated the relationship between financial stress and metabolic syndrome, but sleep duration did not mediate this relationship. In conclusion, the joint effect of optimal sleep duration and physical activity disassociates financial stress from the risk of metabolic syndrome. Future interventions addressing metabolic risk might achieve better outcomes if clinicians and researchers factor in the behavioral adaptation of physical inactivity in financially stressed adults (Clinical Trial Registration: NCT00005557).

Suboptimal sleep efficiency and duration predicts rate of accumulation of Aβ‐ Amyloid in cognitively normal older adults

AbstractBackgroundThere is increasing evidence of a bidirectional relationship between suboptimal sleep and brain Aβ‐amyloid (Aβ) accumulation. Suboptimal sleep is suggested to both result from and contribute to the accumulation of brain Aβ. This study tested whether aspects of self‐reported sleep quality predict the longitudinal accumulation of brain Aβ.MethodLinear mixed effect model analyses were conducted on 192 cognitively normal older adults (M = 73.8 years, SD = 5.8, 51.6% female). These individuals, drawn from the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Ageing, had self‐reported sleep characteristics assessed at baseline and positron emission tomography‐determined brain Aβ burden measured over a minimum of three AIBL timepoints (range 33.3‐73.9 months). Analyses included random slopes and intercepts, interaction for apolipoprotein E (APOE) ε4 allele status and time, adjusting for sex and baseline age.ResultSleep duration of &lt;5 hours and sleep efficiency of &lt;65% both significantly forecast the longitudinal trajectory of Aβ accumulation in the whole cohort (sleep duration &lt;5 hrs β = 4.70 ± 1.58, p = 0.003; sleep efficiency &lt;65% β = 2.94 ± 0.91, p = 0.001) and in APOE ε4 non‐carriers (sleep duration &lt;5 hrs β = 4.70 ± 1.53, p = 0.003; sleep efficiency &lt;65% β = 2.90 ± 0.87, p = 0.001) but not in APOE ε4 carriers.ConclusionThese findings indicate a role for self‐reported suboptimal sleep efficiency and duration in the accumulation of Alzheimer's disease neuropathology in cognitively normal individuals. Individuals with suboptimal sleep may benefit from an intervention to improve these sleep parameters to lessen future Alzheimer's risk. Our findings also suggest the potential utility of self‐report screening for sleep efficiency and duration as a predictor of risk of Aβ accumulation.

The interaction between physical activity and sleep on cognitive function and brain beta-amyloid in older adults

BackgroundLifestyle factors such as physical activity and optimal sleep are associated with better cognition and lower levels of Alzheimer’s disease (AD) biomarkers, including brain beta-amyloid (Aβ) burden. ObjectiveWe utilised cross-sectional data from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study to determine whether self-reported physical activity (measured via the International Physical Activity Questionnaire) moderates the relationship between self-reported sleep (measured via the Pittsburgh Sleep Quality Index), cognition, and brain Aβ. MethodsParticipants were 349 community-dwelling cognitively normal older adults (75.3 ± 5.7 years), all of whom underwent comprehensive cognitive assessment. Data from a subset of participants (n = 201) were used for analyses with brain Aβ burden (measured by positron emission tomography) as the outcome. ResultPhysical activity moderated the relationship between sleep duration and episodic memory (β = −0.10, SE =0.03, p = .005), and sleep efficiency and episodic memory (β = −0.09, SE =0.04, p = .011), such that greater amounts of physical activity mitigated the impact of suboptimal sleep duration and efficiency on episodic memory. Physical activity also moderated the relationship between sleep duration and brain Aβ (β = −0.13, SE =0.06, p = .031), and overall sleep quality and brain Aβ (β = 0.13, SE =0.06, p = .027). ConclusionOur findings suggest that physical activity may play an important role in the relationship between sleep and cognitive function, and brain Aβ.

Sleep Regularity and Predictors of Sleep Efficiency and Sleep Duration in Elite Team Sport Athletes

BackgroundMany elite athletes have suboptimal sleep duration and efficiency, potentially due to factors that may impact sleep onset and offset times. Variability in sleep onset and offset may negatively influence sleep. The sleep regularity index (SRI) is a novel metric for sleep regularity, however there are no published descriptions of SRI in elite athletes. Further, contributors to sleep efficiency and duration in elite athletes using objective measures have not been explored.MethodsSleep was monitored over a minimum of seven consecutive days (7 to 43)—in 203 elite team sport athletes (age range = 19–36 years; female, n = 79; male, n = 124, total sleep nights = 1975) using activity monitoring and sleep diaries. The sleep regularity index (SRI) was calculated to reflect the night-to-night shifts in sleep by accounting for changes in sleep onset and sleep offset. Sleep characteristics were compared between regular and irregular sleepers and important contributors to sleep efficiency and total sleep time were assessed using multiple linear regression models.ResultsThe median sleep regularity index and interquartile range were 85.1 (81.4 to 88.8). When compared to irregular sleepers, regular sleepers demonstrated (1) significantly greater sleep efficiency (p = 0.006; 0.31 medium effect size [ES]), (2) significantly less variability in total sleep time (− p ≤ 0.001; − 0.69, large ES) and sleep efficiency (− 0.34, small ES), (3) similar total sleep time and (4) significantly less variation in sleep onset (p ≤ 0.001; − 0.73, large ES) and offset (p ≤ 0.001; − 0.74, large ES) times. Sleep characteristics explained 73% and 22% of the variance in total sleep time and sleep efficiency, respectively. The most important contributor to total sleep time was a later sleep offset time, while the most important contributors to sleep efficiency were an earlier bedtime and less variable sleep onset times.ConclusionsBedtime and a consistent sleep onset time are important factors associated with sleep efficiency in athletes, while sleep offset is an important factor for total sleep time. Coaches and staff can assist their athletes by providing training schedules that allow for both regularity and sufficiency of time in bed where possible.