The Relationship between Sleep Duration, Dietary Patterns and Obesity in Korean Adult Women

Background: Cross-sectional and prospective studies have demonstrated that self-reported short sleep is a predictor of cardiometabolic conditions including obesity, Type 2 Diabetes, and cardiovascular events. The relationship may be non-linear, with short and long sleep related to markers of cardiometabolic risk. Research on sleep duration and cardiometabolic health is limited by use of single item self-report sleep measures and homogeneous populations. The current study tested the hypothesis that accelerometer-measured sleep duration would be significantly associated with objective markers of cardiometabolic risk in older adult women. Methods: Cross-sectional data were analyzed in 2662 women (mean age: 79.05, 52.8% white, 29.8% black, 17.4% Hispanic), from the Objective Physical Activity and Cardiovascular Health Study, ancillary study to the Women’s Health Initiative. Women wore accelerometers on the hip for 24 hours over 7 days and completed a daily sleep log. To be included in the present analysis women must have validated night wear for at least 3 nights. Sleep data were scored according to a standard protocol using sleep logs and visual inspection of the accelerometer data. Body mass index (BMI) and fasting blood samples were obtained at home visits prior to accelerometer monitoring. Adjusting for age and race/ethnicity, linear regression models estimated the relationship between sleep duration and BMI (kg/m 2 ), HDL cholesterol, triglycerides, and glucose (mg/dL each), and C-reactive protein (CRP; mg/L). A quadratic term for sleep was included in the models to evaluate nonlinearity. Results: The mean nightly sleep duration in the sample was 489.6 mins per night (8.16 hours) with 14.8% of the sample sleeping less than 7 hours per night and 21% sleeping more than 9 hours per night. After adjusting for age and race/ethnicity, sleep duration was significantly related to BMI (regression coefficient [ B ] :- 0.034, p<.01), and the relationship appeared to be non-linear (quadratic, p=.02). The estimated quadratic function indicated a decreasing BMI as sleep duration increased up to 500 minutes/night, and then an increasing BMI as sleep duration continued to increase beyond 500 minutes/night. Additionally, sleep duration was significantly related to CRP ( B: - 0.005, p=.03), triglycerides ( B: 0.002, p=.03) and glucose ( B: - 0.125, p=.05), with both the CRP (quadratic, p =.02) and glucose (quadratic, p =.03) relationships appearing to be u-shaped and the triglyceride relationship linear. Sleep duration was not significantly related to HDL cholesterol. Conclusions: In older women, there is a significant relationship between sleep duration and cardiometabolic risk factors, independent of age and race/ethnicity. These cross-sectional relationships should be further explored in prospective studies to inform sleep guidelines for better cardiovascular health in older adult women.

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Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

Journal of Pediatric Endocrinology and Metabolism ◽

10.1515/jpem-2020-0399 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Ana P. Sehn ◽

Anelise R. Gaya ◽

Caroline Brand ◽

Arieli F. Dias ◽

Roya Kelishadi ◽

...

Keyword(s):

Body Mass Index ◽

Risk Factor ◽

Sleep Duration ◽

Body Mass ◽

Cardiometabolic Risk ◽

High Systolic Blood Pressure ◽

Television Time ◽

The Relationship ◽

Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

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Sleep maturation influences cognitive development of preterm toddlers

Scientific Reports ◽

10.1038/s41598-021-95495-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Akiko Ando ◽

Hidenobu Ohta ◽

Yuko Yoshimura ◽

Machiko Nakagawa ◽

Yoko Asaka ◽

...

Keyword(s):

Cognitive Development ◽

Sleep Duration ◽

Sleep Time ◽

Brain Maturation ◽

Sleep Diary ◽

Sleep Regulation ◽

Wake Time ◽

Daytime Nap ◽

Nighttime Sleep ◽

The Relationship

AbstractOur recent study on full-term toddlers demonstrated that daytime nap properties affect the distribution ratio between nap and nighttime sleep duration in total sleep time but does not affect the overall total amount of daily sleep time. However, there is still no clear scientific consensus as to whether the ratio between naps and nighttime sleep or just daily total sleep duration itself is more important for healthy child development. In the current study, to gain an answer to this question, we examined the relationship between the sleep properties and the cognitive development of toddlers born prematurely using actigraphy and the Kyoto scale of psychological development (KSPD) test. 101 premature toddlers of approximately 1.5 years of age were recruited for the study. Actigraphy units were attached to their waist with an adjustable elastic belt for 7 consecutive days and a child sleep diary was completed by their parents. In the study, we found no significant correlation between either nap or nighttime sleep duration and cognitive development of the preterm toddlers. In contrast, we found that stable daily wake time was significantly associated with better cognitive development, suggesting that sleep regulation may contribute to the brain maturation of preterm toddlers.

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Mediating effects of lower extremity function on the relationship between night sleep duration and cardiovascular disease risk: a cross-sectional study in elderly Chinese without cardiovascular diseases

BMJ Open ◽

10.1136/bmjopen-2020-046015 ◽

2021 ◽

Vol 11 (7) ◽

pp. e046015

Author(s):

Hui Zhang ◽

Xiaoyu Chen ◽

Peipei Han ◽

Weibo Ma ◽

Yuanyuan Zhang ◽

...

Keyword(s):

Lower Extremity ◽

Sleep Duration ◽

Physical Performance ◽

Indirect Effect ◽

Night Sleep ◽

Lower Extremity Function ◽

Cvd Risk ◽

Extremity Function ◽

Elderly Chinese ◽

The Relationship

ObjectiveThe purpose of this study is to investigate the mediating effect of physical performance on the relationship between night sleep duration and risk of cardiovascular disease (CVD) in elderly Chinese without CVD.Methods782 participants without CVD over 65 years (average: 70.82±3.86 years, 448 women) were included in this study. CVD risk was calculated by the Framingham Risk Score and participants were divided into four groups of night sleep duration (in hours): <7 hours, ≥7–8 hours, >8–9 hours and >9 hours. Upper extremity function was measured by grip strength and lower extremity function was measured by the Short Physical Performance Battery (SPPB), consisting of balance, 4 m walk and chair stands tests.ResultsAfter adjusting for covariates, long night sleep duration (>9 hours) and CVD risk were significantly positively associated compared with moderate night sleep duration (≥7–8 hours) (β=1.152; 95% CI 0.05 to 2.25). SPPB total score (indirect effect ab=−0.122; 95% CI −0.291 to –0.0008) rather than grip strength partially mediated the relationship between long night sleep duration and CVD risk, in which chair stands played a major mediating role (indirect effect ab=−0.171; 95% CI −0.040 to –0.0006), while balance (indirect effect ab=−0.016; 95% CI −0.100 to 0.063) and 4 m walk (indirect effect ab=0.048; 95% CI −0.066 to 0.201) did not.ConclusionsLower extremity function, especially lower limb muscle strength, partially mediates a positive association between long night sleep duration and CVD risk in the elderly without CVD. Suitable interventions for physical performance and sleep may minimise the risk of subsequent CVD.

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Relationship between Sleep Duration Trajectories and Self-Rated Depressive Symptoms in South Koreans with Physical Disabilities

Healthcare ◽

10.3390/healthcare9030361 ◽

2021 ◽

Vol 9 (3) ◽

pp. 361

Author(s):

Su Jeong Yi ◽

Yoo Mi Jeong ◽

Jae-Hyun Kim

Keyword(s):

Mental Health ◽

Depressive Symptoms ◽

Sleep Duration ◽

Bayes Factor ◽

Physical Disabilities ◽

Disabled People ◽

Physically Disabled ◽

The Disabled ◽

Physically Disabled People ◽

The Relationship

Physically disabled persons can have sleep problems, which affects their mental health more than those in non-disabled people. However, there are few studies on the relationship between sleep duration and mental health targeting physically disabled people in South Korea, and existing studies on the disabled have mostly used data collected from convenience rather than nationally representative samples, limiting the generalization of the results. This study used data from the second wave of the Panel Survey of Employment for the Disabled (PSED, 2016–2018, 1st–3rd year). Participants included 1851 physically disabled individuals. The Chi-square test and generalized estimating equation (GEE) were used and the Akaike information criterion (AIC) value and the AIC log Bayes factor approximation were used to select sleep trajectories. This is the first study to elucidate multiple sleep trajectories in physically disabled people in Korea, and the relationship between sleep duration trajectories and self-rated depressive symptoms. People with physical disabilities who sleep more than 9 h have the highest risk of depression and need more intensive management as a priority intervention.

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304 The relationship between basic personality, subjective sleep duration, and psychological distress during a military deployment

SLEEP ◽

10.1093/sleep/zsab072.303 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A121-A121

Author(s):

Walter Sowden ◽

Alexxa Bessey ◽

Julie Merrill ◽

Ashlee Mckeon ◽

Jake Choynowski ◽

...

Keyword(s):

Psychological Distress ◽

Personality Traits ◽

Sleep Duration ◽

Big Five ◽

Military Personnel ◽

The United States ◽

Post Traumatic Stress ◽

Medicine Research ◽

Subjective Sleep ◽

The Relationship

Abstract Introduction Extended, overseas operations (deployments) increase the likelihood that military personnel will experience psychological distress. Reduced sleep during deployments is a key correlate of psychological distress. Thus, it is imperative to identify mechanisms that adaptively modulate the relationship between insufficient sleep and psychological distress. Research has recently connected basic personality traits (i.e., the Big Five: extraversion, agreeableness, conscientiousness, neuroticism, and openness) to more sleep. The current project aimed to examine the relationship between basic personality traits, subjective sleep duration (SSD), and psychological distress during an operational deployment. Methods 488 soldiers took surveys both prior to and half-way through a nine-month deployment. The pre-deployment survey included the Big Five Index, and three standardized measures of psychological distress commonly used to screen military personnel for anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-8), and post-traumatic stress (Posttraumatic Symptom Disorder Checklist; PCL-4). The mid-deployment survey included an item from the Pittsburgh Sleep Quality Index measuring SSD and the same psychological distress measures from the pre-deployment survey. General linear models were used to test the interaction between SSD and each basic personality trait on each measure of psychological distress at mid-deployment while accounting for psychological distress at pre-deployment. Results Of the Big Five, conscientiousness was the only trait to significantly moderate the relationship between SSD and anxiety, t = 2.11, p = .035, where higher conscientiousness weakened the relationship. Further only agreeableness attenuated the relationship between depression and SSD, t = 2.10, p = .036. Interestingly, the only Big Five trait that moderated the relationship between SSD and PTS was openness, insomuch that openness strengthened the relationship, t = -1.92, p = .055. Conclusion The relationship between SSD and psychological distress was uniquely impacted by different personality traits. These results reinforce the age-old concept that behavior is the product of a complex, nuanced, and puzzling interaction between the individual and the environment. The current research motivates further research into personality as an adaptive mechanism for optimizing military wellbeing. Support (if any) Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC).

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