The relationship between sleep and physical activity: the moderating role of daily alcohol consumption

Magnesium-L-threonate improves sleep quality and daytime functioning in adults with self-reported sleep problems: A randomized controlled trial

Objective/Background

Sleep problems challenge overall wellbeing. Magnesium has been implicated to benefit sleep, although the clinical evidences varied based on the magnesium source used. Magnesium L-threonate (MgT) is a promising intervention due to its brain bioavailability and effects on cognition, memory and mood. We investigated MgT supplementation on sleep quality and daily function.

Patients/methods

Eighty 35-55-year-olds with self-assessed sleep problems participated in a randomized, double-blind, placebo-controlled, parallel-arm study, taking 1 g/day of MgT or placebo for 21 days. Sleep and daily behaviors were measured subjectively using standardized questionnaires including the Insomnia Severity Index, Leeds Sleep Evaluation Questionnaire, and Restorative Sleep Questionnaire, and objectively using an Oura ring. The Profile of Mood States questionnaire and a daily diary were used to evaluate mood, energy and productivity, and record any safety concerns.

Results

The MgT group maintained good sleep quality and daytime functioning, while placebo declined. From objective Oura ring measurements, MgT significantly (p < 0.05) improved vs placebo deep sleep score, REM sleep score, light sleep time, and activity and readiness parameters activity score, activity daily movement score, readiness score, readiness activity balance, and readiness sleep balance. From subjective questionnaires, MgT significantly (p < 0.05) improved vs placebo behavior upon awakening, energy and daytime productivity, grouchiness, mood and mental alertness. MgT was safe and well tolerated.

Conclusions

This showed MgT improved sleep quality, especially deep/REM sleep stages, improved mood, energy, alertness, and daily activity and productivity. These are consistent with how MgT works in neuron cells and animal models, suggesting broader positive impacts on overall brain health.

Independent and joint association of physical activity and adequate weekday sleep duration with metabolic dysfunction-associated steatotic liver disease

BACKGROUND

The independent and joint association of physical activity (PA) and weekday sleep duration with metabolic dysfunction-associated steatotic liver disease (MASLD) remain unclear.

AIMS

We intended to explore this association in the United States.

METHODS

This cross-sectional study recruited 4974 individuals from the National Health and Nutrition Examination Survey between 2017 and 2018. Information regarding PA and weekday sleep duration was obtained through questionnaires. Metabolic associated fatty liver disease (MAFLD) was diagnosed by transient elastography based on the consensus definitions. Multivariable logistic regression models were employed to investigate the independent and joint association of PA and weekday sleep duration with MAFLD.

RESULTS

Of the 4974 subjects, engaging in active PA or sustaining adequate sleep duration was associated with decreased the odds of MAFLD (p < 0.05). Specifically, active leisure-time PA was linked to lower 37 % odds of MAFLD (OR, 0.63; 95 % CI, 0.55-0.73). Individuals who had one to twice times (150-299 min/week) or more than twice (≥300 min/week) the recommended amount of leisure-time PA by PA Guidelines had 19 % (OR, 0.81; 95 % CI, 0.67-0.99) and 45 % (OR, 0.55; 95 % CI, 0.47-0.65) lower odds of MAFLD, respectively (P for trend <0.001). Individuals with adequate weekday sleep duration was associated with 24 % lower odds of MAFLD (OR, 0.76;95 % CI,0.67-0.88). Notably, active PA combined with adequate weekday sleep duration significantly decreased the odds ratios for MAFLD by 35 % (OR: 0.65, 95 % CI, 0.52-0.80). However, in individuals with significant alcohol use, the joint effect of total PA and weekday sleep duration on MAFLD was not statistically significant.

CONCLUSIONS

Both active PA and adequate weekday sleep duration were inversely associated with the risk of MASLD independently, while combining them could further lower the risk of MASLD.

Association of Abnormal Sleep Duration and Sleep Disturbance with Physical Activity in Older Adults: Between- and within-Person Effects

OBJECTIVES

Sleep is associated with physical activity (PA), yet the nature and directions of this association are less understood. This study aimed to disentangle the long-term temporal sequences between sleep duration/disturbance and PA in older adults, distinguishing between- and within-person effects.

DESIGN

Longitudinal panel study.

SETTING AND PARTICIPANTS

We conducted a longitudinal study using 3 waves of data collected in 2008/09 (T1), 2012/13 (T2), and 2016/17(T3) from adults aged ≥50 years in the English Longitudinal Study of Ageing (N = 10,749 individuals).

MEASURES

Sleep duration, sleep disturbance, and PA were assessed by self-reported questionnaires. We used cross-lagged panel models (CLPMs) to examine between-person effects and random intercept cross-lagged panel models (RI-CLPMs) to examine within-person effects.

RESULTS

Our analyses revealed a reciprocal relationship between abnormal sleep duration and low PA levels at between-person level (abnormal sleep duration to PA: βT1-T2 = -0.053, βT2-T3 = -0.058, all P < .001; PA to abnormal sleep duration: βT1-T2 = -0.040, βT2-T3 = -0.045, all P < .05), with abnormal sleep duration being the driving force in the dynamic association. In addition, there was a unidirectional effect of more severe sleep disturbance on lower levels of PA at both between- and within-person levels (between-person level: βT1-T2 = -0.032, βT2-T3 = -0.028, all P < .001; within-person level: βT1-T2 and T2-T3 = -0.031, all P = .011).

CONCLUSIONS AND IMPLICATIONS

This study adds novel insights into the temporal directionality of sleep and PA among community-dwelling older adults and highlights poor sleep as a potential risk factor for PA. Intervention strategies should aim to improve sleep to promote PA levels and successful aging.

Recent Progress in Long-Term Sleep Monitoring Technology

Sleep is an essential physiological activity, accounting for about one-third of our lives, which significantly impacts our memory, mood, health, and children's growth. Especially after the COVID-19 epidemic, sleep health issues have attracted more attention. In recent years, with the development of wearable electronic devices, there have been more and more studies, products, or solutions related to sleep monitoring. Many mature technologies, such as polysomnography, have been applied to clinical practice. However, it is urgent to develop wearable or non-contacting electronic devices suitable for household continuous sleep monitoring. This paper first introduces the basic knowledge of sleep and the significance of sleep monitoring. Then, according to the types of physiological signals monitored, this paper describes the research progress of bioelectrical signals, biomechanical signals, and biochemical signals used for sleep monitoring. However, it is not ideal to monitor the sleep quality for the whole night based on only one signal. Therefore, this paper reviews the research on multi-signal monitoring and introduces systematic sleep monitoring schemes. Finally, a conclusion and discussion of sleep monitoring are presented to propose potential future directions and prospects for sleep monitoring.

Association of Cardiovascular Risk Factors between Adolescents and Their Parents Is Mitigated by Parental Physical Activity-A Cross-Sectional Study

INTRODUCTION

It is hypothesized that children's habits can be modulated by their parent's lifestyle. However, it is still not established whether the relationship between cardiovascular risk factors (CVRF) in adolescents and their parents could be attenuated by parental physical activity levels.

OBJECTIVE

This study aimed to analyze the relationship of CVRF between adolescents and their parents according to parental physical activity level.

METHODS

A school-based sample of 1231 adolescents, 1202 mothers and 871 fathers were included (n = 3304). The CVRF assessed were overweight, hypertension, smoking and alcohol consumption. The parental physical activity level was assessed using a validated questionnaire, being classified into physically active and inactive parents. The statistical analysis considered all parents and stratification by physical activity level.

RESULTS

The prevalence of CVRF was higher in fathers than in mothers (70.6% vs. 54.9% for overweight, 23.3% vs. 19.7% for hypertension, 17.9% vs. 12.4% for smoking and 60.4% vs. 28.5% for alcohol consumption). Adolescents with active mothers showed lower prevalence of overweight (13.9% vs. 19.6%), while adolescents with active fathers showed higher prevalence of alcohol consumption (23.5% vs. 16.9%). The CVRF of both fathers and mothers were positively associated with CVRF of adolescents. However, the association of CVRF between adolescents and their parents was mitigated among active parents, while all the CVRF remained associated in physically inactive parents.

CONCLUSION

The parental physical activity level seems to mitigate the association of CVRF between adolescents and their parents. The promotion of an active lifestyle at the family level can contribute to reduce CVRF among adolescents.

Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association

In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.

Poor subjective sleep predicts compromised quality of life but not cognitive impairment in abstinent individuals with Alcohol Use Disorder

How disrupted sleep contributes to cognitive dysfunction over the dynamic course of Alcohol Use Disorder (AUD) is an emerging topic of investigation. Here, the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate subjective sleep in 90 individuals with AUD sober for an average of 3 months and in 50 healthy controls. Relative to controls, AUD individuals had higher global PSQI scores (worse sleep), higher scores on the Beck Depression Inventory (BDI), worse Quality of Life (QoL) indicators, and poorer performance on cognitive composite tests (executive functioning, attention and working memory, visual and verbal learning or memory). Among AUD individuals, a higher PSQI score correlated with a higher BDI scores and worse QoL, but not with cognitive scales. Also noted in the AUD group were higher global PSQI scores in individuals also diagnosed with major depressive (MDD) or generalized anxiety (GAD) disorders. Together, the 4 variables explained 29.8% of the variance in AUD PSQI scores. In women with AUD, the 4 factors explained 39.3% of the variance in PSQI scores; in AUD men, the 4 measures explained 19.9% of the variance: MDD was salient in women, QoL in men with AUD suggesting differential factors associate with poor sleep in men and women with AUD even with sustained alcohol abstinence. Here, global PSQI scores were related to clinical diagnoses and life functioning but failed to predict cognitive performance in abstinent AUD individuals.