Higher energy intake at dinner decreases parasympathetic activity during nighttime sleep in menstruating women: A randomized controlled trial

Tada, Yuki; Yoshizaki, Takahiro; Tanaka, Izumi; Kanehara, Rieko; Kato, Misao; Hatta, Naoko; Hida, Azumi; Kawano, Yukari

doi:10.1016/j.physbeh.2018.06.010

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Sleep is affected by age [16,17], gender [18], marriage [19], and working stress [20]. Therefore, we recruited unmarried experimental subjects, who live a regular life and are physically and mentally healthy, with posters at Ritsumeikan University.…”

Section: Subjectsmentioning

confidence: 99%

Estimating Sleep Stages Using a Head Acceleration Sensor

Yoshihi

Okada

Wang

et al. 2021

Sensors

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Sleep disruption from causes, such as changes in lifestyle, stress from aging, family issues, or life pressures are a growing phenomenon that can lead to serious health problems. As such, sleep disorders need to be identified and addressed early on. In recent years, studies have investigated sleep patterns through body movement information collected by wristwatch-type devices or cameras. However, these methods capture only the individual’s awake and sleep states and lack sufficient information to identify specific sleep stages. The aim of this study was to use a 3-axis accelerometer attached to an individual’s head to capture information that can identify three specific sleep stages: rapid eye movement (REM) sleep, light sleep, and deep sleep. These stages are measured by heart rate features captured by a ballistocardiogram and body movement. The sleep experiment was conducted for two nights among eight healthy adult men. According to the leave-one-out cross-validation results, the F-scores were: awake 76.6%, REM sleep 52.7%, light sleep 78.2%, and deep sleep 67.8%. The accuracy was 74.6% for the four estimates. This proposed measurement system was able to estimate the sleep stages with high accuracy simply by using the acceleration in the individual’s head.

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Section: Subjectsmentioning

confidence: 99%

Estimating Sleep Stages Using a Head Acceleration Sensor

Yoshihi

Okada

Wang

et al. 2021

Sensors

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The effect of nocturnal “meat” versus “vegetarian” dinners on sleep quality and daily functioning

et al. 2020

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Association between Micronutrients and Heart Rate Variability: A Review of Human Studies

Lopresti

2020

Advances in Nutrition

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Heart rate variability (HRV) is a measure of the variation between consecutive heartbeats. It provides a marker of the interplay between the parasympathetic and sympathetic nervous systems, and there is an increasing body of evidence confirming an increased HRV is associated with better mental and physical health. HRV may be a useful marker of stress as it represents the ability of the heart to respond to a variety of physiological and environmental stimuli. HRV tends to decrease as we age and is positively associated with physical activity, fitness, and healthier lifestyles. The relation between HRV and micronutrients (vitamins and minerals) has also received some attention in the research literature. In this review, cross-sectional and interventional studies on human populations examining the relation between HRV and micronutrients are appraised. Micronutrients identified and examined in this review include vitamins D, B-12, C, and E; the minerals magnesium, iron, zinc, and coenzyme Q10; and a multivitamin-mineral formula. Due to the paucity of research and significant heterogeneity in studies, definitive conclusions about the effects of these micronutrients on HRV cannot be made at this time. However, there is accumulating evidence suggesting deficiencies in vitamins D and B-12 are associated with reduced HRV, and zinc supplementation during pregnancy can have positive effects on HRV in offspring up until the age of 5 y. To further elucidate the relation between micronutrients and HRV, additional robustly designed and adequately powered studies are required.

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Higher energy intake at dinner decreases parasympathetic activity during nighttime sleep in menstruating women: A randomized controlled trial

Cited by 3 publications

References 35 publications

Estimating Sleep Stages Using a Head Acceleration Sensor

Estimating Sleep Stages Using a Head Acceleration Sensor

The effect of nocturnal “meat” versus “vegetarian” dinners on sleep quality and daily functioning

Association between Micronutrients and Heart Rate Variability: A Review of Human Studies

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