Human daily rhythms measured for one year

Binkley, Sue; Tome, Maria; Crawford, Dwight N.; Mosher, Karen

doi:10.1016/0031-9384(90)90316-v

Cited by 29 publications

(15 citation statements)

References 4 publications

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“…The mean bedtime of 00:00 and mean waketime of 06:00 are within the range of bedtimes and waketimes observed in various societies around the world [17-23]. The observed bedtime peak of sexual encounters is in agreement with a previous study of young married couples [12].…”

Section: Resultssupporting

confidence: 88%

Time for sex: nycthemeral distribution of human sexual behavior

Refinetti

2005

J Circadian Rhythms

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BackgroundNycthemeral (daily) oscillation has been documented in a variety of physiological and behavioral processes. The present study was carried out to evaluate the existence of a nycthemeral rhythm of human sexual behavior and to identify environmental factors responsible for the rhythmic pattern.MethodsNon-traditional university students (ages 18 to 51 years) recorded the times of day when they went to sleep, when they woke up, and when they had sex for 3 consecutive weeks. They also answered a questionnaire designed to identify the causes of their selection of time for sex.ResultsThe majority of sexual encounters took place at bedtime (11 pm to 1 am). The most common explanations for this temporal pattern were the rigidity of the professional work schedule and family obligations and the availability of the partner, which reduced the opportunity for sexual encounters at other times of the day.ConclusionMost sexual encounters take place around bedtime. Although the presence of an endogenous component responsible for this temporal pattern cannot be excluded, the evidence indicates strong environmental forcing, particularly from the work/family schedule of the individuals and from partner availability.

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Section: Resultssupporting

confidence: 88%

Time for sex: nycthemeral distribution of human sexual behavior

Refinetti

2005

J Circadian Rhythms

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“…Laboratory studies have occasionally examined human locomotion of a few subjects over days or months (Aschoff et al, 1967; Chandrashekaran et al, 1997; Endo et al, 1999; Gander et al, 1986; Kriebel, 1974; Natale, 2002), and use of ambulatory accelerometer technology more recently has made it possible to monitor the activity of individuals living natural lives for a year or longer, but again with a limited number of subjects (Binkley et al, 1990; Yoneyama et al, 1999). Surveys of sleeping habits have been conducted in numerous countries (Giannotti et al, 2002; Hébert et al, 1998; Horne & Östberg, 1977; Jean-Louis et al, 2000; Laberge et al, 2000; Park et al, 1997; Refinetti, 1995; Roenneberg et al, 2003), thus allowing a gross comparison of activity times around the world, but without real-time resolution.…”

Section: Introductionmentioning

confidence: 99%

Daily activity patterns of 2316 men and women from five countries differing in socioeconomic development

Sani

Refinetti

Jean-Louis

et al. 2015

Chronobiology International

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Daily rhythmicity in the locomotor activity of laboratory animals has been studied in great detail for many decades, but the daily pattern of locomotor activity has not received as much attention in humans. We collected waist-worn accelerometer data from more than 2,000 individuals from five countries differing in socioeconomic development and conducted a detailed analysis of human locomotor activity. Body mass index was computed from height and weight. Individual activity records lasting 7 days were subjected to cosinor analysis to determine the parameters of the daily activity rhythm: mesor (mean level), amplitude (half the range of excursion), acrophase (time of the peak), and robustness (rhythm strength). The activity records of all individual participants exhibited statistically significant 24-hour rhythmicity, with activity increasing noticeably a few hours after sunrise and dropping off around the time of sunset, with a peak at 1:42 pm on average. The acrophase of the daily rhythm was comparable in men and women in each country but varied by as much as 3 h from country to country. Quantification of the socioeconomic stages of the five countries yielded suggestive evidence that more developed countries have more obese residents, who are less active, and who are active later in the day than residents from less developed countries. These results provide a detailed characterization of the daily activity pattern of individual human beings and reveal similarities and differences among people from five countries differing in socioeconomic development.

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“…A study monitoring wrist-activity showed no association of sleep duration and moon phase [28]. Lastly, the moon cycle had no effect on human daily rhythm, wake-up and tosleep times in 4 volunteers [29]. An analysis of diaries kept by 196 participants showed no association between full moon and dream recall [30].…”

Section: Introductionmentioning

confidence: 99%

Association between lunar phase and sleep characteristics

et al. 2014

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230Main text: 2938 Tables: 4 3 ABSTRACT Objectives: Popular belief holds that the lunar cycle affects human physiology, behavior and health, including sleep. To date, only a few and conflicting analyses have been published about the association between lunar phases and sleep. Our aim was to analyze the relationship between lunar phases and sleep characteristics. Methods:In this retrospective, cross-sectional analysis data from 319 patients who had been referred for sleep study were included. Individuals with apnea-hypopnea index≥15/h were excluded. Sociodemographic parameters were recorded. All participants underwent one-night standard polysomnography. Associations between lunar cycle (new moon, full moon and alternate moon) and sleep parameters were examined in unadjusted and adjusted models.Results: 57% of patients were males. Mean age for men was 45±14 years and 51±12 years for women. 224 persons had their sleep study done during alternate moon, 47 during full moon and 48 during new moon. There were no significant differences regarding age and gender between groups.Full moon was associated with lower sleep efficiency (median(%) [ Conclusion:Our results are consistent with a recent report and the widely held belief that sleep characteristics may be associated with the full moon.

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Human daily rhythms measured for one year

Cited by 29 publications

References 4 publications

Time for sex: nycthemeral distribution of human sexual behavior

Time for sex: nycthemeral distribution of human sexual behavior

Daily activity patterns of 2316 men and women from five countries differing in socioeconomic development

Association between lunar phase and sleep characteristics

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