Full moons increase human erratic behavior and admissions
the verdict
REFUTED
the evidence says no
refutedsupported
the weight of evidence
4 sources for · 4 against
Extensive peer-reviewed literature and meta-analyses consistently show no correlation between full moons and an increase in human erratic behavior or psychiatric hospital admissions.
Before the availability of artificial light, moonlight was the only source of light sufficient to stimulate nighttime activity; still, evidence for the modulation of sleep timing by lunar phases is controversial. Here, we use wrist actimetry to show a clear synchronization of nocturnal sleep timing with the lunar cycle in participants living in environments that range from a rural setting with and without access to electricity in indigenous Toba/Qom communities in Argentina to a highly urbanized postindustrial setting in the United States. Our results show that sleep starts later and is shorter on the nights before the full moon when moonlight is available during the hours following dusk. Our data suggest that moonlight likely stimulated nocturnal activity and inhibited sleep in preindustrial communities and that access to artificial light may emulate the ancestral effect of early-night moonlight.
To assess the lunar hypothesis as predictive of mental health emergencies and antisocial behavior, the relation of the lunar hypothesis and the occurrence of psychiatric hospital admissions of developmentally disabled adults was examined. The full moon phase of the lunar cycle did not explain a higher rate of hospital admission and accounted for only .007% of the variance. A critique of the methodology in prior research led to the suggestion that more immediate stressors and environmental factors are more plausible contributing factors to hospital admission.
<h4>Objective</h4>To test whether a full moon contributes to motorcycle related deaths.<h4>Design</h4>Population based, individual level, double control, cross sectional analysis.<h4>Setting</h4>Nighttime (4 pm to 8 am), United States.<h4>Participants</h4>13 029 motorcycle fatalities throughout the United States, 1975 to 2014 (40 years).<h4>Main outcome measure</h4>Motorcycle fatalities during a full moon.<h4>Results</h4>13 029 motorcyclists were in fatal crashes during 1482 relevant nights. The typical motorcyclist was a middle aged man (mean age 32 years) riding a street motorcycle with a large engine in a rural location who experienced a head-on frontal impact and was not wearing a helmet. 4494 fatal crashes occurred on the 494 nights with a full moon (9.10/night) and 8535 on the 988 control nights without a full moon (8.64/night). Comparisons yielded a relative risk of 1.05 associated with the full moon (95% confidence interval 1.02 to 1.09, P=0.005), a conditional odds ratio of 1.26 (95% confidence interval 1.17 to 1.37, P<0.001), and an absolute increase of 226 additional deaths over the study interval. The increase extended to diverse types of motorcyclists, vehicles, and crashes; was accentuated during a supermoon; and replicated in analyses from the United Kingdom, Canada, and Australia.<h4>Conclusion</h4>The full moon is associated with an increased risk of fatal motorcycle crashes, although potential confounders cannot be excluded. An awareness of the risk might encourage motorcyclists to ride with extra care during a full moon and, more generally, to appreciate the power of seemingly minor distractions at all times.
Suicide data for this study were available for the period of March 1988 to June 2011, and involved 2111 male and 494 female victims from the Finnish province of Oulu. Data for lunar phases during that period were categorised into three groups: new moon (<25% visible), full moon (>75% visible) and other times with values in between. Seasonal effects were controlled with definitions for winter (Nov, Dec, Jan), spring (Feb, Mar, Apr), summer (May, June, July), and autumn (Aug, Sep, Oct). Suicide occurrences during different lunar phases were compared with their expected distribution using multinomial tests with all tests being two-tailed. Statistical significance was set at p < 0.05. No correlation between suicides and moon phase in any of the four seasons was apparent for male victims, but in winter for women it was (p = 0.001). Further analysis of the data revealed that the full moon association was statistically significant only for premenopausal women, defined as female victims younger than 45 years of age. To explain this unexpected finding a number of factors were considered, e.g., the darkness of a northern Finnish winter with increases of SAD and depression especially in premenopausal women, the influence of the lunar periodicity on the menstrual cycle, and cosmogeophysical effects on the humoral and autonomous nervous system.
Background: The influence of the full moon remains a common explanation for wide range of events from death to violence in psychiatric setting. Research has failed to show an association with psychiatric disorders, suicide and selfpoisoning or accidents. However, an increase in unintentional poisoning, absenteeism and aggression has been reported. Our study assessed whether the gravitational pull of the moon generated a tidal wave of increased emergency urological admissions. Patients and Methods: Data was obtained from the Hospital Centralised Emergency Database for a 2-year period of patients who presented as urological emergencies. We assessed daily patterns in emergency room attendees for age, sex, and disease against the lunar cycle and other weekdays. Results: Thirty-five hundred and fortyseven patients presented as urological emergencies (2,057 men, 1,490 women), overall mean of 4.96 patients per day. There were 68 peak days (>8 admissions/day). Emergency presentations peaked around mid-summer and New Year. Patterns were similar for both female and male attendees. Mean daily attendances peaked on Mondays and troughed on Wednesdays (5.1 ± 2.2 vs. 4.5 ± 2.3). Full moons (5.5 ± 2.3 d, p = 0.75) were associated with a higher urological emergencies compared to other days (4.9 ± 2.4 d) while new moons (5.1 ± 2.4 d, p = 0.89) seemed to calm the urological system. Conclusion: Emergency urological admissions were higher on full moon days. The new moon had a calming effect. These trends though not significant, show a possible influence of the lunar cycle on urological admissions. The debate on the lunar cycle effect on human health and behavior continues.
BACKGROUND
There is an ongoing debate concerning the connection between lunar cycle and psychiatric illness.
AIMS OF THE STUDY
The purpose of the present study was to evaluate the rates of admission to and discharge from psychiatric inpatient treatment, as well as the length of stay, in relation to the lunar cycle, including 20 different categories of phases of the moon.
METHODS
The data of 17,966 cases of people treated in an inpatient setting were analysed. Routine clinical data and data about admission and discharge were used. The lunar calendar was obtained from the website of the US Naval Observatory and was used to calculate the dates of the full moon according to the geographic location of the clinics. The clinics are located in the Canton Grisons in Switzerland. The following phases of the moon throughout the lunar cycle were defined: (a) full moon, (b) quarter waxing moon, (c) new moon, and (d) quarter waning moon. In addition, we coded one day and two days preceding every lunar phase as well as the two days following the respective phases of the moon.
RESULTS
The lunar cycles showed no connection with either admission or discharge rates of psychiatric inpatients, nor was there a relationship with the length of stay.
CONCLUSIONS
Despite the widespread belief that the moon impacts peoples’ mental health and subsequently psychiatric treatment, this study provides no evidence that our celestial neighbour influences our mental well-being.
<h4>Background</h4>Studies indicate that a fraction of nursing professionals believe in a "lunar effect"-a purported correlation between the phases of the Earth's moon and human affairs, such as birth rates, blood loss, or fertility.<h4>Purpose</h4>This article addresses some of the methodological errors and cognitive biases that can explain the human tendency of perceiving a lunar effect where there is none.<h4>Approach</h4>This article reviews basic standards of evidence and, using an example from the published literature, illustrates how disregarding these standards can lead to erroneous conclusions.<h4>Findings</h4>Román, Soriano, Fuentes, Gálvez, and Fernández (2004) suggested that the number of hospital admissions related to gastrointestinal bleeding was somehow influenced by the phases of the Earth's moon. Specifically, the authors claimed that the rate of hospital admissions to their bleeding unit is higher during the full moon than at other times. Their report contains a number of methodological and statistical flaws that invalidate their conclusions. Reanalysis of their data with proper procedures shows no evidence that the full moon influences the rate of hospital admissions, a result that is consistent with numerous peer-reviewed studies and meta-analyses. A review of the literature shows that birth rates are also uncorrelated to lunar phases.<h4>Conclusions</h4>Data collection and analysis shortcomings, as well as powerful cognitive biases, can lead to erroneous conclusions about the purported lunar effect on human affairs. Adherence to basic standards of evidence can help assess the validity of questionable beliefs.
lunar cycle and the behavior and physiology of various species, purportedly including humans. The changing phase and position of the Moon in its orbit
The lunar effect is a link between different stages of the 29.5-day lunar cycle and the behavior and physiology of various species, purportedly including humans. The changing phase and position of the Moon in its orbit impacts night lighting and ocean tides on Earth. Various organisms have adapted to this repeating cycle.
A considerable number of studies have examined the effect on humans. By the
The lunar effect is a link between different stages of the 29.5-day lunar cycle and the behavior and physiology of various species, purportedly including humans. The changing phase and position of the Moon in its orbit impacts night lighting and ocean tides on Earth. Various organisms have adapted to this repeating cycle.
A considerable number of studies have examined the effect on humans. By the late 1980s, there were at least 40 published studies on the purported lunar-lunacy connection, and at least 20 published studies on the purported lunar-birthrate connection. Literature reviews and metanalyses have found no correlation between the lunar cycle and human biology or behavior. In cases such as the approximately monthly cycle of menstruation in humans (but not other mammals), the coincidence in timing reflects no known lunar influence. The widespread and persistent beliefs about the influence of the Moon may depend on illusory correlation – the perception of an association that does not in fact exist.
In a number of marine animals, there is strong evidence for the effects of lunar cycles. Observed effects relating to reproductive synchrony may depend on external cues relating to the presence or amount of moonlight. Corals contain light-sensitive cryptochromes, proteins that are sensitive to different levels of light. Coral species such as Dipsastraea speciosa tend to synchronize spawning in the evening or night, around the last quarter moon of the lunar cycle. In Dipsastraea speciosa, a period of darkness between sunset and moonrise appears to be a trigger for synchronized spawning. Another marine animal, the bristle worm Platynereis dumerilii, spawns a few days after a full moon. It contains a protein with light-absorbing flavin structures that differentially detect moonlight and sunlight. It is used as a model for studying the biological mechanisms of marine lunar cycles.
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