Article

Birth rate and its correlation with the lunar cycle and specific atmospheric conditions.

Department of Obsetetrics, Gynecology and Women's Health, Maricopa Integrated Health System/MedPro, Phoenix, AZ, USA.
American Journal of Obstetrics and Gynecology (Impact Factor: 3.97). 07/2005; 192(6):1970-3. DOI: 10.1016/j.ajog.2005.02.066
Source: PubMed

ABSTRACT This study was undertaken to use the Arizona State birth certificate database for Phoenix metropolitan hospitals, in conjunction with National Weather Service records to determine whether there is a relationship between birth rate and meteorologic or lunar conditions. This study attempts to dispel or lend significance to beliefs among hospital staff that the phase of the moon and/or meteorologic conditions are related to birth rate.
Birth records were limited to spontaneous vaginal deliveries, 37 to 40 weeks' gestation, in Phoenix, between 1995 and 2000 (n = 167,956). Daily birth counts were merged with daily surface weather statistics from the National Weather Service for Sky Harbor Airport, and records of lunar phase for the same period.
The analyses revealed no significant correlates of birth rate.
Although there exists a popular belief that the phase of the lunar cycle and weather conditions affect birth rate, no such evidence was found in this study.

1 Bookmark
 · 
103 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: The purpose of this study was to examine the influence of the lunar phases and lunar brightness on cardiac autonomic function (CAF) in healthy individuals. A total of 177 healthy individuals were included in the study. All individuals underwent 24 h ambulatory electrocardiography (Holter monitoring). Four groups were used at different phases and brightnesses of the moon. Cardiac sympathetic and parasympathetic activity was assessed using heart rate variability (HRV). Time domain and spectral power analyses were used on the results obtained from Holter monitoring. Standard deviation of all R–R intervals (SDNN), standard deviation of the averages of R–R intervals in all 5-min segments of the entire recording (SDANN), SDNN index, the square root of the mean of the sum of the squares of differences between adjacent R–R intervals (RMSSD) and NN50 count divided by the total number of all NN intervals (pNN50) were obtained from the time-domain analyses. Spectral power analysis was used to estimate total power and very low frequency (VLF), low frequency (LF) and high frequency (HF) components. The results from time domain and spectral power analyses were divided into two groups for separately estimating cardiac sympathetic and parasympathetic activities when awake (06:00–22:00 h) and asleep (22:00–06:00 h). Results are presented as mean ± SD, a p-value being considered significant if p r = 0.224, p = 0.028). Even though no relationships between the phase of the moon and CAF was found using HRV analysis, the brightness of the moon affected women’s CAF during sleep.
    Biological Rhythm Research 10/2013; 44(5). DOI:10.1080/09291016.2012.731211 · 1.22 Impact Factor
  • [Show abstract] [Hide abstract]
    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. Socio-demographic 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 Fifty-seven percent of patients were males. Mean age for men was 45 ± 14 years and 51 ± 12 years for women. In total, 224 persons had their sleep study done during alternate moon, 47 during full moon, and 48 during new moon. Full moon was associated with lower sleep efficiency [median (%)(IQR): new moon 82 (18), full moon 74 (19), alternate moon 82 (15); P < 0.001], less deep sleep [median (%) (IQR): new moon 9 (9), full moon 6 (4), alternate moon 11 (9); P < 0.001] and increased REM latency [median (min) (IQR): new moon 98 (74), full moon 137 (152), alternate moon 97 (76); P < 0.001], even after adjustment for several covariables. Conclusion The results are consistent with a recent report and the widely held belief that sleep characteristics may be associated with the full moon.
    Sleep Medicine 08/2014; 15(11). DOI:10.1016/j.sleep.2014.06.020 · 3.10 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Introduction: It is important to consider the hierarchy that classifies the strength of evidence sources from the Evidence-Based Medicine point of view. This recognition should not put aside elements from the lower part of this scale. Method: In order to illustrate the proposed relevancy of all evidence levels, an example is used. The evidence that has been gathered on the subject of the Moon's influence on psychiatric pathology and the methodological difficulties that this topic implies are noted. Discussion and Conclusion: The methodological difficulties that can present themselves during the process of research and the way in which they can affect the evidence obtained are discussed. In turn, the evidence obtained should not be considered as absolute and incontrovertible knowledge. Additionally, possible designs for research on lunar influence on psychopathologic manifestations are suggested.
    06/2010; 39(2):415-423.