Literature DB >> 12395874

Nationwide description of live Japanese births by day of the week, hour, and location.

Noriko Morita1, Noriko Matsushima, Nozomi Ogata, Keigo Saeki, Mariko Ishibashi, Hideki Komukai, Ryozo Matsuda, Norio Kurumatani.   

Abstract

To characterize temporal variations of live births in Japan, we analyzed data on the 1,203,147 births of 1998. In hospitals, with 20+ beds, the daily average of live births was significantly lower at weekends and national holidays (mean=1,433, SD = 100) than on weekdays (mean = 1,957, SD = 126). Hourly distributions of live births showed a single sharp peak at 1:00-2:59 pm on weekdays with a small peak at an earlier hour on Saturdays, Sundays and national holidays. The results in clinics, with no bed or less than 20 beds, were similar to those in hospitals except on Saturdays. The difference in the daily average of live births between Saturdays and weekdays was smaller in clinics than that found in hospitals, and hourly distributions on Saturdays resembled those of weekdays but not Sundays or national holidays. Maternity homes showed no differences in the mean number of daily live births over the days of the week including national holidays, and no clear peak of percentage distributions of hourly live births on each day of the week. The present study suggests that the weekly and hourly variations observed in hospitals and clinics are not due to a biological rhythm of labor, but to obstetric intervention in the timing of delivery, either through induction of labor or elective cesarean section.

Entities:  

Mesh:

Year:  2002        PMID: 12395874     DOI: 10.2188/jea.12.330

Source DB:  PubMed          Journal:  J Epidemiol        ISSN: 0917-5040            Impact factor:   3.211


  2 in total

1.  The distinctive characteristics of the hourly distribution of live births on specific days in Japan.

Authors:  Mihoko Takahashi
Journal:  Environ Health Prev Med       Date:  2016-10-03       Impact factor: 3.674

2.  Collecting population-based perinatal data efficiently: the example of the Lebanese National Perinatal Survey.

Authors:  Béatrice Blondel; Ali Zein; Nada Ghosn; Christiane du Mazaubrun; Gérard Bréart
Journal:  Paediatr Perinat Epidemiol       Date:  2006-09       Impact factor: 3.980

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.