↓ Skip to main content

PLOS

Seasonal Distribution of Psychiatric Births in England

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
13 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
Title
Seasonal Distribution of Psychiatric Births in England
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034866
Pubmed ID
Authors

Giulio Disanto, Julia M. Morahan, Melanie V. Lacey, Gabriele C. DeLuca, Gavin Giovannoni, George C. Ebers, Sreeram V. Ramagopalan

Abstract

There is general consensus that season of birth influences the risk of developing psychiatric conditions later in life. We aimed to investigate whether the risk of schizophrenia (SC), bipolar affective disorder (BAD) and recurrent depressive disorder (RDD) is influenced by month of birth in England to a similar extent as other countries using the largest cohort of English patients collected to date (n = 57,971). When cases were compared to the general English population (n = 29,183,034) all diseases showed a seasonal distribution of births (SC p = 2.48E-05; BAD p = 0.019; RDD p = 0.015). This data has implications for future strategies of disease prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 9 14%
Student > Master 9 14%
Professor 6 9%
Student > Bachelor 5 8%
Other 18 28%
Unknown 5 8%
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Neuroscience 9 14%
Psychology 8 12%
Agricultural and Biological Sciences 6 9%
Social Sciences 3 5%
Other 10 15%
Unknown 9 14%