| Title |
Birth month affects lifetime disease risk: a phenome-wide method
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, June 2015
|
| DOI | 10.1093/jamia/ocv046 |
| Pubmed ID | |
| Authors |
Mary Regina Boland, Zachary Shahn, David Madigan, George Hripcsak, Nicholas P Tatonetti |
| Abstract |
An individual's birth month has a significant impact on the diseases they develop during their lifetime. Previous studies reveal relationships between birth month and several diseases including atherothrombosis, asthma, attention deficit hyperactivity disorder, and myopia, leaving most diseases completely unexplored. This retrospective population study systematically explores the relationship between seasonal affects at birth and lifetime disease risk for 1688 conditions. We developed a hypothesis-free method that minimizes publication and disease selection biases by systematically investigating disease-birth month patterns across all conditions. Our dataset includes 1 749 400 individuals with records at New York-Presbyterian/Columbia University Medical Center born between 1900 and 2000 inclusive. We modeled associations between birth month and 1688 diseases using logistic regression. Significance was tested using a chi-squared test with multiplicity correction. We found 55 diseases that were significantly dependent on birth month. Of these 19 were previously reported in the literature (P < .001), 20 were for conditions with close relationships to those reported, and 16 were previously unreported. We found distinct incidence patterns across disease categories. Lifetime disease risk is affected by birth month. Seasonally dependent early developmental mechanisms may play a role in increasing lifetime risk of disease. |
X Demographics
The data shown below were collected from the profiles of 635 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 89 | 14% |
| United States | 88 | 14% |
| United Kingdom | 15 | 2% |
| Canada | 11 | 2% |
| Spain | 10 | 2% |
| Russia | 6 | <1% |
| Australia | 6 | <1% |
| Korea, Republic of | 6 | <1% |
| Brazil | 4 | <1% |
| Other | 54 | 9% |
| Unknown | 346 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 561 | 88% |
| Scientists | 45 | 7% |
| Practitioners (doctors, other healthcare professionals) | 17 | 3% |
| Science communicators (journalists, bloggers, editors) | 12 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | 1% |
| Spain | 2 | <1% |
| South Africa | 1 | <1% |
| Argentina | 1 | <1% |
| Italy | 1 | <1% |
| Singapore | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 257 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 18% |
| Researcher | 48 | 18% |
| Student > Master | 29 | 11% |
| Student > Bachelor | 24 | 9% |
| Other | 16 | 6% |
| Other | 60 | 22% |
| Unknown | 45 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 70 | 26% |
| Agricultural and Biological Sciences | 30 | 11% |
| Biochemistry, Genetics and Molecular Biology | 18 | 7% |
| Computer Science | 17 | 6% |
| Nursing and Health Professions | 15 | 6% |
| Other | 54 | 20% |
| Unknown | 68 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1210. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2024.
All research outputs
#11,875
of 25,795,662 outputs
Outputs from Journal of the American Medical Informatics Association
#2
of 3,340 outputs
Outputs of similar age
#71
of 282,187 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#1
of 57 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 99% of its peers.
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