Evidence map›Paper›PMID 31852664›Full record

ArticleBMJ (Clinical research ed.)2019

Birth month, birth season, and overall and cardiovascular disease mortality in US women: prospective cohort study.

Yin Zhang, Elizabeth E Devore, Susanne Strohmaier, Francine Grodstein, Eva S Schernhammer

Abstract readEvaluation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Understanding the role of vitamin D in osteosarcoma: A narrative review.Medical oncology (Northwood, London, England) · 2025
    Review
  3. Article
  4. The Health Costs of Cost Sharing.The quarterly journal of economics · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yin ZhangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-6367-6583
Elizabeth E DevoreChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Susanne StrohmaierChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Francine GrodsteinChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Eva S SchernhammerChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA eva.schernhammer@channing.harvard.edu.ORCID 0000-0002-4337-9415

Funding

Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Minimizing Cancer Risk in Shift WorkersR01OH009803 · OH · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERNHAMMER, EVA S · 2010 to 2018
$4.5M
NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107NIOSH CDC HHS R01 OH009803
6 · The paper itself

Abstract

objectivesTo evaluate the associations between birth month, birth season, and overall and cardiovascular disease mortality, and to examine the role of familial and socioeconomic factors in these associations.

designProspective cohort study.

settingNurses' Health Study, established in 1976, an ongoing prospective cohort study in the United States.

participantsFemale registered nurses who reported information on date of birth at study enrolment (n=116 911, 1976-2014, followed for 38 years). EXPOSURE: Birth month and astronomical birth season (based on solstices and equinoxes as boundaries of the season categories).

main outcome measuresAge and various multivariable adjusted hazard ratios and 95% confidence intervals for the association between birth months (using November as the reference), astronomical birth season (using autumn as the reference), and overall and cardiovascular disease specific mortality were assessed using Cox proportional hazards models.

resultsAmong study participants, 43 248 overall deaths were documented during 4 136 364 person years of follow-up since enrolment, including 8360 cardiovascular disease related deaths. In fully adjusted multivariable analyses, no significant association was observed between birth month, birth season, and overall mortality. Compared with women born in November, increased cardiovascular disease mortality was observed among those born from March to July (hazard ratio for March, 1.09, 95% confidence interval 0.98 to 1.21; April, 1.12, 1.00 to 1.24; May, 1.08, 0.98 to 1.20; June, 1.07, 0.96 to 1.19; and July 1.08, 0.98 to 1.20). Those born in April had the highest cardiovascular disease mortality, and those born in December had the lowest (December, 0.95, 0.85 to 1.06). The relative difference between the lowest and highest risk month was 17.89%. Women born in spring (1.10, 1.04 to 1.17) and summer (1.09, 1.03 to 1.16) had a higher cardiovascular disease mortality than women born in the autumn. Adjustment for familial and socioeconomic factors did not change these results. The relative difference between the lowest and highest risk season was 10.00%.

conclusionParticipants born in the spring and summer (especially those born in March-July) had a slight but significant increase in cardiovascular disease specific mortality. However, no seasonal birth month effect was observed among women for overall mortality. Familial and socioeconomic factors did not appear to alter these associations. Further studies are required to confirm these findings and reveal mechanisms of these seasonal birth month effects in cardiovascular disease mortality.

Indexed as

SeasonsTime FactorsAdultCardiovascular DiseasesFemaleHumansLongitudinal StudiesMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID31852664
PMCPMC7190053

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.