Evidence map›Paper›PMID 33526880›Full record

ArticleNature human behaviour2021

Daily, weekly, seasonal and menstrual cycles in women's mood, behaviour and vital signs.

Emma Pierson, Tim Althoff, Daniel Thomas, Paula Hillard, Jure Leskovec

Abstract read
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In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–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

39 citing papers in PubMed.

  1. Article
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  6. Observational
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  15. Article
  16. Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024
    Review
  17. Talking openly about menstruation.Nature human behaviour · 2024
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emma PiersonDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Tim AlthoffPaul G. Allen School of Computer Science & Engineering, University of Washington, Washington, WA, USA.
Daniel ThomasClue by BioWink GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0002-0639-3138
Paula HillardDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1796-1532
Jure LeskovecDepartment of Computer Science, Stanford University, Stanford, CA, USA. jure@cs.stanford.edu.ORCID http://orcid.org/0000-0002-5411-923X

Funding

Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
NIBIB NIH HHS U54 EB020405
6 · The paper itself

Abstract

Dimensions of human mood, behaviour and vital signs cycle over multiple timescales. However, it remains unclear which dimensions are most cyclical, and how daily, weekly, seasonal and menstrual cycles compare in magnitude. The menstrual cycle remains particularly understudied because, not being synchronized across the population, it will be averaged out unless menstrual cycles can be aligned before analysis. Here, we analyse 241 million observations from 3.3 million women across 109 countries, tracking 15 dimensions of mood, behaviour and vital signs using a women's health mobile app. Out of the daily, weekly, seasonal and menstrual cycles, the menstrual cycle had the greatest magnitude for most of the measured dimensions of mood, behaviour and vital signs. Mood, vital signs and sexual behaviour vary most substantially over the course of the menstrual cycle, while sleep and exercise behaviour remain more constant. Menstrual cycle effects are directionally consistent across countries.

Indexed as

ExerciseSexual BehaviorSleepAdolescentAdultAffectBehaviorChildDatabases, FactualFemaleHumansMenstrual CycleMobile ApplicationsSeasonsVital SignsYoung Adult

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.