Evidence map›Paper›PMID 37225722›Full record

ArticleScientific reports2023

A multi-site study of the relationship between photoperiod and ovulation rate using Natural Cycles data.

Divya Shanmugam, Matthew Espinosa, Jeffrey Gassen, Agathe van Lamsweerde, Jack T Pearson, Eleonora Benhar, Sarah Hill

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

7 authors at 3 institutions in 1 country.

Divya ShanmugamDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. divyas@mit.edu.
Matthew EspinosaDepartment of Psychology, Texas Christian University, 2955 S. University Dr., Fort Worth, TX, 76129, USA.
Jeffrey GassenDepartment of Anthropology, Baylor University, 1214 S. 4Th St., Waco, TX, 76706, USA.
Agathe van LamsweerdeNatural Cycles USA Corp, New York, NY, USA.
Jack T PearsonNatural Cycles USA Corp, New York, NY, USA.
Eleonora BenharNatural Cycles USA Corp, New York, NY, USA.
Sarah HillDepartment of Psychology, Texas Christian University, 2955 S. University Dr., Fort Worth, TX, 76129, USA.
Texas Christian University · USBaylor University · USMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many species exhibit seasonal patterns of breeding. Although humans can shield themselves from many season-related stressors, they appear to exhibit seasonal patterns of investment in reproductive function nonetheless, with levels of sex steroid hormones being highest during the spring and summer months. The current research builds on this work, examining the relationship between day length and ovarian function in two large samples of women using data from the Natural Cycles birth control application in each Sweden and the United States. We hypothesized that longer days would predict higher ovulation rates and sexual motivation. Results revealed that increasing day length duration predicts increased ovulation rate and sexual behavior, even while controlling for other relevant factors. Results suggest that day length may contribute to observed variance in women's ovarian function and sexual desire.

Indexed as

BreedingPhotoperiodContraceptionFemaleHumansInvestmentsOvulation

Identifiers

PMID37225722
PMCPMC10209102
OpenAlexW4378173464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.