Evidence map›Paper›PMID 30214312›Full record

ArticleClinical epidemiology2018

Mental health, psychotropic medication use, and menstrual cycle characteristics.

Yael I Nillni, Amelia K Wesselink, Elizabeth E Hatch, Ellen M Mikkelsen, Jaimie L Gradus, Kenneth J Rothman, Lauren A Wise

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Neighborhood disadvantage and fecundability in a cohort of US Black women.Environmental epidemiology (Philadelphia, Pa.) · 2025
    Article
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  12. Observational
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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 2 institutions in 2 countries.

Yael I NillniDepartment of Psychiatry, Boston University School of Medicine, Boston, MA, USA, ynillni@bu.edu.
Amelia K WesselinkDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Elizabeth E HatchDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Ellen M MikkelsenDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark.
Jaimie L GradusDepartment of Psychiatry, Boston University School of Medicine, Boston, MA, USA, ynillni@bu.edu.
Kenneth J RothmanDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Lauren A WiseDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Boston University · USAarhus University · DK

Funding

An internet-based preconception cohort study in North America and DenmarkR01HD086742 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAUREN A WISE · 2016 to 2026
$6.7M
BURPPE:BU Reproductive, Perinatal, and Pediatric Epidemiology Training ProgramT32HD052458 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WERLER, MARTHA M. · 2007 to 2016
$2.0M
PTSD-Related Neurobiological Mediators of Negative Pregnancy OutcomesK23HD087428 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NILLNI, YAEL I · 2017 to 2020
$616k
Feasibility of an internet-based study of time-to-pregnancy in the United StatesR21HD072326 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WISE, LAUREN A · 2013 to 2014
$337k
NICHD NIH HHS K23 HD087428NICHD NIH HHS R01 HD086742NICHD NIH HHS R21 HD072326NICHD NIH HHS T32 HD052458
6 · The paper itself

Abstract

purposeTo examine the influence of depressive symptoms, perceived stress, and psychotropic medication use on prospectively assessed menstrual cycle regularity and length. PARTICIPANTS AND

methodsData were obtained from Pregnancy Study Online, a prospective cohort study of pregnancy planners from North America. At baseline, women reported information on demographics, anthropometrics, lifestyle, and medical history, including their use of psychotropic medications. They also completed the Major Depression Inventory and the Perceived Stress Scale. Every 8 weeks for up to 12 months or until conception, women completed follow-up questionnaires to assess changes in psychotropic medication use, perceived stress, and menstrual cycle characteristics (ie, cycle regularity and length). Women who completed at least one follow-up questionnaire from 2013 to 2018 (n=3,346) were included in the primary analyses. A total of 5,439 women were included in secondary analyses utilizing baseline data only. Primary analyses estimated prevalence ratios (PR) and 95% CIs using log-binomial regression models.

resultsWomen with severe depressive symptoms at baseline, regardless of psychotropic medication use, had an 80% greater prevalence of irregular cycles during follow-up than women with no or low depressive symptoms (PR =1.80, 95% CI =1.48-2.19). Perceived stress was also associated with the prevalence of irregular cycles during follow-up (PR =1.33, 95% CI =1.14-1.55). Psychotropic medication use was not appreciably associated with menstrual characteristics after controlling for history of diagnosed depression and/or anxiety. Depressive symptoms, perceived stress, and psychotropic medication use showed little association with menstrual cycle length.

conclusionHigher levels of depressive symptoms and perceived stress were associated with irregular menstrual cycles, but not appreciably associated with menstrual cycle length. Use of psychotropic medications was not meaningfully associated with cycle regularity or length.

Indexed as

depressionmenstrual cycle irregularityperceived stresspsychotropic medication

Identifiers

PMID30214312
PMCPMC6118267
OpenAlexW2889503750

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.