Evidence map›Paper›PMID 27385613›Full record

ArticleThe American journal of clinical nutrition2016

A prospective study of caffeine and coffee intake and premenstrual syndrome.

Alexandra C Purdue-Smithe, JoAnn E Manson, Susan E Hankinson, Elizabeth R Bertone-Johnson

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  6. Prevalence of premenstrual syndrome and related factors among nurses.Journal of the Turkish German Gynecological Association · 2024
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  9. Association between Dietary Habits and Severity of Symptoms in Premenstrual Syndrome.International journal of environmental research and public health · 2023
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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

4 authors at 3 institutions in 1 country.

Alexandra C Purdue-SmitheDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA;
JoAnn E MansonChanning Division of Network Medicine and Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA; Channing Division of Network Medicine and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Elizabeth R Bertone-JohnsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA; ebertone@schoolph.umass.edu.
Brigham and Women's Hospital · USAmherst College · USUniversity of Massachusetts Amherst · US

Funding

Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Epidemiology of premenstrual syndrome and premenstrual dysphoric disorderK01MH076274 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI BERTONE-JOHNSON, ELIZABETH R · 2007 to 2011
$848k
Premenstrual syndrome and risk of subsequent hypertensionR21HL115357 · NHLBI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI BERTONE-JOHNSON, ELIZABETH R · 2012 to 2013
$381k
NCI NIH HHS UM1 CA176726NHLBI NIH HHS R21 HL115357NIMH NIH HHS K01 MH076274
6 · The paper itself

Abstract

backgroundClinically significant premenstrual syndrome (PMS) affects 15-20% of premenopausal women, substantially reducing quality of life. Women with PMS often are counseled to minimize caffeine intake, although only limited evidence supports this recommendation.

objectiveWe evaluated the association between total caffeine, coffee, and tea intake and the development of PMS in a case-control study nested within the prospective Nurses' Health Study II.

designAll participants were free from PMS at baseline (1991). PMS cases reported a new clinician-made diagnosis of PMS on biennial questionnaires between 1993 and 2005, and then confirmed symptom timing and moderate-to-severe impact and severity of symptoms with the use of a retrospective questionnaire (n = 1234). Controls did not report PMS and confirmed experiencing no symptoms or few mild symptoms with limited personal impact (n = 2426). Caffeine, coffee, and tea intake was measured by food-frequency questionnaires every 4 y, and data on smoking, body weight, and other factors were updated every 2-4 y. Logistic regression was used to evaluate the associations of total caffeine intake and frequency of coffee and tea consumption with PMS.

resultsAfter adjustment for age, smoking, and other factors, total caffeine intake was not associated with PMS. The OR comparing women with the highest (quintile median = 543 mg/d) to the lowest (quintile median = 18 mg/d) caffeine intake was 0.79 (95% CI: 0.61, 1.04; P-trend = 0.31). High caffeinated coffee intake also was not associated with risk of PMS or specific symptoms, including breast tenderness (OR for ≥4 cups/d compared with <1/mo: 0.73; 95% CI: 0.48, 1.12; P-trend = 0.44).

conclusionsOur findings suggest that caffeine intake is not associated with PMS, and that current recommendations for women to reduce caffeine intake may not help prevent the development of PMS.

Indexed as

Premenstrual SyndromeAdultCaffeineCase-Control StudiesCoffeaCoffeeFemaleHumansLogistic ModelsProspective StudiesRisk FactorsTeaCaffeineCoffeeTeacaffeinecoffeepremenstrual syndrometeawomen’s health

Identifiers

PMID27385613
PMCPMC4962155
OpenAlexW2468740700

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.