Evidence map›Paper›PMID 31226148›Full record

ArticlePloS one2019

Tobacco consumption and premenstrual syndrome: A case-control study.

María Del Mar Fernández, Agustín Montes-Martínez, María Piñeiro-Lamas, Carlos Regueira-Méndez, Bahi Takkouche

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

María Del Mar FernándezDepartment of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
Agustín Montes-MartínezDepartment of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
María Piñeiro-LamasDepartment of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
Carlos Regueira-MéndezDepartment of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
Bahi TakkoucheDepartment of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0002-0739-2241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess whether tobacco smoking is associated with Premenstrual Syndrome (PMS) and its most severe form, Premenstrual Dysphoric Disorder (PMDD).

designCase-control study with incident cases using the Spanish public healthcare system.

setting3 major public hospitals and one family counseling and planning center. POPULATION: Women consulting for troubles related to menstruation and for other motives such as screening for uterine cancer, contraception counseling or desire for pregnancy.

methodsLogistic regression.

main outcome measuresOdds Ratios of PMS and PMDD.

results285 incident PMS cases and 285 age-matched controls on the one hand, and 88 incident PMDD cases and 176 controls on the other hand participated in the study. The odds of premenstrual disorders was higher in current smokers compared with never smokers: Odds Ratio (OR) = 1.78, 95% Confidence Interval (CI): 1.20-2.63 for PMS and OR = 2.92, 95%CI: 1.55-5.50 for PMDD. For PMS, women who smoke 1 to 5 cigarettes/day presented an OR = 2.82, 95%CI: 1.57-5.06 and those who smoke more than 15 cigarettes/day an OR = 2.52, 95%CI: 0.99-6.40. Compared to non-smokers, current and ex-smokers who smoked < 3 pack-years presented an OR = 1.79, 95%CI: 1.04-3.08 for PMS, and an OR = 3.06, 95%CI: 1.27-7.35 for PMDD. Smokers of 3 to 8 pack-years presented an OR = 2.34, 95%CI: 1.33-4.13 for PMS and OR = 3.56, 95%CI: 1.55-8.17 for PMDD. These results were confirmed by the exposure-effect curve obtained from a cubic spline model.

conclusionsThis study shows that smokers are more likely to develop PMS and PMDD.

Indexed as

AdultCase-Control StudiesFemaleHumansMiddle AgedPremenstrual Dysphoric DisorderPremenstrual SyndromePrevalenceRisk FactorsSocioeconomic FactorsTobacco SmokingTobacco UseYoung Adult

Identifiers

PMID31226148
PMCPMC6588233

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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.