Evidence map›Paper›PMID 34506703›Full record

ArticleRevista colombiana de obstetricia y ginecologia2021

Prevalencia de problemas de sueño en mujeres climatéricas colombianas durante la pandemia COVID-19

Álvaro Monterrosa-Castro, Angélica Monterrosa-Blanco

Abstract read
In one paragraph

Article in Revista colombiana de obstetricia y ginecologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Álvaro Monterrosa-CastroFacultad de Medicina. Universidad de Cartagena, Cartagena (Colombia). alvaromonterrosa@gmail.com.
Angélica Monterrosa-BlancoFundación Universitaria Ciencias de la Salud (FUCS), Bogotá (Colombia). angiemon38@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To make an approximation to the prevalence of sleep disorders in Colombian menopausal women during the COVID-19 pandemic Materials and Methods: Cross-sectional study as part of the Quality of Life in Menopause and Colombian Ethnic Groups research project [CAVIMEC+COVID STUDY]. The population consisted of women born and residing in Colombia, 40 to 59 years of age, who signed an informed consent and agreed to participate by completing an online form, freely and anonymously, in the first five days of June 2020. Sleep disorders were identified using the third item on the Menopause Rating Scale. Sociodemographic characteristics, presence and severity of sleep disorders and menopause status were explored. Descriptive statistics are provided. Results: Overall, 984 women aged 47.0 [IQR: 42.0-53.5] years were included: 84.5% mestizo, 13.7% Afro-Colombian, 1.7% indigenous; 39.3% were postmenopausal; 70% lived in the Caribbean region of Colombia. Sleep disorders were reported by 637 women (64.7%), and 112 (11.3%) had severe sleep disorders. Among postmenopausal women, 65.1% reported sleep disorders with 10.1% reporting severe disorders, while 64.5% of premenopausal reported sleep disorders, and 12.2% severe disorders. Conclusions: Sleep disorders could be a frequent problem among premenopausal as well as postmenopausal women in the pandemic time. This issue should be explored during gynecological visits in order to offer solutions. Population studies that confirm these observations are required.

Indexed as

COVID-19AdultColombiaCross-Sectional StudiesFemaleHumansMenopauseMiddle AgedPrevalenceSleep Wake Disorderscircadian rhythm disorderscoronavirusmenopausemiddle aged individualpandemicssleep disorders

Identifiers

PMID34506703
PMCPMC8425361

What OpenQuestion holds

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Registered trials

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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.