Evidence map›Paper›PMID 34140029›Full record

ArticleBMC nursing2021

Relationship between sleep habits and academic performance in university Nursing students.

Juana Inés Gallego-Gómez, María Teresa Rodríguez González-Moro, José Miguel Rodríguez González-Moro, Tomás Vera-Catalán, Serafín Balanza, Agustín Javier Simonelli-Muñoz, José Miguel Rivera-Caravaca

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

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  10. Sleep health and occupational balance in university students in Singapore.The British journal of occupational therapy · 2025
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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 5 institutions in 1 country.

Juana Inés Gallego-GómezFaculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain.
María Teresa Rodríguez González-MoroFaculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain.
José Miguel Rodríguez González-MoroDepartment of Pneumology, Alcalá de Henares, Hospital Universitario Príncipe de Asturias, 28805, Madrid, Spain.
Tomás Vera-CatalánFaculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain.
Serafín BalanzaFaculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain.
Agustín Javier Simonelli-MuñozDepartment of Nursing, Physiotherapy and Medicine, Faculty of Health Sciences,, University of Almería, Ctra. Sacramento, s/n 04120 La Cañada de San Urbano, 04007, Almería, Spain. sma147@ual.es.
José Miguel Rivera-CaravacaDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), CIBERCV, 30120, Murcia, Spain.
Universidad Católica San Antonio de Murcia · ESUniversidad de Murcia · ESHospital Universitario Príncipe de Asturias · ESInstituto Murciano de Investigación Biosanitaria · ESUniversity of Almería · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disorders are composed of a group of diseases of increasing prevalence and with social-health implications to be considered a public health problem. Sleep habits and specific sleep behaviors have an influence on the academic success of students. However, the characteristics of sleep and sleep habits of university students as predictors of poor academic performance have been scarcely analyzed. In the present study, we aimed to investigate sleep habits and their influence on academic performance in a cohort of Nursing Degree students.

methodsThis was a cross-sectional and observational study. An anonymous and self-administered questionnaire was used, including different scales such as the 'Morningness and Eveningness scale', an author-generated sleep habit questionnaire, and certain variables aimed at studying the socio-familial and academic aspects of the Nursing students. The association of sleep habits and other variables with poor academic performance was investigated by logistic regression. The internal consistency and homogeneity of the 'sleep habits questionnaire' was assessed with the Cronbach's alpha test.

resultsOverall, 401 students (mean age of 22.1 ± 4.9 years, 74.8 % females) from the Nursing Degree were included. The homogeneity of the 'sleep habits questionnaire' was appropriate (Cronbach's alpha = 0.710). Nursing students were characterized by an evening chronotype (20.2 %) and a short sleep pattern. 30.4 % of the Nursing students had bad sleep habits. Regarding the academic performance, 47.9 % of the students showed a poor one. On multivariate logistic regression analysis, a short sleep pattern (adjusted OR = 1.53, 95 % CI 1.01-2.34), bad sleep habits (aOR = 1.76, 95 % CI 1.11-2.79), and age < 25 years (aOR = 2.27, 95 % CI 1.30-3.98) were independently associated with a higher probability of poor academic performance.

conclusionsAlmost 1/3 of the Nursing students were identified as having bad sleep habits, and these students were characterized by an evening chronotype and a short sleep pattern. A short sleep pattern, bad sleep habits, and age < 25 years, were independently associated with a higher risk of poor academic performance. This requires multifactorial approaches and the involvement of all the associated actors: teachers, academic institutions, health institutions, and the people in charge in university residences, among others.

Indexed as

Academic performanceCircadian rhythmNursing studentsSleep habitsSleep pattern

Identifiers

PMID34140029
PMCPMC8212524
OpenAlexW3169888596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.