Evidence map›Paper›PMID 31114630›Full record

ArticleBioPsychoSocial medicine2019

General health of students of medical sciences and its relation to sleep quality, cell phone overuse, social networks and internet addiction.

Rasool Kawyannejad, Maryam Mirzaei, Ali Valinejadi, Behzad Hemmatpour, Hasan Ali Karimpour, Javad AminiSaman, Ebrahim Ezzati, Siavash Vaziri, Mojgan Safaeepour, Saeed Mohammadi

Open access · goldAbstract read
In one paragraph

Article in BioPsychoSocial medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
11.7field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 38 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Rasool Kawyannejad1Department of Anesthesia, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Maryam Mirzaei2Department of Rehabilitation and Sports Medicine, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ali Valinejadi3Department of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
Behzad Hemmatpour4Department of Anesthesia, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Hasan Ali Karimpour4Department of Anesthesia, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Javad AminiSaman4Department of Anesthesia, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ebrahim Ezzati1Department of Anesthesia, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Siavash Vaziri5Department of Infectious Disease, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mojgan Safaeepour1Department of Anesthesia, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Saeed Mohammadi4Department of Anesthesia, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Kermanshah University of Medical Sciences · IRSemnan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the phenomena of access to the cell phone and addiction to the Internet have been developed among students due to their many applications and attractiveness. Therefore, the present study was conducted with the aim of evaluating general health status and also determining the predictive role of variables such as cell phone usage, sleep quality, internet addiction and social networks addiction in students.

methodsThis cross-sectional study was conducted on 321 students of Kermanshah University of Medical Sciences in an analytical approach. Data collection tools were: Goldberg's General Health Questionnaire, Pittburgh Sleep Quality Index, Young Internet Addiction Test, Social Network Addiction Questionnaire, and Cell Phone Overuse Scale. Data analysis was done using SPSS version 21 and general linear model.

resultsBased on the results, the mean (SD) score of the general health was 21.27 (9.49). Variables of gender, sleep quality, and levels of cell phone usage were independent predictors of student's health. Male students (β (95% CI) = - 0.28 (- 0.49 to - 0.01) and students with favorable sleep quality (β (95% CI) = - 0.22 (- 0.44 to - 0.02) had lower total health score than the reference category (female students and students with unfavorable sleep quality, respectively). In addition, students with cell phone overuse (β (95% CI) = 0.39 (0.08 to 0.69) had a higher general health score than the reference category (students with cell phone little use).In general, this group of students had lower general health status (Low or high scores of general health indicate a higher and lower general health status for subjects, respectively).

conclusionVariables of gender, sleep quality and cell phone use were the most important variables associating the general health of medical students.

Indexed as

General healthInternet addictionSleep qualityStudent

Identifiers

PMID31114630
PMCPMC6515609
OpenAlexW2945718015

What OpenQuestion holds

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LicenceCC BY
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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.