Evidence map›Paper›PMID 32814697›Full record

ArticleJournal of research in health sciences2020

Musculoskeletal Consequences in Cyber-Addicted Students - Is It Really A Matter of Health? A ROC Curve Analysis for Prioritizing Risk Factors.

Rashid Heidarimoghadam, Alireza Mortezapour, Fakhradin Ghasemi, Mohammad Ebrahim Ghaffari, Mohammad Babamiri, Mahdi Razie, Khadijeh Bandehelahi

Open access · diamondAbstract read
In one paragraph

Article in Journal of research in health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Rashid HeidarimoghadamResearch Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran. dr_haidari@yahoo.com.
Alireza MortezapourDepartment of Ergonomics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Fakhradin GhasemiDepartment of Ergonomics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammad Ebrahim GhaffariDental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Mohammad BabamiriDepartment of Ergonomics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Mahdi RazieDepartment of Ergonomics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Khadijeh BandehelahiDepartment of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran.
Hamedan University of Medical Sciences · IRGuilan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high prevalence and also multiple consequences of addiction to various online content, including online games and social networks, have become a major challenge. The ability to predict musculoskeletal disorders from this addiction can help reveal in students' health status in the near future. The aim of this study was to determine the prevalence of this addiction and the ability to predict neck pain from this matter in students. STUDY

designA cross sectional study.

methodsThis study was carried out among 665 students. Data collection was performed through three questionnaires on problematic use of online games, social networking addiction, and Nordic musculoskeletal disorders. Data were compared with Chi-square and independent T-test, and the logistic regression model was then presented at a significant level of 0.05. Finally, the area under the receiver operating characteristic (ROC) curve and Discriminant analysis were conducted to clarify associations.

resultsThe prevalence of Internet-related content addiction was 32.8%. The results showed that addiction to social networks and online games can increase the risk of neck disorder. Also 0.58 area under ROC curve depicted the ability to predict neck pain from this addiction.

conclusionIn students with internet - related content addiction, neck disorder can be predicted. Given the high prevalence of internet addiction in students, it is essential to take immediate and appropriate interventions to avoid the associated adverse effects such as neck problems.

Indexed as

InternetStudentsUniversitiesAdolescentAdultArea Under CurveBehavior, AddictiveCross-Sectional StudiesFemaleHumansMaleNeck PainPrevalenceRisk FactorsROC CurveSocial MediaAddiction MedicineAddictiveBehaviorNeck PainSocial mediaVideo Games

Identifiers

PMID32814697
PMCPMC7585751
OpenAlexW3025925187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.