Evidence map›Paper›PMID 34036189›Full record

ArticleHeliyon2021

The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model.

Azam Toozandehjani, Zohreh Mahmoodi, Mitra Rahimzadeh, Alireza Jashni Motlagh, Mahnaz Akbari Kamrani, Sara Esmaelzadeh Saeieh

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Azam ToozandehjaniStudent Research Committee, Alborz University of Medical Sciences, Karaj, Iran.
Zohreh MahmoodiSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Mitra RahimzadehSocial Determinants of Health Research Center, School of Public Health, Alborz University of Medical Sciences, Karaj, Iran.
Alireza Jashni MotlaghNeonatal-Perinatal Medicine Department of Pediatrics, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Mahnaz Akbari KamraniSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Sara Esmaelzadeh SaeiehSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Jahrom University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in high- risk behaviors and the general health status among adolescences.

methodsThis was a descriptive-analytical study of structural equation modeling, conducted on 300 students of Alborz University of Medical Sciences. The multi-stage sampling method was used to identify the number of students aged 19-21 years studying in each faculty in the first stage and convenience sampling was used in the second stage. Data were collected using Iranian Adolescents Risk-taking Scale (IARS), the General Health Questionnaire (GHQ-28) and the Young's Internet Addiction Test (YIAT). The data were analyzed using LISREL version 8.8.

resultsThe results of the measurement model using LISREL software showed a goodness of fit for the conceptual model. Internet addiction had a significant direct positive effect on the adolescents' high-risk behaviors (β = 0.17). Also, Internet addiction had a significant positive effect on the adolescents' general health status (β = 0.33) and general health problems increased by 0.33 per unit of Internet use. The result of structural model revealed no significant effects of general health on high-risk behaviors. Based on the value of the variance determined, Internet addiction could predict 11% of general health. Also, general health and Internet addiction together could predict 2.7% of high- risk behaviors.

conclusionGiven the effect of Internet addiction on the general health and high-risk behavior, it is recommended that adolescents will be screened about internet addiction and the necessary training is given to the adolescents on the appropriate use of Internet. All necessary information should be given to the parents regarding Internet risks and dangers.

Indexed as

AdolescenceGeneral healthHigh risk behaviorInternet addiction

Identifiers

PMID34036189
PMCPMC8134985
OpenAlexW3163050126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.