Evidence map›Paper›PMID 22345841›Full record

ArticleIndian journal of psychological medicine2011

Internet addiction and modeling its risk factors in medical students, iran.

Farhad Ghamari, Abolfazl Mohammadbeigi, Narges Mohammadsalehi, Amir Almasi Hashiani

Open access · bronzeAbstract read
In one paragraph

Article in Indian journal of psychological medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
13.5field-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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 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

4 authors at 2 institutions in 1 country.

Farhad GhamariDepartment of Occupational health, Health School, Arak University of Medical Sciences, Arak, Iran.
Abolfazl Mohammadbeigi
Narges Mohammadsalehi
Amir Almasi Hashiani
Arak University of Medical Sciences · IRQom University of Medical Science and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday's internet is a usual and common method for identifying and fulfilling unknown practices. Internet network has been prepared rapid and comfortable access to information. Internet addiction is a new and attractive subject that has been regarded as behavior-based addiction recently. PURPOSE: To estimate the prevalence of internet addiction and some of the related factors among medical students, Iran. MATERIALS AND

methodsAn analytical cross-sectional study was conducted on 426 students selected through two-stage sampling method. Yang standard internet addiction questionnaire was used for data collection. After data entry, χ(2), t-test, and Pearson coefficient statistical tests were applied. 0.05 was considered as the significance level.

resultsThe overall prevalence of internet addiction was 10.8%, with moderate and severe internet addiction equal to 8% and 2.8%, respectively. Mean and standard deviation of Yang internet addiction score was calculated as 32.74±14.52. Internet addiction was associated with sex, marital status, father's job, rate of knowledge about computer and internet, and educational level (P<0.05). But it was not associated with the parents' education, residential area, field of study and level, and school of education (P>0.05).

conclusionBecause internet addiction leads to wasting of the students' leisure time and also useful time, it affects the educational situation inversely. Some measures should be taken to plan and improve the use of internet.

Indexed as

Addictioneducational situationinternetstudentsYang

Identifiers

PMID22345841
PMCPMC3271491
OpenAlexW2081764215

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.