Evidence map›Paper›PMID 27493592›Full record

ArticleInternational journal of biomedical science : IJBS2016

Self-rated Health and Internet Addiction in Iranian Medical Sciences Students; Prevalence, Risk Factors and Complications.

Abolfazl Mohammadbeigi, Farzaneh Valizadeh, Seyede Roqaie Mirshojaee, Robabeh Ahmadli, Mohsen Mokhtari, Ebrahim Ghaderi, Ali Ahmadi, Heshmatollah Rezaei, Hossein Ansari

Abstract read
In one paragraph

Article in International journal of biomedical science : IJBS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. The Worldwide Prevalence of Internet Addiction among Medical Students: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors.

Abolfazl MohammadbeigiHealth policy and promotion research center, Department of Epidemiology and biostatistics, School of Health, Qom University of Medical Sciences, Qom,/Iran;
Farzaneh ValizadehDeputy of Health, Mazandaran University of Medical Sciences, Babolsar, Iran;
Seyede Roqaie MirshojaeeMSc Student in health services management, Department of Human Services, Electronic Branch, Islamic Azad University, Tehran, Iran;
Robabeh AhmadliHazrate Masoumeh Hospital, Qom University of Medical Sciences, Qom/Iran;
Mohsen MokhtariHealth Vic Chancellor, Arak University of Medical Sciences, Arak / Iran;
Ebrahim GhaderiSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran;
Ali AhmadiModeling in Health Research Center, Department of Epidemiology and Biostatistics, School of Public Health, Shahrekord University of Medical Sciences, Shahrekord, Iran;
Heshmatollah RezaeiHealth Vic Chancellor, Arak University of Medical Sciences, Arak / Iran;
Hossein AnsariHealth Promotion research Center, Department of Epidemiology and biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSelf-rated health is a brief measure for general health. It is a comprehensive and sensitive index for prediction of health in future. Due to the high internet usage in medical students, the current study designed to evaluate the self-rated health (SRH) in relationship with internet addiction risk factors in medical students.

methodsThis cross sectional study conducted on 254 students of Qom University of Medical Sciences 2014. Participants selected by two stage sampling method including stratified and simple random sampling. The Young's questionnaire of internet addiction and SRH question used for data collection. Chi-square, t-test, and logistic regression used in data analysis.

resultsMore than 79.9% of students reported their general health good and very good. The student's mean score of general health was higher than the average. In addition, the prevalence of internet addiction was 28.7%. An inverse significant correlation observed between SRH and internet addiction score (r=-0.198, p=0.002). Using internet for Entertainment, using private Email and chat rooms were the most important predictors of affecting to internet addiction. Moreover, internet addiction is the most predictors of SRH and increased the odds of bad SRH.

conclusionThe good SRH of medical students was higher than general population but in health faculty' students were lower than others. Due to the effect of internet addiction on SRH and increasing trend of internet use in medical students, as well as low age of participants, attention to psychological aspects and the job expectancy in future, can effective on increasing the good SRH.

Indexed as

Internet addictionIranrisk factorsSelf-rated healthStudents

Identifiers

PMID27493592
PMCPMC4947091

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.