Evidence map›Paper›PMID 36281419›Full record

ArticleHeliyon2022

Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage.

Sameha Alshakhsi, Khansa Chemnad, Mohamed Basel Almourad, Majid Altuwairiqi, John McAlaney, Raian Ali

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Article
  5. Smartphone use in a large US adult population: Temporal associations between objective measures of usage and mental well-being.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  7. Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. The Relationship among Internet Addiction, Moral Potency, Mindfulness, and Psychological Capital.European journal of investigation in health, psychology and education · 2024
    Article
  14. Article
  15. Article
  16. 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 4 institutions in 4 countries.

Sameha AlshakhsiCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar.
Khansa ChemnadCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar.
Mohamed Basel AlmouradCollege of Technological Innovation, Zayed University, United Arab Emirates.
Majid AltuwairiqiCollege of Computers and Information Technology, Taif University, Saudi Arabia.
John McAlaneyFaculty of Science and Technology, Bournemouth University, UK.
Raian AliCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar.
Hamad bin Khalifa University · QABournemouth University · GBTaif University · SAZayed University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most research on Problematic Internet Usage (PIU) relied on self-report data when measuring the time spent on the internet. Self-reporting of use, typically done through a survey, showed discrepancies from the actual amount of use. Studies exploring the association between trait emotional intelligence (EI) components and the subjective feeling on technology usage and PIU are also limited. The current cross-sectional study aims to examine whether the objectively recorded technology usage, taking smartphone usage as a representative, components of trait EI (sociability, emotionality, well-being, self-control), and happiness with phone use can predict PIU and its components (obsession, neglect, and control disorder). A total of 268 participants (Female: 61.6%) reported their demographic and completed a questionnaire that included Problematic Internet Usage Questionnaire short form (PIUQ-SF-6), Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), level of happiness with the amount and frequency of smartphone use, and living conditions (whether alone or with others). Their smartphone usage was objectively recorded through a dedicated app. A series of one-way ANOVA revealed no significant difference in PIU for different living conditions and a significant difference in the subjective level of happiness with phone usage (F (3, 264) = 7.55, p < .001), as well as of the frequency of usage where the unhappy group had higher PIU (F (3, 264) = 6.85, p < .001). Multiple linear regression analysis showed that happiness with phone usage (β = -.17), the actual usage of communication (β = .17), social media (β = .19) and gaming apps (β = .13), and trait EI component of self-control (β = -.28) were all significant predictors of PIU. Moreover, gender, age, and happiness with the frequency of phone usage were not significant predictors of PIU. The whole model accounted for the total variance of PIU by 32.5% (Adjusted R

Indexed as

Addictive behaviorDigital wellbeingInternet addictionProblematic interenet usageSmartphone apps usageTrait emotional intelligence

Identifiers

PMID36281419
PMCPMC9587279
OpenAlexW4304892856

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.