Evidence map›Paper›PMID 35494334›Full record

ArticleIndian journal of psychiatry

Role of self-compassion and online/offline integration on internet addiction, aggression, and psychological well-being: A mediation analysis.

Meera Iyer, Roopali Sharma, Sameer Sahasrabudhe

Abstract read
In one paragraph

Article in Indian journal of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Violence tendency and internet addiction in adolescents.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
  4. 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

3 authors.

Meera IyerAmity Institute of Psychology and Allied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India.
Roopali SharmaAmity Institute of Psychology and Allied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India.
Sameer SahasrabudheEducational Multimedia Research Center, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Internet addiction is known to harmfully affect psychological health. However, few researches have examined its plausible related factors and respite from its effects. Aim: This study aims to examine the relationship between internet addiction, aggression, psychological well-being, and the mediating effects of self-compassion and online/offline integration, on them. Materials and Methods: Data from 459 university students aged between 18 and 21 years were purposively selected from various disciplines and locations in India. Data were collected using an online demographic survey and standardized psychological measures. Statistical Analysis: Data analysis was performed using Partial Least Squares (PLS) path analysis. Direct and indirect effects and path coefficients were observed using PLS structural equation modeling. Results: The study indicated a possible influence of internet addiction on psychological well-being and aggression. It seems to increase aggression levels and lower psychological wellbeing. Online/offline integration and self-compassion partially mediated and dampened its adverse effects. Conclusions: Online/offline integration and self-compassion have a possibility to therapeutically diminish the ill-effects of internet addiction, lower aggression levels and promote psychological health of students who use internet extensively. This study provides a basis for further research to establish causal inferences.

Indexed as

Aggressioninternet addictiononline/offline behaviorpsychological wellbeingself-compassion

Identifiers

What OpenQuestion holds

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Registered trials

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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.