Evidence map›Paper›PMID 36060726›Full record

ArticleIndian journal of psychiatry

Internet addiction in adolescents: Role of family, personality and comorbid psychopathology in school children in Eastern India.

Megha Rathi, Prathama Guha, Rajarshi Neogi

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Megha RathiDepartment of Applied Psychology, Calcutta University, West Bengal, India.
Prathama GuhaDepartment of Psychiatry, Calcutta National Medical College, Kolkata, West Bengal, India.
Rajarshi NeogiDepartment of Psychiatry, R.G. Kar Medical College, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: There is an increasing prevalence of internet addiction among adolescents during the COVID-19 pandemic, but very few Indian studies have assessed and taken into account various factors that can explain internet addiction in this vulnerable population. Aims: We examine the differences in family functioning, temperament, character and psychopathology in adolescents with and without internet addiction. Settings and Design: 1000 adolescents from urban middle-class families were included in this cross-sectional, two-randomized-group designed, comparative study. Clinical and control group population were selected from high schools. Those with severe internet addiction were compared to those with no addiction. Methods and Materials: Internet Addiction Test, Temperament and Character Inventory, Devereux Scale of Mental Disorders and McMaster Family Assessment Device were administered along with General Health and CRAFFT Questionnaire as screening tool. Statistical Analysis Used: Mann-Whitney Result: Adolescents with internet addiction had high novelty seeking and low persistence. Internet addiction was also associated with conduct problems and depression. There was a significant positive association between depression and years of internet usage. Family of adolescents with internet addiction had increased difficulty in problem solving, communication, affective responsiveness, affective involvement and behavior control. Conclusion: Adolescents with internet addiction have temperament difficulties, more psychopathology and belong to dysfunctional families. Since the family plays a central role in an Indian context, family-focused strategies must also be included in the management of internet addiction.

Indexed as

Family functioninginternet addictionpersonality dispositionpsychopathology

Identifiers

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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.