Evidence map›Paper›PMID 38846246›Full record

ArticleCureus2024

Prevalence and Predictors of Internet Addiction Among Adolescents Before the First Wave of COVID-19 Lockdown in India.

Poornima Narayanappa, Abhay Nirgude, Prasanthi Nattala, Mariyamma Philip, Karthick Subramanian

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Poornima NarayanappaCollege of Nursing, National Institute of Mental Health and Neurosciences, Bengaluru, IND.
Abhay NirgudeDepartment of Community Medicine, Faculty of Medicine, Yenepoya Medical College, Yenepoya (Deemed to be University), Mangalore, IND.
Prasanthi NattalaDepartment of Nursing, National Institute of Mental Health and Neurosciences, Bengaluru, IND.
Mariyamma PhilipDepartment of Biostatistics, National Institute of Mental Health and Neurosciences, Bengaluru, IND.
Karthick SubramanianDepartment of Psychiatry, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth (Deemed to be University), Pondicherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Internet dependency behavior was found to be prevalent among adolescents even before the first wave of COVID-19 lockdowns across the world including India. Adolescent users develop Internet addiction due to various risk factors. Aim The aim is to measure the prevalence and psychosocial predictors of internet addiction among adolescents before the first wave of the COVID-19 lockdown in India. Methods A cross-sectional, descriptive study before the first wave of the COVID-19 lockdown, included 1199 adolescents of both genders, aged 11 to 19 years, at selected educational settings from a city in south India, by using Young's Internet addiction test (IAT)-20 and structured questioner. Results The study found almost all the participants (100%) were using the internet in a day and the highest number of subjects started using the internet during their 6

Indexed as

adolescentsindiainternet addiction (ia)psychosocial predictorstime before the first wave of covid-19 lockdown

Identifiers

PMID38846246
PMCPMC11155426

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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.