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Technology addiction among school-going adolescents in India: epidemiological analysis from a cluster survey for strengthening adolescent health programs at district level.
Amudhan, Senthil; Prakasha, Huruli; Mahapatra, Payel; Burma, Ajit Deo; Mishra, Vinayak; Sharma, Manoj Kumar; Rao, Girish N.
  • Amudhan S; Department of Epidemiology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
  • Prakasha H; Health and Family Welfare Department, Government of Karnataka, Karnataka, Ballari 583212, India.
  • Mahapatra P; Department of Epidemiology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
  • Burma AD; Department of Epidemiology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
  • Mishra V; Department of Epidemiology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
  • Sharma MK; Department of Clinical Psychology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
  • Rao GN; Department of Epidemiology, National Institute of Mental Health And Neuro Sciences, Bangalore 560029, India.
J Public Health (Oxf) ; 44(2): 286-295, 2022 06 27.
Article en En | MEDLINE | ID: mdl-33428747
ABSTRACT

BACKGROUND:

There is limited evidence on technology addiction among adolescents in low- and middle-income countries where 90% of global adolescents live. We aimed to investigate the prevalence and correlates of technology addiction (Internet, gaming, smartphone, television) among school-going adolescents in India.

METHODS:

A cross-sectional survey covering the entire district (administrative unit for health) of India was conducted among representative sample of school-going adolescents using stratified cluster sampling. A total of 1729 adolescents completed the survey (age M = 12.58; SD = 0.97) by responding to Internet Addiction Test-Adolescents, Game Addiction Scale, Smartphone Addiction Scale and Television Addiction Scale. Associated factors were analyzed using binomial logistic regression analysis.

RESULTS:

Almost all the participants (99.59%; 95% confidence interval (CI) 99.28-99.91%) were using technology in one or other form. Prevalence of technology addiction among the users was 10.69% (95% CI 5.26-16.11%). Phone addiction (8.91%; 95% CI 3.31-14.52%) was the most common type followed by gaming addiction (2.55%; 95% CI 1.16-3.95%). Technology addiction among adolescents was significantly associated with several risk factors at individual, family and school levels.

CONCLUSION:

Technology addiction emerges as an important public health problem among adolescents in India. An integrated socio-ecological framework with multi-level approach that targets risk factors at various levels is required to promote healthy behaviors towards technology.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Salud del Adolescente / Adicción a la Tecnología Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Humans País como asunto: Asia Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Salud del Adolescente / Adicción a la Tecnología Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Humans País como asunto: Asia Idioma: En Año: 2022 Tipo del documento: Article