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SHORT COMMUNICATION
Year : 2022  |  Volume : 31  |  Issue : 2  |  Page : 359-363

Affective symptoms as a predictor of internet addiction among young adults


1 Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Institute of National Importance (INI), Bengaluru, Karnataka, India
2 Department of Biostatistics, National Institute of Mental Health and Neuro Sciences (NIMHANS), Institute of National Importance (INI), Bengaluru, Karnataka, India
3 Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Institute of National Importance (INI), Bengaluru, Karnataka, India

Correspondence Address:
Dr. Manoj K Sharma
SHUT Clinic (Service for Healthy Use of Technology), NIMHANS Centre for Well Being, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ipj.ipj_175_21

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Objectives: Mental health difficulties have been found to be associated with internet addiction, which makes it a multifaceted problem. The current study aimed to examine the relationship between internet addiction and affective states (depression, anxiety, and stress). Material and Methods: The study sample consisted of 731 individuals (403 males and 328 females) ranging in age from 18 to 25 years. We used an observational survey design to study participants with an internet addiction test and depression, anxiety, and stress scale. Results: The mean age ± standard deviation of the sample was 22.58 ± 2.80 years. Stress and depression were found to play a major role in internet addiction in the regression analysis. Conclusions: The study supports the association between internet use and stress and depression. The findings imply the need for early identification and intervention of affective states in the context of unhealthy internet use.


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