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Indian J Psychiatry. 2019 May-Jun;61(3):265-269. doi: 10.4103/psychiatry.IndianJPsychiatry_412_18.

Internet addiction and daytime sleepiness among professionals in India: A web-based survey.

Author information

1
Department of Psychiatry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
2
Department of Psychiatry, Hi Tech Medical College and Hospital, Bhubaneshwar, Odisha, India.
3
Department of Psychiatry, Pt. J.N.M Medical College, Raipur, Chhattisgarh, India.
4
Department of Psychiatry, Amity University, Ranchi, Jharkhand, India.
5
Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand, India.

Abstract

Background:

The likelihood of the relation between Internet overuse and comorbid psychiatric conditions is on the rise. However, sleep disturbances are common psychiatric symptoms associated with internet overuse. Our objective was to examine the association of Internet overuse with excessive daytime sleepiness, sleep problems in professionals from India.

Materials and Methods:

This was a web-based cross-sectional study through a predesigned questionnaire which included various professional groups. The information included in the questionnaire was sociodemographic details, Young's internet addiction test (IAT) and Epworth sleepiness scale (ESS).

Results:

About 1.0% of total sample population had severe internet addiction whereas 13% were in the range of moderate internet addiction and the mean score on IAT was found to be 32 (standard deviation [SD] = 16.42). The mean duration of total night time sleep (5.61 ± 1.17) is significantly lower in participants with moderate and severe internet addiction (6.98 ± 1.12) compared to those with no and mild internet addiction. The mean scores of ESS were significantly higher in individuals with moderate and severe addiction (M = 10.64, SD = 4.79). We found that sleepiness while in 5 of the situations such as driving a car (χ2 = 27.67; P < 0.001), sitting and reading (χ2 = 13.6; P = 0.004), traveling in a car (χ2 = 15.09; P = 0.002), afternoon rest time (χ2 = 15.75; P = 0.001), and postlunch quiet time (χ2 = 24.09; P < 0.001), predicted membership to moderate-to-severe internet addiction, even after controlling for the confounding effects of age and gender.

Conclusions:

This study shows an association between Internet overuse, excessive daytime sleepiness, and other sleep problems. Clinicians should be proactive and conscious in scrutinizing the patients for internet addiction and its consequences.

KEYWORDS:

Addiction; internet; sleep

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