Prevalence of Digital Addiction and Its Impact on Sleep Patterns among Secondary School Students (Ages 14–18)

The present study examines the prevalence of digital addiction and its impact on sleep patterns among secondary school students aged 14–18 years in Chennai and Thiruvallur districts. The objectives were to assess the level of digital addiction, examine sleep patterns, and analyse the relationship between both variables. A descriptive and correlational research design was adopted. The study included a sample of 240 students selected through non-probability snowball sampling with equal gender representation. Data were collected using a self-structured questionnaire and analysed using descriptive statistics and the Chi-square test. The findings revealed that 49.2% of students had moderate digital addiction and 29.1% had high addiction levels. Regarding sleep patterns, 45.8% experienced moderate sleep issues and 27.5% reported poor sleep quality. The Chi-square analysis showed a significant association between digital addiction and sleep patterns (p < 0.05). The study concludes that higher digital addiction negatively affects sleep quality among adolescents.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20606670
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

Prevalence of Digital Addiction and Its Impact on Sleep Patterns among Secondary School Students (Ages 14–18)

K. Helen Premakumari, Nancy. P
Zenodo (CERN European Organization for Nuclear Research)
Impact of Technology on Adolescents
article

Prevalence of Digital Addiction and Its Impact on Sleep Patterns among Secondary School Students (Ages 14–18)

K. Helen Premakumari, Nancy. P
article en

Abstract

The present study examines the prevalence of digital addiction and its impact on sleep patterns among secondary school students aged 14–18 years in Chennai and Thiruvallur districts. The objectives were to assess the level of digital addiction, examine sleep patterns, and analyse the relationship between both variables. A descriptive and correlational research design was adopted. The study included a sample of 240 students selected through non-probability snowball sampling with equal gender representation. Data were collected using a self-structured questionnaire and analysed using descriptive statistics and the Chi-square test. The findings revealed that 49.2% of students had moderate digital addiction and 29.1% had high addiction levels. Regarding sleep patterns, 45.8% experienced moderate sleep issues and 27.5% reported poor sleep quality. The Chi-square analysis showed a significant association between digital addiction and sleep patterns (p < 0.05). The study concludes that higher digital addiction negatively affects sleep quality among adolescents.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 3%
Impact of Technology on Adolescents
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Prevalence of Digital Addiction and Its Impact on Sleep Patterns among Secondary School Students (Ages 14–18) — K. Helen Premakumari, Nancy. P · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS