A Quantitative Study of Smartphone Addiction and Procrastination among Young Adults (18-34 Years)

This study examined the association between smartphone addiction and procrastination among 101 young adults aged 18-34 years, using a quantitative, cross-sectional, correlational design and an online survey (September-October 2026). Two researcher-adapted ten-item scales showed excellent reliability (α = .94 and .93). Smartphone addiction was strongly and positively correlated with procrastination, r(99) = .824, p < .001, and explained 67.9% of its variance. It remained the only significant predictor after controlling for age group, gender and daily usage hours (β = .90), and the relationship was not moderated by these variables. Scores were higher among women, older respondents, heavier users and entertainment- or social-media-oriented users, although age and gender were partly confounded in the sample. The cross-sectional design and researcher-adapted scales limit causal and population-level conclusions.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2026-10-30
DOI
https://doi.org/10.21275/sr261028232603
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

A Quantitative Study of Smartphone Addiction and Procrastination among Young Adults (18-34 Years)

Shareefa Poozhithara
3 links
International Journal of Science and Research (IJSR)
Impact of Technology on Adolescents
article

A Quantitative Study of Smartphone Addiction and Procrastination among Young Adults (18-34 Years)

Shareefa Poozhithara
article en

Abstract

This study examined the association between smartphone addiction and procrastination among 101 young adults aged 18-34 years, using a quantitative, cross-sectional, correlational design and an online survey (September-October 2026). Two researcher-adapted ten-item scales showed excellent reliability (α = .94 and .93). Smartphone addiction was strongly and positively correlated with procrastination, r(99) = .824, p < .001, and explained 67.9% of its variance. It remained the only significant predictor after controlling for age group, gender and daily usage hours (β = .90), and the relationship was not moderated by these variables. Scores were higher among women, older respondents, heavier users and entertainment- or social-media-oriented users, although age and gender were partly confounded in the sample. The cross-sectional design and researcher-adapted scales limit causal and population-level conclusions.

International Journal of Science and Research (IJSR)
Jain University (IN)
Good health and well-being
Openalex Percentile: Top 6%
Impact of Technology on Adolescents
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