Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study

Background: Smartphone use and addiction among adolescents is an emerging public health concern. This study aimed to assess smartphone use, addiction, patterns of use, and associated factors among adolescents. Methods: An institutional-based mixed-method study was conducted among 560 adolescents age...

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Main Authors: Hemangi M. Ladani, M Yogesh, Nidhi S. Trivedi, Rohankumar B. Gandhi, Dhruv Lakkad
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-01-01
Series:Journal of Family Medicine and Primary Care
Subjects:
Online Access:https://journals.lww.com/10.4103/jfmpc.jfmpc_1308_24
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author Hemangi M. Ladani
M Yogesh
Nidhi S. Trivedi
Rohankumar B. Gandhi
Dhruv Lakkad
author_facet Hemangi M. Ladani
M Yogesh
Nidhi S. Trivedi
Rohankumar B. Gandhi
Dhruv Lakkad
author_sort Hemangi M. Ladani
collection DOAJ
description Background: Smartphone use and addiction among adolescents is an emerging public health concern. This study aimed to assess smartphone use, addiction, patterns of use, and associated factors among adolescents. Methods: An institutional-based mixed-method study was conducted among 560 adolescents aged 15–19 years. Data were collected on smartphone use, and addiction assessed by a Short Version of the Smartphone Addiction Scale (SAS-SV), patterns of use, and correlations with demographic factors, physical health, and psychological symptoms. Statistical analysis included percentages, logistic regression, and tests of significance. A P value of < 0.05 is considered significant. Results: Smartphone use prevalence was 89.8% [95% CI (87.09%–92.49%)], and addiction prevalence was 64% [95% CI (62.66%–72.34%)] among users. Factors associated with smartphone use are statistically significant based on adjusted odds ratios (AOR), which were urban residence [2.5 (1.8–3.8)], use of handsfree kit [2.04 (1.56–2.95)], illiterate father’s education [2.7 (1.9–7.8)], illiterate [2.38 (1.98–5.7)], primary/secondary educated [2.15 (1.06–4.3)] mother’s education, and addiction [3.2 (1.7–4.3)]. Addicted users showed higher use for gaming, videos, and social media (P < 0.05). No significant physical or psychological health differences were found between addicted and non-addicted groups. Conclusions: Smartphone addiction (SA) was highly prevalent among adolescents. Use patterns, such as gaming and social media, as well as perceptions of harm, were implicated in addiction risk. Tailored interventions are required to address this emerging public health problem among adolescents.
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spelling doaj-art-44c5bbeacb8144a7902671c0b278c1d02025-02-11T13:54:57ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632278-71352025-01-0114133434010.4103/jfmpc.jfmpc_1308_24Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method studyHemangi M. LadaniM YogeshNidhi S. TrivediRohankumar B. GandhiDhruv LakkadBackground: Smartphone use and addiction among adolescents is an emerging public health concern. This study aimed to assess smartphone use, addiction, patterns of use, and associated factors among adolescents. Methods: An institutional-based mixed-method study was conducted among 560 adolescents aged 15–19 years. Data were collected on smartphone use, and addiction assessed by a Short Version of the Smartphone Addiction Scale (SAS-SV), patterns of use, and correlations with demographic factors, physical health, and psychological symptoms. Statistical analysis included percentages, logistic regression, and tests of significance. A P value of < 0.05 is considered significant. Results: Smartphone use prevalence was 89.8% [95% CI (87.09%–92.49%)], and addiction prevalence was 64% [95% CI (62.66%–72.34%)] among users. Factors associated with smartphone use are statistically significant based on adjusted odds ratios (AOR), which were urban residence [2.5 (1.8–3.8)], use of handsfree kit [2.04 (1.56–2.95)], illiterate father’s education [2.7 (1.9–7.8)], illiterate [2.38 (1.98–5.7)], primary/secondary educated [2.15 (1.06–4.3)] mother’s education, and addiction [3.2 (1.7–4.3)]. Addicted users showed higher use for gaming, videos, and social media (P < 0.05). No significant physical or psychological health differences were found between addicted and non-addicted groups. Conclusions: Smartphone addiction (SA) was highly prevalent among adolescents. Use patterns, such as gaming and social media, as well as perceptions of harm, were implicated in addiction risk. Tailored interventions are required to address this emerging public health problem among adolescents.https://journals.lww.com/10.4103/jfmpc.jfmpc_1308_24academic performanceadolescent healthdigital behaviorscreen timesmartphone addictionsocial media use
spellingShingle Hemangi M. Ladani
M Yogesh
Nidhi S. Trivedi
Rohankumar B. Gandhi
Dhruv Lakkad
Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
Journal of Family Medicine and Primary Care
academic performance
adolescent health
digital behavior
screen time
smartphone addiction
social media use
title Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
title_full Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
title_fullStr Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
title_full_unstemmed Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
title_short Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study
title_sort exploring smartphone utilization patterns addiction and associated factors in school going adolescents a mixed method study
topic academic performance
adolescent health
digital behavior
screen time
smartphone addiction
social media use
url https://journals.lww.com/10.4103/jfmpc.jfmpc_1308_24
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