The relationship between trunk position, fatigue, insomnia, and smartphone addiction in adolescent females: a cross-sectional study

Background and purpose It is common for adolescents to experience insomnia disorder, especially older adolescents and girls. Its prevalence is similar to other major psychiatric disorders like depressive disorders. This study investigated the relationship between trunk position sense, smartphone addiction, fatigue severity, and adolescent insomnia. Material and methods A correlational study design was used. One hundred female adolescents participated in this study. They ranged in age from 17-18 years, their body mass index ranged from 16.4 to 24.8kg/m2, and their addiction score ranged from 33 to 60 on the smartphone addiction scale short version. Participants were excluded from the study if they had hearing and visual impairments, congenital disabilities, and musculoskeletal abnormalities. All students underwent assessments for trunk position sense, fatigue severity, and insomnia. The baseline digital inclinometer, fatigue severity scale, and insomnia severity index were used. Results The participants' scores on the Smartphone Addiction Scale (short version), Lumbar Flexion Joint Position Error, Fatigue Severity Scale, and Insomnia Severity Index were 43.38 ± 6.77, 5.84 ± 3.89, 4.47 ± 1.11, and 15.33 ± 5.08, respectively. The Smartphone Addiction Scale (short version) and Lumbar Flexion Joint Position Error showed a significant positive correlation, with r=0.374; p > 0.001. Additionally, a positive and highly significant correlation existed between the Smartphone Addiction Scale (short version) and the Fatigue Severity Scale, with r= 0.387; p > 0.001. However, the relationship between the Smartphone Addiction Scale (short version) and Insomnia Severity Index was weakly positive and significant, with r=0.217; p > 0.03. Conclusion Smartphone addiction could negatively affect trunk position sense, regular sleep, and level of fatigue.

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Publication Details

Journal
Health sport rehabilitation
Published
2025-06-18
DOI
https://doi.org/10.58962/hsr.2025.11.2.72-81
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

The relationship between trunk position, fatigue, insomnia, and smartphone addiction in adolescent females: a cross-sectional study

Islam Elbayoumi Salem, Walaa Abd-hakim Abd-El-Nabie, Shikur Mohammed
Health sport rehabilitation
Impact of Technology on Adolescents
article

The relationship between trunk position, fatigue, insomnia, and smartphone addiction in adolescent females: a cross-sectional study

Islam Elbayoumi Salem, Walaa Abd-hakim Abd-El-Nabie, Shikur Mohammed
article en

Abstract

Background and purpose It is common for adolescents to experience insomnia disorder, especially older adolescents and girls. Its prevalence is similar to other major psychiatric disorders like depressive disorders. This study investigated the relationship between trunk position sense, smartphone addiction, fatigue severity, and adolescent insomnia. Material and methods A correlational study design was used. One hundred female adolescents participated in this study. They ranged in age from 17-18 years, their body mass index ranged from 16.4 to 24.8kg/m2, and their addiction score ranged from 33 to 60 on the smartphone addiction scale short version. Participants were excluded from the study if they had hearing and visual impairments, congenital disabilities, and musculoskeletal abnormalities. All students underwent assessments for trunk position sense, fatigue severity, and insomnia. The baseline digital inclinometer, fatigue severity scale, and insomnia severity index were used. Results The participants' scores on the Smartphone Addiction Scale (short version), Lumbar Flexion Joint Position Error, Fatigue Severity Scale, and Insomnia Severity Index were 43.38 ± 6.77, 5.84 ± 3.89, 4.47 ± 1.11, and 15.33 ± 5.08, respectively. The Smartphone Addiction Scale (short version) and Lumbar Flexion Joint Position Error showed a significant positive correlation, with r=0.374; p > 0.001. Additionally, a positive and highly significant correlation existed between the Smartphone Addiction Scale (short version) and the Fatigue Severity Scale, with r= 0.387; p > 0.001. However, the relationship between the Smartphone Addiction Scale (short version) and Insomnia Severity Index was weakly positive and significant, with r=0.217; p > 0.03. Conclusion Smartphone addiction could negatively affect trunk position sense, regular sleep, and level of fatigue.

Health sport rehabilitationVol. 11(2)
Cairo University (EG), October 6 University (EG)
Openalex Percentile: Top 78%
Impact of Technology on Adolescents
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