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Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction

BACKGROUND: Frequent smartphone use in a pathological way forces the user to adopt a compromised posture. This gradually results in changes to both the postural and musculoskeletal systems. This study’s objectives were evaluation of head posture, muscle endurance, neck range of motion (ROM) and join...

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Autores principales: Torkamani, Maryam Heidary, Mokhtarinia, Hamid Reza, Vahedi, Mohsen, Gabel, Charles Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869316/
https://www.ncbi.nlm.nih.gov/pubmed/36690958
http://dx.doi.org/10.1186/s12891-023-06168-5
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author Torkamani, Maryam Heidary
Mokhtarinia, Hamid Reza
Vahedi, Mohsen
Gabel, Charles Philip
author_facet Torkamani, Maryam Heidary
Mokhtarinia, Hamid Reza
Vahedi, Mohsen
Gabel, Charles Philip
author_sort Torkamani, Maryam Heidary
collection PubMed
description BACKGROUND: Frequent smartphone use in a pathological way forces the user to adopt a compromised posture. This gradually results in changes to both the postural and musculoskeletal systems. This study’s objectives were evaluation of head posture, muscle endurance, neck range of motion (ROM) and joint position sense in two separate smartphone user groups, one ‘Addicted’, the other ‘Non-Addicted’. METHODS: A sample of convenience (n = 60) was recruited from medical students (age 24.57 ± 4.38, 53.3% male) with a history of smartphones use > 2 h/day for 1-year. Based on the cut-off values of the smartphone addiction scale-short version (SAS-SV), participants were entered into each group (cut-off for male ≥ 31, female ≥ 33). Neck muscle endurance time, joint position error and cervical ROM, along with forward head posture parameters of craniovertebral angle (CVA), shoulder angle (SA), sagittal head angle (SHA) and forward head distance (FHD)) were evaluated. A Mann–Whitney test and Spearman correlation coefficient were used to determine the difference between groups and the correlations between variables. RESULTS: The difference between ‘Addicted’ and ‘Non-Addicted’ groups was confirmed by the values for SAS-SV scores (25.23 ± 5.5 versus 43.9 ± 6.61) (p < 0.001). There were statistically significant differences between groups for the CVA and FHD parameters (p < 0.001). Further, the neck extensor muscle endurance (97 ± 3.79 versus 74.86 ± 2.23 s), was significantly different between groups (p = 0.010) but not after Bonferroni correction. There was no notable difference in the neck flexor muscle endurance, joint position error, SA, and SHA parameters between groups (p > 0.05). CONCLUSIONS: There is a positive correlation between smartphone addiction and both decreased extensor muscle endurance and changes in neck postural alignment.
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spelling pubmed-98693162023-01-23 Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction Torkamani, Maryam Heidary Mokhtarinia, Hamid Reza Vahedi, Mohsen Gabel, Charles Philip BMC Musculoskelet Disord Research BACKGROUND: Frequent smartphone use in a pathological way forces the user to adopt a compromised posture. This gradually results in changes to both the postural and musculoskeletal systems. This study’s objectives were evaluation of head posture, muscle endurance, neck range of motion (ROM) and joint position sense in two separate smartphone user groups, one ‘Addicted’, the other ‘Non-Addicted’. METHODS: A sample of convenience (n = 60) was recruited from medical students (age 24.57 ± 4.38, 53.3% male) with a history of smartphones use > 2 h/day for 1-year. Based on the cut-off values of the smartphone addiction scale-short version (SAS-SV), participants were entered into each group (cut-off for male ≥ 31, female ≥ 33). Neck muscle endurance time, joint position error and cervical ROM, along with forward head posture parameters of craniovertebral angle (CVA), shoulder angle (SA), sagittal head angle (SHA) and forward head distance (FHD)) were evaluated. A Mann–Whitney test and Spearman correlation coefficient were used to determine the difference between groups and the correlations between variables. RESULTS: The difference between ‘Addicted’ and ‘Non-Addicted’ groups was confirmed by the values for SAS-SV scores (25.23 ± 5.5 versus 43.9 ± 6.61) (p < 0.001). There were statistically significant differences between groups for the CVA and FHD parameters (p < 0.001). Further, the neck extensor muscle endurance (97 ± 3.79 versus 74.86 ± 2.23 s), was significantly different between groups (p = 0.010) but not after Bonferroni correction. There was no notable difference in the neck flexor muscle endurance, joint position error, SA, and SHA parameters between groups (p > 0.05). CONCLUSIONS: There is a positive correlation between smartphone addiction and both decreased extensor muscle endurance and changes in neck postural alignment. BioMed Central 2023-01-23 /pmc/articles/PMC9869316/ /pubmed/36690958 http://dx.doi.org/10.1186/s12891-023-06168-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Torkamani, Maryam Heidary
Mokhtarinia, Hamid Reza
Vahedi, Mohsen
Gabel, Charles Philip
Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title_full Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title_fullStr Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title_full_unstemmed Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title_short Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
title_sort relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869316/
https://www.ncbi.nlm.nih.gov/pubmed/36690958
http://dx.doi.org/10.1186/s12891-023-06168-5
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