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Association Between Smartphone Use and Musculoskeletal Discomfort in Adolescent Students

Overview of attention for article published in Journal of Community Health, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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1 blog
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Citations

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284 Mendeley
Title
Association Between Smartphone Use and Musculoskeletal Discomfort in Adolescent Students
Published in
Journal of Community Health, October 2016
DOI 10.1007/s10900-016-0271-x
Pubmed ID
Authors

Shang-Yu Yang, Ming-De Chen, Yueh-Chu Huang, Chung-Ying Lin, Jer-Hao Chang

Abstract

Despite the substantial increase in the number of adolescent smartphone users, few studies have investigated the behavioural effects of smartphone use on adolescent students as it relates to musculoskeletal discomfort. The purpose of this study was to explore the association between smartphone use and musculoskeletal discomfort in students at a Taiwanese junior college. We hypothesised that the duration of smartphone use would be associated with increased instances of musculoskeletal discomfort in these students. This cross-sectional study employed a convenience sampling method to recruit students from a junior college in southern Taiwan. All the students (n = 315) were asked to answer questionnaires on smartphone use. A descriptive analysis, stepwise regression, and logistic regression were used to examine specific components of smartphone use and their relationship to musculoskeletal discomfort. Nearly half of the participants experienced neck and shoulder discomfort. The stepwise regression results indicated that the number of body parts with discomfort (F = 6.009, p < 0.05) increased with hours spent using ancillary smartphone functions. The logistic regression analysis showed that the students who talked on the phone >3 h/day had a higher risk of upper back discomfort than did those who talked on the phone <1 h/day [odds ratio (OR) = 4.23, p < 0.05]. This study revealed that the relationship between smartphone use and musculoskeletal discomfort is related to the duration of smartphone ancillary function use. Moreover, hours spent talking on the phone was a predictor of upper back discomfort.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 284 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 18%
Lecturer 34 12%
Student > Master 26 9%
Other 13 5%
Student > Postgraduate 9 3%
Other 34 12%
Unknown 117 41%
Readers by discipline Count As %
Nursing and Health Professions 66 23%
Medicine and Dentistry 50 18%
Psychology 9 3%
Social Sciences 5 2%
Arts and Humanities 5 2%
Other 25 9%
Unknown 124 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 December 2023.
All research outputs
#4,506,559
of 24,958,301 outputs
Outputs from Journal of Community Health
#266
of 1,325 outputs
Outputs of similar age
#69,214
of 326,628 outputs
Outputs of similar age from Journal of Community Health
#9
of 29 outputs
Altmetric has tracked 24,958,301 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.