The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Head flexion angle while using a smartphone
Abstract
Repetitive or prolonged head flexion posture while using a smartphone is known as one of risk factors for pain symptoms in the neck. To quantitatively assess the amount and range of head flexion of smartphone users, head forward flexion angle was measured from 18 participants when they were conducing three common smartphone tasks (text messaging, web browsing, video watching) while sitting and standing in a laboratory setting. It was found that participants maintained head flexion of 33-45° (50th percentile angle) from vertical when using the smartphone. The head flexion angle was significantly larger (p < 0.05) for text messaging than for the other tasks, and significantly larger while sitting than while standing. Study results suggest that text messaging, which is one of the most frequently used app categories of smartphone, could be a main contributing factor to the occurrence of neck pain of heavy smartphone users. Practitioner Summary: In this laboratory study, the severity of head flexion of smartphone users was quantitatively evaluated when conducting text messaging, web browsing and video watching while sitting and standing. Study results indicate that text messaging while sitting caused the largest head flexion than that of other task conditions.
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Ariëns, G. A. M., Bongers, P. M., Douwes, M., Miedema, M. C., Hoogendoorn, W. E., van der Wal, G., Bouter, L. M., & van Mechelen, W. (2001) · Occupational and Environmental Medicine · doi:10.1136/oem.58.3.200 · Cited by 457
Berolo, S., Wells, R. P., & Amick, B. C. (2011) · Applied Ergonomics · doi:10.1016/j.apergo.2010.08.010 · Cited by 453
Touch-screen tablet user configurations and case-supported tilt affect head and neck flexion angles
Young, J. G., Trudeau, M., Odell, D., Marinelli, K., & Dennerlein, J. T. (2012) · WORK: A Journal of Prevention, Assessment & Rehabilitation · doi:10.3233/wor-2012-1337 · Cited by 197
Turville, K. L., Psihogios, J. P., Ulmer, T. R., & Mirka, G. A. (1998) · Applied Ergonomics · doi:10.1016/s0003-6870(97)00048-3 · Cited by 163
Lau, H. M. C., Chiu, T. T. W., & Lam, T.-H. (2008) · Manual Therapy · doi:10.1016/j.math.2008.05.004 · Cited by 89
Cited by
Smartphone use and smartphone addiction among young people in Switzerland
Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.037 · Cited by 903
Sedentary behaviour and health in adults: an overview of systematic reviews
Saunders, T. J., McIsaac, T., Douillette, K., Gaulton, N., Hunter, S., Rhodes, R. E., Prince, S. A., Carson, V., Chaput, J.-P., Chastin, S., et al. (2020) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2020-0272 · Cited by 469
Toh, S. H., Coenen, P., Howie, E. K., & Straker, L. M. (2017) · PLOS ONE · doi:10.1371/journal.pone.0181220 · Cited by 143
Buctot, D. B., Kim, N., & Kim, J. J. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.104758 · Cited by 125
Media Use during Adolescence: The Recommendations of the Italian Pediatric Society
Bozzola, E., Spina, G., Ruggiero, M., Vecchio, D., Caruso, C., Bozzola, M., Staiano, A. M., Agostiniani, R., Del Vecchio, A., Banderali, G., et al. (2019) · Italian Journal of Pediatrics · doi:10.1186/s13052-019-0725-8 · Cited by 65
Metadata
- Authors
- Lee, S., Kang, H., & Shin, G.
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 2014-10-17
- Volume
- 58
- Issue
- 2
- Pages
- 220-226
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W2085531501
- Cited by
- 349
- References
- 5
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
