The spinal posture of computing adolescents in a real-life setting

Yolandi Brink, Quinette Louw, Karen Grimmer, Esmè Jordaan, Yolandi Brink, Quinette Louw, Karen Grimmer, Esmè Jordaan

Abstract

Background: It is assumed that good postural alignment is associated with the less likelihood of musculoskeletal pain symptoms. Encouraging good sitting postures have not reported consequent musculoskeletal pain reduction in school-based populations, possibly due to a lack of clear understanding of good posture. Therefore this paper describes the variability of postural angles in a cohort of asymptomatic high-school students whilst working on desk-top computers in a school computer classroom and to report on the relationship between the postural angles and age, gender, height, weight and computer use.

Methods: The baseline data from a 12 month longitudinal study is reported. The study was conducted in South African school computer classrooms. 194 Grade 10 high-school students, from randomly selected high-schools, aged 15-17 years, enrolled in Computer Application Technology for the first time, asymptomatic during the preceding month, and from whom written informed consent were obtained, participated in the study. The 3D Posture Analysis Tool captured five postural angles (head flexion, neck flexion, cranio-cervical angle, trunk flexion and head lateral bend) while the students were working on desk-top computers. Height, weight and computer use were also measured. Individual and combinations of postural angles were analysed.

Results: 944 Students were screened for eligibility of which the data of 194 students are reported. Trunk flexion was the most variable angle. Increased neck flexion and the combination of increased head flexion, neck flexion and trunk flexion were significantly associated with increased weight and BMI (p = 0.0001).

Conclusions: High-school students sit with greater ranges of trunk flexion (leaning forward or reclining) when using the classroom computer. Increased weight is significantly associated with increased sagittal plane postural angles.

Figures

Figure 1
Figure 1
Schematic presentations and definitions of the five postural angles.
Figure 2
Figure 2
3D-PAT set-up in a school computer classroom.
Figure 3
Figure 3
Schematic demonstration of the marker placement.
Figure 4
Figure 4
The sample composition at baseline.

References

    1. Griegel-Morris P, Larson K, Meuller-Klaus K, Oatis CA. Incidence of common postural abnormalities in the cervical, shoulder, and thoracic regions and their association with pain in two age groups of healthy subjects. Phys Ther. 1992;72:425–431.
    1. Olsson K, Blomkvist A, Beckung E. Pressure mapping as a complement in clinical sitting analysis in children during activity. Adv Physiother. 2008;10:76–84.
    1. Barrero M, Hedge A. Computer environment for children: a review of design issues. Work. 2002;18:227–237.
    1. Geldhof E, Cardon G, De Bourdeaudhuij I, Daneels L, Coorevits P, Vanderstraeten G, De Clerq D. Effects of back posture education on elementary schoolchildren’s back function. Eur Spine J. 2007;16:829–839.
    1. Falla D, Jull G, Russell T, Vincenzino B, Hodges P. Effect of neck exercises on sitting posture in patients with chronic neck pain. Phys Ther. 2007;87:408–417.
    1. Geldhof E, De Clercq D, De Bourdeaudhuij I, Cardon G. Classroom postures of 8–12 year old children. Ergonomics. 2007;50:1571–1581.
    1. Caneiro JP, O’Sullivan P, Burnett A, Barach A, O’Neil D, Tveit O, Olafsdottir K. The influence of different sitting postures on head/neck posture and muscle activity. Man Ther. 2010;15:54–60.
    1. O’Sullivan PB, Grahamshaw KM, Kendell M, Lapenskie SC, Moller NE, Richards KV. The effect of different standing and sitting postures on trunk muscle activity in a pain fee population. Spine. 2002;27:1238–1244.
    1. Busscher I, Gerver WJM, Kingma I, Wapstra FH, Verkerke GJ, Veldhuizen AG. The growth of different body length dimensions is not predictive for the peak growth velocity of sitting height in the individual. Eur Spine J. 2011;20:791–797.
    1. Howell FR, Mahood JK, Dickson RA. Growth beyond skeletal maturity. Spine. 1992;17:437–440.
    1. Grimmer K, Williams M. Gender-age environmental associates of adolescent low back pain. Appl Ergon. 2000;31:343–360.
    1. Curriculum development: WCED. [ ]
    1. Ramos EMA, James CA, Bear-Lehman J. Children’s computer usage: are they at risk of developing repetitive strain injury? Work. 2005;25:143–154.
    1. Hakala PT, Saarni LA, Ketola RL, Rahkola ET, Salminen JJ, Rimpela AH. Computer-associated health complaints and sources of ergonomics instructions in computer-related issues among Finnish adolescents: a cross-sectional study. BMC Public Health. 2010;10:41.
    1. Syazwan AL, Azhar MNM, Anita AR, Azizan HS, Shaharuddin MS, Hanafiah JM, Muhaimin AA, Nizar AM, Rafee BM, Ibthisham AM, Kasani A. Poor sitting posture and a heavy schoolbag as contributors to musculoskeletal pain in children: an ergonomic school education intervention program. J Pain Res. 2011;4:287–296.
    1. Brink Y, Crous LC, Louw QA, Grimmer-Somers K, Schreve K. The association between postural alignment and psychosocial factors to upper quadrant pain in high school students: a prospective study. Man Ther. 2009;14:647–653.
    1. Smith L. Computer-Related Musculoskeletal Dysfunction Among Adolescent School Learners in the Cape Metropolitan Region. Stellenbosch University, Physiotherapy Department; 2007. (M Thesis). .
    1. Donatelli RA. Physical Therapy of the Shoulder (Clinics in Physical Therapy) 5. St Louis, Missouri: Churchill and Livingstone; 2012.
    1. Cho CY, Hwang IS, Chen CC. The association between psychosocial distress and musculoskeletal symptoms experienced by Chinese high school students. J Orthop Sports Phys Ther. 2003;33:344–353.
    1. Hintze J. PASS 11. Kaysville, Utah, USA: NCSS, LLC; 2011. .
    1. Carlin JB, Doyle LW. Statistics for clinicians, 7: sample size. J Paediatr Child Health. 2003;38:300–304.
    1. Schulz KF, Grimes DA. Epidemiology 1: sample size calculations in randomized trials: mandatory and mystical. Lancet. 2005;356:1348–1353.
    1. Brink Y, Louw Q, Grimmer K, Schreve K, Van der Westhuizen G, Jordaan E. Development of a cost-effective three-dimensional posture analysis tool: validity and reliability. BMC Musculoskelet Disord. 2013;14:335.
    1. Szeto GPY, Straker L, Raine S. A field comparison of neck and shoulder postures in symptomatic and asymptomatic office workers. Appl Ergon. 2002;33:75–84.
    1. Briggs A, Straker L, Grieg A. Upper quadrant postural changes of school children in response to interaction with different information technologies. Ergonomics. 2004;47:790–819.
    1. Straker L, Briggs A, Greig A. The effect of individually adjusted workstations on upper quadrant posture and muscle activity in school children. Work. 2002;18:239–248.
    1. Gillman MW, Rifas-Shiman SL, Camargo CA, Berkey CS, Frazier AL, Rockett HR, Field AE, Colditz GA. Risk of overweight among adolescents who were breastfed as infants. JAMA. 2001;16:2461–2467.
    1. Burgess-Limerick R, Mon-Williams M, Coppard VL. Visual display height. Hum Factors. 2000;41:140–150.
    1. Van Niekerk SM, Louw QA, Grimmer-Somers K, Harvey J, Hendry KJ. The anthropometric match between high school learners of the Cape Metropole area, Western Cape, South Africa and their computer workstation at school. Appl Ergon. 2013;44:366–371.
    1. King AC, Challis JH, Bartok C, Costigan FA, Newell KM. Obesity, mechanical and strength relationship topostural control in adolescence. Gait Posture. 2012;35:261–265.
    1. Colne P, Frelut ML, Peres G, Thoumie P. Postural control on obese adolescents assessed by limits of stability and gait initiation. Gait Posture. 2008;28:164–169.
    1. Cruz Gomez NS, Plascencia G, Villanueva-Padron LA, Jauregui-Renaud K. Influence of obesity and gender on the postural stability during upright stance. Obes Facts. 2011;4:212–217.
    1. Hansen MD, Chen MA. Socioeconomic status, race, and body mass index: the mediating role of physical activity and sedentary behaviors during adolescence. J Pediatr Psychol. 2007;32:250–259.
    1. Straker LM, O’Sullivan PB, Smith A, Perry M. Computer use and habitual spinal posture in Australian adolescents. Public Health Rep. 2007;122:634–643.
    1. Straker L, Maslen B, Burgess-Limerick R, Pollock C. Children have less variable postures and muscle activities when using new electronic information technology compared with old paper-based information technology. J Electromyogr Kinesiol. 2009;19:e132–e143.
    1. O’Sullivan P, Beales D, Jensen L, Murray K, Myers T. Characteristics of chronic non-specific musculoskeletal pain in children and adolescents attending a rheumatology outpatients clinic: a cross-sectional study. Pediatric Rheumatol Online J. 2011;9:3.
    1. Straker LM, O’Sullivan P, Smith AJ, Perry MC. Relationship between prolonged neck/shoulder pain and sitting spinal posture in male and female adolescents. Man Ther. 2009;14:321–329.
    1. Straker LM, O’Sullivan PB, Smith AJ, Perry MC, Coleman J. Sitting spinal posture in adolescents differs between genders, but is not clearly related to neck/shoulder pain: an observational study. Aust J Physiother. 2008;54:127–133.
    1. Astfalck RG, O’Sullivan P, Straker LM, Smith AJ, Burnett A, Caneiro JP. Sitting postures and trunk muscle activity in adolescents with and without nonspecific chronic low back pain. Spine. 2010;35:1387–1395.
    1. Straker LM, Smith AJ, Bear N, O’Sullivan PB, De Klerk NH. Neck/shoulder pain, habitual spinal posture and computer use in adolescents: the importance of gender. Ergonomics. 2011;54:539–546.

Source: PubMed

3
Suscribir