Jeffree Mohammad Saffree, Abdul Rahim Ahmad Asyraf, Daud Dayang Maryama Ag, Pang Nicholas, Sazali Mohd Fazeli, Sudi Suhaini, Liau Shye Nee, Wong Eileen Ei Ling, Peter Hanif Fikri, Amat Siti Zuraina Ain, Chok Stephanie, Abdelhafez Mohsen M A, Lukman Khamisah Awang, Saad Ismail, Hassan Mohd Rohaizat, Noordin Raman
Department of Public Health Medicine, Faculty of Medicine and Health Sciences, University Malaysia Sabah, 88400, Kota Kinabalu, Sabah, Malaysia.
HEAL Research Unit, Faculty of Medicine and Health Sciences, University Malaysia Sabah, 88400, Kota Kinabalu, Sabah, Malaysia.
Heliyon. 2024 May 14;10(10):e30873. doi: 10.1016/j.heliyon.2024.e30873. eCollection 2024 May 30.
Special education teachers encounter considerable occupational challenges, yet there is limited information concerning musculoskeletal disorders (MSD) within this group. Therefore, this study aimed to address this gap by determining the prevalence of MSD, investigating associated factors of MSD, and identifying predictors of MSD among special education teachers. A cross-sectional study was conducted among special education teachers in Kota Kinabalu and Penampang, Sabah. Data were collected through self-administered questionnaires and musculoskeletal fitness assessments. Chi-square tests and independent t-tests were utilized to determine factors associated with MSD, while multiple logistic regression was performed to develop a comprehensive predictive model for MSD, which was then validated and tested for model fitness. A total of 122 individuals participated in the study, yielding a response rate of 95 %. The findings revealed a high prevalence of MSD (77.9 %) among special education teachers, with the lower back, shoulder, neck, knee, upper back, and foot being the most affected regions. The multivariable regression model identified several predictors of MSD, including marital status (adjusted odds ratio [aOR] = 4.78, 95 % confidence interval [CI] = 1.49-15.40), body fat percentage (aOR = 1.06, 95 % CI = 1.00-1.12), teaching in prolonged standing for few days a week (aOR = 3.20, 95 % CI = 0.99-10.29) or every day (aOR = 6.20, 95 % CI = 1.44-26.70), mindfulness (aOR = 0.47, 95 % CI = 0.22-0.98), and back extensor strength (aOR = 5.86, 95 % CI = 1.92-17.92). This study highlights the necessity of implementing interventions focusing on the ergonomic, psychological, and musculoskeletal fitness components to mitigate the prevalence of MSD and improve the overall well-being of special education teachers.
特殊教育教师面临着相当大的职业挑战,但关于该群体中肌肉骨骼疾病(MSD)的信息有限。因此,本研究旨在通过确定MSD的患病率、调查MSD的相关因素以及识别特殊教育教师中MSD的预测因素来填补这一空白。在沙巴州哥打基纳巴卢和必南邦的特殊教育教师中进行了一项横断面研究。通过自填问卷和肌肉骨骼健康评估收集数据。采用卡方检验和独立t检验来确定与MSD相关的因素,同时进行多元逻辑回归以建立MSD的综合预测模型,然后对该模型进行验证和模型拟合检验。共有122人参与了该研究,回复率为95%。研究结果显示,特殊教育教师中MSD的患病率很高(77.9%),下背部、肩部、颈部、膝盖、上背部和足部是受影响最严重的部位。多变量回归模型确定了MSD的几个预测因素,包括婚姻状况(调整后的优势比[aOR]=4.78,95%置信区间[CI]=1.49 - 15.40)、体脂百分比(aOR = 1.06,95% CI = 1.00 - 1.12)、一周中几天或每天长时间站立教学(一周中几天站立教学:aOR = 3.20,95% CI = 0.99 - 10.29;每天站立教学:aOR = 6.20,95% CI = 1.44 - 26.70)、正念(aOR = 0.47,95% CI = 0.22 - 0.98)和背部伸肌力量(aOR = 5.86,95% CI = 1.92 - 17.92)。本研究强调了实施侧重于人体工程学、心理和肌肉骨骼健康成分的干预措施以降低MSD患病率并改善特殊教育教师整体健康状况的必要性。