Meaza Habtamu, Temesgen Melaku Hailu, Redae Getachew, Hailemariam Teklehaimanot Tekle, Alamer Abayneh
School of Medicine, College of Health Sciences, Department of Physiotherapy, Mekelle University, Mekelle, Ethiopia.
School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Clin Med Insights Arthritis Musculoskelet Disord. 2020 Dec 24;13:1179544120974671. doi: 10.1177/1179544120974671. eCollection 2020.
Musculoskeletal pain is a leading cause of morbidity, low productivity. Thus; not only affecting the individual's quality of life; it also creates a burden in the health system and affects the productivity of their institution and the country at large. The prevalence of musculoskeletal pain among academic staff in developed countries ranges from 47% to 85%. However, there was a scarce of studies in developing country, particularly in the study area.
the aim of the research was to assess the burden of musculoskeletal pain and associated factors among Mekelle University academic staff.
An institutional based cross-sectional study was enrolled on 449 participants with a response rate of 92.2%. Multistage sampling technique was deployed to select representatives. Participants under the selected schools, institutes and departments were selected using random sampling method. Data was collected through face to face interview using structured and standardized Nordic questionnaire by trained data collectors at Mekelle University. Binary logistic regression was used to assess the association between dependent and independent variables. In bivariate logistic regression variables which have value of <.25 were modeled to multivariate logistic regression. Those variables with -value of <.05 with 95% CI in multivariate model were taken as statistically significant.
This study found that burden of musculoskeletal pain among Mekelle University academic staff in the previous 12 month was 65.2%, and in the last 7 days was 29%. Neck pain (41.5%) was most prevalent followed by low back pain (40.3%). Female gender (OR = 3.02, 95% CI: 1.58-5.76), Body mass index ⩾25 (OR = 3.68, 95% CI: 1.15-11.39), working hours per day (OR = 3.1, 95% CI: 1.54-6.38), and physical inactivity (OR = 3.48, 95% CI: 1.69-7.16), were the independent factors positevly associated with musculoskeletal pain.
The burden of musculoskeletal pain among Mekelle University academic staff was common. Female gender, being overweight and obese, working >5 hours per day, and being physically inactive increase the odds of experiencing musculoskeletal pains among academicians. Therefore the university authorities and all academicians are recommended that to take preventable measures of musculoskeletal pain.
肌肉骨骼疼痛是发病率高、生产力低下的主要原因。因此，它不仅影响个人生活质量，还给卫生系统带来负担，并影响其所在机构乃至整个国家的生产力。发达国家学术人员中肌肉骨骼疼痛的患病率在47%至85%之间。然而，发展中国家，特别是研究区域内的相关研究较少。
本研究旨在评估梅克内斯大学学术人员的肌肉骨骼疼痛负担及相关因素。
本研究为基于机构的横断面研究，纳入449名参与者，应答率为92.2%。采用多阶段抽样技术选取代表。通过随机抽样方法从选定的学校、研究所和部门中选取参与者。数据由梅克内斯大学经过培训的数据收集员通过面对面访谈，使用结构化和标准化的北欧问卷收集。采用二元逻辑回归评估自变量与因变量之间的关联。在双变量逻辑回归中，将p值<0.25的变量纳入多变量逻辑回归模型。多变量模型中p值<0.05且95%置信区间的变量被视为具有统计学意义。
本研究发现，梅克内斯大学学术人员在过去12个月中肌肉骨骼疼痛的负担为65.2%，在过去7天中为29%。颈部疼痛（41.5%）最为普遍，其次是下背部疼痛（40.3%）。女性（比值比=3.02，95%置信区间：1.58 - 5.76）、体重指数≥25（比值比=3.68，95%置信区间：1.15 - 11.39）、每日工作时长（比值比=3.1，95%置信区间：1.54 - 6.38）以及缺乏身体活动（比值比=3.48，95%置信区间：1.69 - 7.16）是与肌肉骨骼疼痛呈正相关的独立因素。
梅克内斯大学学术人员中肌肉骨骼疼痛负担普遍。女性、超重和肥胖、每日工作超过5小时以及缺乏身体活动会增加学术人员患肌肉骨骼疼痛的几率。因此，建议大学当局和所有学术人员采取预防肌肉骨骼疼痛的措施。
