Dawad Noor Adillah, Yasin Siti Munira, Darus Azlan, Jamil Ahmad Taufik, Nyi Naing Nyi
Department of Public Health Medicine, Jalan Hospital, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, MYS.
Prevention, Medical, and Rehabilitation Division, Social Security Organization, Kuala Lumpur, MYS.
Cureus. 2024 Apr 7;16(4):e57747. doi: 10.7759/cureus.57747. eCollection 2024 Apr.
The National Institute for Occupational Safety and Health (NIOSH) established the Revised NIOSH Lifting Equation (RNLE) for manual lifting risk assessment. The objectives of this study were to determine the characteristics of physical factors using the RNLE and to explore additional factors to RNLE by modifying it to an Individual Lifting Equation (ILE).
This cross-sectional study was conducted in the manufacturing industry of three states in Malaysia among manual lifting workers. A questionnaire was administered, which comprised the sociodemographic characteristics and Nordic Musculoskeletal Questionnaire (NMQ) assessing low back pain (LBP). The RNLE dataset includes a load constant and six manual lifting variables collected from observational ergonomic risk assessment. The RNLE was modified to ILE by incorporating age, gender, and BMI. The equations' Lifting Index (LI) computed provides an overall manual lifting risk estimate.
There were 165 participants, with a mean age of 28 years, and 108 (65.5%) were male. Most participants had a BMI within the normal range (60 (36.4%)) or were classified as overweight (54 (32.7%)). The lifting horizontal location showed the highest risk estimates, with the lowest mean multiplier value of 0.55. In contrast, age and BMI had the lowest risk estimates, with mean multiplier values of 0.99 and 0.98, respectively. Among the participants, LI values of one or less, indicating very low risk, were observed in 58 (35.1%) for RNLE and 39 (23.6%) for ILE. Additionally, RNLE and ILE showed figures of 11 (6.7%) and 20 (12.1%), respectively, signifying a very high risk of LI exceeding three.
Studying the lifting factors and equation multipliers from RNLE is critical for evaluating the risk estimates of manual lifting. Exploring the ILE based on individual characteristics is appropriate to support the ergonomic program. Further study is needed to validate the ILE as an accurate screening tool for determining LBP risk estimates.
美国国家职业安全与健康研究所(NIOSH)制定了修订后的NIOSH提举方程(RNLE),用于手动提举风险评估。本研究的目的是使用RNLE确定身体因素的特征,并通过将其修改为个体提举方程(ILE)来探索RNLE的其他影响因素。
这项横断面研究在马来西亚三个州的制造业中针对从事手动提举工作的工人开展。研究人员发放了一份问卷,其中包括社会人口统计学特征以及用于评估腰痛(LBP)的北欧肌肉骨骼问卷(NMQ)。RNLE数据集包括一个负荷常数和从观察性人体工程学风险评估中收集的六个手动提举变量。通过纳入年龄、性别和体重指数(BMI),将RNLE修改为ILE。计算得出的方程提举指数(LI)提供了整体手动提举风险估计值。
共有165名参与者,平均年龄为28岁,其中108名(65.5%)为男性。大多数参与者的BMI处于正常范围(60名(36.4%))或被归类为超重(54名(32.7%))。提举的水平位置显示出最高的风险估计值,平均乘数最低值为0.55。相比之下,年龄和BMI的风险估计值最低,平均乘数分别为0.99和0.98。在参与者中,RNLE有58名(35.1%)、ILE有39名(23.6%)的LI值小于或等于1,表明风险极低。此外,RNLE和ILE分别有11名(6.7%)和20名(12.1%)的LI值超过3,这意味着风险非常高。
研究RNLE中的提举因素和方程乘数对于评估手动提举的风险估计至关重要。基于个体特征探索ILE对于支持人体工程学计划是合适的。需要进一步研究以验证ILE作为确定LBP风险估计的准确筛查工具。