Silva Ozeas Ferreira da, da Silva Jonhatan Magno Norte, Silva Lara Karine Dias, Lima Tânia Daniela Felgueiras Miranda, Bornia Antonio Cezar, Souza Larissa Ane Hora de, Leite Wilza Karla Dos Santos, Vieira Elamara Marama de Araujo
Federal University of Alagoas, Alagoas, Brazil.
Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Ergonomics. 2022 Nov;65(11):1486-1508. doi: 10.1080/00140139.2022.2088854. Epub 2022 Jun 23.
Owing to biological and social factors, illness-related musculoskeletal symptoms tend to vary between men and women. However, in the past, conceptualised discomfort metrics were applied uniformly to both genders. This study aimed to develop a scale to measure musculoskeletal discomfort that compares the symptoms between men and women. The scale aimed to determine the gender-based response patterns related to symptoms. A total of 707 men and 1302 women reported their symptoms on a body map. Factor analysis and item response theory were used to differentiate the identified symptoms in the construction of a musculoskeletal discomfort scale. Differences in work exposure appeared to explain the symptom patterns between men and women. The scale had eight levels, and it was found that at the same level of discomfort, men and women reported symptoms in different body regions. On this discomfort scale, the response patterns of men and women were categorised into eight levels. Symptoms differed by gender at the same musculoskeletal discomfort level. This is in contrast to previous studies in which scales were devised without considering differences between the genders.: WMSDs: work-related musculoskeletal disorders; BMI: body mass index; FA: factor analysis; IRT: item response theory; KMO: Kaiser-Meyer-Olkin; BST: Bartlett's test of sphericity; F: factor loading; h2: communality; α: Cronbach's alpha; ωt: McDonald's omega; ai: parameters of discrimination of the items; bik: parameters of difficulty of response categories; θj: latent trait; RMSEA: root mean square error of approximation; CFI: comparative fit index; TLI: Tucker-Lewis index; odu: musculoskeletal discomfort units; RA: rarely; OF: often; AL: always.
由于生物和社会因素,与疾病相关的肌肉骨骼症状在男性和女性之间往往存在差异。然而,过去将概念化的不适指标统一应用于男女两性。本研究旨在开发一种量表,以测量肌肉骨骼不适,并比较男性和女性之间的症状。该量表旨在确定与症状相关的基于性别的反应模式。共有707名男性和1302名女性在身体图谱上报告了他们的症状。在构建肌肉骨骼不适量表时,使用了因子分析和项目反应理论来区分所识别的症状。工作暴露的差异似乎可以解释男性和女性之间的症状模式。该量表有八个级别,发现在相同的不适水平下,男性和女性在不同的身体区域报告症状。在这个不适量表上,男性和女性的反应模式被分为八个级别。在相同的肌肉骨骼不适水平下,症状因性别而异。这与以往未考虑性别差异而设计量表的研究形成对比。:WMSDs:工作相关肌肉骨骼疾病;BMI:体重指数;FA:因子分析;IRT:项目反应理论;KMO:Kaiser-Meyer-Olkin;BST:Bartlett球形检验;F:因子载荷;h2:共同度;α:Cronbach's alpha;ωt:McDonald's omega;ai:项目区分参数;bik:反应类别难度参数;θj:潜在特质;RMSEA:近似均方根误差;CFI:比较拟合指数;TLI:Tucker-Lewis指数;odu:肌肉骨骼不适单位;RA:很少;OF:经常;AL:总是。