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Determinantes do declínio da força muscular na indústria automóvel
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A investigação foi realizada numa empresa automóvel com o objetivo de identificar os fatores determinantes que contribuem para o declínio da força muscular neste sector. Foi utilizado um desenho de estudo observacional transversal, envolvendo uma amostra de 352 trabalhadores, que foram avaliados durante 16 semanas. Esta amostra foi subdividida em seis grupos etários, com idades compreendidas entre os 18 e os 58 anos, estratificados por sexo. Para a realização do estudo foram utilizados diversos instrumentos, métodos, materiais e procedimentos. A força de preensão manual foi avaliada com um dinamómetro manual digital Jamar Smart. A análise do modelo linear simples revelou uma associação negativa entre as variáveis género e a força de preensão (ρ = -0,467, p <0,001) indicando que, embora as mulheres tenham uma força de preensão significativamente menor que os homens, o género por si só não é o único determinante dessa diferença. As outras variáveis determinantes analisadas, como idade, IMC, antiguidade, atividade física, hábito de fumar, Score final European Assembly Worksheet (EAWS), Presença e ausência de dor nos membros superiores e Capacidade para o trabalho -WAS, demonstraram não contribuir significativamente ou não estabelecer uma relação com a força de preensão.
The research was carried out in an automobile company with the aim of identifying the determining factors that contribute to the decline in muscle strength in this sector. The study adopted a cross-sectional analytical observational approach and involved a sample of 352 workers, who were tested over 16 weeks. This sample was subdivided into six age groups, with ages ranging from 18 to 58, for both females and males, due to statistically significant differences. Various instruments, methods, materials and procedures were used to carry out the study. Handgrip strength was assessed using a Jamar Smart digital hand dynamometer. Analysis of the simple linear model revealed a negative association between the variables gender and grip strength (ρ = -0.467, p <0.001) indicating that although women have significantly lower grip strength than men, gender alone is not the only determinant of this difference. The other predictive variables analyzed, such as age, BMI, seniority, physical activity, smoking, European Assembly Worksheet (EAWS) Final Score, presence and absence of upper limb pain and Work Ability Score (WAS), proved not to contribute significantly or to establish a relationship with grip strength.
The research was carried out in an automobile company with the aim of identifying the determining factors that contribute to the decline in muscle strength in this sector. The study adopted a cross-sectional analytical observational approach and involved a sample of 352 workers, who were tested over 16 weeks. This sample was subdivided into six age groups, with ages ranging from 18 to 58, for both females and males, due to statistically significant differences. Various instruments, methods, materials and procedures were used to carry out the study. Handgrip strength was assessed using a Jamar Smart digital hand dynamometer. Analysis of the simple linear model revealed a negative association between the variables gender and grip strength (ρ = -0.467, p <0.001) indicating that although women have significantly lower grip strength than men, gender alone is not the only determinant of this difference. The other predictive variables analyzed, such as age, BMI, seniority, physical activity, smoking, European Assembly Worksheet (EAWS) Final Score, presence and absence of upper limb pain and Work Ability Score (WAS), proved not to contribute significantly or to establish a relationship with grip strength.
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Força muscular Força de preensão manual Exposição biomecânica Capacidade física Função Músculo-esquelética Dinamometria Capacidade para o trabalho Envelhecimento European Assembly Worksheet Indústria automóvel Muscle strength Handgrip strength Biomechanical exposure Physical capacity Musculoskeletal function Dynamometry Work ability Ageing Automotive industry