Main Article Content
This survey research was designed to study muscle pain and factors affected to muscle pain among electronics industries workers in Klongluang district Pathumthani province. Subjects were 93 electronics industries workers selected by simple random sampling. Data were collected by using questionnaire. Descriptive statistics were used to analyze the frequency, percentage, average, standard deviation and multiple regression analysis statistics. The results showed that most Subjects were female (59.1%), age rangea between 21-30 year (60.2), Work experience ranged between 1-3 year (69.9), the most Subjects were normal body mass index between 18.50-22.90 kg/m2 (58.1%) and overweight body mass index ≥ 23 kg/m2 (31.2%), the most Subjects were high mussle pain locate on areas of Feet and Ankles (32.3%), Hand and Wrist (28%) and Hips and Thighs. and factors affected to muscle pain (p-value < 0.05). There were seven factors composing of body mass index (B = 0.576), income (B = - 0.001), standing up all the time (B = -7.296), hand and arm repetitive movement (B = 12.166), Education level (B = 25.702), repetitive movement (B = - 5.190), and work stress (B = 0.326). Thus, seven factors could together predict the muscle pain about 31.5 percent (R2 = 0.315). The regression equation were = 22.714 + 0.576(X1) - 0.001(X2) - 7.296(X3) +12.116(X4) + 25.702(X5) - 5.190(X6) + 0.326(X7). The Conclusion found that the high prevalence of Feet/Ankles Hand/Wrist and Hips/Thighs and Found that factors affected to muscle pain, therefore should be balance to promote health ergonomic and psychosocial and should be indepth research to explain the reasons for these factors. And employees of the electronics industry have a better health and good quality of life.