Anthropometric survey among Iranian Fars workers in factories in the provinces of Tehran, Isfahan and Fars

Background : Lack of anthropometric data in designing work stations, tools and equipment, could be resulted in work related injuries. Therefore, creating anthropometric data bank is essential. The aim of this study was to present anthropometric data from Fars workers and also determining the regress...

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Bibliographic Details
Format: Article
Language:English
Published: Shahid Sadoughi University of Medical Science 2013-05-01
Series:طب کار
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Online Access:http://tkj.ssu.ac.ir/article-1-317-en.pdf
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Summary:Background : Lack of anthropometric data in designing work stations, tools and equipment, could be resulted in work related injuries. Therefore, creating anthropometric data bank is essential. The aim of this study was to present anthropometric data from Fars workers and also determining the regression equations between these dimensions and stature as a reference dimension. Method: A total of 539 Fars workers aged 18-60 from factories which are in 3 provinces participated in this descriptive and cross sectional study. Thirty-seven body dimensions were measured in standard positions presented by Kroemer guidelines, and data were analyzed in SPSS version 18. Mann-Whitney test was used in order to compare measured dimensions between men and women. Moreover, in determination of correlation among anthropometric dimensions, Linear Regression analysis was made. Results: According to the results, the mean stature of women and men were 158/35 (±6/59) and 172/98 (±6/69) respectively. In relation to stature and other body dimensions, a significant difference were observed between men and women (P value 0<0/05). According to the Linear Regressions analysis, heights of eye, shoulder and elbow in standing positions and grip reach in standing position were significantly correlated with stature (P value 0<0/01). Conclusion: Significant differences were observed between women and men body dimensions. Furthermore, comparison of stature in the present study with other similar studies has shown a difference that may be due to differences in ethnicity of selected samples. Furthermore, the estimated regression equations can be used in predicting some of the anthropometric dimensions.
ISSN:2251-7189
2251-8274