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BACKGROUND: There are recent studies using new industrial workers’ anthropometric data in different countries, but for Serbia such data are not available.

OBJECTIVE: This study is the first anthropometric study of Serbian metal industry workers in the country, whose labor force is increasingly employed both on local and international markets. The metal industry is one of Serbia’s most important economic sectors.

METHODS: To this end, we collected the basic static anthropometric dimensions of 122 industrial workers and used principal components analysis (PCA) to obtain multivariate anthropometric models. To confirm the results, the dimensions of an additional 50 workers were collected. The PCA methodology was also compared with the percentile method.

RESULTS: Comparing both data samples, we found that 96% of the participants are within the tolerance ellipsoid. According to this study, multivariate …