An anthropometric study of Serbian metal industry workers
Апстракт
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 modeling covers a larger extent of the intended population proportion compared to percenti...les. CONCLUSIONS: The results of this research are useful for the designers of metal industry workstations. This information can be used in dimensioning the workplace, thus increasing job satisfaction, reducing the risk of injuries and fatalities, and consequently increasing productivity and safety.
Кључне речи:
principal components analysis / percentiles / Anthropometric measurementsИзвор:
Work-A Journal of Prevention Assessment & Rehabilitation, 2017, 56, 2, 257-265Издавач:
- IOS Press, Amsterdam
DOI: 10.3233/WOR-172482
ISSN: 1051-9815
PubMed: 28211833
WoS: 000396548900009
Scopus: 2-s2.0-85015452076
Институција/група
Inovacioni centarTY - JOUR AU - Omić, Snežana AU - Spasojević Brkić, Vesna AU - Golubović, Tamara AU - Brkić, Aleksandar AU - Klarin, Milivoj PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2600 AB - 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 modeling covers a larger extent of the intended population proportion compared to percentiles. CONCLUSIONS: The results of this research are useful for the designers of metal industry workstations. This information can be used in dimensioning the workplace, thus increasing job satisfaction, reducing the risk of injuries and fatalities, and consequently increasing productivity and safety. PB - IOS Press, Amsterdam T2 - Work-A Journal of Prevention Assessment & Rehabilitation T1 - An anthropometric study of Serbian metal industry workers EP - 265 IS - 2 SP - 257 VL - 56 DO - 10.3233/WOR-172482 ER -
@article{ author = "Omić, Snežana and Spasojević Brkić, Vesna and Golubović, Tamara and Brkić, Aleksandar and Klarin, Milivoj", year = "2017", abstract = "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 modeling covers a larger extent of the intended population proportion compared to percentiles. CONCLUSIONS: The results of this research are useful for the designers of metal industry workstations. This information can be used in dimensioning the workplace, thus increasing job satisfaction, reducing the risk of injuries and fatalities, and consequently increasing productivity and safety.", publisher = "IOS Press, Amsterdam", journal = "Work-A Journal of Prevention Assessment & Rehabilitation", title = "An anthropometric study of Serbian metal industry workers", pages = "265-257", number = "2", volume = "56", doi = "10.3233/WOR-172482" }
Omić, S., Spasojević Brkić, V., Golubović, T., Brkić, A.,& Klarin, M.. (2017). An anthropometric study of Serbian metal industry workers. in Work-A Journal of Prevention Assessment & Rehabilitation IOS Press, Amsterdam., 56(2), 257-265. https://doi.org/10.3233/WOR-172482
Omić S, Spasojević Brkić V, Golubović T, Brkić A, Klarin M. An anthropometric study of Serbian metal industry workers. in Work-A Journal of Prevention Assessment & Rehabilitation. 2017;56(2):257-265. doi:10.3233/WOR-172482 .
Omić, Snežana, Spasojević Brkić, Vesna, Golubović, Tamara, Brkić, Aleksandar, Klarin, Milivoj, "An anthropometric study of Serbian metal industry workers" in Work-A Journal of Prevention Assessment & Rehabilitation, 56, no. 2 (2017):257-265, https://doi.org/10.3233/WOR-172482 . .