Normative data for the anthropometric hand dimensions of the Mexican population

Authors

DOI:

https://doi.org/10.31637/epsir-2024-932

Keywords:

hand anthropometry, percentiles, gender differences, anthropometric survey, Mexico, Ergonomics, age group anthropometric differences

Abstract

Work-related musculoskeletal disorders are major occupational health risks that can be positively influenced by appropriate machine, tool, and workstation designs. Despite their importance in ergonomics, normative data for hand anthropometric dimensions have rarely been studied. This study aims to develop normative data for the Mexican population, analyze gender differences, and compare the data with those from other countries.  Methodology: A survey of hand anthropometry in the Mexican population was conducted (2,275 males and 562 females). Four dominant hand dimensions were measured: hand length and breadth, palm length, and handgrip diameter. Results: We have presented descriptive statistics in this study (mean, standard deviation, and 5, 50, 95 percentiles). The results indicated significant differences between the sexes within the Mexican population for all hand dimensions. Discussion: significant differences were observed in data from other countries (mainly Asian countries), even with Latin American and Mexican (old surveys) populations. All data developed represent the Mexican population. There is no evidence of the development of similar data including a wide age range, both genders and big data sample. Conclusions: The presented data can be used to design hand tools, machinery, products, and workstations.

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Author Biographies

Graciela Rodriguez-Vega, University of Sonora

Industrial Engineer from TecNM/Technological Institute of Los Mochis. Master of Science in Industrial Engineering from TecNM/Technological Institute of Hermosillo. PhD in Information Sciences from the Autonomous University of Sinaloa. She is a Full-Time Research Professor at the University of Sonora and a member of the National System of Researchers in the candidate category. She has carried out work in the area of ​​Occupational Health, mainly in Ergonomics and Anthropometry, as well as Machine Learning and prediction of the level of ergonomic risk.

Dora Aydee Rodriguez-Vega, Universidad Politécnica de Sinaloa

Dora Aydee Rodríguez Vega holds a degree in Engineering, a Master of Science in Electronic Engineering with a specialty in Image Processing, and a PhD in Information Sciences. She has worked as a full-time professor in the Mechatronics Engineering program at the Polytechnic University of Sinaloa since 2005. She has had a PRODEP desirable profile since 2007. She is a member of the Sinaloa System of Researchers and Technologists in the Researcher category and a member of the National System of Researchers and Investigators in the candidate category. Her line of research is imitation of movements in humanoid robots, which includes the capture and interpretation of movements and their reproduction in humanoid robots.

References

Candan, S. A., Sahin, U. K., & Akoğlu, S. (2019). The investigation of work-related musculoskeletal disorders among female workers in a hazelnut factory: Prevalence, working posture, work-related and psychosocial factors. Int. J. Ind. Ergon., 74. https://doi.org/10.1016/j.ergon.2019.102838 DOI: https://doi.org/10.1016/j.ergon.2019.102838

Bernard, B. P., & Putz-Anderson, V. (1997). Musculoskeletal Disorders and Workplace Factors: A Critical Review of Epidemiologic Evidence for Work-Related Musculoskeletal Disorders of the Neck, Upper Extremity, and Low Back. DHHS publication, 97-141.

Bhattacharjya, B. R., & Kakoty, S. K. (2020). A survey of the anthropometric data relating to five ethnic groups in Assam considering gender and ethnic diversity: Application of the data in designing an improvised pedal-operated Chaak. Int. J. Ind. Ergon. 76. https://doi.org/10.1016/j.ergon.2020.102927 DOI: https://doi.org/10.1016/j.ergon.2020.102927

Cakit, E., Durgun, B., Cetik, O., & Yoldas, O. (2014). A survey of hand anthropometry and biomechanical measurements of dentistry students in Turkey. Hum. Factors Man., 24, 739-753. https://doi.org/10.1002/hfm.20401 DOI: https://doi.org/10.1002/hfm.20401

Chen, N., Li, G., Sun, X., Zhang, M., Zhang, H., Ling, R., Liu, Y., Li, G., Ren, Z., Yin, Y., & Shao, H. (2022). Prevalence status and associated factors of wrist postural injury in the Chinese occupational population. Front. Public Health., 10. DOI: https://doi.org/10.3389/fpubh.2022.1047814

Chuan, T. K., Hartono, M., & Kumar, N. (2010). Anthropometry of the Singaporean and Indonesian populations. Int. J. Ind. Ergon., 40, 757-766. https://doi.org/10.1016/j.ergon.2010.05.001 DOI: https://doi.org/10.1016/j.ergon.2010.05.001

Dewangan, K. N., Owary, C., & Datta, R. K. (2008). Anthropometric data of female farm workers from north eastern India and design of hand tools of the hilly region. Int. J. Ind. Ergon., 38, 90-100. https://doi.org/10.1016/j.ergon.2007.09.004 DOI: https://doi.org/10.1016/j.ergon.2007.09.004

Dewangan, K. N., Owary, C., & Datta, R. K. (2010). Anthropometry of male agricultural workers of north-eastern India and its use in design of agricultural tools and equipment. Int. J. Ind. Ergon. 40, 560-573. https://doi.org/10.1016/j.ergon.2010.05.006 DOI: https://doi.org/10.1016/j.ergon.2010.05.006

Eksioglu, M. (2004). Relative optimum grip span as a function of hand anthropometry. Int. J.Ind. Ergon., 34, 1-12. https://doi.org/10.1016/j.ergon.2004.01.007 DOI: https://doi.org/10.1016/j.ergon.2004.01.007

European Foudation for the Improvement of Living and Working Conditions. (2011). Changes over time – First findings from the fifth European Working Conditions Survey.

García-Cáceres, R. G., Felknor, S., Córdoba, J. E., Caballero, J. P., & Barrero, L. H. (2012). Hand anthropometry of the Colombian floriculture workers of the Bogota plateau. Int. J. Ind. Ergon., 42, 183–198. https://doi.org/10.1016/j.ergon.2011.12.002 DOI: https://doi.org/10.1016/j.ergon.2011.12.002

Greiner, T.M. (1991). Hand Anthropometry of U.S. Army Personnel.

Hanson, L., Sperling, L., Gard, G., Ipsen, S., & Olivares Vergara, C. (2009). Swedish anthropometrics for product and workplace design. Appl. Ergon., 40, 797-806. https://doi.org/10.1016/j.apergo.2008.08.007 DOI: https://doi.org/10.1016/j.apergo.2008.08.007

ISO 7250-1:2017. Basic human body measurements for technological design - Part 1: Body measurement definitions and landmarks. (2017). https://www.iso.org/standard/65246.html

Khadem, M. M., & Islam, M. A. (2014). Development of anthropometric data for Bangladeshi male population. Int. J. Ind. Ergon., 44, 407–412. https://doi.org/10.1016/j.ergon.2014.01.007. DOI: https://doi.org/10.1016/j.ergon.2014.01.007

Klamklay, J., Sungkhapong, A., Yodpijit, N., & Patterson, E. (2008). Anthropometry of the southern Thai population. Int. J. Ind. Ergon., 38, 111-118. https://doi.org/10.1016/j.ergon.2007.09.001 DOI: https://doi.org/10.1016/j.ergon.2007.09.001

Kong, Y. K., & Kim, D. M. (2015). The relationship between hand anthropometrics, total grip strength and individual finger force for various handle shapes. Int. J. Occup. Saf. Ergon., 21, 187-192. https://doi.org/10.1080/10803548.2015.1029726 DOI: https://doi.org/10.1080/10803548.2015.1029726

Laal, F., Mohammadian, F., Khoshakhlagh, A., Madvari, R. F., Dehghan, S. F., & Pordanjani, S.R. (2022). Effect of anthropometric and demographic factors on musculoskeletal disorders in nurses’ aides. Work., 72, 1205-1213. https://doi.org/10.3233/WOR-210027 DOI: https://doi.org/10.3233/WOR-210027

Lavender, S. A., Marras, W. S., & Sabol, R. J. (2002). A study of female Mexican anthropometric measures useful for workstation design in light manufacturing facilities. AIHA Journal, 63, 300-304. https://doi.org/10.1080/15428110208984717 DOI: https://doi.org/10.1080/15428110208984717

Lee, Y. C., Chen, C. H., & Lee, C. H. (2019). Body anthropometric measurements of Singaporean adult and elderly population. Measurement., 148. https://doi.org/10.1016/j.measurement.2019.106949 DOI: https://doi.org/10.1016/j.measurement.2019.106949

Macdonald, W., & Oakman, J. (2015). Requirements for more effective prevention of work-related musculoskeletal disorders. BMC Musculoskelet. Disord. 16, 293. https://doi.org/10.1186/s12891-015-0750-8 DOI: https://doi.org/10.1186/s12891-015-0750-8

Mandahawi, N., Imrhan, S., Al-Shobaki, S., & Sarder, B. (2008). Hand anthropometry survey for the Jordanian population. International Journal of Industrial Ergonomics. 38, (11-12), 966-976, https://doi.org/10.1016/j.ergon.2008.01.010 DOI: https://doi.org/10.1016/j.ergon.2008.01.010

Massiris, M., Maestre-Meyer, M., Niebles, R. P., & Oviedo-Trespalacios, O. (2014). Convergent validity of an application for hand anthropometric measurement. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 45-48). DOI: https://doi.org/10.1109/BHI.2014.6864300

Massiris, M., Peña-Baena, R., Oviedo-Trespalacios, Ó., & Maestre-Meyer, M. (2015). Hand anthropometry of Colombian Caribbean college students using software based method. Procedia Comput. Sci., 67, 123-131. https://doi.org/10.1016/j.procs.2015.09.256 DOI: https://doi.org/10.1016/j.procs.2015.09.256

Mohamad, D., Deros, B., Ismail, A. R., Darina, D., & Daruis, I. (2010, August 2nd–5th). Development of a Malaysian anthropometric database, Conference on Manufacturing Technology and Management. Conference on Manufacturing Technology and Management, World Engineering Congress, Kuching, Sarawak, Malaysia.

Obi, O. F. (2016). Hand anthropometry survey of rural farm workers in south-eastern Nigeria. Ergonomics., 59, 603-611. https://doi.org/10.1080/00140139.2015.1073796 DOI: https://doi.org/10.1080/00140139.2015.1073796

Oviedo-Trespalacios, O., Martínez Buelvas, L., Hernández, J., & Escobar, J. (2017). Hand anthropometric study in northern Colombia. Int. J. Occup. Saf. Ergon., 23, 472-480. https://doi.org/10.1080/10803548.2016.1217653 DOI: https://doi.org/10.1080/10803548.2016.1217653

Pheasant, S., & Haslegrave, C. M. (2002). Bodyspace: Anthropometry, Ergonomics and The Design of Work. Taylor and Francis. https://doi.org/10.1201/9781482272420 DOI: https://doi.org/10.1201/9781482272420

Punnett, L., & Wegman, D. H. (2004). Work-related musculoskeletal disorders: The epidemiologic evidence and the debate. J. Electromyogr. Kinesiol., 14, 13-23. https://doi.org/10.1016/j.jelekin.2003.09.015 DOI: https://doi.org/10.1016/j.jelekin.2003.09.015

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Published

2024-10-01

How to Cite

Rodriguez-Vega, G., & Rodriguez-Vega, D. A. (2024). Normative data for the anthropometric hand dimensions of the Mexican population. European Public & Social Innovation Review, 9, 1–15. https://doi.org/10.31637/epsir-2024-932

Issue

Vol. 9 (2024)

Section

INNOVATING IN HEALTH AND HEALTHCARE

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Copyright (c) 2024 Graciela Rodríguez-Vega (Autor de Correspondencia); Dora Aydee Rodríguez-Vega

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