Evidence map›Paper›PMID 40765789›Full record

ArticleIranian journal of public health2025

Anthropometric Features of Head and Face in Iran's Multi-Ethnic Workforce: A Framework for Future Studies on Respirator Design and Sizing.

Negar Alighanbari, Mehdi Jahangiri, Mozhgan Seif, Alireza Choobineh

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Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Negar AlighanbariStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehdi JahangiriDepartment of Occupational Health, Research Center for Health Science, Institute of Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Mozhgan SeifDepartment of Epidemiology, Non-Communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Alireza ChoobinehResearch Center for Health Sciences, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Head and facial anthropometric data play a crucial role in designing and properly sizing respirators. Previous anthropometric studies on respirator design have primarily focused on the head and facial dimensions of American and Chinese individuals. However, there is a lack of research for multi-ethnic countries like Iran. We aimed to establish a comprehensive head and facial anthropometric database for Iranian workers. Specifically, we sought to identify differences among gender, age, and ethnicity, as well as determine the predictors that may influence head and facial dimensions. Methods: This cross-sectional study was conducted among workers who underwent health assessments at Occupational Health and Medical Examination Centers affiliated with the medical universities of Shiraz, Tehran, and Karaj. A total of 1,000 workers (837 males and 163 females) participated in the study in 2022. Nineteen head and facial anthropometric dimensions were measured across six major Iranian ethnic groups. The effects of gender, age, ethnicity, occupation, and BMI on facial dimensions were analyzed using linear regression. Results: The results revealed a difference between the head and face dimensions of males and females, which indicated that the facial dimensions of males were larger. Linear regression analysis showed gender, ethnicity, occupation, age, and BMI were significant predictors of the facial dimensions. Conclusion: When designing and sizing respirators, it is crucial to consider the variations in facial anthropometric dimensions. By doing so, we can ensure that the respirators fit well on the face, thus minimizing the chances of injuries and occupational diseases.

Indexed as

Anthropometric surveyErgonomicsFacial dimensionsRespirator sizing

Identifiers

PMID40765789
PMCPMC12319453

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