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伊朗多民族劳动力的头部和面部人体测量特征:呼吸器设计与尺寸未来研究的框架

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

作者信息

Alighanbari Negar, Jahangiri Mehdi, Seif Mozhgan, Choobineh Alireza

机构信息

Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

Department of Occupational Health and Safety Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

Iran J Public Health. 2025 May;54(5):1098-1106. doi: 10.18502/ijph.v54i5.18644.

DOI:10.18502/ijph.v54i5.18644
PMID:40765789
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12319453/
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.

摘要

背景

头面部人体测量数据在呼吸器的设计和尺寸适配方面起着至关重要的作用。先前关于呼吸器设计的人体测量研究主要集中在美国人和中国人的头面部尺寸上。然而,对于像伊朗这样的多民族国家,相关研究却很匮乏。我们旨在为伊朗工人建立一个全面的头面部人体测量数据库。具体而言,我们试图找出性别、年龄和种族之间的差异,并确定可能影响头面部尺寸的预测因素。

方法

这项横断面研究是在设拉子、德黑兰和卡拉季医科大学附属职业健康与医学检查中心接受健康评估的工人中进行的。2022年共有1000名工人(837名男性和163名女性)参与了该研究。对六个主要伊朗民族的19个头面部人体测量维度进行了测量。使用线性回归分析性别、年龄、种族、职业和BMI对面部尺寸的影响。

结果

结果显示男性和女性的头面部尺寸存在差异,表明男性的面部尺寸更大。线性回归分析表明,性别、种族、职业、年龄和BMI是面部尺寸的重要预测因素。

结论

在设计和确定呼吸器尺寸时,考虑面部人体测量维度的变化至关重要。通过这样做,我们可以确保呼吸器在面部贴合良好,从而将受伤和职业病的几率降至最低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3ad/12319453/3a7e70df75e8/IJPH-54-1098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3ad/12319453/675f415ee4f1/IJPH-54-1098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3ad/12319453/3a7e70df75e8/IJPH-54-1098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3ad/12319453/675f415ee4f1/IJPH-54-1098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3ad/12319453/3a7e70df75e8/IJPH-54-1098-g002.jpg

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