Volume 3, Issue 3 (november 2019)
ohhp 2019, 3(3): 259-277 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
zarinkafsh M, halvani G, fallah H, asgari M. Determination of Anthropometric Indicators of 2 to 6 Years Old Kindergarten and Preschool Children in Isfahan City in 2017. ohhp 2019; 3 (3) :259-277
URL: http://ohhp.ssu.ac.ir/article-1-173-en.html
URL: http://ohhp.ssu.ac.ir/article-1-173-en.html
Department of Ergonomics, Yazd Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract: (1805 Views)
Introduction: Creation of anthropometric database in any age group is one of the most important issues in designing and manufacturing of used equipment. The aim of this study was to determine the anthropometric characteristics of nurses of kindergartens and preschools in Isfahan in the age range of 2 to 6 years and to create an information reference.
Materials and Methods: In this applied study, 700 healthy male and female boys were selected randomly from cluster sampling from nursery schoolchildren and preschools in Isfahan city. 36 anthropometric measurements of them were cross-sectional in the academic year 1396 to 1397. And indicators and statistical percentiles (5.50 and 95) were extracted.
Results: Statistical indexes and percentiles were presented as an anthropometric database in 5 age groups and in two sex groups. Age and sex were influenced by most anthropometric variables and significant difference (P <0.05). .
Conclusion: The age and sex are two factors affecting anthropometric variables. Therefore, it is necessary to use the anterpometric database of the same age group and gender in the design of the equipment.
Materials and Methods: In this applied study, 700 healthy male and female boys were selected randomly from cluster sampling from nursery schoolchildren and preschools in Isfahan city. 36 anthropometric measurements of them were cross-sectional in the academic year 1396 to 1397. And indicators and statistical percentiles (5.50 and 95) were extracted.
Results: Statistical indexes and percentiles were presented as an anthropometric database in 5 age groups and in two sex groups. Age and sex were influenced by most anthropometric variables and significant difference (P <0.05). .
Conclusion: The age and sex are two factors affecting anthropometric variables. Therefore, it is necessary to use the anterpometric database of the same age group and gender in the design of the equipment.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
