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多元分析提出沙巴青年成年人身高估计的线性模型。

A multivariate analysis to propose linear models for the stature estimation in the Sabahan young adult population.

机构信息

Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.

Borneo Medical and Health Research Centre, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.

出版信息

PLoS One. 2022 Aug 30;17(8):e0273840. doi: 10.1371/journal.pone.0273840. eCollection 2022.

DOI:10.1371/journal.pone.0273840
PMID:36040989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9426935/
Abstract

BACKGROUND

Stature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups. To date, limited studies on stature estimation have been conducted in Sabah. Hence, this study aims to construct population-specific stature estimation equations for the large ethnic groups in Sabah, Malaysia.

OBJECTIVE

The aim is to propose linear models using different hand dimensions (hand span, handbreadth, hand length, middle finger length, and the second inter-crease in the middle finger) for the young adult male and females of the major ethnic groups in Sabah.

MATERIALS & METHODS: This cross-sectional study framework used stratified random sampling on 184 male and 184 female young adults. An unpaired t-test and a one-way ANOVA were used to assess the differences in the mean between sex and ethnicities, respectively. The link between the response variable and explanatory variables was initially investigated using simple linear regression, followed by multiple linear regression.

RESULT

The present study demonstrated the highest association for the quantitative explanatory variables among hand length and stature (right side: r = 0.833; left side: r = 0.842). Simple equations were specifically developed without sex indicators, and ethnic and multiple linear regression was developed with sex and ethnic indicators. Multiple linear regression provided good estimation r2 = 0.7886 and adjusted r2 = 0.7853. The stature of 18 to 25 year old large ethnic groups in Sabah can be estimated using the developed models 90.218 + 3.845 LHL -5.950 Sex-2.308 Bajau -1.673 KadazanDusun + 2.676 L2ICL. While, formula for each ethnic and sex KadazanDusun Male: Stature = 88.545 + 3.845 LHL+ 2.676 L2ICL, KadazanDusun Female: Stature = 82.595 + 3.845 LHL+ 2.676 L2ICL, Bajau Male: Stature = 87.910 + 3.845 LHL+ 2.676 L2ICL, Bajau Female: Stature = 81.960 + 3.845 LHL+ 2.676 L2ICL, Malay Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, Malay Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL, Chinese Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, and Chinese Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL.

CONCLUSION

The study reports anthropometric data and formulas for measuring the stature of major ethnic groups in Sabah, which can be used to compare future work.

摘要

背景

身高是确定生物特征的重要参数之一,除了性别、年龄和祖先。沙巴位于马来西亚东部,由多个种族群体组成。迄今为止,沙巴的身高估计研究有限。因此,本研究旨在为马来西亚沙巴的主要种族群体构建特定于人群的身高估计方程。

目的

目的是提出使用不同手部尺寸(手长、手掌宽、手长、中指长和中指第二横纹)的线性模型,用于沙巴年轻成年男性和女性的主要种族群体。

材料与方法

本横断面研究框架对 184 名男性和 184 名女性年轻成年人进行了分层随机抽样。使用独立样本 t 检验和单因素方差分析分别评估性别和种族之间的平均值差异。使用简单线性回归初步研究响应变量与解释变量之间的关系,然后使用多元线性回归。

结果

本研究表明,右手手长和身高之间的定量解释变量相关性最高(右侧:r = 0.833;左侧:r = 0.842)。特别开发了没有性别指标的简单方程,并且开发了具有性别和种族指标的多元线性回归。多元线性回归提供了良好的估计 r2 = 0.7886 和调整 r2 = 0.7853。可以使用开发的模型 90.218 + 3.845 LHL-5.950 Sex-2.308 Bajau-1.673 KadazanDusun + 2.676 L2ICL 估计 18 至 25 岁的大型沙巴种族群体的身高。而每个种族和性别的卡达赞杜顺男性的公式为:身高= 88.545 + 3.845 LHL+ 2.676 L2ICL,卡达赞杜顺女性:身高= 82.595 + 3.845 LHL+ 2.676 L2ICL,巴瑶族男性:身高= 87.910 + 3.845 LHL+ 2.676 L2ICL,巴瑶族女性:身高= 81.960 + 3.845 LHL+ 2.676 L2ICL,马来男性:身高= 90.218 + 3.845 LHL+ 2.676 L2ICL,马来女性:身高= 84.268 + 3.845 LHL+ 2.676 L2ICL,中国男性:身高= 90.218 + 3.845 LHL+ 2.676 L2ICL,中国女性:身高= 84.268 + 3.845 LHL+ 2.676 L2ICL。

结论

该研究报告了沙巴主要种族群体的人体测量数据和身高测量公式,可用于比较未来的工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/9426935/d80065a0851a/pone.0273840.g006.jpg
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