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探究头围与上颌前牙尺寸之间的关系。

Delving Relationship between Head Circumference and Maxillary Anterior Teeth Dimensions.

作者信息

Kumari Sommya, Kumar Mukesh, Guntipally Sowmya Sree, Suresh Aswin, Kumar Ashok, Chhabra Ajay, Sneha Kumari, Saha Kalyan Kumar

机构信息

Department of Dentistry, AIIMS, Deoghar, Jharkhand, India.

Department of Dentistry, AIIMS, Kalyani, West Bengal, India.

出版信息

J Pharm Bioallied Sci. 2025 May;17(Suppl 1):S574-S576. doi: 10.4103/jpbs.jpbs_474_25. Epub 2025 Apr 21.

Abstract

AIM

To explore the association between the head circumference and maxillary anterior teeth dimensions.

MATERIALS AND METHOD

A total of 150 subjects, evenly divided between males and females, were randomly selected for the evaluation of craniometric and odontometric measurements. The measurements were taken using a non-stretchable measuring tape and a sliding digital stainless-steel Vernier caliper. The statistical analyses included One-way ANOVA, correlation, and linear regression analysis. The confidence level of 95%, was determined with a value threshold of less than 0.05 for statistical significance.

RESULTS

Males exhibited a larger average head circumference than females, indicating a highly statistically significant gender dimorphism in cranial circumference. Additionally, males demonstrated a statistically significant increase in the mean combined mesio-distal width of maxillary anterior teeth when compared to females. The Pearson correlation test revealed a weak negative correlation for males, while a weak positive correlation was observed for females and the combined data.

CONCLUSION

The findings of the study did not reveal a significant correlation; however, they may serve as foundational data for future research involving a larger sample size.

摘要

目的

探讨头围与上颌前牙尺寸之间的关联。

材料与方法

总共随机选取150名受试者,男女各半,用于评估颅骨测量和牙齿测量数据。测量使用不可拉伸的卷尺和滑动式数字不锈钢游标卡尺。统计分析包括单因素方差分析、相关性分析和线性回归分析。确定置信水平为95%,统计显著性的p值阈值小于0.05。

结果

男性的平均头围大于女性,表明颅骨周长存在高度统计学意义的性别二态性。此外,与女性相比,男性上颌前牙的平均近远中宽度总和有统计学意义的增加。Pearson相关性检验显示男性为弱负相关,而女性及合并数据为弱正相关。

结论

该研究结果未显示出显著相关性;然而,它们可为未来更大样本量的研究提供基础数据。

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