Suppr超能文献

[利用皮褶厚度和年龄评估日本女性的身体密度]

[Body density assessment utilizing skinfold thickness and age in Japanese women].

作者信息

Tahara Y, Yukawa K, Tsunawake N, Saeki S, Nishiyama K, Urata H, Katsuno K, Fukuyama Y, Michimukou R, Moji K

机构信息

Department of Health and Physical Education, Faculty of Liberal Arts, Nagasaki University.

出版信息

Nihon Koshu Eisei Zasshi. 1995 Feb;42(2):84-94.

PMID:7718912
Abstract

A study was conducted to investigate the validity of skinfold-based prediction equations for body density (g/ml) by Nagamine and Suzuki (1964), and to formulate more convenient and more useful equations for predicting body density from skinfold and age in women. Subjects of the study were 512 healthy women aged 18-66 years in or near Nagasaki City. The dependent variable in the multiple regression equation, body density, was determined by hydrostatic weighing. Independent variables included eight skinfolds, the sum of two skinfolds (triceps, subscapular), the sum of three skinfolds (triceps, subscapular, and abdominal), age, and body surface area. Skinfolds were measured with an Eiken-model skinfold caliper. Age (mean 30.1, range 18-66 yrs.), weight (mean 52.6, range 38.0-83.3 kg), height (mean 157.0, range 142.0-172.0 cm), and body density, (mean 1.04125, range 0.98806-1.08650 g/ml) were also recorded. Percent body fat was calculated using the formula by Brozek et al. and ranged from 6.4% to 48.3%. Multiple correlation coefficients (MR) and standard error (SE) of 10 regression equations (A-J) for predicting body density in women were compared. The best-fitting and the most convenient prediction equation for body density was equation-E. The regression equation developed for predicting body density was: body density = 1.07931-0.00059 x sum of three skinfolds(mm)-0.00015 x age (MR = 0.77 and SE = 0.0089). The equation was cross-validated on a different sample of 46 women. The correlation coefficient between predicted and hydrostatically determined body density was 0.813 (p < 0.001). Equation-E (Tahara's equation) appears to be useful in body density analysis particularly when the subjects are Japanese women, aged 18-50 yrs, with percent body fat 17 to 34%.

摘要

开展了一项研究,旨在调查长岭和铃木(1964年)提出的基于皮褶厚度预测身体密度(克/毫升)的公式的有效性,并制定更便捷、更实用的公式,用于根据皮褶厚度和年龄预测女性的身体密度。该研究的对象是长崎市或其附近地区的512名18至66岁的健康女性。多元回归方程中的因变量——身体密度,通过水下称重法测定。自变量包括8个皮褶厚度、两个皮褶厚度之和(肱三头肌、肩胛下)、三个皮褶厚度之和(肱三头肌、肩胛下、腹部)、年龄和体表面积。皮褶厚度用荣研牌皮褶厚度卡尺测量。还记录了年龄(平均30.1岁,范围18至66岁)、体重(平均52.6千克,范围38.0至83.3千克)、身高(平均157.0厘米,范围142.0至172.0厘米)以及身体密度(平均1.04125克/毫升,范围0.98806至1.08650克/毫升)。体脂百分比使用布罗泽克等人的公式计算,范围为6.4%至48.3%。比较了用于预测女性身体密度的10个回归方程(A - J)的复相关系数(MR)和标准误差(SE)。对身体密度而言,拟合度最佳且最便捷的预测方程是方程E。所制定的用于预测身体密度的回归方程为:身体密度 = 1.07931 - 0.00059×三个皮褶厚度之和(毫米) - 0.00015×年龄(MR = 0.77,SE = 0.0089)。该方程在另外46名女性样本上进行了交叉验证。预测的身体密度与通过水下称重法测定的身体密度之间的相关系数为0.813(p < 0.001)。方程E(田原方程)似乎在身体密度分析中很有用,尤其是当受试者为18至50岁、体脂百分比为17%至34%的日本女性时。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验