摘要
目的探讨老年住院患者体重和体质指数与其他人体营养学指标的关系,建立利用人体营养学指标推算体重与体质指数的方程。方法选择300名住院老年患者,收集其人体营养学指标(体重、身高、上臂围、小腿围、三头肌皮褶厚度、肩胛下皮褶厚度和腹部皮褶厚度等),运用多元逐步回归分析方法,建立体重、体质指数与以上营养学指标的回归方程。结果各人体营养学指标与体重、体质指数的相关性较好(r>0.4);通过建立体重、体质指数与其他人体营养学指标的五元、三元回归方程,得出各方程的决定系数均大于0.8;选用五元回归方程时可获得较为精确的体重、体质指数值,选用三元回归方程则可降低临床工作量。结论在必要时可使用回归方程来预测卧床老年患者的体重、体质指数值;但应注意对卧床老年患者进行早期肢体功能锻炼,以避免肌肉萎缩而增加体重、体质指数值的偏差。
Objective To explore the relationship between the body weight, body mass index （BMI） and the anthropometrie data in elderly patients and establish regression equations for predicting the body weight and BMI using the anthropometric data. Methods The anthropometric data including the mid-arm circumference （MAC）, calf circumference （CC）, triceps skinfold thickness （TSF）, scapular skinfold thickness （SSF）, and abdominal skinfold thickness （ASF） were collected from 300 elderly inpatients, and the regression equations of the body weight, BMI and other anthropometric indices were established. Results The patients＂ body weight and BMI showed good correlation with the anthropometric indices（ r〉0.4）, and the ternary and quintuple regression equations of the body weight and BMI wereestablished （R^2〉0.8）. More precise data of the body weight and BMI could be obtained using the quintuple regression equations, whereas application of the ternary regression equation could reduce the workload in clinical practice. Conclusion Regression equations can be helpful for predicting the body weight and BMI of the bedridden elderly patients, but the patients should be urged to engage in early active functional exercises to reduce the deviation of the predicted values resulting from potential muscle atrophy.
出处
《解放军护理杂志》
2008年第1期13-15,共3页
Nursing Journal of Chinese People's Liberation Army
关键词
回归分析法
老年患者
体重
体质指数
功能锻炼
regression analysis
elderly patients
body weight
body mass index
functional exercise
作者简介
何夏阳（1983-），女，广东阳江人，硕士在读，主要从事老年护理学研究
通讯作者：刘雪琴，女，Email：liuxueqin_1@126．com
