Van Lier A M, Roy M A, Payette H
Research Center on Aging, Sherbrooke Geriatric University Institute, 1036 Belvedere Sud, Sherbrooke, Quebec, Canada, J1H 4C4.
J Nutr Health Aging. 2007 Jul-Aug;11(4):372-9.
Height is an important component of anthropometric assessment. Valid measures of height are difficult to obtain in the frail elderly. Equations to predict height, using knee height, were proposed for healthy but not for frail elderly.
The objectives of this study were to 1) develop and validate equations to predict height (measured and reported) in the frail elderly, 2) to verify the accuracy and reliability of equations, and 3) to compare predicted values with those predicted from existing equations for the healthy elderly.
This is a secondary analysis of data from three cross-sectional studies and three randomized community trials in the Sherbrooke area, Quebec, Canada.
Subjects (n=599) were Caucasian, aged 60 and over, and receiving community or Meals-on-Wheels services.
Variables associated with measured and reported heights were entered in multiple linear regression models (n = 409) to identify independent prediction factors. Reliability assessment and agreement analysis were performed with a sub-group of subjects (n=190).
Knee height and age in men (R(2) = .718), and with the addition of weight and hip circumference in women (R(2) = .593), were identified as predictors of measured height. For reported height, knee height was a predictor in men (R(2) = .693), while weight was another predictor in women (R(2) = .540). These models predicted height just as well in the validation group (R(2) = .514 to .623). Errors of estimates ranged from +/- 3.31 cm to +/- 5.06 cm. Predicted values were closer to directly measured values in the frail elderly as compared to values obtained with equations in the healthy elderly which differed significantly.
Equations were developed to predict measured and reported height in the frail elderly. These equations can be used when height cannot be measured directly or when postural problems (for measured height) or cognitive disorders (for reported height) can cause unreliable measurements.
身高是人体测量评估的一个重要组成部分。在体弱的老年人中很难获得有效的身高测量值。已经提出了使用膝高来预测身高的公式，但这些公式是针对健康老年人的，而不是体弱的老年人。
本研究的目的是：1）开发并验证用于预测体弱老年人身高（测量值和报告值）的公式；2）验证公式的准确性和可靠性；3）将预测值与现有健康老年人公式的预测值进行比较。
这是对加拿大魁北克省舍布鲁克地区三项横断面研究和三项随机社区试验数据的二次分析。
受试者（n = 599）为白种人，年龄在60岁及以上，接受社区服务或上门送餐服务。
将与测量身高和报告身高相关的变量纳入多元线性回归模型（n = 409），以确定独立的预测因素。对一个亚组受试者（n = 190）进行了可靠性评估和一致性分析。
男性的膝高和年龄（R² = 0.718），以及女性中加入体重和臀围（R² = 0.593）被确定为测量身高的预测因素。对于报告身高，膝高是男性的预测因素（R² = 0.693），而体重是女性的另一个预测因素（R² = 0.540）。这些模型在验证组中对身高的预测效果同样良好（R² = 0.514至0.623）。估计误差范围为±3.31厘米至±5.06厘米。与健康老年人公式获得的值相比，体弱老年人的预测值更接近直接测量值，两者差异显著。
开发了用于预测体弱老年人测量身高和报告身高的公式。当无法直接测量身高或存在姿势问题（对于测量身高）或认知障碍（对于报告身高）导致测量不可靠时，可以使用这些公式。
