Payette H, Kergoat M J, Shatenstein B, Boutier V, Nadon S
Centre de recherche de l'Institut universitaire de gériatrie de Sherbrooke, Faculté de Médecine, Université de Sherbrooke, 840 Papineau Street, Sherbrooke (Qc), Canada, J1E 1Z2.
J Nutr Health Aging. 2000;4(4):223-8.
A high prevalence of undernutrition has been observed in the elderly, particularly in cognitively impaired or demented individuals. Self-reported height and weight were tested as simple and non-invasive methods to efficiently screen individuals at risk.
Cross-sectional study.
A subset of subjects (n=465) participating in the longitudinal follow-up phase of the Canadian Study of Health and Aging (CSHA) and comprising cognitively intact and impaired individuals as well as demented subjects.
Self-reported values of height and weight were compared to direct standard measurements using Pearson's correlation coefficients and linear regressions by cognitive status. Estimation bias was determined using paired Student t-tests. Sensitivity and specificity of body mass index (BMI) derived from self-reported data were calculated.
Self-reported and measured weights were highly correlated (r>.90) in all three categories of cognitive status. A tendency to underestimate their weight was observed in overweight women. Correlations of recalled to measured height were excellent in normal (r=.91) and good in cognitively impaired (r=.86) and demented (r=.85) subjects. A systematic overestimation of recalled height was observed, particularly among individuals of short stature. Self-reported BMI showed excellent sensitivity (>93%) in detecting underweight individuals in all three categories.
Self-reported height and weight data can be obtained in normal and cognitively-impaired elderly persons as well as in mild or moderate cases of dementia and can be used as a valid tool to screen for risk of undernutrition.
在老年人中,尤其是认知受损或患有痴呆症的个体中,观察到营养不良的高患病率。自我报告的身高和体重作为简单且非侵入性的方法,用于有效筛查有风险的个体。
横断面研究。
参与加拿大健康与老龄化研究(CSHA)纵向随访阶段的一部分受试者(n = 465),包括认知功能完好和受损的个体以及痴呆患者。
使用皮尔逊相关系数和按认知状态进行的线性回归,将自我报告的身高和体重值与直接标准测量值进行比较。使用配对学生t检验确定估计偏差。计算从自我报告数据得出的体重指数(BMI)的敏感性和特异性。
在所有三类认知状态中,自我报告的体重与测量体重高度相关(r >.90)。超重女性存在低估其体重的趋势。在正常受试者中,回忆身高与测量身高的相关性极佳(r =.91),在认知受损(r =.86)和痴呆(r =.85)受试者中相关性良好。观察到对回忆身高的系统性高估,尤其是在身材矮小的个体中。自我报告的BMI在检测所有三类体重过轻个体时显示出极佳的敏感性(> 93%)。
自我报告的身高和体重数据可在正常和认知受损的老年人以及轻度或中度痴呆病例中获得,并可作为筛查营养不良风险的有效工具。