Department of Nutritional Sciences, Pennsylvania State University, 110 Chandlee Laboratory, University Park, PA 16802, USA.
J Nutr Health Aging. 2012 Jul;16(7):667-72. doi: 10.1007/s12603-012-0030-3.
To determine the relative validity of a population specific food frequency questionnaire (FFQ) and evaluate the effectiveness of the instrument for assessing nutritional risk in older adults.
A cross-over design with participants completing two different dietary assessment instruments in random order.
The Geisinger Rural Aging Study (GRAS), a longitudinal study of over 20,000 adults living in the central, northern and eastern counties of Pennsylvania.
A subset of GRAS consisting of 245 older adults (60% women) ranging in age from 70 to 95 years.
Energy and nutrient intakes were assessed from two instruments: a population specific food frequency questionnaire (FFQ) and four 24-hour dietary recalls conducted over a two week period.
Pearson correlation coefficients between the FFQ and dietary recalls for most nutrients were 0.5 or higher which suggests that the FFQ provided relatively valid estimates of macro and micronutrient intakes examined. Bland-Altman plots were generated to examine the agreement between instruments. Data are shown for energy, folate and zinc with close agreement at lower intakes indicative of risk for folate and zinc. Sensitivity results also showed that the FFQ was able to correctly classify individuals adequately at risk for most nutrients examined.
This population specific FFQ appears to be a valid instrument for use in in evaluating risk for many nutrients that are of particular concern in older adults residing throughout many predominately rural counties in Pennsylvania.
确定特定人群食物频率问卷(FFQ)的相对有效性,并评估该工具评估老年人营养风险的效果。
采用交叉设计,参与者以随机顺序完成两种不同的饮食评估工具。
宾夕法尼亚州中部、北部和东部各县 2 万多名成年人参与的 Geisinger 农村老龄化研究(GRAS)的一项纵向研究。
GRAS 的一个亚组,包括 245 名年龄在 70 至 95 岁之间的老年人(60%为女性)。
使用两种仪器评估能量和营养素摄入量:特定人群的食物频率问卷(FFQ)和在两周内进行的四次 24 小时膳食回忆。
FFQ 与大多数营养素的 24 小时膳食回忆之间的皮尔逊相关系数为 0.5 或更高,这表明 FFQ 提供了相对有效的宏观和微量营养素摄入量估计值。生成 Bland-Altman 图以检查仪器之间的一致性。数据显示能量、叶酸和锌的一致性较好,提示叶酸和锌的摄入存在风险。灵敏度结果还表明,FFQ 能够正确分类大多数营养素的高危个体。
这种特定人群的 FFQ 似乎是一种有效的工具,可用于评估宾夕法尼亚州许多主要为农村县的老年人中特别关注的许多营养素的风险。