在德国几次大规模调查中使用的简短定性食物频率表的验证。

G Winkler, A Döring
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引用次数: 111

摘要

我们的研究旨在测试在德国几次大规模调查中使用的简短定性食物频率表(FFL)的有效性。在奥格斯堡MONICA项目的调查中,FFL在随机选择的成年人中使用。1984/85年,在45 - 64岁的男性亚样本中进行了一项有7天记录的饮食调查(DR)(应答率70%)。899 DR用于验证FFL。比较周平均摄食频次和日平均摄食频次,计算Spearman秩序相关系数,并用统计Kappa值进行分类。“其他糖果(糖果、果汁)”的Spearman相关性为0.15,“凝乳、酸奶、酸奶”、“牛奶包括黄油牛奶”和“矿泉水”的Spearman相关性为0.60;Kappa统计值在0.04(“白面包、黑面包、脆面包”)和0.41(“燕麦片、什米粥、玉米片”和“牛奶包括黄油牛奶”)之间变化。除两项外,FFL数据可用于群体水平的分析。个人层面的分析应谨慎进行。似乎在FFL中,某些食物组通常比其他食物组更容易要求。
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Validation of a short qualitative food frequency list used in several German large scale surveys.

Our study aimed to test the validity of a short, qualitative food frequency list (FFL) used in several German large scale surveys. In the surveys of the MONICA project Augsburg, the FFL was used in randomly selected adults. In 1984/85, a dietary survey with 7-day records (DR) was conducted within the subsample of men aged 45 to 64 (response 70%). The 899 DR were used to validate the FFL. Mean weekly food intake frequency and mean daily food intake were compared and Spearman rank order correlation coefficients and classification into tertiles with values of the statistic Kappa were calculated. Spearman correlations range between 0.15 for the item "Other sweets (candies, compote)" and 0.60 for the items "Curds, yoghurt, sour milk", "Milk including butter milk" and "Mineral water"; values for statistic Kappa vary between 0.04 ("White bread, brown bread, crispbread") and 0.41 ("Flaked oats, muesli, cornflakes" and "milk including butter milk"). With the exception of two items, FFL data can be used for analysis on group level. Analysis on individual level should be done with caution. It seems, as if some food groups are generally easier to ask for in FFL than others.

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