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首页> 外文期刊>Journal of Nutrition & Food Sciences >Validation of the Food Frequency Questionnaire Used to Assess the Association between Dietary Habits and Cardiovascular Risk Factors inthe NESCAV Study
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Validation of the Food Frequency Questionnaire Used to Assess the Association between Dietary Habits and Cardiovascular Risk Factors inthe NESCAV Study

机译:在NESCAV研究中用于评估饮食习惯与心血管危险因素之间关联的食物频率问卷的验证

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Background: In epidemiological studies, the validation of dietary assessment instruments is important to avoid biased associations with outcome measures. Objective: Our objective was to assess the validity of the 134-item food frequency questionnaire (FFQ) used in the Nutrition Environment and Cardiovascular Health (NESCAV) study. Methods: The FFQ was validated against a 3-day dietary record (DR) on a sample of 29 women. The intraclass correlation coefficient (ICC) and Bland and Altman plots were used to assess absolute agreement, whereas relative agreement was appraised by Spearman’s correlation coefficient and Cohen kappa coefficient based on cross classification of 3-category nutrient intake. Results: The two methods differed significantly for the majority of micronutrients with FFQ yielding higher intakes than the DR. The bias between the two methods was nonetheless acceptable with an average overestimation by the FFQ of 11% for macronutrients and 29% for micronutrients. Regarding precision, results differed by 48% for micronutrients and 50% for macronutrients. Correlations on energy-adjusted data by the two methods were satisfactory with an average correlation of 0.47 and 16/25 coefficients above 0.40. Only vitamin A and cholesterol showed poor correlations of 0.02 and 0.05, respectively. On average, the correct classification rate in 3 categories was 50.3% and 19/25 kappa coefficients were above 0.20. Poor agreement was found for protein, cholesterol, starch, vitamins A, B12 and E with weighted kappa coefficient less than 0.20. Conclusion: Although absolute values of dietary intakes were not always accurate, the relationship and agreement between FFQ and DR may be considered as satisfactory. In particular, the FFQ was able to categorize subjects into 3 broad categories of intakes for most nutrients. Results for proteins, cholesterol, starch, vitamins A, E and B12 however ought to be interpreted with caution.
机译:背景:在流行病学研究中,饮食评估工具的验证对于避免与结果指标之间的偏倚至关重要。目的:我们的目的是评估营养环境和心血管健康(NESCAV)研究中使用的134个食物的食物频率问卷(FFQ)的有效性。方法:对29名妇女的3天饮食记录(DR)进行了FFQ验证。类内相关系数(ICC)以及Bland和Altman曲线用于评估绝对一致性,而相对一致性则由Spearman的相关系数和基于3类营养摄入的交叉分类的Cohen kappa系数来评估。结果:两种方法对于大多数微量营养素具有显着差异,FFQ产生的摄入量高于DR。两种方法之间的偏差仍然可以接受,FFQ对高营养素的平均偏高估计为11%,微量营养素的平均偏高为29%。关于精度,微量营养素的结果相差48%,大量营养素的结果相差50%。两种方法对能量调整数据的相关性令人满意,平均相关性为0.47,高于0.40的系数为16/25。仅维生素A和胆固醇的相关性分别为0.02和0.05。平均而言,3个类别的正确分类率为50.3%,并且19/25 kappa系数大于0.20。发现蛋白质,胆固醇,淀粉,维生素A,B12和E的一致性差,加权Kappa系数小于0.20。结论:尽管膳食摄入量的绝对值并不总是准确的,但FFQ和DR之间的关系和一致性可能被认为是令人满意的。特别是,FFQ能够将受试者对大多数营养素的摄入分为三大类。然而,蛋白质,胆固醇,淀粉,维生素A,E和B12的结果应谨慎解释。

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