Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark.
Department of Nutrition, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Nutrients. 2019 Mar 6;11(3):568. doi: 10.3390/nu11030568.
The growing interest in potential health effects of long-chain polyunsaturated fatty acids (PUFAs) makes it important to evaluate the method used to assess the fatty acid intake in nutrition research studies. We aimed to validate the questionnaire-based dietary intake of selected PUFAs: eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), α-linolenic acid (ALA), linoleic acid (LA), and arachidonic acid (AA) within the Danish National Birth Cohort (DNBC), by comparing 345 women's reported intake with concentration of plasma biomarkers. The applied questionnaire- and biomarker data reflect dietary intake from around the same time point in mid-pregnancy and relationships were investigated by use of Pearson and Spearman correlation and linear regression statistics. We demonstrated moderate but consistent adjusted correlations between dietary intake estimates and the corresponding plasma biomarker concentrations (differences in plasma concentration per 100 mg/day greater intake of 0.05 (95% CI: 0.02; 0.08)) and 0.05 (95% CI: 0.01; 0.08) percentage of total plasma fatty acids for EPA and DHA, respectively). The associations strengthened when restricting the analyses to women with ALA intake below the median intake. We found a weak correlation between the dietary intake of ALA and its plasma biomarker with a difference in plasma concentration of 0.07 (95% CI: 0.03; 0.10) percent of total plasma fatty acids per 1 g/day greater intake, while the dietary intake of LA and AA did not correlate with their corresponding biomarkers.
长链多不饱和脂肪酸(PUFAs)对潜在健康影响的日益关注使得评估营养研究中脂肪酸摄入量的方法显得尤为重要。我们旨在通过比较丹麦国家出生队列(DNBC)中 345 名女性报告的摄入量与血浆生物标志物浓度,验证基于问卷的选定 PUFAs(二十碳五烯酸(EPA)、二十二碳六烯酸(DHA)、α-亚麻酸(ALA)、亚油酸(LA)和花生四烯酸(AA))的饮食摄入量。应用的问卷和生物标志物数据反映了妊娠中期左右同一时间点的饮食摄入情况,通过使用 Pearson 和 Spearman 相关和线性回归统计来研究这些关系。我们发现,饮食摄入量估计值与相应的血浆生物标志物浓度之间存在中等但一致的调整相关性(血浆浓度每增加 100mg/天,EPA 和 DHA 的差异分别为 0.05(95%CI:0.02;0.08)和 0.05(95%CI:0.01;0.08))。当将分析限制在 ALA 摄入量低于中位数的女性中时,相关性得到了加强。我们发现,ALA 的饮食摄入量与其血浆生物标志物之间存在弱相关,其血浆浓度差异为 0.07(95%CI:0.03;0.10),每增加 1 克/天,总血浆脂肪酸的百分比增加 0.07(95%CI:0.03;0.10),而 LA 和 AA 的饮食摄入量与其相应的生物标志物没有相关性。