Magriplis Emmanuella, Marakis Georgios, Kotopoulou Sotiria, Naska Androniki, Michas George, Micha Renata, Panagiotakos Demosthenes, Zampelas Antonis
Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece.
Hellenic Food Authority, 11526 Athens, Greece.
Rev Cardiovasc Med. 2022 Apr 7;23(4):130. doi: 10.31083/j.rcm2304130. eCollection 2022 Apr.
Evidence points to adverse effects of trans fatty acids (TFA) on health. The aim of this study was to estimate total TFA intake, evaluate major food contributors and its effect on dyslipidemia.
A total of 3537 adults (48.3% males) were included. Total TFA intake was assessed using two 24-hour dietary recalls. Foods were categorized into specific food groups. Adjusted Logistic Regression analysis was performed to assess the likelihood of dyslipidemia by tertile of TFA aand Saturated Fatty Acid (SFA) level.
Median TFA intake was 0.53% of energy (from 0.34 to 0.81) ranging from 0.27 (Q1) to 0.95 (Q3) ( 0.001, for trend), and 16% of individuals consumed TFA above 1% of their total energy. Cheese was the main contributor to TFA intake, with processed/refined grains and fried fish following. The latter was the main contributor in older adults (51+ years). Adjusted logistic regression analysis showed that individuals at the highest tertile of trans consumption were 30% more likely to have dyslipidemia compared to the lowest ( : 1.3; 95% CI: 1.02-1.66 and : 1.3; 95% CI:1.01-1.66, respectively). This increased by 10% when stratified by SFA intake (OR: 1.4; 95% CI: 1.061-1.942) and remained significant only in individuals at the highest tertile and with higher than recommended SFA intake.
A high intake of TFA combined with high SFA intakes further increase the likelihood of dyslipidemia and should be accounted for in public health prevention programs. Monitoring and evaluation of the recent EU legislative measures on TFA levels in foods is also necessary.
有证据表明反式脂肪酸(TFA)对健康有不良影响。本研究的目的是估计总反式脂肪酸摄入量,评估主要食物来源及其对血脂异常的影响。
共纳入3537名成年人(男性占48.3%)。使用两次24小时饮食回顾来评估总反式脂肪酸摄入量。食物被分类到特定食物组。通过反式脂肪酸和饱和脂肪酸(SFA)水平的三分位数进行调整后的逻辑回归分析,以评估血脂异常的可能性。
反式脂肪酸摄入量中位数为能量的0.53%(范围为0.34%至0.81%),四分位数间距为0.27(第一四分位数)至0.95(第三四分位数)(趋势检验P<0.001),16%的个体反式脂肪酸摄入量超过其总能量的1%。奶酪是反式脂肪酸摄入的主要来源,其次是加工/精制谷物和油炸鱼。后者是老年人(51岁及以上)的主要来源。调整后的逻辑回归分析表明,反式脂肪酸摄入量最高三分位数的个体患血脂异常的可能性比最低三分位数的个体高30%(比值比:1.3;95%置信区间:1.02 - 1.66;P = 0.033)。按饱和脂肪酸摄入量分层时,这一比例增加了10%(比值比:1.4;95%置信区间:1.061 - 1.942),并且仅在反式脂肪酸摄入量最高三分位数且饱和脂肪酸摄入量高于推荐量的个体中仍然显著。
高反式脂肪酸摄入量与高饱和脂肪酸摄入量相结合会进一步增加血脂异常的可能性,应在公共卫生预防项目中予以考虑。对欧盟近期关于食品中反式脂肪酸水平的立法措施进行监测和评估也是必要的。