Dietary patterns and markers of systemic inflammation among Iranian women

Dietary patterns and markers of systemic inflammation among Iranian women
复制标题

DOI:
10.1093/jn/137.4.992
复制
发表时间:
2007-04-01
影响因子:
4.2
通讯作者:
Willett, Walter C.
Willett, Walter C.
中科院分区:
医学2区
文献类型:
--
作者:
Esmaillzadeh, Ahmad;Kimiagar, Masoud;Willett, Walter C.

文献摘要

被引文献

相似文献

很少有研究检查主要饮食模式对全身炎症标志物的贡献。这项研究的目的是评估伊朗妇女主要饮食模式与全身炎症标志物的关系。在一项对486名年龄在40-60岁之间的健康女性的横断面研究中,我们通过FFQ评估了日常饮食摄入量。膳食模式进行了因素分析。进行人体测量,并采集空腹血样用于测量炎症标志物。健康模式(水果,蔬菜,番茄,家禽,豆类,茶,果汁和全谷物含量高)与C反应蛋白(CRF)的血浆浓度呈负相关。(β =-0.09,P < 0.001),E-选择素(β =-0.07,P < 0.05),可溶性血管细胞粘附分子-1(sVCAM-1)(β =-0.08,P < 0.001);随着BMI和腰围(WC)的进一步调整,CRP的相关性仍然显著sVCAM-1(β =-0.0 4,P <0.0 5)。相比之下,西方模式得分(富含精制谷物、红肉、黄油、加工肉类、高脂肪乳制品、糖果和甜点、比萨饼、土豆、鸡蛋、氢化脂肪和软饮料)与CRP呈正相关。(β =-0.08,P < 0.001),血清淀粉样蛋白A(SAA)(β = 0.11,P < 0.05),IL-6(β = 0.09,P < 0.001)、可溶性细胞间粘附分子-1(β = 0.05,P < 0.05)和sVCAM-1浓度(β = 0.07,P < 0.05)。然而,在额外控制BM I和WC后,仅SAA(β = 0.06,P < 0.05)和IL-6(P = 0.07,P < 0.001)的相关性仍然显著。当我们控制了包括BMI和WC在内的混杂因素时,传统的饮食模式(富含精制谷物、马铃薯、茶、全谷物、氢化脂肪、豆类和砂锅)与血浆IL-6浓度呈正相关(β = 0.04,P < 0.05)。研究结果表明,主要的饮食模式和炎症标志物的血浆浓度之间存在独立的联系。
Few studies have examined the contribution of major dietary patterns to markers of systemic inflammation. This study was conducted to evaluate the association of major dietary patterns with markers of systemic inflammation among Iranian women. In a cross-sectional study of 486 healthy women aged 40-60 y, we assessed usual dietary intakes by means of an FFQ. Dietary patterns were identified by factor analysis. Anthropometric measurements were made and blood samples from fasting were taken for measuring inflammatory markers. The healthy pattern (high in fruits, vegetables, tomato, poultry, legumes, tea, fruit juices, and whole grains) was inversely related to plasma concentrations of C-reactive protein (CRF) (beta = -0.09, P < 0.001), E-selectin (beta = -0.07, P < 0.05), and soluble vascular cell adhesion molecule-1 (sVCAM-1) (beta = -0.08, P < 0.001) after control for potential confounders;, with further adjustment for BMI and waist circumference (WC), the associations remained significant for CRP (beta = -0 05, P < 0.05) and sVCAM-1 (beta = -0.04, P < 0.05). In contrast, the western pattern score (high in refined grains, red meat, butter, processed meat, high-fat dairy, sweets and desserts, pizza, potato, eggs, hydrogenated fats, and soft drinks) was positively related to CRP (beta = -0.08, P < 0.001), serum amyloid A (SAA) (beta = 0.11, P < 0.05), IL-6 (beta = 0.09, P < 0.001), soluble intercellular adhesion molecule-1 (beta = 0.05, P < 0.05), and sVCAM-1 concentrations (beta = 0.07, P < 0.05). However, after additional control for BM I and WC, the associations remained significant only for SAA (beta = 0.06, P < 0.05) and IL-6 (P = 0.07, P < 0.001). The traditional dietary pattern (high in refined grains, potato, tea, whole grains, hydrogenated fats, legumes, and casserole) was positively associated with the plasma IL-6 concentration (beta = 0.04, P < 0.05) when we controlled for confounders including BMI and WC. The findings suggest an independent association between major dietary patterns and plasma concentrations of markers of inflammation.