Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Clin Nutr. 2019 Jun;38(3):1406-1413. doi: 10.1016/j.clnu.2018.06.961. Epub 2018 Jun 21.
BACKGROUND & AIMS: Nutrient pattern analysis is an easy way to compare nutrient intakes across different nations due to the universality of nutrients nature. The current study aimed to investigate the relation between patterns of nutrients intake and glioma in a case-control study in Iranian adults.
In this hospital-based case-control study, we enrolled 128 pathologically confirmed new cases of glioma and 256 age and sex-matched controls. Dietary intakes of study participants were assessed using the validated Block-format 123-item semi-quantitative FFQ. Data on potential confounders were also collected through the use of pre-tested questionnaire.
Four nutrient patterns were identified through the use of factor analysis. Participants were categorized based on tertiles of nutrient patterns' scores. Adherence to the first nutrient pattern was not significantly associated with the odds of glioma (0.93; 0.40-2.15). Participants with greater adherence to the second nutrient pattern were less likely to have glioma in crude model (0.48; 0.28-0.83). The inverse association remained significant after controlling for age, sex and energy intake (0.42; 0.24-0.78). Further controlling for other potential confounders, including BMI, resulted in the disappearance of the association (0.52; 0.25-1.10). Greater adherence to the third nutrient pattern was directly associated with the odds of glioma (1.92; 1.10-3.35). Even after controlling for sex, age and energy intake, the association was statistically significant (2.83; 1.28-4.21). However, when other confounders were taken into account, the association became non-significant (2.28; 0.89-5.82). The fourth nutrient pattern was not associated with the odds of glioma (0.71; 0.35-1.42).
We failed to find any significant independent association between nutrient patterns and odds of glioma. Further studies needed to confirm these findings.
由于营养素性质的普遍性,营养素模式分析是一种比较不同国家营养素摄入情况的简单方法。本研究旨在通过伊朗成年人的病例对照研究,调查营养素摄入模式与脑胶质瘤之间的关系。
本病例对照研究采用基于医院的方法,共纳入 128 例经病理证实的新诊断脑胶质瘤病例和 256 名年龄和性别匹配的对照。采用经过验证的 Block 格式 123 项半定量 FFQ 评估研究参与者的膳食摄入量。还通过使用预测试问卷收集潜在混杂因素的数据。
通过因子分析确定了 4 种营养素模式。根据营养素模式得分的三分位数对参与者进行分类。第一营养素模式的依从性与脑胶质瘤的发病风险无显著相关性(0.93;0.40-2.15)。在粗模型中,对第二营养素模式依从性较高的参与者患脑胶质瘤的可能性较小(0.48;0.28-0.83)。在校正年龄、性别和能量摄入后,这种关联仍然具有统计学意义(0.42;0.24-0.78)。进一步控制其他潜在混杂因素,包括 BMI,该关联消失(0.52;0.25-1.10)。对第三营养素模式的较高依从性与脑胶质瘤的发病风险直接相关(1.92;1.10-3.35)。即使在校正性别、年龄和能量摄入后,该关联仍具有统计学意义(2.83;1.28-4.21)。然而,当考虑其他混杂因素时,该关联变得不显著(2.28;0.89-5.82)。第四营养素模式与脑胶质瘤的发病风险无关(0.71;0.35-1.42)。
我们未能发现营养素模式与脑胶质瘤发病风险之间存在任何显著的独立关联。需要进一步的研究来证实这些发现。