通过主成分分析和聚类分析比较饮食模式与结直肠癌风险的关联:中国一项大型病例对照研究。
Comparing the Associations of Dietary Patterns Identified through Principal Component Analysis and Cluster Analysis with Colorectal Cancer Risk: A Large Case-Control Study in China.
机构信息
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
出版信息
Nutrients. 2023 Dec 31;16(1):147. doi: 10.3390/nu16010147.
Examining the association between dietary patterns and colorectal cancer (CRC) risk can provide valuable insights beyond the assessment of individual foods or nutrients. However, there is a lack of in-depth analysis of dietary patterns and CRC risk in Chinese populations, and few studies have compared dietary patterns derived from different posteriori methods with the aim of predicting disease risk. The aim of this study was to derive dietary patterns using both principal component analysis (PCA) and cluster analysis (CA) and to assess their respective associations with CRC risk. A large-scale case-control study was conducted in Guangdong Province, China, including 2799 incident colorectal cancer cases and an equal number of frequency-matched controls. Dietary intake information was gathered through the use of a validated food frequency questionnaire. PCA and CA were used to derive dietary patterns. A multivariable logistic regression model was used to calculate the adjusted odds ratio (aOR) and 95% confidence interval (CI). Four major dietary patterns were identified by PCA. CA identified two dietary patterns, referred to as the "Balanced dietary pattern" and the "Refined grain dietary pattern". Notably, there were significant inverse associations between the milk-egg-nut-soy dietary pattern (aOR, 0.51; 95% CI, 0.42, 0.62), the vegetable-fruit dietary pattern (aOR, 0.61; 95%CI, 0.51, 0.74), and the poultry-fish dietary pattern (aOR, 0.81; 95%CI, 0.68, 0.97) and CRC risk. However, the red meat-preserved food dietary pattern was associated with an increased risk of CRC (aOR, 2.99; 95%CI, 2.43, 3.67). When compared with the Refined grain dietary pattern, the Balanced dietary pattern showed a decreased risk of CRC (aOR, 0.59; 95%CI, 0.52, 0.66). The results from the comparison of the two methods indicate that both CA and PCA derived remarkably similar patterns. The combined use of PCA and CA identified consistent underlying patterns, showing comparable associations with CRC risk. These findings suggest that individuals who prefer dietary patterns characterized by a high intake of red meat, preserved food, and refined grains should be cautious about their increased CRC risk. Conversely, dietary patterns rich in fruits, vegetables, and high-quality protein sources are advisable for the prevention of CRC in the Chinese population.
探讨饮食模式与结直肠癌(CRC)风险之间的关联,可以提供超越个体食物或营养素评估的有价值的见解。然而,目前针对中国人的饮食模式与 CRC 风险的深入分析还很缺乏,并且很少有研究比较使用不同后验方法得出的饮食模式,以预测疾病风险。本研究旨在使用主成分分析(PCA)和聚类分析(CA)来推导饮食模式,并评估它们各自与 CRC 风险的关联。这是一项在中国广东省进行的大规模病例对照研究,包括 2799 例新发结直肠癌病例和数量相等的频数匹配对照。通过使用经过验证的食物频率问卷收集饮食摄入信息。使用 PCA 和 CA 推导饮食模式。使用多变量逻辑回归模型计算调整后的比值比(aOR)和 95%置信区间(CI)。通过 PCA 确定了四种主要的饮食模式。CA 确定了两种饮食模式,分别称为“均衡饮食模式”和“精制谷物饮食模式”。值得注意的是,牛奶-蛋-坚果-大豆饮食模式(aOR,0.51;95%CI,0.42,0.62)、蔬菜-水果饮食模式(aOR,0.61;95%CI,0.51,0.74)和禽鱼饮食模式(aOR,0.81;95%CI,0.68,0.97)与 CRC 风险呈显著负相关。然而,红肉-腌制食品饮食模式与 CRC 风险增加相关(aOR,2.99;95%CI,2.43,3.67)。与精制谷物饮食模式相比,均衡饮食模式显示 CRC 风险降低(aOR,0.59;95%CI,0.52,0.66)。两种方法的比较结果表明,CA 和 PCA 得出的模式非常相似。PCA 和 CA 的联合使用确定了一致的潜在模式,与 CRC 风险具有可比的关联。这些发现表明,偏爱高摄入红肉、腌制食品和精制谷物的饮食模式的个体应该警惕 CRC 风险增加。相反,富含水果、蔬菜和高质量蛋白质来源的饮食模式有利于预防中国人群的 CRC。