Ryman Tove K, Boyer Bert B, Hopkins Scarlett, Philip Jacques, O'Brien Diane, Thummel Kenneth, Austin Melissa A
Department of Epidemiology,Box 357236,School of Public Health, University of Washington,Seattle,WA98195,USA.
Center for Alaska Native Health Research,311 Irving I, Box 757000, University of Alaska Fairbanks,Fairbanks,AK99775,USA.
Br J Nutr. 2015 Feb 28;113(4):634-43. doi: 10.1017/S0007114514003596. Epub 2015 Feb 6.
FFQ data can be used to characterise dietary patterns for diet-disease association studies. In the present study, we evaluated three previously defined dietary patterns--'subsistence foods', market-based 'processed foods' and 'fruits and vegetables'--among a sample of Yup'ik people from Southwest Alaska. We tested the reproducibility and reliability of the dietary patterns, as well as the associations of these patterns with dietary biomarkers and participant characteristics. We analysed data from adult study participants who completed at least one FFQ with the Center for Alaska Native Health Research 9/2009-5/2013. To test the reproducibility of the dietary patterns, we conducted a confirmatory factor analysis (CFA) of a hypothesised model using eighteen food items to measure the dietary patterns (n 272). To test the reliability of the dietary patterns, we used the CFA to measure composite reliability (n 272) and intra-class correlation coefficients for test-retest reliability (n 113). Finally, to test the associations, we used linear regression (n 637). All factor loadings, except one, in CFA indicated acceptable correlations between foods and dietary patterns (r>0·40), and model-fit criteria were >0·90. Composite and test-retest reliability of the dietary patterns were, respectively, 0·56 and 0·34 for 'subsistence foods', 0·73 and 0·66 for 'processed foods', and 0·72 and 0·54 for 'fruits and vegetables'. In the multi-predictor analysis, the dietary patterns were significantly associated with dietary biomarkers, community location, age, sex and self-reported lifestyle. This analysis confirmed the reproducibility and reliability of the dietary patterns in the present study population. These dietary patterns can be used for future research and development of dietary interventions in this underserved population.
食物频率问卷（FFQ）数据可用于描述饮食模式，以进行饮食与疾病关联研究。在本研究中，我们评估了阿拉斯加西南部尤皮克人群样本中的三种先前定义的饮食模式——“自给食物”、基于市场的“加工食品”和“水果与蔬菜”。我们测试了这些饮食模式的可重复性和可靠性，以及这些模式与饮食生物标志物和参与者特征之间的关联。我们分析了2009年9月至2013年5月期间在阿拉斯加原住民健康研究中心完成至少一份食物频率问卷的成年研究参与者的数据。为了测试饮食模式的可重复性，我们使用18种食物项目对一个假设模型进行了验证性因子分析（CFA），以测量饮食模式（n = 272）。为了测试饮食模式的可靠性，我们使用CFA来测量组合信度（n = 272）和重测信度的组内相关系数（n = 113）。最后，为了测试关联性，我们使用了线性回归（n = 637）。在CFA中，除一个因素外，所有因子载荷均表明食物与饮食模式之间存在可接受的相关性（r>0·40），且模型拟合标准>0·90。“自给食物”饮食模式的组合信度和重测信度分别为0·56和0·34，“加工食品”为0·73和0·66，“水果与蔬菜”为0·72和0·54。在多预测因素分析中，饮食模式与饮食生物标志物、社区位置、年龄、性别和自我报告的生活方式显著相关。该分析证实了本研究人群中饮食模式的可重复性和可靠性。这些饮食模式可用于该服务不足人群未来饮食干预措施的研究与开发。
