Sarkhosh-Khorasani Sahar, Mozaffari-Khosravi Hassan, Mirzaei Masoud, Nadjarzadeh Azadeh, Hosseinzadeh Mahdieh
Nutrition and Food Security Research Center Shahid Sadoughi University of Medical Sciences Yazd Iran.
Department of Nutrition School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran.
Food Sci Nutr. 2020 Mar 31;8(5):2478-2489. doi: 10.1002/fsn3.1538. eCollection 2020 May.
The aim was to determine the relationship between dietary patterns derived by principal component analysis (PCA) in association with obesity from a large group of Iranian adults in the urban and suburb areas. A cross-sectional study was conducted on 10,693 Iranian adults. The data were collected from two cohort studies: Shahedieh city annexed to Yazd area as well as Yazd Health Study (YaHS)-TAMYZ (Yazd Nutrition Survey in Persian) in urban area. Dietary intakes were assessed using a validated semi-quantitative food frequency questionnaire. The PCA was applied to identify the dietary patterns. Multiple logistic regressions were run to assess the relationship between dietary patterns and obesity. In Shahedieh cohort study, three major dietary patterns were identified traditional, unhealthy, and prudent pattern. Prudent pattern was associated with lower odds of obesity (OR: 0.68; 95% CI: 0.53, 0.88). Higher adherence to the unhealthy (OR: 1.24; 95% CI: 1.02, 1.50) and traditional (OR: 1.38; 95% CI: 1.11, 1.72) patterns was related to greater odds of obesity. Moreover, we identified traditional and unhealthy dietary patterns in YaHS study. Higher adherence to the unhealthy dietary pattern was associated with greater odds of obesity (OR: 1.21 95% CI: 1.02, 1.44). Greater adherence to unhealthy dietary patterns was associated with higher odds of obesity in participants. Greater adherence to traditional and prudent dietary patterns increased and decreased the obesity odds, respectively. Further prospective studies are needed to find out the causal relationship between the variables.
目的是确定通过主成分分析（PCA）得出的饮食模式与一大群伊朗城市和郊区成年人肥胖之间的关系。对10693名伊朗成年人进行了一项横断面研究。数据来自两项队列研究：亚兹德地区附属的沙赫迪耶市以及城市地区的亚兹德健康研究（YaHS）-TAMYZ（波斯语的亚兹德营养调查）。使用经过验证的半定量食物频率问卷评估饮食摄入量。应用主成分分析来识别饮食模式。进行多元逻辑回归以评估饮食模式与肥胖之间的关系。在沙赫迪耶队列研究中，确定了三种主要饮食模式：传统模式、不健康模式和谨慎模式。谨慎模式与较低的肥胖几率相关（OR：0.68；95%CI：0.53，0.88）。对不健康模式（OR：1.24；95%CI：1.02，1.50）和传统模式（OR：1.38；95%CI：1.11，1.72）的更高依从性与更高的肥胖几率相关。此外，我们在亚兹德健康研究中确定了传统和不健康的饮食模式。对不健康饮食模式的更高依从性与更高的肥胖几率相关（OR：1.21，95%CI：1.02，1.44）。对不健康饮食模式的更高依从性与参与者更高的肥胖几率相关。对传统和谨慎饮食模式的更高依从性分别增加和降低了肥胖几率。需要进一步的前瞻性研究来找出变量之间的因果关系。
