Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Östra Sjukhuset, Diagnosvägen 11, 41650 Gothenburg, Sweden.
Department of Food and Meal Science, Kristianstad University, Kristianstad, Sweden.
Public Health Nutr. 2019 Mar;22(4):645-653. doi: 10.1017/S1368980018002264. Epub 2018 Sep 14.
We aimed to assess the feasibility of a simple new fifteen-item FFQ as a tool for screening risk of poor dietary patterns in a healthy middle-aged population and to investigate how the results of the FFQ correlated with cardiovascular risk factors and socio-economic factors.
A randomized population-based cross-sectional study. Metabolic measurements for cardiovascular risk factors and information about lifestyle were collected. A fifteen-item FFQ was created to obtain information about dietary patterns. From the FFQ, a healthy eating index was created with three dietary groups: good, average and poor. Multivariate logistic regression was used to assess relationships between dietary patterns and cardiovascular risk factors.
Sweden.
Men and women aged 50 years and living in Gothenburg, Sweden.
In total, 521 middle-aged adults (257 men, 264 women) were examined. With good dietary pattern as the reference, there was a gradient association of having obesity, hypertension and high serum TAG in those with average and poor dietary patterns. After adjustment for education and lifestyle factors, individuals with a poor dietary pattern still had significantly higher risk (OR; 95 % CI) of obesity (2·33; 1·10, 4·94), hypertension (2·73; 1·44, 5·20) and high serum TAG (2·62; 1·33, 5·14) compared with those with a good dietary pattern.
Baseline data collected by a short FFQ can predict cardiovascular risk factors in middle-aged Swedish men and women. The FFQ could be a useful tool in health-care settings, when screening for risk of poor dietary patterns.
我们旨在评估一个简单的十五项食物频率问卷（FFQ）作为筛查健康中年人群不良饮食模式风险的工具的可行性，并研究 FFQ 的结果与心血管危险因素和社会经济因素的相关性。
一项随机的基于人群的横断面研究。收集了心血管危险因素的代谢测量值和生活方式信息。创建了一个十五项的 FFQ 来获取有关饮食模式的信息。从 FFQ 中，创建了一个健康饮食指数，分为三个饮食组：良好、一般和不良。使用多变量逻辑回归评估饮食模式与心血管危险因素之间的关系。
瑞典。
年龄在 50 岁及以上、居住在瑞典哥德堡的男性和女性。
共有 521 名中年成年人（257 名男性，264 名女性）接受了检查。以良好的饮食模式为参照，在一般和不良饮食模式的人群中，肥胖、高血压和高血清三酰甘油（TAG）的发生率呈梯度关联。在调整了教育和生活方式因素后，饮食模式不良的个体患肥胖症（2.33；1.10，4.94）、高血压（2.73；1.44，5.20）和高血清 TAG（2.62；1.33，5.14）的风险仍然显著更高。
通过简短的 FFQ 收集的基线数据可以预测瑞典中年男性和女性的心血管危险因素。FFQ 可以在医疗保健环境中用作筛查不良饮食模式风险的有用工具。
