Institute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 60-624 Poznań, Poland.
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6021, USA.
Nutrients. 2018 Nov 6;10(11):1692. doi: 10.3390/nu10111692.
We evaluated the feasibility of an application for measuring the frequency of consumption of high-fat foods and compared this application with standard methods.
Twenty-six females and thirty six males aged 20⁻40 were enrolled in Poland. Participants completed the Block Screening Questionnaire for Fat Intake (BSQF; Q1) and a second questionnaire (Q2) with additional high-fat foods. The participants were then monitored for ten days in a real-time manner using a smartphone application that employed the same lists of food as Q2.
Most subjects (84%) gave replies to at least three prompts on at least 5 days. The results from Q1 and the application were correlated (r = 0.42, < 0.001). Energy intake and the frequency of consumption of high-fat foods were correlated in the overweight/obese group (r = 0.83, < 0.001). The mean differences between Q2 and the app were similar in both groups but the agreement limits were wider in the overweight/obese group than in the normal weight group.
An application for mobile devices is a feasible tool for capturing the frequency of high-fat food consumption and it seems to improve the measured variable, especially in overweight or obese people.
我们评估了一款用于测量高脂肪食物消费频率的应用程序的可行性，并将其与标准方法进行了比较。
在波兰，招募了 26 名女性和 36 名 20-40 岁的男性。参与者完成了高脂肪摄入的布洛克筛查问卷（BSQF；Q1）和第二个问卷（Q2），其中包含了更多的高脂肪食物。然后，参与者使用智能手机应用程序以实时方式被监测了十天，该应用程序使用了与 Q2 相同的食物清单。
大多数受试者（84%）至少在 5 天内回复了至少三个提示。Q1 和应用程序的结果相关（r = 0.42， < 0.001）。超重/肥胖组的能量摄入与高脂肪食物的消费频率相关（r = 0.83， < 0.001）。超重/肥胖组 Q2 和应用程序之间的平均差异在两组中相似，但在超重/肥胖组中的协议限制比正常体重组更宽。
用于移动设备的应用程序是一种可行的工具，可以用于捕获高脂肪食物消费的频率，并且它似乎可以改善测量变量，特别是在超重或肥胖人群中。
