Department of Food and Nutrition, Umeå University, Umeå, Sweden.
JMIR Mhealth Uhealth. 2015 Nov 3;3(4):e93. doi: 10.2196/mhealth.4804.
There is a great need for dietary assessment methods that suit the adolescent lifestyle and give valid intake data.
To develop a mobile phone app and evaluate its ability to assess energy intake (EI) and total energy expenditure (TEE) compared with objectively measured TEE. Furthermore, to investigate the impact of factors on reporting accuracy of EI, and to compare dietary intake with a Web-based method.
Participants 14 to 16 years of age were recruited from year nine in schools in Gothenburg, Sweden. In total, 81 adolescents used the mobile phone app over 1 to 6 days. TEE was measured with the SenseWear Armband (SWA) during the same or proximate days. Individual factors were assessed with a questionnaire. A total of 15 participants also recorded dietary intake using a Web-based method.
The mobile phone app underestimated EI by 29% on a group level (P<.001) compared to TEE measured with the SWA, and there was no significant correlation between EI and TEE. Accuracy of EI relative to TEE increased with a weekend day in the record (P=.007) and lower BMI z-score (P=.001). TEE assessed with the mobile phone app was 1.19 times the value of TEE measured by the SWA on a group level (P<.001), and the correlation between the methods was .75 (P<.001). Analysis of physical activity levels (PAL) from the mobile phone app stratified by gender showed that accuracy of the mobile phone app was higher among boys. EI, nutrients, and food groups assessed with the mobile phone app and Web-based method among 15 participants were not significantly different and several were significantly correlated, but strong conclusions cannot be drawn due to the low number of participants.
By using a mobile phone dietary assessment app, on average 71% of adolescents' EI was captured. The accuracy of reported dietary intake was higher with lower BMI z-score and if a weekend day was included in the record. The daily question in the mobile phone app about physical activity could accurately rank the participants' TEE.
目前非常需要适合青少年生活方式且能提供有效摄入量数据的膳食评估方法。
开发一款手机应用程序，评估其与客观测量的总能量消耗（TEE）相比评估能量摄入（EI）和总能量消耗（TEE）的能力。此外，研究影响 EI 报告准确性的因素，并将膳食摄入量与基于网络的方法进行比较。
从瑞典哥德堡的学校 9 年级招募了 14 至 16 岁的参与者。共有 81 名青少年在 1 至 6 天内使用手机应用程序。TEE 在同一或相近日期使用 SenseWear 臂带（SWA）进行测量。个体因素通过问卷调查进行评估。共有 15 名参与者还使用基于网络的方法记录了膳食摄入量。
与 SWA 测量的 TEE 相比，手机应用程序在组水平上低估了 EI 29%（P<.001），并且 EI 与 TEE 之间没有显著相关性。记录中的周末天数（P=.007）和较低的 BMI z 分数（P=.001）越多，EI 相对于 TEE 的准确性越高。手机应用程序评估的 TEE 在组水平上是 SWA 测量的 TEE 的 1.19 倍（P<.001），两种方法之间的相关性为.75（P<.001）。按性别对手机应用程序的体力活动水平（PAL）进行分层分析表明，手机应用程序的准确性在男孩中更高。使用手机应用程序和基于网络的方法评估的 EI、营养素和食物组在 15 名参与者中没有显著差异，并且有几个存在显著相关性，但由于参与者人数较少，因此无法得出强有力的结论。
使用手机膳食评估应用程序，平均可捕获 71%的青少年 EI。报告的膳食摄入量的准确性随着 BMI z 分数的降低和记录中包含周末天数而提高。手机应用程序中的每日活动问题可以准确地对参与者的 TEE 进行排名。
