Suppr超能文献

用于食物浪费测量的FoodImage™智能手机应用程序与日记法相比的有效性、时间负担及用户满意度:一项随机交叉试验

The Validity, Time Burden, and User Satisfaction of the FoodImage™ Smartphone App for Food Waste Measurement Versus Diaries: A Randomized Crossover Trial.

作者信息

Roe Brian E, Qi Danyi, Beyl Robbie A, Neubig Karissa E, Martin Corby K, Apolzan John W

机构信息

Department of Agricultural, Environmental and Development Economics, Ohio State Univesity, 2120 Fyffe Road, Columbus, OH 43210 USA.

Department of Agricultural Economics and Agribusiness, Louisiana State University, Martin D. Woodin Hall, Baton Rouge, LA 70802 USA.

出版信息

Resour Conserv Recycl. 2020 Sep;160. doi: 10.1016/j.resconrec.2020.104858. Epub 2020 May 21.

Abstract

The FoodImage™ smartphone app transmits to researchers users' photographs of food selection and food waste, and includes user-tagged information about waste reasons and destination. Twenty-four participants were trained to record food waste using FoodImage, food waste diaries requiring visual estimation of waste quantities, and diaries requiring scale weights. Participants used each method during three staged food-waste scenarios (food preparation, eating, and clean-out) in a randomized crossover trial. Two participants had extreme values for the weighed diary method; therefore, accuracy results are reported with and without these two participants' data. Error was calculated as waste estimated with the experimental method minus directly weighed waste. Mean absolute error from FoodImage was significantly smaller than or equal to the error from both diary methods in each scenario. Furthermore, the mean values from FoodImage were equivalent to directly weighed values in two out of the three tasks; while weighed diaries were equivalent in two tasks only when the two participants with extreme values were removed. Visually estimated diaries were equivalent for only one task. All 24 participants preferred FoodImage to diaries and all rated FoodImage as less time consuming. Over one week, FoodImage would require ~24 fewer minutes of users' time to record all data. Unlike food waste diaries, FoodImage also transmits data to researchers in real-time and provides detailed data on food selection and intake. ClinicalTrials.gov Identifier: NCT03309306.

摘要

FoodImage™智能手机应用程序会将用户选择食物和食物浪费的照片传输给研究人员,并且包含用户标注的关于浪费原因和去向的信息。24名参与者接受了培训,使用FoodImage、需要对浪费量进行视觉估计的食物浪费日记以及需要秤重的日记来记录食物浪费情况。在一项随机交叉试验中,参与者在三个分阶段的食物浪费场景(食物准备、进食和清理)中使用每种方法。两名参与者在称重日记法中出现了极端值;因此,在报告准确性结果时分别包含和不包含这两名参与者的数据。误差计算为用实验方法估计的浪费量减去直接称重的浪费量。在每个场景中,FoodImage的平均绝对误差显著小于或等于两种日记法的误差。此外,在三项任务中的两项中,FoodImage的平均值与直接称重的值相当;而只有在去除两名有极端值的参与者后,称重日记在两项任务中的值才相当。视觉估计日记仅在一项任务中相当。所有24名参与者都更喜欢FoodImage而不是日记,并且所有人都认为FoodImage耗时更少。在一周的时间里,FoodImage记录所有数据所需的用户时间大约少24分钟。与食物浪费日记不同,FoodImage还会实时将数据传输给研究人员,并提供有关食物选择和摄入量的详细数据。临床试验注册号:NCT03309306。

相似文献

4
Comparison of Paper Diaries, Text Messages and Smartphone App to Track Bleeding and Other Symptoms for Contraceptive Studies.
Matern Child Health J. 2022 Jun;26(6):1211-1216. doi: 10.1007/s10995-021-03362-6. Epub 2022 Jan 23.
7
Comparison of an electronic versus traditional food diary for assessing dietary intake-A validation study.
Obes Res Clin Pract. 2017 Nov-Dec;11(6):647-654. doi: 10.1016/j.orcp.2017.04.001. Epub 2017 Apr 15.

引用本文的文献

1
Changes to Fruit and Vegetable Intake and Waste When Households Receive Free Produce.
medRxiv. 2025 Apr 25:2025.04.23.25326258. doi: 10.1101/2025.04.23.25326258.
2
A Randomized Controlled Trial to Address Consumer Food Waste with a Technology-aided Tailored Sustainability Intervention.
Resour Conserv Recycl. 2022 Apr;179. doi: 10.1016/j.resconrec.2021.106121. Epub 2021 Dec 29.

本文引用的文献

1
A validated survey to measure household food waste.
MethodsX. 2019 Oct 31;6:2767-2775. doi: 10.1016/j.mex.2019.10.029. eCollection 2019.
2
Comparing wasted apples and oranges: An assessment of methods to measure household food waste.
Waste Manag. 2019 Apr 1;88:71-84. doi: 10.1016/j.wasman.2019.03.013. Epub 2019 Mar 20.
3
What gets measured gets managed: A new method of measuring household food waste.
Waste Manag. 2018 Jun;76:68-81. doi: 10.1016/j.wasman.2018.03.031. Epub 2018 Mar 22.
4
Plate waste of adults in the United States measured in free-living conditions.
PLoS One. 2018 Feb 14;13(2):e0191813. doi: 10.1371/journal.pone.0191813. eCollection 2018.
5
Missing Food, Missing Data? A Critical Review of Global Food Losses and Food Waste Data.
Environ Sci Technol. 2017 Jun 20;51(12):6618-6633. doi: 10.1021/acs.est.7b00401. Epub 2017 May 26.
6
Energy balance measurement: when something is not better than nothing.
Int J Obes (Lond). 2015 Jul;39(7):1109-13. doi: 10.1038/ijo.2014.199. Epub 2014 Nov 13.
7
Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions.
Am J Clin Nutr. 2013 Jun;97(6):1413-5. doi: 10.3945/ajcn.113.062125.
8
Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time.
Obesity (Silver Spring). 2012 Apr;20(4):891-9. doi: 10.1038/oby.2011.344. Epub 2011 Dec 1.
9
Discussion on the methodology for determining food waste in household waste composition studies.
Waste Manag. 2011 Sep-Oct;31(9-10):1924-33. doi: 10.1016/j.wasman.2011.05.023. Epub 2011 Jun 25.
10
A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method.
Br J Nutr. 2009 Feb;101(3):446-56. doi: 10.1017/S0007114508027438. Epub 2008 Jul 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验