The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers
The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers
复制标题
使用众包进行饮食自我监测：食物图片的众包评级与训练有素的观察员的评级相当
DOI：
10.1136/amiajnl-2014-002636
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
I. Korhonen
中科院分区：
文献类型：
--
作者：
G. Turner;E. Helander;K. Kaipainen;J. Perez;I. Korhonen
客观化
众包食物照片的饮食评级，使用几个用户的输入来提供反馈，具有帮助饮食自我监控的潜力。
材料和方法
这项研究评估了Eatery移动应用程序的450张图片中包含的食品和饮料的众包评分与训练有素的观察者(评价者)对相同图片的评分之间的密切关系。这些图片由同行用户(Eatery应用程序的其他用户)(n=5006人，每张照片平均18.4个同伴评分)进行评分。此外，对每张图片中出现的食品和饮料进行了分类，并按食品/饮料类别检查了对同伴评定量表的影响。评分员接受了培训，按照2010年美国饮食指南中的标准给出了“健康”评分。
结果
所有三位评分者的平均得分与所有照片的同伴健康得分高度相关(r=0.88，p<；0.001)。使用多元线性模型(R(2)=0.73)来检验同伴的健康评分与照片中的食物和饮料之间的关系，同伴的评分是在食品/饮料增加和限制的假设方向上进行的。与水果、蔬菜、全谷物、豆类、坚果和种子的照片(p=0.06)都与较高的同伴健康评分相关，而加工食品(p=0.06)、快餐店食品、精制谷物、红肉、奶酪、美味小吃、糖果/甜点和含糖饮料与较低的同伴健康评分相关。
结论
这些发现表明，众包具有利用低负担的方法向用户提供关于总体饮食质量的基本反馈的潜力。
OBJECTIVE
Crowdsourcing dietary ratings for food photographs, which uses the input of several users to provide feedback, has potential to assist with dietary self-monitoring.
MATERIALS AND METHODS
This study assessed how closely crowdsourced ratings of foods and beverages contained in 450 pictures from the Eatery mobile app as rated by peer users (fellow Eatery app users) (n = 5006 peers, mean 18.4 peer ratings/photo) using a simple 'healthiness' scale were related to the ratings of the same pictures by trained observers (raters). In addition, the foods and beverages present in each picture were categorized and the impact on the peer rating scale by food/beverage category was examined. Raters were trained to provide a 'healthiness' score using criteria from the 2010 US Dietary Guidelines.
RESULTS
The average of all three raters' scores was highly correlated with the peer healthiness score for all photos (r = 0.88, p<0.001). Using a multivariate linear model (R(2) = 0.73) to examine the association of peer healthiness scores with foods and beverages present in photos, peer ratings were in the hypothesized direction for both foods/beverages to increase and ones to limit. Photos with fruit, vegetables, whole grains, and legumes, nuts, and seeds (borderline at p = 0.06) were all associated with higher peer healthiness scores, and processed foods (borderline at p = 0.06), food from fast food restaurants, refined grains, red meat, cheese, savory snacks, sweets/desserts, and sugar-sweetened beverages were associated with lower peer healthiness scores.
CONCLUSIONS
The findings suggest that crowdsourcing holds potential to provide basic feedback on overall diet quality to users utilizing a low burden approach.
影响因子：
3.6
作者：
Martin, Corby K.;Han, Hongmei;Coulon, Sandra M.;Allen, H. Raymond;Champagne, Catherine M.;Anton, Stephen D.
通讯作者：
Anton, Stephen D.
影响因子：
--
作者：
Burke LE;Wang J;Sevick MA
通讯作者：
Sevick MA
影响因子：
--
作者：
Yon, Bethany Ann;Johnson, Rachel K.;Gold, Beth Casey
通讯作者：
Gold, Beth Casey