开发和评价食品照片系列软件的份量估计在城市北印度成年人

IF 0.7 Q4 NUTRITION & DIETETICS

Mediterranean Journal of Nutrition and Metabolism Pub Date : 2023-09-30 DOI:10.3233/mnm-230039

Vidisha Sharma, Ravinder Chadha

{"title":"开发和评价食品照片系列软件的份量估计在城市北印度成年人","authors":"Vidisha Sharma, Ravinder Chadha","doi":"10.3233/mnm-230039","DOIUrl":null,"url":null,"abstract":"BACKGROUND: Accurate population specific aids are needed for food portion size estimation in diet assessment. OBJECTIVE: To develop and evaluate a food photograph series software for accurate portion size estimation among urban North Indian adults. METHODS: A preliminary food consumption survey was conducted on 60 adults (25–60 years, male = female = 30) selected purposively from urban Delhi. A range of portion sizes of commonly consumed food items were standardized and photographed at 45 degree angle. An online portion size estimation tool was developed comprising data on 368 recipes and photographs for 313 food items. Real time (part A) and recalled estimation after 24 hours (part B) was done for pre-weighed food portions by participants (n = 30, 25–60 years, male = female = 15) using the software. RESULTS: The % mean relative error in estimation of 24 pre-weighed food portions was –5±22.61% and 13.07±53.22% for parts A and B respectively. Significant correlation between actual and estimated food portions was observed (r > 0.90, p < 0.0001). Correct picture was selected by participants in≥60% estimations while correct or adjacent picture was selected in≥89% estimations. CONCLUSIONS: The software is a useful aid for dietitians and other nutrition professionals for accurate portion size estimation among urban North Indian adults.","PeriodicalId":18424,"journal":{"name":"Mediterranean Journal of Nutrition and Metabolism","volume":"28 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and evaluation of food photograph series software for portion size estimation among urban North Indian adults\",\"authors\":\"Vidisha Sharma, Ravinder Chadha\",\"doi\":\"10.3233/mnm-230039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND: Accurate population specific aids are needed for food portion size estimation in diet assessment. OBJECTIVE: To develop and evaluate a food photograph series software for accurate portion size estimation among urban North Indian adults. METHODS: A preliminary food consumption survey was conducted on 60 adults (25–60 years, male = female = 30) selected purposively from urban Delhi. A range of portion sizes of commonly consumed food items were standardized and photographed at 45 degree angle. An online portion size estimation tool was developed comprising data on 368 recipes and photographs for 313 food items. Real time (part A) and recalled estimation after 24 hours (part B) was done for pre-weighed food portions by participants (n = 30, 25–60 years, male = female = 15) using the software. RESULTS: The % mean relative error in estimation of 24 pre-weighed food portions was –5±22.61% and 13.07±53.22% for parts A and B respectively. Significant correlation between actual and estimated food portions was observed (r > 0.90, p < 0.0001). Correct picture was selected by participants in≥60% estimations while correct or adjacent picture was selected in≥89% estimations. CONCLUSIONS: The software is a useful aid for dietitians and other nutrition professionals for accurate portion size estimation among urban North Indian adults.\",\"PeriodicalId\":18424,\"journal\":{\"name\":\"Mediterranean Journal of Nutrition and Metabolism\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mediterranean Journal of Nutrition and Metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/mnm-230039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mediterranean Journal of Nutrition and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/mnm-230039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}

引用次数: 0

摘要

背景:在饮食评估中需要准确的人群特异性辅助工具来估计食物份量。目的:开发和评估食物照片系列软件，以准确估计北印度城市成年人的份量。方法:对从德里市区选定的60名成人(25-60岁，男=女= 30)进行初步食品消费调查。一系列常见食物的份量被标准化，并以45度角拍摄。开发了一个在线份量估计工具，其中包括368份食谱和313种食物的照片数据。参与者(n = 30, 25-60岁，男性=女性= 15)使用该软件对预先称重的食物分量进行了实时(A部分)和24小时后的回忆估计(B部分)。结果:A、B两部分24种预称重食物分量的平均相对误差分别为-5±22.61%和13.07±53.22%。实际食物分量和估计食物分量之间存在显著相关性(r >0.90, p <0.0001)。被试选择正确图片的估计率≥60%，选择正确或邻近图片的估计率≥89%。结论:该软件对营养学家和其他营养专业人员准确估计北印度城市成年人的份量是一个有用的帮助。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Development and evaluation of food photograph series software for portion size estimation among urban North Indian adults

BACKGROUND: Accurate population specific aids are needed for food portion size estimation in diet assessment. OBJECTIVE: To develop and evaluate a food photograph series software for accurate portion size estimation among urban North Indian adults. METHODS: A preliminary food consumption survey was conducted on 60 adults (25–60 years, male = female = 30) selected purposively from urban Delhi. A range of portion sizes of commonly consumed food items were standardized and photographed at 45 degree angle. An online portion size estimation tool was developed comprising data on 368 recipes and photographs for 313 food items. Real time (part A) and recalled estimation after 24 hours (part B) was done for pre-weighed food portions by participants (n = 30, 25–60 years, male = female = 15) using the software. RESULTS: The % mean relative error in estimation of 24 pre-weighed food portions was –5±22.61% and 13.07±53.22% for parts A and B respectively. Significant correlation between actual and estimated food portions was observed (r > 0.90, p < 0.0001). Correct picture was selected by participants in≥60% estimations while correct or adjacent picture was selected in≥89% estimations. CONCLUSIONS: The software is a useful aid for dietitians and other nutrition professionals for accurate portion size estimation among urban North Indian adults.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Mediterranean Journal of Nutrition and Metabolism NUTRITION & DIETETICS-

CiteScore

1.70

自引率

9.10%

发文量

期刊介绍： The Mediterranean Journal of Nutrition and Metabolism publishes original scientific papers on metabolism, including diabesity and eating disorders; nutrition (epidemiological, basic, clinical and artificial); dietary and nutritional practices and management and their impact on health from prevention to treatment. The journal hosts the proceedings of relevant congresses and presents shorter notices focused on the original character of the Mediterranean nutritional civilisation. In addition, this journal is intended as a platform for scientific debate and knowledge-sharing among students and clinical practitioners, and between them and the broader scientific community, and finally as a tool for promoting and enhancing scientific cooperation.