Evaluation of Acceptability, Functionality, and Validity of a Passive Image-Based Dietary Intake Assessment Method in Adults and Children of Ghanaian and Kenyan Origin Living in London, UK.

Evaluation of Acceptability, Functionality, and Validity of a Passive Image-Based Dietary Intake Assessment Method in Adults and Children of Ghanaian and Kenyan Origin Living in London, UK.
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DOI:
10.3390/nu15184075
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发表时间:
2023-09-20
期刊:
影响因子:
5.9
通讯作者:
Frost G
Frost G
中科院分区:
医学2区
文献类型:
--
作者:
Jobarteh ML;McCrory MA;Lo B;Triantafyllidis KK;Qiu J;Griffin JP;Sazonov E;Sun M;Jia W;Baranowski T;Anderson AK;Maitland K;Frost G

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背景:准确估计膳食摄入量具有挑战性。然而,尽管高收入国家取得了一些进展,但中低收入国家仍然落后,导致了严重的营养数据缺口。本研究旨在验证一种客观的、被动的基于图像的饮食摄入评估方法,该方法与英国伦敦的称重食物记录相对照,以进一步部署到LMIC。研究方法:研究人员使用可穿戴式摄像设备拍摄了居住在伦敦的18名加纳和肯尼亚裔成年人和17名儿童在进食时的食物摄入量。参与者被提供预先称重的加纳和肯尼亚美食和相机设备,以自动捕捉饮食场合的图像。食物图像进行了评估的部分大小,能量,营养素摄入量,和相对有效性的方法相比,称重的食物记录。结果如下:食物、能量和19种营养素摄入量的皮尔逊相关系数和组内相关系数分别为0.60 ~ 0.95和0.67 ~ 0.90。Bland-Altman分析显示基于图像的方法与称重食物记录之间具有良好的一致性。基于图像的方法对膳食摄入量的低估率为4%至23%。结论:被动食物图像采集和分析提供了一个客观的评估饮食摄入量的称重食物记录。
Background: Accurate estimation of dietary intake is challenging. However, whilst some progress has been made in high-income countries, low- and middle-income countries (LMICs) remain behind, contributing to critical nutritional data gaps. This study aimed to validate an objective, passive image-based dietary intake assessment method against weighed food records in London, UK, for onward deployment to LMICs. Methods: Wearable camera devices were used to capture food intake on eating occasions in 18 adults and 17 children of Ghanaian and Kenyan origin living in London. Participants were provided pre-weighed meals of Ghanaian and Kenyan cuisine and camera devices to automatically capture images of the eating occasions. Food images were assessed for portion size, energy, nutrient intake, and the relative validity of the method compared to the weighed food records. Results: The Pearson and Intraclass correlation coefficients of estimates of intakes of food, energy, and 19 nutrients ranged from 0.60 to 0.95 and 0.67 to 0.90, respectively. Bland–Altman analysis showed good agreement between the image-based method and the weighed food record. Under-estimation of dietary intake by the image-based method ranged from 4 to 23%. Conclusions: Passive food image capture and analysis provides an objective assessment of dietary intake comparable to weighed food records.
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