The international food unit: a new measurement aid that can improve portion size estimation

被引:19
|
作者
Bucher, T. [1 ,2 ]
Weltert, M. [1 ,2 ]
Rollo, M. E. [2 ]
Smith, S. P. [3 ]
Jia, W. [4 ]
Collins, C. E. [2 ]
Sun, M. [4 ]
机构
[1] Swiss Fed Inst Technol, Dept Hlth Sci & Technol, Univ Str 16, CH-8092 Zurich, Switzerland
[2] Univ Newcastle, Fac Hlth & Med, Prior Res Ctr Phys Act & Nutr, Newcastle, NSW, Australia
[3] Univ Newcastle, Sch Elect Engn & Comp, Newcastle, NSW, Australia
[4] Univ Pittsburgh, Dept Neurosurg, Pittsburgh, PA USA
基金
瑞士国家科学基金会; 美国国家卫生研究院;
关键词
Portion size measurement aid; PSMA; PSEM; Volume and capacity training; Standardisation; Dietary assessment; Food shape; Automated food volume recognition; Food intake reporting; ENERGY-INTAKE; OVERWEIGHT MEN; NORMAL-WEIGHT; PHOTOGRAPHS; ACCURACY; INCREASE; CHILDREN;
D O I
10.1186/s12966-017-0583-y
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: Portion size education tools, aids and interventions can be effective in helping prevent weight gain. However consumers have difficulties in estimating food portion sizes and are confused by inconsistencies in measurement units and terminologies currently used. Visual cues are an important mediator of portion size estimation, but standardized measurement units are required. In the current study, we present a new food volume estimation tool and test the ability of young adults to accurately quantify food volumes. The International Food Unit (TM) (IFU (TM)) is a 4x4x4 cm cube (64cm(3)), subdivided into eight 2 cm sub-cubes for estimating smaller food volumes. Compared with currently used measures such as cups and spoons, the IFU (TM) standardizes estimation of food volumes with metric measures. The IFU (TM) design is based on binary dimensional increments and the cubic shape facilitates portion size education and training, memory and recall, and computer processing which is binary in nature. Methods: The performance of the IFU (TM) was tested in a randomized between-subject experiment (n = 128 adults, 66 men) that estimated volumes of 17 foods using four methods; the IFU (TM) cube, a deformable modelling clay cube, a household measuring cup or no aid (weight estimation). Estimation errors were compared between groups using Kruskall-Wallis tests and post-hoc comparisons. Results: Estimation errors differed significantly between groups (H(3) = 28.48, p<.001). The volume estimations were most accurate in the group using the IFU (TM) cube (Mdn = 18.9%, IQR = 50.2) and least accurate using the measuring cup (Mdn = 87.7%, IQR = 56.1). The modelling clay cube led to a median error of 44.8% (IQR = 41.9). Compared with the measuring cup, the estimation errors using the IFU (TM) were significantly smaller for 12 food portions and similar for 5 food portions. Weight estimation was associated with a median error of 23.5% (IQR = 79.8). Conclusions: The IFU (TM) improves volume estimation accuracy compared to other methods. The cubic shape was perceived as favourable, with subdivision and multiplication facilitating volume estimation. Further studies should investigate whether the IFU (TM) can facilitate portion size training and whether portion size education using the IFU (TM) is effective and sustainable without the aid. A 3-dimensional IFU (TM) could serve as a reference object for estimating food volume.
引用
收藏
页数:11
相关论文
共 29 条
  • [21] Equivalence-Based Instruction to Improve Portion-Size Estimation with Different Vessels
    Vladescu, Jason C.
    Marano, Kathleen E.
    Reeve, Kenneth F.
    PSYCHOLOGICAL RECORD, 2021, 71 (01): : 179 - 188
  • [22] Uncertainty in Intake Due to Portion Size Estimation in 24-Hour Recalls Varies Between Food Groups
    Souverein, Olga W.
    de Boer, Waldo J.
    Geelen, Anouk
    van der Voet, Hilko
    de Vries, Jeanne H.
    Feinberg, Max
    van 't Veer, Pieter
    JOURNAL OF NUTRITION, 2011, 141 (07): : 1396 - 1401
  • [23] Children's accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen
    Baranowski, Tom
    Baranowski, Janice C.
    Watson, Kathleen B.
    Martin, Shelby
    Beltran, Alicia
    Islam, Noemi
    Dadabhoy, Hafza
    Adame, Su-heyla
    Cullen, Karen
    Thompson, Debbe
    Buday, Richard
    Subar, Amy
    PUBLIC HEALTH NUTRITION, 2011, 14 (03) : 418 - 425
  • [24] A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
    Jennifer Bradley
    Maisie K. Rowland
    John N. S. Matthews
    Ashley J. Adamson
    Suzanne Spence
    BMC Nutrition, 7
  • [25] A comparison of food portion size estimation methods among 11-12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
    Bradley, Jennifer
    Rowland, Maisie K.
    Matthews, John N. S.
    Adamson, Ashley J.
    Spence, Suzanne
    BMC NUTRITION, 2021, 7 (01)
  • [26] Computerized Portion-Size Estimation Compared to Multiple 24-Hour Dietary Recalls for Measurement of Fat, Fruit, and Vegetable Intake in Overweight Adults
    Toobert, Deborah J.
    Strycker, Lisa A.
    Hampson, Sarah E.
    Westling, Erika
    Christiansen, Steven M.
    Hurley, Thomas G.
    Hebert, James R.
    JOURNAL OF THE AMERICAN DIETETIC ASSOCIATION, 2011, 111 (10) : 1578 - 1583
  • [27] FOODCAM: A Novel Structured Light-Stereo Imaging System for Food Portion Size Estimation
    Raju, Viprav B.
    Sazonov, Edward
    SENSORS, 2022, 22 (09)
  • [28] Distortion Correction in Wide-Angle Images for Picture-Based Food Portion Size Estimation
    Li, Zhaoxin
    Sun, Mingui
    Chen, Hsin-Chen
    Li, Jie
    Wang, Kuanquan
    Jia, Wenyan
    2012 38TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE (NEBEC), 2012, : 424 - +
  • [29] Validation of a novel image-weighed technique for monitoring food intake and estimation of portion size in hospital settings: a pilot study
    Ofei, Kwabena T.
    Mikkelsen, Bent E.
    Scheller, Rudolf A.
    PUBLIC HEALTH NUTRITION, 2019, 22 (07) : 1203 - 1208