Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals

Fatehah, Ayob Ainaa; Poh, Bee Koon; Shanita, S. Nik; Wong, Jyh Eiin

doi:10.3390/nu10080984

Cited by 21 publications

(24 citation statements)

References 36 publications

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“…Manual coding is very time-consuming, but does shift the burden of summarizing and estimating intakes, a non-trivial source of error, from parents to researchers. However, evaluating the contents of photos is still challenging for researchers, especially when mixed dishes are involved or if total energy is of interest [34]. We limited the foods of interest to a small number and closely monitored inter-rater reliability.…”

Section: Discussionmentioning

confidence: 99%

“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study

Norman

Kjellenberg

Aréchiga

et al. 2020

Nutr J

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Background: Dietary assessment methods that are user-friendly, simple, yet valid are of interest to both researchers and participants, particularly for use in disadvantaged settings, where language barriers and low levels of education are often present. We tested if parents taking photos of what children ate, using mobile phones, would be a feasible, acceptable method that could still provide information with adequate relative validity. Methods: We used a mixed-methods design, with parents of 21 5-to 7-year-olds from disadvantaged areas in Sweden. Parents reported all dietary intake, during non-school hours, on three days (two weekdays) using a photo method (PM). The PM consisted of simple instructions and a fiduciary card, but no training, equipment or software. Text messages could be sent if necessary. As a reference method, parents completed three 24-h recalls (24HRs) with an interviewer each following day. The next week, parents completed a 9-item semi-FFQ regarding the preceding week. The outcomes were intakes (in dl) of 9 food groups, categorised as fruits and vegetables, energy-dense sweet/salty foods, and sweet drinks. Agreement with the reference 24HRs was assessed using correlations, median differences and Bland-Altman plots. Parents completed an open-ended questionnaire on barriers and facilitators. Data collectors provided complementary information. Qualitative data was analysed using qualitative manifest analysis. Results: Nineteen parents (90%) provided complete data. The majority (n = 13) spoke Swedish as a second language, few (n = 4) were proficient. Compared to 24HRs, intakes measured by PM correlated well for all categories (Spearman's rho = 0.609-0.845). However, intakes were underreported, significantly so for fruits and vegetables; Bland-Altman plots indicated that the underestimation was fairly constant across intake levels. When the FFQ was compared to the 24HRs, parameters of agreement were generally inferior than for the PM. Parents found the PM a positive experience, primarily facilitated by its simplicity and familiarity. Barriers, mainly related to time and logistics, can inform further methodological refinements.

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Section: Discussionmentioning

confidence: 99%

“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study

Norman

Kjellenberg

Aréchiga

et al. 2020

Nutr J

View full text Add to dashboard Cite

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“…No families photographed desserts or evening snacks, which may explain why sweets and sugars were reported infrequently in this study. Fourth, the accuracy of image‐based dietary assessments can be limited by the researcher's ability to accurately estimate portion size from food images . This can be particularly challenging for some types of foods, including mixed dishes or layered foods.…”

Section: Discussionmentioning

confidence: 99%

“…Third, parents were asked to photograph "the dinner meal" and "foods and beverages that are part of dinner," but how parents defined "dinner" may have varied across families. No families photographed desserts or evening snacks, which may explain why sweets and sugars were reported infrequently in this study.Fourth, the accuracy of image-based dietary assessments can be limited by the researcher's ability to accurately estimate portion size from food images [47][48][49]. This can be particularly challenging for some types of foods, including mixed dishes or layered foods.…”

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confidence: 99%

Assessing dinner meals offered at home among preschoolers from low‐income families with the Remote Food Photography Method

et al. 2019

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Summary Background The high prevalence of obesity among preschoolers may be partially explained by the type and quantity of foods offered by parents and left unconsumed by preschoolers. Objectives (a) To compare foods offered and consumed at dinner to the Dietary Guidelines for Americans (DGAs) and the Child and Adult Care Food Program (CACFP) standards and (b) to examine the types, quantities, and nutrient composition of foods offered to and consumed by preschoolers and their plate waste. Methods Participants were recruited from six Head Start/preschool centres. The Remote Food Photography Method was used to document dinner meals over 1 week (n = 153 meals). Energy and nutrients for foods offered, consumed, and plate waste were calculated. Foods offered and consumed were compared with the DGAs and CACFP standards. Results Foods and beverages offered at dinner equaled 506 kcal, which is 36% of the DGA‐recommended total daily energy intake. Meals offered and consumed were high in fat and sodium and low in fibre. Adherence to CACFP standards was low for fruits (25%) and milk (2%) and moderate for vegetables (63%). Mean plate waste (29%) was similar across food types. Conclusions Opportunities exist to improve preschoolers' adherence to the DGAs and CACFP standards by enhancing the quality of dinner meals offered to them.

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“…To facilitate this process, image-based dietary assessment has been suggested with the aid of nutrition professionals. It allows users to share their meal images digitally and nutritionists can provide feedback based on the digital images [5,6]. This approach intended to overcome the lack of nutrition knowledge from end-user, but the involvement of nutritionists is not always cost-effective and accessible when requested.…”

Section: Introductionmentioning

confidence: 99%

Quantized Deep Residual Convolutional Neural Network for Image-Based Dietary Assessment

2020

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Vegetable intake is an essential element to maintain a healthy body of a human. However, research shows most people do not consume an adequate intake of vegetables per day. An ameliorate dietary assessment for vegetable intake is needed to increase awareness and assist users to improve their vegetable consumption. In this paper, we proposed a novel Quantized Deep Residual Convolutional Neural Network (DRCNN) model to ameliorate the fundamental task of dietary assessment. The proposed deep learning strategy integrating a deep residual architecture and a deep learning model, i.e. convolutional neural network, to apply for image-based dietary assessment. The proposed DRCNN model is then deeply fused with posttraining quantization techniques to quantize the network weights of the proposed DRCNN model into lowbit fixed-point representations. Extensive experiments have been done to evaluate the proposed model. Results show that the proposed Quantized DRCNN model outperformed the state-of-the-arts, which include the conventional CNN models and also the machine learning models. Those experiments also indicate the effectiveness of the proposed Quantized DRCNN model. Finally, we further evaluate our model with crossdataset validation to verify the generalization of the proposed model. The experimental result proves that the proposed Quantized DRCNN model is general enough to predict unseen cases and it works well on a wide range of food images. INDEX TERMS Convolutional neural network, deep learning, deep residual network, image-based dietary assessment, machine learning, quantized model.

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Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals

Cited by 21 publications

References 36 publications

“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study

“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study

Assessing dinner meals offered at home among preschoolers from low‐income families with the Remote Food Photography Method

Quantized Deep Residual Convolutional Neural Network for Image-Based Dietary Assessment

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