Article
Psychology, Multidisciplinary
Kalina Duszka, Markus Hechenberger, Irene Dolak, Deni Kobiljak, Juergen Koenig
Summary: Portion sizes of meals have been increasing and this is related to the onset of obesity. Little research has been done on the influence of body weight on portion size preferences. Factors such as gender, age, hunger, and eating behaviors contribute to portion size choices.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Viprav B. Raju, Delwar Hossain, Edward Sazonov
Summary: In this article, a wearable sensor system and method are proposed for estimating the dimensions of plates and bowls, eliminating the need for fiducial markers and allowing for assessment of container dimensions with minimum user interaction.
IEEE SENSORS JOURNAL
(2023)
Review
Engineering, Electrical & Electronic
Viprav B. Raju, Edward Sazonov
Summary: This article presents a comprehensive review of sensor methodologies for food portion size estimation, identifying a taxonomy for sensor-based methods, conducting a novel review of state-of-the-art sensor modalities, and assessing the accuracy and applicability of these methods in free-living conditions.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Viprav B. Raju, Edward Sazonov
Summary: This paper proposes a novel device called FOODCAM and an associated methodology for estimating food portion sizes without the need for dimensional reference. The device was able to accurately estimate food portion sizes and has the potential for application in diet and eating behavior studies.
Article
Nutrition & Dietetics
Nana Shinozaki, Kentaro Murakami, Keiko Asakura, Shizuko Masayasu, Satoshi Sasaki
Summary: This study developed a digital photographic food atlas to aid in estimating portion sizes of commonly consumed foods. The atlas includes a series of photographs and guide photographs for various food items, with a total of 209 food and dish items covered.
Article
Nutrition & Dietetics
Sondos M. Flieh, Maria L. Miguel-Berges, Esther M. Gonzalez-Gil, Frederic Gottrand, Laura Censi, Kurt Widhalm, Yannis Manios, Anthony Kafatos, Denes Molnar, Jean Dallongeville, Peter Stehle, Marcela Gonzalez-Gross, Ascension Marcos, Stefaan De Henauw, Cristina Molina-Hidalgo, Inge Huybrechts, Luis A. Moreno
Summary: The study found an association between portion sizes of energy-dense foods and obesity in European adolescents. In males, consuming breakfast cereals and carbonated soft drinks was associated with higher BMI, while in females, consuming bread and rolls was associated with higher probability of obesity. Eating sweet bakery products was linked to a lower probability of obesity in females.
Article
Nutrition & Dietetics
Sondos M. Flieh, Maria L. Miguel-Berges, Inge Huybrechts, Christina Breidenassel, Evangelia Grammatikaki, Cinzia Le Donne, Yannis Manios, Kurt Widhalm, Denes Molnar, Peter Stehle, Anthony Kafatos, Jean Dallongeville, Cristina Molina-Hidalgo, Sonia Gomez-Martinez, Marcela Gonzalez-Gross, Stefaan De Henauw, Laurent Beghin, Mathilde Kersting, Luis A. Moreno, Esther M. Gonzalez-Gil
Summary: This study aimed to investigate the associations between portion sizes (PSs) from different food groups and energy, as well as nutrient intakes in European adolescents. The results showed that energy intake increased with elevated intakes of energy-dense foods. Larger portions of certain food groups were associated with increased intake of specific nutrients. Conversely, larger portions of high energy-dense foods were associated with lower intake of vitamins and micronutrients. These findings have implications for future dietary guidance and targeted strategies to address nutrient intakes in European adolescents.
Article
Nutrition & Dietetics
Dang Khanh Ngan Ho, Wan-Chun Chiu, Yu-Chieh Lee, Hsiu-Yueh Su, Chun-Chao Chang, Chih-Yuan Yao, Kai-Lung Hua, Hung-Kuo Chu, Chien-Yeh Hsu, Jung-Su Chang
Summary: The study showed that there were no significant differences between IBDA and RFVE in terms of food identification and quantification. Repeated IBDA training significantly improved students' image-viewing skills and reduced estimated errors, leading to improved accuracy in food portion size estimates. The integration of IBDA into dietetic courses has the potential to enhance students' knowledge and skills in e-dietetics.
Article
Computer Science, Interdisciplinary Applications
Meng Chun Lam, Nur Afyfah Suwadi, Adibah Huda Mohd Zainul Arifien, Bee Koon Poh, Nik Shanita Safii, Jyh Eiin Wong
Summary: Food portion size estimation is a critical task in dietary assessment, and augmented reality technology, specifically the VAPS application, has been developed to aid in this process. The VAPS app allows users to estimate portion sizes by presenting 3D food models in an AR environment. While the health science group performed faster in task completion, both health science and non-health science groups displayed equivalent accuracy in food portion estimation using VAPS.
Article
Nutrition & Dietetics
Rochelle Embling, Menna J. Price, Michelle D. Lee, Alex Jones, Laura L. Wilkinson
Summary: The study explores the relationship between dietary variety and body weight, considering energy density and portion size as moderating and mediating factors. Analysis of data from the UK Biobank shows a negative association between dietary variety and body weight outcomes at baseline. Although dietary variety is associated with larger portions, there is no evidence of a moderated mediation effect. These findings provide population-level evidence supporting the positive association between variety and food intake, which has implications for body weight management and diet quality.
BRITISH JOURNAL OF NUTRITION
(2023)
Article
Food Science & Technology
Aimee E. Pink, Bobby K. Cheon
Summary: The study aimed to develop and test valid measures of portion size, finding that average liking of foods and cognitive restraint are important predictors, simplified PSTs can effectively estimate ideal portion size, and there is significant agreement between simplified PSTs and standard PST.
Article
Cardiac & Cardiovascular Systems
S. M. Flieh, M. L. Miguel-Berges, I Huybrechts, M. J. Castillo, M. Gonzalez-Gross, A. Marcos, F. Gottrand, C. Le Donne, K. Widhalm, D. Molnar, P. Stehle, A. Kafatos, J. Dallongeville, E. Gesteiro, S. Abbeddou, L. A. Moreno, E. M. Gonzalez-Gil
Summary: The study found associations between larger portion sizes of vegetables and dairy products with higher VO2 max, while larger portion sizes of margarines and vegetable oils were associated with lower VO2 max. Additionally, larger portion sizes of certain food groups were linked to higher metabolic risk scores.
NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
(2022)
Article
Behavioral Sciences
John W. Long, Sara J. Pritschet, Kathleen L. Keller, Charissa S. L. Cheah, Lee Boot, Alexander Klippel, Timothy R. Brick, Caitlyn G. Edwards, Barbara J. Rolls, Travis D. Masterson
Summary: This study aimed to validate the use of immersive virtual reality (iVR) buffet for studying eating behavior. By manipulating portion size, it was found that portion size significantly affected food selection and intake in both iVR and lab settings.
Article
Public, Environmental & Occupational Health
Ursula Trubswasser, Elise F. Talsma, Selamawit Ekubay, Maartje P. Poelman, Michelle Holdsworth, Edith J. M. Feskens, Kaleab Baye
Summary: The study found a high prevalence of food and drink advertisements around urban schools in Ethiopia, mainly for ultra-processed foods, but adolescents had poor dietary diversity and consumed unhealthy foods. Adolescents from higher asset households had higher dietary diversity, but there was no direct association between the food environment and dietary indicators or BMI status.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Nutrition & Dietetics
Desiree A. Lucassen, Romy F. Willemsen, Anouk Geelen, Elske M. Brouwer-Brolsma, Edith J. M. Feskens
Summary: The study assessed the accuracy of portion size estimation by IB-PSE and TB-PSE. Results showed a median relative error of 0% for TB-PSE and 6% for IB-PSE. TB-PSE had a better performance compared to IB-PSE in terms of reported portion sizes within 10% and 25% of true intake.
JOURNAL OF HUMAN NUTRITION AND DIETETICS
(2021)
Article
Nutrition & Dietetics
Luotao Lin, Jiaqi Guo, Marah M. Aqeel, Saul B. Gelfand, Edward J. Delp, Anindya Bhadra, Elizabeth A. Richards, Erin Hennessy, Heather A. Eicher-Miller
Summary: This study analyzed the diet and physical activity of US adults and applied the temporal sequence to patterns of health status indicators. The results showed that the joint temporal pattern of diet and physical activity had significant associations with BMI, waist circumference, total cholesterol, and obesity.
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2022)
Article
Nutrition & Dietetics
Clare Whitton, Janelle D. Healy, Satvinder S. Dhaliwal, Charlene Shoneye, Amelia J. Harray, Barbara A. Mullan, Joanne A. McVeigh, Carol J. Boushey, Deborah A. Kerr
Summary: Improving dietary reporting among people living with obesity is challenging due to various factors that affect reporting accuracy. This study found that higher BMI and a greater need for social approval were associated with lower likelihood of reporting accurate dietary intake. In addition, reactive reporting during the measurement process should be taken into consideration.
BRITISH JOURNAL OF NUTRITION
(2023)
Article
Chemistry, Applied
Kim M. Yonemori, Lorelei Zuccarelli, Loic Le Marchand, Fengqing M. Zhu, Deborah Kerr, Carol J. Boushey
Summary: This study examined the differences in frequency of eating and temporal patterns associated with time of eating between participants using a mobile food record (mFR) and those using a paper-based dietary record (DR). The results showed that participants using the mFR were less likely to report eating occasions occurring on quarter hours compared to those using the DR.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Education, Scientific Disciplines
Jennifer N. Baldwin, Rebecca L. Haslam, Erin Clarke, John Attia, Melinda J. Hutchesson, Megan E. Rollo, Robin Callister, Tracy Burrows, Helen Truby, Tracy A. McCaffrey, Leanne Hides, Billie Bonevski, Deborah A. Kerr, Sharon Kirkpatrick, Clare E. Collins
Summary: The study found that diet quality in young adults is influenced by perceived competence, habit automaticity, and self-determined motivation. Higher levels of these factors are associated with healthier eating habits, highlighting the importance of interventions that promote healthy eating habits.
JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR
(2022)
Article
Nutrition & Dietetics
Marie K. Fialkowski, Jessie Kai, Christina Young, Gemady Langfelder, Jacqueline Ng-Osorio, Zeman Shao, Fengqing Zhu, Deborah A. Kerr, Carol J. Boushey
Summary: The study aimed to evaluate the feasibility and usability of surrogate reporters using an image-based mobile food record to track infants' diets. Findings showed that the majority of surrogate reporters were able to use the tool to accurately record infants' eating occasions, with a high quality of submitted images.
Article
Nutrition & Dietetics
Luotao Lin, Fengqing Zhu, Edward J. Delp, Heather A. Eicher-Miller
Summary: This study aimed to identify the most commonly consumed food items and those contributing most to total energy intake among different groups, finding that individuals reporting taking insulin tend to consume more protein foods and less soft drinks compared to the other two groups.
Article
Environmental Sciences
Lydia Abady, Janos Horvath, Benedetta Tondi, Edward J. Delp, Mauro Barni
Summary: This study describes several methods for the generation and synthesis of satellite images, including full image modification and local splicing. By utilizing deep learning techniques, these methods are able to generate highly realistic synthetic satellite images, which can be used for the evaluation and training of satellite image analysis tools.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Fu-Chen Chen, Abhishek Subedi, Mohammad R. Jahanshahi, David R. Johnson, Edward J. Delp
Summary: Floods are a common and devastating natural disaster that cause significant economic losses and human casualties worldwide. This study proposes a laborless and financially feasible framework that utilizes deep learning and Google Street View images to collect building attribute data and estimate various attributes, such as foundation height, type, building type, and number of stories. The framework achieves accurate results and can predict attributes for a large number of buildings in a short amount of time.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Review
Nutrition & Dietetics
Charlene L. Shoneye, Dominika Kwasnicka, Barbara Mullan, Christina M. Pollard, Carol J. Boushey, Deborah A. Kerr
Summary: This study systematically reviewed the dietary assessment methods in digital weight loss interventions and found the heterogeneity in these methods may explain the range of outcomes. Most digital dietary feedback focused on reducing energy intake without providing feedback to enhance diet quality.
JOURNAL OF HUMAN NUTRITION AND DIETETICS
(2023)
Article
Nutrition & Dietetics
Amelia J. Harray, Carol J. Boushey, Christina M. Pollard, Satvinder S. Dhaliwal, Syed Aqif Mukhtar, Edward J. Delp, Deborah A. Kerr
Summary: This study developed a theoretically derived Healthy and Sustainable Diet Index (HSDI), providing a new reference standard to assess adherence to a healthy and sustainable diet. The research found that participants who consumed meat were less likely to eat vegetables, while those who consumed non-animal protein foods were more likely to consume fruits, vegetables, and dairy products.
Article
Plant Sciences
Valerian Meline, Denise L. Caldwell, Bong-Suk Kim, Rajdeep S. Khangura, Sriram Baireddy, Changye Yang, Erin E. Sparks, Brian Dilkes, Edward J. Delp, Anjali S. Iyer-Pascuzzi
Summary: A major challenge in global crop production is mitigating yield loss due to plant diseases. One of the best strategies to control these losses is through breeding for disease resistance. Image-based, non-destructive measurements of plant morphology after pathogen infection can capture subtle quantitative differences between genotypes and enable the identification of new disease resistance loci. This study on tomato plants infected with a soilborne pathogen found that image-based phenotyping allows earlier detection of disease and identifies new genetic components of resistance compared to human assessment.
Review
Food Science & Technology
Judi Porter, Nathan Cook, Ranil Coorey, Don Gunasekera, Martin Hensher, Deborah A. Kerr, Christina M. Pollard, Serene Yoong, Gary Dykes, Mark Lawrence
Summary: This review examines studies on new or innovative food, drink, and snack products in health and aged care, as well as their health and environmental sustainability considerations. The findings suggest that there is a convergence between food industry suppliers and food services in hospitals and aged care facilities, which could lead to transformative effects for both sectors.
Article
Nutrition & Dietetics
Liyuwork Mitiku Dana, Janine Wright, Rebecca Ward, Jaya A. R. Dantas, Satvinder S. S. Dhaliwal, Blake Lawrence, Moira O'Connor, Sue Booth, Deborah A. A. Kerr, Christina M. M. Pollard
Summary: Food insecurity among university students, especially international students and those with children, increased during the COVID-19 pandemic. Psychological distress and nationality were factors associated with food insecurity. The findings highlight the importance of targeted interventions to mitigate the risk of food insecurity among Australian university students, particularly international students, students with children, and those experiencing psychological distress.
Article
Nutrition & Dietetics
Luotao Lin, Jiangpeng He, Fengqing Zhu, Edward J. Delp, Heather A. Eicher-Miller
Summary: To accurately identify food images, a food image database based on commonly consumed US foods and those contributing the most to energy was developed using a systematic classification structure aligned with the USDA food classification system. Images were mined from the web, annotated, and organized according to food category and subcategory, and then assigned a corresponding USDA food code in order to link the images to nutrient composition in the USDA's database. This database can be used for food identification and dietary assessment.
Article
Computer Science, Information Systems
Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas, Joao P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp
Summary: This paper focuses on the detection of synthetically generated western blot images and presents strategies to accurately detect them. The study shows that even without optimization, synthetic western blot images can be identified with good accuracy. The developed detectors also demonstrate robustness against common post-processing operations on scientific images.