Kaimeng Kong1,2, Lulu Zhang1,2, Lisu Huang3, Yexuan Tao4,2. 1. Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 2. Shanghai Key Laboratory of Children Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 3. MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 4. Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Email: taoyx@163.com.
Abstract
BACKGROUND AND OBJECTIVES: Image-assisted dietary assessment methods are frequently used to record individual eating habits. This study tested the validity of a smartphone-based photographic food recording approach by comparing the results obtained with those of a weighed food record. We also assessed the practicality of the method by using it to measure the energy and nutrient intake of college students. METHODS AND STUDY DESIGN: The experiment was implemented in two phases, each lasting 2 weeks. In the first phase, a labelled menu and a photograph database were constructed. The energy and nutrient content of 31 randomly selected dishes in three different portion sizes were then estimated by the photograph-based method and compared with a weighed food record. In the second phase, we combined the smartphone-based photographic method with the WeChat smartphone application and applied this to 120 randomly selected participants to record their energy and nutrient intake. RESULTS: The Pearson correlation coefficients for energy, protein, fat, and carbohydrate content between the weighed and the photographic food record were 0.997, 0.936, 0.996, and 0.999, respectively. Bland-Altman plots showed good agreement between the two methods. The estimated protein, fat, and carbohydrate intake by participants was in accordance with values in the Chinese Residents' Nutrition and Chronic Disease report (2015). Participants expressed satisfaction with the new approach and the compliance rate was 97.5%. CONCLUSIONS: The smartphone-based photographic dietary assessment method combined with the WeChat instant messaging application was effective and practical for use by young people.
BACKGROUND AND OBJECTIVES: Image-assisted dietary assessment methods are frequently used to record individual eating habits. This study tested the validity of a smartphone-based photographic food recording approach by comparing the results obtained with those of a weighed food record. We also assessed the practicality of the method by using it to measure the energy and nutrient intake of college students. METHODS AND STUDY DESIGN: The experiment was implemented in two phases, each lasting 2 weeks. In the first phase, a labelled menu and a photograph database were constructed. The energy and nutrient content of 31 randomly selected dishes in three different portion sizes were then estimated by the photograph-based method and compared with a weighed food record. In the second phase, we combined the smartphone-based photographic method with the WeChat smartphone application and applied this to 120 randomly selected participants to record their energy and nutrient intake. RESULTS: The Pearson correlation coefficients for energy, protein, fat, and carbohydrate content between the weighed and the photographic food record were 0.997, 0.936, 0.996, and 0.999, respectively. Bland-Altman plots showed good agreement between the two methods. The estimated protein, fat, and carbohydrate intake by participants was in accordance with values in the Chinese Residents' Nutrition and Chronic Disease report (2015). Participants expressed satisfaction with the new approach and the compliance rate was 97.5%. CONCLUSIONS: The smartphone-based photographic dietary assessment method combined with the WeChat instant messaging application was effective and practical for use by young people.
Authors: Zhaoxing Pan; Dan Forjan; Tyson Marden; Jonathan Padia; Tonmoy Ghosh; Delwar Hossain; J Graham Thomas; Megan A McCrory; Edward Sazonov; Janine A Higgins Journal: Front Nutr Date: 2022-06-22
Authors: Louise Thornton; Bridie Osman; Katrina Champion; Olivia Green; Annie B Wescott; Lauren A Gardner; Courtney Stewart; Rachel Visontay; Jesse Whife; Belinda Parmenter; Louise Birrell; Zachary Bryant; Cath Chapman; David Lubans; Tim Slade; John Torous; Maree Teesson; Pepijn Van de Ven Journal: JMIR Mhealth Uhealth Date: 2022-02-17 Impact factor: 4.947