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      Validation of improved 24-hour dietary recall using a portable camera among the Japanese population

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          Abstract

          Background

          The collection of weighed food records (WFR) is a gold standard for dietary assessment. We propose using the 24-h recall method combined with a portable camera and a food atlas (24hR-camera). This combination overcomes the disadvantages of the 24-h dietary recall method. Our study examined the validity of the 24hR-camera method against WFR by comparing the results.

          Methods

          Study subjects were 30 Japanese males, aged 31–58 years, who rarely cook and reside in the Tokyo metropolitan area. For validation, we compared the estimated food intake (24hR-camera method) and weighed food intake (WFR method). The 24hR-camera method uses digital photographs of all food consumed during a day, taken by the subjects, and a 24-h recall questionnaire conducted by a registered dietitian, who estimates food intake by comparing the participant’s photographs with food atlas photographs. The WFR method involves a registered dietitian weighing each food item prepared for the subject to consume and any leftovers. Food intake was calculated for each food group and nutrient using the 24hR-camera vs. weighed methods.

          Results

          Correlation coefficients between the estimated vs. weighed food intake were 0.7 or higher in most food groups but were low in food groups, such as oils, fats, condiments, and spices. The estimated intake of vegetables was significantly lower for the 24hR-camera method compared to the WFR method. For other food groups, the percentages of the mean difference between estimated vs. weighed food intake were -22.1% to 5.5%, with no significant differences between the methods (except for algae, which had a very low estimated intake). The correlation coefficients between the two methods were 0.774 for energy, and 0.855, 0.769, and 0.763 for the macronutrients, proteins, lipids, and carbohydrates, respectively, demonstrating high correlation coefficients: greater than 0.75. The correlation coefficients between the estimated vs. weighed for salt equivalents and potassium intake were 0.583 and 0.560, respectively, but no significant differences in intake were observed.

          Conclusions

          The 24hR-camera method satisfactorily estimated the intake of energy and macronutrients (except salt equivalents and potassium) in Japanese males and was confirmed as a useful method for dietary assessment.

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          Most cited references18

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy12

            NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA’s Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation’s nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review.
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              A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method.

              The aim of the present study was to report the first reliability and validity tests of the remote food photography method (RFPM), which consists of camera-enabled cell phones with data transfer capability. Participants take and transmit photographs of food selection and plate waste to researchers/clinicians for analysis. Following two pilot studies, adult participants (n 52; BMI 20-35 kg/m2 inclusive) were randomly assigned to the dine-in or take-out group. Energy intake (EI) was measured for 3 d. The dine-in group ate lunch and dinner in the laboratory. The take-out group ate lunch in the laboratory and dinner in free-living conditions (participants received a cooler with pre-weighed food that they returned the following morning). EI was measured with the RFPM and by directly weighing foods. The RFPM was tested in laboratory and free-living conditions. Reliability was tested over 3 d and validity was tested by comparing directly weighed EI to EI estimated with the RFPM using Bland-Altman analysis. The RFPM produced reliable EI estimates over 3 d in laboratory (r 0.62; P 0.93; P < 0.0001). In two laboratory-based validity tests, the RFPM underestimated EI by - 4.7 % (P = 0.046) and - 5.5 % (P = 0.076). In free-living conditions, the RFPM underestimated EI by - 6.6 % (P = 0.017). Bias did not differ by body weight or age. The RFPM is a promising new method for accurately measuring the EI of free-living individuals. Error associated with the method is small compared with self-report methods.
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                Author and article information

                Contributors
                ymatsushita@hosp.ncgm.go.jp
                Journal
                Nutr J
                Nutr J
                Nutrition Journal
                BioMed Central (London )
                1475-2891
                15 July 2021
                15 July 2021
                2021
                : 20
                : 68
                Affiliations
                [1 ]Department of Clinical Research, National Cen, ter for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655 Japan
                [2 ]GRID grid.265125.7, ISNI 0000 0004 1762 8507, Department of Nutritional and Health Sciences, Faculty of Food and Nutritional Sciences, , Toyo University, ; 1-1-1 Izumino, Itakura-machi, Ora-gun, Gunma 374-0193 Japan
                [3 ]GRID grid.412153.0, ISNI 0000 0004 1762 0863, Department of Clinical Nutrition, Faculty of Health and Wellness Sciences, , Hiroshima International University, ; 5-1-1 Hirokoshinkai, , Kure city, Hiroshima 737-0112 Japan
                [4 ]GRID grid.419709.2, ISNI 0000 0004 0371 3508, Department of Nutrition and Life Science, Faculty of Health and Medical, Sciences, , Kanagawa Institute of Technology, ; 1030 Shimo-ogino, Atsugi-shi, Kanagawa, 243-0292 Japan
                [5 ]The Japanese Society of Nutrition and Dietetics, 3-4-18-904 Mita Minato-ku, Tokyo, 108-0073 Japan
                [6 ]GRID grid.444237.2, ISNI 0000 0004 1762 3124, Department of Human Nutrition Faculty of Human Nutrition, , Tokyo Kasei Gakuin University, ; 22 Sanbant-cho Chiyoda-ku, Tokyo, 102-8341 Japan
                [7 ]GRID grid.444649.f, ISNI 0000 0001 0289 2768, Department of Nutritional Management, Faculty of Nutritional Science, , Sagami Women’s University, ; 2-1-1 Bunkyo, Minami-ku, Sagamihara-shi, Kanagawa, 252-0383 Japan
                [8 ]GRID grid.444649.f, ISNI 0000 0001 0289 2768, Department of Nutrition and Health, Faculty of Nutritional Science, , Sagami Women’s University, ; 2-1-1 Bunkyo, Minami-ku, Sagamihara-shi, Kanagawa, 252-0383 Japan
                [9 ]GRID grid.452874.8, ISNI 0000 0004 1771 2506, Department of Nutrition, , Toho University Omori Medical Center, ; 6-11-1 Omori-Nishi, Ota-ku, Tokyo, 143-8541 Japan
                [10 ]GRID grid.265073.5, ISNI 0000 0001 1014 9130, Professor Emeritus, Tokyo Medical and Dental University, ; 1-5-45 Yushima Bunkyo-ku, Tokyo, 113-8510 Japan
                [11 ]GRID grid.415776.6, ISNI 0000 0001 2037 6433, Department of Health Promotion, , National Institute of Public Health, ; 2-3-6 Minami, Wako, Saitama 351-0197 Japan
                Author information
                http://orcid.org/0000-0003-0071-8293
                Article
                724
                10.1186/s12937-021-00724-2
                8283912
                34266425
                3ae03924-4251-4a20-866a-bc9e9817f2af
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 October 2020
                : 28 June 2021
                Funding
                Funded by: the National Center for Global Health and Medicine (20A-3002)
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nutrition & Dietetics
                24-h dietary recall,weighed food records,validation
                Nutrition & Dietetics
                24-h dietary recall, weighed food records, validation

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