Evaluation of validity of digital photograph based dietary intake in school children

Main Article Content

Tuğçe Orkun Erkılıç
Ayla Gulden Pekcan

Keywords

Food Record Method, Digital Photography, Dietary Assessment, School Children

Abstract

Study Objectives: Accurately assessing children’s dietary intake is a challenging task. This study aimed to assess the dietary intake of school children using 24 hour records (RM) and digital photograph (DM) based dietary intake methods, to validate the use of a novel digital image-based food record and to assess the feasibility. Methods: This study was held in Mehmet Özcan Torunoğlu Elementary School in Ankara on 40 (50.0% boys) children. A questionnaire was applied, general characteristics, food consumption frequencies and physical activity levels of the children were assessed. Each week 5 children were recruited and 24-h record method (RM) was applied for 4 consecutive days with one day as a weekend day. For the same period by using a digital camera, the participants were instructed and demonstrated to take digital photos (DM) for all meals and snacks, before and after the consumption of foods. Anthropometric measurements (height, body weight, waist, and hip circumferences) of children were taken and body mass index (BMI), waist circumference/height ratios were calculated. Results: Mean (±SD) age of the boys and girls were 8.05±0.22 and 8.1±0.31 years, respectively. According to RM and DM, daily energy intakes of boys were 2226.9 ±613.13 and 1611±209.79 kcal (p<0.05) and girls were 1781.5±341.83 and 1404.7±258.04 kcal (p<0.05), respectively. Mean daily energy, protein, carbohydrate intakes and also the mean daily intakes of vitamins B1, B2, B6, folic acid, vitamin C, A, and E and minerals; calcium, magnesium, phosphorus, iron, and zinc were found higher in RM than DM (p<0.05). Conclusions: Dietary intakes of nutrients of children were found higher by RM than DM method, due to recording only food served on the plate but not considering the plate-waste. These results suggest that digital photographs are more feasible to use in dietary assessment in children and also to assist in RM.

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References

1. Pekcan G. Beslenme Durumunun Saptanması. Sağlık Bakanlığı. 2008; Yayın No: 726. s:7.
2. Ersoy G. Okul çağı ve spor yapan çocukların beslenmesi, Ata Ofset, Ankara, 2001.
3. Brunstrom JM, Rogers PJ, Pothos EM, Calitri R, Tapper K. Estimating everyday portion size using a ‘method of constant stimuli’: in a student sample, portion size is predicted by gender, dietary behaviour, and hunger, but not BMI. Appetite. 2008; 51, 296-301.
4. Türkiye İstatistik Kurumu Haber Bülteni. İstatistiklerle Çocuk. 2019; sayı: 33733. [Internet] [Erişim Tarihi 7 Ağustos 2020]. http://www.tuik.gov.tr/PreHaberBultenleri.do?id=33733
5. Calfas KJ, Zabinski MF, Rupp J. Practical nutrition assessment in primary care settings: a review. American Journal of Preventive Medicine. 2000; 18, 289-299.
6. Lee-Han H, McGuire V, Boyd NF.. A review of the methods used by studies of dietary measurement. Journal of Clinical Epidemiology. 1989; 42, 269-279.
7. Basch CE, Shea S, Arliss R, et al. Validation of mothers’ reports of dietary intake by four to seven year-old children. American Journal of Public Health. 1990; 80, 1314-1317.
8. Small L, Sidora-Arcoleo K, Vaughan L, Creed-Capsel J, Chung K. and Stevens C. Validity and reliability of photographic diet diaries for assessing dietary ıntake among young children. ICAN: Infant, Child, & Adolescent Nutrition. 2009; 1, 27-36.
9. Zepeda L, Deal D. Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes. International Journal for Construction Study. 2008; 32, 692-698.
10. Rollo ME.; Williams RL, Burrows T, Kirkpatrick SI, Bucher T, Collins CE. What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation. Curr. Nutr. Rep. 2016, 5, 307–314.
11. Wellard-Cole L, et al. Relative validity of the eat and track (eat) smartphone app for collection of dietary intake data in 18-to-30-year olds. Nutrients, 2019, 11.3: 621.
12. WHO. Growth reference data for 5-19 years. 2007b. www.who.int/childgrowth/en/
13. Baysal A, Bozkurt N, Pekcan G, Besler HT, Aksoy M, Merdol TK, Keçecioğlu S, Mercanlıgil SM. Diyet El Kitabı, 10. Baskı, Hatiboğlu Yayınevi, Ankara, 2018.
14. Ashwell M. Obesity risk: Importance of the waist-to-height ratio. Nursing Standard. 2009; 23, 41, 49-54.
15. Akgül A. Tıbbi araştırmalarda istatistiksel analiz teknikleri, spss uygulamaları, Ofset (3.basım), Ankara, 2005.
16. Kikunaga S, Tin T, Ishibashi G, Wang DH, Kira S. The application of a handheld personal digital assistant with camera and mobile phone card (wellnavi) to the general population in a dietary survey. Journal of Nutritional Science and Vitaminology. 2007; 53, 109-116.
17. Rifkin R, Lohse B, Bagdonis J, Stotts J. Digital photo receivers are a viable technology for nutrition education of low-income persons. Journal of Nutrition Education and Behavior. 2006; 38, 326-328.

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