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Does Technology Affect Nutrition Education Perspectives?

Year 2023, Volume: 3 Issue: 3, 335 - 342, 22.12.2023
https://doi.org/10.58252/artukluder.1363153

Abstract

The importance of various prevention efforts, including implementing nutrition education especially among children and adolescents, is growing due to noncommunicable diseases like hypertension, obesity, and diabetes that are common among children and adults. Most studies conducted in the previous few decades have noted that using technology in learning environments—including computer-based software, web-based learning, and hardware—creates a remarkable learning and teaching environment. For health professionals like dietitians who provide nutrition education, the ease of data recording, easy transmission and re-accessibility increases the use of various technologies. These technologies present spesific challenges, such as rising costs, user information needs, and age-specific unsuitability. Wearable and artificial intelligence technologies allow individuals to be monitored instantly. With distance education technologies, the opportunity to reach experts regardless of time and place makes it easier to get the correct information. The use of photography and automatic recognition methods in determining the amount of food supports reaching accurate food consumption records. With systems where individuals can see and follow their own data, it becomes easier for individuals to monitor behavior changes. It is stated that, nutritional applications could be more effective when guidance is established based on the attitudes, students’ achievement, and experience. This review focused on the impacts of mobile and web-based nutrition education.

References

  • Angeles-Agdeppa I, Monville-Oro E, Gonsalves JF, Capanzana MV. Integrated school based nutrition programme improved the knowledge of mother and schoolchildren. Matern Child Nutr. 2019 May;15 Suppl 3(Suppl 3):e12794. doi: 10.1111/mcn.12794
  • Cena H, Fiechtner L, Vincenti A, Magenes VC, De Giuseppe R, Manuelli M, Zuccotti GV, Calcaterra V. COVID-19 Pandemic as Risk Factors for Excessive Weight Gain in Pediatrics: The Role of Changes in Nutrition Behavior. A Narrative Review. Nutrients. 2021 Nov 26;13(12):4255. doi: 10.3390/nu13124255
  • Brennan L, McNulty B. New technology in nutrition research and practice. Proc Nutr Soc. 2017 Aug;76(3):173-174. doi: 10.1017/S0029665117001021
  • Prowse R, Carsley S. Digital Interventions to Promote Healthy Eating in Children: Umbrella Review. JMIR Pediatr Parent. 2021 Nov 25;4(4):e30160. doi: 10.2196/30160
  • Brown JM, Savaglio R, Watson G, Kaplansky A, LeSage A, Hughes J, et al. Optimizing Child Nutrition Education With the Foodbot Factory Mobile Health App: Formative Evaluation and Analysis. JMIR Form Res. 2020 Apr 17;4(4):e15534. doi: 10.2196/15534
  • Middelweerd A, Mollee JS, van der Wal CN, Brug J, Te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act. 2014 Jul 25;11:97. doi: 10.1186/s12966-014-0097-9
  • Yang CH, Maher JP, Conroy DE. Implementation of behavior change techniques in mobile applications for physical activity. Am J Prev Med. 2015 Apr;48(4):452-5. doi: 10.1016/j.amepre.2014.10.010
  • Schoffman DE, Turner-McGrievy G, Jones SJ, Wilcox S. Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? Transl Behav Med. 2013 Sep;3(3):320-5. doi: 10.1007/s13142-013-0206-3
  • Gilliland J, Sadler R, Clark A, O'Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. Biomed Res Int. 2015;2015:841368. doi: 10.1155/2015/841368
  • Del Río NG, González-González CS, Martín-González R, Navarro-Adelantado V, Toledo-Delgado P, García-Peñalvo F. Effects of a Gamified Educational Program in the Nutrition of Children with Obesity. J Med Syst. 2019 May 22;43(7):198. doi: 10.1007/s10916-019-1293-6
  • Oktavıa A. , Agustın H. Umbul Card: A Traditional Game as Nutrition Education Media among Elementary School Students. IJERE. 2020; 5(1): 1-9. doi: 10.24331/ijere.646821
  • Froome HM, Townson C, Rhodes S, Franco-Arellano B, LeSage A, Savaglio R, et al.The Effectiveness of the Foodbot Factory Mobile Serious Game on Increasing Nutrition Knowledge in Children. Nutrients. 2020 Nov 6;12(11):3413. doi: 10.3390/nu12113413
  • Bat-Erdene BO, Saver JL. Automatic Acute Stroke Symptom Detection and Emergency Medical Systems Alerting by Mobile Health Technologies: A Review. J Stroke Cerebrovasc Dis. 2021 Jul;30(7):105826. doi: 10.1016/j.jstrokecerebrovasdis.2021.105826
  • Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR Mhealth Uhealth. 2022 Apr 8;10(4):e35479. doi: 10.2196/35479
  • Evans K, Hennessy Á, Walton J, Timon C, Gibney E, Flynn A. Development and evaluation of a concise food list for use in a web-based 24-h dietary recall tool. J Nutr Sci. 2017 Aug 29;6:e46. doi: 10.1017/jns.2017.49
  • Murakami K, Shinozaki N, Masayasu S, Livingstone MBE. Web-Based Personalized Nutrition System for Delivering Dietary Feedback Based on Behavior Change Techniques: Development and Pilot Study among Dietitians. Nutrients. 2021 Sep 27;13(10):3391. doi: 10.3390/nu13103391
  • Trottier CF, Lieffers JRL, Johnson ST, Mota JF, Gill RK, Prado CM. The Impact of a Web-Based Mindfulness, Nutrition, and Physical Activity Platform on the Health Status of First-Year University Students: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2021 Mar 10;10(3):e24534. doi: 10.2196/24534
  • Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, et al. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients. 2022 Feb 1;14(3):635. doi: 10.3390/nu14030635
  • Chamberland, K., Sanchez, M., Panahi, S. et al. The impact of an innovative web-based school nutrition intervention to increase fruits and vegetables and milk and alternatives in adolescents: a clustered randomized trial. Int J Behav Nutr Phys Act 14, 140 (2017). doi: 10.1186/s12966-017-0595-7
  • Rangelov N, Della Bella S, Marques-Vidal P, Suggs LS. Does additional support provided through e-mail or SMS in a Web-based Social Marketing program improve children's food consumption? A Randomized Controlled Trial. Nutr J. 2018 Feb 16;17(1):24. doi: 10.1186/s12937-018-0334-1
  • Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc. 2011 Apr;111(4):583-8. doi: 10.1016/j.jada.2011.01.009
  • Yon BA, Johnson RK, Harvey-Berino J, Gold BC, Howard AB. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. J Behav Med. 2007 Apr;30(2):165-75. doi: 10.1007/s10865-006-9092-1
  • Dunn CG, Turner-McGrievy GM, Wilcox S, Hutto B. Dietary Self-Monitoring Through Calorie Tracking but Not Through a Digital Photography App Is Associated with Significant Weight Loss: The 2SMART Pilot Study-A 6-Month Randomized Trial. J Acad Nutr Diet. 2019 Sep;119(9):1525-1532. doi: 10.1016/j.jand.2019.03.013
  • De Bourdeaudhuij I, Stevens V, Vandelanotte C, Brug J. Evaluation of an interactive computer-tailored nutrition intervention in a real-life setting. Ann Behav Med. 2007 Feb;33(1):39-48. doi: 10.1207/s15324796abm3301_5
  • Broekhuizen K, Kroeze W, van Poppel MN, Oenema A, Brug J. A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Ann Behav Med. 2012 Oct;44(2):259-86. doi: 10.1007/s12160-012-9384-3
  • Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422
  • Fatehah AA, Poh BK, Shanita SN, Wong JE. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals. Nutrients. 2018 Jul 27;10(8):984. doi: 10.3390/nu10080984
  • Martin CK, Nicklas T, Gunturk B, Correa JB, Allen HR, Champagne C. Measuring food intake with digital photography. J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):72-81. doi: 10.1111/jhn.12014
  • McCloskey ML, Johnson SL, Bekelman TA, Martin CK, Bellows LL. Beyond Nutrient Intake: Use of Digital Food Photography Methodology to Examine Family Dinnertime. J Nutr Educ Behav. 2019 May;51(5):547-555.e1. doi: 10.1016/j.jneb.2019.01.020
  • Rodriguez-León C, Villalonga C, Munoz-Torres M, Ruiz JR, Banos O. Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review. JMIR Mhealth Uhealth. 2021 Jun 3;9(6):e25138. doi: 10.2196/25138
  • Limketkai BN, Mauldin K, Manitius N, Jalilian L, Salonen BR. The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition. Curr Surg Rep. 2021;9(7):20. doi: 10.1007/s40137-021-00297-3
  • Jia W, Li Y, Qu R, Baranowski T, Burke LE, Zhang H, et al. Automatic food detection in egocentric images using artificial intelligence technology. Public Health Nutr. 2019 May;22(7):1168-1179. doi: 10.1017/S1368980018000538
  • Nomura A, Noguchi M, Kometani M, Furukawa K, Yoneda T. Artificial Intelligence in Current Diabetes Management and Prediction. Curr Diab Rep. 2021 Dec 13;21(12):61. doi: 10.1007/s11892-021-01423-2
  • Michard F. Toward Smart Monitoring with Phones, Watches, and Wearable Sensors. Anesthesiol Clin. 2021 Sep;39(3):555-564. doi: 10.1016/j.anclin.2021.04.005
  • Veatupu L, Puloka V, Smith M, McKerchar C, Signal L. Me'akai in Tonga: Exploring the Nature and Context of the Food Tongan Children Eat in Ha'apai Using Wearable Cameras. Int J Environ Res Public Health. 2019 May 14;16(10):1681. doi: 10.3390/ijerph16101681
  • Murimi MW, Nguyen B, Moyeda-Carabaza AF, Lee HJ, Park OH. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutr Rev. 2019 Oct 1;77(10):663-690. doi: 10.1093/nutrit/nuz032
  • Au LE, Whaley S, Rosen NJ, Meza M, Ritchie LD. Online and In-Person Nutrition Education Improves Breakfast Knowledge, Attitudes, and Behaviors: A Randomized Trial of Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children. J Acad Nutr Diet. 2016 Mar;116(3):490-500. doi: 10.1016/j.jand.2015.10.012
  • Grimes CA, Booth A, Khokhar D, West M, Margerison C, Campbell KJ, et al. Digital Education to Limit Salt in the Home (DELISH) Program Improves Knowledge, Self-Efficacy, and Behaviors Among Children. J Nutr Educ Behav. 2018 Jun;50(6):547-554. doi: 10.1016/j.jneb.2018.04.002
  • McGuirt JT, Cooke NK, Burgermaster M, Enahora B, Huebner G, Meng Y, et al. Extended Reality Technologies in Nutrition Education and Behavior: Comprehensive Scoping Review and Future Directions. Nutrients. 2020 Sep 22;12(9):2899. doi: 10.3390/nu12092899
  • Ershow AG, Peterson CM, Riley WT, Rizzo AS, Wansink B. Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities. J Diabetes Sci Technol. 2011 Mar 1;5(2):212-24. doi: 10.1177/193229681100500202
  • Rollo ME, Aguiar EJ, Williams RL, Wynne K, Kriss M, Callister R, et al. eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management. Diabetes Metab Syndr Obes. 2016 Nov 4;9:381-390. doi: 10.2147/DMSO.S95247
  • Hernandez R, Burrows B, Browning MHEM, Solai K, Fast D, Litbarg NO, et al. Mindfulness-based Virtual Reality Intervention in Hemodialysis Patients: A Pilot Study on End-user Perceptions and Safety. Kidney360. 2021 Jan 8;2(3):435-444. doi: 10.34067/KID.0005522020
  • Banire B, Khowaja K, Mansoor B, Qaraqe M, Al Thani D. Reality-Based Technologies for Children with Autism Spectrum Disorder: A Recommendation for Food Intake Intervention. Adv Neurobiol. 2020;24:679-693. doi: 10.1007/978-3-030-30402-7_26
  • Bioulac S, de Sevin E, Sagaspe P, Claret A, Philip P, Micoulaud-Franchi JA, et al. Qu’apportent les outils de réalité virtuelle en psychiatrie de l’enfant et l’adolescent ? [What do virtual reality tools bring to child and adolescent psychiatry?]. Encephale. 2018 Jun;44(3):280-285. French. doi: 10.1016/j.encep.2017.06.005

Teknoloji Beslenme Eğitimi Perspektiflerini Etkiler mi?

Year 2023, Volume: 3 Issue: 3, 335 - 342, 22.12.2023
https://doi.org/10.58252/artukluder.1363153

Abstract

Çocuklardan yetişkinlere kadar yaygın olan hipertansiyon, obezite ve diyabet gibi bulaşıcı olmayan hastalıklar, başta çocuk ve ergenler olmak üzere beslenme eğitiminin yaygınlaştırılması da dahil olmak üzere çeşitli önleme stratejilerinin önemini artırmaktadır. Son yıllarda, bilgisayar tabanlı, yazılım, web tabanlı öğrenme ve donanım dahil olmak üzere öğrenme ortamlarında teknolojinin kullanılmasının hem öğrenme hem de öğretmede olağanüstü bir deneyim kazandırdığı çoğu araştırma tarafından dile getirilmektedir. Beslenme eğitimi veren diyetisyenler gibi sağlık profesyonelleri için veri kaydının kolaylığı, iletilmesinin ve yeniden erişilebilirliğinin kolay olması çeşitli teknolojilerin kullanımını artırmaktadır. Ancak bu teknolojilerin kullanımında maliyetlerin artması, kullanıcılar için bilgi gereksinimlerinin artması, her yaş grubunda kullanıma uygun olmaması gibi zorluklar bulunmaktadır. Giyilebilir ve yapay zeka teknolojilerinin kullanılması bireylerin anlık olarak takip edilmesine olanak sağlamaktadır. Uzaktan eğitim teknolojileri ile zaman ve mekandan bağımsız olarak uzmanlara ulaşma olanağı, doğru bilgiye ulaşmayı kolaylaştırmaktadır. Besin miktarının belirlenmesinde fotoğraf ve otomatik tanıma yöntemlerinin kullanılması, doğru besin tüketim kayıtlarına ulaşmayı desteklemektedir. Bireylerin kendi verilerini görebildiği ve takip edebildiği sistemler ile bireylerin davranış değişikliklerini takip etmesi kolaylaşmaktadır. Öğrencilerin tutumlarına, başarılarına ve deneyimlerine göre rehberlik oluşturulduğunda beslenme uygulamalarının daha etkili olabileceği belirtilmektedir. Bu derlemede mobil ve web tabanlı beslenme eğitiminin etkilerine odaklanılmıştır.

References

  • Angeles-Agdeppa I, Monville-Oro E, Gonsalves JF, Capanzana MV. Integrated school based nutrition programme improved the knowledge of mother and schoolchildren. Matern Child Nutr. 2019 May;15 Suppl 3(Suppl 3):e12794. doi: 10.1111/mcn.12794
  • Cena H, Fiechtner L, Vincenti A, Magenes VC, De Giuseppe R, Manuelli M, Zuccotti GV, Calcaterra V. COVID-19 Pandemic as Risk Factors for Excessive Weight Gain in Pediatrics: The Role of Changes in Nutrition Behavior. A Narrative Review. Nutrients. 2021 Nov 26;13(12):4255. doi: 10.3390/nu13124255
  • Brennan L, McNulty B. New technology in nutrition research and practice. Proc Nutr Soc. 2017 Aug;76(3):173-174. doi: 10.1017/S0029665117001021
  • Prowse R, Carsley S. Digital Interventions to Promote Healthy Eating in Children: Umbrella Review. JMIR Pediatr Parent. 2021 Nov 25;4(4):e30160. doi: 10.2196/30160
  • Brown JM, Savaglio R, Watson G, Kaplansky A, LeSage A, Hughes J, et al. Optimizing Child Nutrition Education With the Foodbot Factory Mobile Health App: Formative Evaluation and Analysis. JMIR Form Res. 2020 Apr 17;4(4):e15534. doi: 10.2196/15534
  • Middelweerd A, Mollee JS, van der Wal CN, Brug J, Te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act. 2014 Jul 25;11:97. doi: 10.1186/s12966-014-0097-9
  • Yang CH, Maher JP, Conroy DE. Implementation of behavior change techniques in mobile applications for physical activity. Am J Prev Med. 2015 Apr;48(4):452-5. doi: 10.1016/j.amepre.2014.10.010
  • Schoffman DE, Turner-McGrievy G, Jones SJ, Wilcox S. Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? Transl Behav Med. 2013 Sep;3(3):320-5. doi: 10.1007/s13142-013-0206-3
  • Gilliland J, Sadler R, Clark A, O'Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. Biomed Res Int. 2015;2015:841368. doi: 10.1155/2015/841368
  • Del Río NG, González-González CS, Martín-González R, Navarro-Adelantado V, Toledo-Delgado P, García-Peñalvo F. Effects of a Gamified Educational Program in the Nutrition of Children with Obesity. J Med Syst. 2019 May 22;43(7):198. doi: 10.1007/s10916-019-1293-6
  • Oktavıa A. , Agustın H. Umbul Card: A Traditional Game as Nutrition Education Media among Elementary School Students. IJERE. 2020; 5(1): 1-9. doi: 10.24331/ijere.646821
  • Froome HM, Townson C, Rhodes S, Franco-Arellano B, LeSage A, Savaglio R, et al.The Effectiveness of the Foodbot Factory Mobile Serious Game on Increasing Nutrition Knowledge in Children. Nutrients. 2020 Nov 6;12(11):3413. doi: 10.3390/nu12113413
  • Bat-Erdene BO, Saver JL. Automatic Acute Stroke Symptom Detection and Emergency Medical Systems Alerting by Mobile Health Technologies: A Review. J Stroke Cerebrovasc Dis. 2021 Jul;30(7):105826. doi: 10.1016/j.jstrokecerebrovasdis.2021.105826
  • Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR Mhealth Uhealth. 2022 Apr 8;10(4):e35479. doi: 10.2196/35479
  • Evans K, Hennessy Á, Walton J, Timon C, Gibney E, Flynn A. Development and evaluation of a concise food list for use in a web-based 24-h dietary recall tool. J Nutr Sci. 2017 Aug 29;6:e46. doi: 10.1017/jns.2017.49
  • Murakami K, Shinozaki N, Masayasu S, Livingstone MBE. Web-Based Personalized Nutrition System for Delivering Dietary Feedback Based on Behavior Change Techniques: Development and Pilot Study among Dietitians. Nutrients. 2021 Sep 27;13(10):3391. doi: 10.3390/nu13103391
  • Trottier CF, Lieffers JRL, Johnson ST, Mota JF, Gill RK, Prado CM. The Impact of a Web-Based Mindfulness, Nutrition, and Physical Activity Platform on the Health Status of First-Year University Students: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2021 Mar 10;10(3):e24534. doi: 10.2196/24534
  • Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, et al. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients. 2022 Feb 1;14(3):635. doi: 10.3390/nu14030635
  • Chamberland, K., Sanchez, M., Panahi, S. et al. The impact of an innovative web-based school nutrition intervention to increase fruits and vegetables and milk and alternatives in adolescents: a clustered randomized trial. Int J Behav Nutr Phys Act 14, 140 (2017). doi: 10.1186/s12966-017-0595-7
  • Rangelov N, Della Bella S, Marques-Vidal P, Suggs LS. Does additional support provided through e-mail or SMS in a Web-based Social Marketing program improve children's food consumption? A Randomized Controlled Trial. Nutr J. 2018 Feb 16;17(1):24. doi: 10.1186/s12937-018-0334-1
  • Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc. 2011 Apr;111(4):583-8. doi: 10.1016/j.jada.2011.01.009
  • Yon BA, Johnson RK, Harvey-Berino J, Gold BC, Howard AB. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. J Behav Med. 2007 Apr;30(2):165-75. doi: 10.1007/s10865-006-9092-1
  • Dunn CG, Turner-McGrievy GM, Wilcox S, Hutto B. Dietary Self-Monitoring Through Calorie Tracking but Not Through a Digital Photography App Is Associated with Significant Weight Loss: The 2SMART Pilot Study-A 6-Month Randomized Trial. J Acad Nutr Diet. 2019 Sep;119(9):1525-1532. doi: 10.1016/j.jand.2019.03.013
  • De Bourdeaudhuij I, Stevens V, Vandelanotte C, Brug J. Evaluation of an interactive computer-tailored nutrition intervention in a real-life setting. Ann Behav Med. 2007 Feb;33(1):39-48. doi: 10.1207/s15324796abm3301_5
  • Broekhuizen K, Kroeze W, van Poppel MN, Oenema A, Brug J. A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Ann Behav Med. 2012 Oct;44(2):259-86. doi: 10.1007/s12160-012-9384-3
  • Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422
  • Fatehah AA, Poh BK, Shanita SN, Wong JE. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals. Nutrients. 2018 Jul 27;10(8):984. doi: 10.3390/nu10080984
  • Martin CK, Nicklas T, Gunturk B, Correa JB, Allen HR, Champagne C. Measuring food intake with digital photography. J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):72-81. doi: 10.1111/jhn.12014
  • McCloskey ML, Johnson SL, Bekelman TA, Martin CK, Bellows LL. Beyond Nutrient Intake: Use of Digital Food Photography Methodology to Examine Family Dinnertime. J Nutr Educ Behav. 2019 May;51(5):547-555.e1. doi: 10.1016/j.jneb.2019.01.020
  • Rodriguez-León C, Villalonga C, Munoz-Torres M, Ruiz JR, Banos O. Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review. JMIR Mhealth Uhealth. 2021 Jun 3;9(6):e25138. doi: 10.2196/25138
  • Limketkai BN, Mauldin K, Manitius N, Jalilian L, Salonen BR. The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition. Curr Surg Rep. 2021;9(7):20. doi: 10.1007/s40137-021-00297-3
  • Jia W, Li Y, Qu R, Baranowski T, Burke LE, Zhang H, et al. Automatic food detection in egocentric images using artificial intelligence technology. Public Health Nutr. 2019 May;22(7):1168-1179. doi: 10.1017/S1368980018000538
  • Nomura A, Noguchi M, Kometani M, Furukawa K, Yoneda T. Artificial Intelligence in Current Diabetes Management and Prediction. Curr Diab Rep. 2021 Dec 13;21(12):61. doi: 10.1007/s11892-021-01423-2
  • Michard F. Toward Smart Monitoring with Phones, Watches, and Wearable Sensors. Anesthesiol Clin. 2021 Sep;39(3):555-564. doi: 10.1016/j.anclin.2021.04.005
  • Veatupu L, Puloka V, Smith M, McKerchar C, Signal L. Me'akai in Tonga: Exploring the Nature and Context of the Food Tongan Children Eat in Ha'apai Using Wearable Cameras. Int J Environ Res Public Health. 2019 May 14;16(10):1681. doi: 10.3390/ijerph16101681
  • Murimi MW, Nguyen B, Moyeda-Carabaza AF, Lee HJ, Park OH. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutr Rev. 2019 Oct 1;77(10):663-690. doi: 10.1093/nutrit/nuz032
  • Au LE, Whaley S, Rosen NJ, Meza M, Ritchie LD. Online and In-Person Nutrition Education Improves Breakfast Knowledge, Attitudes, and Behaviors: A Randomized Trial of Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children. J Acad Nutr Diet. 2016 Mar;116(3):490-500. doi: 10.1016/j.jand.2015.10.012
  • Grimes CA, Booth A, Khokhar D, West M, Margerison C, Campbell KJ, et al. Digital Education to Limit Salt in the Home (DELISH) Program Improves Knowledge, Self-Efficacy, and Behaviors Among Children. J Nutr Educ Behav. 2018 Jun;50(6):547-554. doi: 10.1016/j.jneb.2018.04.002
  • McGuirt JT, Cooke NK, Burgermaster M, Enahora B, Huebner G, Meng Y, et al. Extended Reality Technologies in Nutrition Education and Behavior: Comprehensive Scoping Review and Future Directions. Nutrients. 2020 Sep 22;12(9):2899. doi: 10.3390/nu12092899
  • Ershow AG, Peterson CM, Riley WT, Rizzo AS, Wansink B. Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities. J Diabetes Sci Technol. 2011 Mar 1;5(2):212-24. doi: 10.1177/193229681100500202
  • Rollo ME, Aguiar EJ, Williams RL, Wynne K, Kriss M, Callister R, et al. eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management. Diabetes Metab Syndr Obes. 2016 Nov 4;9:381-390. doi: 10.2147/DMSO.S95247
  • Hernandez R, Burrows B, Browning MHEM, Solai K, Fast D, Litbarg NO, et al. Mindfulness-based Virtual Reality Intervention in Hemodialysis Patients: A Pilot Study on End-user Perceptions and Safety. Kidney360. 2021 Jan 8;2(3):435-444. doi: 10.34067/KID.0005522020
  • Banire B, Khowaja K, Mansoor B, Qaraqe M, Al Thani D. Reality-Based Technologies for Children with Autism Spectrum Disorder: A Recommendation for Food Intake Intervention. Adv Neurobiol. 2020;24:679-693. doi: 10.1007/978-3-030-30402-7_26
  • Bioulac S, de Sevin E, Sagaspe P, Claret A, Philip P, Micoulaud-Franchi JA, et al. Qu’apportent les outils de réalité virtuelle en psychiatrie de l’enfant et l’adolescent ? [What do virtual reality tools bring to child and adolescent psychiatry?]. Encephale. 2018 Jun;44(3):280-285. French. doi: 10.1016/j.encep.2017.06.005
There are 44 citations in total.

Details

Primary Language English
Subjects Public Health Nutrition
Journal Section Reviews
Authors

Hilal Betül Altıntaş Başar 0000-0001-9177-0868

Saniye Bilici 0000-0002-1235-0329

Publication Date December 22, 2023
Submission Date September 19, 2023
Published in Issue Year 2023 Volume: 3 Issue: 3

Cite

APA Altıntaş Başar, H. B., & Bilici, S. (2023). Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences, 3(3), 335-342. https://doi.org/10.58252/artukluder.1363153
AMA Altıntaş Başar HB, Bilici S. Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences. December 2023;3(3):335-342. doi:10.58252/artukluder.1363153
Chicago Altıntaş Başar, Hilal Betül, and Saniye Bilici. “Does Technology Affect Nutrition Education Perspectives?”. Artuklu International Journal of Health Sciences 3, no. 3 (December 2023): 335-42. https://doi.org/10.58252/artukluder.1363153.
EndNote Altıntaş Başar HB, Bilici S (December 1, 2023) Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences 3 3 335–342.
IEEE H. B. Altıntaş Başar and S. Bilici, “Does Technology Affect Nutrition Education Perspectives?”, Artuklu International Journal of Health Sciences, vol. 3, no. 3, pp. 335–342, 2023, doi: 10.58252/artukluder.1363153.
ISNAD Altıntaş Başar, Hilal Betül - Bilici, Saniye. “Does Technology Affect Nutrition Education Perspectives?”. Artuklu International Journal of Health Sciences 3/3 (December 2023), 335-342. https://doi.org/10.58252/artukluder.1363153.
JAMA Altıntaş Başar HB, Bilici S. Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences. 2023;3:335–342.
MLA Altıntaş Başar, Hilal Betül and Saniye Bilici. “Does Technology Affect Nutrition Education Perspectives?”. Artuklu International Journal of Health Sciences, vol. 3, no. 3, 2023, pp. 335-42, doi:10.58252/artukluder.1363153.
Vancouver Altıntaş Başar HB, Bilici S. Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences. 2023;3(3):335-42.

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