This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2922) mHealth for Data Collection and Research (981) Instruments and Questionnaires for Nutrition and Food Intake (169)

Published on in Vol 4, No 4 (2016): Oct-Dec

A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation

A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation

A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation

Authors of this article:

Amy M Ashman1, 2, 3 Author Orcid Image ;   Clare E Collins1, 2 Author Orcid Image ;   Leanne J Brown4 Author Orcid Image ;   Kym M Rae3, 4, 5, 6 Author Orcid Image ;   Megan E Rollo1, 2 Author Orcid Image
Article Authors Cited by (19) Tweetations (15) Metrics

Journals

  1. Ashton L, Williams R, Wood L, Schumacher T, Burrows T, Rollo M, Pezdirc K, Callister R, Collins C. Comparison of Australian Recommended Food Score (ARFS) and Plasma Carotenoid Concentrations: A Validation Study in Adults. Nutrients 2017;9(8):888 View
  2. Cormick G, Betrán A, Romero I, Lombardo C, Gülmezoglu A, Ciapponi A, Belizán J. Global inequities in dietary calcium intake during pregnancy: a systematic review and meta‐analysis. BJOG: An International Journal of Obstetrics & Gynaecology 2019;126(4):444 View
  3. Beulen Y, Super S, de Vries J, Koelen M, Feskens E, Wagemakers A. Dietary Interventions for Healthy Pregnant Women: A Systematic Review of Tools to Promote a Healthy Antenatal Dietary Intake. Nutrients 2020;12(7):1981 View
  4. Vincze L, Rollo M, Hutchesson M, Callister R, Collins C. VITAL change for mums: a feasibility study investigating tailored nutrition and exercise care delivered by video‐consultations for women 3–12 months postpartum. Journal of Human Nutrition and Dietetics 2018;31(3):337 View
  5. Gesser-Edelsburg A, Shalayeva S. Internet as a Source of Long-Term and Real-Time Professional, Psychological, and Nutritional Treatment: A Qualitative Case Study Among Former Israeli Soviet Union Immigrants. Journal of Medical Internet Research 2017;19(2):e33 View
  6. Yang Y, Jia W, Bucher T, Zhang H, Sun M. Image-based food portion size estimation using a smartphone without a fiducial marker. Public Health Nutrition 2018:1 View
  7. Ashman A, Collins C, Brown L, Rae K, Rollo M. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women. Nutrients 2017;9(1):73 View
  8. Ashton L, Pezdirc K, Hutchesson M, Rollo M, Collins C. Is Skin Coloration Measured by Reflectance Spectroscopy Related to Intake of Nutrient-Dense Foods? A Cross-Sectional Evaluation in Australian Young Adults. Nutrients 2017;10(1):11 View
  9. Reilly R, Stephens J, Micklem J, Tufanaru C, Harfield S, Fisher I, Pearson O, Ward J. Use and uptake of web-based therapeutic interventions amongst Indigenous populations in Australia, New Zealand, the United States of America and Canada: a scoping review. Systematic Reviews 2020;9(1) View
  10. Brown H, Bucher T, Collins C, Rollo M. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3) View
  11. Rollo M, Haslam R, Collins C. Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial. Nutrients 2020;12(11):3334 View
  12. ÜNLÜ G, GÜNGÖR İ. ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919 View
  13. König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
  14. Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867 View
  15. Wilkinson S, Schoenaker D, de Jersey S, Collins C, Gallo L, Rollo M, Borg D, Dekker Nitert M, Truby H, Barrett H, Kumar S, Clifton V. Exploring the diets of mothers and their partners during pregnancy: Findings from the Queensland Family Cohort pilot study. Nutrition & Dietetics 2022;79(5):602 View
  16. Zakeresfahani A, Everhart M, Baglione A, Castellanos Llorca M, Grant V, Omega N, Woertz A, Clawson J. Design Implications to Support Integrative Medicine in Pregnancy Care. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  17. Tanweer A, Khan S, Mustafa F, Imran S, Humayun A, Hussain Z. Improving dietary data collection tools for better nutritional assessment – A systematic review. Computer Methods and Programs in Biomedicine Update 2022;2:100067 View
  18. Gilbert S, Irvine R, D'or M, Adam M, Collins C, Marriott R, Rollo M, Walker R, Rae K. Indigenous Women and Their Nutrition During Pregnancy (the Mums and Bubs Deadly Diets Project): Protocol for a Co-designed mHealth Resource Development Study. JMIR Research Protocols 2023;12:e45983 View
  19. Lee V, Vijayakumar S, Ng W, Lau N, Leong Q, Ooi D, Su L, Lee Y, Chan S, Blasiak A, Ho D. Personalization and localization as key expectations of digital health intervention in women pre- to post-pregnancy. npj Digital Medicine 2023;6(1) View