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

mHealth for Wellness, Behavior Change and Prevention (2871) Research Instruments, Questionnaires, and Tools (576) Instruments and Questionnaires for Nutrition and Food Intake (166)

Published on in Vol 4, No 3 (2016): Jul-Sept

Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training

Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training

Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training

Authors of this article:

Gina Segovia-Siapco1 Author Orcid Image ;   Joan Sabaté1 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Journals

  1. Ashman A, Collins C, Brown L, Rae K, Rollo M. A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation. JMIR mHealth and uHealth 2016;4(4):e123 View
  2. Beltran A, Dadabhoy H, Ryan C, Dholakia R, Jia W, Baranowski J, Sun M, Baranowski T. Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2144 View
  3. Segovia-Siapco G, Oda K, Sabaté J. Evaluation of the relative validity of a Web-based food frequency questionnaire used to assess Soy Isoflavones and nutrient intake in adolescents. BMC Nutrition 2016;2(1) View
  4. 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
  5. Jimoh F, Lund E, Harvey L, Frost C, Lay W, Roe M, Berry R, Finglas P. Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study. JMIR mHealth and uHealth 2018;6(1):e17 View
  6. Beets M, Brazendale K, Weaver R, Armstrong B. Rethinking Behavioral Approaches to Compliment Biological Advances to Understand the Etiology, Prevention, and Treatment of Childhood Obesity. Childhood Obesity 2019;15(6):353 View
  7. Pasman W, Boessen R, Donner Y, Clabbers N, Boorsma A. Effect of Caffeine on Attention and Alertness Measured in a Home-Setting, Using Web-Based Cognition Tests. JMIR Research Protocols 2017;6(9):e169 View
  8. Weinhold K, Andridge R, Bomser J, Sasaki G, Bruno R, Orchard T. Sugars measured enzymatically in a fasting overnight urine sample are not sensitive biomarkers of dietary added sugar intake in postmenopausal women. Nutrition and Health 2022 View
  9. 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
  10. 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
  11. Tanweer A, Zia M, Riaz K, Mushtaq H, Siddique M, Imran S, Humayun A, Hussain Z. Comparing the web-based and traditional self-reported 24-hour dietary recall data in the PakNutriStudy. Computer Methods and Programs in Biomedicine 2023;240:107682 View
  12. Foster-Nicholas L, Shavlik D, Heskey C, Dyett P, Segovia-Siapco G. Validity and Reproducibility of a Culture-Specific Electronic Food Frequency Questionnaire: A Trinidad and Tobago Diet Assessment Study. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View

Books/Policy Documents

  1. . Pediatric Nutrition. View
  2. . Pediatric Nutrition (Sponsored Member Benefit). View