Published on in Vol 18, No 2 (2016): February

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

Journals

  1. Horne J, Madill J, Gilliland J. Incorporating the ‘Theory of Planned Behavior’ into personalized healthcare behavior change research: a call to action. Personalized Medicine 2017;14(6):521 View
  2. Chuang L, Yang C, Yang H, Yang C. Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study. JMIR Medical Informatics 2020;8(6):e16886 View
  3. Smetana S, Bornkessel S, Heinz V. A Path From Sustainable Nutrition to Nutritional Sustainability of Complex Food Systems. Frontiers in Nutrition 2019;6 View
  4. Kirwan L, Walsh M, Celis-Morales C, Marsaux C, Livingstone K, Navas-Carretero S, Fallaize R, O’Donovan C, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Manios Y, Surwillo A, Godlewska M, Traczyk I, Drevon C, Gibney M, Lovegrove J, Martinez J, Saris W, Mathers J, Gibney E, Brennan L. Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4Me study. British Journal of Nutrition 2016;116(12):2011 View
  5. Livingstone K, Celis-Morales C, Hoeller U, Lambrinou C, Moschonis G, Macready A, Fallaize R, Baur M, Roos F, Bendik I, Grimaldi K, Navas-Carretero S, San-Cristobal R, Weber P, Drevon C, Manios Y, Traczyk I, Gibney E, Lovegrove J, Saris W, Daniel H, Gibney M, Martinez J, Brennan L, Hill T, Mathers J. Weekday sunlight exposure, but not vitamin D intake, influences the association between vitamin D receptor genotype and circulating concentration 25-hydroxyvitamin D in a pan-European population: the Food4Me study. Molecular Nutrition & Food Research 2017;61(2):1600476 View
  6. Sanderson S, Linderman M, Suckiel S, Zinberg R, Wasserstein M, Kasarskis A, Diaz G, Schadt E. Psychological and behavioural impact of returning personal results from whole-genome sequencing: the HealthSeq project. European Journal of Human Genetics 2017;25(3):280 View
  7. Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11098 View
  8. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O’Donovan C, Moschonis G, Manios Y, Traczyk I, Gundersen T, Drevon C, Marsaux C, Fallaize R, Macready A, Daniel H, Saris W, Lovegrove J, Gibney M, Gibney E, Walsh M, Brennan L, Martinez J, Mathers J. Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial. British Journal of Nutrition 2020;123(12):1396 View
  9. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  10. Alev K, Kütt A, Viigimaa M. Disclosing Pharmacogenetic Feedback of Caffeine via eHealth Channels, Assessment of the Methods and Effects to Behavior Change: A Pilot Study. Frontiers in Digital Health 2021;2 View
  11. Chauhdary Z, Rehman K, Akash M. The composite alliance of FTO locus with obesity‐related genetic variants. Clinical and Experimental Pharmacology and Physiology 2021 View

Books/Policy Documents

  1. Foreman A, Berg J. Secondary Findings in Genomic Research. View
  2. Colson N, Adamski M. Emerging Technologies and Work-Integrated Learning Experiences in Allied Health Education. View