Published on in Vol 15, No 6 (2013): June

Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake

Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake

Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake

Journals

  1. Raposo S, Fondell E, Ström P, Bälter O, Bonn S, Nyrén O, Plymoth A, Bälter K. Intake of vitamin C, vitamin E, selenium, zinc and polyunsaturated fatty acids and upper respiratory tract infection—a prospective cohort study. European Journal of Clinical Nutrition 2017;71(4):450 View
  2. Bejar L, Sharp B, García-Perea M. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208 View
  3. Bärebring L, Amberntsson A, Winkvist A, Augustin H. Validation of Dietary Vitamin D Intake from Two Food Frequency Questionnaires, Using Food Records and the Biomarker 25-Hydroxyvitamin D among Pregnant Women. Nutrients 2018;10(6):745 View
  4. Ekblom Ö, Ekblom-Bak E, Rosengren A, Hallsten M, Bergström G, Börjesson M, Lazzeri C. Cardiorespiratory Fitness, Sedentary Behaviour and Physical Activity Are Independently Associated with the Metabolic Syndrome, Results from the SCAPIS Pilot Study. PLOS ONE 2015;10(6):e0131586 View
  5. Fallaize R, Forster H, Macready A, Walsh M, Mathers J, Brennan L, Gibney E, Gibney M, Lovegrove J. Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record. Journal of Medical Internet Research 2014;16(8):e190 View
  6. Medin A, Astrup H, Kåsin B, Andersen L. Evaluation of a Web-Based Food Record for Children Using Direct Unobtrusive Lunch Observations: A Validation Study. Journal of Medical Internet Research 2015;17(12):e273 View
  7. Trinh T, Christensen S, Brand J, Cuzick J, Czene K, Sjölander A, Bälter K, Hall P. Background risk of breast cancer influences the association between alcohol consumption and mammographic density. British Journal of Cancer 2015;113(1):159 View
  8. Bälter O, Hedin B, Tobiasson H, Toivanen S. Walking Outdoors during Seminars Improved Perceived Seminar Quality and Sense of Well-Being among Participants. International Journal of Environmental Research and Public Health 2018;15(2):303 View
  9. Barman M, Murray F, Bernardi A, Broberg K, Bölte S, Hesselmar B, Jacobsson B, Jonsson K, Kippler M, Rabe H, Ross A, Sjöberg F, Strömberg N, Vahter M, Wold A, Sandberg A, Sandin A. Nutritional impact on Immunological maturation during Childhood in relation to the Environment (NICE): a prospective birth cohort in northern Sweden. BMJ Open 2018;8(10):e022013 View
  10. Forster H, Fallaize R, Gallagher C, O’Donovan C, Woolhead C, Walsh M, Macready A, Lovegrove J, Mathers J, Gibney M, Brennan L, Gibney E. Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire. Journal of Medical Internet Research 2014;16(6):e150 View
  11. Béjar L, Reyes Ó, García-Perea M. Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records. JMIR mHealth and uHealth 2018;6(6):e10409 View
  12. Stråvik M, Jonsson K, Hartvigsson O, Sandin A, Wold A, Sandberg A, Barman M. Food and Nutrient Intake during Pregnancy in Relation to Maternal Characteristics: Results from the NICE Birth Cohort in Northern Sweden. Nutrients 2019;11(7):1680 View
  13. Rainey L, Eriksson M, Trinh T, Czene K, Broeders M, Waal D, Hall P. The impact of alcohol consumption and physical activity on breast cancer: The role of breast cancer risk. International Journal of Cancer 2020;147(4):931 View
  14. Ekblom-Bak E, Ekblom Ö, Bergström G, Börjesson M. Isotemporal substitution of sedentary time by physical activity of different intensities and bout lengths, and its associations with metabolic risk. European Journal of Preventive Cardiology 2016;23(9):967 View
  15. Bergström G, Berglund G, Blomberg A, Brandberg J, Engström G, Engvall J, Eriksson M, Faire U, Flinck A, Hansson M, Hedblad B, Hjelmgren O, Janson C, Jernberg T, Johnsson Å, Johansson L, Lind L, Löfdahl C, Melander O, Östgren C, Persson A, Persson M, Sandström A, Schmidt C, Söderberg S, Sundström J, Toren K, Waldenström A, Wedel H, Vikgren J, Fagerberg B, Rosengren A. The Swedish CArdioPulmonary BioImage Study: objectives and design. Journal of Internal Medicine 2015;278(6):645 View
  16. Delisle Nyström C, Henriksson H, Alexandrou C, Bergström A, Bonn S, Bälter K, Löf M. Validation of an Online Food Frequency Questionnaire against Doubly Labelled Water and 24 h Dietary Recalls in Pre-School Children. Nutrients 2017;9(1):66 View
  17. Medin A, Carlsen M, Hambly C, Speakman J, Strohmaier S, Andersen L. The validity of a web-based FFQ assessed by doubly labelled water and multiple 24-h recalls. British Journal of Nutrition 2017;118(12):1106 View
  18. Christensen S, Möller E, Bonn S, Ploner A, Bälter O, Lissner L, Bälter K. Relative Validity of Micronutrient and Fiber Intake Assessed With Two New Interactive Meal- and Web-Based Food Frequency Questionnaires. Journal of Medical Internet Research 2014;16(2):e59 View
  19. Nybacka S, Bertéus Forslund H, Wirfält E, Larsson I, Ericson U, Warensjö Lemming E, Bergström G, Hedblad B, Winkvist A, Lindroos A. Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population. Journal of Nutritional Science 2016;5 View
  20. Zenun Franco R, Fallaize R, Lovegrove J, Hwang F, de Souza R. Online dietary intake assessment using a graphical food frequency app (eNutri): Usability metrics from the EatWellUK study. PLOS ONE 2018;13(8):e0202006 View
  21. Burrows T, Ho Y, Rollo M, Collins C. Validity of Dietary Assessment Methods When Compared to the Method of Doubly Labeled Water: A Systematic Review in Adults. Frontiers in Endocrinology 2019;10 View
  22. Augustin H, Winkvist A, Bärebring L. Poor Dietary Quality Is Associated with Low Adherence to Gestational Weight Gain Recommendations among Women in Sweden. Nutrients 2020;12(2):317 View
  23. Ghilotti F, Julander A, Gustavsson P, Linde A, Nyrén O, Plymoth A, Devleesschauwer B. Cohort profile: Studies of Work Environment and Disease Epidemiology-Infections (SWEDE-I), a prospective cohort on employed adults in Sweden. PLOS ONE 2019;14(5):e0217012 View
  24. Bälter K, Sjörs C, Sjölander A, Gardner C, Hedenus F, Tillander A. Is a diet low in greenhouse gas emissions a nutritious diet? – Analyses of self-selected diets in the LifeGene study. Archives of Public Health 2017;75(1) View
  25. Nybacka S, Lindroos A, Wirfält E, Leanderson P, Landberg R, Ericson U, Larsson I, Warensjö Lemming E, Bergström G, Hedblad B, Orho-Melander M, Melander O, Winkvist A, Bertéus Forslund H. Carotenoids and alkylresorcinols as objective biomarkers of diet quality when assessing the validity of a web-based food record tool and a food frequency questionnaire in a middle-aged population. BMC Nutrition 2016;2(1) View
  26. Delisle C, Sandin S, Forsum E, Henriksson H, Trolle-Lagerros Y, Larsson C, Maddison R, Ortega F, Ruiz J, Silfvernagel K, Timpka T, Löf M. A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial. BMC Public Health 2015;15(1) View
  27. van Gelder M, Schouten N, Merkus P, Verhaak C, Roeleveld N, Roukema J. Using Web-Based Questionnaires and Obstetric Records to Assess General Health Characteristics Among Pregnant Women: A Validation Study. Journal of Medical Internet Research 2015;17(6):e149 View
  28. Kato E, Takachi R, Ishihara J, Ishii Y, Sasazuki S, Sawada N, Iwasaki M, Shinozawa Y, Umezawa J, Tanaka J, Yokoyama Y, Kitamura K, Nakamura K, Tsugane S. Online version of the self-administered food frequency questionnaire for the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT) protocol: Relative validity, usability, and comparison with a printed questionnaire. Journal of Epidemiology 2017;27(9):435 View
  29. Landberg R, Wierzbicka R, Shi L, Nybacka S, Kamal-Eldin A, Hedblad B, Lindroos A, Winkvist A, Forslund H. New alkylresorcinol metabolites in spot urine as biomarkers of whole grain wheat and rye intake in a Swedish middle-aged population. European Journal of Clinical Nutrition 2018;72(10):1439 View
  30. Gripeteg L, Arvidsson D, Johannesson E, Larsson C, Sjöberg A, Angerås O, Fagman E, Brandberg J, Ekblom Ö, Bergström G, Börjesson M. Concomitant Associations of Healthy Food Intake and Cardiorespiratory Fitness With Coronary Artery Calcium. The American Journal of Cardiology 2018;122(4):560 View
  31. Shinozaki N, Murakami K, Masayasu S, Sasaki S. Development and simulated validation of a dish composition database for estimating food group and nutrient intakes in Japan. Public Health Nutrition 2019;22(13):2367 View
  32. Nomura S, Yoneoka D, Shi S, Tanoue Y, Kawashima T, Eguchi A, Matsuura K, Makiyama K, Ejima K, Taniguchi T, Sakamoto H, Kunishima H, Gilmour S, Nishiura H, Miyata H. An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency?. The Lancet Regional Health - Western Pacific 2020;1:100011 View
  33. Sjörs C, Raposo S, Sjölander A, Bälter O, Hedenus F, Bälter K. Diet-related greenhouse gas emissions assessed by a food frequency questionnaire and validated using 7-day weighed food records. Environmental Health 2016;15(1) View
  34. Béjar L, García-Perea M, Reyes Ó, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531 View
  35. Stråvik M, Barman M, Hesselmar B, Sandin A, Wold A, Sandberg A. Maternal Intake of Cow’s Milk during Lactation Is Associated with Lower Prevalence of Food Allergy in Offspring. Nutrients 2020;12(12):3680 View
  36. Sterner Isaksson S, Bensow Bacos M, Eliasson B, Thors Adolfsson E, Rawshani A, Lindblad U, Jendle J, Berglund A, Lind M, Axelsen M. Effects of nutrition education using a food-based approach, carbohydrate counting or routine care in type 1 diabetes: 12 months prospective randomized trial. BMJ Open Diabetes Research & Care 2021;9(1):e001971 View