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

Web-based and Mobile Health Interventions (3297)

Published on in Vol 16, No 8 (2014): August

How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation

How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation

How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation

Authors of this article:

Margaret Mochon Demment1 Author Orcid Image ;   Meredith Leigh Graham1 Author Orcid Image ;   Christine Marie Olson1 Author Orcid Image
Article Authors Cited by (20) Tweetations (9) Metrics

Journals

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  7. Olson C, Groth S, Graham M, Reschke J, Strawderman M, Fernandez I. The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial. BMC Pregnancy and Childbirth 2018;18(1) View
  8. Davis D, Davey R, Williams L, Foureur M, Nohr E, Knight-Agarwal C, Lawlis T, Oats J, Skouteris H, Fuller-Tyszkiewicz M. Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e146 View
  9. Nichols V, Ellard D, Griffiths F, Underwood M, Taylor S, Patel S. The CHESS trial: protocol for the process evaluation of a randomised trial of an education and self-management intervention for people with chronic headache. Trials 2019;20(1) View
  10. Timmerman G, Walker L, Brown C. Managing Gestational Weight Gain: Obstetricians’ Perceived Barriers and Interventions. The Journal of Perinatal Education 2017;26(2):70 View
  11. Canan C, Flickinger T, Waselewski M, Tabackman A, Baker L, Eger S, Waldman A, Ingersoll K, Dillingham R. Toward understanding the impact of mHealth features for people with HIV: a latent class analysis of PositiveLinks usage. Translational Behavioral Medicine 2021;11(1):172 View
  12. Graham M, Strawderman M, Demment M, Olson C. Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(1):e6 View
  13. Johnsen H, Blom K, Lee A, Nørgaard B. Using eHealth to Increase Autonomy Supportive Care. CIN: Computers, Informatics, Nursing 2018;36(2):77 View
  14. Vander Wyst K, Vercelli M, O’Brien K, Cooper E, Pressman E, Whisner C, Zulyniak M. A social media intervention to improve nutrition knowledge and behaviors of low income, pregnant adolescents and adult women. PLOS ONE 2019;14(10):e0223120 View
  15. Mitchell E, Yang Q, Behr H, Ho A, DeLuca L, May C, Michaelides A. Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight. International Journal of Environmental Research and Public Health 2021;18(4):1712 View
  16. Ellard D, Nichols V, Griffiths F, Underwood M, Taylor S, Ellard D, Achana F, Carnes D, Eldridge S, Haywood K, Hee S, Higgins H, Mistry D, Mistry H, Newton S, Norman C, Padfield M, Patel S, Petrou S, Pincus T, Potter R, Sandhu H, Stewart K, Matharu M. Chronic Headache Education and Self-Management Study (CHESS): a process evaluation. BMC Neurology 2023;23(1) View
  17. MENGİ ÇELİK Ö, DURAN S. HEMŞİRE ADAYLARINDA SOSYAL MEDYA BAĞIMLILIĞI İLE BESLENME BİLGİSİ VE BAZI DEĞİŞKENLER ARASINDAKİ İLİŞKİNİN DEĞERLENDİRİLMESİ. Karya Journal of Health Science 2022;3(3):302 View
  18. Krebs F, Lorenz L, Nawabi F, Alayli A, Stock S. Effectiveness of a Brief Lifestyle Intervention in the Prenatal Care Setting to Prevent Excessive Gestational Weight Gain and Improve Maternal and Infant Health Outcomes. International Journal of Environmental Research and Public Health 2022;19(10):5863 View
  19. Henriksson P, Migueles J, Söderström E, Sandborg J, Maddison R, Löf M. User engagement in relation to effectiveness of a digital lifestyle intervention (the HealthyMoms app) in pregnancy. Scientific Reports 2022;12(1) View
  20. Beattie M, Konttinen H, Volanen S, Hankonen N. Latent profile analysis as a method for process evaluations: Discovering response subgroups in a mindfulness intervention. Social Science & Medicine 2022;296:114748 View