These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
123 related articles for article (PubMed ID: 34807334)
1. Momentary predictors of dietary lapse from a mobile health weight loss intervention. Crochiere RJ; Abber SR; Taylor LC; Sala M; Schumacher LM; Goldstein SP; Forman EM J Behav Med; 2022 Apr; 45(2):324-330. PubMed ID: 34807334 [TBL] [Abstract][Full Text] [Related]
2. Ecological Momentary Assessment of Dietary Lapses Across Behavioral Weight Loss Treatment: Characteristics, Predictors, and Relationships with Weight Change. Forman EM; Schumacher LM; Crosby R; Manasse SM; Goldstein SP; Butryn ML; Wyckoff EP; Graham Thomas J Ann Behav Med; 2017 Oct; 51(5):741-753. PubMed ID: 28281136 [TBL] [Abstract][Full Text] [Related]
3. Using ecological momentary assessment to better understand dietary lapse types. Goldstein SP; Dochat C; Schumacher LM; Manasse SM; Crosby RD; Thomas JG; Butryn ML; Forman EM Appetite; 2018 Oct; 129():198-206. PubMed ID: 29981361 [TBL] [Abstract][Full Text] [Related]
4. Social Environmental Predictors of Lapse in Dietary Behavior: An Ecological Momentary Assessment Study Amongst Dutch Adults Trying to Lose Weight. Roordink EM; Steenhuis IHM; Kroeze W; Hoekstra T; Jacobs N; van Stralen MM Ann Behav Med; 2023 Jul; 57(8):620-629. PubMed ID: 36694372 [TBL] [Abstract][Full Text] [Related]
5. Identifying behavioral types of dietary lapse from a mobile weight loss program: Preliminary investigation from a secondary data analysis. Goldstein SP; Thomas JG; Brick LA; Zhang F; Forman EM Appetite; 2021 Nov; 166():105440. PubMed ID: 34098003 [TBL] [Abstract][Full Text] [Related]
6. Comparing ecological momentary assessment to sensor-based approaches in predicting dietary lapse. Crochiere RJ; Zhang FZ; Juarascio AS; Goldstein SP; Thomas JG; Forman EM Transl Behav Med; 2021 Dec; 11(12):2099-2109. PubMed ID: 34529044 [TBL] [Abstract][Full Text] [Related]
7. The role of everyday activities on likelihood of dietary lapse: an ecological momentary assessment study. Chwyl C; Crochiere RJ; Forman EM J Behav Med; 2023 Jun; 46(3):532-539. PubMed ID: 36342563 [TBL] [Abstract][Full Text] [Related]
8. Are individuals with loss-of-control eating more prone to dietary lapse in behavioural weight loss treatment? An ecological momentary assessment study. Manasse SM; Schumacher LM; Goldstein SP; Martin GJ; Crosby RD; Juarascio AS; Butryn ML; Forman EM Eur Eat Disord Rev; 2018 May; 26(3):259-264. PubMed ID: 29484774 [TBL] [Abstract][Full Text] [Related]
9. Combining passive eating monitoring and ecological momentary assessment to characterize dietary lapses from a lifestyle modification intervention. Goldstein SP; Hoover A; Thomas JG Appetite; 2022 Aug; 175():106090. PubMed ID: 35598718 [TBL] [Abstract][Full Text] [Related]
10. OnTrack: development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Forman EM; Goldstein SP; Zhang F; Evans BC; Manasse SM; Butryn ML; Juarascio AS; Abichandani P; Martin GJ; Foster GD Transl Behav Med; 2019 Mar; 9(2):236-245. PubMed ID: 29617911 [TBL] [Abstract][Full Text] [Related]
11. A multimodal investigation of impulsivity as a moderator of the relation between momentary elevations in negative internal states and subsequent dietary lapses. Manasse SM; Crochiere RJ; Dallal DH; Lieber EW; Schumacher LM; Crosby RD; Butryn ML; Forman EM Appetite; 2018 Aug; 127():52-58. PubMed ID: 29715502 [TBL] [Abstract][Full Text] [Related]
12. Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention. Goldstein SP; Brick LA; Thomas JG; Forman EM Transl Behav Med; 2021 Apr; 11(4):993-1005. PubMed ID: 33902112 [TBL] [Abstract][Full Text] [Related]
13. Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol. Goldstein SP; Hoover A; Evans EW; Thomas JG Digit Health; 2021; 7():2055207620988212. PubMed ID: 33598309 [TBL] [Abstract][Full Text] [Related]
14. Dietary lapses are associated with meaningful elevations in daily caloric intake and added sugar consumption during a lifestyle modification intervention. Goldstein SP; Evans EW; Espel-Huynh HM; Goldstein CM; Karchere-Sun R; Thomas JG Obes Sci Pract; 2022 Aug; 8(4):442-454. PubMed ID: 35949281 [TBL] [Abstract][Full Text] [Related]
15. Application of Machine Learning to Predict Dietary Lapses During Weight Loss. Goldstein SP; Zhang F; Thomas JG; Butryn ML; Herbert JD; Forman EM J Diabetes Sci Technol; 2018 Sep; 12(5):1045-1052. PubMed ID: 29792067 [TBL] [Abstract][Full Text] [Related]
16. Refining an algorithm-powered just-in-time adaptive weight control intervention: A randomized controlled trial evaluating model performance and behavioral outcomes. Goldstein SP; Thomas JG; Foster GD; Turner-McGrievy G; Butryn ML; Herbert JD; Martin GJ; Forman EM Health Informatics J; 2020 Dec; 26(4):2315-2331. PubMed ID: 32026745 [TBL] [Abstract][Full Text] [Related]
17. Is physical activity a risk or protective factor for subsequent dietary lapses among behavioral weight loss participants? Crochiere RJ; Kerrigan SG; Lampe EW; Manasse SM; Crosby RD; Butryn ML; Forman EM Health Psychol; 2020 Mar; 39(3):240-244. PubMed ID: 31916827 [TBL] [Abstract][Full Text] [Related]
18. A randomized trial examining the effect of yoga on dietary lapses and lapse triggers following behavioral weight loss treatment. Unick JL; Dunsiger SI; Bock BC; Sherman SA; Braun TD; Hayes JF; Goldstein SP; Wing RR Obes Sci Pract; 2023 Oct; 9(5):484-492. PubMed ID: 37810521 [TBL] [Abstract][Full Text] [Related]
19. The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle intervention. Goldstein SP; Mwenda KM; Hoover AW; Shenkle O; Jones RN; Thomas JG Digit Health; 2024; 10():20552076241271783. PubMed ID: 39175923 [TBL] [Abstract][Full Text] [Related]