scholarly journals Sustaining e H ealth engagement in a multi‐year weight gain prevention intervention

2019 ◽  
Vol 5 (2) ◽  
pp. 103-110 ◽  
Author(s):  
D. F. Tate ◽  
M. M. Crane ◽  
M. A. Espeland ◽  
A. A. Gorin ◽  
J. G. LaRose ◽  
...  
Keyword(s):  
Weight Gain ◽  
Weight Gain Prevention ◽  
Prevention Intervention

Randomized pilot study of a weight gain prevention intervention for breast cancer patients receiving neoadjuvant chemotherapy.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11090-e11090
Author(s):  
Karen Basen-Engquist ◽  
James L. Murray ◽  
George Baum ◽  
Angelica M. Gutierrez-Barrera ◽  
Banu Arun
Keyword(s):  
Breast Cancer ◽  
Weight Gain ◽  
Cancer Patients ◽  
Weight Gain Prevention ◽  
Breast Cancer Patients ◽  
Prevention Intervention ◽  
Igf I ◽  
Baseline Weight ◽  
Igfbp 3

e11090 Background: Weight gain is a common problem after breast cancer diagnosis and treatment, particularly for women who receive chemotherapy. The weight gain has negative effects on quality of life, increases risk for chronic disease, and may increase risk of breast cancer recurrence. This pilot study tested a behavioral weight gain prevention intervention on weight, IGF-I, and IGFBP-3. Methods: Thirty-nine breast cancer patients receiving neoadjuvant chemotherapy were randomized to the weight gain prevention intervention or usual care. The intervention focused on exercise (resistance training, aerobic) and eating a low energy dense diet. Participants received 20 sessions during chemotherapy (14 in person and 6 by telephone) and 9 sessions after surgery (3 in person, 6 by telephone). They completed weight and other assessments at baseline (t0), mid-chemotherapy (T1), post-chemotherapy (t2), post surgical recovery (T3), after the post-surgical intervention (T4) and long term follow-up 6-9 months post surgery (T5). Serum was collected at T0, T2, T3, and T5 and analyzed for IGF-I and IGFBP-3. Results: Controlling for baseline weight, the intervention group weighed less than the control group at T1-T4, a result which approached significance (p=.08) in the intent to treat analysis. There was also a significant obesity x treatment group interaction, indicating that the intervention was most effective for patients who were obese at baseline (p=0.03). The groups did not differ in weight at the post-intervention follow-up (p=0.839). There was no significant difference between the groups in IGF-I or IGFBP-3. Conclusions: A diet and exercise intervention delivered during and after chemotherapy can promote weight loss in breast cancer patients, but the results may not be sustained after the intervention ends. [caption]Participants’ weights in kilograms, adjusted for baseline weight (least squares means).[caption] [Table: see text]

scholarly journals Genetic causal attributions for weight status and weight loss during a behavioral weight gain prevention intervention

2015 ◽  
Vol 18 (5) ◽  
pp. 476-482 ◽  
Author(s):  
Megan A. McVay ◽  
Dori M. Steinberg ◽  
Sandy Askew ◽  
Kimberly A. Kaphingst ◽  
Gary G. Bennett
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Status ◽  
Causal Attributions ◽  
Weight Gain Prevention ◽  
Prevention Intervention

scholarly journals A Technology-Mediated Behavioral Weight Gain Prevention Intervention for College Students: Controlled, Quasi-Experimental Study

2016 ◽  
Vol 18 (6) ◽  
pp. e133 ◽  
Author(s):  
Delia Smith West ◽  
Courtney M Monroe ◽  
Gabrielle Turner-McGrievy ◽  
Beth Sundstrom ◽  
Chelsea Larsen ◽  
...  
Keyword(s):  
College Students ◽  
Experimental Study ◽  
Weight Gain ◽  
Weight Gain Prevention ◽  
Prevention Intervention ◽  
Quasi Experimental

scholarly journals Formative work to design a digital learning self-assessment and feedback tool to prevent weight gain among college students

2020 ◽  
Vol 6 ◽  
pp. 205520762097945
Author(s):  
Melissa A Napolitano ◽  
Sarah Beth Lynch ◽  
Meghan N Mavredes ◽  
Benjamin D Shambon ◽  
Laurie Posey
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Weight Gain ◽  
Usability Testing ◽  
Formative Research ◽  
Weight Gain Prevention ◽  
Digital Learning ◽  
High Fat ◽  
Prototype Development ◽  
Sugary Beverages

Objective While colleges have implemented brief, tailored interventions for health-risk areas such as alcohol prevention, theoretically-guided digital learning offerings for weight gain prevention have lagged behind in programming and implementation. Thus, the objective was to design and usability test a weight gain prevention digital learning platform for college students with modules targeting key nutrition and physical activity behaviors. Methods Development occurred in iterative phases: formative research, descriptive normative data collection, prototype development, and usability testing. Formative research consisted of background work and survey administration to incoming and current freshmen. Prototype development was guided by theories of behavior change and cognitive processing, and consisted of brief assessment and feedback using written text, graphs, and videos. Iterative usability testing was conducted. Results Current freshmen reported eating more quick order meals per week than incoming freshman, but fewer high-fat snacks and fewer sugary beverages. Current freshmen reported more sedentary time than incoming freshmen. Based on iterative testing results, eight behavioral targets were established: breakfast, high-fat snacks, fried foods, sugary beverages, fruit/vegetables, physical activity, pizza intake, and sedentary behavior. Initial usability testers indicated the modules were easy to understand, held their attention, and were somewhat novel. Analysis of qualitative feedback revealed themes related to content, layout, structure and suggested refinements to the modules. Conclusions A gap exists for evidence-based obesity prevention programs targeted to adolescents as they transition into adulthood. Brief, tailored digital learning interventions show promise towards addressing key behavioral nutrition and physical activity targets among students during the transition to college.

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