Innovation in Weight Loss Intervention Programs: An Examination of a 3D Virtual World Approach

2012 ◽  
Author(s):  
Jeanne D. Johnston ◽  
Anne P. Massey ◽  
Celeste DeVaneaux
Keyword(s):  
Weight Loss ◽  
Virtual World ◽  
Intervention Programs ◽  
Weight Loss Intervention ◽  
3D Virtual World

Expanding the criteria for defining success when evaluating weight loss intervention programs

2000 ◽  
Vol 1 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Roger G Sargent ◽  
Rita F DiGioacchino ◽  
Peter M Miller ◽  
Patricia A Sharpe ◽  
James R Hussey
Keyword(s):  
Weight Loss ◽  
Intervention Programs ◽  
Weight Loss Intervention

Predicting the risk of becoming lost to follow-up in a lifestyle weight-loss intervention

2013 ◽  
Author(s):  
Danielle M. Lespinasse ◽  
Kristen E. Medina ◽  
Stacey N. Maurer ◽  
Samantha A. Minski ◽  
Renee T. Degener ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Loss Intervention ◽  
Lost To Follow Up

scholarly journals The Relationship between Body Mass Index and Mammographic Density during a Premenopausal Weight Loss Intervention Study

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3245
Author(s):  
Emma C. Atakpa ◽  
Adam R. Brentnall ◽  
Susan Astley ◽  
Jack Cuzick ◽  
D. Gareth Evans ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Body Mass ◽  
Breast Density ◽  
Small Sample ◽  
Weight Loss Intervention ◽  
Short Term ◽  
Dense Area ◽  
Short Term Change ◽  
Term Change

We evaluated the association between short-term change in body mass index (BMI) and breast density during a 1 year weight-loss intervention (Manchester, UK). We included 65 premenopausal women (35–45 years, ≥7 kg adult weight gain, family history of breast cancer). BMI and breast density (semi-automated area-based, automated volume-based) were measured at baseline, 1 year, and 2 years after study entry (1 year post intervention). Cross-sectional (between-women) and short-term change (within-women) associations between BMI and breast density were measured using repeated-measures correlation coefficients and multivariable linear mixed models. BMI was positively correlated with dense volume between-women (r = 0.41, 95%CI: 0.17, 0.61), but less so within-women (r = 0.08, 95%CI: −0.16, 0.28). There was little association with dense area (between-women r = −0.12, 95%CI: −0.38, 0.16; within-women r = 0.01, 95%CI: −0.24, 0.25). BMI and breast fat were positively correlated (volume: between r = 0.77, 95%CI: 0.69, 0.84, within r = 0.58, 95%CI: 0.36, 0.75; area: between r = 0.74, 95%CI: 0.63, 0.82, within r = 0.45, 95%CI: 0.23, 0.63). Multivariable models reported similar associations. Exploratory analysis suggested associations between BMI gain from 20 years and density measures (standard deviation change per +5 kg/m2 BMI: dense area: +0.61 (95%CI: 0.12, 1.09); fat volume: −0.31 (95%CI: −0.62, 0.00)). Short-term BMI change is likely to be positively associated with breast fat, but we found little association with dense tissue, although power was limited by small sample size.

Investigating IGF-II and IGF2R serum markers as predictors of body weight loss following an 8-week acute weight loss intervention: PREVIEW sub-study

2021 ◽  
Vol 15 (1) ◽  
pp. 42-48
Author(s):  
Kate L. Lee ◽  
Marta P. Silvestre ◽  
Nour H. AlSaud ◽  
Mikael Fogelholm ◽  
Anne Raben ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Weight Loss ◽  
Serum Markers ◽  
Weight Loss Intervention
Sign in / Sign up

Export Citation Format

Share Document