Randomized Trial of a Behavioral Weight Loss Intervention for Low-income Women: The Weight Wise Program

Obesity ◽  
2009 ◽  
Vol 17 (10) ◽  
pp. 1891-1899 ◽  
Author(s):  
Carmen D. Samuel-Hodge ◽  
Larry F. Johnston ◽  
Ziya Gizlice ◽  
Beverly A. Garcia ◽  
Sara C. Lindsley ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Trial ◽  
Low Income ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention ◽  
Low Income Women

scholarly journals Translation of a behavioral weight loss intervention for mid-life, low-income women in local health departments

Obesity ◽  
2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Carmen D. Samuel-Hodge ◽  
Beverly A. Garcia ◽  
Larry F. Johnston ◽  
Ziya Gizlice ◽  
Andy Ni ◽  
...  
Keyword(s):  
Weight Loss ◽  
Low Income ◽  
Local Health ◽  
Weight Loss Intervention ◽  
Health Departments ◽  
Local Health Departments ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention ◽  
Low Income Women

Cost-effectiveness of a behavioral weight loss intervention for low-income women: The Weight-Wise Program

2009 ◽  
Vol 49 (5) ◽  
pp. 390-395 ◽  
Author(s):  
Alison Gustafson ◽  
Olga Khavjou ◽  
Sally C. Stearns ◽  
Thomas C. Keyserling ◽  
Ziya Gizlice ◽  
...  
Keyword(s):  
Weight Loss ◽  
Cost Effectiveness ◽  
Low Income ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention ◽  
Low Income Women

Rationale, design, and sample characteristics of a practical randomized trial to assess a weight loss intervention for low-income women: The Weight-Wise II Program

2012 ◽  
Vol 33 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Carmen D. Samuel-Hodge ◽  
Beverly A. Garcia ◽  
Larry F. Johnston ◽  
Jennifer L. Kraschnewski ◽  
Alison A. Gustafson ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Trial ◽  
Low Income ◽  
Weight Loss Intervention ◽  
Sample Characteristics ◽  
Low Income Women

scholarly journals Feasibility of Integration of Yoga in a Behavioral Weight‐Loss Intervention: A Randomized Trial

Obesity ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 512-520
Author(s):  
John M. Jakicic ◽  
Kelliann K. Davis ◽  
Renee J. Rogers ◽  
Sally A. Sherman ◽  
Susan Barr ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Trial ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention

scholarly journals Adapting a Behavioral Weight Loss Intervention for Delivery via Facebook: A Pilot Series Among Low-Income Postpartum Women

2018 ◽  
Vol 2 (2) ◽  
pp. e18 ◽  
Author(s):  
Valerie J Silfee ◽  
Andrea Lopez-Cepero ◽  
Stephenie C Lemon ◽  
Barbara Estabrook ◽  
Oanh Nguyen ◽  
...  
Keyword(s):  
Weight Loss ◽  
Low Income ◽  
Postpartum Women ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention

scholarly journals Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 39
Author(s):  
Stephanie L. Orstad ◽  
Lauren Gerchow ◽  
Nikhil R. Patel ◽  
Meghana Reddy ◽  
Christina Hernandez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Low Income ◽  
Activity Monitor ◽  
Accelerometer Data ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Behavioral Weight Loss Intervention ◽  
Monitor Data

Despite the popularity of commercially available wearable activity monitors (WAMs), there is a paucity of consistent methodology for analyzing large amounts of accelerometer data from these devices. This multimethod study aimed to inform appropriate Fitbit wear thresholds for physical activity (PA) outcomes assessment in a sample of 616 low-income, majority Latina patients with obesity enrolled in a behavioral weight-loss intervention. Secondly, this study aimed to understand intervention participants’ barriers to Fitbit use. We applied a heart rate (HR) criterion (≥10 h/day) and a step count (SC) criterion (≥1000 steps/day) to 100 days of continuous activity monitor data. We examined the prevalence of valid wear and PA outcomes between analytic subgroups of participants who met the HR criterion, SC criterion, or both. We undertook qualitative analysis of research staff notes and participant interviews to explore barriers to valid Fitbit data collection. Overall, one in three participants did not meet the SC criterion for valid wear in Weeks 1 and 13; however, we found the SC criterion to be more inclusive of participants who did not use a smartphone than the HR criterion. Older age, higher body mass index (BMI), barriers to smartphone use, device storage issues, and negative emotional responses to WAM-based self-monitoring may predict higher proportions of invalid WAM data in weight-loss intervention research.

Abstract P249: A Behavioral Weight Loss Intervention is Effective for Change in CVD Risk Factors in Young Adults: The IDEA Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
John M Jakicic ◽  
Kelliann K Davis ◽  
Bethany Barone Gibbs ◽  
Diane Helsel ◽  
Wendy C King ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Weight Loss ◽  
Young Adults ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiovascular Disease Risk Factors ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention

Introduction: Few studies have examined behavioral weight loss interventions with respect to change in cardiovascular disease risk factors in young adults (aged 18 to 35 years). Hypothesis: We tested the hypothesis that a 6 month behavioral weight loss intervention resulted in significant improvements in selective cardiovascular disease risk factors in young adults. Methods: Data are presented as median [25 th , 75 th percentiles]. 470 participants (age: 30.9 [27.8, 33.7] years); BMI: 31.2 [28.4, 34.3] kg/m 2 ) were enrolled in a 6 month behavioral weight loss intervention that included weekly group sessions and prescribed an energy restricted diet and moderate-to-vigorous physical activity. Assessments included weight using a standardized protocol, resting blood pressure, and fasting lipids, glucose, and insulin. Statistical significance of change was according to tests of symmetry or the Wilcoxon matched pairs signed ranks test. Results: The primary outcome (weight) was available for 424 of the 470 participants (90.2%). Weight significantly decreased (-7.8 kg [-12.2, -3.7]) (p<0.0001). Systolic (-4.0 mmHg [-8.5, 0.5] and diastolic blood pressure (-3.0 mmHg [-6.5, 1.0]) decreased (p<0.0001). Total cholesterol (-13 mg/dl [-28.0, 2.0]), LDL cholesterol (-9.5 mg/dl [-21.7, 2.0]), triglycerides (-8.5 mg/dl [-44.0, 9.0]), glucose (-4.0 mg/dl [-8.0, 1.0]), and insulin (-2.6 mIU/L [-5.9, 0.7]) decreased (p<0.0001, n=416). There was not a significant change in HDL cholesterol (p=0.72). Conclusions: In conclusion, after 6 months, weight loss was observed in young adults assigned to this behavioral intervention that focused on physical activity and diet modification. They tended to also have improved cardiovascular disease risk factors. This may demonstrate an approach to reducing cardiovascular disease risk in young adults. Supported by NIH (U01HL096770) and AHA (12BGIA9410032)

Sign in / Sign up

Export Citation Format

Share Document