scholarly journals Are standard behavioral weight loss programs effective for young adults?

2009 ◽  
Vol 33 (12) ◽  
pp. 1374-1380 ◽  
Author(s):  
J Gokee-LaRose ◽  
A A Gorin ◽  
H A Raynor ◽  
M N Laska ◽  
R W Jeffery ◽  
...  
Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
John M Jakicic ◽  
Kelliann K Davis ◽  
Bethany Barone Gibbs ◽  
Diane Helsel ◽  
Wendy C King ◽  
...  

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)


SLEEP ◽  
2013 ◽  
Vol 36 (10) ◽  
pp. 1419-1420
Author(s):  
Jessie P. Bakker ◽  
Sanjay R. Patel

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Laura P Svetkey ◽  
Stephen S Intille ◽  
Bryan C Batch ◽  
Leonor Corsino ◽  
Crystal C Tyson ◽  
...  

Background: Obesity affects young adults, leading to future morbidity and mortality. Early behavioral intervention may promote long-term weight control. Mobile technology-based (mHealth) interventions may be particularly effective in young adults. We compared both an mHealth behavioral weight loss intervention and a personal coaching weight loss intervention to no intervention (and to each other) in overweight/obese young adults. Methods: We randomized 365 generally healthy adults age 18-35 years with BMI > 25 kg/m2 (overweight or obese) to 24-months of intervention delivered primarily via investigator-designed cell phone (CP) or intervention delivered primarily via in-person (6 weekly) and by phone (23 monthly) coaching (PC), compared to usual care control group (Control). Primary outcome was weight change from baseline to 24 months. This study was conducted as part of the Early Adult Reduction of weight through LifestYle (EARLY) cooperative trials. Results: Randomized participants (N=365) had mean BMI 35 kg/m2, mean age 29yrs, were 70% women, 36% African American, 6% Latino. Final weight was obtained in 86%; missing weight was multiply imputed. At 24 months, weight loss was not different in either PC or CP vs Control (see Figure). Weight loss in PC was significantly greater than Control at 6 months. From baseline to 24 months, clinically significant weight loss (> 3% per national guidelines) occurred in 40% of PC, 34% of CP, and 30% of Control. Conclusions: mHealth alone may not be sufficient for weight loss in young adults but mHealth-enhanced contact with an interventionist has a modest short-term effect. Future interventions should maximize the complementarity of mHealth and personal contact to achieve larger and more sustained effect.


1984 ◽  
Vol 28 (3) ◽  
pp. 189-196 ◽  
Author(s):  
Rena R. Wing ◽  
Leonard H. Epstein ◽  
Marsha D. Marcus ◽  
David J. Kupfer

2008 ◽  
Vol 46 (9) ◽  
pp. 1090-1095 ◽  
Author(s):  
Kelly H. Webber ◽  
Deborah F. Tate ◽  
J. Michael Bowling

2016 ◽  
Vol 40 (4) ◽  
pp. 462-480 ◽  
Author(s):  
Y. Zheng ◽  
M. A. Terry ◽  
C. A. Danford ◽  
L. J. Ewing ◽  
S. M. Sereika ◽  
...  

The purpose of the study was to describe participants’ experience of daily weighing and to explore factors influencing adherence to daily weighing among individuals who were successful in losing weight during a behavioral weight loss intervention. Participants completed a 12-month weight loss intervention study that included daily self-weighing using a Wi-Fi scale. Individuals were eligible to participate regardless of their frequency of self-weighing. The sample ( N = 30) was predominantly female (83.3%) and White (83.3%) with a mean age of 52.9 ± 8.0 years and mean body mass index of 33.8 ± 4.7 kg/m2. Five main themes emerged: reasons for daily weighing (e.g., feel motivated, being in control), reasons for not weighing daily (e.g., interruption of routine), factors that facilitated weighing, recommendations for others about daily weighing, and suggestions for future weight loss programs. Our results identified several positive aspects to daily self-weighing, which can be used to promote adherence to this important weight loss strategy.


2020 ◽  
Vol 41 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Ping H. Johnson ◽  
James J. Annesi

Emerging adults are less likely to participate in and more likely to drop out of behavioral weight loss programs. Thirty-five female emerging adults who dropped out of a behavioral weight loss program, Weight Loss For Life, completed an online survey. Main reasons for dropout relate to insufficient behavioral skills and unique characteristics of emerging adults, especially when in college (e.g., citing working and getting good grades to be more important than losing weight). Most desired >50% of program online, having virtual groups, and using small groups to model desirable behaviors. Around $140 and $180 seemed sufficient to them to encourage participation in all scheduled treatment sessions and reaching overall weight loss goal, respectively. Future behavioral weight loss programs for emerging adults may consider helping develop time management and task management, decision-making that focuses on longer term outcomes, and immediate tangible rewards similar to what college students typically receive after they complete each class assignment.


2017 ◽  
Vol 24 (7) ◽  
pp. 870-887 ◽  
Author(s):  
Jessica Gokee LaRose ◽  
Deborah F Tate ◽  
Autumn Lanoye ◽  
Joseph L Fava ◽  
Elissa Jelalian ◽  
...  

Emerging adults are at high risk of obesity but behavioral weight loss programs do not meet their needs. Emerging adults ( N = 52, age = 22.3 ± 2 years, body mass index = 34.2 ± 5.5 kg/m2, 46.2% non-Hispanic White) were randomly assigned to one of three behavioral weight loss programs adapted based on formative work: face-to-face behavioral weight loss, web-based behavioral weight loss, or web plus optional community sessions (Hybrid). Assessments occurred at 0 and 3 months. Engagement and self-monitoring were highest in Hybrid. Intent-to-treat weight losses were −2.8 ± 2.9 percent in face-to-face behavioral weight loss, −2.2 ± 4.5 percent in web-based behavioral weight loss, and 4.8 ± 4.9 percent in Hybrid. Percent achieving ⩾5 percent weight loss was highest in Hybrid (63%). Findings suggest potential for adapted behavioral weight loss to promote engagement and weight loss in emerging adults.


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