Sarah Wilcox
University of South Carolina
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International Journal of Behavioral Nutrition and Physical Activity | 2011
Vaughn W. Barry; Xuemei Sui; Amanda C. McClain; Gregory A. Hand; Sarah Wilcox; Rebecca A. Meriwether; James W. Hardin; Steven N. Blair
BackgroundThe SenseWear™ Armband (SWA) (BodyMedia, Inc. Pittsburgh, PA) is a physical activity and lifestyle monitor that objectively and accurately measures free-living energy balance and sleep and includes software for self-monitoring of daily energy expenditure and energy intake. The real-time feedback of the SWA can improve individual self-monitoring and, therefore, enhance weight loss outcomes.MethodsWe recruited 197 sedentary overweight or obese adults (age, 46.8 ± 10.8 y; body mass index (BMI), 33.3 ± 5.2 kg/m2; 81% women, 32% African-American) from the greater Columbia, South Carolina area. Participants were randomized into 1 of 4 groups, a self-directed weight loss program via an evidence-based weight loss manual (Standard Care, n = 50), a group-based behavioral weight loss program (GWL, n = 49), the armband alone (SWA-alone, n = 49), or the GWL plus the armband (GWL+SWA, n = 49), during the 9-month intervention. The primary outcome was change in body weight and waist circumference. A mixed-model repeated-measures analysis compared change in the intervention groups to the standard care group on weight and waist circumference status after adjusting for age, sex, race, education, energy expenditure, and recruitment wave.ResultsBody weight was available for 62% of participants at 9 months (52% standard care, 70% intervention). There was significant weight loss in all 3 intervention groups (GWL, 1.86 kg, P = 0.05; SWA-alone, 3.55 kg, P = 0.0002; GWL+SWA, 6.59 kg, P < 0.0001) but not in the Standard Care group (0.89 kg, P = 0.39) at month 9. Only the GWL+SWA group achieved significant weight loss at month 9 compared to the Standard Care group (P = 0.04). Significant waist circumference reductions were achieved in all 4 groups at month 9 (Standard Care, 3.49 cm, P = 0.0004; GWL, 2.42 cm, P = 0.008; SWA-alone, 3.59 cm, P < 0.0001; GWL+SWA, 6.77 cm, P < 0.0001), but no intervention group had significantly reduced waist circumference compared to the Standard Care group.ConclusionsContinuous self-monitoring from wearable technology with real-time feedback may be particularly useful to enhance lifestyle changes that promote weight loss in sedentary overweight or obese adults. This strategy, combined with a group-based behavioral intervention, may yield optimal weight loss.Trial RegistrationClinicalTrials.gov: NCT00957008
Contemporary Clinical Trials | 2011
Sarah Wilcox; Patricia A. Sharpe; Deborah Parra-Medina; Michelle L. Granner; Brent Hutto
BACKGROUND Lower socioeconomic status at both the individual and neighborhood level is associated with increased health risks. Weight loss can reduce this risk, but few high quality weight-loss studies target this population. OBJECTIVES STARS tests a culturally appropriate, group-based behavioral and social support intervention on body weight and waist circumference in women from financially disadvantaged neighborhoods. DESIGN A stratified (by BMI) randomized trial. Randomization to group was generated by a random numbers table with allocation concealment by opaque envelopes. METHODS Participants 25-50 years who had a BMI ≥ 25 kg/m(2) and a waist circumference ≥ 88 cm were recruited from 18 census tracts in Columbia, SC with high rates of poverty between November 2008 and November 2010. All participants received a dietary and exercise counseling session. Intervention participants then receive 16 theoretically-based and tailored weekly group sessions followed by 8 weeks of telephone maintenance counseling. Control participants receive 16 weekly health education mailings. Measurements correspond to baseline, post-group intervention, and post-telephone counseling, and for intervention participants, after a 12-week no-contact period. Measurement staff was blinded to group assignment. RESULTS Participants (N=155; n=80 intervention, n=75 minimal intervention control) were primarily African American (86.5%) and averaged 38.9 years with a mean BMI of 40.1 kg/m(2) and waist circumference of 115.4 cm. Food insecurity was reported by 43% of participants. SUMMARY STARS targets an underserved population with an innovative, tailored, and theoretically-grounded, group-based intervention followed by telephone maintenance. If effective, the approach has the potential to be feasible and cost-effective for community delivery.
Health Education & Behavior | 2010
Patricia A. Sharpe; Ericka L. Burroughs; Michelle L. Granner; Sarah Wilcox; Brent Hutto; Carol A. Bryant; Lara E. Peck; Linda Pekuri
A physical activity intervention applied principles of community-based participatory research, the community-based prevention marketing framework, and social cognitive theory. A nonrandomized design included women ages 35 to 54 in the southeastern United States. Women (n = 430 preprogram, n = 217 postprogram) enrolled in a 24-week behavioral intervention and were exposed to a media campaign. They were compared to cross-sectional survey samples at pre- (n = 245) and postprogram (n = 820) from the media exposed county and a no-intervention county (n = 234 pre, n = 822 post). Women in the behavioral intervention had statistically significant positive changes on physical activity minutes, walking, park and trail use, knowledge of mapped routes and exercise partner, and negative change on exercise self-efficacy. Media exposed women had statistically significant pre- to postprogram differences on knowledge of mapped routes. No-intervention women had significant pre- to postprogram differences on physical activity minutes, walking, and knowledge of mapped routes.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy | 2011
Vaughn W. Barry; Amanda C. McClain; Xuemei Sui; James W. Hardin; Gregory A. Hand; Sarah Wilcox; Steven N. Blair
Purpose: The SenseWear™ Armband is an activity monitor developed to improve lifestyle self-monitoring. Currently, few studies assess electronic self-monitoring and weight loss with a lifestyle intervention program. To our knowledge, only one study has used the SenseWear Armband in combination with a lifestyle intervention to improve weight loss, and no studies have evaluated whether a self-monitoring intervention based solely on the armband can promote weight loss. Consequently, the aims of the study were to assess weight loss from electronic self-monitoring, to compare these values to the lifestyle intervention and standard care groups, and to compare weight loss with lifestyle intervention with and without the armband. Patients and methods: We recruited 197 sedentary overweight or obese adults (age, 46.8 ± 10.8 years; BMI, 33.3 ± 5.2 kg/m2) to participate in the 9-month study. Participants were randomized into one of four weight loss groups: 1) the standard care group received a self-directed weight loss program, complete with an evidence-based weight loss manual (standard care, n = 50); 2) a 14-week group-based behavioral weight loss program followed by weekly, biweekly, and monthly telephone counseling calls (GWL, n = 49); 3) the use of the armband to help improve lifestyle self-monitoring (SWA alone, n = 49); or (4) the group-based behavioral weight loss program and follow-up telephone counseling calls plus the armband (GWL + SWA, n = 49). All participants received the evidence-based weight loss manual at baseline. All measures were performed at baseline and months 4 and 9. The primary outcomes were weight loss and waist circumference reduction. Results: This study is a well-designed randomized controlled study powered to detect a 0.5-kg weight loss and 0.6-cm waist circumference reduction in overweight and obese sedentary adults. Conclusion: Innovative technologies are providing lifestyle self-monitoring and weight loss tools. Utilizing these technologies may be an important step in improving the current obesity epidemic.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy | 2011
John C. Sieverdes; Xuemei Sui; Gregory A. Hand; Vaughn W. Barry; Sarah Wilcox; Rebecca A. Meriwether; James W. Hardin; Amanda C. McClain; Steven N. Blair
Purpose: This report examines the blood chemistry and blood pressure (BP) results from the Lifestyle Education for Activity and Nutrition (LEAN) study, a randomized weight loss trial. A primary purpose of the study was to evaluate the effects of real-time self-monitoring of energy balance (using the SenseWear™ Armband, BodyMedia, Inc Pittsburgh, PA) on these health factors. Methods: 164 sedentary overweight or obese adults (46.8 ± 10.8 years; BMI 33.3 ± 5.2 kg/m2; 80% women) took part in the 9-month study. Participants were randomized into 4 conditions: a standard care condition with an evidence-based weight loss manual (n = 40), a group-based behavioral weight loss program (n = 44), an armband alone condition (n = 41), and a group plus armband (n = 39) condition. BP, fasting blood lipids and glucose were measured at baseline and 9 months. Results: 99 participants (60%) completed both baseline and follow-up measurements for BP and blood chemistry analysis. Missing data were handled by baseline carried forward. None of the intervention groups had significant changes in blood lipids or BP when compared to standard care after adjustment for covariates, though within-group lowering was found for systolic BP in group and group + armband conditions, a rise in total cholesterol and LDL were found in standard care and group conditions, and a lowering of triglycerides was found in the two armband conditions. Compared with the standard care condition, fasting glucose decreased significantly for participants in the group, armband, and group + armband conditions (all P < 0.05), respectively. Conclusion: Our results suggest that using an armband program is an effective strategy to decrease fasting blood glucose. This indicates that devices, such as the armband, can be a successful way to disseminate programs that can improve health risk factors. This can be accomplished without group-based behavioral programs, thereby potentially reducing costs.
International Journal of General Medicine | 2011
Meghan Baruth; Sarah Wilcox; James F. Sallis; Abby C. King; Bess H. Marcus; Steven N. Blair
Primary care facilities may be a natural setting for delivering interventions that focus on behaviors that improve cardiovascular disease (CVD) risk factors. The purpose of this study was to examine the 24-month effects of the Activity Counseling Trial (ACT) on CVD risk factors, to examine whether changes in CVD risk factors differed according to baseline risk factor status, and to examine whether changes in fitness were associated with changes in CVD risk factors. ACT was a 24-month multicenter randomized controlled trial to increase physical activity. Participants were 874 inactive men and women aged 35–74 years. Participants were randomly assigned to one of three arms that varied by level of counseling, intensity, and resource requirements. Because there were no significant differences in change over time between arms on any of the CVD risk factors examined, all arms were combined, and the effects of time, independent of arm, were examined separately for men and women. Time × Baseline risk factor status interactions examined whether changes in CVD risk factors differed according to baseline risk factor status. Significant improvements in total cholesterol, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol, the ratio of total cholesterol to HDL-C, and triglycerides were seen in both men and women who had high (or low for HDL-C) baseline levels of risk factors, whereas significant improvements in diastolic blood pressure were seen only in those men with high baseline levels. There were no improvements in any risk factors among participants with normal baseline levels. Changes in fitness were associated with changes in a number of CVD risk factors. However, most relationships disappeared after controlling for changes in body weight. Improvements in lipids from the ACT interventions could reduce the risk of coronary heart disease in people with already high levels of lipids by 16%–26% in men and 11%–16% in women. Interventions that can be implemented in health care settings nationwide and result in meaningful population-wide changes in CVD risk factors are needed. The ACT physical activity interventions produced substantial improvements among men and women with elevated CVD risk factors.
Arthritis Care and Research | 2006
Sarah Wilcox; Cheryl Der Ananian; Jill Abbott; JoEllen Vrazel; Cornelia Ramsey; Patricia A. Sharpe; Teresa J. Brady
Journal of Physical Activity and Health | 2007
Michelle L. Granner; Patricia A. Sharpe; Brent Hutto; Sarah Wilcox; Cheryl L. Addy
Journal of Physical Activity and Health | 2005
Sarah Wilcox; Cheryl Der Ananian; Patricia A. Sharpe; Jennifer Robbins; Theresa Brady
Journal of Physical Activity and Health | 2005
Sarah Wilcox; Patricia A. Sharpe; Brent Hutto; Michelle L. Granner