Outcome by Gender in the Veterans Health Administration Motivating Overweight/Obese Veterans Everywhere Weight Management Program.
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2018-01
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Abstract
Background
Few evaluations of the Veterans Health Administration Motivating Overweight/Obese Veterans Everywhere (MOVE!) weight management program have assessed 6-month weight change or factors associated with weight change by gender.Materials and methods
Analysis of administrative data from a national sample of veterans in the VA MOVE!Program
Results
A total of 62,882 participants were included, 14.6% were women. Compared with men, women were younger (49.6 years [standard deviation, SD, 10.8] vs. 59.3 years [SD, 9.8], p < 0.0001), less likely to be married (34.1% vs. 56.0%, p < 0.0001), and had higher rates of post-traumatic stress disorder (26.0% vs. 22.4%, p < 0.0001) and depression (49.3% vs. 32.9%, p < 0.001). The mean number of MOVE! visits attended by women was lower than men (5.6 [SD, 5.3] vs. 6.0 [SD, 5.9], p < 0.0001). Women, compared with men, reported lower rates of being able to rely on family or friends (35.7% vs. 40.8%, p < 0.0001). Observed mean percent change in weight for women was -1.5% (SD, 5.2) and for men was -1.9% (SD, 4.8, p < 0.0001). The odds of ≥5% weight loss were no different for women (body-mass index [BMI] >25 kg/m2) compared with men (BMI >25 kg/m2; odds ratio, 1.05 [95% confidence interval, 0.99-1.11; p = 0.13]).Conclusions
Women veterans lost less weight overall compared with men. There was no difference in the odds of achieving clinically significant weight loss by gender. The majority of women and men enrolled lost <5% weight despite being enrolled in a lifestyle intervention. Future studies should focus on identifying program- and participant-level barriers to weight loss.Type
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Publication Info
Batch, Bryan C, Karen Goldstein, William S Yancy, Linda L Sanders, Susanne Danus, Steven C Grambow and Hayden B Bosworth (2018). Outcome by Gender in the Veterans Health Administration Motivating Overweight/Obese Veterans Everywhere Weight Management Program. Journal of women's health (2002), 27(1). pp. 32–39. 10.1089/jwh.2016.6212 Retrieved from https://hdl.handle.net/10161/29895.
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Scholars@Duke
Bryan Courtney Batch
Type 2 Diabetes, Obesity/Overweight, Behavior change, Non-pharmacologic intervention, Health disparities
Karen M. Goldstein
Dr. Goldstein's research interests include women's health, cardiovascular risk reduction, evidence synthesis methodology and peer support.
Steven C. Grambow
I am an academic statistician with a focus on educational leadership and administration, teaching, mentoring, and collaborative clinical research. I serve as the director of multiple education programs, both formal degree programs and certificate-based training programs. I also provide administrative oversight of multiple graduate degree programs and educational initiatives focusing on clinical and translational science workforce development at the student, staff, and faculty levels.
I have many years of experience with in-person and online teaching across a variety of teaching venues (formal degree programs, domestic and international certificate-based training programs, faculty development seminars, residency/fellowship training programs) and health sciences audiences (medical students, residents, fellows, faculty, and other health professionals), including more than 21 years as a statistics course director in the Duke Clinical Research Training Program.
As a collaborative scientist I have experience with a broad range of clinical research areas and clinical research designs, including observational studies, epidemiology investigations, and randomized clinical trials, including those utilizing web, mobile, and telemedicine-based health behavior interventions. I have collaborated on projects spanning a broad range of clinical research areas, including amyotrophic lateral sclerosis (ALS), post-traumatic stress disorder (PTSD), Prader-Willi syndrome (PWS), prostate cancer, quality of colorectal cancer care, osteoarthritis, lifestyle modification through weight loss, CVD risk reduction through hypertension control, smoking cessation, and substance abuse recovery.
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