Scott B Going

Scott B Going

Director, School of Nutritional Sciences and Wellness
Professor, Nutritional Sciences
Professor, Public Health
Professor, Physiology
Professor, Physiological Sciences - GIDP
Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-3432

Work Summary

Scott Going is an expert in models and methods for assessment of changes in body composition during growth, and with aging, and is currently investigating the effects of chronic exercise versus hormone replacement therapy on bone, soft tissue composition and muscle strength in postmenopausal women, as well as the role of exercise in obesity prevention in children.

Research Interest

Current projects include:The Bone, Estrogen and Strength Training (BEST) study, a randomized prospective study of the effects of hormone replacement therapy on bone mineral density, soft tissue composition, and muscle strength in postmenopausal women (National Institutes of Health). The Profile-based Internet-linked Obesity Treatment study (PILOT), a randomized study of internet support for weight maintenance after weight loss in peri-menopausal women (National Institutes of Health). The Trial of Activity for Adolescent Girls (TAAG) study, a multi-center, school-based activity trial designed to prevent the usual decline in physical activity in adolescent girls (National Institutes of Health). The Adequate Calcium Today (ACT) study, a randomized multi-center study of a behavioral intervention to promote healthy eating, calcium intake and bone development in adolescent girls (United States Department of Agriculture). The Healthy Weight in Adolescents study, a randomized, multi-center study of the effects of a science-based curriculum focused on concepts of energy balance on body weight and composition in adolescent boys and girls (United States Department of Agriculture). The KNEE study, a randomized clinical trial of the effects of resistance exercise on disease progression, pain, and functional capacity in osteoarthritis patients (National Institutes of Health). The STRONG study, a randomized clinical trial of the effects of resistance exercise and Remicaid on disease progression, pain, muscle strength and functional capacity in rheumatoid arthritis patients (Centocor, Inc.). Partners for Healthy Active Children, Campañeros Para Niños Sano y Actives, designed to create and implement research-based physical education and nutrition curricula at YMCA after-school programs and Sunnyside District elementary schools, in alignment with the State o Arizona , Health and Physical Activity standards (Carol M. White Physical Education Program CFDA #84.215F). Longitudinal Changes in Hip Geometry, an observational and experimental cohort study of changes in muscle mass, hip structural parameters and hip bone strength in middle-aged and older women in the Women's Healthy Initiative study (National Institutes of Health).

Publications

Figueroa, A., Going, S. B., Milliken, L. A., Blew, R. M., Sharp, S., Teixeira, P. J., & Lohman, T. G. (2003). Effects of exercise training and hormone replacement therapy on lean and fat mass in postmenopausal women. Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 58(3), 266-270.

PMID: 12634293;Abstract:

Background. Menopause is associated with decreases in lean mass and increases in fat mass. Serum hormone levels and hormone replacement therapy (HRT) may modify the effects of exercise training on body composition in postmenopausal women. Methods. We assessed the changes in total body and regional lean soft tissue and fat mass (using dual-energy x-ray absorptiometry) in 94 sedentary postmenopausal women, aged 40-65 years, after 12 months of resistance and weight-bearing aerobic exercise training. Women currently on oral HRT (n = 39) and not on HRT (n = 55) were randomized within groups to exercise and no exercise, resulting in four groups: exercise + HRT (n = 20), HRT (n = 22), exercise (n = 24), and control (n = 28). Fasting blood samples were measured for resting serum total levels of estrone, estradiol, cortisol, androstenedione, growth hormone, and insulin-like growth factor 1 at baseline and 12 months. Results. We found significant effects of exercise on increases in total body, arm, and leg lean soft tissue mass, and decreases in leg fat mass and percentage of body fat. There were no interaction effects of exercise and HRT on the changes in muscle strength and body composition. No significant changes in total hormone levels were found after 12 months. Conclusions. Exercise training resulted in significant beneficial changes in lean soft tissue and fat mass in early postmenopausal women. These changes in body composition were neither influenced by prolonged HRT use nor accompanied by changes in total levels of the hormones determined in this study.

Siwik, V., Kutob, R., Ritenbaugh, C., Cruz, L., Senf, J., Aickin, M., Going, S., & Shatte, A. (2013). Intervention in overweight children improves body mass index (BMI) and physical activity. Journal of the American Board of Family Medicine, 26(2), 126-137.

PMID: 23471926;Abstract:

Background: Childhood obesity is a growing epidemic in family medicine with few clinical treatment options. We implemented and evaluated a group office-visit intervention by family physicians for overweight children and their parents, emphasizing nutrition and physical activity within a resiliency psychosocial model. Methods: The intervention lasted for 3 months, with half of the children crossing over to intervention after 6 months in the study. Participants included 35 children who met eligibility criteria of being in third through fifth grades and having a body mass index (BMI) above the 85th percentile. The 3-month, 12-session intervention, "Choices," included topics on nutrition, physical activity, and resiliency. The sessions were developed for delivery by a family physician and a nutritionist who received training in positive psychology and resilience skills. Main outcome measures were BMI z scores for age and sex and z scores for weight by age and sex, as well as qualitative interviews to understand individual and family processes. Results: The intervention resulted in a significant effect on one primary outcome, BMI z score (- 0.138 per 9 months [P = .017]) and a trend toward significance on the weight for age z score (- 0.87 per 9 months [P = .09]). The net shift of activity from the low metabolic equivalents (METs) to the high METs had an intervention effect of 2.84 METs (P = .037). Families reported lasting changes in behaviors and attitudes. Discussion: The innovative approach used in this study demonstrated modest efficacy in reducing BMI z score, changing physical activity levels, and possibly shifting family dynamics.

Bea, J. W., Lee, M. C., Going, S. B., Hsu, C., Lohman, T. G., Blew, R. M., Lee, V. R., Caan, B., & Kwan, M. (2016). Dual energy X-ray absorptiometry spine scans to determine abdominal fat in postmenopausal women. American Journal of Human Biology, 28(6), 918-926. doi:10.1002/ajhb.22892
Teixeira, P. J., Going, S. B., Sardinha, L. B., & Lohman, T. G. (2005). A review of psychosocial pre-treatment predictors of weight control. Obesity Reviews, 6(1), 43-65.

PMID: 15655038;Abstract:

Prompted by the large heterogeneity of individual results in obesity treatment, many studies have attempted to predict weight outcomes from information collected from participants before they start the programme. Identifying significant predictors of weight loss outcomes is central to improving treatments for obesity, as it could help professionals focus efforts on those most likely to benefit, suggest supplementary or alternative treatments for those less likely to succeed, and help in matching individuals to different treatments. To date, however, research efforts have resulted in weak predictive models with limited practical usefulness. The two primary goals of this article are to review the best individual-level psychosocial pre-treatment predictors of short- and long-term (1 year or more) weight loss and to identify research needs and propose directions for further work in this area. Results from original studies published since 1995 show that few previous weight loss attempts and an autonomous, self-motivated cognitive style are the best prospective predictors of successful weight management. In the more obese samples, higher initial body mass index (BMI) may also be correlated with larger absolute weight losses. Several variables, including binge eating, eating disinhibition and restraint, and depression/mood clearly do not predict treatment outcomes, when assessed before treatment. Importantly, for a considerable number of psychosocial constructs (e.g. eating self-efficacy, body image, self-esteem, outcome expectancies, weight-specific quality of life and several variables related to exercise), evidence is suggestive but inconsistent or too scant for an informed conclusion to be drawn. Results are discussed in the context of past and present conceptual and methodological limitations, and several future research directions are described.

Williams, D. P., Going, S. B., Milliken, L. A., Hall, M. C., & Lohman, T. G. (1995). Practical techniques for assessing body composition in middle-aged and older adults. Medicine and Science in Sports and Exercise, 27(5), 776-783.

PMID: 7674884;Abstract:

The purpose of this study was to compare the relationships of anthropometric, bioelectrical impedance analysis (BIA), and near infrared interactance (NIR) measurements with a multiple-component (MC) criterion estimate of body composition de rived from body density (D), body water (W), and bone mineral (B) in 48 white adults aged 49-80 yr. Relative errors of predicting the MC criterion from the practical measurements were determined by simple regressions within gender and calculated as the SEE divided by the criterion mean and expressed as a percentage. Relative errors were lowest for the BIA variable, height2/resistance (4.8-5.0%), higher for body mass index and the sum of 10 skinfold thicknesses (7.0-14.5%), and highest for NIR derived optical density readings at the biceps and the sum of 10 sites (10.8- 15.8%). Due to the low relative prediction error for height2/resistance, sex-specific BIA formulas for estimating fat-free mass from D, W, and B (FFM- DWB) were developed. The SEEs for predicting FFM DWB from BIA, weight, and age were both 1.5 kg in women and men. Because BIA is not limited to ambulatory subjects, it is concluded that BIA may be a particularly useful, practical technique for estimating body composition in older adults.