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

Milliken, L. A., Wilhelmy, J., Martin, C. J., Finkenthal, N., Cussler, E., Metcalfe, L., Guido, T. A., Going, S. B., & Lohman, T. G. (2006). Depressive symptoms and changes in body weight exert independent and site-specific effects on bone in postmenopausal women exercising for 1 year. Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 61(5), 488-494.

PMID: 16720746;Abstract:

Background. Lower bone mineral density (BMD) has been documented in clinically depressed populations, and depression is the second most common chronic medical condition in general medical practice. Therefore, the purpose of this study was to determine whether depressive symptoms, vitality, and body weight changes were related to 1-year BMD changes after accounting for covariates. Methods. Healthy postmenopausal women (n = 320; 40-65 years) were recruited, and 266 women completed the study. Participants were 3-10 years postmenopausal, sedentary, and either taking hormone replacement therapy (1-3.9 years) or not taking it (at least 1 year). Exclusion criteria were: current smoking status, history of fractures, low BMD, body mass index >32.9 or 19.0, or use of bone altering medications. Regional BMD was measured from dual-energy x-ray absorptiometry at baseline and 1 year. Self-reported depressive symptoms and vitality were measured using standard questionnaires. Results. Both the vitality and depressive symptoms scores were related to BMD changes at the femur neck but not at the greater trochanter or spine. Weight change was a predictor of BMD changes in the trochanter and spine but not in the femoral neck. Weight change and vitality and/or depressive symptoms had differential and site-specific effects on BMD changes at the hip. Vitality and depressive symptoms related to femoral neck changes and weight change related to greater trochanter changes. Conclusions. The negative impact of depressive symptoms on BMD in this population of postmenopausal women was independent of body weight or other behavioral factors such as calcium compliance or exercise. Copyright 2006 by The Gerontological Society of America.

Blew, R. M., Going, S., Lee, V. R., Farr, J. N., & Schiferl, D. J. (2013). Standardizing Evaluation of pQCT Image Quality in the Presence of Subject Movement: Qualitative Versus Quantitative Assessment. Calcified tissue international.

Peripheral quantitative computed tomography (pQCT) is an essential tool for assessing bone parameters of the limbs, but subject movement and its impact on image quality remains a challenge to manage. The current approach to determine image viability is by visual inspection, but pQCT lacks a quantitative evaluation. Therefore, the aims of this study were to (1) examine the reliability of a qualitative visual inspection scale and (2) establish a quantitative motion assessment methodology. Scans were performed on 506 healthy girls (9-13 years) at diaphyseal regions of the femur and tibia. Scans were rated for movement independently by three technicians using a linear, nominal scale. Quantitatively, a ratio of movement to limb size (%Move) provided a measure of movement artifact. A repeat-scan subsample (n = 46) was examined to determine %Move's impact on bone parameters. Agreement between measurers was strong (intraclass correlation coefficient = 0.732 for tibia, 0.812 for femur), but greater variability was observed in scans rated 3 or 4, the delineation between repeat and no repeat. The quantitative approach found ≥95 % of subjects had %Move 25 %. Comparison of initial and repeat scans by groups above and below 25 % initial movement showed significant differences in the >25 % grouping. A pQCT visual inspection scale can be a reliable metric of image quality, but technicians may periodically mischaracterize subject motion. The presented quantitative methodology yields more consistent movement assessment and could unify procedure across laboratories. Data suggest a delineation of 25 % movement for determining whether a diaphyseal scan is viable or requires repeat.

Houtkooper, L. B., Going, S. B., Lohman, T. G., Roche, A. F., & Loan, M. V. (1992). Bioelectrical impedance estimation of fat-free body mass in children and youth: A cross-validation study. Journal of Applied Physiology, 72(1), 366-373.

PMID: 1537738;Abstract:

The purposes of this study were to develop and cross-validate the 'best' prediction equations for estimating fat-free body mass (FFB) from bioelectrical impedance in children and youth. Predictor variables included height2/resistance (RI) and RI with anthropometric data. FFB was determined from body density (underwater weighing) and body water (deuterium dilution) (FFB-DW) and from age-corrected density equations, which account for variations in FFB water and bone content. Prediction equations were developed using multiple regression analyses in the validation sample (n = 94) and cross-validated in three other samples (n = 131). R2 and standard error of the estimate (SEE) values ranged from 0.80 to 0.95 and 1.3 to 3.7 kg, respectively. The four samples were then combined to develop a recommended equation for estimating FFB from three regression models. R2 and SEE values and coefficients of variation from these regression equations ranged from 0.91 to 0.95, 2.1 to 2.9 kg, and 5.1 to 7.0%, respectively. As a result of all cross-validation analyses, we recommend the equation FFB-DW = 0.61 RI + 0.25 body weight + 1.31, with a SEE of 2.1 kg and adjusted R2 of 0.95. This study demonstrated that RI with body weight can predict FFB with good accuracy in Whites 10-19 yr old.

Houtkooper, L. B., Ritenbaugh, C., Aickin, M., Lohman, T. G., Going, S. B., Weber, J. L., Greaves, K. A., Boyden, T. W., Pamenter, R. W., & Hall, M. C. (1995). Nutrients, body composition and exercise are related to change in bone mineral density in premenopausal women. Journal of Nutrition, 125(5), 1229-1237.

PMID: 7738683;Abstract:

This study determined relationships among total energy intake, nutrient intake, body composition, exercise group status, and annual rates of change (slopes) in bone mineral density in 66 Caucasian premenopausal women (mean age, 34.4 ± 2.7) taking calcium supplements. Body composition components measured by dual-energy X-ray absorptiometry included fat mass, soft tissue lean mass, and bone mineral density (g/cm2) of total body, spine (lumbar vertebrae 2-4), and three femur sites measured at baseline, 5, 12, and 18 mo. Nutrients were not significant variables in regression models predicting bone mineral density slopes (rates of change) at any femur site. The only significant variable in models predicting Ward's triangle bone mineral density slope was the initial fat mass and, for trochanter, exercise. Significant variables (P 0.05) in models predicting total body bone mineral density slope included the initial fat mass and fat mass slope plus either vitamin A, carotene, fiber, magnesium, or phosphorus (R2 from 0.31 to 0.25) and fat mass slope plus sodium (R2 = 0.24). The significant variable in the model predicting L2-4 slope was energy intake (R2 = 0.17, P 0.05). We conclude that nutrient intake, exercise, and body composition are related to bone mineral density rate of change and that relations among these variables vary by bone site.

Hingle, M. D., Navarro, L., Rezaimalek, A., & Going, S. B. (2013). The use of technology to promote nutrition and physical activity behavior change in youth: A review. The Digest, 48(2), 1-28.