It is indisputable that there is an epidemic of obesity in the U.S. and many other countries. It is equally clear that this has resulted from too many people being in positive caloric balance for too many days, but the specific contributions of energy intake and energy expenditure to this persistent positive caloric balance remain unclear. In fact, some recent authors claim that physical inactivity has virtually no role in the obesity epidemic. Although there is typically an upward trajectory of body weight over the adult years, there also are other patterns of weight variation over time. For physical activity, the general trajectory shows a decline during adulthood;but some increase their activity and others fluctuate multiple times. The patterns of weight change over time, and the role of changing patterns of physical activity, especially in relation to weight, have not been studied extensively. Limitations of current research on patterns of obesity and physical activity are that most experimental studies are relatively short-term and most large observational studies have not examined patterns of change in these exposures and their interrelationships. Moreover, most observational studies use self-reported body weight and activity habits. Therefore, the goal of this R21 application is to examine patterns of change in body habitus (weight, BMI, %body fat, waist circumference, fat mass, and fat-free mass) determined by objective laboratory assessments and in physical activity by using data from self-reported questionnaires as well as from maximal exercise tests as an objective laboratory marker of physical activity. We will apply sophisticated data analyses techniques to a large patient-oriented database which involved 12,199 free-living men and women 30 to 83 years who were enrolled in the Aerobics Center Longitudinal Study (ACLS). A distinguishing feature of the ACLS is the inclusion of a large number of patients with 3 or more clinical examinations that include standardized objective measures of maximal exercise tolerance, body habitus, and an extensive follow-up for morbid and mortal endpoints. Results from the ACLS are cited frequently in the scientific literature and have been influential in the development of recent national guidelines for physical activity. This study will address a critical public health challenge by markedly expanding our knowledge of the patterns of change in weight and activity during adulthood. Knowledge is needed to refine public health and clinical recommendations for healthful lifestyles.
SPECIFIC AIMS will include 1) Describe the pattern of change in body habitus, physical activity habits, and cardiorespiratory fitness levels during adulthood;and evaluate the interrelationships of these exposures;2) Determine the associations of the pattern of changes in body habitus, physical activity, and cardiorespiratory fitness during adulthood with subsequent diabetes, other obesity-related cardiometabolic disorders, and mortality;3) Determine whether key variables such as dieting behavior, psychosocial factors, quality of life, and the timing and presence of clinically manifest disease influence the above relationships.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21DK088195-02
Application #
8067881
Study Section
Kidney, Nutrition, Obesity and Diabetes (KNOD)
Program Officer
Everhart, James
Project Start
2010-05-01
Project End
2013-04-30
Budget Start
2011-05-01
Budget End
2013-04-30
Support Year
2
Fiscal Year
2011
Total Cost
$179,438
Indirect Cost
Name
University of South Carolina at Columbia
Department
Other Health Professions
Type
Schools of Public Health
DUNS #
041387846
City
Columbia
State
SC
Country
United States
Zip Code
29208
Bakker, Esmée A; Lee, Duck-Chul; Sui, Xuemei et al. (2018) Association of Resistance Exercise With the Incidence of Hypercholesterolemia in Men. Mayo Clin Proc 93:419-428
Meier, Nathan F; Lee, Duck-Chul; Sui, Xuemei et al. (2018) Physical Activity, Cardiorespiratory Fitness, and Incident Glaucoma. Med Sci Sports Exerc 50:2253-2258
Li, Changqing; Mikus, Catherine; Ahmed, Ali et al. (2017) A cross-sectional study of cardiorespiratory fitness and gallbladder disease. Ann Epidemiol 27:269-273.e3
Bakker, Esmée A; Lee, Duck-Chul; Sui, Xuemei et al. (2017) Association of Resistance Exercise, Independent of and Combined With Aerobic Exercise, With the Incidence of Metabolic Syndrome. Mayo Clin Proc 92:1214-1222
Sui, Xuemei; Ott Jr, John; Becofsky, Katie et al. (2017) Cardiorespiratory Fitness and All-Cause Mortality in Men With Emotional Distress. Mayo Clin Proc 92:918-924
Sui, Xuemei; Sarzynski, Mark A; Lee, Duck-Chul et al. (2017) Longitudinal Patterns of Cardiorespiratory Fitness Predict the Development of Hypertension Among Men and Women. Am J Med 130:469-476.e2
Ortega, Francisco B; Sui, Xuemei; Lavie, Carl J et al. (2016) Body Mass Index, the Most Widely Used But Also Widely Criticized Index: Would a Criterion Standard Measure of Total Body Fat Be a Better Predictor of Cardiovascular Disease Mortality? Mayo Clin Proc 91:443-55
Breneman, Charity B; Polinski, Kristen; Sarzynski, Mark A et al. (2016) The Impact of Cardiorespiratory Fitness Levels on the Risk of Developing Atherogenic Dyslipidemia. Am J Med 129:1060-6
Lee, Duck-chul; Lavie, Carl J; Sui, Xuemei et al. (2016) Running and Mortality: Is More Actually Worse? Mayo Clin Proc 91:534-6
Jiménez-Pavón, David; Artero, Enrique G; Lee, Duck-Chul et al. (2016) Cardiorespiratory Fitness and Risk of Sudden Cardiac Death in Men and Women in the United States: A Prospective Evaluation From the Aerobics Center Longitudinal Study. Mayo Clin Proc 91:849-57

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