The population in the US and worldwide is aging rapidly~ the United Nations estimates that by 2050, for the first time in history, the population f older people will exceed the population of younger people. At the same time, obesity is rapidly reaching epidemic proportions. The World Health Organization states that worldwide, obesity has doubled since 1980, and in 2008, 1.5 billion adults were obese. The combination of an aging, overweight population has serious implications for cognitive health, as aging and obesity are both associated with cognitive decline, as are risk factors that are increased by both aging and obesity, such as insulin resistance and hypertension. Poor cognitive function is a significant public health concern, particularly in older adults, because it can reduce an individual's ability o perform activities of daily living or follow prescribed health care activities, leads to increased institutionalization and loss of independence. There is good evidence that aerobic exercise benefits cognitive function in older adults. Exercise also improves glucose regulation and insulin sensitivity, and may lower inflammation, all potential mechanisms for exercise-induced improvement in cognition. Intentional weight loss through reduced caloric intake improves metabolic risk factors for cognitive decline more than exercise alone, suggesting that weight and fat loss may enhance the cognitive benefits of exercise. However, whether weight loss is safe and healthy for older adults is a matter of controversy, and some studies actually show that higher body weight is associated with better cognition in older adults. Thus, it is unknown whether adding caloric restriction to an aerobic exercise intervention provides an additive benefit on cognition, and brain structure and function, beyond exercise alone in obese older adults. The proposed study addresses concerns of national and worldwide health significance by investigating the effects of adding weight loss to exercise in obese older adults as a potential avenue for remediation of obesity-related cognitive decline in older adults. This study also provides an excellent avenue for training for the candidate, whose overall career goal is to become an independent clinical and translational researcher. Her strong background in cognitive neuroimaging of aging will be augmented by training in clinical trial research and behavioral weight loss interventions~ new analysis techniques~ and knowledge of obesity, dementia, and other geriatric syndromes. This training will allow her to design new trials that further investigate the relationships between modifiable risk factors for metabolic disease and the brain and cognition.

Public Health Relevance

The combination of an aging, overweight population has serious implications for cognitive health, as obesity and its related health complications, are linked with an increased risk for aging-related dementia. Poor cognitive function is a public health concern, particularly in older adults, because it can reduce an individual's ability to perform activities of daily living or follow health care regimens, which in turn can lead to loss o independence. Exercise and weight loss show promise as a means to improve cognitive function, but exercise may not be safe for obese older adults. A better understanding of how exercise and weight loss affect cognitive function may provide a potential avenue for remediation of obesity-related cognitive decline in older adults.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01AG043547-03
Application #
8853237
Study Section
Neuroscience of Aging Review Committee (NIA)
Program Officer
Wagster, Molly V
Project Start
2013-09-01
Project End
2016-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
3
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Wake Forest University Health Sciences
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157
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Hugenschmidt, Christina E; Burdette, Jonathan H; Morgan, Ashley R et al. (2014) Graph theory analysis of functional brain networks and mobility disability in older adults. J Gerontol A Biol Sci Med Sci 69:1399-406
Hugenschmidt, Christina E (2013) A link between type 2 diabetes and brain function. JAAPA 26:10-1