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Full-Text Articles in Medicine and Health Sciences
Examination Of Obesity Risk-Reduction Behaviors In Chinese Americans, Yeon Bai, Kathleen D. Bauer, Doreen Liou
Examination Of Obesity Risk-Reduction Behaviors In Chinese Americans, Yeon Bai, Kathleen D. Bauer, Doreen Liou
Department of Nutrition and Food Studies Scholarship and Creative Works
The purpose of this survey research was to examine the psychosocial characteristics of obesity risk-reduction behaviors in Chinese Americans. Obesity risk-reduction behaviors and psychosocial variables derived from the Theory of Planned Behavior and the Health Belief Model were measured. A questionnaire was administered to a convenience sample of 300 young adult Chinese Americans residing in the New York metropolitan area. Results suggest that when communicating messages to low adopters of health behaviors, promoting positive attitudes and social influences for healthful eating should be emphasized. High behavior adopters may benefit from strategies to maintain self-efficacy to enact health-related behaviors conducive to …
Metabolic Factor: A New Clinical Tool In Obesity Diagnosis And Weight Management, Brandon Davis, Joseph Indelicato, Nicholas Kuiper
Metabolic Factor: A New Clinical Tool In Obesity Diagnosis And Weight Management, Brandon Davis, Joseph Indelicato, Nicholas Kuiper
The School of Health Sciences Publications and Research
Obtaining resting metabolic rates (RMR) via indirect calorimetry is a critical component of weight management that is used to calculate a new concept, metabolic factor. This calculation allows for the standardized expression of RMR to make it possible to compare metabolism between people and over time. This study found an inverse relationship between weight and metabolic factor, statistically significant, r = -‐.63, p < 0.001, effect size = .46, suggesting that people who weigh more tend to have lower metabolic factors. Furthermore, statistically significant differences were found in the metabolic factors between people who were normal weight, overweight, and obese, p < 0.001. There was also an inverse relationship between metabolic factor and age, r = -‐0.21, p < .05, effect size = .03, suggesting that age has a small but significant effect of metabolic factor. This variable has the potential to play a key role in treatment planning as it can be used to set realistic weight goals, determine caloric needs for a given weight, and to make decisions as to surgical intervention. More importantly, metabolic factor can be a key instrument in clinical work used to educate people regarding unique differences in metabolism to lower prejudice against the obese and to reduce the devastating shame that often accompanies weight issues.