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The FCQ-T-r has been recommended as a measure in studies on weight loss and weight maintenance by the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures Project, which selected measures that are reliable, valid, brief, publicly available, and easily administered and scored. [26]
In using human body and fat mass data from the United States National Health and Nutrition Examination Survey (NHANES) database, the Thomas group found that BRI never was a negative value, and that larger BRI values were associated with people having a round shape, while shape values closer to 1 were related to people with narrow, lean bodies. [1]
Obesity is a major cause of disability and is correlated with various diseases and conditions, particularly cardiovascular diseases, type 2 diabetes, obstructive sleep apnea, certain types of cancer, and osteoarthritis. [2] [12] [13] Obesity has individual, socioeconomic, and environmental causes.
While it is clear that the reasons for the epidemic are multifaceted, survey and economic data suggest that much of the rise in obesity can be attributed to an increase in caloric intake, as opposed to a change in energy expenditure (David M. Cutler et al. 2003). Consequently, government policy has often attempted to reduce obesity by influencing
The Three-Factor Eating Questionnaire (abbreviated as TFEQ) is a questionnaire often applied in food intake-behavior related research. It goes back to its publication in 1985 by Albert J. Stunkard and Samuel Messick .
More than twenty-five years ago, WHtR was first suggested as a simple health risk assessment tool because "it is a proxy for harmful central adiposity"; [3] it predicts obesity-related cardiovascular disease. A boundary value of 0.5 was proposed to indicate increased risk.
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This article was reviewed by Daniel Z. Lieberman, MD. Overview. You’re tossing and turning, counting sheep for what seems like forever, and still, sleep won’t come.