Accession Number:

ADA434800

Title:

Understanding the Regulation of Body Weight: A Focus on Eating Patterns, Energy Intake, and Metabolic Rate

Descriptive Note:

Doctoral thesis

Corporate Author:

UNIFORMED SERVICES UNIV OF THE HEALTH SCIENCES BETHESDA MD F EDWARD HEBERT SCHOOL OF MEDICINE

Personal Author(s):

Report Date:

2003-01-01

Pagination or Media Count:

244.0

Abstract:

The clinically observed eating pattern of gorging eating fewer, larger meals later in the day is ill defined in the literature and inconsistently linked to metabolic rate suppression and body composition. The purpose of this study was to further understand the relationship between gorging, metabolic rate, and body composition with a consideration of daily physical activity and purposeful exercise. Gorging was defined as two or fewer meals per day with at least seven hours between waking and the first meal for at least three days per week. It was hypothesized that gorgers would have 1 lower metabolic rates, 2 more body fat, 3 lower energy and higher fat intakes, and 4 more pathological eating attitudes than non-gorgers. Participants were 12 obese gorging OG, 11 obese non-gorging ON, 14 normal weight gorging NG, and 14 normal weight non-gorging NN age-matched, non-smoking, otherwise healthy women. Metabolic testing included assessment of resting metabolic rate RMR, active metabolic rate AMR while riding a stationary bicycle at a rate of 50 rpm and workload of 1kg, and dietary induced thermogenesis DIT where postprandial metabolic rate was assessed. Results were partially supported. Contrary to the first hypothesis, the eating pattern groups did not differ by RMR F1,47 3.96, p 0.05, AMR F1, 47 2.03, p 0.16, or DIT F1, 47 0.40, p 0.53 after covarying lean body mass. Lean body mass was the best predictor of metabolic rate accounting for 72 of the variance. These findings are limited by the small effect sizes for these analyses.

Subject Categories:

  • Anatomy and Physiology
  • Medicine and Medical Research
  • Food, Food Service and Nutrition
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE