
doi: 10.1038/oby.2005.268
pmid: 16421351
AbstractObjective: The purpose of this study was to evaluate available variables of a long‐term weight maintenance study to investigate possible factors predisposing to weight regain after a period of weight loss.Research Methods and Procedures: The Maastricht Weight Maintenance Study is an ongoing longitudinal study of healthy men and women (29 men and 62 women; 18 to 65 years of age; BMI = 30.2 ± 3.1 kg/m2). A variety of parameters were measured before and after a very‐low‐energy diet and after a follow‐up of at least 2 years.Results: Mean weight loss was 7.9 ± 3.6 kg, and percent weight regain was 113.8 ± 98.1%. Percent BMI regain was negatively associated with an increase in dietary restraint (r = −0.47, p < 0.05). Percent weight regain was negatively correlated with baseline resting metabolic rate (r = −0.38, p = 0.01) and baseline fat mass (r = −0.24, p = 0.05) and positively correlated with the magnitude of change in body weight (BW) expressed as maximum amplitude of BW (r = 0.21, p < 0.05). In addition, amplitude of BW was positively correlated with the frequency of dieting (r = 0.57, p < 0.01).Discussion: The best predictors for weight maintenance after weight loss were an increase in dietary restraint during weight loss, a high baseline resting metabolic rate, a relatively high baseline fat mass favoring a fat‐free mass–sparing effect during weight loss, a rather stable BW, and a low frequency of dieting. Therefore, BW maintenance after BW loss seems to be a multifactorial issue, including mechanisms that regulate an individuals’ energy expenditure, body composition, and eating behavior in such a way that energy homeostasis is maintained.
Adult, Male, Adolescent, Diet, Reducing, Feeding Behavior, Middle Aged, Weight Gain, Diet Records, Body Mass Index, Oxygen Consumption, Risk Factors, Multivariate Analysis, Body Composition, Humans, Female, Basal Metabolism, Longitudinal Studies, Obesity, Aged, Forecasting
Adult, Male, Adolescent, Diet, Reducing, Feeding Behavior, Middle Aged, Weight Gain, Diet Records, Body Mass Index, Oxygen Consumption, Risk Factors, Multivariate Analysis, Body Composition, Humans, Female, Basal Metabolism, Longitudinal Studies, Obesity, Aged, Forecasting
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