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Predictors of long-term weight maintenance.
Obes Res. 2005 Dec; 13(12):2162-8.OR

Abstract

OBJECTIVE

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/m(2)). 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.

Authors+Show Affiliations

Department of Human Biology, Maastricht University, The Netherlands. N.Vogels@HB.Unimaas.NLNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

16421351

Citation

Vogels, Neeltje, et al. "Predictors of Long-term Weight Maintenance." Obesity Research, vol. 13, no. 12, 2005, pp. 2162-8.
Vogels N, Diepvens K, Westerterp-Plantenga MS. Predictors of long-term weight maintenance. Obes Res. 2005;13(12):2162-8.
Vogels, N., Diepvens, K., & Westerterp-Plantenga, M. S. (2005). Predictors of long-term weight maintenance. Obesity Research, 13(12), 2162-8.
Vogels N, Diepvens K, Westerterp-Plantenga MS. Predictors of Long-term Weight Maintenance. Obes Res. 2005;13(12):2162-8. PubMed PMID: 16421351.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predictors of long-term weight maintenance. AU - Vogels,Neeltje, AU - Diepvens,Kristel, AU - Westerterp-Plantenga,Margriet S, PY - 2006/1/20/pubmed PY - 2007/4/17/medline PY - 2006/1/20/entrez SP - 2162 EP - 8 JF - Obesity research JO - Obes. Res. VL - 13 IS - 12 N2 - OBJECTIVE: 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/m(2)). 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. SN - 1071-7323 UR - https://www.unboundmedicine.com/medline/citation/16421351/Predictors_of_long_term_weight_maintenance_ L2 - https://doi.org/10.1038/oby.2005.268 DB - PRIME DP - Unbound Medicine ER -