» Articles » PMID: 16353352

Non Linear Weight Gain with Long Term Overfeeding in Man

Overview
Journal Obes Res
Date 1993 May 1
PMID 16353352
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

This study deals with the pattern of body weight gain during an overfeeding period with a constant energy intake, in order to assess whether total daily energy expenditure (TEE) increased with body weight and thus could account for the progressive slow down in body weight gain over time. Twenty-four young adult males (12 pairs of identical twins) were overfed by 4.2 MJ per day, six days a week, for a total of 84 days during a 100-day overfeeding period. The total excess amount each man consumed was 353 MJ. It was assumed that, at a given time, the TEE increase (E) was dependent on body weight gain and energy cost (C) was proportional to the daily body weight gain. Results show an exponential increase in body weight, fat free mass, and fat mass (with half-times of 86, 57, and 84 days, respectively) that allows the calculation of E (246 +/- 37 kJ x kg(-1) x d(-1), mean +/- SE) and C (32.3 +/- 2.4 MJ x kg(-1)). Energy expenditure from other sources besides resting metabolic rate, such as physical activity and thermic effect of food, may represent as much as 65% of E. At the beginning of the overfeeding period, almost all the energy surplus was recovered as body substances but this proportion decreased to 60% after 100 days of overfeeding. It is concluded that 1) TEE changes were related to body weight change, 2) about 65% of E were accounted for by physical activity, thermic effect of food, or some other components, and 3) the fraction of the energy surplus stored as body substances decreased with the duration of overfeeding.

Citing Articles

Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study.

Turicchi J, ODriscoll R, Finlayson G, Duarte C, Palmeira A, Larsen S JMIR Mhealth Uhealth. 2020; 8(9):e17977.

PMID: 32915155 PMC: 7519428. DOI: 10.2196/17977.


Weekly, seasonal and holiday body weight fluctuation patterns among individuals engaged in a European multi-centre behavioural weight loss maintenance intervention.

Turicchi J, ODriscoll R, Horgan G, Duarte C, Palmeira A, Larsen S PLoS One. 2020; 15(4):e0232152.

PMID: 32353079 PMC: 7192384. DOI: 10.1371/journal.pone.0232152.


Modeling body mass variation: incorporating social influence into calculations of caloric intake and energy expenditure.

Hernandez-Hernandez A, Huerta-Quintanilla R PLoS One. 2014; 9(11):e111709.

PMID: 25369520 PMC: 4219765. DOI: 10.1371/journal.pone.0111709.


Measurement of body composition in response to a short period of overfeeding.

Sagayama H, Jikumaru Y, Hirata A, Yamada Y, Yoshimura E, Ichikawa M J Physiol Anthropol. 2014; 33:29.

PMID: 25208693 PMC: 4237876. DOI: 10.1186/1880-6805-33-29.


An objective estimate of energy intake during weight gain using the intake-balance method.

Gilmore L, Ravussin E, Bray G, Han H, Redman L Am J Clin Nutr. 2014; 100(3):806-12.

PMID: 25057153 PMC: 4135491. DOI: 10.3945/ajcn.114.087122.