Resting metabolic rate and relative fat mass predict estimated maximum portion size in children, adolescents and adults.

Christle Coxon; Edward Leigh Gibson; Lewis G. Halsey; Jeffrey Brunstrom

Resting metabolic rate and relative fat mass predict estimated maximum portion size in children, adolescents and adults.

Christle Coxon, Edward Leigh Gibson, Lewis G. Halsey, Jeffrey Brunstrom

Research output: Other contribution › peer-review

Abstract

Food portion sizes are an important determinant of energy intake, however there is little evidence that body mass index is associated with portion size selection. The ‘drive to eat’ hypothesis proposes that energy expenditure drives energy intake, therefore components of energy expenditure and body composition may influence decisions about food portion sizes. Previously, we explored the association between resting metabolic rate (RMR) and body composition, in food portion size selection in adults and children. In the original study, conducted at the Science Museum, London, we found that RMR and body composition predicted portion size for adults, not children. In light of recent insights by Pontzer et al. (2021), we revised our participant categories into two distinct life stages: children/adolescents (8-20years) and adults (21-60years). We hypothesise that components of energy expenditure, namely resting metabolic rate and body composition, may influence decisions about food portions in adults and children. Visitors to the Science Museum, London, UK (adults: n=535, 18–75 years; children: n=220, 8–17 years) were asked to select maximum desired food portion sizes of five different foods (peas, sweetcorn, peanuts, chocolate and M&M’s) from images in the scenario that no other food was available for lunch. Height, weight, waist circumference were recorded and used to estimate body mass index (BMI or zBMI), resting metabolic rate (RMR) and relative fat mass index (RFM). Correlation and multiple regression analysis investigated the independent effects of BMI, RMR, RFM, and age on portion size for each food. In children, waist, zBMI, RMR and RFM were not associated with portion size for any food, but a faster self-reported eating rate predicted the selection of larger portions of peas, peanuts, and chocolate. In adults, waist circumference and BMI were not associated with portion size for any food. Using multiple regression models, controlling for age, time since last meal and eating rate, higher RMR predicted larger portions of all foods. Conversely, higher RFM (but not BMI) was associated with smaller food portions for peas, peanuts and M&M’s. Individual differences in metabolic rate and body composition appear to influence decisions about portion size in adults, but not children.

Original language	English
Media of output	Poster
Number of pages	1
Publication status	Published - 11 Apr 2024

Cite this

@misc{8ec33be1dca64650900c3922ffd6c1ae,

title = "Resting metabolic rate and relative fat mass predict estimated maximum portion size in children, adolescents and adults.",

abstract = "Food portion sizes are an important determinant of energy intake, however there is little evidence that body mass index is associated with portion size selection. The {\textquoteleft}drive to eat{\textquoteright} hypothesis proposes that energy expenditure drives energy intake, therefore components of energy expenditure and body composition may influence decisions about food portion sizes. Previously, we explored the association between resting metabolic rate (RMR) and body composition, in food portion size selection in adults and children. In the original study, conducted at the Science Museum, London, we found that RMR and body composition predicted portion size for adults, not children. In light of recent insights by Pontzer et al. (2021), we revised our participant categories into two distinct life stages: children/adolescents (8-20years) and adults (21-60years). We hypothesise that components of energy expenditure, namely resting metabolic rate and body composition, may influence decisions about food portions in adults and children. Visitors to the Science Museum, London, UK (adults: n=535, 18–75 years; children: n=220, 8–17 years) were asked to select maximum desired food portion sizes of five different foods (peas, sweetcorn, peanuts, chocolate and M&M{\textquoteright}s) from images in the scenario that no other food was available for lunch. Height, weight, waist circumference were recorded and used to estimate body mass index (BMI or zBMI), resting metabolic rate (RMR) and relative fat mass index (RFM). Correlation and multiple regression analysis investigated the independent effects of BMI, RMR, RFM, and age on portion size for each food. In children, waist, zBMI, RMR and RFM were not associated with portion size for any food, but a faster self-reported eating rate predicted the selection of larger portions of peas, peanuts, and chocolate. In adults, waist circumference and BMI were not associated with portion size for any food. Using multiple regression models, controlling for age, time since last meal and eating rate, higher RMR predicted larger portions of all foods. Conversely, higher RFM (but not BMI) was associated with smaller food portions for peas, peanuts and M&M{\textquoteright}s. Individual differences in metabolic rate and body composition appear to influence decisions about portion size in adults, but not children. ",

author = "Christle Coxon and Gibson, {Edward Leigh} and Halsey, {Lewis G.} and Jeffrey Brunstrom",

year = "2024",

month = apr,

day = "11",

language = "English",

type = "Other",

}

TY - GEN

T1 - Resting metabolic rate and relative fat mass predict estimated maximum portion size in children, adolescents and adults.

AU - Coxon, Christle

AU - Gibson, Edward Leigh

AU - Halsey, Lewis G.

AU - Brunstrom, Jeffrey

PY - 2024/4/11

Y1 - 2024/4/11

N2 - Food portion sizes are an important determinant of energy intake, however there is little evidence that body mass index is associated with portion size selection. The ‘drive to eat’ hypothesis proposes that energy expenditure drives energy intake, therefore components of energy expenditure and body composition may influence decisions about food portion sizes. Previously, we explored the association between resting metabolic rate (RMR) and body composition, in food portion size selection in adults and children. In the original study, conducted at the Science Museum, London, we found that RMR and body composition predicted portion size for adults, not children. In light of recent insights by Pontzer et al. (2021), we revised our participant categories into two distinct life stages: children/adolescents (8-20years) and adults (21-60years). We hypothesise that components of energy expenditure, namely resting metabolic rate and body composition, may influence decisions about food portions in adults and children. Visitors to the Science Museum, London, UK (adults: n=535, 18–75 years; children: n=220, 8–17 years) were asked to select maximum desired food portion sizes of five different foods (peas, sweetcorn, peanuts, chocolate and M&M’s) from images in the scenario that no other food was available for lunch. Height, weight, waist circumference were recorded and used to estimate body mass index (BMI or zBMI), resting metabolic rate (RMR) and relative fat mass index (RFM). Correlation and multiple regression analysis investigated the independent effects of BMI, RMR, RFM, and age on portion size for each food. In children, waist, zBMI, RMR and RFM were not associated with portion size for any food, but a faster self-reported eating rate predicted the selection of larger portions of peas, peanuts, and chocolate. In adults, waist circumference and BMI were not associated with portion size for any food. Using multiple regression models, controlling for age, time since last meal and eating rate, higher RMR predicted larger portions of all foods. Conversely, higher RFM (but not BMI) was associated with smaller food portions for peas, peanuts and M&M’s. Individual differences in metabolic rate and body composition appear to influence decisions about portion size in adults, but not children.

AB - Food portion sizes are an important determinant of energy intake, however there is little evidence that body mass index is associated with portion size selection. The ‘drive to eat’ hypothesis proposes that energy expenditure drives energy intake, therefore components of energy expenditure and body composition may influence decisions about food portion sizes. Previously, we explored the association between resting metabolic rate (RMR) and body composition, in food portion size selection in adults and children. In the original study, conducted at the Science Museum, London, we found that RMR and body composition predicted portion size for adults, not children. In light of recent insights by Pontzer et al. (2021), we revised our participant categories into two distinct life stages: children/adolescents (8-20years) and adults (21-60years). We hypothesise that components of energy expenditure, namely resting metabolic rate and body composition, may influence decisions about food portions in adults and children. Visitors to the Science Museum, London, UK (adults: n=535, 18–75 years; children: n=220, 8–17 years) were asked to select maximum desired food portion sizes of five different foods (peas, sweetcorn, peanuts, chocolate and M&M’s) from images in the scenario that no other food was available for lunch. Height, weight, waist circumference were recorded and used to estimate body mass index (BMI or zBMI), resting metabolic rate (RMR) and relative fat mass index (RFM). Correlation and multiple regression analysis investigated the independent effects of BMI, RMR, RFM, and age on portion size for each food. In children, waist, zBMI, RMR and RFM were not associated with portion size for any food, but a faster self-reported eating rate predicted the selection of larger portions of peas, peanuts, and chocolate. In adults, waist circumference and BMI were not associated with portion size for any food. Using multiple regression models, controlling for age, time since last meal and eating rate, higher RMR predicted larger portions of all foods. Conversely, higher RFM (but not BMI) was associated with smaller food portions for peas, peanuts and M&M’s. Individual differences in metabolic rate and body composition appear to influence decisions about portion size in adults, but not children.

M3 - Other contribution

ER -