scholarly journals Adolescents’ Estimation of Energy Content of Standard Portion Size of Foods and Its Association with Body Mass Index

2012 ◽  
Vol 03 (10) ◽  
pp. 1340-1348 ◽  
Author(s):  
Mi-Kyeong Choi ◽  
Min-Jung Ko ◽  
Mi-Hyun Kim
Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2425 ◽  
Author(s):  
Laura M. König ◽  
Katrin Ziesemer ◽  
Britta Renner

In order to adhere to dietary guidelines and manage health risks, consumers need to be able to estimate with some accuracy the sugar and energy content of foods. The present study compared how well participants could estimate the sugar and energy content of foods, the weight of foods, and approximate portion size (using a hand measure estimation aid). The study had three aims. First, it aimed to investigate differences in accuracy across the four measures. Second, it aimed to examine whether these differences in accuracy between estimation measures were accurately perceived by the participants. Third, it aimed to test if estimation accuracy was related to food journaling experience, body-mass index or gender. One hundred and ninety-seven participants took part in an estimation task and filled in a questionnaire. While the participants were inaccurate when using all four estimation measures, inaccuracy was most pronounced for sugar content (ds ≥ 0.39), which was consistently overestimated by between 62.1% and 98.5% of the sample. None of the other measures showed a consistent pattern of under- or overestimation. Participants’ perceived accuracy did not match their actual accuracy (rs ≤ |0.20|, ps ≥ 0.005). Actual accuracy showed only marginal covariation with food journaling experience (ts ≤ 2.01, ps ≥ 0.049, ds ≤ 0.14), body-mass index (rs ≤ |0.15|, ps ≥ 0.041) or gender (ts ≤ 3.17, ps ≥ 0.002, ds ≤ 0.46). It is particularly challenging for consumers to estimate the sugar content of food, which might have negative consequences for health and well-being. Thus, more education about sugar content and misperceptions is needed to support consumers so that they can make healthy food choices.


2016 ◽  
Vol 2 (3) ◽  
pp. 241-247 ◽  
Author(s):  
N. M. Reily ◽  
C. P. Herman ◽  
L. R. Vartanian

2006 ◽  
Vol 291 (5) ◽  
pp. E929-E936 ◽  
Author(s):  
Vipul Periwal ◽  
Carson C. Chow

Quantifying eating behavior may give clues to both the physiological and behavioral mechanisms behind weight regulation. We analyzed year-long dietary records of 29 stable-weight subjects. The records showed wide daily variations of food intake. We computed the temporal autocorrelation and skewness of food intake mass, energy, carbohydrate, fat, and protein. We also computed the cross-correlation coefficient between intake mass and intake energy. The mass of the food intake exhibited long-term trends that were positively skewed, with wide variability among individuals. The average duration of the trends ( P = 0.003) and the skewness ( P = 0.006) of the food intake mass were significantly correlated with mean body mass index (BMI). We also found that the lower the correlation coefficient between the energy content and the mass of food intake, the higher the BMI. Our results imply that humans in neutral energy balance eating ad libitum exhibit a long-term positive bias in the food intake that operates partially through the mass of food eaten to defend against eating too little more vigorously than eating too much.


2006 ◽  
Vol 5 (2-3) ◽  
pp. 39-57 ◽  
Author(s):  
John S. A. Edwards ◽  
Katja Engstrom ◽  
Inga-Britt Gustafsson

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