Mastication and Energy Expenditure in Normal Weight and Obese People

Author(s):  
Author(s):  
Pasquale Anselmi ◽  
Michelangelo Vianello ◽  
Egidio Robusto

Two studies investigated the different contribution of positive and negative associations to the size of the Implicit Association Test (IAT) effect. A Many-Facet Rasch Measurement analysis was applied for the purpose. Across different IATs (Race and Weight) and different groups of respondents (White, Normal weight, and Obese people) we observed that positive words increase the IAT effect whereas negative words tend to decrease it. Results suggest that the IAT is influenced by a positive associations primacy effect. As a consequence, we argue that researchers should be careful when interpreting IAT effects as a measure of implicit prejudice.


Appetite ◽  
1992 ◽  
Vol 19 (2) ◽  
pp. 166
Author(s):  
S. Bini ◽  
M. Ciampolini ◽  
L. Chiesi ◽  
D. Vicarelli
Keyword(s):  

2003 ◽  
Vol 28 (1) ◽  
pp. 72-79 ◽  
Author(s):  
A Bosy-Westphal ◽  
U Reinecke ◽  
T Schlörke ◽  
K Illner ◽  
D Kutzner ◽  
...  

PEDIATRICS ◽  
1993 ◽  
Vol 91 (2) ◽  
pp. 281-286
Author(s):  
Robert C. Klesges ◽  
Mary L. Shelton ◽  
Lisa M. Klesges

The effects of television viewing on resting energy expenditure (metabolic rate) in obese and normal-weight children were studied in a laboratory setting. Subjects were 15 obese children and 16 normal-weight children whose ages ranged from 8 to 12 years. All subjects had two measures of resting energy expenditure obtained while at rest and one measurement of energy expenditure taken while viewing television. Results indicated that metabolic rate during television viewing was significantly lower (mean decrease of 211 kcal extrapolated to a day) than during rest. Obese children tended to have a larger decrease, although this difference was not statistically significant (262 kcal/d vs 167 kcal/d, respectively). It was concluded that television viewing has a fairly profound lowering effect of metabolic rate and may be a mechanism for the relationship between obesity and amount of television viewing.


1998 ◽  
Vol 76 (2) ◽  
pp. 237-241 ◽  
Author(s):  
L J Martin ◽  
PJH Jones ◽  
R V Considine ◽  
W Su ◽  
N F Boyd ◽  
...  

To investigate whether circulating leptin levels are associated with energy expenditure in healthy humans, doubly labeled water energy measurements and food intake assessment were carried out in 27 women (mean age, 48.6 years; weight, 61.9 kg; body mass index, 23.2). Energy expenditure was determined over 13 days. Food intake was measured by 7-day food records. Leptin was measured by radioimmunoassay. Leptin level was strongly associated with percentage body fat (r = 0.59; p < 0.001), fat mass (r = 0.60; p < 0.001), and body mass index (r = 0.41; p = 0.03), but no correlation was observed with energy expenditure (r = 0.02; p = 0.93). After controlling for percentage body fat, a positive association of leptin level with energy expenditure of marginal significance (p = 0.06) was observed. There were no significant univariate associations of age, physical activity, lean body mass, height, or dietary variables with leptin level. When controlling for body fat, a significant positive correlation was observed for percent energy from carbohydrate and negative correlations with dietary fat and alcohol intake. These findings confirm previous associations between leptin and body fat content and suggest a relationship between serum leptin and energy expenditure level in healthy humans.Key words: leptin, energy expenditure, body composition, diet.


2019 ◽  
Vol 7 (4) ◽  
pp. 120-124
Author(s):  
Roshna M. Qadir ◽  
Mahde S. Abdulrahman

Obesity represents one of the major problematic health issues worldwide. Recent evidences suggest that obesity is related with the alteration of the oral microbiome. The aim of this study was to measure the salivary bacterial Selenomonas noxia in Duhok population. A total of 155 saliva samples were collected from individuals (aged between 19-35 years) of both genders (86 females and 69 males). The individuals were divided into three groups (obese, overweight, and normal weight) based on their body mass index. Bacterial genomic DNA was extracted from saliva samples. Molecular detections of Selenomonas noxia were performed by the polymerase chain reaction. Among the 155 participants, 34.1% were obese, 26.4% overweight and 39.3% normal weight individuals. The prevalence rate of oral S. noxia among all people was 82.6%. The highest rate of S. noxia was in obese people (86.8%), followed by overweight (85.4%) and normal weight people (77%). The prevalence of S. noxia in overweight people was statistically significant in compare with the normal weight people (p<0.0001). Moreover, the oral carriage of S. noxia was highest among the overweight females (94.5%) followed by obese females (88.9%). However, no significant difference was found compared to males. The result revealed that it is possible to assume that the expansion of S. noxia in saliva is due to obesity. Moreover, the composition of salivary microbiome may lead to the risk that the overweight group is at risk of future obesity. However, further investigations are required with larger sample and participants with different socioeconomic status in order to address the exact link between obesity and oral bacteria. This could lead to a new and promising therapeutic way for improving human's health.  


2021 ◽  
Vol 18 (4) ◽  
pp. 433-439
Author(s):  
David Thivel ◽  
Pauline Genin ◽  
Alicia Fillon ◽  
Marwa Khammassi ◽  
Johanna Roche ◽  
...  

Background: While mental work has been shown to favor overconsumption, the present study compared the effect of a cognitive task alone, followed by acute exercise, or performed on a cycling desk, on short-term food intake and appetite in adults. Methods: A total of 19 normal-weight adults randomly completed: resting session (CON), 30-minute cognitive task (CT), 30-minute cognitive task followed by a 15-minute high-intensity interval exercise bout (CT–EX), and 30-minute cognitive task performed on a cycling desk (CT-CD). Energy expenditure was estimated (heart rate–workload relationship), and energy intake (EI; ad libitum) and appetite (visual analog scales) were assessed. Results: Energy expenditure was higher in CT-EX (P < .001) compared with the other conditions and in CT-CD compared with CON and CT (P < .01). EI was higher in CON (P < .05) and CT-CD compared with CT (P < .01). Relative EI was higher in CON compared with CT (P < .05) and lower in CT-EX compared with CT, CT-CD, and CON (all Ps < .001). Area under the curve desire to eat was higher in CON compared with CT (P < .05) and CT-EX (P < .01). Area under the curve prospective food consumption was higher in CON compared with CT-EX (P < .01). Overall composite appetite score was not different between conditions. Conclusion: While cycling desks are recommended to break up sedentary time, the induced increase in energy expenditure might not be enough to significantly reduce overall short-term relative EI after mental work.


Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Petra Schubert ◽  
Yuk-lam Ho ◽  
David R Gagnon ◽  
Kelly Cho ◽  
Peter W Wilson ◽  
...  

Introduction: Obesity and metabolic dysfunction, individually, are known risk factors of stroke, coronary artery disease (CAD), and mortality. However, few studies have examined the long-term risk for CAD among non-obese people with metabolic dysfunction, and no studies have been conducted for Veterans of the United States. Hypothesis: Veterans who are metabolically obese normal weight (MONW) at baseline have an increased risk of developing CAD compared to metabolically healthy normal weight (MHNW) veterans enrolled in the Million Veteran Program (MVP). Methods: We included MVP participants who had a stable normal body mass index (18.5-25kg/m 2 ) five years prior to enrollment. Metabolic obesity was defined as having three or more of the Adult Treatment Panel III criteria [diabetes, hypertension, low HDL-C (≤40 mg/dl for men, ≤50 mg/dl for women), and high triglycerides (≥150 mg/dl)] at enrollment. CAD was defined as non-fatal myocardial infarction, ischemic heart disease or angina pectoris. Participants with prevalent CAD, major cancers and incomplete lifestyle information were excluded. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for CAD incidence. In secondary analyses, we stratified by sex and race to evaluate possible effect modification. Results: Of the 16,764 people identified as normal weight with complete data, 15% were MONW, 84.5% were male, 84.4% were White and the mean age was 63.1 ± 14.2. Over a median follow up of 3.6 (IQR 1.8-5.2) years, there were 847 incident CAD events observed. MONW individuals had a 64% (95% CI: 40 -91%) higher risk of CAD compared to normal weight individuals, controlling for age, race, sex, education, smoking status, physical activity, alcohol use and diet. In secondary analyses, we observed a nominally higher risk among women who were MONW [HR (95% CI): 2.74 (1.30-5.77) for women vs. 1.60 (1.37-1.88) for men], however the interaction of MONW and sex was not statistically significant (interaction p=0.19). Similarly, the interaction of MONW and race was not statistically significant [1.62 (1.37-1.92) for White, 1.55 (0.97-2.48) for Black, and 2.26 (1.03-4.95) for other, interaction p=0.83)]. Conclusions: MONW Veterans had a higher risk of CAD compared to MHNW Veterans. This risk was magnified in female Veterans and attenuated in White and Black Veterans compared to other races (Asian, Pacific Islander, Native American, other). These findings will need to be validated in future studies.


Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1635 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Lucas Jurado-Fasoli ◽  
Alejandro De-la-O ◽  
Ángel Gutierrez ◽  
Manuel Castillo ◽  
...  

Indirect calorimetry (IC) is considered the reference method to determine the resting energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a number of REE predictive equations to estimate the REE. However, it has been shown that the available REE predictive equations could either overestimate or underestimate the REE as measured by IC. Moreover, the role of the weight status in the accuracy and validity of the REE predictive equations requires further attention. Therefore, this study aimed to determine the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years old) participated in the study. We measured REE by indirect calorimetry, strictly following the standard procedures, and we compared it with the values obtained from 33 predictive equations. The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight status plays an important role in the accuracy and validity of different REE predictive equations in middle-aged adults.


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