Body weight control and energy expenditure

Fonseca, Danielle Cristina; Sala, Priscila; Ferreira, Beatriz de Azevedo Muner; Reis, Jessica; Torrinhas, Raquel Susana; Bendavid, Itai; Waitzberg, Dan Linetzky

doi:10.1016/j.yclnex.2018.04.001

Cited by 43 publications

(32 citation statements)

References 13 publications

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“…Obesity prevalence is high in both the high-income and lowto-middle-income countries, but the prevalence of obesity is expected to increase more rapidly in the latter [7]. The main factor contributing to overweight and obesity is the imbalance between energy intake and energy expenditure [8,9]. Worldwide, people consume more quantities of foods with a high energy density and exhibiting low physical activity, so this could lead to overweight and obesity epidemics around the world [10,11].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study

et al. 2020

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Background: The prevalence of overweight and obesity among women of childbearing age is considered a public health concern. Few studies have been conducted in the Gaza Strip to determine the magnitude of overweight and obesity. This study aimed to determine the prevalence of overweight and obesity along with their associated factors among women in the Gaza Strip. Methods: A cross-sectional study was conducted to recruit a total of 357 mothers aged 18-50 years. Interviews were carried out among mothers to collect sociodemographic information, nutritional information, and physical activity. Anthropometric measurements [height, weight and waist circumference (WC)] were conducted with the mothers. Body Mass Index (BMI) was computed to determine the prevalence of overweight and obesity. Multinomial logistic regression was used to examine the associated factors of overweight and obesity. Results: The combined prevalence of overweight and obesity among mothers was (64.1%). The results of multinomial logistic regression showed the risk of overweight and obesity increased with age, the highest risk being in mothers aged > 33.0 years (OR = 2.7, 95% CI: (1.06,6.86)), and (OR = 5.72, 95% CI: (2.07,15.78)), respectively, compared to mothers aged < 33.0 years. Moreover, mothers with medium and high educational levels had a slightly higher risk of obesity (OR = 0.31, 95% CI: (0.15,0.64)), and (OR = 0.32, 95% CI: (0.12,0.82)) respectively than mothers with low educational level. Household income was positively associated with overweight and obesity. Mothers exposed to higher monthly income were more likely to be overweight or obese (OR = 2.64, 95% CI: (1.20, 5.83)), and (OR = 3.06, 95% CI: (1.28,7.29)), respectively. Nutrition knowledge was significantly associated with a high prevalence of obesity (OR = 1.20, 95% CI: (1.03,1.38)). Conclusions: This study showed a higher prevalence of overweight and obesity among Palestinian women than previous studies. Age, educational level, monthly income, and nutrition knowledge were associated with the prevalence of overweight and obesity, compared to other variables that were not associated with overweight and obesity such as location, work status, physical activity, and sitting hours. Urgent action is needed to tackle overweight and obesity among women. Effective intervention is required to increase nutrition knowledge among women to improve their eating behaviors.

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Section: Introductionmentioning

confidence: 99%

Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study

et al. 2020

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“…11 This is because body fat has a negative correlation with total energy expenditure. 12 Physical activities affect the BMI value and body composition. [13][14][15] Physically inactive on the other hand is a risk factor for non-communicable diseases.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

Hw¹,

Tan²,

Af³

2020

imjm

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INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition.

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“…Total energy expenditure (TEE) is a measurement of energy expenditure consisting of resting EE (REE, normally 60%–75%), active EE (AEE, 15%–30%) and the thermic effect of food (10%) (Fonseca et al, 2018). Accelerometric data include calculations of total energy expenditure (TEE), which was 9,952 ± 4,557 J per day in NT1 and 9,962 ± 3,086 J in non‐NT1, with no significant difference in average TEE between groups ( p = .36).…”

Section: Resultsmentioning

confidence: 99%

Actigraphy measurement of physical activity and energy expenditure in narcolepsy type 1, narcolepsy type 2 and idiopathic hypersomnia: A Sensewear Armband study

Bornstein

Hedström

Wasling

2020

Journal of Sleep Research

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Body weight control and energy expenditure

Cited by 43 publications

References 13 publications

Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study

Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study

The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

Actigraphy measurement of physical activity and energy expenditure in narcolepsy type 1, narcolepsy type 2 and idiopathic hypersomnia: A Sensewear Armband study

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