Effect of Time Restricted Feeding on Anthropometric Measures, Body Composition, Eating Behavior, Stress, Brain Derived Neurotrophic Factor (BDNF) and Lipopolysaccharide Binding Protein (LBP) Levels in Food Addicted Over Weight and Obese Women: A Study Protocol for a RRandomized Clinical Trial

2021 ◽  
Author(s):  
Hanieh Irani ◽  
Banafsheh Khodami ◽  
Behnaz Abiri ◽  
Atoosa Saidpour
Keyword(s):  
Clinical Trial ◽  
Body Composition ◽  
Eating Behavior ◽  
Food Addiction ◽  
Intestinal Microbiome ◽  
Restricted Feeding ◽  
Obese Women ◽  
Lipopolysaccharide Binding Protein ◽  
Anthropometric Measures ◽  
Lipopolysaccharide Binding

Abstract Background: Food addiction, the desire to eat compulsively and excessively palatable foods, is one of the behavioral factors that plays an important role in pathogenesis of obesity. Food addiction, like drug addiction, changes the dopaminergic system in rewards region of brain, but at lower levels. There are evidence suggesting brain-derived neurotrophic factor (BDNF) is synthesized in dopaminergic pathways in the reward regions of the brain and is involved in regulating food intake and body weight. BDNF is also associated with eating disorders in humans and hyperphagia in mice. On the other hand, it has been shown that the intestinal microbiome is effective in eating behavior through the production of neuronal and hormonal mediators, including BDNF. Intestinal microbiome changes greatly under the influence of diet. It has been shown that a time-restricted feeding (TRF) has been able to maintain fluctuations in the intestinal microbiome in response to the body's circadian rhythm. Furthermore, increased pathogens in the gut are associated with increased release of polysaccharides from the bacterial wall, resulting in increased levels of lipopolysaccharide binding protein (LBP). This study will aim to evaluate the effect of TRF on anthropometric measures, body composition, eating behavior, stress level, BDNF and LBP levels in over weight and obese women with food addiction.Methods/design: we will carry on a randomized clinical trial for 8 weeks to evaluate the effect of a TRF on anthropometric measures, body composition, eating behavior, stress level, BDNF and LBP levels in obese and overweight women with food addiction.Discussion: Given the effect of BDNF on regulating eating behavior and body weight and the effect of dietary restrictions on BDNF and the gut microbiome, the TRF diet could possibly be a new way to successfully manage weight through modifying BDNF in people with eating disorders, including food addiction.Trial Registration: Iranian Registry of Clinical Trials. IRCT20131228015968N7. Registered on 2020-10-25.

scholarly journals Polymorphism in the PPARgamma2 and beta2-adrenergic genes and diet lipid effects on body composition, energy expenditure and eating behavior of obese women

Appetite ◽  
2007 ◽  
Vol 49 (3) ◽  
pp. 635-643 ◽  
Author(s):  
Eliane Lopes Rosado ◽  
Josefina Bressan ◽  
Marta F. Martins ◽  
Paulo R. Cecon ◽  
Jose Alfredo Martínez
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Eating Behavior ◽  
Obese Women

scholarly journals Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial (Preprint)

2019 ◽  
Author(s):  
Alberto Hernández-Reyes ◽  
Fernando Cámara-Martos ◽  
Guillermo Molina Recio ◽  
Rafael Molina-Luque ◽  
Manuel Romero-Saldaña ◽  
...  
Keyword(s):  
Physical Activity ◽  
Clinical Trial ◽  
Weight Loss ◽  
Body Composition ◽  
Controlled Trial ◽  
Intervention Group ◽  
The Body ◽  
Control Group ◽  
Obese Women ◽  
Randomized Controlled

BACKGROUND Technology—in particular, access to the Internet from a mobile device—has forever changed the way we relate to others and how we behave in our daily life settings. In recent years, studies have been carried out to analyze the effectiveness of different actions via mobile phone in the field of health: telephone calls, short message service (SMS), telemedicine, and, more recently, the use of push notifications. We have continued to explore ways to increase user interaction with mobile apps, one of the pending subjects in the area of mHealth. By analyzing the data produced by subjects during a clinical trial, we were able to extract behavior patterns and, according to them, design effective protocols in weight loss programs. OBJECTIVE A clinical trial was proposed to (1) evaluate the efficacy of push notifications in an intervention aimed at improving the body composition of adult women who are overweight or obese, through a dietary procedure, and (2) analyze the evolution of body composition based on push notifications and prescribed physical activity (PA). METHODS A two-arm randomized controlled trial was carried out. A sample size of 117 adult obese women attended a face-to-face, 30-minute consultation once a week for 6 months. All patients were supplied with an app designed for this study and a pedometer. The control group did not have access to functionalities related to the self-monitoring of weight at home, gamification, or prescription of PA. The intervention group members were assigned objectives to achieve a degree of compliance with diet and PA through exclusive access to specific functionalities of the app and push notifications. The same diet was prescribed for all patients. Three possible PA scenarios were studied for both the control and intervention groups: light physical activity (LPA), moderate physical activity (MPA), and intense physical activity (IPA). For the analysis of three or more means, the analysis of variance (ANOVA) of repeated means was performed to evaluate the effects of the intervention at baseline and at 3 and 6 months. RESULTS Receiving notifications during the intervention increased body fat loss (mean -12.9% [SD 6.7] in the intervention group vs mean -7.0% [SD 5.7] in the control group; <i>P</i>&lt;.001) and helped to maintain muscle mass (mean -0.8% [SD 4.5] in the intervention group vs mean -3.2% [SD 2.8] in the control group; <i>P</i>&lt;.018). These variations between groups led to a nonsignificant difference in weight loss (mean -7.9 kg [SD 3.9] in the intervention group vs mean -7.1 kg [SD 3.4] in the control group; <i>P</i>&gt;.05). CONCLUSIONS Push notifications have proven effective in the proposed weight loss program, leading women who received them to achieve greater loss of fat mass and a maintenance or increase of muscle mass, specifically among those who followed a program of IPA. Future interventions should include a longer evaluation period; the impact of different message contents, as well as message delivery times and frequency, should also be researched. CLINICALTRIAL ClinicalTrials.gov NCT03911583; https://www.clinicaltrials.gov/ct2/show/NCT03911583

scholarly journals Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial

10.2196/13747 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e13747 ◽  
Author(s):  
Alberto Hernández-Reyes ◽  
Fernando Cámara-Martos ◽  
Guillermo Molina Recio ◽  
Rafael Molina-Luque ◽  
Manuel Romero-Saldaña ◽  
...  
Keyword(s):  
Physical Activity ◽  
Clinical Trial ◽  
Weight Loss ◽  
Body Composition ◽  
Controlled Trial ◽  
Intervention Group ◽  
The Body ◽  
Control Group ◽  
Obese Women ◽  
Randomized Controlled

Background Technology—in particular, access to the Internet from a mobile device—has forever changed the way we relate to others and how we behave in our daily life settings. In recent years, studies have been carried out to analyze the effectiveness of different actions via mobile phone in the field of health: telephone calls, short message service (SMS), telemedicine, and, more recently, the use of push notifications. We have continued to explore ways to increase user interaction with mobile apps, one of the pending subjects in the area of mHealth. By analyzing the data produced by subjects during a clinical trial, we were able to extract behavior patterns and, according to them, design effective protocols in weight loss programs. Objective A clinical trial was proposed to (1) evaluate the efficacy of push notifications in an intervention aimed at improving the body composition of adult women who are overweight or obese, through a dietary procedure, and (2) analyze the evolution of body composition based on push notifications and prescribed physical activity (PA). Methods A two-arm randomized controlled trial was carried out. A sample size of 117 adult obese women attended a face-to-face, 30-minute consultation once a week for 6 months. All patients were supplied with an app designed for this study and a pedometer. The control group did not have access to functionalities related to the self-monitoring of weight at home, gamification, or prescription of PA. The intervention group members were assigned objectives to achieve a degree of compliance with diet and PA through exclusive access to specific functionalities of the app and push notifications. The same diet was prescribed for all patients. Three possible PA scenarios were studied for both the control and intervention groups: light physical activity (LPA), moderate physical activity (MPA), and intense physical activity (IPA). For the analysis of three or more means, the analysis of variance (ANOVA) of repeated means was performed to evaluate the effects of the intervention at baseline and at 3 and 6 months. Results Receiving notifications during the intervention increased body fat loss (mean -12.9% [SD 6.7] in the intervention group vs mean -7.0% [SD 5.7] in the control group; P<.001) and helped to maintain muscle mass (mean -0.8% [SD 4.5] in the intervention group vs mean -3.2% [SD 2.8] in the control group; P<.018). These variations between groups led to a nonsignificant difference in weight loss (mean -7.9 kg [SD 3.9] in the intervention group vs mean -7.1 kg [SD 3.4] in the control group; P>.05). Conclusions Push notifications have proven effective in the proposed weight loss program, leading women who received them to achieve greater loss of fat mass and a maintenance or increase of muscle mass, specifically among those who followed a program of IPA. Future interventions should include a longer evaluation period; the impact of different message contents, as well as message delivery times and frequency, should also be researched. Trial Registration ClinicalTrials.gov NCT03911583; https://www.clinicaltrials.gov/ct2/show/NCT03911583

Effects of time-restricted feeding on body weight, body composition and vital signs in low-income women with obesity: A 12-month randomized clinical trial

2020 ◽  
Author(s):  
Isabele Rejane de Oliveira Maranhão Pureza ◽  
André Eduardo da Silva Junior ◽  
Dafiny Rodrigues Silva Praxedes ◽  
Laís Gomes Lessa Vasconcelos ◽  
Mateus de Lima Macena ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Body Composition ◽  
Body Weight ◽  
Randomized Clinical Trial ◽  
Low Income ◽  
Vital Signs ◽  
Restricted Feeding ◽  
Low Income Women

scholarly journals Effects of time-restricted feeding in weight loss, metabolic syndrome and cardiovascular risk in obese women

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jéssica D. Schroder ◽  
Hugo Falqueto ◽  
Aline Mânica ◽  
Daniela Zanini ◽  
Tácio de Oliveira ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Body Composition ◽  
Cardiovascular Risk ◽  
Overweight And Obesity ◽  
Controlled Clinical Trial ◽  
Restricted Feeding ◽  
Obese Women ◽  
Blood Biomarkers ◽  
The Metabolic Syndrome

Abstract Background The increasing prevalence of overweight and obesity among the worldwide population has been associated with a range of adverse health consequences such as Type 2 diabetes and cardiovascular diseases. The metabolic syndrome (MetS) is a cluster of cardiometabolic abnormalities that occur more commonly in overweight individuals. Time-restricted feeding (TRF) is a dietary approach used for weight loss and overall health. TRF may be an option for those subjects who struggle with extreme restriction diets with foods that generally do not belong to an individual's habits. Objective The purpose of this study was to determine the effect of TRF on body composition and the association of weight loss with metabolic and cardiovascular risks in obese middle-aged women. Methods A non-randomized controlled clinical trial was performed over 3 months in obese women (TRF group, n = 20, BMI 32.53 ± 1.13 vs. Control n = 12, BMI 34.55 ± 1.20). The TRF protocol adopted was 16 h without any energy intake followed by 8 h of normal food intake. Main outcomes and measures Anthropometric measurements, body composition, blood biomarkers, cardiovascular risk in 30 years (CVDRisk30y), and quality of life were evaluated at baseline and after the 3 months. Results TRF was effective in reducing weight (~ 4 kg), BMI, % of body fat (%BF), waist circumference from baseline without changes in blood biomarkers associated with MetS. TRF promoted a reduction in CVDRisk30y (12%) wich was moderately correlated with %BF (r = 0.62, n = 64, p < 0.001) and %MM (r = − 0.74, n = 64, p < 0.001). Conclusions TRF protocol reduces body weight without changes in biomarkers related to MetS. In addition, the anthropometric evaluation that predicts %BF and %MM could be used as an approach to follow individuals engaged in the TRF regimen since they correlate with cardiovascular risk.

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