scholarly journals The Binge Eating Scale: Structural Equation Competitive Models, Invariance Measurement Between Sexes, and Relationships With Food Addiction, Impulsivity, Binge Drinking, and Body Mass Index

2019 ◽  
Vol 10 ◽  
Author(s):  
Tamara Escrivá-Martínez ◽  
Laura Galiana ◽  
Marta Rodríguez-Arias ◽  
Rosa M. Baños
Keyword(s):  
Body Mass Index ◽  
Binge Eating ◽  
Binge Drinking ◽  
Body Mass ◽  
Structural Equation ◽  
Food Addiction ◽  
Binge Eating Scale

scholarly journals Psychometric Properties of Binge Eating Scale Indonesian Version

2020 ◽  
Vol 13 (1) ◽  
pp. 310-314
Author(s):  
Dyah Kusbiantari ◽  
Efi Fitriana ◽  
Zahrotur Rusyda Hinduan ◽  
Wilis Srisayekti
Keyword(s):  
Body Mass Index ◽  
Binge Eating ◽  
Psychometric Properties ◽  
Emerging Adults ◽  
Body Mass ◽  
Factor Structure ◽  
Private Universities ◽  
Good Reliability ◽  
Significant Difference ◽  
Binge Eating Scale

This research aims to examine the psychometric properties of the Indonesian version of the Binge Eating Scale (BES) and to describe characteristics of binge eating among emerging adults aged 19 – 25 years old in 3 private universities in Indonesia. The Indonesian version of BES was translated forward and backwards, according to the second edition of the ITC guidelines to confirm conceptual and linguistic equivalence. The result provided factor structure evidence and showed good reliability of the BES Indonesian version. No significant difference between man and woman and Body Mass Index was observed.

Abstract P097: Association Of Non-appetitive Eating With Hypertension In Women: Mediation By Body Mass Index

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Anna K Poon ◽  
Alison Field ◽  
Karen Mitchell ◽  
Ashley Gearhardt ◽  
Benita Jackson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Binge Eating ◽  
Body Mass ◽  
Food Addiction ◽  
Health Study ◽  
Loss Of Control ◽  
Disinhibited Eating ◽  
The Difference ◽  
Almost All ◽  
And Coping

Introduction: Although non-appetitive eating phenotypes are associated with body mass index, the extent to which they are associated with hypertension is unknown. Hypothesis: We hypothesize that non-appetitive eating phenotypes are associated with hypertension. Methods: We examined participants in a substudy on disordered eating conducted in 2013-2015, nested within the prospective cohort, Nurses’ Health Study 2. Non-appetitive eating was defined by: 1) binge eating with loss of control; 2) disinhibited eating; 3) coping-motivated eating; and 4) food addiction. Prevalent hypertension was defined by self-reported clinician diagnosis. Odds ratios and 95% confidence intervals (OR, 95% CI) were used to estimate the association of non-appetitive eating with prevalent hypertension, adjusted for age and race. The difference method was used to estimate the proportion of the associations mediated by body mass index. Results: After excluding missing exposure (n=421), the analytic sample included n=4,687 women (of n=5,108 women). Average age was 60 years (range: 49 to 68); 18% (n=824) reported binge eating with loss of control; average disinhibited eating score was 3 (range: 0 to 7); average coping-motivated eating score was 2 (range: 1 to 5); and 7% (n=349) reported food addiction. Non-appetitive eating was associated with higher odds of hypertension. Binge eating with loss of control was associated with 60% higher odds (95% CI: 1.37, 1.87) of hypertension. Per unit, disinhibited eating was associated with 18% (95% CI: 1.14, 1.21) and coping-motivated eating was associated with 38% (95% CI: 1.29, 1.47) higher odds of hypertension. Food addiction (yes versus no) was associated with a 108% higher odds (95% CI: 1.67, 2.60) of hypertension. Body mass index mediated more than 85% of the associations of each non-appetitive eating phenotype with hypertension. Conclusions: Non-appetitive eating is associated with hypertension. Body mass index explained almost all of the associations between non-appetitive eating and hypertension. Prospective studies are needed to confirm the direction of the associations.

scholarly journals Subjective Social Status Is Associated with Dysregulated Eating Behaviors and Greater Body Mass Index in an Urban Predominantly Black and Low-Income Sample

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3893
Author(s):  
Monika M. Stojek ◽  
Paulina Wardawy ◽  
Charles F. Gillespie ◽  
Jennifer S. Stevens ◽  
Abigail Powers ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Social Status ◽  
Body Mass ◽  
Low Income ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Small Sample Size ◽  
Food Addiction ◽  
Subjective Social Status ◽  
Small Sample

Background: Higher subjective social status (SSS) or a person’s perception of their social standing is related to better health outcomes, but few studies examined SSS in relation to obesity. Emotional eating and food addiction have been linked to obesity. Some studies indicated that manipulating SSS may lead to altered food intake, but the relationship between SSS and dysregulated eating, such as emotional eating and food addiction (FA), has not been examined. The goal of this study was to examine the associations between SSS in the community and the larger society, dysregulated eating (emotional eating and FA), and body mass index (BMI) in a majority racial minority sample. Methods: The participants (N = 89; 93% Black, 86% women, and 56% with obesity; 72% income lower than USD 2000), recruited from a publicly funded hospital in Atlanta, GA, completed the MacArthur Scale, Dutch Eating Behaviors Questionnaire, Yale Food Addiction Scale, Beck Depression Inventory, PTSD Symptom Checklist, and demographics questionnaire. Results: Twenty-two percent of the sample met the criteria for FA; those with FA had significantly higher BMI than those without (p = 0.018). In the hierarchical linear regression, the SSS community (but not in society) predicted higher severity of emotional eating (β = 0.26, p = 0.029) and FA (β = 0.30, p = 0.029), and higher BMI (β = 0.28, p = 0.046), independent from depression and PTSD symptoms. Conclusions: The findings indicate that, among Black individuals with predominantly low income in the U.S., perceived role in their community is associated with eating patterns and body mass. Given the small sample size, the results should be interpreted with caution.

scholarly journals Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lauren Kupis ◽  
Zachary T. Goodman ◽  
Salome Kornfeld ◽  
Celia Romero ◽  
Bryce Dirks ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Executive Function ◽  
Body Mass ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Brain Dynamics ◽  
Latent Factors ◽  
The Impact ◽  
The Relationship

Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown. The goal of the study was to assess the modulatory effects of BMI on brain dynamics and EF. A large sample of publicly available neuroimaging and neuropsychological assessment data collected from 253 adults (18–45 years; mean BMI 26.95 kg/m2 ± 5.90 SD) from the Nathan Kline Institute (NKI) were included (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Participants underwent resting-state functional MRI and completed the Delis-Kaplan Executive Function System (D-KEFS) test battery (1). Time series were extracted from 400 brain nodes and used in a co-activation pattern (CAP) analysis. Dynamic CAP metrics including dwell time (DT), frequency of occurrence, and transitions were computed. Multiple measurement models were compared based on model fit with indicators from the D-KEFS assigned a priori (shifting, inhibition, and fluency). Multiple structural equation models were computed with interactions between BMI and the dynamic CAP metrics predicting the three latent factors of shifting, inhibition, and fluency while controlling for age, sex, and head motion. Models were assessed for the main effects of BMI and CAP metrics predicting the latent factors. A three-factor model (shifting, inhibition, and fluency) resulted in the best model fit. Significant interactions were present between BMI and CAP 2 (lateral frontoparietal (L-FPN), medial frontoparietal (M-FPN), and limbic nodes) and CAP 5 (dorsal frontoparietal (D-FPN), midcingulo-insular (M-CIN), somatosensory motor, and visual network nodes) DTs associated with shifting. A higher BMI was associated with a positive relationship between CAP DTs and shifting. Conversely, in average and low BMI participants, a negative relationship was seen between CAP DTs and shifting. Our findings indicate that BMI moderates the relationship between brain dynamics of networks important for cognitive control and shifting, an index of cognitive flexibility. Furthermore, higher BMI is linked with altered brain dynamic patterns associated with shifting.

scholarly journals Factors associated with body mass index in Brazilian children: structural equation model

2017 ◽  
Vol 34 (2) ◽  
pp. 308 ◽  
Author(s):  
Tatiane Géa-Horta ◽  
Rita De Cássia Ribeiro Silva ◽  
Rosemeire Leovigildo Fiaccone ◽  
Maurício Lima Barreto ◽  
Gustavo Velásquez-Meléndez
Keyword(s):  
Body Mass Index ◽  
Structural Equation Model ◽  
Body Mass ◽  
Structural Equation ◽  
Equation Model ◽  
Factors Associated ◽  
Brazilian Children

scholarly journals Understanding the Influence of Eating Patterns on Binge Drinking: A Mediation Model

2020 ◽  
Vol 17 (24) ◽  
pp. 9451
Author(s):  
Tamara Escrivá-Martínez ◽  
Laura Galiana ◽  
Rocío Herrero ◽  
Marta Rodríguez-Arias ◽  
Rosa Mª Baños
Keyword(s):  
Binge Eating ◽  
Body Dissatisfaction ◽  
Binge Drinking ◽  
Mean Squared Error ◽  
Food Addiction ◽  
Fat Intake ◽  
Drive For Thinness ◽  
Eating Pattern ◽  
Eating Styles ◽  
The Relationship

Background: Binge drinking is an important health problem, and it has been related to binge eating and fat intake in animal models, but this relationship has not been tested in humans. The first objective of this study was to analyze whether binge eating and fat intake are related to binge drinking in a youth sample. The second objective was to analyze whether binge eating and fat intake mediate the relationship between individual factors associated with binge eating and fat intake (sex, body mass index (BMI), drive for thinness, body dissatisfaction, eating styles, impulsivity, and food addiction) and binge drinking. Methods: A sample of 428 undergraduate students filled out several questionnaires on binge drinking, binge eating, fat intake, drive for thinness, body dissatisfaction, eating styles, food addiction, and impulsivity. Results: Results showed an excellent model fit: χ2(25) = 30.342 (p = 0.212), comparative fit index (CFI) = 0.992, root mean squared error of approximation (RMSEA) = 0.022 [90% CI = 0.000, 0.047]. Binge eating and fat intake were positively related to binge drinking. Furthermore, emotional eating, external eating, and food addiction showed positive and statistically significant indirect relationships with binge drinking, whereas the relationship with restrained eating was negative. Conclusions: These findings point to the need to use a broader approach in understanding and preventing binge drinking in the youth population by showing the influence of the eating pattern on this problem. This information could be helpful in preventing future behaviors and improving interventions that address health risk behaviors.

Sign in / Sign up

Export Citation Format

Share Document