scholarly journals Differences in Eating Behavior Among Followers of Popular Diets Across Categories of Perceived Adherence

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 980-980
Author(s):  
Kara Livingston ◽  
Micaela Karlsen ◽  
Gail Rogers ◽  
Sai Das ◽  
Alice Lichtenstein ◽  
...  

Abstract Objectives To understand how eating behaviors, susceptibility to the food environment, and perceived dietary habit strength differ across self-reported categories of adherence. Methods We used data in a sample (n = 2829) from Adhering to Dietary Approaches for Personal Taste (ADAPT), an online study conducted in self-identified popular diet followers. Adherence was categorized into 3 groups: >95% of the time (high adherers = HA), between 75–95% (moderate adherers = MA); <75% time (lower adherers = LA). The Power of Food Scale (POF) assessed susceptibility to the food environment (availability, presentation, taste), with higher scores indicating food has a higher power over dietary decisions. The Three-Factor Eating Questionnaire captured cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE), with higher scores indicating greater response to the specific eating behavior. The Self-Report Habit Index (SRHI) measured perceived habit strength with respect to eating, with a lower score indicating stronger habits. We used ANCOVA adjusting for age, sex, time on diet, and diet group to compare POF, CR, UE, EE, and SRHI outcomes across adherence groups. Results Sixty six percent were HA (n = 1881), 28% MA (n = 787), and 6% LA (n = 161). LA were significantly more susceptible to food availability (mean [95% CI] = 14.9 [13.8–16.1]), presentation (12.1 [11.2–13.1]), and taste (13.4 [12.6–14.2], compared to HA (11 [10.7–11.3], 8 [7.8–8.3],11.6 [11.4–11.9]), respectively. LA indicated significantly greater UE (21 [20.2–21.9]) than HA (17 [16.7–17.4]) and EE (LA = 8 [7.5–8.4] vs. HA = 6.1 [6–6.3]). No significant differences were observed with respect to CR. LA reported weaker SRHI habits (3.4 [3.2–3.6]) compared to HA (1.7 [1.7–1.8]). Differences seen between the LA and MA were similar to those described for HA. Conclusions Our findings show that higher self-reported adherence to dietary patterns is associated with lower susceptibility to negative influences in the food environment, lower uncontrolled and emotional eating, and greater habit strength. Future research should investigate the directionality of the relationship between eating behavior and adherence. Funding Sources USDA Cooperative Agreements 58-8050-9-004 & 58-8050-4-003, General Mills Bell Institute of Health & Nutrition

2020 ◽  
pp. 135910452096452
Author(s):  
Stefania Cella ◽  
Sebastiano Costa ◽  
Annarosa Cipriano ◽  
Paolo Cotrufo

We examined the impact of paternal rejection (based on father’s and children’s reports) on the children’s emotional eating behavior and if child psychological maladjustment mediated this relationship. Three hundred sixty-nine dyads of fathers and children were screened using self-report measures of demographic data, parental rejection, child psychological maladjustment, and disordered eating behavior. Children’s subjective perceptions of relationship with father have more impact on their psychological outcomes and unhealthy dietary patterns than father reported parenting quality. Children’s unhealthy psychological adjustment may be an essential underlying mechanism linking perceived paternal rejection of children’s emotional eating behaviors.


2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.


Author(s):  
Caitlin Mason ◽  
Jean de Dieu Tapsoba ◽  
Catherine Duggan ◽  
Ching-Yun Wang ◽  
Catherine M. Alfano ◽  
...  

Abstract Background Certain eating behaviors are common among women with obesity. Whether these behaviors influence outcomes in weight loss programs, and whether such programs affect eating behaviors, is unclear. Methods Our aim was to examine the effect of baseline eating behaviors on intervention adherence and weight among postmenopausal women with overweight or obesity, and to assess intervention effects on eating behaviors. Four hundred and 39 women (BMI ≥25 kg/m2) were randomized to 12 months of: i) dietary weight loss with a 10% weight loss goal (‘diet’; n = 118); ii) moderate-to-vigorous intensity aerobic exercise for 225 mins/week (‘exercise’; n = 117); iii) combined dietary weight loss and exercise (‘diet + exercise’; n = 117); or iv) no-lifestyle change control (n = 87). At baseline and 12 months, restrained eating, uncontrolled eating, emotional eating and binge eating were measured by questionnaire; weight and body composition were assessed. The mean change in eating behavior scores and weight between baseline and 12 months in the diet, exercise, and diet + exercise arms were each compared to controls using the generalized estimating equation (GEE) modification of linear regression adjusted for age, baseline BMI, and race/ethnicity. Results Baseline restrained eating was positively associated with change in total calories and calories from fat during the dietary intervention but not with other measures of adherence. Higher baseline restrained eating was associated with greater 12-month reductions in weight, waist circumference, body fat and lean mass. Women randomized to dietary intervention had significant reductions in binge eating (− 23.7%, p = 0.005 vs. control), uncontrolled eating (− 24.3%, p < 0.001 vs. control), and emotional eating (− 31.7%, p < 0.001 vs. control) scores, and a significant increase in restrained eating (+ 60.6%, p < 0.001 vs. control); women randomized to diet + exercise reported less uncontrolled eating (− 26.0%, p < 0.001 vs. control) and emotional eating (− 22.0%, p = 0.004 vs. control), and increased restrained eating (+ 41.4%, p < 0.001 vs. control). Women randomized to exercise alone had no significant change in eating behavior scores compared to controls. Conclusions A dietary weight loss intervention helped women modify eating behaviors. Future research should investigate optimal behavioral weight loss interventions for women with both disordered eating and obesity. Trial registration NCT00470119 (https://clinicaltrials.gov). Retrospectively registered May 7, 2007.


QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Heba E Essawy ◽  
Ahmed A Abdelgawad ◽  
Marwa E Khamis ◽  
Alaa Zakaria

ABSTRACT Background There is emergent evidence that disturbed eating behaviors, including emotional eating and obesity, co-occur with attention deficit hyperactivity disorder (ADHD) in children. The current study aims to examine the link between ADHD symptoms, eating behaviors and obesity in ADHD children. Patients and Methods 50 ADHD children diagnosed by Conners scale were included. They completed the Emotional Eating scale adapted for children (ESS-C) to evaluate eating in response to emotions. Parents completed the Children’s Eating Behavior Questionnaire (CEBQ) to assess children’s eating behavior. Multivariable regression analysis was used to detect the most independent factor for higher Body mass Index (BMI) risk. Results: Higher rates of overweight/obesity were detected among ADHD children than among normal population. Also, higher Conners global index was associated with higher BMI z-scores. Both Inattentive and combined types were linked to higher BMI, while hyperactive type with lower BMI. Regarding eating behaviors, a positive association between food approach and BMI, and a negative association between food avoidant and BMI z-scores was found. Similarly, there was a noteworthy positive relation between emotional overeating and BMI. 68% of ADHD children were high emotional eaters, mainly inattentive and combined types. Others, mainly hyperactive type, were low emotional eaters. Only ESS-C total score was confirmed as independent factor for higher BMI risk. Conclusion Our findings provide evidence that emotional overeating and food approach eating behaviors are common among ADHD children with higher BMI associated with them. Future studies for better understanding of this overlap will enhance potential interventions.


2021 ◽  
Vol 85 (3) ◽  
pp. 316-330
Author(s):  
Julie M. Petersen ◽  
Carrie Durward ◽  
Michael Levin

Weight self-stigma, the internalization of negative societal stereotypes, is a problem among populations with high weight. Weight self-stigma is associated with psychological inflexibility and maladaptive health-related behaviors. In this study, the authors explore how weight-related psychological inflexibility may influence weight self-stigma and health-related outcomes in 79 adults with high weight. Participants were primarily White (92.4%) and female (82.3%), with an average age of 39.56 years and average body mass index of 33.78. The study uses baseline, self-report data from a larger trial. Results indicate that weight self-stigma was negatively correlated with maladaptive eating behaviors, weight, and mental health. Weight-related psychological inflexibility was found as a significant mediator for the relationship between weight self-stigma and emotional eating, sedentary behavior, and mental health. Weight-related psychological inflexibility did not mediate the relationships between weight self-stigma and other eating measures and physical activity. These results support targeting weight-related psychological inflexibility and weight self-stigma in interventions.


2020 ◽  
Vol 8 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Marios Argyrides ◽  
Evagelia Alexiou

The purpose of the current study was threefold: a) to collect a very large representative sample of adolescents and assess for their levels of disordered eating behaviors; b) to describe the characteristics of adolescents with disordered eating behaviors in Cyprus based on the measures that were used in the study and c) to compare the adolescents with significant disordered eating behaviors (EAT-26 ≥ 20) to the ones without any disordered eating behaviors (EAT < 20) on all the variables of interest. A total of 2664 secondary school students responded to self-report measures assessing disordered eating, negative body image, situational dysphoria, self-esteem and media influences. Results indicated that 16.04% of the overall sample of adolescents scored significantly on the EAT-26 (21.4% of females and 8.4% of males). Results also indicated that the majority of the adolescents with disordered eating behaviors were female, mainly from average socioeconomic status, normal Body Mass Index and grew up and reside in an urban area. Finally, adolescents in the disordered eating behaviors group scored significantly lower on appearance satisfaction and self-esteem and significantly higher on appearance investment, weight-related anxiety, situational dysphoria, internalization of the thin and athletic ideals as well as feeling pressured from the media and considering the media as a good source of information. In conclusion, results indicate a substantial difference in levels of disordered eating in adolescents as compared to previous research in Cyprus. Possible explanations are addressed as well as implications for prevention strategies and future research ideas based on the findings.


2020 ◽  
Vol 42 (11) ◽  
pp. 894-902
Author(s):  
Stephanie Pickett ◽  
Thomas P. McCoy ◽  
Love Odetola

This study examines the influence of chronic stress, varied positive and negative emotions on eating behaviors, and weight among 91 community-dwelling African American women 18–40 years old. Study measures include hair cortisol, Differential Emotional Scale IV, Eating Behavior Pattern Questionnaire, demographic form, waist circumference, and Body Mass Index (BMI). Analysis revealed positive emotions of interest ( rs = .27, p = .011) and surprise ( rs = .23, p = .029) were associated with low fat eating. Negative emotions of anger ( rs = .23, p = .035), shyness ( rs = .29, p = .006), and guilt ( rs = .24, p = .022) were positively associated with emotional eating. Mediation analysis suggests that emotional eating mediates anger (indirect effect = 0.136), shyness (0.144), guilt (0.187), and BMI among young African American women. Chronic stress and positive and negative emotions impact eating behaviors and should be considered for successful weight management among African American women.


2021 ◽  
Vol 12 ◽  
Author(s):  
Tamara R. Cohen ◽  
Lisa Kakinami ◽  
Hugues Plourde ◽  
Claudia Hunot-Alexander ◽  
Rebecca J. Beeken

The current study aimed to test the factor structure of the Adult Eating Behavior Questionnaire (AEBQ), its construct validity against the Three-Factor Eating Questionnaire (TFEQ-R18) and its associations with body mass index (BMI) in Canadian adults (n = 534, 76% female). Confirmatory factor analysis (CFA) revealed that a seven-factor AEBQ model, with the Hunger subscale removed, had better fit statistics than the original eight-factor structure. Cronbach’s alpha was used to assess the internal reliability of each subscale and resulted with α &gt; 0.70 for all subscales except for Hunger (α = 0.68). Pearson’s correlations were used to inform the convergent and discriminant validation of AEBQ against the TFEQ-R18 and to examine the relationship between AEBQ and BMI. All AEBQ Food Approach subscales positively correlated with that of the TFEQ-R18 Emotional Eating and Uncontrolled Eating subscales. Similarly, BMI correlated positively with Food Approach subscales (except Hunger) and negatively with Food Avoidance subscales (except Food Fussiness). These results support the use of a seven-factor AEBQ for adults self-reporting eating behaviors, construct validity of the AEBQ against TFEB-R18, and provide further evidence for the association of these traits with BMI.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eda Koksal ◽  
Melahat Sedanur Macit ◽  
Saniye Bilici ◽  
Efsun Karabudak

Purpose Obesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk. Design/methodology/approach In the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors. Findings Individuals composed of 698 males, aged 28.6 ± 10.3 years and 1,736 females, aged 25.1 ± 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach’s α value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 ± 3.7). Although, single people have higher emotional eating scores (7.5 ± 2.6) (p = 0.006). There is a positive correlation among waist–height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001). Originality/value According to the authors’ knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.


Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1974 ◽  
Author(s):  
Jared McGuirt ◽  
Stephanie Jilcott Pitts ◽  
Alison Gustafson

Because supermarkets are a critical part of the community food environment, the purpose of this paper is to examine the association between accessibility to the supermarket where participants were surveyed, frequency of shopping at the supermarket, and self-reported and objectively-assessed fruit and vegetable consumption. Accessibility was assessed using Geographic Information Systems (GIS) measured distance and multiple versions of the modified Retail Food Environment Index (mRFEI), including a localized road network buffer version. Frequency of shopping was assessed using self-report. The National Cancer Institute Fruit and Vegetable screener was used to calculate daily servings of fruits and vegetables. Skin carotenoids were assessed using the “Veggie Meter™” which utilizes reflection spectroscopy to non-invasively assess skin carotenoids as an objective measure of fruit and vegetable consumption. Bivariate and multivariable statistics were used to examine the associations in RStudio. There was a positive association between skin carotenoids and the Special Supplemental Nutrition Program for Women Infants and Children (WIC) and mRFEI scores, suggesting that WIC participation and a healthier food environment were associated with objectively-assessed fruit and vegetable consumption (skin carotenoids). Future research should examine these associations using longitudinal study designs and larger sample sizes.


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