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Journal ArticleDOI

Emotion regulation difficulties interact with negative, not positive, emotional eating to strengthen relationships with disordered eating: An exploratory study.

01 Mar 2021-Appetite (Academic Press)-Vol. 158, pp 105038-105038
TL;DR: Higher negative emotional eating was associated with higher weight concerns and global scores of disordered eating when emotion regulation difficulties was average and increased and lower dietary restraint when emotionregulation difficulties was decreased.
About: This article is published in Appetite.The article was published on 2021-03-01 and is currently open access. It has received 28 citations till now. The article focuses on the topics: Emotional eating & Disordered eating.
Citations
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Journal ArticleDOI
01 May 1981
TL;DR: This chapter discusses Detecting Influential Observations and Outliers, a method for assessing Collinearity, and its applications in medicine and science.
Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

4,948 citations

Journal ArticleDOI
01 Jun 2021-Appetite
TL;DR: In this paper, the authors explored perceived changes in eating behaviours in relation to self-reported negative affect during the COVID-19 pandemic and examined direct and indirect effects of alexithymia on emotional eating.

47 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the association between emotional eating and frequency of consuming fast food, high-fat snacks, processed meat products, dessert foods, and sugar-sweetened beverages in adolescents.
Abstract: Emotional eating is one factor that increases the consumption of unhealthy food. This study aimed to investigate the association between emotional eating and frequencies of consuming fast food, high-fat snacks, processed meat products, dessert foods, and sugar-sweetened beverages (SSBs) in adolescents. The baseline survey data (2015) from the Taiwan Adolescent to Adult Longitudinal Study (TAALS) were fitted into multivariate logistic regression models adjusted for sex, school type, Body Mass Index (BMI), eating while doing something, nutrition label reading, skipping breakfast, smoking, binge drinking, sedentary lifestyle, physical activity, peer and school support, and parental education level. Among the 18,461 participants (48.5% male and 51.5% female), those exhibiting emotional eating were more likely to consume fast food (Odds ratio (OR) = 2.40, 95% Confidence interval (CI): 2.18-2.64), high-fat snacks (OR = 2.30, 95% CI: 2.12-2.49), processed meat products (OR = 1.92, 95% CI: 1.78-2.08), dessert foods (OR = 2.49, 95% CI: 2.31-2.69), and sugar-sweetened beverages (OR = 1.83, 95% CI: 1.70-1.98). Factors that were positively associated with unhealthy food consumption included eating while doing other activities, binge drinking, smoking, and sedentary lifestyle. Among all the covariates, nutrition label reading was the only factor that was inversely associated with frequent unhealthy food consumption. Sex and school type may moderate the effect of emotional eating on the frequent consumption of specific unhealthy food groups. In conclusion, adolescents with high emotional eating were more likely to report frequent consumption of unhealthy foods in Taiwan. Our findings showed that male participants appeared to consume fast foods, high-fat snacks, processed meat, and SSBs more often and dessert foods less often than females. Future longitudinal studies are recommended for understanding the causal relationship between emotional eating and unhealthy food consumption.

16 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the prevalence and factors associated with negative emotional eating among urban Chinese university students and found that negative eating is prevalent among female students and not uncommon among male students.
Abstract: Emotional eating (EE), defined as eating in response to a range of emotions, has been previously associated with poor diet and obesity. Since there are limited data from non-Western populations, this study aims to examine the prevalence and factors associated with EE among urban Chinese university students. A cross-sectional study was conducted on 424 university students (aged 18–24 years) from two large universities in Hong Kong in 2019. Respondents completed an anonymous online questionnaire that contained background questions, an emotional eating subscale of the Dutch Eating Behaviour Questionnaire (DEBQ), and Depression Anxiety and Stress Scales (DASS-21). Two-sample independent t-test and multiple regression analyses were conducted to test the association of study variables with negative emotional eating. There was over a three-fold higher likelihood of negative EE among females (14.8%) when compared with their male counterparts (4.5%) (OR = 3.7, p < 0.05). Having at least mild depressive symptoms was the only independent factor associated with negative EE among males (OR = 10.1) while for females, negative EE was independently associated with not having a romantic partner (OR = 3.45), having depressive symptoms (OR = 44.5), and having at least mild stress (OR = 5.65). Anxiety levels were not independently associated with negative EE for either gender. Both male and female students with negative EE had significantly lower self-perceived health scores, higher body mass index, and lower life satisfaction scores. This study revealed that negative EE is prevalent among female Chinese university students and not uncommon among male students. Management of negative EE should be included as a component of university mental health promotion programmes in the region.

16 citations

Journal ArticleDOI
TL;DR: In this article, a cross-sectional study using an online community sample of adults examined self-reported negative (Emotional Eating Scale-Revised; EE-anger/anxiety, EE-boredom, and EE-depression) and positive (Emotion Appetite Questionnaire; EE positive) emotional eating in adulthood.
Abstract: People with emotional eating (EE) may experience weight gain and obesity, eating disorder psychopathology, and emotion dysregulation Limited research has examined experiences in childhood that may be associated with EE in adulthood Perceived parental feeding practices and emotion regulation difficulties were examined as correlates of negative and positive EE in adulthood A cross-sectional study using an online community sample of adults (N = 258) examined self-reported negative (Emotional Eating Scale-Revised; EE-anger/anxiety, EE-boredom, and EE-depression) and positive (Emotion Appetite Questionnaire; EE-positive) EE, perceived parental feeding practices (Child Feeding Questionnaire), and emotion regulation difficulties (Difficulties in Emotion Regulation Scale) Moderation analyses calculated in PROCESS macro examined emotion regulation difficulties as a moderator of relationships between perceived parental feeding practices and EE Across all models tested, age, BMI, and gender were entered as covariates Higher perceptions of parental control (monitoring and restriction) of unhealthy eating behaviors and pressure to eat were more strongly associated with EE-anger/anxiety and EE-positive when emotion regulation difficulties were high Higher perceptions of parental restriction of unhealthy eating behaviors and pressure to eat were more strongly associated with higher EE-boredom when emotion regulation difficulties were high No significant interactions between perceived parental feeding practices and emotion regulation difficulties emerged in relation to EE-depression Perceived controlling parental feeding practices and emotion regulation difficulties may explain meaningful variance in negative and positive EE in adulthood

12 citations

References
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Reference EntryDOI
11 Jun 2013

113,134 citations

Journal ArticleDOI
TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
Abstract: Given the recent attention to movement abnormalities in psychosis spectrum disorders (e.g., prodromal/high-risk syndromes, schizophrenia) (Mittal et al., 2008; Pappa and Dazzan, 2009), and an ongoing discussion pertaining to revisions of the Diagnostic and Statistical Manuel of Mental Disorders (DSM) for the upcoming 5th edition, we would like to take this opportunity to highlight an issue concerning the criteria for tic disorders, and how this might affect classification of dyskinesias in psychotic spectrum disorders. Rapid, non-rhythmic, abnormal movements can appear in psychosis spectrum disorders, as well as in a host of commonly co-occurring conditions, including Tourette’s Syndrome and Transient Tic Disorder (Kerbeshian et al., 2009). Confusion can arise when it becomes necessary to determine whether an observed movement (e.g., a sudden head jerk) represents a spontaneous dyskinesia (i.e., spontaneous transient chorea, athetosis, dystonia, ballismus involving muscle groups of the arms, legs, trunk, face, and/or neck) or a tic (i.e., stereotypic or patterned movements defined by the relationship to voluntary movement, acute and chronic time course, and sensory urges). Indeed, dyskinetic movements such as dystonia (i.e., sustained muscle contractions, usually producing twisting and repetitive movements or abnormal postures or positions) closely resemble tics in a patterned appearance, and may only be visually discernable by attending to timing differences (Gilbert, 2006). When turning to the current DSM-IV TR for clarification, the description reads: “Tic Disorders must be distinguished from other types of abnormal movements that may accompany general medical conditions (e.g., Huntington’s disease, stroke, Lesch-Nyhan syndrome, Wilson’s disease, Sydenham’s chorea, multiple sclerosis, postviral encephalitis, head injury) and from abnormal movements that are due to the direct effects of a substance (e.g., a neuroleptic medication)”. However, as it is written, it is unclear if psychosis falls under one such exclusionary medical disorder. The “direct effects of a substance” criteria, referencing neuroleptic medications, further contributes to the uncertainty around this issue. As a result, ruling-out or differentiating tics in psychosis spectrum disorders is at best, a murky endeavor. Historically, the advent of antipsychotic medication in the 1950s has contributed to the confusion about movement signs in psychiatric populations. Because neuroleptic medications produce characteristic movement disorder in some patients (i.e. extrapyramidal side effects), drug-induced movement disturbances have been the focus of research attention in psychotic disorders. However, accumulating data have documented that spontaneous dyskinesias, including choreoathetodic movements, can occur in medication naive adults with schizophrenia spectrum disorders (Pappa and Dazzan, 2009), as well as healthy first-degree relatives of chronically ill schizophrenia patients (McCreadie et al., 2003). Taken together, this suggests that movement abnormalities may reflect pathogenic processes underlying some psychotic disorders (Mittal et al., 2008; Pappa and Dazzan, 2009). More specifically, because spontaneous hyperkinetic movements are believed to reflect abnormal striatal dopamine activity (DeLong and Wichmann, 2007), and dysfunction in this same circuit is also proposed to contribute to psychosis, it is possible that spontaneous dyskinesias serve as an outward manifestation of circuit dysfunction underlying some schizophrenia-spectrum symptoms (Walker, 1994). Further, because these movements precede the clinical onset of psychotic symptoms, sometimes occurring in early childhood (Walker, 1994), and may steadily increase during adolescence among populations at high-risk for schizophrenia (Mittal et al., 2008), observable dyskinesias could reflect a susceptibility that later interacts with environmental and neurodevelopmental factors, in the genesis of psychosis. In adolescents who meet criteria for a prodromal syndrome (i.e., the period preceding formal onset of psychotic disorders characterized by subtle attenuated positive symptoms coupled with a decline in functioning), there is sometimes a history of childhood conditions which are also characterized by suppressible tics or tic like movements (Niendam et al., 2009). On the other hand, differentiating between tics and dyskinesias has also complicated research on childhood disorders such as Tourette syndrome (Kompoliti and Goetz, 1998; Gilbert, 2006). We propose consideration of more explicit and operationalized criteria for differentiating tics and dyskinesias, based on empirically derived understanding of neural mechanisms. Further, revisions of the DSM should allow for the possibility that movement abnormalities might reflect neuropathologic processes underlying the etiology of psychosis for a subgroup of patients. Psychotic disorders might also be included among the medical disorders that are considered a rule-out for tics. Related to this, the reliability of movement assessment needs to be improved, and this may require more training for mental health professionals in movement symptoms. Although standardized assessment of movement and neurological abnormalities is common in research settings, it has been proposed that an examination of neuromotor signs should figure in the assessment of any patient, and be as much a part of the patient assessment as the mental state examination (Picchioni and Dazzan, 2009). To this end it is important for researchers and clinicians to be aware of differentiating characteristics for these two classes of abnormal movement. For example, tics tend to be more complex than myoclonic twitches, and less flowing than choreoathetodic movements (Kompoliti and Goetz, 1998). Patients with tics often describe a sensory premonition or urge to perform a tic, and the ability to postpone tics at the cost of rising inner tension (Gilbert, 2006). For example, one study showed that patients with tic disorders could accurately distinguish tics from other movement abnormalities based on the subjective experience of some voluntary control of tics (Lang, 1991). Another differentiating factor derives from the relationship of the movement in question to other voluntary movements. Tics in one body area rarely occur during purposeful and voluntary movements in that same body area whereas dyskinesia are often exacerbated by voluntary movement (Gilbert, 2006). Finally, it is noteworthy that tics wax and wane in frequency and intensity and migrate in location over time, often becoming more complex and peaking between the ages of 9 and 14 years (Gilbert, 2006). In the case of dyskinesias among youth at-risk for psychosis, there is evidence that the movements tend to increase in severity and frequency as the individual approaches the mean age of conversion to schizophrenia spectrum disorders (Mittal et al., 2008). As revisions to the DSM are currently underway in preparation for the new edition (DSM V), we encourage greater attention to the important, though often subtle, distinctions among subtypes of movement abnormalities and their association with psychiatric syndromes.

67,017 citations

Book
06 May 2013
TL;DR: In this paper, the authors present a discussion of whether, if, how, and when a moderate mediator can be used to moderate another variable's effect in a conditional process analysis.
Abstract: I. FUNDAMENTAL CONCEPTS 1. Introduction 1.1. A Scientist in Training 1.2. Questions of Whether, If, How, and When 1.3. Conditional Process Analysis 1.4. Correlation, Causality, and Statistical Modeling 1.5. Statistical Software 1.6. Overview of this Book 1.7. Chapter Summary 2. Simple Linear Regression 2.1. Correlation and Prediction 2.2. The Simple Linear Regression Equation 2.3. Statistical Inference 2.4. Assumptions for Interpretation and Statistical Inference 2.5. Chapter Summary 3. Multiple Linear Regression 3.1. The Multiple Linear Regression Equation 3.2. Partial Association and Statistical Control 3.3. Statistical Inference in Multiple Regression 3.4. Statistical and Conceptual Diagrams 3.5. Chapter Summary II. MEDIATION ANALYSIS 4. The Simple Mediation Model 4.1. The Simple Mediation Model 4.2. Estimation of the Direct, Indirect, and Total Effects of X 4.3. Example with Dichotomous X: The Influence of Presumed Media Influence 4.4. Statistical Inference 4.5. An Example with Continuous X: Economic Stress among Small Business Owners 4.6. Chapter Summary 5. Multiple Mediator Models 5.1. The Parallel Multiple Mediator Model 5.2. Example Using the Presumed Media Influence Study 5.3. Statistical Inference 5.4. The Serial Multiple Mediator Model 5.5. Complementarity and Competition among Mediators 5.6. OLS Regression versus Structural Equation Modeling 5.7. Chapter Summary III. MODERATION ANALYSIS 6. Miscellaneous Topics in Mediation Analysis 6.1. What About Baron and Kenny? 6.2. Confounding and Causal Order 6.3. Effect Size 6.4. Multiple Xs or Ys: Analyze Separately or Simultaneously? 6.5. Reporting a Mediation Analysis 6.6. Chapter Summary 7. Fundamentals of Moderation Analysis 7.1. Conditional and Unconditional Effects 7.2. An Example: Sex Discrimination in the Workplace 7.3. Visualizing Moderation 7.4. Probing an Interaction 7.5. Chapter Summary 8. Extending Moderation Analysis Principles 8.1. Moderation Involving a Dichotomous Moderator 8.2. Interaction between Two Quantitative Variables 8.3. Hierarchical versus Simultaneous Variable Entry 8.4. The Equivalence between Moderated Regression Analysis and a 2 x 2 Factorial Analysis of Variance 8.5. Chapter Summary 9. Miscellaneous Topics in Moderation Analysis 9.1. Truths and Myths about Mean Centering 9.2. The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis 9.3. Artificial Categorization and Subgroups Analysis 9.4. More Than One Moderator 9.5. Reporting a Moderation Analysis 9.6. Chapter Summary IV. CONDITIONAL PROCESS ANALYSIS 10. Conditional Process Analysis 10.1. Examples of Conditional Process Models in the Literature 10.2. Conditional Direct and Indirect Effects 10.3. Example: Hiding Your Feelings from Your Work Team 10.4. Statistical Inference 10.5. Conditional Process Analysis in PROCESS 10.6. Chapter Summary 11. Further Examples of Conditional Process Analysis 11.1. Revisiting the Sexual Discrimination Study 11.2. Moderation of the Direct and Indirect Effects in a Conditional Process Model 11.3. Visualizing the Direct and Indirect Effects 11.4. Mediated Moderation 11.5. Chapter Summary 12. Miscellaneous Topics in Conditional Process Analysis 12.1. A Strategy for Approaching Your Analysis 12.2. Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect? 12.3. Comparing Conditional Indirect Effects and a Formal Test of Moderated Mediation 12.4. The Pitfalls of Subgroups Analysis 12.5. Writing about Conditional Process Modeling 12.6. Chapter Summary Appendix A. Using PROCESS Appendix B. Monte Carlo Confidence Intervals in SPSS and SAS

26,144 citations


"Emotion regulation difficulties int..." refers methods in this paper

  • ...Moderation analyses (Model 1; Hayes, 2018) were calculated using PROCESS macro in SPSS 26....

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Book
08 Jul 1980
TL;DR: In this article, the authors present a method for detecting and assessing Collinearity of observations and outliers in the context of extensions to the Wikipedia corpus, based on the concept of Influential Observations.
Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

6,449 citations

Book
08 Sep 2020
TL;DR: A review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species – frequent outliers.
Abstract: Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.

6,370 citations


"Emotion regulation difficulties int..." refers background in this paper

  • ..., 2005) and data from the present study provide a springboard for future research to examine potential constraints on generality with diverse, clinical samples (Henrich et al., 2010; Simonds et al., 2017)....

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Trending Questions (1)
What is the relationship between emotion regulation and eating disorders?

Emotion regulation difficulties strengthen the relationship between negative emotional eating and disordered eating, but not positive emotional eating.