This study aimed to (1) evaluate the prevalence and predictors of perceived depression, anxiety, stress (DAS) levels and emotional eating behaviours and (2) determine the correlations between DAS levels and emotional eating behaviours during the pandemic.

An online cross-sectional study included questions about demographic and anthropometric characteristics, dietary habits, Emotional Appetite Questionnaire (EMAQ) and Depression Anxiety Stress Scales. The snowball sampling method was used.

Türkiye.

The study population was 2002 adults aged ≥18 years.

The mean age was 27·1 ± 9·52 years (72·1 % females and 27·9 % males). The prevalence of moderate to severe DAS was reported as 27·8 %, 30·5 % and 30·7 %, respectively. Skipping meals (OR = 1·32, 95 % CI (1·14, 1·49)) was associated with depression. Weight gain (OR = 1·43, 95 % CI (1·19, 1·66); OR = 1·30, 95 % CI (1·14, 1·49); OR = 1·39, 95 % CI (1·14, 1·64)), weight loss (OR = 1·45, 95 % CI (1·20, 1·70); OR = 1·37, 95 % CI (1·11, 1·62); OR = 1·46, 95 % CI (1·20, 1·72)), exercising at least 150 min/week (OR = 0·64, 95 % CI (0·46, 0·83); OR = 0·73, 95 % CI (0·55, 0·92); OR = 0·83, 95 % CI (0·63, 1·02)), and maintaining an adequate and balanced diet (OR = 0·52, 95 % CI (0·33, 0·71); OR = 0·53, 95 % CI (0·34, 0·73); OR = 0·63, 95 % CI (-0·15, 0·35)) were associated with DAS, respectively. BMI (r = 0·169, P < 0·001), weight (r = 0·152, P < 0·001), number of snacks (r = 0·102, P = 0·011), depression (r = 0·060, P = 0·007), anxiety (r = 0·061, P = 0·006) and stress (r = 0·073, P = 0·001) levels were positively correlated with EMAQ-negative scores.

Approximately one out of every three participants reported moderate to severe DAS levels. Emotional eating was significantly correlated with perceived DAS. The predictors obtained in the study suggest that a healthy diet and lifestyle behaviours are part of psychological well-being and emotional eating.

Stress is associated with binge eating and emotional eating (EE) cross-sectionally. However, few studies have examined stress longitudinally, limiting understanding of how within-person fluctuations in stress influence EE over time and whether stress is a risk factor or consequence of EE. Additionally, little is known regarding how the biological stress response relates to EE.

We used an intensive, longitudinal design to examine between-person and within-person effects of major life stress, daily stress, and cortisol on EE in a population-based sample of women (N = 477; ages 15–30; M = 21.8; s.d. = 3.0) from the Michigan State University Twin Registry. Participants reported past year major life stress, then provided daily ratings of EE and stress for 49 consecutive days. Hair cortisol concentration (HCC) was collected as a longitudinal biological stress measure.

Women reported greater EE when they experienced greater mean stress across days (between-person effects) or greater stress relative to their own average on a given day (within-person effects). Daily stress was more strongly associated with EE than major life stress. However, the impact of daily stress on EE was amplified in women with greater past year major life stress. Finally, participants with lower HCC had increased EE.

Findings confirm longitudinal associations between stress and EE in women, and highlight the importance of within-person shifts in stress in EE risk. Results also highlight HCC as a novel biological stress measure that is significantly associated with EE and may overcome limitations of prior physiological stress response indicators.

Obesity has been associated with certain psychiatric disorders, especially in patients seeking treatment. It is known that obesity is not a psychiatric disorder in itself, however, it should be noted that a significant part of the population has some type of clinical eating disorder.

This study aims to assess levels of Binge Eating Disorder, Night Eating Syndrome and Emotional Eating patterns, according to different groups of Body Mass Index categories.

A sample of 220 subjects, aged between 18 and 81 years old, with an average age of 33 years participated in this study. 140 (63.6%) were female and 80 were male (36.4%) The sample was divided into three comparison groups, according to the Body Mass Index (BMI). The following measures were used: Sociodemographic questionnaire, Binge Eating Scale, Night Eating Habits Questionnaire, and the Emotional Eating Scale.

When comparing the different BMI groups, it was found that obese subjects were the ones that most reported binge eating behavior. Overweight subjects had higher levels of binge eating when compared to normal-weight participants, but this was not true for Night Eating habits. Subjects with normal weight reported more nocturnal eating behavior, followed by obese individuals.

The prevalence of binge eating disorder seems to be more frequent in obese people, tending to increase according to the level of severity of obesity. Normal-weight subjects reported more nocturnal eating behavior, so they may be more likely to develop this syndrome and, consequently, overweight or obesity.

Restraint theory (Herman and Polivy, 1975) suggests that human eating behaviour is under cognitive control and this leads to reduced sensitivity to internal cues for satiety, resulting in overeating in situations where cognitive control is under-mined (Johnson et al., 2012). In other words, restraint theory suggests that restraint (dieting) actually leads to leads to an excessive intake of food.

The present study sought to investigate the relationship between dieting, eating behaviours (uncontrolled eating, emotional eating, cognitive restraint) and rumination (repetitive negative thinking). The second objective was to determine whether rumination mediates the relationship between dieting and both uncontrolled eating and emotional eating.

The sample was composed of 188 women (Mage = 29.46 ± 8.94; MBMI = 23.16 ± 4.04). The Eating Attitudes Test, the Three-Factor Eating Questionnaire and the Perseverative Thinking Questionnaire were used in the present study.

Dieting for weight control (intentional weight loss) was associated with higher levels of uncontrolled eating, emotional eating, cognitive restraint and repetitive negative thinking. Mediation analyses showed that the relationship between dieting and inappropriate eating behaviours was mediated by rumination. The direct effect of dieting on both uncontrolled eating and emotional eating was significant, suggesting partial mediation.

Our findings support the relevance of rumination in linking dieting and eating behaviours among women. The current study may have clinical applications such as the potential integration of rumination for the prevention and changes in inappropriate eating behaviours.

No significant relationships.

Previous studies have shown that emotional eating is associated with binge eating disorder, body image disturbances and depression.

In this study we wanted to find out if there is a relationship between emotional eating and body image and life satisfaction in non-clinical sample.

The study involved 182 normal participants (153 Female, 29 Male, mean age 22,6 ± 7,3), which were recruited in Moscow, Russia. Emotional eating was measured by the opposite pole of Eating for Physical Rather Than Emotional Reasons subscale of Intuitive Eating Scale-2 (IES-2), body image was measured by Multidimensional Body-Self Relations Questionnaire (MBSRQ), Satisfaction with Life Scale (SWLS) was used to measure the corresponding construct. Correlation analysis was performed in IBM SPSS Statistics 22.0.

Emotional eating was associated with the following MBSRQ subscales: lower appearance evaluation (-0,431, p<0,0001), lower body areas satisfaction (-0,335, p<0,0001), as well as lower fitness evaluation (-0,208, p=0,005) and lower health evaluation (-0,182, p=0,014), but higher overweight preoccupation (0,279, p=0,0001) and overestimation of body weight (0,362, p<0,0001). It was also connected to lower satisfaction with life (-0,195, p=0,008).

The results of the study allow us to conclude that emotional eating may pose risks to psychological health of a normal individual. It was shown that emotional eating is connected to negative evaluation of one`s body appearance, fitness and health state, weight and shape concerns, and even to the lower level of satisfaction with one’s life.

We investigated emotional eating behaviours and perceived stress during COVID-19 partial quarantine according to BMI levels in healthy adults.

Cross-sectional study.

An online survey including demographic variables, eating attitude-related questions, Emotional Eater Questionnaire (EEQ) and Perceived Stress Scale-14 (PSS-14) was sent via online data collection platform. Self-reported weight, height and weight changes during the quarantine were also collected.

A total of 506 people aged between 20–65 years who were partially quarantined due to COVID-19 participated in this study.

BMI was positively correlated with EEQ (r 0 ·205, P = 0·001). However, BMI was negatively linked with PSS-14 during COVID-19 (r -0·125, P = 0·001), indicating that participants with lower BMI had higher perceived stress during COVID-19. Participants gained weight during the lockdown situation (+1·20 ± 1·70 kg in men; +0·91 ± 1·40 kg in women). EEQ and PSS-14 scores of women found to be significantly higher than men (9·39 ± 5·37 in men v. 11·17 ± 5·85 in women for EEQ; 24·67 ± 8·32 in men v. 27·99 ± 7·34 in women for PSS-14). Obese participants consumed sweetened and carbonated drinks two-fold more in those compared with other participants.

These findings suggest that partial quarantine may be closely related to emotional eating and weight gain, and participants with higher BMI showed more emotional eating behaviours. Therefore, certain precautions should be considered beforehand in order not to cause long-term eating disorder problems.

To validate an Arabic version of the Eating Attitude Test (EAT-26) and identify factors (such as depression, stress, anxiety and body dissatisfaction) that might be associated with disordered eating among a sample of the Lebanese population.

Cross-sectional study.

All Lebanese governorates.

A total of 811 participants randomly selected participated in this 5-month study (January–May 2018).

The EAT-26 scale items converged over a solution of six factors that had an eigenvalue over 1, explaining a total of 60·07 % of the variance (Cronbach’s α = 0·895). The prevalence of disordered eating attitudes was 23·8 %. Higher EAT-26 scores (disordered eating attitudes) were significantly associated with higher depression (β = 0·325), higher emotional eating (β = 0·083), daily weighing (β = 3·430), higher physical activity (β = 0·05), starving to reduce weight (β = 4·94) and feeling pressure from TV/magazine to lose weight (β = 3·95).

The Arabic version of EAT-26 can be a useful instrument for screening and assessing disordered eating attitudes in clinical practice and research. Some factors seem to be associated with more disordered eating attitudes among participants for whom psychological counseling may be needed. Yet, our findings are considered preliminary, and further studies are warranted to confirm them.

To describe the eating behaviour styles of Irish teens and to explore the relationships between demographic factors, BMI and dietary intake and these eating behaviour styles.

Cross-sectional data from the Irish National Teens’ Food Survey (2005–2006). The Dutch Eating Behaviour Questionnaire assessed three eating behaviour styles in teens: restrained, emotional and external eating. Data were stratified by sex and age groups.

The Republic of Ireland.

Nationally representative sample of teens aged 13–17 years (n 441).

The highest scoring eating behaviour style was external eating (2·83 external v. 1·79 restraint and 1·84 emotional). Girls scored higher than boys on all three scales (Restraint: 2·04 v. 1·56, P < 0·001, Emotional: 2·15 v. 1·55, P < 0·001 and External: 2·91 v. 2·76, P = 0·03), and older teens scored higher than younger teens on the Emotional (1·97 v. 1·67, P < 0·001) and External scales (2·91 v. 2·72, P = 0·01). Teens classified as overweight/obese scored higher than those classified as normal weight on the Restraint scale (2·15 v. 1·71, P < 0·001) and lower on the External scale (2·67 v. 2·87, P < 0·03). Daily energy intake was negatively correlated with the Restraint (r −0·343, P < 0·001) and Emotional scales (r −0·137, P = 0·004) and positively correlated with the External scale (r 0·110, P = 0·02).

External eating is the predominant eating behaviour style among Irish teens, but sex, age, BMI and dietary differences exist for each eating behaviour style. Including measures of eating behaviour styles into future dietary research could help understand both how and why as well as what people eat.

Job-related chronic stress has been discussed as a risk factor for weight change and metabolic disorders. The current study was conducted to understand the situations in which stress-induced eating occurs among office workers and how workers perceive stress to influence their daily eating practices and weight change.

In-depth, one-on-one interviews were conducted with office workers.

Metropolitan areas in South Korea.

Twenty-two office workers from thirteen companies participated in the study.

Most participants mentioned that they often felt work-related stress and reported various levels of perceived stress, as measured with open-ended questions. The main sources of work stress were (i) the nature of job characteristics, (ii) performance evaluations and (iii) relationships within the organisation. Participants linked stress with increased food consumption and cravings for sweet, savoury and greasy foods. Many participants emphasised the links between multiple health behaviours and stress. Not only dietary choices but also alcohol consumption, sleeping difficulty and insufficient physical activity were related to coping with work stress and demands. Finally, most participants who perceived work stress believed that their weight gain in adulthood was triggered by work stress.

It is necessary to consider promoting behavioural modifications to support weight management and providing a means for stress management and the minimisation of stress-inducing working environments for workers to maintain or achieve a healthy weight and to prevent chronic disease incidence.

To examine the association between food insecurity and emotional eating (EE) in US Latinxs and explore the mediating role of perceived stress.

Cross-sectional analysis. Food insecurity was measured with the six-item US Department of Agriculture Household Food Security Scale; EE with the Three-Factor Eating Questionnaire R18-V2; and perceived stress with Cohen’s Perceived Stress Scale-10. Covariates included age, sex, education, marital status, household size and country of birth. Mediation was tested using the Baron and Kenny method and the mediated proportion was calculated. Analyses included multivariable linear regression and multinomial logistic regression.

A largely Latinx city in Massachusetts, USA. Participants were recruited from a community health centre serving a large portion of this Latinx community.

Latinx individuals (n 580), aged 21–84 years.

Overall, 34·4 % were food insecure and 33·8 % experienced High EE. Food insecurity was associated (adjusted OR; 95 % CI) with higher odds of High EE (1·96; 1·28, 3·02) but not Low EE (1·27; 0·82, 1·99). Food insecurity was associated (β; 95 % CI) with higher perceived stress (5·69; 4·20, 7·19). Perceived stress was associated (adjusted OR; 95 % CI) with High EE (1·09; 1·06, 1·12) but not Low EE (1·00; CI 0·97, 1·02). When perceived stress was added in the main effects model, food insecurity was no longer associated (OR; 95 % CI) with High EE (1·31; 0·83, 2·07) and explained 69·9 % of the association between food insecurity and High EE.

The association between food insecurity and high EE among Latinxs may be largely mediated by perceived stress. Longitudinal studies are needed.

The main objective of the study was to examine the relationships between parental rejection, maladaptive emotion regulation strategies, and the emotional eating style of youngsters who finished an inpatient multidisciplinary weight loss treatment program and were back in their home environment.

Participants were 52 youngsters (age 11–17 years) with an average percent over ideal BMI of 186.11% (SD = 27.54) before treatment and 136.37% (SD = 19.65) at a mean follow-up of 4 months. Participants completed questionnaires assessing maternal and paternal rejection, maladaptive emotion regulation strategies, and emotional eating. Data were analysed using bootstrapping procedure.

Mediation analyses showed that maladaptive emotion regulation partially mediated the association between maternal rejection and the youngsters’ emotional eating style. Paternal rejection was directly related to emotional eating.

The results suggest that the family climate may have an impact on the eating style of the youngsters after weight loss treatment.

The current study investigates potential pathways from socio-economic status (SES) to BMI in the adult population, considering psychological domains of eating behaviour (restrained eating, uncontrolled eating, emotional eating) as potential mediators stratified for sex.

Data were derived from the population-based cross-sectional LIFE-Adult-Study. Parallel-mediation models were conducted to obtain the total, direct and indirect effects of psychological eating behaviour domains on the association between SES and BMI for men and for women.

Leipzig, Germany.

We studied 5935 participants aged 18 to 79 years.

Uncontrolled eating mediated the association between SES and BMI in men only and restrained eating in both men and women. Emotional eating did not act as mediator in this relationship. The total effect of eating behaviour domains on the association between SES and BMI was estimated as β=−0·03 (se 0·02; 95 % CI −0·062, −0·003) in men and β=−0·18 (se 0·02; 95 % CI −0·217, −0·138) in women.

Our findings do not indicate a strong overall mediation effect of the eating behaviour domains restrained eating, uncontrolled eating and emotional eating on the association between SES and BMI. Further research on other pathways of this association is strongly recommended. Importantly, our findings indicate that, independent from one’s social position, focusing on psychological aspects in weight reduction might be a promising approach.

Previous studies have shown significant within-person changes in binge eating and emotional eating across the menstrual cycle, with substantial increases in both phenotypes during post-ovulation. Increases in both estradiol and progesterone levels appear to account for these changes in phenotypic risk, possibly via increases in genetic effects. However, to date, no study has examined changes in genetic risk for binge phenotypes (or any other phenotype) across the menstrual cycle. The goal of the present study was to examine within-person changes in genetic risk for emotional eating scores across the menstrual cycle.

Participants were 230 female twin pairs (460 twins) from the Michigan State University Twin Registry who completed daily measures of emotional eating for 45 consecutive days. Menstrual cycle phase was coded based on dates of menstrual bleeding and daily ovarian hormone levels.

Findings revealed important shifts in genetic and environmental influences, where estimates of genetic influences were two times higher in post- as compared with pre-ovulation. Surprisingly, pre-ovulation was marked by a predominance of environmental influences, including shared environmental effects which have not been previously detected for binge eating phenotypes in adulthood.

Our study was the first to examine within-person shifts in genetic and environmental influences on a behavioral phenotype across the menstrual cycle. Results highlight a potentially critical role for these shifts in risk for emotional eating across the menstrual cycle and underscore the need for additional, large-scale studies to identify the genetic and environmental factors contributing to menstrual cycle effects.