Previous research shows that children with autism spectrum disorder (ASD) may experience several difficulties—including those related to eating—and this area of research needs to be explored further. This study had two main objectives: (1) comparison of the clinical (autism spectrum disorder) and non-clinical sample of children in terms of avoidant/restrictive food disorder, food neophobia, other eating-related behaviours and feeding practices; (2) assessment of selected predictors of food neophobia. The final sample included 54 children and parents from the clinical sample (ASD) and 51 from the non-clinical sample. Parents completed: the autism spectrum rating scales (ASRS), the eating disorders in youth questionnaire (EDY-Q), the children food neophobia scale (CFNS), the child eating behaviour questionnaire (CEBQ), the child feeding questionnaire (CFQ), and a socio-demographic survey. Our analysis allowed us to partially confirm the first hypothesis since the clinical sample (vs. the non-clinical group) had significantly higher scores in such variables as (a) avoidant/restrictive food disorder (ARFID), (b) food neophobia, (c) other eating-related behaviours: emotional under-eating, desire to drink, food fussiness, (d) feeding practices: pressure to eat. Moreover, our analysis of predictors of food neophobia in the clinical and non-clinical samples also allowed us to partially confirm the second hypothesis because it turned out that only in the clinical sample (vs. the non-clinical sample) were the predictors significantly associated with food neophobia, but only two of them (food fussiness and selective eating). In conclusion, our study showed that children with ASD (compared to children without this diagnosis) experience increased difficulties in eating behaviours, and their parents present a stronger intensity of the feeding practice based on pressure to eat. This study showed that feeding problems for children in the ASD sample are a significant problem, and it is still worth exploring this area in research.

To limit the spread of the novel coronavirus (COVID-19), many countries have introduced mandated lockdown or social distancing measures. Although these measures may be successful against COVID-19 transmission, the pandemic and attendant restrictions are a source of chronic and severe stress and anxiety which may contribute to the emergence or worsening of symptoms of eating disorders and the development of negative body image. Therefore, in this study, we aimed to: (1) classify different conditions associated with COVID-19-related stress, COVID-19-related anxiety, and weight status; and (2) analyze and compare the severity of dimensions typically related to eating disorders symptomatology and body image in individuals with different COVID-19-related stress, COVID-19-related anxiety, and weight status. Polish women (N = 671, M_age = 32.50 ± 11.38) completed measures of COVID-19-related stress and anxiety along with body dissatisfaction, drive for thinness, and bulimia symptomatology subscales of the Eating Disorders Inventory, and the appearance evaluation, overweight preoccupation, and body areas satisfaction subscales of the Multidimensional Body-Self Relations Questionnaire. The following four clusters were identified through cluster analysis: (a) Cluster 1 (N = 269), healthy body weight and low COVID-related stress (M = 3.06) and anxiety (M = 2.96); (b) Cluster 2 (N = 154), healthy body weight and high COVID-related stress (M = 5.43) and anxiety (M = 5.29); (c) Cluster 3 (N = 127), excess body weight and high COVID-related stress (M = 5.23) and anxiety (M = 5.35); (d) Cluster 4 (N = 121), excess body weight and low COVID-related stress (M = 2.69) and anxiety (M = 2.83). Our results showed that Clusters 3 and 4 had significantly greater body dissatisfaction and lower appearance evaluation and body areas satisfaction than Clusters 1 and 2. Cluster 3 also had a significantly higher level of drive for thinness, bulimia, and overweight preoccupation than Clusters 1 and 2. These preliminary findings may mean that the COVID-19 pandemic and attendant anxiety and stress caused by the pandemic are exacerbating symptoms of eating disorders and negative body image, with women with excess weight particularly at risk.

We hypothesised that the higher levels of emotion-related predictors (eating motive in the form of affect regulation and COVID-19-related stress) would be associated with higher emotional overeating, after accounting for the effects of demographic variables (gender and BMI) and other eating motives (visual- and attitude-related predictors: liking, pleasure, visual appeal; body- and health-related predictors: need and hunger, health, weight control). Participants (N = 868; M_age = 33.53 years, SD = 11.98) completed: the Eating Motivation Survey, the Emotional Overeating Questionnaire, a COVID-19-related stress measure and a socio-demographic survey. The final step of the regression with emotional overeating was significant; affect regulation and COVID-19-related stress were significantly related to emotional overeating (ΔF p < 0.001, Adj. ΔR² = 0.13). During the COVID-19 pandemic, eating can, on the one hand, help to cope with the current difficult situation and the negative emotions associated with it; on the other hand, frequent use of this tendency can lead to rigid regulation of affect and use of this mechanism as the dominant mechanism. Therefore, limited social contact, related disruptions in daily activities and stress resulting from COVID-19 should generate appropriate interventions, not necessarily focusing only on emotional eating, but also on the resources of the individual. It is worth encouraging specialists to implement alternative methods of contact with their patients, e.g., online.

Children’s food preferences are closely related to their parents’ food preferences and knowledge of food is linked to what their parents share with them. Parents, however, are not the only people who model such behavior. Paradoxically, the ubiquitous technological development can also pose a huge threat. In developed countries, 94% of teenagers use social media platforms such as: Instagram, Snapchat, Facebook, or TikTok, and this also applies to children. It can therefore be argued that parents’ nutritional preferences and behavior are related to the same behaviors of children and there is an extensive literature on this subject. It is therefore important to check how other factors – new technology (and social media in particular) – can influence changes in this area. A literature search was conducted in the following databases: Google Scholar, PubMed, EBSCO in December 2021. After applying all the filters and verification of relevance in terms of the research on the topic of interest to us, 4 articles related to research on body image and social media and 4 articles related to research on food choices and social media among children and adolescents were obtained. The conducted analysis showed that various studies so far indicate that social media can have a very strong influence on the development of eating patterns and body image in children and adolescents, which in turn may be one of the risk factors for developing obesity when promoted behaviors are not associated with a healthy lifestyle. It is also worth pointing out that social media can be used as a resource in the prevention and treatment of obesity. A closer look at this topic seems to be particularly important due to the fact that, among adults, social media is not only a very important source of information about lifestyle, but also a source of social support when people attempting to lose weight. Therefore, by increasing preventive activity in social media and using modern solutions related to social media (including the use of hashtag signs), we can have a greater impact on the health awareness of children and adolescents around the world.

Since many aspects of functioning can affect body image, the aim of our study was to assess whether the relationship between body image-related negative emotions or depression and body dissatisfaction was moderated by body image-related quality of life and to compare these analyses among participants with various body mass index during COVID-19. One hundred and thirty-one adults participated in the study. Measurement tools included the Body Image Quality of Life Inventory, the short form of the Situational Inventory of Body-Image Dysphoria, the Beck Depression Inventory-II and the Contour Drawing Scale. The effects of body image-related negative emotions or depression on body dissatisfaction is moderated by body image-related quality of life, but only among obese participants. Treatment of obese patients should focus on improving quality of life related to body image, while managing negative emotions and body dissatisfaction.

Intellectual disability is associated with increased risk for childhood obesity, and the factors most often associated with this risk are incorrect eating behavior and insufficient amount and intensity of physical activity. As is well known, there area whole range of factors determining lifestyle, but many currently available reports in this field refer to the functioning of children without a diagnosis of intellectual disability, and, as we know, due to numerous individual and environmental barriers, children with ID may function differently in this context than their peers. Therefore, we examined the relationships between the selected variables and divided them into two models: (1) first regression model: child’s willingness to engage in physical activity (dependent variable), child’s physical limitations related to disabilities and/or comorbidities, child’s independence, parents’ willingness to engage in physical activity, child’s body dissatisfaction (independent variables/predictors); (2) second regression model: child’s emotional eating (dependent variable), child’s coping with emotions, parents’ attitudes, beliefs, and practices about child feeding (restriction and pressure to eat), parents’ emotional eating, parents’ happiness (independent variables/predictors). A group of 503 parents (of children and adolescents with mild and moderate intellectual disability) completed: the Contour Drawing Rating Scale, the Child Feeding Questionnaire, the Emotional Overeating Questionnaire, the Scale of Experiencing Happiness, and the supplementary survey. Our results allow partial confirmation of the hypotheses related to both of these models: (1) model I: the relationships between the child’s willingness to engage in physical activity and all predictors are significant, but the direction of the relationship between the dependent variable and one of the predictors—body dissatisfaction—is opposite to the assumed one (negative relationship); (2) model II: the relationships between the child’s emotional eating and almost all predictors are significant, except for the relationship between the dependent variable and pressure to eat. In conclusion, (to the authors’ knowledge) this study is the first to assess dyadic predictors of willingness to engage in physical activity and emotional eating in children and adolescents with mild and moderate intellectual disability. It allows for a better understanding of the attitudes, beliefs, and experiences of children with intellectual disabilities and their parents, which gives the opportunity (taking into account factors from both individuals from the child-parent dyad) to better design strategies to support pro-health behaviors in children and adolescents from this group (which may improve the effectiveness of overweight prevention and obesity). These findings emphasize how important it is to consider the dynamic of the child-parent dyad when considering how parenting contributes to a child’s willingness to engage in physical activity, as well as thatchild’s emotional eating.