Sociotropic cognition and eating disordered attitudes and behavior in young adults

Influence of perceived peer behavior on engagement in self-damaging behaviors during the transition to university

As students transition to university, they experience significant social changes that can affect their behaviors, including self-damaging behaviors like disordered eating, problematic alcohol/drug use, suicidal thoughts, and non-suicidal self-injury (NSSI). Building on prior work, we examined the associations between (1) perceptions of peers' engagement in self-damaging behaviors predicting one's own subsequent engagement in such behaviors (i.e., socialization) and (2) one's own engagement in self-damaging behaviors predicting perceptions of peers' subsequent engagement in such behaviors (i.e., selection). We also examined whether these associations were moderated by the source of influence (close peer/acquaintance) and degree of social disconnection experienced by the student. First-year university students (N = 704) were asked to complete seven monthly surveys. Multilevel models indicated that when students perceived their close peers had engaged in NSSI or suicidal thinking, they had seven times greater odds of future engagement in the same behavior, implying that socialization increases the risk of these behaviors among university students. Perception of acquaintances' NSSI also predicted greater odds of a student's own NSSI the following month. Social disconnection increased the likelihood of matching own behaviors to perceptions of acquaintances' alcohol abuse, highlighting the importance of fostering connections/mentors to reduce self-damaging behaviors on college campuses. Furthermore, when students engaged in alcohol abuse, they had almost four times greater odds of reporting that their acquaintances abused alcohol the following month, emphasizing the importance of the wider social network in alcohol use behaviors.

Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: A systematic review

Depression is the most commonly experienced mental health condition in adults with autism spectrum conditions (ASC). However, it is unclear what tools are currently being used to assess depression in ASC, or whether tools need to be adapted for this group. This systematic review therefore aimed to identify tools used to assess depression in adults with and without ASC, and then evaluate these tools for their appropriateness and measurement properties. Medline, PsychINFO and Web of Knowledge were searched for studies of depression in: (a) adults with ASC, without co‐morbid intellectual disability; and (b) adults from the general population without co‐morbid conditions. Articles examining the measurement properties of these tools were then searched for using a methodological filter in PubMed, and the quality of the evidence was evaluated using the COSMIN checklist. Twelve articles were identified which utilized three tools to assess depression in adults with ASC, but only one article which assessed the measurement properties of one of these tools was identified and thus evaluated. Sixty‐four articles were identified which utilized five tools to assess depression in general population adults, and fourteen articles had assessed the measurement properties of these tools. Overall, two tools were found to be robust in their measurement properties in the general population—the Beck Depression Inventory (BDI‐II), and the patient health questionnaire (PHQ‐9). Crucially only one study was identified from the COSMIN search, which showed weak evidence in support of the measurement properties of the BDI‐II in an ASC sample. Implications for effective measurement of depression in ASC are discussed. Autism Res2018, 11: 738–754. © 2018 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc.

Lay Summary

Depression is the most common mental health problem experienced by adults with autism. However, the current study found very limited evidence regarding how useful tools developed for the general population are for adults with autism. We therefore suggest how these tools could be adapted to more effectively assess depression in adults with autism, and improve these individuals access to mental health assessment and support.

Self-perceived food addiction: Prevalence, predictors, and prognosis

Food addiction is controversial within the scientific community. However many lay people consider themselves addicted to certain foods. We assessed the prevalence and characteristics of self-perceived "food addiction" and its relationship to a diagnostic measure of "clinical food addiction" in two samples: (1) 658 university students, and (2) 614 adults from an international online crowdsourcing platform. Participants indicated whether they considered themselves to be addicted to food, and then completed the Yale Food Addiction Scale, measures of eating behavior, body image, and explicit and internalized weight stigma. Participants in the community sample additionally completed measures of impulsivity, food cravings, binge eating, and depressive symptomatology. Follow-up data were collected from a subset of 305 students (mean follow-up 280 ± 30 days). Self-perceived "food addiction" was prevalent, and was associated with elevated levels of problematic eating behavior, body image concerns, and psychopathology compared with "non-addicts", although individuals who also received a positive "diagnosis" on the Yale Food Addiction Scale experienced the most severe symptoms. A clear continuum was evident for all measures despite no differences in body mass index between the three groups. Multinomial logistic regression analyses indicated that perceived lack of self-control around food was the main factor distinguishing between those who did and did not consider themselves addicted to food, whereas severity of food cravings and depressive symptoms were the main discriminating variables between self-classifiers and those receiving a positive "diagnosis" on the Yale Food Addiction Scale. Self-perceived "food addiction" was moderately stable across time, but did not appear predictive of worsening eating pathology. Self-classification as a "food addict" may be of use in identifying individuals in need of assistance with food misuse, loss-of-control eating, and body image issues.

A systematic review of the existing models of disordered eating: Do they inform the development of effective interventions?

Despite significant advances in the development of prevention and treatment interventions for eating disorders and disordered eating over the last decade, there still remains a pressing need to develop more effective interventions. In line with the 2008 Medical Research Council (MRC) evaluation framework from the United Kingdom for the development and evaluation of complex interventions to improve health, the development of sound theory is a necessary precursor to the development of effective interventions. The aim of the current review was to identify the existing models for disordered eating and to identify those models which have helped inform the development of interventions for disordered eating. In addition, we examine the variables that most commonly appear across these models, in terms of future implications for the development of interventions for disordered eating. While an extensive range of theoretical models for the development of disordered eating were identified (N=54), only ten (18.5%) had progressed beyond mere description and to the development of interventions that have been evaluated. It is recommended that future work examines whether interventions in eating disorders increase in efficacy when developed in line with theoretical considerations, that initiation of new models gives way to further development of existing models, and that there be greater utilisation of intervention studies to inform the development of theory.