Addressing the gap of early intervention for eating disorders in primary health care.

AIM: Only one in four individuals with eating disorders (EDs) seek help, with many barriers to treatment-seeking present. Placing an early intervention model in primary mental health care settings is one approach to reducing these barriers. To date, only one model (emerge-ED) has been evaluated in the literature. METHODS: We aimed to replicate findings from the initial emerge-ED evaluation. We report on treatment outcomes in a new cohort and their views on barriers to treatment-seeking. We then examine how this early intervention model in primary health care has evolved to overcome the barriers to treatment delivery cited by health professionals in the initial evaluation. RESULTS: Eighty participants commenced treatment between July 2020 and March 2022 and completed a mean of 8.98 sessions, 70 (87.5%) completed >1 sessional measure on ED cognitions and behaviours, but only 31% (n = 24) completed lengthier assessments. Findings replicated initial emerge-ED outcomes, with small to moderate effect size decreases in the ED sessional measure at 70 days since treatment commencement for cognitions (d = .63) and ED behaviours (d = .09., .69). The most cited barrier by participants was "belief that my problem is not bad enough", reflective of denial of illness. Lastly, to overcome barriers to treatment delivery clinicians had to deviate from treatment protocols and work collaboratively with other healthcare providers. CONCLUSIONS: Our findings replicated the initial emerge-ED evaluation and highlight the importance of considering primary health care settings as an essential site in delivering early intervention services for EDs.

Evaluating evidence-based interventions in low socio-economic-status populations.

OBJECTIVE: Socio-economic-status (SES) has rarely been reported or investigated in eating disorders (EDs) research. This Research Forum considers, from various perspectives, how SES may impact on evaluating evidence-based treatments for EDs. METHOD: We first reviewed previous literature that informs how SES impacts prevalence of EDs, help-seeking, and treatment outcome. We then present findings from a case series effectiveness study of an early intervention program in low SES areas for EDs and discuss implications about the impact of SES on the effectiveness of evidence-based interventions. Finally, we examine barriers to conducting rigorous evaluations in this population and discuss directions for future treatment outcome research. RESULTS: Evidence suggests a higher level of disordered eating but less help seeking in lower SES groups. In our case series, 96 participants started treatment and completed a mean of 13.85 sessions, 84 (87.5%) completed a mean of 6.40 sessional measures on ED cognitions and behaviors, but only 31% completed more extensive pre-treatment and post-treatment measures. The completer effect size decrease for the global Eating Disorder Examination-Questionnaire score was 2.05 (95% CI: 1.43, 2.68) commensurate with other effectiveness studies in mixed SES groups. The high rates of missing data related to more extensive assessment present a barrier to evaluating evidence-based treatments in this population. DISCUSSION: Evidence from the present study revealed individuals from low SES can achieve similar treatment outcomes to other populations when receiving evidence-based ED treatment. Future studies should investigate a range of approaches to maximizing data collection, including use of shorter sessional measures.

Treatment of co-occurring food avoidance and alcohol use disorder in an adult: Possible avoidant restrictive food intake disorder?

OBJECTIVE: This case report details the presentation and treatment of a 42-year-old male self-presenting for treatment who reported having been a restrictive eater since childhood; since adolescence he had failed to meet appropriate nutritional intake with one meal at night followed by around 10-20 standard alcoholic drinks. METHOD: Ten sessions of cognitive behavioral therapy were offered emphasizing the need to adhere to regular eating patterns in conjunction with significant reduction of binge drinking. RESULTS: At the end of treatment, and 1-month follow-up, improvements in nutritional intake and alcohol intake were observed, accompanied by improvements in depression, anxiety, and stress. DISCUSSION: However, excessive alcohol intake had reoccurred at 3-month follow-up, accompanied by increases in negative affect and impairment due to eating, indicating that longer-term therapy may be required for this group of people.

The longitudinal association between anxiety and Internet addiction in adolescence: The moderating effect of classroom extraversion.

Background and aims The risk effect of anxiety on addictive behaviors, including Internet addiction (IA), has repeatedly been highlighted in the international literature. However, there is a lack of longitudinal studies examining this association in relation to proximal context effects, particularly in adolescence. Such findings would shed light on potential age- and proximal context-related variations in the anxiety-IA association that could better inform IA prevention and intervention initiatives. Methods In this study, 648 adolescents, embedded in 34 classrooms, were assessed at the age of 16 and again at the age of 18 to examine the effect of anxiety on IA behaviors in relation to the average level of classroom extraversion. IA was assessed with the Internet Addiction Test (Young, 1998), anxiety with the relevant subscale of the Symptom Checklist 90 - Revised (Derogatis & Savitz, 1999) and classroom extraversion with the synonymous subscale of the Five Factor Questionnaire (Asendorpf & van Aken, 2003). A three-level hierarchical linear model was calculated. Results The present findings demonstrated that: (a) higher levels of anxiety were significantly associated with higher IA behaviors, (b) the strength of this association did not vary over time (between 16 and 18 years old), and (c) however, it tended to weaken within classrooms higher in extraversion. Discussion This study indicated that the contribution of individual IA risk factors might differently unfold within different contexts.