The review, led by Anna Preece and colleagues at Bournemouth University with collaborators at the University of Southampton, the University of Exeter and a primary care practice in Poole, systematically searched five major research databases: EBSCO, PubMed, Scopus, Cochrane and Web of Science. Two reviewers independently screened the results, resolving disagreements through discussion, and the team included all published, peer-reviewed studies that examined clinical populations with alcohol use disorder, regardless of study design or country of origin. That broad net captured forty-four studies, spanning observational research and intervention trials, from which four key themes emerged: the prevalence of eating disorder symptomology, the psychological mechanisms underpinning both conditions, treatment engagement and outcomes, and differences across cultural, ethnic and gender lines.

The headline finding is one of sheer frequency. Disordered eating symptomology proved highly prevalent among people in alcohol treatment services, with bulimia nervosa the most frequently reported diagnosis. This is a striking pattern because much of the existing literature on eating and drinking comorbidity has focused on college students or on populations recruited from eating disorder clinics, groups whose experiences differ substantially from those of people actively receiving treatment for alcohol dependence. By concentrating specifically on clinical AUD populations, the review fills a gap that has left clinicians without a clear picture of who in their caseloads may also be struggling with binge eating, restrictive eating or compensatory behaviours.

Why should these two conditions be so intertwined? The review points to a set of shared psychological mechanisms that function as common engines for both behaviours. High levels of negative urgency, the tendency to act impulsively when experiencing intense negative emotions, were identified across studies, alongside emotional dysregulation and low self-esteem. In practical terms, this means that for many individuals, alcohol and food serve parallel functions: both can become tools for numbing, soothing or escaping difficult feelings. A person who drinks to blunt distress may also binge eat for the same reason, or swing between restriction and binging as another way of exerting control or coping with shame. The behaviours look different on the surface, but they may be two expressions of the same underlying vulnerability.

The consequences of this comorbidity are not merely additive; they compound. The review found that individuals with comorbid eating disorders were more likely to leave treatment services early or against medical advice, and that the presence of disordered eating was associated with increases in illness severity, mortality risk and recovery time. Demographic patterns also emerged: people with comorbid eating disorders were more likely to be Caucasian and less likely to be employed, findings that may reflect both differential risk and differential access to care. For treatment services, the message is sobering. A patient who abandons an alcohol programme prematurely may not simply be resisting abstinence; they may be struggling with an unrecognised eating problem that no one has asked about.

That last point leads to one of the review’s most provocative clinical implications: the possibility that abstinence-focused treatment models may inadvertently reinforce restrictive eating. Alcohol treatment is, by design, built around stopping a behaviour entirely. But if food is serving a similar emotional function for a patient, a treatment culture that frames all coping-through-substance as failure could push individuals toward restricting food instead, simply swapping one form of dysregulated consumption for another. The authors argue that this underscores the need for research into holistic, integrated approaches that address the shared mechanisms rather than treating each behaviour as an isolated target. A transdiagnostic model of diagnosis and intervention, one that cuts across diagnostic categories to target emotional dysregulation, impulsivity and self-esteem directly, may offer a more coherent framework than parallel but separate treatment pathways.

The review also raises a significant equity concern regarding gender. Although the evidence showed that disordered eating symptomology and its functional role were broadly similar in men and women, most research to date has focused on women, and gender-specific screening tools remain underdeveloped. Given that men make up the majority of people in alcohol treatment services in many countries, this gap means that men’s disordered eating may be going systematically unrecognised. A man in an alcohol programme who binges or restricts may never be asked about his relationship with food, because both the screening instruments and the research base were built primarily around female presentations of eating disorders. The authors call for research that recruits men and women equitably, so that the evidence base reflects the actual population of people seeking help.

Methodologically, the review is candid about the limitations of what it synthesised. The forty-four included studies varied widely in design, measurement instruments and populations, as reflected in the long list of questionnaires catalogued in the paper, from the Eating Disorder Examination Questionnaire and the Binge Eating Scale to the Difficulties in Emotion Regulation Scale and the Barratt Impulsiveness Scale. This heterogeneity makes it difficult to pool findings or draw precise prevalence estimates, and the field relies heavily on cross-sectional data that cannot establish whether disordered eating precedes alcohol problems, follows them, or emerges from the same vulnerabilities. The authors are explicit that there is a clear research need for adequately powered, longitudinal studies that follow people over time and include both men and women, which would allow researchers to untangle the direction of the relationship and identify when intervention would be most effective.

For clinicians working in alcohol services, the practical recommendation is comparatively simple: consider routinely asking about eating behaviours. Screening for disordered eating at intake, and monitoring it throughout treatment, could identify patients at elevated risk of dropout and relapse before those risks materialise. Because the two conditions share psychological underpinnings, interventions that build emotion regulation skills, address impulsivity and support self-esteem could plausibly benefit both problems simultaneously, though the review stops short of claiming that existing integrated treatments have been proven effective, since that evidence does not yet exist at scale. What the review does establish is that the status quo, in which eating behaviours go unassessed in AUD clinical settings, leaves a measurable and consequential blind spot.

The broader significance of this work lies in how it reframes addiction and eating disorders not as separate silos of psychiatry but as neighbouring expressions of shared vulnerability. As research on transdiagnostic mechanisms matures, the boundaries between diagnostic categories may become less clinically meaningful than the underlying processes that generate them. For the millions of people worldwide receiving treatment for alcohol use disorder, the review’s message is that recovery may depend on asking a question that services have rarely thought to ask: not just how much are you drinking, but how are you eating, and why?

Subject of Research: Comorbidity of disordered eating behaviour and alcohol use disorder in clinical populations

Article Title: Understanding the comorbidity of disordered eating behaviour and alcohol use disorder: a scoping review

Article References: Preece, A., Casey, C., Foote, G., Greville-Harris, M., McDermott, L., Murphy, J., & Sinclair, J. M. A. (2026). Understanding the comorbidity of disordered eating behaviour and alcohol use disorder: a scoping review. Journal of Eating Disorders. https://doi.org/10.1186/s40337-026-01788-3

Image Credits: AI Generated

DOI: 10.1186/s40337-026-01788-3

Keywords: alcohol use disorder, disordered eating, comorbidity, binge eating, bulimia nervosa, emotional dysregulation, impulsivity, scoping review, treatment dropout, transdiagnostic model, gender differences, screening

Substance use disorders represent one of the most formidable public health burdens in the Americas, where they stand as the leading cause of premature death and disability. The scale of the problem is stark: substance use is implicated in a substantial share of deaths among the world’s adult population, and effective treatment remains one of the most powerful tools available for reducing that toll. Yet treatment only works if people stay in it. Dropout is a persistent and corrosive weakness across virtually every model of addiction care, shortening exposure to interventions, undermining therapeutic momentum, and returning patients to the very environments that may have fueled their substance use in the first place. Understanding who drops out, and when, has therefore become a central question for researchers and clinicians alike.

The new research, published in Addiction Science & Clinical Practice, turned to an unusually rich source of evidence: Chile’s national registry of patients receiving publicly funded treatment for substance use disorders between 2010 and 2019. The investigators focused on emerging adults, those aged 18 to 29, a developmental window marked by instability, identity formation, and heightened vulnerability to both substance use and treatment disengagement. From the registry they assembled a retrospective cohort of 23,979 young adults and classified each person’s living arrangement at the moment they entered treatment into three categories: living alone, living with family of origin, or living with a partner and children. The question was deceptively simple. Did the shape of a patient’s household predict how long they stayed in treatment?

Answering it rigorously required sophisticated statistical machinery. People who live alone are not randomly different from those who live with family; they may differ in age, severity of addiction, employment, education, mental health, and a host of other characteristics that independently influence retention. To disentangle these threads, the researchers used inverse probability of treatment weighting, a technique built on multinomial logistic propensity scores that statistically balances the comparison groups on observed baseline differences. Survival analysis methods, including weighted Kaplan–Meier estimation, were then applied to track how the probability of remaining in treatment evolved over time. The team also computed the restricted mean survival time, a measure that captures the average duration of retention within a defined window and offers an intuitive summary of the survival curves that complements traditional hazard-based approaches.

Crucially, the analysis was stratified by treatment setting, separating outpatient programs from inpatient and residential care, because the two environments place very different demands on patients. The results painted a consistent picture. Young adults living with their family of origin or with a partner and children had a higher probability of remaining in treatment than those living alone, and the gap was widest in inpatient programs. At six months, the probability of still being in treatment was 0.54 for those living with family of origin and 0.57 for those living with a partner or children, compared with just 0.41 for those living alone. At twelve months, the pattern held: 0.43 and 0.44 for the cohabiting groups against 0.33 for those living solo. In other words, nearly six in ten socially connected patients were still engaged at the six-month mark in inpatient care, while fewer than half of those living alone remained.

The restricted mean survival time analysis reinforced the message. Among inpatient participants, the one-year RMST reached 0.60 for those living with family of origin and 0.62 for those living with a partner or children, but only 0.49 for those living alone, a retention gap that translates into weeks of additional engagement over the first year of care. Notably, the two cohabiting groups did not differ from each other in the inpatient setting; whether the anchor was parents, siblings, or one’s own partner and children, the protective effect of shared living appeared comparable. Outpatient programs told a subtler story. There, the differences between living arrangements were modest, and the most consistent contrast emerged between those living with family of origin and those living with a partner and children, suggesting that the protective architecture of the household may interact with the intensity and structure of the treatment modality itself.

Why would a shared household buffer against dropout? The authors point to the central role of social bonds. Family members and partners can provide practical scaffolding, transportation to appointments, reminders, financial support, a stable place to sleep, as well as emotional accountability, the diffuse but powerful sense that someone notices when you fail to show up. For emerging adults, whose ties to education, employment, and institutions are often still fragile, these bonds may carry particular weight. Residential and inpatient treatment, which requires a deliberate withdrawal from daily life, may be especially difficult to sustain without a household invested in one’s return and recovery. Conversely, young adults living alone may face treatment environments that inadvertently ask them to be their own support system, a demand that substance use disorders themselves make harder to meet.

The study’s implications reach well beyond Chile. Many national treatment systems, including those in high-income countries, collect detailed clinical data on substance use severity, psychiatric comorbidity, and treatment modality, yet rarely capture living arrangements as a structured variable at intake. This research suggests that a single intake question, who do you live with, could help identify patients at elevated risk of early disengagement and trigger targeted supports, from peer outreach and case management to deliberate family involvement in treatment planning. The findings also resonate with systems and family therapy traditions that view addiction not merely as an individual pathology but as a condition embedded in relational networks. Interventions that strengthen those networks, or that compensate for their absence, may hold untapped value for the youngest and most precarious patients.

Certain caveats deserve emphasis. As a retrospective cohort study, the analysis can establish association but not causation; unmeasured characteristics, such as motivation for recovery, quality of family relationships, or neighborhood context, could partly explain the observed differences. Living arrangements were assessed at treatment entry and may have changed during follow-up. The study also examined public-sector treatment in a single country, and Chile’s specific service configuration may shape how household context interacts with care. Nevertheless, the sheer size of the cohort, the decade-long observation window, and the rigor of the statistical design give the findings unusual credibility for observational research in this field, and Chile’s advanced monitoring infrastructure makes the dataset one of the strongest of its kind in Latin America.

The broader lesson is one that clinicians and policymakers are increasingly being asked to internalize: recovery is not enacted in a vacuum. For young adults, the developmental crucible in which identities, careers, and relationships are forged, the presence of a stable relational anchor may be the difference between a treatment episode that endures and one that dissolves within months. As the authors conclude, effective strategies for substance use disorders must take social support into account, recognizing the potential positive impact of familial and relational bonds during the critical phase of emerging adulthood. In a decade of data from nearly 24,000 patients, the signal is difficult to ignore: the people waiting at home may be among the most powerful, and least expensive, therapeutic assets a treatment system has.

Subject of Research: The association between living arrangements and time to dropout from substance use disorder treatment among emerging adults in Chile.

Article Title: Association between living arrangements and time to drop out in patients between 18 and 29 years of age, under treatment for substance abuse disorders in Chile, 2010–2019

Article References: Association between living arrangements and time to drop out in patients between 18 and 29 years of age, under treatment for substance abuse disorders in Chile, 2010–2019. (n.d.). https://doi.org/10.1186/s13722-026-00721-y

Image Credits: AI Generated

DOI: 10.1186/s13722-026-00721-y

Keywords: substance use disorders, treatment dropout, living arrangements, emerging adults, treatment retention, social support, inpatient treatment, outpatient treatment, Chile, survival analysis, family bonds, public health