The key role of specific DSM-5 diagnostic criteria in the early development of alcohol use disorder: Findings from the RADAR prospective cohort study.

BACKGROUND: Prevention and early intervention of alcohol use disorder (AUD) is a public health priority, yet there are gaps in our understanding of how AUD emerges, which symptoms of AUD come first, and whether there are modifiable risk factors that forecast the development of the disorder. This study investigated potential early-warning-sign symptoms for the development of AUD. METHODS: Data were from the RADAR study, a prospective cohort study of contemporary emerging adults across Australia (n = 565, mean age = 18.9, range = 18-21 at baseline, 48% female). Participants were interviewed five times across a 2.5-year period. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) AUD criteria and diagnoses were assessed by clinical psychologists using the Structured Clinical Interview for DSM-IV (SCID-IV), modified to cover DSM-5 criteria. Hazard analyses modeled the time from first alcoholic drink to the emergence of any AUD criteria and determined which first-emergent AUD criteria were associated with a faster transition to disorder. RESULTS: By the final time point, 54.8% of the sample had experienced at least one DSM-5 AUD criterion and 26.1% met criteria for DSM-5 AUD. The median time from first AUD criterion to a diagnosis of AUD was 4 years. Social problems from drinking (hazard ratio [HR] = 3.24, CI95 = 2.14, 4.92, p < 0.001), major role (HR = 2.53, CI95 = 1.58, 4.06, p < 0.001), and drinking larger amounts/for longer than intended (HR = 2.04, CI95 = 1.20, 3.46, p = 0.008) were first-onset criteria associated with a faster transition to AUD. CONCLUSION: In the context of a prospective general population cohort study of the temporal development of AUD, alcohol-related social problems, major role problems, and using more or for longer than intended are key risk factors that may be targeted for early intervention.

Understanding the research capacity of alcohol and other drugs services in New South Wales, Australia.

INTRODUCTION: Enhancing health system research capacity can support improved quality care. This study assessed the research capacity of public local health district (LHD) and non-government organisation (NGO) alcohol and other drug (AOD) services, at the organisational, team and individual level. Research barriers and motivators were also examined. METHODS: Staff from LHD and NGO AOD treatment services in New South Wales completed an online survey using the Research Capacity and Culture (RCC) tool. Overall median research capacity scores are presented for the RCC subscales (organisational, team and individual). Comparisons were conducted by service type (LHD/NGO), geographical location (metropolitan/rural) and affiliation with a research network (yes/no). Qualitative questions explored barriers and motivators to research at individual and team levels. RESULTS: Of 242 participants, 55% were LHD-based and 45% NGO-based. Overall RCC scores indicated moderate research capacity at all levels. Organisational capacity (Med = 6.50, interquartile range [IQR] = 3.50) scored significantly higher than the team (Med = 5.00, IQR = 6.00) and individual level (Med = 5.00, IQR = 4.25). No differences in RCC scores existed between NGOs and LHDs. Metropolitan AOD services scored higher research capacity at the organisational level (Med = 7.00, IQR = 3.00) than rural services (Med = 5.00, IQR = 5.00). LHDs affiliated with a research network scored significantly higher at the organisational, team and individual level than non-affiliated LHD services. Key research barriers were inadequate time and funding. Motivators included skill development and problem-identification requiring change. DISCUSSIONS AND CONCLUSIONS: AOD services in New South Wales have moderate research capacity. Identified barriers and motivators can be used to target responses that enhance capacity and improve treatment outcomes.

Definition matters: assessment of tolerance to the effects of alcohol in a prospective cohort study of emerging adults.

BACKGROUND AND AIMS: Tolerance to the effects of alcohol is an important element in the diagnosis of alcohol use disorders (AUD); however, there is ongoing debate about its utility in the diagnosis AUD in adolescents and young adults. This study aimed to refine the assessment of tolerance in young adults by testing different definitions of tolerance and their associations with longitudinal AUD outcomes. DESIGN: Prospective cohort study. SETTINGS: Australia. PARTICIPANTS: A contemporary cohort of emerging adults across Australia (n = 565, mean age = 18.9, range = 18-21 at baseline). MEASUREMENTS: Clinician-administered Structured Clinical Interview for DSM-IV Research Version (SCID-IV-RV) assessed for AUD criteria across five interviews, at 6-month intervals over 2.5 years. Tolerance definitions were operationalized using survey-type response (yes/no), clinician judgement (SCID-IV-RV), different initial drinking quantity and percentage increase thresholds and average heavy consumption metrics. AUD persistence was operationalized by the number of times AUD was present across the 2.5-year study period (n = 491), and new-onset AUD was operationalized as any new incidence of AUD during the follow-up period (n = 461). FINDINGS: The (i) SCID-IV-RV clinician judgement [odds ratio (OR) = 2.50, P = 0.005], (ii) an initial drinking quantity threshold of four to five drinks and 50% minimum increase (OR = 2.48, P = 0.007) and (iii) 50% increase only (OR = 2.40, P = 0.005) were the tolerance definitions more strongly associated with any new onset of AUD throughout the four follow-up time-points than other definitions. However, these definitions were not associated with persistent AUD (Ps > 0.05). Average heavy consumption definitions of tolerance were most strongly associated with persistent AUD (OR = 6.66, P = 0.001; OR = 4.65, P = 0.004) but not associated with new-onset AUD (Ps > 0.05). CONCLUSIONS: Initial drink and percentage change thresholds appear to improve the efficacy of change-based tolerance as an indicator for new-onset alcohol use disorder diagnosis in self-report surveys of young adults. When predicting persistent alcohol use disorder, average heavy consumption-based indicators appear to be a better way to measure tolerance than self-reported change-based definitions.

DSM-5 and ICD-11 alcohol use disorder criteria in young adult regular drinkers: Lifetime prevalence and age of onset.

BACKGROUND: Alcohol Use Disorder (AUD) is a significant contributor to global disease burden. AUD has a relatively early onset during young adulthood (Teesson et al., 2010). However, compared to AUD in adults, we have relatively little understanding of AUD in adolescents and emerging adults. METHODS: The RADAR study is a prospective cohort study designed to investigate the emergence of AUD in community-dwelling adolescents and emerging adults across Australia (age range = 18-21 at baseline). At 6 monthly intervals over 2.5 years, participants were interviewed regarding alcohol consumption and alcohol use disorder criteria by clinical psychologists using the SCID-IV-RV. This paper reports the baseline findings of the RADAR cohort. RESULTS: Proportions of lifetime criteria endorsement among regular drinkers varied considerably. Tolerance was the most endorsed criterion (50.3%), followed by Social Problems (10.4%) and Larger/Longer (9.0%). The median age of onset for most individual AUD criteria was 18 years of age. 18.4% of our cohort met DSM-5 AUD diagnosis in their lifetime to date, and 16.8% met ICD-11 dependence. When removing Tolerance from the AUD criteria, DSM-5 AUD lifetime prevalence reduced to 11.0%, and ICD-11 AUD lifetime prevalence fell to 7.1% in our cohort. CONCLUSIONS: Variable rates of criteria endorsement likely reflect both true differences in the experience of AUD criteria and methodological challenges in the assessment of AUD in an emerging adult age group. High rates of tolerance to the effects of alcohol, and relatively low rates of drinking larger/longer than intended are discussed considering methodological challenges in assessing these criteria in young adults.

RADAR study: protocol for an observational cohort study to identify early warning signals on the pathways to alcohol use disorder.

INTRODUCTION: Harmful alcohol consumption, particularly alcohol use disorder (AUD), is a worldwide health priority, contributing substantially to global morbidity and mortality. The peak age of onset of AUD is 18-24, thus a deeper understanding of the young adult experience is vital if we are to identify modifiable risk factors and intervene early in the developmental course of this disabling disorder. Critical unanswered questions include: How soon after drinking initiation do AUD symptoms begin to emerge? Which symptoms come first? Do the symptoms unfold in a predictable pattern? In what ways do the emerging symptoms interact with individual, peer, family and environmental risk factors to impact on the transition to disorder? METHODS AND ANALYSIS: The proposed RADAR study will examine the prospective development of AUD symptoms over the young adulthood (18-24) years. We will capitalise on an existing cohort of 1911 community-based adolescents who were recruited at age 13 and have completed a baseline and five annual follow-up assessments as part of an observational cohort study. We will interview these adolescents every 6 months between the ages of 19 and 23 to derive monthly histories of both alcohol use and AUD symptomatology, along with a comprehensive battery of risk and protective factor scales hypothesised to predict the emergence and course of AUD. The results of this study will inform the natural history of AUD and will be used to identify specific targets for prevention and early intervention of AUD. ETHICS AND DISSEMINATION: Ethical approval has already been granted for the study (UNSW HREC 10144). We will disseminate the results of the study through published manuscripts, conferences and seminar presentations. Data used in published manuscripts will be made available through a suitable online repository (eg, Dryad-datadryad.org).