Concordance between the diagnostic guidelines for alcohol and cannabis use disorders in the draft ICD-11 and other classification systems: analysis of data from the WHO's World Mental Health Surveys.

BACKGROUND AND AIMS: The World Health Organization's (WHO's) proposed International Classification of Diseases, 11th edition (ICD-11) includes several major revisions to substance use disorder (SUD) diagnoses. It is essential to ensure the consistency of within-subject diagnostic findings throughout countries, languages and cultures. To date, agreement analyses between different SUD diagnostic systems have largely been based in high-income countries and clinical samples rather than general population samples. We aimed to evaluate the prevalence of, and concordance between diagnoses using the ICD-11, The WHO's ICD 10th edition (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders, 4th and 5th editions (DSM-IV, DSM-5); the prevalence of disaggregated ICD-10 and ICD-11 symptoms; and variation in clinical features across diagnostic groups. DESIGN: Cross-sectional household surveys. SETTING: Representative surveys of the general population in 10 countries (Argentina, Australia, Brazil, Colombia, Iraq, Northern Ireland, Poland, Portugal, Romania and Spain) of the World Mental Health Survey Initiative. PARTICIPANTS: Questions about SUDs were asked of 12 182 regular alcohol users and 1788 cannabis users. MEASUREMENTS: Each survey used the World Mental Health Survey Initiative version of the WHO Composite International Diagnostic Interview version 3.0 (WMH-CIDI). FINDINGS: Among regular alcohol users, prevalence (95% confidence interval) of life-time ICD-11 alcohol harmful use and dependence were 21.6% (20.5-22.6%) and 7.0% (6.4-7.7%), respectively. Among cannabis users, 9.3% (7.4-11.1%) met criteria for ICD-11 harmful use and 3.2% (2.3-4.0%) for dependence. For both substances, all comparisons of ICD-11 with ICD-10 and DSM-IV showed excellent concordance (all κ ≥ 0.9). Concordance between ICD-11 and DSM-5 ranged from good (for SUD and comparisons of dependence and severe SUD) to poor (for comparisons of harmful use and mild SUD). Very low endorsement rates were observed for new ICD-11 feature for harmful use ('harm to others'). Minimal variation in clinical features was observed across diagnostic systems. CONCLUSIONS: The World Health Organization's proposed International Classification of Diseases, 11th edition (ICD-11) classifications for substance use disorder diagnoses are highly consistent with the ICD 10th edition and the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV). Concordance between ICD-11 and the DSM 5th edition (DSM-5) varies, due largely to low levels of agreement for the ICD harmful use and DSM-5 mild use disorder. Diagnostic validity of self-reported 'harm to others' is questionable.

Associations between DSM-IV mental disorders and diabetes mellitus: a role for impulse control disorders and depression.

AIMS/HYPOTHESIS: No studies have evaluated whether the frequently observed associations between depression and diabetes could reflect the presence of comorbid psychiatric conditions and their associations with diabetes. We therefore examined the associations between a wide range of pre-existing Diagnostic Statistical Manual, 4th edition (DSM-IV) mental disorders with self-reported diagnosis of diabetes. METHODS: We performed a series of cross-sectional face-to-face household surveys of community-dwelling adults (n = 52,095) in 19 countries. The World Health Organization Composite International Diagnostic Interview retrospectively assessed lifetime prevalence and age at onset of 16 DSM-IV mental disorders. Diabetes was indicated by self-report of physician's diagnosis together with its timing. We analysed the associations between all mental disorders and diabetes, without and with comorbidity adjustment. RESULTS: We identified 2,580 cases of adult-onset diabetes mellitus (21 years +). Although all 16 DSM-IV disorders were associated with diabetes diagnosis in bivariate models, only depression (OR 1.3; 95% CI 1.1, 1.5), intermittent explosive disorder (OR 1.6; 95% CI 1.1, 2.1), binge eating disorder (OR 2.6; 95% CI 1.7, 4.0) and bulimia nervosa (OR 2.1; 95% CI 1.3, 3.4) remained after comorbidity adjustment. CONCLUSIONS/INTERPRETATION: Depression and impulse control disorders (eating disorders in particular) were significantly associated with diabetes diagnosis after comorbidity adjustment. These findings support the focus on depression as having a role in diabetes onset, but suggest that this focus may be extended towards impulse control disorders. Acknowledging the comorbidity of mental disorders is important in determining the associations between mental disorders and subsequent diabetes.

The prevalence and correlates of binge eating disorder in the World Health Organization World Mental Health Surveys.

BACKGROUND: Little population-based data exist outside the United States on the epidemiology of binge eating disorder (BED). Cross-national BED data are presented here and compared with bulimia nervosa (BN) data in the World Health Organization (WHO) World Mental Health Surveys. METHODS: Community surveys with 24,124 respondents (ages 18+) across 14 mostly upper-middle and high-income countries assessed lifetime and 12-month DSM-IV mental disorders with the WHO Composite International Diagnostic Interview. Physical disorders were assessed with a chronic conditions checklist. RESULTS: Country-specific lifetime prevalence estimates are consistently (median; interquartile range) higher for BED (1.4%; .8-1.9%) than BN (.8%; .4-1.0%). Median age of onset is in the late teens to early 20s for both disorders but slightly younger for BN. Persistence is slightly higher for BN (6.5 years; 2.2-15.4) than BED (4.3 years; 1.0-11.7). Lifetime risk of both disorders is elevated for women and recent cohorts. Retrospective reports suggest that comorbid DSM-IV disorders predict subsequent onset of BN somewhat more strongly than BED and that BN predicts subsequent comorbid disorders somewhat more strongly than does BED. Significant comorbidities with physical conditions are due almost entirely to BN and to a somewhat lesser degree BED predicting subsequent onset of these conditions. Role impairments are similar for BN and BED. Fewer than half of lifetime BN or BED cases receive treatment. CONCLUSIONS: Binge eating disorder represents a public health problem at least equal to BN. Low treatment rates highlight the clinical importance of questioning patients about eating problems even when not included among presenting complaints.