Suchergebnisse

<b><i>Background/Aims:</i></b> This study examines whether it is harmful that subjects with an alcohol use disorder (AUD) in the general population rarely seek treatment. <b><i>Methods:</i></b> Baseline and 3-year follow-up data from the Netherlands Mental Health Survey and Incidence Study-2 were used. Treatment utilization covered a 4-year period. The Composite International Diagnostic Interview 3.0 assessed AUD and other psychiatric disorders. <b><i>Results:</i></b> Of 154 subjects with baseline 12-month DSM-5 AUD, 35.4% used only general treatment (GenTx) for mental problems or alcohol/drugs problems; 10.3% used specialized AUD treatment (AUDTx); and 54.3% used no treatment at all. Of these 3 groups, AUDTx users had the highest severity on AUD characteristics, comorbid psychopathology and mental functioning. Compared to non-treatment (NonTx), GenTx users more often had 12-month emotional disorders at follow-up, but AUD remission rates and functioning were similar. NonTx users functioned similarly at follow-up as people in the general population without lifetime AUD or other psychopathology. <b><i>Conclusion:</i></b> Adequate treatment seeking often occurs in the general population: the most severe AUD subjects use AUDTx, and most NonTx users have a mild AUD and a favorable course. Current findings suggest a smaller treatment gap than previously reported, but still one-quarter of the people with AUD do not seek AUDTx but could benefit from this, as they have a persistent AUD.

Aims: To examine the course and the predictors of the persistence of cannabis dependence. Methods: Through cannabis outlets and chain referral, a prospective enriched community cohort of 207 young adults (aged 18-30) with DSM-IV cannabis dependence at baseline (T0) was formed and followed-up after 1.5 (T1) and 3 (T2) years. The presence of cannabis dependence, cannabis-related problems, functional impairment and treatment was assessed using the Composite International Diagnostic Interview (CIDI 3.0) and the Sheehan Disability Scale (SDS). Predictors of persistence were lifetime cannabis abuse and dependence symptoms, cannabis use characteristics, distant vulnerability factors (e.g. childhood adversity, family history of psychological/substance use problems, impulsivity, mental disorders), and proximal stress factors (recent life events, social support). Results: Four groups were distinguished: persistent dependent (DDD: 28.0%), stable non-persistent (DNN: 40.6%), late non-persistent (DDN: 17.9%) and recurrent dependent (DND: 13.5%). At T2, persisters (DDD) reported significantly more (heavy) cannabis use and cannabis problems than non-persisters (DNN/DDN/DND). Treatment seeking for cannabis-related problems was rare, even among persisters (15.5%). The number (OR = 1.23 (1.03-1.48)) and type ('role impairment' OR = 2.85 (1.11-7.31), 'use despite problems' OR = 2.34 (1.15-4.76)) of lifetime cannabis abuse/dependence symptoms were the only independent predictors of persistence with a total explained variance of 8.8%. Conclusions: Persistence of cannabis dependence in the community is low, difficult to predict, and associated with a negative outcome. The substantial proportion of stable non-persisters suggests that screening and monitoring or low-threshold brief interventions may suffice for many non-treatment-seeking cannabis-dependent people. However, those with many lifetime abuse/dependence symptoms may benefit from more intensive interventions.

Researchers and politicians have regularly expressed their worries about a widening of socioeconomic inequalities in physical and mental health. Debts have been relatively understudied as a specific aspect of socioeconomic disadvantage contributing to poor mental health. This study examines the bidirectional association between debts and common mental disorders (CMDs) in the adult population of the Netherlands. Data were obtained from the second ('baseline') and third (3-year follow-up) wave of the Netherlands Mental Health Survey and Incidence Study-2, a representative cohort of adults. Questions were asked about debts and difficulty in repaying debts in the past 12 months. The answers were combined into one variable: no debts, easy, difficult, and very difficult to pay back debts. Twelve-month CMDs were assessed with the Composite International Diagnostic Interview version 3.0. Increasing levels of difficulty in repaying debts predicted onset of CMD at follow-up in those without 12-month CMD at baseline, and persistence of CMD at follow-up in those with 12-month CMD at baseline. Conversely, CMD was not linked to onset of debts at follow-up in those without 12-month debts at baseline, but was associated with persistence of difficulty to pay back debts at follow-up in those with 12-month debts at baseline. These associations remained significant after adjustment for baseline sociodemographic variables, negative life events and physical health. Health professionals and debt counsellors should pay more attention to patients' debts and clients' mental health respectively in order to refer those with financial or mental health problems to the appropriate services.

<b><i>Introduction:</i></b> Studies investigating latent alcohol use groups and transitions of these groups over time are scarce, while such knowledge could facilitate efficient use of screening and preventive interventions for groups with a high risk of problematic alcohol use. Therefore, the present study examines the characteristics, transitions, and long-term stability of adult alcohol use groups and explores some of the possible predictors of the transitions. <b><i>Methods:</i></b> Data were used from the baseline, 3-, 6-, and 9-year follow-up waves of the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a representative study of Dutch adults aged 18–64 at baseline (<i>N</i> = 6,646; number of data points: 20,574). Alcohol consumption, alcohol use disorder (AUD), and mental disorders were assessed with the Composite International Diagnostic Interview 3.0. Latent Markov Modelling was used to identify latent groups based on high average alcohol consumption (HAAC) <i>and</i> AUD and to determine transition patterns of people between groups over time (stayers vs. movers). <b><i>Results:</i></b> The best fitting model resulted in four latent groups: one nonproblematic group (91%): <i>no HAAC</i>, <i>no AUD</i>; and three problematic alcohol use groups (9%): <i>HAAC</i>, <i>no AUD</i> (5%); <i>no HAAC</i>, <i>often AUD</i> (3%); and <i>HAAC and AUD</i> (1%). <i>HAAC</i>, <i>no AUD</i> was associated with a high mean age (55 years) and low educational level (41%), and <i>no HAAC</i>, <i>often AUD</i> with high proportions of males (78%) and people with high educational level (46%). Eighty-seven percent of all respondents – mostly people with <i>no HAAC</i>, <i>no AUD</i> – stayed in their original group during the whole 9-year period. Among movers, people in a problematic alcohol use group (HAAC and/or AUD) mostly transitioned to another problematic alcohol use group and not to the nonproblematic alcohol use group (<i>no HAAC</i>, <i>no AUD</i>). Explorative analyses suggested that lack of physical activity possibly plays a role in transitions both from and to problematic alcohol use groups over time. <b><i>Conclusion:</i></b> The detection of three problematic alcohol use groups – with transitions mostly between the different problematic alcohol use groups and not to the group without alcohol problems – points to the need to explicitly address both alcohol consumption and alcohol-related problems (AUD criteria) in screening measures and interventions in order not to miss and to adequately treat all problematic alcohol users. Moreover, explorative findings suggest that prevention measures should also include physical activity.

A representative general population sample (n = 7,076) was used to study retrospectively and prospectively the nature of the relationship between co-morbid alcohol dependence and anxiety disorders. Four different models were tested: (1) anxiety disorders increase the risk of alcohol dependence; (2) alcohol dependence increases the risk of anxiety disorders; (3) family history or childhood traumatisation increase the risk of both alcohol dependence and anxiety disorders, and (4) comorbid conditions are a separate psychopathological entity. The data show that alcohol dependence does not precede the onset of anxiety disorders, that anxiety disorders do precede the onset of alcohol dependence, that family history is not very likely to be the third factor explaining the elevated comorbidity, and that in women childhood trauma might be partially responsible for the association between both disorders. The data are inconsistent with regard to comorbidity as a distinct psychopathological entity. These findings are of great importance for treatment planning in patients with alcohol dependence and comorbid anxiety disorders.

BACKGROUND: The World Mental Health Survey Initiative (WMHSI) has advanced our understanding of mental disorders by providing data suitable for analysis across many countries. However, these data have not yet been fully explored from a cross-national lifespan perspective. In particular, there is a shortage of research on the relationship between mood and anxiety disorders and age across countries. In this study we used multigroup methods to model the distribution of 12-month DSM-IV/CIDI mood and anxiety disorders across the adult lifespan in relation to determinants of mental health in 10 European Union (EU) countries. METHOD: Logistic regression was used to model the odds of any mood or any anxiety disorder as a function of age, gender, marital status, urbanicity and employment using a multigroup approach (n = 35500). This allowed for the testing of specific lifespan hypotheses across participating countries. RESULTS: No simple geographical pattern exists with which to describe the relationship between 12-month prevalence of mood and anxiety disorders and age. Of the adults sampled, very few aged ≥ 80 years met DSM-IV diagnostic criteria for these disorders. The associations between these disorders and key sociodemographic variables were relatively homogeneous across countries after adjusting for age. CONCLUSIONS: Further research is required to confirm that there are indeed stages in the lifespan where the reported prevalence of mental disorders is low, such as among younger adults in the East and older adults in the West. This project illustrates the difficulties in conducting research among different age groups simultaneously.