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The risk of relapsing into depression after stopping antidepressants is high, but no established predictors exist. Resting-state functional magnetic resonance imaging (rsfMRI) measures may help predict relapse and identify the mechanisms by which relapses occur. rsfMRI data were acquired from healthy controls and from patients with remitted major depressive disorder on antidepressants. Patients were assessed a second time either before or after discontinuation of the antidepressant, and followed up for six months to assess relapse. A seed-based functional connectivity analysis was conducted focusing on the left subgenual anterior cingulate cortex and left posterior cingulate cortex. Seeds in the amygdala and dorsolateral prefrontal cortex were explored. 44 healthy controls (age: 33.8 (10.5), 73% female) and 84 patients (age: 34.23 (10.8), 80% female) were included in the analysis. 29 patients went on to relapse and 38 remained well. The seed-based analysis showed that discontinuation resulted in an increased functional connectivity between the right dorsolateral prefrontal cortex and the parietal cortex in non-relapsers. In an exploratory analysis, this functional connectivity predicted relapse risk with a balanced accuracy of 0.86. Further seed-based analyses, however, failed to reveal differences in functional connectivity between patients and controls, between relapsers and non-relapsers before discontinuation and changes due to discontinuation independent of relapse. In conclusion, changes in the connectivity between the dorsolateral prefrontal cortex and the posterior default mode network were associated with and predictive of relapse after open-label antidepressant discontinuation. This finding requires replication in a larger dataset. © 2020, The Author(s)., Scientific Reports, 10 (1), ISSN:2045-2322

The risk of relapse after antidepressant medication (ADM) discontinuation is high. Predictors of relapse could guide clinical decision-making, but are yet to be established. We assessed demographic and clinical variables in a longitudinal observational study before antidepressant discontinuation. State-dependent variables were re-assessed either after discontinuation or before discontinuation after a waiting period. Relapse was assessed during 6 months after discontinuation. We applied logistic general linear models in combination with least absolute shrinkage and selection operator and elastic nets to avoid overfitting in order to identify predictors of relapse and estimated their generalisability using cross-validation. The final sample included 104 patients (age: 34.86 (11.1), 77% female) and 57 healthy controls (age: 34.12 (10.6), 70% female). 36% of the patients experienced a relapse. Treatment by a general practitioner increased the risk of relapse. Although within-sample statistical analyses suggested reasonable sensitivity and specificity, out-of-sample prediction of relapse was at chance level. Residual symptoms increased with discontinuation, but did not relate to relapse. Demographic and standard clinical variables appear to carry little predictive power and therefore are of limited use for patients and clinicians in guiding clinical decision-making., Scientific Reports, 12 (1), ISSN:2045-2322

Zusammenfassung. Ziel: Persönliche Beratungen können bei stationären Krankenhauspatienten Alkoholkonsum und Mortalität reduzieren. Sie sind jedoch mit hohen Kosten verbunden, wenn aus Public-Health-Erfordernis viele Menschen einer Bevölkerung erreicht werden müssen. Computerbasierte Interventionen stellen eine Alternative dar. Jedoch ist ihre Wirksamkeit im Vergleich zu persönlichen Beratungen und im Allgemeinkrankenhaus noch unklar. Eine quasi-randomisierte Kontrollgruppenstudie „Die Bedeutung der Vermittlungsform für Alkoholinterventionen bei Allgemeinkrankenhauspatienten: Persönlich vs. Computerisiert“ soll dies untersuchen. Design und Methoden werden beschrieben. Methode: Über 18 Monate sind alle 18- bis 64-jährigen Patienten auf Stationen der Universitätsmedizin Greifswald mittels Alcohol Use Disorder Identification Test (AUDIT) zu screenen. Frauen/Männer mit AUDIT-Consumption ≥ 4/5 und AUDIT

Background Persons not intending to change are an important target population for public health efforts. The aim of this study was to investigate whether subgroups characterized by different trajectories of alcohol use frequency and quantity among persons with unhealthy drinking but no intention to change benefitted differently from a stage tailored intervention. Methods This study was part of a randomized controlled trial among job-seekers. The participants of the intervention group (n = 413) received feedback letters tailored to their motivational stage. The control group (n = 414) received minimal assessment only. Among all participants, 629 (76.1%) did not intend to change alcohol use and constitute the study sample (60.7% men; mean age = 29.7 years, SD = 10.8). 3-, 6-, and 15-month follow-ups were conducted. Growth mixture modeling was applied to identify classes representing the heterogeneity in the development of alcohol use frequency and quantity and the influence of the intervention on different trajectories. Results Four classes were identified: a class of persons who achieved abstinence (2%), a class with low-frequent drinking with declining quantity (35%), a class with high-frequent drinking with low but slightly increasing quantity (30%), and a class with constant heavy episodic drinking (33%). Although non-significant, there was a tendency of different intervention effects for different classes. Conclusions A sample of persons not intending to change unhealthy alcohol use was composed of subgroups characterized by different trajectories of alcohol use quantity and frequency. Trends towards beneficial intervention effects on motivation and drinking outcomes were not significant, possibly due to low power.

Social desirability has been shown to be stable in samples with higher school education. However, little is known about the stability of social desirability in more heterogeneous samples differing in school education. This study aimed to investigate the stability of social desirability and which factors predict interindividual differences in intraindividual change. As part of a randomized controlled trial, 1,243 job seekers with unhealthy alcohol use were systematically recruited at three job agencies. A total of 1,094 individuals (87.8%) participated in at least one of two follow-ups (6 and 15 months after baseline) and constitute this study's sample. The Social Desirability Scale-17 was applied. Two latent change models were conducted: Model 1 tested for interindividual differences in intraindividual change of social desirability between both follow-ups; Model 2 included possible predictors (age, sex, education, current employment status) of interindividual differences in intraindividual change. Model 1 revealed a significant decrease of social desirability over time. Model 2 revealed school education to be the only significant predictor of change. These findings indicate that stability of social desirability may depend on school education. It may not be as stable in individuals with higher school education as in individuals with lower education.

Aims To investigate whether or not a stage tailored intervention is more effective than a non-stage tailored intervention of the same intensity in reducing alcohol use among job-seekers with unhealthy alcohol use, and whether initial motivation to change is a moderator of efficacy. Design A three-group randomized controlled trial with 3-, 6- and 15-month follow-ups. Setting Three job agencies in Germany. Participants A total of 1243 job-seekers with unhealthy alcohol use were randomized to (i) stage tailored intervention based on the transtheoretical model of change (ST), (ii) non-stage tailored intervention based on the theory of planned behaviour (NST) and (iii) assessment only (controls). Participants received feedback letters and manuals at baseline and 3 months later. Measurements Piecewise latent growth models were calculated measuring change in ‘alcohol use’ from baseline to month 3 (active intervention phase) and from months 3 to 15 (post-intervention phase, primary outcome). Motivation to change was included as a 4-point continuous measure. Findings All groups reduced alcohol use from months 0 to 3 (controls: mean = −0.866, NST: mean = −0.883, ST: mean = −0.718, Ps ≤ 0.001). Post-intervention (months 3–15), low-motivated individuals in the ST group showed a greater reduction than those in the control group (β = 0.135, P = 0.039, Cohen's d = 0.42) and in the NST group (β = 0.180, P = 0.009, Cohen's d = 0.55). In contrast, compared to the ST group (β = 0.030, P = 0.361), alcohol use decreased more strongly with higher initial motivation in the NST group (β = −0.118, P = 0.010). Conclusions Among job-seekers with high levels of alcohol consumption, an intervention tailored to motivational ‘stage of change’ was more effective than a non-stage tailored intervention for reducing alcohol use 15 months after baseline assessment in participants with low initial motivation to change.

Objective To investigate sociodemographic-, living situation- and substance-related variables as predictors of current risky alcohol use for both female and male general hospital inpatients. Method The sample of 6050 female and 8282 male general hospital inpatients was recruited in 2002–2004. Using the Alcohol Use Disorder Identification Test-Consumption, they were assigned to four drinking groups: abstinent, moderate use, slightly increased use and notably increased use. Gender-specific predictors of group affiliation were determined using multivariate multinomial logistic regressions. Results In both genders, younger age, rural living environment, the occurrence of lifetime alcohol use disorders (AUDs) and current tobacco smoking were positively associated with risky alcohol use. Higher education was positively associated with slightly and notably increased use for women. Living alone, being divorced/ widowed and being unemployed (relative risk ratios=1.4–1.7) were positively associated with notably increased use for men. In both genders, older age, less education and the occurrence of lifetime AUDs were positively associated with abstinence. Conclusions Higher educated women are likely to report risky alcohol use. Marriage may have a protective effect on level of alcohol use for men only. In addition to the implementation of routine alcohol screening, the examined data may provide cost-effective information that could be used to tailor interventions.

CITATION: Watson, R., et al. 2016. Proceedings of the 13th annual conference of INEBRIA. Addiction Science & Clinical Practice, 11:13, doi:10.1186/s13722-016-0062-9.

Background: High reach of target populations is relevant for public health impact of interventions. Concerning intervention programs requiring multiple contacts, little is known about how many persons may be kept in the intervention program over multiple time points. The aim of this study was to investigate (i) the reach of general hospital inpatients with at-risk alcohol use through screening and brief intervention and (ii) whether their continued intervention participation after hospital discharge differs by in-person vs. computer-based intervention (CO) delivery. Methods: As part of a randomized controlled trial, general hospital inpatients aged 18-64 years were screened for at-risk alcohol use on 13 wards. Participants were allocated to in-person intervention (PE), CO and assessment only. Both interventions were provided on site, and 1 and 3 months after baseline. Results: Ninety-two percent of all eligible inpatients ( n = 6251) completed the screening. Eighty-one percent ( n = 961) of the screening-positives participated in the trial and received their allocated intervention. At months 1 and 3, interventions were delivered to 83 and 79% of the CO participants and to 74 and 64% of the PE participants. The delivery of CO and PE required an average of 5.2 and 7.7 contact attempts per delivered intervention, respectively. Conclusion: General hospital inpatients with at-risk alcohol use were well reached through proactive interventions. COs may result in higher retention rates over 1 and 3 months and may require less contact attempts than PEs. Public health efforts that aim to achieve high intervention retention should consider proactive COs.

When intentions are expressed, e.g., when filling in a health questionnaire, people may have unrealistic beliefs towards behavior change resulting in strong intentions to change. These may fail to correspond to reality when the behavior actually should be performed. Belief incongruence was tested as a possible source of the intention-behavior gap.The study sample consisted of 433 job agency clients with at-risk alcohol use (64% men, mean age=30.6 (SD=11.6) years). Behavioral, normative, and control beliefs, intention, and alcohol use were assessed at baseline and three months later. The influence of belief incongruence on the intention-behavior gap was examined using latent interaction models.The gap between stated intentions and at-risk alcohol use three months later was larger when the according normative beliefs were incongruent (total effect: b=-0.44, p0.05 for persons with congruent beliefs vs. b=-0.06, p0.10 for persons with incongruent beliefs). When controlling for the mediating effect of changes in intentions, the association between belief incongruence and intention-behavior gap was attenuated (direct effect: b=-0.56, p0.01 for persons with congruent beliefs vs. b=-0.28, p0.05 for persons with incongruent beliefs). Neither behavioral belief incongruence nor control belief incongruence was significantly associated with the intention-behavior gap.Normative belief incongruence may contribute to the gap between intentions to adhere to recommended drinking limits and subsequent at-risk alcohol use. Focusing on the reduction of misperceptions about drinking norms could help to increase the proportion of persons who succeed in translating their intentions into behavior.

To examine the patterning of four behavior-related health risk factors (tobacco smoking, risky alcohol drinking, overweight, and physical inactivity) among job-seekers and to investigate socio-demographic and health-related predictors of patterning. The sample of 3,684 female and 4,221 male job-seekers was proactively recruited at three job agencies in northeastern Germany in 2008/09. Participants provided data on socio-demographics, substance use, body mass index, physical activity and self-rated health. Latent class analyses (LCA) and multinomial logistic regression analyses were applied to identify health risk patterns and possible predictors of patterning, respectively. Forty-three percent of the female and 58 % of the male participants had two or more health risk factors. LCA revealed three similar patterns for women and men: Substance use (tobacco smoking, risky drinking), Non-exercising overweight (physical inactivity, overweight/obesity) and Health-conscious (non-smoking, low-risk drinking, under-/normal weight, physical activity). Age, education, marital status, life-time unemployment and self-rated health were significantly associated with patterning in both genders. Our results may help to define target populations for improving health behaviors among job-seekers.

To investigate whether or not a stage tailored intervention is more effective than a non-stage tailored intervention of the same intensity in reducing alcohol use among job-seekers with unhealthy alcohol use, and whether initial motivation to change is a moderator of efficacy.A three-group randomized controlled trial with 3-, 6- and 15-month follow-ups.Three job agencies in Germany.A total of 1243 job-seekers with unhealthy alcohol use were randomized to (i) stage tailored intervention based on the transtheoretical model of change (ST), (ii) non-stage tailored intervention based on the theory of planned behaviour (NST) and (iii) assessment only (controls). Participants received feedback letters and manuals at baseline and 3 months later.Piecewise latent growth models were calculated measuring change in 'alcohol use' from baseline to month 3 (active intervention phase) and from months 3 to 15 (post-intervention phase, primary outcome). Motivation to change was included as a 4-point continuous measure.All groups reduced alcohol use from months 0 to 3 (controls: mean = -0.866, NST: mean = -0.883, ST: mean = -0.718, Ps ≤ 0.001). Post-intervention (months 3-15), low-motivated individuals in the ST group showed a greater reduction than those in the control group (β = 0.135, P = 0.039, Cohen's d = 0.42) and in the NST group (β = 0.180, P = 0.009, Cohen's d = 0.55). In contrast, compared to the ST group (β = 0.030, P = 0.361), alcohol use decreased more strongly with higher initial motivation in the NST group (β = -0.118, P = 0.010).Among job-seekers with high levels of alcohol consumption, an intervention tailored to motivational 'stage of change' was more effective than a non-stage tailored intervention for reducing alcohol use 15 months after baseline assessment in participants with low initial motivation to change.

In the past three decades, two paths of how to understand and support health behavior change have been followed: stage-tailored models and continuum models. Our aim was to investigate the comparative efficacy of a stage-tailored intervention and a non-stage-tailored intervention of the same intensity in reducing alcohol use and alcohol problem severity among job-seekers with unhealthy alcohol use. The interventions were based on the most prominent representative models, the transtheoretical model of behavior change (TTM) and the theory of planned behavior (TPB). A total of 1,243 proactively recruited job-seekers with unhealthy alcohol use (64% male, M=30 years, 76% not motivated to change) were assigned by random to three study groups: (1) individualized stage-tailored feedback letters based on the TTM, (2) individualized non-stage-tailored feedback letters based on the TPB, and (3) assessment only (controls). Both intervention groups received up to two interventions. All groups were followed-up three, six and 15 months after baseline. Piecewise latent growth models were conducted to investigate change in alcohol use and severity from baseline to month 3 and month 3 to 15. Initial motivation was tested as a moderator of intervention efficacy. All groups reduced alcohol use and severity significantly in the short term. In the long term and when including motivation as a covariate, the stage-tailored group produced a significantly greater reduction than the two other groups. Initial motivation was a significant moderator of intervention efficacy. Neither intervention was generally more or less effective than the other. The efficacy of the interventions largely depended upon the initial motivation to change alcohol use: the lower the motivation to change, the more likely the individuals were to benefit from the stage-tailored intervention; and the higher the motivation to change, the more likely the individuals were to benefit from the non-stage-tailored intervention.