Background: The transition from late adolescence to early adulthood (16-20 years) represents a time of exploration and self-discovery for many young people. As such, it is often associated with experimentation in substance use. Vocational students in particular report high substance use. Thus, the aim of this study is to examine patterns and trajectories of their substance use behavior.
Methods: On two occasions (interval 18 months), we investigated 5214 students (M=19.39 years; 54% male) from 49 vocational schools in seven German federal states. We identified classes of substance use and trajectories via latent transition analysis, controlling for gender, age, and socio-economic status. Additionally, we investigated work-related (job demands/stress/satisfaction) and psychopathological (depressive symptoms) predictors of substance use via multinomial regressions.
Results: We found three latent stages of substance use: low use (baseline: 43%/follow-up: 44%), mainly alcohol use (50%/45%), and polysubstance use (7%/11%). Over time, 10% of alcohol users at baseline transitioned to polysubstance use at follow-up, while there were smaller transition rates (2-9%) between the other stages. Compared to low use, polysubstance use at follow-up was predicted by high job stress (aOR=1.45, 1.07-1.96) at baseline.
Conclusions: High alcohol use is associated with bidirectional transitions in young adults. Hence, future research needs to identify mechanisms of change to identify protective factors. Regarding vocational practice, early stress management seems to be a viable path to prevent polysubstance use in vocational students.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.addbeh.2016.02.027 | DOI Listing |
J Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
Neural Netw
January 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Padova, Italy. Electronic address:
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
Department of Mechanical and Aerospace Engineering, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, 278-8510, Chiba, Japan. Electronic address:
Hypothesis: Coherent structures by low-Stokes-number particles are induced within a closed flow, in which ordered flow regions known as Kolmogorov-Arnold-Moser (KAM) tori emerge. A variety of structures with different spatial characteristics has been predicted by varying the Stokes number, whereas the coexistence of structures in flow suspending various types of particles has not been hitherto demonstrated.
Experiments: Half-zone liquid bridges of O () are prepared as a closed system to induce thermocapillary-driven time-dependent flow under normal gravity conditions.
J Neurosci Res
January 2025
Department of Psychology, University of Regensburg, Regensburg, Germany.
Anxiety and depression disorders show high prevalence rates, and stress is a significant risk factor for both. However, studies investigating the interplay between anxiety, depression, and stress regulation in the brain are scarce. The present manuscript included 124 law students from the LawSTRESS project.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Computational Sciences, School of Basic Sciences, Central University of Punjab, Bathinda 151401, India.
The effect of confinement on the tetrahedral ordering of liquid water plays a vital role in controlling their microscopic structure and dynamics as well as their spectroscopic properties. In this article, we have performed the classical molecular dynamics simulations of four different CTAB/water/chloroform reverse micelles with varied water content to study how the tetrahedral ordering of nanoscale water inside reverse micellar confinement influences the microscopic dynamics and the structural relaxation of water···water hydrogen bonds and its impact on the low-frequency intermolecular vibrational bands. We have noticed from the results obtained from simulated trajectories the lowering trends of tetrahedral ordering of water pools in reverse micellar confinements as we move from bulk to confined and strictly confined environments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!