Open AccessRisk and Protective Factors for Alcohol Use Disorders Across the Lifespan
Author(s) -
Friederike Deeken,
Tobias Banaschewski,
Ulrike Kluge,
Michael A. Rapp
Publication year - 2020
Publication title -
current addiction reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.988
H-Index - 26
ISSN - 2196-2952
DOI - 10.1007/s40429-020-00313-z
Subject(s) - affect (linguistics) , psychology , stressor , psychosocial , personality , cognition , craving , developmental psychology , big five personality traits , alcohol consumption , alcohol , clinical psychology , addiction , social psychology , psychiatry , biochemistry , chemistry , communication
Purpose of Review Losing and regaining control over alcohol intake varies as a function of individual-level predictors across the lifespan. Specifically, the interplay of protective and risk factors for losing and regaining control, particularly in real-life settings, is thus far poorly understood. Individual differences in cognition, affect, emotion regulation, social factors, and personality traits, together with individual differences in brain structure and function, and biological markers of stress exposure may have different effects on alcohol consumption in different age groups. We will review current evidence for age-specific effects for losing and regaining control over alcohol intake and propose a framework for investigation across age groups. Recent Findings We find evidence for differences in relative impact of psychosocial predictors of alcohol consumption as a function of age that varies by gender. There is theoretical reason to assume that predictors vary in the time course of their taking effect: While e.g., early trauma and personality traits may be conceptualized as more distant antecedents of alcohol consumption, cognition, affect and emotion regulation can be conceptualized as co-correlates, where variation over periods of months may go along with changes in alcohol consumption. At the same time, craving, current stressors, and priming events may serve as short-term or immediate causes of alcohol consumption. Summary We propose a combination of longitudinal age cohorts to (i) identify individual-level differences (using latent growth curve models) and profiles (using latent growth mixture models) of the psychosocial and biological variables of interest that predict regaining or losing control, and ambulatory assessments every 2 days, in order to (ii) investigate effects of triggers and risk factors on current alcohol consumption. This approach will allow us to characterize age-related differences in the interplay between these factors in real-life settings.