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Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling.

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Title:	Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling.
Authors:	Stankov, Ivana (AUTHOR), Yang, Yong (AUTHOR), Langellier, Brent A. (AUTHOR), Purtle, Jonathan (AUTHOR), Nelson, Katherine L. (AUTHOR), Diez Roux, Ana V. (AUTHOR)
Source:	Social Psychiatry & Psychiatric Epidemiology. Oct2019, Vol. 54 Issue 10, p1243-1253. 11p.
Subjects:	Older people, Alcohol, Social belonging, Coevolution
Geographic Terms:	Los Angeles (Calif.)
Abstract:	Purpose: To: (1) explore how multi-level factors impact the longitudinal prevalence of depression and alcohol misuse among urban older adults (≥ 65 years), and (2) simulate the impact of alcohol taxation policies and targeted interventions that increase social connectedness among excessive drinkers, socially isolated and depressed older adults; both alone and in combination.Methods: An agent-based model was developed to explore the temporal co-evolution of depression and alcohol misuse prevalence among older adults nested in a spatial network. The model was based on Los Angeles and calibrated longitudinally using data from the Multi-Ethnic Study of Atherosclerosis.Results: Interventions with a social component targeting depressed and socially isolated older adults appeared more effective in curbing depression prevalence than those focused on excessive drinkers. Targeting had similar impacts on alcohol misuse, though the effects were marginal compared to those on depression. Alcohol taxation alone had little impact on either depression or alcohol misuse trajectories.Conclusions: Interventions that improve social connectedness may reduce the prevalence of depression among older adults. Targeting considerations could play an important role in determining the success of such efforts. [ABSTRACT FROM AUTHOR]
	Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Psychology and Behavioral Sciences Collection
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