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Erschienen in: Social Psychiatry and Psychiatric Epidemiology 10/2019

27.03.2019 | Original Paper

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

verfasst von: Ivana Stankov, Yong Yang, Brent A. Langellier, Jonathan Purtle, Katherine L. Nelson, Ana V. Diez Roux

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 10/2019

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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.
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Metadaten
Titel
Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling
verfasst von
Ivana Stankov
Yong Yang
Brent A. Langellier
Jonathan Purtle
Katherine L. Nelson
Ana V. Diez Roux
Publikationsdatum
27.03.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Social Psychiatry and Psychiatric Epidemiology / Ausgabe 10/2019
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-019-01701-1

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