A Network Analysis of Negative Affect and Risky Alcohol Use.
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| Title: | A Network Analysis of Negative Affect and Risky Alcohol Use. |
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| Authors: | Jo, Woogwan (AUTHOR) |
| Source: | Substance Use & Misuse. 2026, Vol. 61 Issue 8, p1239-1249. 11p. |
| Subjects: | Alcoholism risk factors, Risk assessment, Statistical correlation, Risk-taking behavior, Sadness, Center for Epidemiologic Studies Depression Scale, Prediction models, Alexithymia, Functional status, Emotions, Descriptive statistics, Alcohol-induced disorders, Social status, Psychological tests, Confidence intervals, Nonparametric statistics, Disease complications |
| Geographic Terms: | South Korea |
| Abstract: | Background: Negative affect is a well-established risk factor for problematic drinking, but little is known about how specific emotional and behavioral symptoms interact. Network analysis provides a framework to examine these symptom-level connections. Objectives: This study explored (1) the network of negative affect symptoms, (2) the network of risky alcohol use behaviors, and (3) the integrated network linking the two domains. Methods: Data came from 13,250 adults in the 19th wave of the Korean Welfare Panel Study. Seven negative affect and seven risky drinking items were analyzed using a Gaussian Graphical Model with graphical lasso regularization. Centrality indices identified core nodes. Results: Negative affect items formed a dense cluster, with "felt that people disliked me" and "felt sad" emerging as central. Risky alcohol use behaviors also clustered tightly, with "failure to fulfill obligations due to drinking" most central. In the integrated network, direct links were limited, but key bridges connected sadness with drinking-related regret, and perceived difficulty with alcohol-related harm. Conclusions: Findings highlight social rejection, sadness, and functional impairment as central elements in emotion–alcohol interactions. Although domains were largely distinct, bridging nodes suggest potential intervention targets. Emotion-focused strategies may help reduce risky drinking. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Background: Negative affect is a well-established risk factor for problematic drinking, but little is known about how specific emotional and behavioral symptoms interact. Network analysis provides a framework to examine these symptom-level connections. Objectives: This study explored (1) the network of negative affect symptoms, (2) the network of risky alcohol use behaviors, and (3) the integrated network linking the two domains. Methods: Data came from 13,250 adults in the 19th wave of the Korean Welfare Panel Study. Seven negative affect and seven risky drinking items were analyzed using a Gaussian Graphical Model with graphical lasso regularization. Centrality indices identified core nodes. Results: Negative affect items formed a dense cluster, with "felt that people disliked me" and "felt sad" emerging as central. Risky alcohol use behaviors also clustered tightly, with "failure to fulfill obligations due to drinking" most central. In the integrated network, direct links were limited, but key bridges connected sadness with drinking-related regret, and perceived difficulty with alcohol-related harm. Conclusions: Findings highlight social rejection, sadness, and functional impairment as central elements in emotion–alcohol interactions. Although domains were largely distinct, bridging nodes suggest potential intervention targets. Emotion-focused strategies may help reduce risky drinking. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10826084 |
| DOI: | 10.1080/10826084.2025.2601833 |
