Exploring the Impact of Music Preferences on Depressive Symptoms and Meaning in Life: A Network Analysis Approach

This study investigates how preferences for sad or happy music influence the network structures linking depressive symptoms and meaning in life. Analyzing data from 1681 college students, results indicate that individuals who listen to sad music display a denser network structure with stronger connections between depressive symptoms and meaning in life, while those favoring happy music exhibit a more dispersed network with weaker connections. The Sad Music Group showed higher global strength, suggesting a tightly knit network, whereas the Happy Music Group had lower global strength, implying greater flexibility among nodes. These findings highlight distinct network configurations between the two groups, offering insights into the interplay between music engagement and psychological well-being. By identifying key nodes and connectivity, we can develop more targeted therapy interventions. However, it is crucial to consider individual differences and contextual factors that influence how music affects psychological well-being.

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Publication Details

Journal
Behavioral Sciences
Published
2025-09-25
DOI
https://doi.org/10.3390/bs15101311
Primary Topic
Mental Health Research Topics
Type
article
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article

Exploring the Impact of Music Preferences on Depressive Symptoms and Meaning in Life: A Network Analysis Approach

Maoping Zheng, Yuqi Lin, Bo Yang, Qizong Yue
Behavioral Sciences
Mental Health Research Topics
article

Exploring the Impact of Music Preferences on Depressive Symptoms and Meaning in Life: A Network Analysis Approach

Maoping Zheng, Yuqi Lin, Bo Yang, Qizong Yue
article en

Abstract

This study investigates how preferences for sad or happy music influence the network structures linking depressive symptoms and meaning in life. Analyzing data from 1681 college students, results indicate that individuals who listen to sad music display a denser network structure with stronger connections between depressive symptoms and meaning in life, while those favoring happy music exhibit a more dispersed network with weaker connections. The Sad Music Group showed higher global strength, suggesting a tightly knit network, whereas the Happy Music Group had lower global strength, implying greater flexibility among nodes. These findings highlight distinct network configurations between the two groups, offering insights into the interplay between music engagement and psychological well-being. By identifying key nodes and connectivity, we can develop more targeted therapy interventions. However, it is crucial to consider individual differences and contextual factors that influence how music affects psychological well-being.

Behavioral SciencesVol. 15(10)
Southwest University of Political Science & Law (CN), Southwest University (CN), University of Macau (MO)
Openalex Percentile: Top 73%
Mental Health Research Topics
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Exploring the Impact of Music Preferences on Depressive Symptoms and Meaning in Life: A Network Analysis Approach — Maoping Zheng, Yuqi Lin, et al. · Behavioral Sciences (2025) | TGRS Research Map | TGRS