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

## TL;DR

This study explores how preferences for sad or happy music affect the connections between depressive symptoms and meaning in life.

## Contribution

The study introduces a network analysis approach to examine how music preferences shape psychological well-being.

## Key findings

- Sad music listeners have denser networks linking depressive symptoms and meaning in life.
- Happy music listeners show weaker connections and more flexible network structures.
- Sad music group has higher global strength, indicating tightly knit networks.

## 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.