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Data · dataset · 2025

A Comprehensive Perspective on Gender Differences in Music Based Emotion Regulation Network

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Description

Background

Music plays a significant role in emotion regulation, exerting both positive and negative effects. The relationship between music-based emotion regulation, emotion regulation self-efficacy, and emotional symptoms is complex and influenced by gender.

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Methods

This study examined healthy and unhealthy music use, emotion regulation self-efficacy, and levels of depression, anxiety, and alexithymia among 16,588 Chinese university students (M_age = 19.82 years, SD = 1.78; 55% male, n = 9,128; 45% female, n = 7,460) through an online survey. Gender differences were investigated using a multi-step analytical framework combining independent-sample t-tests, regularized partial correlation network (RPCN) analysis, and network comparison tests (NCT).Results: Network comparison analyses revealed significant gender differences in both healthy and unhealthy music-use networks (all invariance tests, p < 0.05).

In the healthy-use network, males demonstrated greater node strength for Difficulty Identifying Feelings (DIF, p = 0.001) and Despondency-distress Efficacy (DES, p < 0.001), whereas females exhibited higher node strength for Depression (p = 0.022). A similar pattern of male predominance in DIF (p = 0.005) and DES (p < 0.001) was observed in the unhealthy-use network.Conclusions: These findings underscore the significance of gender in music-based emotion regulation and highlight the need for gender-sensitive strategies in targeted interventions.

The study contributes to a deeper understanding of the dynamic interrelations between music use and emotional processes, offering valuable implications for theory, clinical practice, and the development of music-related digital tools and emotion regulation programs.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Music 69%
Provenance · 1 source records, 10 field assertions
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ScienceDB10.57760/sciencedb.psych.0027911 d agoJSON v1
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