Evidence map›Paper›PMID 40426204›Full record

ArticleBMC psychology2025

Dual pathways linking mindfulness to life satisfaction and depression: the mediating roles of self-compassion and rumination in Chinese university students.

Yunpeng Wu, Liping Qin, Xizheng Xu, Yu Tian, Zhe Jia

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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yunpeng Wu *School of Teacher Education, Dezhou University, Dezhou, China. waitu_leo@126.com.
Liping Qin *School of Teacher Education, Dezhou University, Dezhou, China.
Xizheng XuDepartment of Management, Hunan Police Academy, Changsha, China.
Yu TianDepartment of Marxism, Qingdao University of Science and Technology, Qingdao, China.
Zhe JiaScientific Research Division, Qilu Medical University, Zibo, China. jiazhe@qlmu.edu.cn.

Funding

Shandong Province Social Science Planning Research Special Project 24CSZJ02Youth Project in Humanities and Social Science Research of the Ministry of Education of China 23YJC880115
6 · The paper itself

Abstract

objectiveMindfulness has been consistently linked to mental health benefits; however, the underlying mechanisms relating mindfulness to life satisfaction and depression remain underexplored. This study develops and empirically examines the Dual Pathways Mindfulness Model (DPMM), which posits that mindfulness is associated with mental health through sequential mechanisms involving self-compassion and rumination among university students.

methodsA cross-sectional survey involving 1,409 Chinese university students was conducted. Structural equation modeling (SEM) was used to test the hypothesized sequential mediation model. Indirect effects were examined using bias-corrected bootstrap confidence intervals.

resultsMindfulness was positively associated with life satisfaction (Effect = 0.080, p < 0.01) and negatively associated with depression (Effect = -0.180, p < 0.001). Self-compassion significantly mediated both associations, linking mindfulness to higher life satisfaction (Indirect effect = 0.057, 95% CI [0.05, 0.07]) and lower depression (Indirect effect = -0.033, 95% CI [-0.04, -0.03]). Rumination also served as a significant mediator for life satisfaction (Indirect effect = 0.067, 95% CI [0.02, 0.04]) and depression (Indirect effect = -0.064, 95% CI [ -0.07, -0.05]). Furthermore, a sequential mediation pathway was identified: higher mindfulness was associated with greater self-compassion, which was linked to lower rumination, ultimately associated with increased life satisfaction (Indirect effect = 0.020, 95% CI [0.01, 0.03]) and decreased depressive symptoms (Indirect effect = -0.039, 95% CI [-0.05, -0.03]).

conclusionThis study proposes and validates the DPMM, a novel model explaining how mindfulness relates to mental health through interconnected self-regulatory processes. By identifying self-compassion and rumination as sequential mediators, the findings offer theoretical insights into the psychological mechanisms linking mindfulness to enhanced well-being. While the cross-sectional design precludes causal claims, the results provide a foundational framework to guide future longitudinal studies and inform mental health promotion strategies grounded in mechanism-based understanding.

Indexed as

DepressionEmpathyMindfulnessPersonal SatisfactionRumination, CognitiveStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleUniversitiesYoung AdultDepressionLife satisfactionMindfulnessRuminationSelf-compassionSequential mediationUniversity students

Identifiers

PMID40426204
PMCPMC12117703

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.