ArticleBMC psychology2025
Association between depressive symptoms and smoking intensity with ethnic minorities in Yunnan Province, China: a moderated mediation model.
Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPrevious research has indicated that depressive symptoms may contribute to an escalation in smoking intensity; however, our knowledge regarding the underlying mediating and moderating mechanisms of this association among ethnic minorities remains limited. This study aimed to investigate the relationship between depressive symptoms and smoking intensity among ethnic minorities residing in Yunnan Province, China. We examined the mediating role of meaning in life as well as the moderating influence of gender in this relationship.
methodsEmploying a cross-sectional design, data collection was conducted from July to December 2022 in five selected counties. The participants comprised 1723 ethnic minorities (864 males and 859 females)from three regions within Yunnan Province, China, who completed measures encompassing demographic information, smoking behavior information, the Patient Health Questionnaire-9, and the Purpose in Life Test-short form. The PROCESS models 4 and 14 were used to conduct a moderated mediation analysis.
resultsThe findings revealed a positive correlation between depressive symptoms and smoking intensity. Additionally, meaning in life was found to partially mediate the link between depressive symptoms and smoking intensity. Moreover, gender moderated the mediating effect of meaning in life with a stronger impact observed among males.
conclusionThis study enhances our understanding of how depressive symptoms contribute to increased smoking intensity for specific individuals and provides novel insights for interventions targeting tobacco use. It also underscores the significance of considering gender-related factors when developing prevention and intervention programs that address smoking intensity.
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