ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2023
[Urban-rural differentials in the relationship between personality traits and changes in depressive symptoms].
Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Longitudinal trends and sociodemographic inequalities in comorbid insufficient physical activity and depressive symptoms among Chinese adolescents and young adults, 2016-2022.Scientific reports · 2026Article
- Urban-Rural Disparities in Depressive Symptoms Among Employed Individual: Education Plays an Important Role.Psychology research and behavior management · 2025Article
- The Mediated Moderation of Conscientiousness and Active Involution on Zhongyong Practical Thinking and Depression.Psychology research and behavior management · 2024Article
- The influence of media use degree on public depressive symptoms: mediating role of big five personality.BMC psychiatry · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
objectiveThe prevalence of depressive symptoms has become a significant public health issue in China. Research on the relationship between personality traits and changes in depressive symptoms, as well as further exploration of urban-rural differences, not only benefits for the understanding of the prevalence trend of depression in China, but also provides a useful reference for the government to develop personalized mental health prevention strategies.
methodsBased on the data from the China Family Panel Studies in 2018 and 2020, a univariate analysis was conducted on 16 198 Chinese residents aged 18 years and above. Five dimensions of personality traits were conscientiousness, extraversion, agreeableness, neuroticism and openness. In the study, 16 198 residents were divided into "keep good group", "better group", "worse group" and "keep bad group" according to the changes in depressive symptoms in 2018 and 2020. After controlling for factors, such as gender and education, multinomial Logistic regression analysis was used to examine whether personality traits were associated with changes in depressive symptoms. In addition, we evaluated whether urban-rural and personality traits interacted to influence depressive symptoms.
resultsThe five dimensions of personality traits were significantly correlated with changes in depressive symptoms. Conscientiousness, extroversion, and agreeableness were negatively associated with depressive symptoms, while neuroticism and openness were positively related. Urban and rural differences moderated the relationship between personality traits and depressive symptoms. Compared with urban residents, rural residents showed stronger correlations between neuroticism (
conclusionThe study finds that personality traits have a significant correlation with changes in depressive symptoms, with certain traits showing a negative or positive relationship. Specifically, higher levels of conscientiousness, extraversion, and agreeableness are associated with lower levels of depressive symptoms, while higher levels of neuroticism and openness are associated with higher levels of depressive symptoms. In addition, the study finds that rural residents have a stronger association between their personality traits and persistent or improved depressive symptoms, which highlights the need for tailoring mental health intervention and prevention programs that should take into account personality traits and urban-rural differences in China. By developing targeted strategies that are sensitive to personality differences and geographic disparities, policymakers and mental health professionals can help prevent and reduce the incidence of depressive symptoms, ultimately improving the overall well-being of Chinese adults. Meanwhile, additional studies in independent populations are needed to corroborate the findings of this study.
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37291911PMC10258071W4379966454What OpenQuestion holds
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