title: Socio-economic development and emotion-health connection revisited: a multilevel modeling analysis using data from 162 counties in China.
abstract: BACKGROUND
  Substantial research has shown that emotions play a critical role in physical health. However, most of these studies were conducted in industrialized countries, and it is still an open question whether the emotion-health connection is a "first-world problem".
  
  
  METHODS
  In the current study, we examined socio-economic development's influence on emotion-health connection by performing multilevel-modeling analysis in a dataset of 33,600 individuals from 162 counties in China.
  
  
  RESULTS
  Results showed that both positive emotions and negative emotions predicted level of physical health and regional Gross Domestic Product Per Capita (GDPPC) had some impact on the association between emotion and health through accessibility of medical resources and educational status. But these impacts were suppressed, and the total effects of GDPPC on emotion-health connections were not significant.
  
  
  CONCLUSIONS
  These results support the universality of emotion-health connection across levels of GDPPC and provide new insight into how socio-economic development might affect these connections.
authors.affiliation: Jiangxi Normal University, Room 313, Jieqiong Buliding, No. 99, Ziyang Road, Nanchang, China. yuzonghuo@126.com.|Jiangxi Key Laboratory for Psychology and Cognitive Science, Nanchang, China. yuzonghuo@126.com.
authors.forename: Zonghuo
authors.initials: Z
authors.lastname: Yu
authors.affiliation: Tsinghua University, Beijing, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Wang
mesh_terms: D000367:Age Factors; D002681:China / Q000453:epidemiology; D019049:Developed Countries; D057217:Economic Development / Q000706:statistics & numerical data*; D004644:Emotions; D005260:Female; D059066:Gross Domestic Product; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D008297:Male; D008603:Mental Health / Q000706:statistics & numerical data*; D055361:Multilevel Analysis; D057566:Self Report; D012737:Sex Factors; D012959:Socioeconomic Factors
keywords: Accessibility of medical resources; Educational status; Emotion-health connection; GDP