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Fig. 1 | BMC Public Health

Fig. 1

From: Keeping up with the Wangs: individual and contextual influences on mental wellbeing and depressive symptoms in China

Fig. 1

Interactions effects of individual and county level factors on wellbeing and depressive symptoms. Note. Line type refers to individual education level. a Interaction effect of individual and county education on happiness. Individuals were placed in the less educated group if their total number of years spent in education was less than the national average (8.95 years) and placed in the more educated group if they spent more years in education than the national average. Graphs shows that both high and low educated individuals are happier in more educated counties, though the effect is greater for less educated individuals. b Interaction effect of individual and county education on life satisfaction. Individuals were placed in the less educated group if their total number of years spent in education was less than the national average (8.95 years) and placed in the more educated group if they spent more years in education than the national average. Graphs shows that high and low educated individuals react differently to county education average. The more educated individuals are more satisfied with life in counties where average education is lower, while the opposite is true for less educated individuals. c Interaction effect of individual and county education on depressive symptoms. Individuals were placed in the less educated group if their total number of years spent in education was less than the national average (8.95 years) and placed in the more educated group if they spent more years in education than the national average. Graphs shows that both high and low educated individuals report fewer depressive symptoms in more educated counties, though the effect is greater for less educated individuals. d interaction effect of individual unemployment status and county unemployment rate on life satisfaction. This graph shows that the employed are less satisfied with life in counties where the unemployment rate is high, while there are minimal differences in life satisfaction for the unemployed

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