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1.
Chinese Health Economics ; (12): 66-68, 2013.
Article in Chinese | WPRIM | ID: wpr-437270

ABSTRACT

Objective: To study the impact of the residents’ health investment income growth, and analyze rural-urban differences and regional differences. Methods: According to the provincial panel data from 1996 to 2011, two-way fixed effects model ( Two-way FE) is established in empirical analysis. Results: Health investment has positive effects on the income growth of residents, but rural-urban differences and regional differences exist. The health investment income growth effect of rural area is higher than urban, and the effect of western area is higher than the east. Conclusion: While improving the level of urban medical health investment, it needs to focus on health investment in rural and western area. To make the health investment on income growth effect play its work efficiently, and narrow the rural-urban income gap and regional income gap.

2.
Chinese Mental Health Journal ; (12)2002.
Article in Chinese | WPRIM | ID: wpr-583915

ABSTRACT

Objective: To explore the psychological factors of college students'internet usage. Method: Based on an open-end investigation, we got a questionnaire. 813 college students were surveyed by this questionnaire. Results:1.5% subjects can be defined as internet addiction disorder (IAD) according to Bread' IAD scale. Six factors were extracted by means of factor analysis, and the results indicated that the psychology factor of college students' Internet use could be a multifaceted nature. We did not find significant difference between user with IAD and common users.

3.
Chinese Journal of Clinical Psychology ; (6)2001.
Article in Chinese | WPRIM | ID: wpr-540005

ABSTRACT

Objective:To explore the relationship between loneliness and internet use.Methods:160 college students were surveyed by UCLA Loneliness Scale, Emotional and Social Loneliness Scale and Scale of Internet Use, and the correlations among them were analyzed. Results: The average time spent on the internet was 10 hours per week, and there was a significant relationship between the time spent on internet and loneliness. Emotional Loneliness (EL) was higher than Social Loneliness (SL). Conclusion: The use of internet enhances loneliness. EL is easierly influenced by the use of internet than SL.

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