Background: This study aims to examine the prevalence and predictors associated with self-medication, and related consequences in Wuhan, China. Methods: Two-hundred-sixty residents were interviewed from randomly selected four districts of Wuhan, China. A modified version of Anderson’s health behavioral model was used in the survey to collect information of self-medication behavior. Multivariable logistic regression analyses were used to measure correlates of the prevalence of self-medication. Results: Nearly half of the respondents would select self-medication, and 39.1% would see a doctor if they felt sick. The most common self-medicated illnesses were cold and cough, cardiovascular disease and gastrointestinal disease. The main reasons for self-medication were that the illness was not severe (enough) to see the doctor (45%); the patient did not think that the trouble of seeing a doctor was worth the effort (23%); the patient had no time to see the doctor (12%), and the patient did not want to pay high medical costs (15%). Logistic regression results suggested that respondents tended to select self-medication if the illness was minor or short-term (less than seven days). Conclusions: Our findings suggest that more strict regulation on over-the-counter medicines may be required to reduce health risks related to self-medication. Targeted health education on the risks of self-medication should be considered.

Background Although many studies have analyzed mental health problems in college students in China, the associations of mental health with individual and family circumstances, academic performance, and social support were rarely discussed. Objectives The study aimed to determine the mental health status and its associated factors among college students in China. Methods An online survey was conducted on 300 students selected through a cluster sampling strategy in a university in Hubei, China, tapping into sociodemographic characteristics of the participants, their mental health status measured by the modified Symptom Checklist-90 (SCL-90), and social support measured by the Social Support Rating Scale. Multivariate linear regression models were established to identify predictors of the SCL-90 scores. Results Mental health disorders were found in 8% of the respondents, with obsessive compulsive, interpersonal sensitivity and depression as the top three reported problems. Compared with the national population norms of university students in 2014, our study participants had higher scores in SCL-90. There were statistically significant difference in the Global Severity index (GSI) and all nine subscales scores (p<0.05). Poorer self-rated health, higher study pressure, and lower social support were significant predictors of higher SCL-90 scores (p<0.05) after adjustment for variations in other variables. Conclusions College students in Hubei, China may experience a range of different mental health problems, which are associated with their individual, study, and social circumstances.

Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) could be used as robust alternatives to parametric methods for testing a split-plot interaction with non-normal data and heterogeneous covariance matrices. Results indicated the aligned rank method do not have any distinct advantage over parametric methods in this situation.

In order to fully understand the current situation of health human resources in Hubei Province, two mathematical models, Gini coefficient and health resource density index, were used to analyze the equity of health human resources in Hubei Province, and the Lorenz curve was drawn. After clarifying the distribution of four types of health technical personnel, the result showed that the fairness of distribution by population was better, and the fairness of distribution by geography area needed to be improved. It was suggested that policy makers should consider the geographical area as the factor of resource allocation, and encourage medical college graduates to work in less developed areas. Regions with rich health human resources and regions with less rich health human resources can promote the balance of health capacity through remote construction of medical consortium.

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