Investigate the relationship between men’s health and medical publication

Background and objectives: The role of medical papers in different disciplines in men’s health has not been well-clarified. The aim was to study qualitatively and quantitatively the impacts of medical papers in different disciplines of medical science on men’s health.

Materials and methods: The data have been analyzed by combining correlation analysis, principal component analysis, and multivariate regression methods. This combination method can clean input data by using its correlation with the target data. Thus, the weight of an input parameter by using the multivariate regression method can be obtained. Thus, the proposed method is used to perform personalized optimization.

Results: 69.3% of the variation (p $<$ 0.01) in the male mortality rate of China can be explained by the first principal component. 75.8% of the variation (p $<$ 0.01) in the male life expectancy at birth in China can be explained by the first and the second principal component.

Conclusion: The published medical papers in different disciplines, education, income, and GDP have equally important effects on men’s health.

Keywords

Men's health

Medical publishing

Principal component analysis

Regression methods

Correlation coefficient

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Fig. 1.

Annual change in the target data related mens’ health and part of input data. Standardized mortality rate (adult, male, per 1,000 male adults), life expectancy at birth (male, years), current health expenditure (% of GDP), nurses and midwives (per 1,000 people), out-of-pocket expenditure (% of current health expenditure), school enrollment (tertiary, % gross), school enrollment (tertiary, female, % gross), adjusted savings: education expenditure (current US $\$$ ), GDP per capita (current US $\$$ ), and adjusted net national income per capita (current US $\$$ ) in China as a function of time. The raw data come from the website of the World Bank (https://data.worldbank.org).

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J. Mens. Health Print ISSN 1875-6867 Electronic ISSN 1875-6859