New Health Planning and Management Findings from Huazhong University of Science and Technology Described (Measuring the effect of health on the income of people living in extreme poverty: A comparative cross-sectional analysis) - Insurance News | InsuranceNewsNet

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February 15, 2019 Newswires
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New Health Planning and Management Findings from Huazhong University of Science and Technology Described (Measuring the effect of health on the income of people living in extreme poverty: A comparative cross-sectional analysis)

Insurance Weekly News

By a News Reporter-Staff News Editor at Insurance Weekly News -- Current study results on Health and Medicine - Health Planning and Management have been published. According to news reporting originating in Wuhan, People's Republic of China, by VerticalNews journalists, research stated, "Through a review of the literature, we have observed that existing studies primarily focus on defining and measuring poverty, identifying the factors that affect poverty, and proposing anti-poverty strategies. The impact of health on income in the context of extreme poverty has not been adequately studied."

Financial supporters for this research include National Natural Science Foundation of China, Ministry of Education, Humanities and Social Sciences project.

The news reporters obtained a quote from the research from the Huazhong University of Science and Technology, "In China, 30 million people live below the poverty line, and poverty caused by illness accounts for nearly 44% of the total number of recorded incidents. Health impaired by disease has become the largest obstacle to escaping extreme poverty. To determine whether health has a greater effect on the incomes of individuals in the extreme poverty group compared with the nonimpoverished group. The poverty threshold of China in 2010 was adopted for the definition of extreme poverty. The China Health and Nutrition Survey (CHNS) Database 2014 was selected as the data source. Ordinary least squares (OLS) test was conducted to estimate the model, and the endogeneity of the variables was analyzed by the random effects model. Waist-to-hip ratio (WHR) was used instead of body mass index (BMI) to perform the robustness test. We found that the influence of individual health conditions on income was augmented in the case of extreme poverty, which indicates that health indeed influences income more strongly for individuals in the extreme poverty group."

According to the news reporters, the research concluded: "In addition to education, investment, and social security projects, further public policy attention should be given to the improvement of the health status of the extremely impoverished population."

For more information on this research see: Measuring the effect of health on the income of people living in extreme poverty: A comparative cross-sectional analysis. The International Journal of Health Planning and Management, 2019;():.

Our news correspondents report that additional information may be obtained by contacting X. Liu, Dept. of Social Medicine and Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China. Additional authors for this research include L. Zhang, R. He, Z. Li, Y. Wu and B. Li.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1002/hpm.2730. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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