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      Is Health Contagious?—Based on Empirical Evidence From China Family Panel Studies' Data

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          Abstract

          This study empirically analysed the contagion of health using data from China Family Panel Studies. We first controlled variables related to health behaviour, medical conditions, individual characteristics, household characteristics, group characteristics, and prefecture/county characteristics and then employed multiple methods for estimation. The estimates showed that the average health level of others in the community had a significant positive effect on individual self-rated health—health was contagious. The measurement results remained robust after the endogeneity of the core explanatory variables was controlled using two-stage least squares. Furthermore, by analysing the heterogeneity of health contagion, we found that the contagion effect of health varied with the level of medical care, household affiliation, gender, rural/urban areas, and age groups. The contagion effect of health was more pronounced in the elderly population and the rural areas of the central region, where the level of medical care is relatively low, whereas it did not differ significantly between genders. Finally, the learning or imitation mechanism and social interaction mechanism of health contagion were examined.

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          Most cited references65

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          On the Concept of Health Capital and the Demand for Health

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            The spread of obesity in a large social network over 32 years.

            The prevalence of obesity has increased substantially over the past 30 years. We performed a quantitative analysis of the nature and extent of the person-to-person spread of obesity as a possible factor contributing to the obesity epidemic. We evaluated a densely interconnected social network of 12,067 people assessed repeatedly from 1971 to 2003 as part of the Framingham Heart Study. The body-mass index was available for all subjects. We used longitudinal statistical models to examine whether weight gain in one person was associated with weight gain in his or her friends, siblings, spouse, and neighbors. Discernible clusters of obese persons (body-mass index [the weight in kilograms divided by the square of the height in meters], > or =30) were present in the network at all time points, and the clusters extended to three degrees of separation. These clusters did not appear to be solely attributable to the selective formation of social ties among obese persons. A person's chances of becoming obese increased by 57% (95% confidence interval [CI], 6 to 123) if he or she had a friend who became obese in a given interval. Among pairs of adult siblings, if one sibling became obese, the chance that the other would become obese increased by 40% (95% CI, 21 to 60). If one spouse became obese, the likelihood that the other spouse would become obese increased by 37% (95% CI, 7 to 73). These effects were not seen among neighbors in the immediate geographic location. Persons of the same sex had relatively greater influence on each other than those of the opposite sex. The spread of smoking cessation did not account for the spread of obesity in the network. Network phenomena appear to be relevant to the biologic and behavioral trait of obesity, and obesity appears to spread through social ties. These findings have implications for clinical and public health interventions. Copyright 2007 Massachusetts Medical Society.
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              Subjective burden of husbands and wives as caregivers: a longitudinal study.

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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                02 July 2021
                2021
                : 9
                : 691746
                Affiliations
                [1] 1Global Value Chain Research Center, Zhejiang Gongshang University , Hangzhou, China
                [2] 2School of Economics, East China Normal University , Shanghai, China
                [3] 3School of Economics and Management, Shihezi University , Shihezi, China
                [4] 4School of Economics, Huazhong University of Science and Technology , Wuhan, China
                [5] 5International Business Research Institute, Zhejiang Gongshang University , Hangzhou, China
                [6] 6School of Master of Business Administration, Zhejiang Gongshang University , Hangzhou, China
                [7] 7School of Economics, Shanghai University , Shanghai, China
                Author notes

                Edited by: Eugene Mutuc, Bulacan State University, Philippines

                Reviewed by: Narimasa Kumagai, Seinan Gakuin University, Japan; Krzysztof Kaczmarek, Medical University of Silesia, Poland; Chi-Fang Liu, Cheng Shiu University, Taiwan

                *Correspondence: Hao Hu hnhuhao@ 123456shu.edu.cn

                This article was submitted to Health Economics, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2021.691746
                8283520
                34277551
                d66ca388-6ec8-460a-bb1e-e24421c645ca
                Copyright © 2021 Hu, Shi, Wang, Nan, Wang, Wei, Li, Jiang, Hu and Zhao.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 April 2021
                : 07 June 2021
                Page count
                Figures: 0, Tables: 10, Equations: 5, References: 65, Pages: 15, Words: 11008
                Categories
                Public Health
                Original Research

                health,contagion,health in china,self-rated health,contagion mechanism,endogeneity control

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