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      Influencing factors of disability among the elderly in China, 2003–2016: application of Bayesian quantile regression

      1 , 2 , 3 , 4
      Journal of Medical Economics
      Informa UK Limited

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          Regression Quantiles

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            Bayesian quantile regression

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              Psychiatric and physical morbidity effects of caregiving.

              Existing empirical literature on the prolonged or cumulative consequences of exposure to the stresses of caregiving is reviewed. Specific goals are to identify psychiatric and physical morbidity effects, report the magnitude of those effects, evaluate research and analytic methods used to assess morbidity, and make recommendations for future research. Overall, the literature indicates increases in self-report psychiatric symptomatology and increases in psychiatric illness among most caregivers when compared to population norms or appropriate control groups. However, there is little information on the population prevalence or incidence of clinically significant psychiatric conditions attributable to caregiving. Studies of physical health effects as assessed by self-report, health care utilization, and immune function are less conclusive but, nevertheless, suggest increased vulnerability to physical illness among caregivers. We conclude with a discussion of why morbidity effects are difficult to obtain in caregiver studies and with recommendations for future research.
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                Author and article information

                Journal
                Journal of Medical Economics
                Journal of Medical Economics
                Informa UK Limited
                1369-6998
                1941-837X
                March 21 2019
                June 03 2019
                April 08 2019
                June 03 2019
                : 22
                : 6
                : 605-611
                Affiliations
                [1 ] Department of Economics, Chongqing Technology and Business University, Chongqing, PR China;
                [2 ] Department of Actuarial Studies & Business Analytics, Macquarie University, Macquarie Park, Australia;
                [3 ] School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, PR China;
                [4 ] School of Public Administration, Sichuan University, Chengdu, PR China
                Article
                10.1080/13696998.2019.1600525
                30913934
                9c3b4a31-3a6c-46f5-ad96-e3315c9d57bc
                © 2019
                History

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