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      Successful ageing, depression and resilience research; a call for a priori approaches to investigations of resilience

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          Abstract

          Given the multitude of risk factors for depression in modern society and given the negative consequences of depressive problems for successful ageing, investigating resilience in relation to depression may help identifying entry points for reducing the burden of morbidity. Research on resilience begins with the realisation that individuals may demonstrate good physical or psychological functioning despite being exposed to risk experiences that can have serious negative impact on functioning. Interest in investigating resilience within ageing research has been increasing. Among the approaches toward investigating resilience are so-called a priori approaches, where criteria for inferring resilience are established a priori. In this editorial, we highlight some of the advantages of taking a priori approaches to the study of resilience and we touch on the implications for a priori approaches for the topic of resilience and depression. We argue that depression should take a prominent role in resilience research, because depression is strongly associated with opportunities for successful ageing.

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          Author and article information

          Journal
          Epidemiol Psychiatr Sci
          Epidemiol Psychiatr Sci
          EPS
          Epidemiology and Psychiatric Sciences
          Cambridge University Press (Cambridge, UK )
          2045-7960
          2045-7979
          December 2017
          10 July 2017
          : 26
          : 6
          : 574-578
          Affiliations
          [1 ] Department of Epidemiology & Biostatistics, Amsterdam Public Health Institute, VU University Medical Center , Amsterdam, The Netherlands
          [2 ] Department of Sociology, VU University , Amsterdam, The Netherlands
          [3 ] Department of Psychiatry, Amsterdam Public Health Institute, VU University Medical Center , Amsterdam, The Netherlands
          Author notes
          [* ]Address for correspondence: M. Huisman, Department of Epidemiology & Biostatistics, P.O. Box 7057, 1007MB, Amsterdam, The Netherlands. (Email: ma.huisman@ 123456vumc.nl )
          Article
          PMC6999036 PMC6999036 6999036 S2045796017000348 00034
          10.1017/S2045796017000348
          6999036
          28689499
          ea3fb9be-ace5-401b-bee3-30e6f479e6f8
          © Cambridge University Press 2017
          History
          Page count
          References: 31, Pages: 5
          Categories
          Editorials

          models/theories of psychiatry,epidemiology,elderly,Depression

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