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Nicola R. Gawlik,Malcolm J. Bond 대한당뇨병학회 2018 Diabetes and Metabolism Journal Vol.42 No.2
Background: The purpose of this study is to determine the impact of negative affect (defined in terms of lack of optimism, depressogenic attributional style, and hopelessness depression) on the quality of life of women with type 1 diabetes mellitus. Methods: Participants (n=177) completed either an online or paper questionnaire made available to members of Australian diabetes support groups. Measures of optimism, attributional style, hopelessness depression, disease-specific data, and diabetes-related quality of life were sought. Bivariate correlations informed the construction of a structural equation model. Results: Participants were 36.3±11.3 years old, with a disease duration of 18.4±11.2 years. Age and recent glycosylated hemoglobin readings were significant contextual variables in the model. All bivariate associations involving the components of negative affect were as hypothesized. That is, poorer quality of life was associated with a greater depressogenic attributional style, higher hopelessness depression, and lower optimism. The structural equation model demonstrated significant direct effects of depressogenic attributional style and hopelessness depression on quality of life, while (lack of) optimism contributed to quality of life indirectly by way of these variables. Conclusion: The recognition of negative affect presentations among patients, and an understanding of its relevance to diabetesrelated quality of life, is a valuable tool for the practitioner.
Stö,ber, Gerald,Ben-Shachar, Dorit,Cardon, M.,Falkai, Peter,Fonteh, Alfred N.,Gawlik, Micha,Glenthoj, Birte Y.,Grü,nblatt, Edna,Jablensky, Assen,Kim, Yong-Ku,Kornhuber, Johannes,McNeil, Thomas Informa UK (TaylorFrancis) 2009 The world journal of biological psychiatry Vol.10 No.2
<P>Objective. The phenotypic complexity, together with the multifarious nature of the so-called 'schizophrenic psychoses', limits our ability to form a simple and logical biologically based hypothesis for the disease group. Biological markers are defined as biochemical, physiological or anatomical traits that are specific to particular conditions. An important aim of biomarker discovery is the detection of disease correlates that can be used as diagnostic tools. Method. A selective review of the WFSBP Task Force on Biological Markers in schizophrenia is provided from the central nervous system to phenotypes, functional brain systems, chromosomal loci with potential genetic markers to the peripheral systems. Results. A number of biological measures have been proposed to be correlated with schizophrenia. At present, not a single biological trait in schizophrenia is available which achieves sufficient specificity, selectivity and is based on causal pathology and predictive validity to be recommended as diagnostic marker. Conclusions. With the emergence of new technologies and rigorous phenotypic subclassification the identification of genetic bases and assessment of dynamic disease related alterations will hopefully come to a new stage in the complex field of psychiatric research.</P>