Illness Perceptions Predict Cognitive Performance Validity
نویسندگان
چکیده
منابع مشابه
A pilot validation of a modified Illness Perceptions Questionnaire designed to predict response to cognitive therapy for psychosis
BACKGROUND AND OBJECTIVES Clinical responsiveness to cognitive behavioural therapy for psychosis (CBTp) varies. Recent research has demonstrated that illness perceptions predict active engagement in therapy, and, thereby, better outcomes. In this study, we aimed to investigate the psychometric properties of a modification of the Illness Perceptions Questionnaire (M-IPQ) designed to predict resp...
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Untreated depression in patients with physical illness causes distress, amplifies physical symptoms and is more predic-tive of functional impairment over time than severity of physical illness. For example, patients with rheumatoid arthritis who become depressed may present with increasingly painful joints in the absence of increased disease activity. Also, diabetic patients with depression hav...
متن کاملDo illness perceptions predict the attendance rate at diabetic outpatient clinic?
OBJECTIVE The aim of this study was to identify predictors of non-attendance and to investigate the influence of illness perceptions on attendance at diabetic outpatient clinics. Research method and design: This is a descriptive study of 442 participants who were enrolled in a Diabetic Outpatient Clinic at Lerdsin Hospital, Thailand. Illness perceptions were derived from a Thai version of the I...
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Objective: Decreased heart rate variability (HRV) has been reported to be a predictor of mortality after myocardial infarction (MI). Patients' beliefs and perceptions concerning their illness may play a role in decreased HRV. This study investigated if illness perceptions predict HRV at 3 months following acute MI. Methods: 130 patients referred to a tertiary cardiology center, were examined wi...
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ژورنال
عنوان ژورنال: Journal of the International Neuropsychological Society
سال: 2018
ISSN: 1355-6177,1469-7661
DOI: 10.1017/s1355617718000218