In addition, each of the variables was a predictor of subsequent measurements in particular time intervals, illustrating the dynamics of changes. For patients with AIP, the covariance of anxiety and depression was significant, for patients with RIP-depression and anxiety, and for patients with FIP-depression. Based on initial measurements of individual characteristics, it was possible to predict the functioning of patients after several years. The model presented rather satisfactory fit (χ 2 (48) = 81.05 CFI =. The positive adaptation indicators were related to the RIP cluster. It was also significantly characterized by the highest age. FIP showed the lowest adaptation outcomes with small differences between AIP and RIP. Three different illness perception clusters (Anxious, Realistic and Fatalistic Illness Perception named AIP, RIP and FIP) were composed which differentiated the depression, anxiety, quality of life level and age. Finally, a cross-lagged panel modeled for HADS and MSIS-29 subscales in each measurement occasion (T1-T4). Subsequently, the mean values of depression, anxiety, physical and psychological quality of life were compared between the clusters using the Kruskall-Wallis test. The k-means cluster analysis (with two-way and repeated measures ANOVA) was conducted in a group of 90 patients (48.89% women and 51.11% men). The adaptation indicators-anxiety, depression (measured by HADS) and quality of life (measured by MSIS-29) were measured at baseline and three more times over a five-year period. Illness representation was assessed at baseline via the Illness Representation Questionnaire-Revised. depression, anxiety and quality of life during subsequent measurements, were analyzed. The differences between the obtained configurations of the illness perception components during four measurements and the model of predictions of the values of adaptation indicators, i.e. The aim of the study was to assess the role of illness perception in adaptation to chronic disease among patients with relapsing-remitting multiple sclerosis (RRMS). Training MI patients to understand the disease in three half-an-hour sessions for 3 consecutive days can decrease the duration of returning to work, anxiety and depression, and increase illness perceptions which can make a better outcome.
Mean of quality of life subscales scores just physical health subscale showed a significant reduction after 3 months in the control group. Moreover, anxiety, depression, and illness perceptions score were significantly decreased in intervention groups which were 8.3 ± 3.3, 6.8 ± 3.5, and 36.5 ± 5 in intervention groups and 15.8 ± 2.1(P < 0.001), 17.1 ± 2.3 (P < 0.001), and 41.9 ± 4 (P < 0.001) in control group, respectively. The mean duration of returning to work was 28.7 ± 8.1 days in intervention groups and 46 ± 7.6 days in control group which was statistically significant (P < 0.001). Data were analyzed with ANOVA repeated measure. Data were collected from three questionnaires: hospital anxiety and depression scale, the World Health Organization Quality of Life Questionnaire (short form), and Illness Perceptions Questionnaire Brief at admission, 1.5, and 3 months postdischarge. Intervention group was trained to understand the disease by a mental health counselor in three half-an-hour sessions for three consecutive days.
RIPIT AFTER MI TRIAL
The aim of this study was to evaluate the effect of illness perception focused intervention on quality of life, anxiety, and depression in MI patients.Ī randomized controlled trial study of 48 recently hospitalized MI patients was conducted (24 in intervention group and 24 in control group). Some disabilities are depression and anxiety which delay returning to work. Myocardial infarction (MI) is one of the major causes of death and disability worldwide, which can reduces quality of life in patients.
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