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Background: Pet therapy could help individuals improve their emotions; and physical and mental health. It also could be effective in the treatment of pain, anxiety, depression, and fatigue. The aim of this study was to determine the effectiveness of pet therapy, concurrent with common medication on positive, negative, cognitive and motor symptoms of schizophrenia. Methods: This was a randomized control trial. Statistical population of the current study included all patients who were admitted to the Razi Psychiatric Center of Tehran and received a diagnosis of schizophrenia based on a clinical interview and DSM criteria by a psychiatrist. Thirty six patients were recruited using snowball sampling. Members of the experimental group were transported by a bus to that spot at 9 a.m on the planned days, in the company of the researcher and a nurse. Patients gave care of the rabbits (including feeding, tidying their cages, moving their cages) for 24 sessions of 90 minutes, three days per week during autumn 2016. The One-way covariance test was also used to evaluate effects of Pet therapy on positive, negative, cognitive and motor symptoms of schizophrenia. Results: finding indicated that considering scores of pre-test for positive, negative and cognitive symptoms, there is a significant difference between the two controls and experimental groups, respectively, (F = 17.04, p < 0.05), (F = 17.39, p < 0.05), (F = 152.12, p < 0.05). Conclusion: Pet therapy could be successfully applied by parents, psychologists and care givers of these patients. We suggest using pet therapy for treatment of other psychiatric disorders as well and preferably like dogs and cats.
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Abstrakt

Objectives: Relapse is very much associated with the management of disorder during the treatment, but also many other factors could trigger it. The aim of this study was to explore classes and patterns of relapse risk in patients with schizophrenia of Razi Hospital. Methods: Using random sampling techniques, we recruited 300 participants with a diagnosis of schizophrenia in Razi hospital of Tehran (Iran) between January and May 2017 in a cross -sectional survey. We used latent class analysis (LCA) to establish a baseline model of risk profiles and to identify the optimal number of latent classes, and we used ordinal regression to identify factors associated with class membership. Results: Three classes of multiple relapse risk were identified. LCA showed that, overall, 52%, 22% and 26% of participants with schizophrenia were divided into class 1, class 2 and class 3, respectively. Compared to members in the lowest -risk class (reference group), the highest -risk class members had higher odds of being the age of disorder onset under 25 (OR = 1.4; CI: 1.42–2.33). Participants with schizophrenia who were unemployed were more likely to categorize in the highest -risk class than members of the low -risk class (OR = 2.5; CI: 1.44–4.1). Also, female patients were more likely to belong to members of the high -risk class than members of the low -risk class (OR = 2.22; CI: 1.74–7.64). Conclusion: These findings emphasize the importance of having targeted prevention programs for all domains of Age of onset, female and unemployed related. So, current study suggested that interventions should focus on these risk factors. Furthermore, Increasing the Job opportunities for participants with schizophrenia is warranted so as to prevent of schizophrenia disorder.
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