Abstract
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.
Go to article