Objective: Cluster analysis based on Alzheimer’s disease (AD) neuropsychiatric profile demonstrated validity on caregiver burden, nursing-home placement and survival. The aims of our study were to explore the validity of this approach on caregiver burden, lack of insight and cognitive impairment and to examine the impact of neuropsychiatric profiles on these variables. Method: A data-driven approach (two-step cluster analysis) identified groups of patients based on similarities of their neuropsychiatric symptom profile, as assessed by the Neuropsychiatric Inventory (NPI). ANOVAs and χ² tests were used to compare groups with regard to continuous and categorical variables. Linear regressions tested the relationships between NPI and clinical variables. Results: Psychotic/behavioral, depressive and minimally symptomatic clusters differed for caregiver burden and lack of insight. Patients in the minimally symptomatic cluster showed better insight than those in the depressive cluster. Caregivers of the psychotic/behavioral cluster experienced the highest burden. We found positive relationships between NPI and lack of insight in the depressive and minimally symptomatic clusters and between NPI and caregiver burden in all three clusters. Caregiver burden was influenced by the type of symptoms. Conclusions: The cluster analysis was valid for lack of insight and caregiver burden. Symptoms predominant on caregiver burden could become targets for therapy.

The relationships of personal resources with symptom severity and psychosocial functioning have never been tested systematically in a large sample of people with schizophrenia. We applied structural equation models to a sample of 921 patients with schizophrenia collected in a nationwide Italian study, with the aim to identify, among a large set of personal resources, those that may have an association with symptom severity or psychosocial functioning. Several relevant demographic and clinical variables were considered concurrently. Poor service engagement and poor recovery style, as well as older age and younger age at onset, were related to greater symptom severity and poorer social functioning. Higher resilience and higher education were related to better social functioning only. Poor problem-focused coping and internalized stigma, as well as male gender and depression, were related to symptom severity only. The explored variables showed distinctive and partially independent associations with symptom severity and psychosocial functioning. A deeper understanding of these relationships may inform treatment decisions.

Understanding which factors are associated with better outcomes may direct specific and additional therapeutic interventions, such as treatment with SGAs and supported employment, in order to enhance benefits for patients, as well as to improve the delivery of care in the community.

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Taken together, these findings confirmed the importance of cognitive function in obtaining competitive employment. Our results also highlighted the independent role of general psychopathology and awareness of illness on occupational functioning in schizophrenia. Thus, a greater attention must be given to the systematic investigation of insight and general psychopathology in light of an amelioration of vocational functioning in stable schizophrenia.