ABSTRACT
OBJECTIVES: This study aimed to (1) explore the changes in conspiracy mentality across the four waves of the COVID-19 pandemic; (2) assess the relationship between conspirative mentality and psychological/behavioural variables; (3) identify the predictors of conspirative mentality; and (4) explore the effect of conspirative mentality on COVID-19 protective behaviour. STUDY DESIGN: This was a multiwave survey. METHODS: A total of 10,013 Italian individuals, aged 18-70 years, were assessed across the four waves (from January to May 2021) through online survey. We collected information about the sociodemographic characteristics of participants, personal experiences of COVID-19 infection, trust, COVID-19 protective behaviours, COVID-19 risk perception, arousal, auto-efficacy, resilience and well-being. Conspiracy mentality was assessed with the Conspiracy Mentality Questionnaire. The statistical analyses included exploratory factorial analyses, Pearson correlations and multiple linear regressions. RESULTS: The conspiracy mentality score during the COVID-19 pandemic was medium-high (mean 59.0 on a 0-100 scale) and slightly increased from 58.2 to 59.9 across months, in parallel with a slight decrease in trust in health institutions and scientific informational sources. Individuals aged >35 years, poorly educated and particularly scared about their financial situation were at risk of showing higher levels of conspirative mentality. Higher levels of conspirative mentality were risk factors for low levels of COVID-19 protective behaviours. CONCLUSIONS: Clear and effective communication may improve trust in health institutions and informational sources, decrease conspirative theories and increase compliance with protective behaviour.
Subject(s)
COVID-19 , Pandemics , Humans , COVID-19/epidemiology , Health Behavior , Italy/epidemiology , TrustABSTRACT
BACKGROUND: This prospective cohort study aimed at evaluating patterns of polypharmacy and aggressive and violent behavior during a 1-year follow-up in patients with severe mental disorders. METHODS: A total of 340 patients (125 inpatients from residential facilities and 215 outpatients) were evaluated at baseline with the Structured Clinical Interview for DSM-IV Axis I and II, Brief Psychiatric Rating Scale, Specific Levels of Functioning scale, Brown-Goodwin Lifetime History of Aggression, Buss-Durkee Hostility Inventory, Barratt Impulsiveness Scale, and State-Trait Anger Expression Inventory-2. Aggressive behavior was rated every 15 days with the Modified Overt Aggression Scale and treatment compliance with the Medication Adherence Rating Scale. RESULTS: The whole sample was prescribed mainly antipsychotics with high levels of polypharmacy. Clozapine prescription and higher compliance were associated with lower levels of aggressive and violent behavior. Patients with a history of violence who took clozapine were prescribed the highest number of drugs. The patterns of cumulative Modified Overt Aggression Scale mean scores of patients taking clozapine (n = 46), other antipsychotics (n = 257), and no antipsychotics (n = 37) were significantly different (P = .001). Patients taking clozapine showed a time trend at 1-year follow-up (24 evaluations) indicating a significantly lower level of aggressive behavior. Patient higher compliance was also associated with lower Modified Overt Aggression Scale ratings during the 1-year follow-up. CONCLUSION: Both inpatients and outpatients showed high levels of polypharmacy. Clozapine prescription was associated with lower Modified Overt Aggression Scale ratings compared with any other antipsychotics or other psychotropic drugs. Higher compliance was associated with lower levels of aggressive and violent behavior.
Subject(s)
Aggression/drug effects , Mental Disorders/drug therapy , Practice Patterns, Physicians'/trends , Psychotropic Drugs/adverse effects , Violence , Adolescent , Adult , Cross-Sectional Studies , Drug Prescriptions , Drug Utilization/trends , Female , Humans , Italy , Male , Medication Adherence , Mental Disorders/diagnosis , Mental Disorders/psychology , Middle Aged , Polypharmacy , Prospective Studies , Time Factors , Young AdultABSTRACT
BACKGROUND: A growing number of severely ill patients require long-term care in non-hospital residential facilities (RFs). Despite the magnitude of this development, longitudinal studies surveying fairly large resident samples and yielding important information on this population have been very few. AIMS: The aims of the study were (1) to describe the socio-demographic, clinical, and treatment-related characteristics of RF patients during an index period in 2010; (2) to identify predictors and characteristics associated with discharge at the 1-year follow-up; (3) to evaluate clinicians' predictions about each patient's likelihood of home discharge (HD). METHODS: A prospective observational cohort study was conducted involving all patients staying in 23 medium-long-term RFs of the St John of God Order with a primary psychiatric diagnosis. A comprehensive set of socio-demographic, clinical, and treatment-related information was gathered and standardized assessments (BPRS, HONOS, PSP, PHI, SLOF, RBANS) were administered to each participant. Logistic regression analyses were run to identify independent discharge predictors. RESULTS: The study involved 403 patients (66.7% male), with a mean age of 49 years (SD = 10). The participants' average illness duration was 23 years; median value for length of stay in the RF was 2.2 years. The most frequent diagnosis was schizophrenia (67.5%). 104 (25.8%) were discharged: 13.6% to home, 8.2% to other RFs, 2.2% to supported housing, and 1.5% to prison. Clinicians' predictions about HD were generally erroneous. CONCLUSIONS: Very few patients were discharged to independent accommodations after 1 year. The main variables associated with a higher HD likelihood were: illness duration of <15 years and effective social support during the previous year. Lower severity of psychopathology and higher working skill levels were also associated with a significantly greater HD likelihood.