Prevalence of loneliness and its correlates among patients with schizophrenia

Functional recovery in older adults with schizophrenia: A national interRAI study

BACKGROUND

The concept of recovery for people with schizophrenia (PwS) is still a matter of debate. Growing numbers of PwS living to older age calls for examination of their disease trajectories with a focus on recovery.

AIM

To compare two groups of PwS (good wellbeing; poor wellbeing) on several psychosocial variables associated with social wellbeing to identify interventions that support functional recovery.

METHOD

Data was drawn from participants from across New Zealand (NZ), who had received a formal diagnosis of Schizophrenia; were living independently in the community, and who had undergone their first International Resident Assessment Instrument (interRAI) assessment from 2012 to 2022. We compared two groups of PwS (good social wellbeing; poor social wellbeing) examining associations with demographic and psychosocial variables.

RESULTS

We compared interRAI assessments for: 'poor psychosocial wellbeing' (n = 1,378; 67%; 56% female; 70.5% 65 years and over; 36.1% never married); and 'good psychosocial wellbeing' (n = 693; 33%; 61.1% female; 78.1% 65 years and over; 29.8% never married; n = 549 did not have sufficient social wellbeing data to be included). We found significant associations between social wellbeing and depression, disruptive behaviour, decision making, self-expression, understanding verbal information, activity level, self-reported health and medication adherence. Logistical regression showed depression (β = .84, p < .001, Wald = 51.01, Exp(B) = 2.31) and mild disruptive behaviour (β = .63, p = .002, Wald = 9.26, Exp(B) = 0.53) were the only predictors of poor social wellbeing. Those who reported some degree of depressive symptoms were 2.31 (CI [1.84, 2.91]) more likely to be in the poor social wellbeing group.

CONCLUSIONS

A significant minority (33.5%) of older PwS enjoy positive social wellbeing. Several psychosocial variables are associated with wellbeing. By addressing the comorbidity of depressive symptoms, we may be able to improve wellbeing for older PwS.

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia

BACKGROUND

Healthy lifestyle is an important protective factor of developing cardiovascular disease in people with schizophrenia. However, little is known about the determinants of lifestyle and its contribution to metabolic syndrome. This study aimed to explore the influencing factors of health-promoting lifestyle (HPL) and its association with metabolic syndrome among people with schizophrenia.

METHODS

A cross-sectional study was conducted in twenty-two primary health centers of Guangzhou, China between December 2022 and April 2023. A total of 538 patients with schizophrenia were recruited through convenience sampling. Self-administered scales, questionnaires, and clinical data were collected. Scales and questionnaires included social-demographic information, Health-Promoting Lifestyles Profile (HPLP-C), UCLA Loneliness Scale (ULS), and International Physical Activity Questionnaire-Short Form (IPAQ-SF). Cluster analyses were used to divide participants into two groups based on the distribution characteristics of HPLP-C scores. Logistic regression models were used to identify factors associated with HPL and the association between HPL and metabolic syndrome.

RESULTS

There were 271 participants in the high HPL group and 267 participants in the low HPL group. Logistic regression analysis revealed that loneliness posed a risk factor for high HPL, while high education and moderate-vigorous physical activity served as protective factors for high HPL. Low HPL was a risk factor for the prevalence of metabolic syndrome.

CONCLUSIONS

Promotion of high education literacy and a physically active lifestyle should be priority targets in the health management of schizophrenia. Primary healthcare providers can play a pivotal role in assisting patients to mitigate metabolic syndrome by reinforcing healthy lifestyle strategies.

Correlates of Social Isolation in Forensic Psychiatric Patients with Schizophrenia Spectrum Disorders: An Explorative Analysis Using Machine Learning

The detrimental effects of social isolation on physical and mental health are well known. Social isolation is also known to be associated with criminal behavior, thus burdening not only the affected individual but society in general. Forensic psychiatric patients with schizophrenia spectrum disorders (SSD) are at a particularly high risk for lacking social integration and support due to their involvement with the criminal justice system and their severe mental illness. The present study aims to exploratively evaluate factors associated with social isolation in a unique sample of forensic psychiatric patients with SSD using supervised machine learning (ML) in a sample of 370 inpatients. Out of >500 possible predictor variables, 5 emerged as most influential in the ML model: attention disorder, alogia, crime motivated by ego disturbances, total PANSS score, and a history of negative symptoms. With a balanced accuracy of 69% and an AUC of 0.74, the model showed a substantial performance in differentiating between patients with and without social isolation. The findings show that social isolation in forensic psychiatric patients with SSD is mainly influenced by factors related to illness and psychopathology instead of factors related to the committed offences, e.g., the severity of the crime.