Motivational and cognitive factors linked to community integration in homeless veterans: study 1 - individuals with psychotic disorders

Neurocognitive and social cognitive correlates of social exclusion in psychotic disorders: a 20-year follow-up cohort study

PURPOSE

Little is known about the relationship between social exclusion and cognitive impairment in psychosis. We conducted a long-term cohort study of first-episode psychosis to examine the association between comprehensive measures of cognitive impairment and social exclusion assessed at follow-up.

METHODS

A total of 173 subjects with first-episode psychosis were assessed after a 20-year follow-up for 7 cognitive domains and 12 social exclusion indicators. Associations between sets of variables were modeled using multivariate regression, where social exclusion indicators were the dependent variables, cognitive domains were the independent variables, and age, gender, and duration of follow-up were covariates.

RESULTS

The total scores on the measures of cognition and social exclusion were strongly associated (β =  - .469, ∆R2 = 0.215). Participants with high social exclusion were 4.24 times more likely to have cognitive impairment than those with low social exclusion. Verbal learning was the cognitive function most related to social exclusion domains, and legal capacity was the exclusion domain that showed the strongest relationships with individual cognitive tests. Neurocognition uniquely contributed to housing, work activity, income, and educational attainment, whereas social cognition uniquely contributed to neighborhood deprivation, family and social contacts, and discrimination/stigma. Neurocognition explained more unique variance (11.5%) in social exclusion than social cognition (5.5%).

CONCLUSION

The domains of cognitive impairment were strongly and differentially related to those of social exclusion. Given that such an association pattern is likely bidirectional, a combined approach, both social and cognitive, is of paramount relevance in addressing the social exclusion experienced by individuals with psychotic disorders.

Stress-related gene regulation: Do isolated and connected individuals differ?

BACKGROUND

Social isolation and loneliness (known as social disconnection, collectively) lead to serious downstream health effects, including shortening of lifespan and higher risk for cardiac disease. We must better understand how isolation and loneliness lead to these negative health outcomes. Previous literature has demonstrated that social motivation and social ability are contributors to the likelihood of social isolation and loneliness. We examined the effect of the above social factors on immune gene expression in socially-connected and -isolated individuals.

METHODS

Recruitment occurred via two online advertisements, one for socially isolated individuals and another for general research participants. Participants (n = 102) were separated into groups (isolated versus connected) based on which ad they responded to, and provided data on isolation, loneliness, social motivation, and social ability. The Conserved Transcriptional Response to Adversity (CTRA) stress gene regulation program was assessed with genome-wide transcriptional profiling.

RESULTS

CTRA gene expression patterns were reversed between connected and isolated groups across several variables. Social isolation was associated with higher CTRA levels in the connected group, but lower levels in the isolated group. Social approach was associated with lower CTRA levels in the connected group, but higher in the isolated group, and the converse was true for social avoidance. CTRA levels were minimally affected by social ability measures.

CONCLUSION

Prior work on social isolation and loneliness has focused on loneliness and has identified many negative downstream health effects. In this study we demonstrate that objective social isolation may not be associated with the same negative downstream health effects, and in fact, social interaction may be more stressful than social isolation for some socially-isolated individuals.

The impact of psychological strengths on Veteran populations' mental health trajectories during the COVID-19 pandemic

PURPOSE

Mental health trajectories during the COVID-19 pandemic have been examined in Veterans with tenuous social connections, i.e., those with recent homelessness (RHV) or a psychotic disorder (PSY), and in control Veterans (CTL). We test potential moderating effects on these trajectories by psychological factors that may help individuals weather the socio-emotional challenges associated with the pandemic (i.e., 'psychological strengths').

METHODS

We assessed 81 PSY, 76 RHV, and 74 CTL over 5 periods between 05/2020 and 07/2021. Mental health outcomes (i.e., symptoms of depression, anxiety, contamination concerns, loneliness) were assessed at each period, and psychological strengths (i.e., a composite score based on tolerance of uncertainty, performance beliefs, coping style, resilience, perceived stress) were assessed at the initial assessment. Generalized models tested fixed and time-varying effects of a composite psychological strengths score on clinical trajectories across samples and within each group.

RESULTS

Psychological strengths had a significant effect on trajectories for each outcome (ps < 0.05), serving to ameliorate changes in mental health symptoms. The timing of this effect varied across outcomes, with early effects for depression and anxiety, later effects for loneliness, and sustained effects for contamination concerns. A significant time-varying effect of psychological strengths on depressive symptoms was evident in RHV and CTL, anxious symptoms in RHV, contamination concerns in PSY and CTL, and loneliness in CTL (ps < 0.05).

CONCLUSION

Across vulnerable and non-vulnerable Veterans, presence of psychological strengths buffered against exacerbations in clinical symptoms. The timing of the effect varied across outcomes and by group.

Socioeconomic challenges during the COVID-19 pandemic for Veterans with psychosis or recent homelessness

The COVID-19 pandemic and social distancing have directly impacted the socioeconomic well-being of most Americans. Veterans with psychosis (PSY) and Veterans who were recently housed (RHV) through a supportive housing programme may be especially vulnerable to experiencing negative socioeconomic effects of the pandemic. In this study, we investigated socioeconomic experiences and challenges during the pandemic in these two putatively vulnerable Veteran groups and in Veterans with no history of PSY or homeless (i.e., control Veterans, CTL). A total of 231 Veterans (81 PSY, 76 RHV, 64 CTL) participated in the baseline assessment, and 203 in the follow-up assessment (74 PSY, 63 RHV, 66 CTL). At both assessment points we obtained socioeconomic information, including personal finances, financial concerns, housing concerns, experience of material hardships, and employment status. All groups of Veterans reported socioeconomic challenges during the pandemic, but the pattern of effects differed across groups. Although RHV was in a similar position to the PSY group with respect to personal finances, they reported lower levels of financial well-being and were more prone to experiencing material hardships compared to the other two groups. CTL was most vulnerable to experiencing negative financial shocks. Contrary to expectations, PSY did not experience disproportionate material hardships compared to CTL. Veterans face significant socioeconomic challenges during the COVID-19 pandemic. However, RHV disproportionately experienced certain concerns and hardships, and these are a target for intervention by clinicians and service providers. PSY generally fared better than anticipated, possibly reflecting longstanding engagement with VA services that could serve to buffer the socioeconomic impact of the pandemic.

Factors associated with recovery from homelessness among veterans in permanent supportive housing

AIMS

We sought to identify person- and program-level factors distinguishing permanent supportive housing (PSH) residents with higher versus lower social integration; and higher versus lower instrumental functioning.

METHODS

Among 60 PSH residents at Los Angeles' VA, surveys and medical records captured person-level factors. Using a median split, we dichotomized participants with higher versus lower social integration; and higher versus lower instrumental functioning. Recursive partitioning (RP) identified variables that best-differentiated these subgroups. Interviews with 26 participants captured their perceptions on social integration and instrumental functioning.

RESULTS

Using RP, health-related quality of life, psychiatric symptoms and case management frequency best-differentiated the social integration subgroups. Few perceived that PSH affected social integration. RP did not yield a stable model to differentiate the instrumental functioning subgroups; participants perceived that PSH addressed most functional deficits.

CONCLUSIONS

Services that enhance social integration may benefit PSH residents with poor health; existing services may adequately address instrumental functioning.

The adaptation of the community integration scale for adults with psychiatric disorders into Chinese: Cross-cultural adaptation, reliability and validity

Community integration problems are fundamental to psychosis and are part of the diagnostic criteria for schizophrenia, but there is a lack of relevant researches and validated scales available for use in China. We intend to translate and assess the reliability and validity of the Community Integration Scale for Adults with Psychiatric Disorders (CIS-APP) scale. A cross-sectional study was conducted on a sample of 612 schizophrenic patients in China. The CIS-APP was used to collect data, and the raw data were randomly divided into two parts for an exploratory factor analysis and a confirmatory factor analysis, to evaluate construct validity. Content validity and reliability were tested by content validity index and Cronbach's α coefficients、split-half reliability respectively. A six-factor structure was emerged, and it explained 61.762% of the total variance. The fit of the six-factor model was acceptable, and the standardized factor loadings ranged from 0.412 to 0.903. The computed reliability of the scale was 0.915. The CIS-APP has excellent psychometric properties, and can be applied to measure community integration levels in people with schizophrenia.