Getting out of the house: The relationship of venturing into the community and neurocognition among adults with serious mental illness.

Abstract

Objective: The purpose of this study was to determine if environmental novelty was associated with neurocognitive function among adults with serious mental illness. Method: Participants were recruited from community mental health centers (n = 117), and received a Global Positioning System (GPS) enabled cellular phone for 13 days. Data were also collected on cognitive function and recent participation in community-based activities. Independent samples t-tests were conducted to identify differences in neurocognitive function between participants who predominantly stayed in their homes ("homebodies") versus those who ventured more often from their homes ("venturers"). Analyses were also undertaken to identify if the nature of community participation activities mediated the relationship of neurocognitive function to group membership. Results: Overall, 74% of GPS signals were from participants' home residence. Homebodies demonstrated significantly poorer cognitive function than venturers, and this relationship was not mediated by a number of unique destinations or breadth of community participation activities. Conclusions and Implications for Practice: This study identified a subset of adults with serious mental illnesses who left their homes infrequently and who demonstrate significantly poorer cognitive function than those who left their homes more frequently. Spending extensive amounts of time in an unchanging environment may be a contributing factor to poor cognitive function, and a potential area for intervention. Impact and ImplicationsThis study found that among adults with serious mental illness, spending a majority of days never leaving the home was associated with poorer neurocognitive function. Given that neurocognition is known to respond to environmental demands, spending extended periods in a single home environment may provide little stimulation and hence little opportunity to support neurocognitive abilities.

Mapping community: A scoping review of clubhouse members’ social networks and their impact on recovery in mental illness.

“…Directionality of support, and reciprocity measures can be used to examine mutually supportive relationships, a unique aspect of Clubhouses. Additional options for social network analysis include incorporating the use of location data (McCormick et al, 2022), examining potential changes in network characteristics over longer periods of time, providing participants with opportunities to elaborate on their social networks, activities, and familiar locations (Sweet et al, 2018), and using social networks to inform evaluations (Popelier, 2018) or interventions (Shelton et al, 2019).…”

Current insights of community mental healthcare for people with severe mental illness: A scoping review

“…Furthermore, we found three expert papers about collaboration in an integrated care system (3,53,63). Therefore, one systematic metareview (31), one mixed-method paper (57), one quantitative study (55), and one opinion paper (52) recommend an integrated care system with the integration of primary care in mental healthcare, and one descriptive paper shows an integrated mental health information system (62).…”

“…Finally, we found some papers on self-reliance. Two qualitative papers describe that a recovery-oriented system of care should give a holistic view of a person's strengths and build on the strengths and resiliencies of individuals, families, and communities (62,69). One qualitative evaluative paper finds that FACT may support citizenship by relating to service users as whole people, facilitating empowerment and involvement (60).One expert paper states that signpost ways are needed for people to self-care, make useful contributions to society (52), and to be able to feel a fullyfledged citizen.…”

Impact of COVID-19 on Community Participation and Mobility in Young Adults with Autism Spectrum Disorders

“…The algorithm has three parameters, called eps1 (spatial distance), eps2 (temporal distance) and minpts (minimum number of points necessary to form a cluster. Consistent with earlier studies (Brusilovskiy et al, 2016(Brusilovskiy et al, , 2020McCormick et al, 2021), we set the values of these parameters to 200 m, 20 min, and 10 points, respectively. Roughly speaking, this means that the individual is in a cluster, or at a destination, when there are at least 10 points which are within 200 m and 20 min of each other.…”