Abstract
Purpose: This study examines satisfaction with social connectedness (SSC) as predictor of positive and negative symptoms in people with a psychotic disorder. Methods: Data from the Pharmacotherapy Monitoring and Outcome Survey (PHAMOUS) was used from patients assessed between 2014 and 2019, diagnosed with a psychotic disorder (N = 2109). Items about social connectedness of the Manchester short assessment of Quality of Life (ManSA) were used to measure SSC. Linear mixed models were used to estimate the association of SSC with the Positive and Negative Syndrome Scale (PANSS) after one and two years against α = 0.01. Analyses were adjusted for symptoms, time since onset, gender and age. Additionally, fluctuation of positive and negative symptom scores over time was estimated. Results: The mean duration of illness of the sample was 18.8 years (SD 10.7) with >65% showing only small variation in positive and negative symptoms over a two to five-year time period. After adjustment for covariates, SSC showed to be negatively associated with positive symptoms after one year (β = −0.47, p < 0.001, 95% CI = −0.70, −025) and two years (β = −0.59, p < 0.001, 95% CI = −0.88, −0.30), and for negative symptoms after one year (β = −0.52, p < 0.001, 95% CI = −0.77, −0.27). The prediction of negative symptoms was not significant at two years. Conclusion: This research indicates that interventions on SSC might positively impact mental health for people with psychosis. SSC is a small and robust predictor of future levels of positive symptoms. Negative symptoms could be predicted by SSC at one year.
Original language | English |
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Pages (from-to) | 121-127 |
Number of pages | 7 |
Journal | Schizophrenia Research |
Volume | 238 |
Early online date | 13 Oct 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
Bibliographical note
Funding Information:Satisfaction with Social Connectedness as a predictor for Positive and Negative Symptoms of Psychosis: a PHAMOUS study. Under the General Data Protection Regulation (GDPR), our data is considered pseudonymized rather than anonymized and is therefore still regarded as personal data. Given that participants have not given informed consent to have their personal data publicly shared, we are legally and ethically not allowed to publish our dataset. Data is therefore only available upon request at the Rob Giel Research center (Data Science Center), email [email protected] or from the project leader (Stynke Castelein, [email protected]). Satisfaction with Social Connectedness as a predictor for Positive and Negative Symptoms of Psychosis: a PHAMOUS study. The author(s) received no financial support for the research, authorship, and/or publication of this article.
Publisher Copyright:
© 2021
Funding
Satisfaction with Social Connectedness as a predictor for Positive and Negative Symptoms of Psychosis: a PHAMOUS study. Under the General Data Protection Regulation (GDPR), our data is considered pseudonymized rather than anonymized and is therefore still regarded as personal data. Given that participants have not given informed consent to have their personal data publicly shared, we are legally and ethically not allowed to publish our dataset. Data is therefore only available upon request at the Rob Giel Research center (Data Science Center), email [email protected] or from the project leader (Stynke Castelein, [email protected]). Satisfaction with Social Connectedness as a predictor for Positive and Negative Symptoms of Psychosis: a PHAMOUS study. The author(s) received no financial support for the research, authorship, and/or publication of this article.
Keywords
- Loneliness
- Longitudinal studies
- Schizophrenia
- Social isolation
- Social skills