| Literature DB >> 33808178 |
Pierluigi Cordellieri1, Benedetta Barchielli2, Valeria Masci3, Francesca Viani3, Ivan de Pinto3, Andrea Priori3, Felice Damiano Torriccelli3, Chiara Cosmo4, Stefano Ferracuti4, Anna Maria Giannini1, Jessica Burrai1,2.
Abstract
Many studies investigated the psychological impact of lockdown measures on the general population, while few studies focused on the psychiatric population. This study aimed to investigate the role of therapeutic communities in the management and containment of symptoms of patients with psychosis living in psychiatric residential facilities. Data were collected at two different points: November 2019 (Coronavirus disease 19 had not yet spread) and April 2020 (during the lockdown in Italy). Twenty-two study participants were recruited from three residential accredited psychiatric facilities. During lockdown, the patients showed a small increase in symptomatology in terms of emotional isolation. In addition, it was been observed significant differences in certain functional areas of the behavior, measured as lower inclination towards violent behaviors during lockdown, and higher scores in substance abuse and medical impairment. The lockdown condition could represent a form of containment; daily routines, along with adequate social support, are important aspects of the stability and the level of behavioral functioning of psychiatric patients. Social support and continuity of care offered by psychiatric communities can be an effective safeguard against the psychological impact of the COVID-19 epidemic.Entities:
Keywords: COVID-19; cognitive function; lockdown; mental illness; psychiatric patients; psychiatric symptoms; risk perception; social support
Mesh:
Year: 2021 PMID: 33808178 PMCID: PMC8037022 DOI: 10.3390/ijerph18073567
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive statistics of the study sample.
| Characteristic | Group | Psychiatric Patients |
|---|---|---|
| Age | 31.82 (6.96) | |
| Min–Max | 19–45 | |
| Gender | Female | 10 (45.5%) |
| Male | ||
| Education | Middle school diploma | 8 (36.4%) |
| High school diploma | 12 (54.5%) | |
| Graduate | 2 (9.1%) | |
| Diagnostic Criteria | Schizophrenia | 6 |
Descriptive statistic of COVID information and risk perception, bad mood, and social support during the quarantine.
| Dimension | M ( | Cronbach’s | |
|---|---|---|---|
| Participation informative | Yes | 22 (100%) | |
| Risk perception | 11.87 (2.27) | 0.725 | 22 (100%) |
| 3–15 | |||
| Bad mood due to restrictive measures | 16.06 (3.68) | 0.72 | 22 (100%) |
| 5–25 | |||
| Social support | 14.56 (4.95) | 0.818 | 22 (100%) |
| 3–21 |
Between administration-time differences (ANOVA).
| Clinical Scale | |||||||
|---|---|---|---|---|---|---|---|
| Dimension | F |
| ηp2 | Multiple | Mean | Std. | Sig. |
| MMSE | 1.56 | 0.234 | 0.107 | T1 vs. T2 | |||
| BPRS | 0.296 | 0.596 | 0.022 | T1 vs. T2 | |||
| K_Axis | 3.157 | 0.008 | 0.195 | T1 vs. T2 | |||
| PI | T1 vs. T2 | 1.25 | 1.821 | - | |||
| SS | T1 vs. T2 | 3.194 | 3.051 | - | |||
| Vi | T1 vs. T2 | −13.333 | 5.090 | 0.05 * | |||
| OI | T1 vs. T2 | −5.556 | 0.021 | - | |||
| SA | T1 vs. T2 | −4.861 | 0.265 | 0.05 * | |||
| CPC | T1 vs. T2 | −7.917 | 0.004 | 0.01 ** | |||
| AI | T1 vs. T2 | 0.000 | 1.00 | - | |||
| GAF Eq. | 4.316 | 0.058 | 0.249 | T1 vs. T2 | |||
| GAF K | 0.671 | 0.428 | 0.049 | T1 vs. T2 | |||
| DL | 0.985 | 0.339 | 0.070 | T1 vs. T2 | |||
* p < 0.05. ** p < 0.01; K_Axis = Kennedy Axis V; PI = Psychological impairment; SS = Social skills; Vi = Violence; OI = ADL-Occupational Skills; SA = Substance abuse; CPC = Compromising of physical conditions: Medical impairment; AI = Ancillary impairment; GAF Eq = Global Evaluation Functioning Equivalent, a score that provides an average and global representation of the patient’s functioning. It is obtained from the average of the first four Kennedy Axis V scales; GAF K = Global assessment of functioning. Global functioning obtained by selecting the lowest of the scores from the first four areas; DL = Danger level, this index identifies the highest risk score among those obtained in the seven areas.