| Literature DB >> 30746163 |
M M Duțescu1, R E Popescu1, L Balcu1, L C Duica2, L M Strunoiu3, D O Alexandru4, M C Pîrlog4.
Abstract
Schizophrenia remains one of the major psychiatric disorder with huge social and economic costs for the individual and community. The role of psycho-social factors is important both on the etiopathogenesis of the illness and its evolution, lack of social functioning and associated stress have impact on everyday life of people with this diagnosis. Our study of 100 subjects with schizophrenia has showed significant correlations between clinical and social items: bigger number of admissions, longest duration of the evolution, cognitive deficits, smoking, suicidal behavior, age, marital status, smoking, level of perceived stress. The social functioning was influenced by these factors, and the therapeutically management during the hospitalization does not showed an improvement of the social function.Entities:
Keywords: cognitive deficits; perceived stress; schizophrenia; social functioning; suicidal behavior
Year: 2018 PMID: 30746163 PMCID: PMC6320466 DOI: 10.12865/CHSJ.44.02.10
Source DB: PubMed Journal: Curr Health Sci J
Social and demographical characteristics of the subjects
| Characteristic | Number (%) |
| Gender | |
| Female | 43 (43.00%) |
| Male | 57 (57.00%) |
| Environment | |
| Urban | 28 (28.00%) |
| Rural | 72 (72.00%) |
| Marital status | |
| Married | 23 (23.00%) |
| Unmarried | 60 (60.00%) |
| Divorced/Widowed | 17 (17.00%) |
| Educational status | |
| No study | 7 (7.00%) |
| Primary school | 28 (28.00%) |
| Gymnasium | 32 (32.00%) |
| High-school | 33 (33.00%) |
| Professional status | |
| Retired | 91 (91.00%) |
| Unemployed | 9 (9.00%) |
Clinical characteristics of the subjects
| Characteristic | Number (%) |
| Number of hospital admissions | |
| 1 admission | 44 (44.00%) |
| 2 admissions | 49 (49.00%) |
| >2 admissions | 7 (7.00%) |
| The form of onset of the disease | |
| Reactive | 85 (85.00%) |
| Insidious | 15 (15.00%) |
| Suicidal behaviour | |
| Absent | 79 (79.00%) |
| Suicidal ideation / atempts | 21 (21.00%) |
| Alcohol consumption | |
| Abstinents | 58 (58.00%) |
| Occasional / moderate | 10 (10.00%) |
| Abuse | 32 (32.00%) |
| Smoking | |
| Non-smokers | 48 (48.00%) |
| Smokers | 52 (52.00%) |
| Clinical status at discharge | |
| Improved | 94 (94.00%) |
| Stationary / aggravated | 6 (6.00%) |
| Social adjusment | |
| Positive | 7 (7.00%) |
| Poor | 93 (93.00%) |
PANSS and MMSE’s scores of the subjects
| PANSS | Admission | Discharge |
| Min | 59 | 47 |
| Q1 | 79 | 66.75 |
| Median | 84 | 76.5 |
| Q3 | 94.25 | 88 |
| Max | 115 | 113 |
| MMSE | Admission | Discharge |
| Min | 7 | 8 |
| Q1 | 13 | 16 |
| Median | 16 | 19 |
| Q3 | 19 | 22 |
| Max | 25 | 28 |
PSS scores of the subjects
| PSS | PSS score |
| Min | 20.00 |
| Q1 | 24.00 |
| Median | 27.00 |
| Q3 | 33.00 |
| Max | 42.00 |
Statistical significant correlations between clinical items
| Social adjustment | Positive | Poor | Chi square p |
| 1 admission | 13.64% | 86.36% | 0.021 |
| >1 admissions | 1.79% | 98.21% | |
| ≤5 years from onset | 14.29% | 85.71% | 0.036 |
| >5 years from onset | 3.08% | 96.92% | |
| Clinical status | Improved | Stationary | Chi square p |
| Age < 50 years | 89.09% | 10.91% | 0.022 |
| Age ≥ 50 years | 100.00% | 0.00% | |
| ≤5 years from onset | 85.71% | 14.29% | 0.010 |
| >5 years from onset | 98.46% | 1.54% | |
| Suicidal ideation | Absent | Present | Chi square p |
| Married | 95.65% | 4.35% | 0.025 |
| Non-married/Divorced | 74.03% | 25.97% | |
| Smoker | 69.23% | 30.77% | 0.012 |
| Non-smoker | 89.58% | 10.42% | |
| Onset | Reactive | Insidious | Chi square p |
| 1 admission | 93.18% | 6.82% | 0.042 |
| >1 admissions | 78.57% | 21.43% |
Statistical significant correlations between clinical items and scores on the evaluation tools
| Variable 1 | Variable 2 | ρ Spearman correlation coefficient | p Spearman |
| Age | MMSE score-admission | -0.476 | < 0.0001 |
| Age | MMSE score-discharge | -0.492 | < 0.0001 |
| PSS score | Duration of the illness | 0.223 | 0.0260 |
Figure 1Correlation between age and MMSE score at admission
Figure 2Correlation between age and MMSE score at discharge
Figure 3Correlation between duration of the illness and PSS score