| Literature DB >> 35432701 |
Aboubacar Abderemane1, Taher Moussa Ahmadou1, Abderrazzak Khadmaoui2, Siham Belbachir3, Khalid Barkat4, Ahmed Omar Touhami Ahami1.
Abstract
Introduction: substance use disorders are becoming increasingly common among schizophrenic patients and often raise problems in their care. This work aims to assess the rate and level of substance use in schizophrenic patients hospitalized for relapse and to identify factors associated with this comorbidity.Entities:
Keywords: Morocco; Schizophrenia; addiction; alcohol; cannabis; tobacco
Mesh:
Year: 2022 PMID: 35432701 PMCID: PMC8977361 DOI: 10.11604/pamj.2022.41.107.30606
Source DB: PubMed Journal: Pan Afr Med J
Figure 1distribution of tobacco use and level of consumption according to the Fagerström scale
chi-square test of independence between the Fagerström test and certain factors such as gender, history, and reason for use
| Fagerström | Total | Chi-square (p-value) | |||
|---|---|---|---|---|---|
| (score≥5) | (score<5) | ||||
| Gender | Male | 41.09% (n=30) | 58.90%(n=43) | 73 | 8.25 (p <0,016) |
| Female | 20% (n=2) | 80%(n=8) | 10 | ||
| History of tobacco use in the family | Yes | 33.84% (n=22) | 66.15%(n=43) | 65 | 6.18 (p<0,045) |
| No | 55.55% (n=10) | 44.44%(n=8) | 18 | ||
| Reason for tobacco use | Curiosity | 45.45% (n=10) | 54.45%(n=12) | 22 | 93.22 (p<0,000) |
| Boredom | 80% (n=4) | 20%(n=1) | 5 | ||
| Environment | 28.26% (n=13) | 71.73%(n=33) | 46 | ||
| Other reasons | 50% (n=5) | 50%(n=5) | 10 | ||
| Total | 32 | 51 | 83 | ||
Figure 2distribution of cannabis use and level of consumption according to the CAST questionnaire
chi-square test of independence between the cast questionnaire and certain factors such as gender, social life, and the level of education
| CAST | Total | Chi-square (p-value) | |||
|---|---|---|---|---|---|
| CAST ≤6 | CAST ≥7 | ||||
| Gender | Male | 8%(n=4) | 92%(n=46) | 50 | 0.35 (p<0.56) |
| Female | 0%(n=0) | 100%(n=4) | 4 | ||
| Social living | Alone | 33.33%(n=1) | 66.66%(n=2) | 3 | 3.11 (p<0.05) |
| With the family | 6%(n=3) | 94.11%(n=48) | 51 | ||
| Educational level | Never in school | 100%(n=1) | 0%(n=0) | 1 | 13.11 (p<0.004) |
| Primary | 0%(n=0) | 100% (n=5) | 5 | ||
| Secondary | 7.40% (n=2) | 92.59%(n=25) | 27 | ||
| University | 4.76%(n=1) | 95.23%(n=20) | 21 | ||
| Total | 4 | 50 | 54 | ||
Figure 3distribution of alcohol consumption and level of consumption according to the AUDIT scale
chi-square test of independence between the audit questionnaire and certain factors such as gender, environment, and history of suicide attempts
| Audit | Total | Chi-square (p-value) | |||
|---|---|---|---|---|---|
| Audit≥ 12 (11 for woman) | Audit≤ 8 ( 7 for woman) | ||||
| Gender | Male | 65.51%(n=19) | 34.48%(n=10) |
|
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| Female | 80%(n=4) | 20%(n=1) |
| ||
| Area | Urban | 63.33%(n=19) | 36.66%(n=11) | 30 | 2.16 (p<0.06) |
| Rural | 100%(n=4) | 0%(n=0) | 4 | ||
| Attempted suicide | Yes | 90%(n=9) | 10%(n=1) | 10 | 3.23 (p<0.05) |
| No | 58.33%(n=14) | 41.66%(n=10) | 24 | ||
| Total | 23 | 11 | 34 | ||