| Literature DB >> 35801071 |
Armin Sljivo1, Fatima Gavrankapetanovic Smailbegovic2, Ahmed Mulać3, Ilma Dadic3, Alma Kubat4, Iman Sirucic1.
Abstract
Background: Mental health, substance abuse and suicidal ideation present an emerging healthcare problem during COVID-19 pandemic as a result of socio-epidemiological measures, isolations, work modifications, constant media overload with COVID-19 related news and no effective cure for the disease. Objective: The aim of this study was to analyse substance abuse, suicidal ideation and mental health status among university students during the COVID-19 outbreak in Bosnia and Herzegovina.Entities:
Keywords: COVID-19; anxiety; depression; mental health; substance-related disorders
Year: 2022 PMID: 35801071 PMCID: PMC9229363 DOI: 10.5455/msm.2022.33.8-13
Source DB: PubMed Journal: Mater Sociomed ISSN: 1512-7680
Sex, education level, occupation, living environment and COVID-19 related factors of subjects with and without anxiety symptoms and with or without depressive symptoms
| Variables | Subjects with anxiety symptoms N=298 | Subjects without anxiety symptoms N=529 | Subjects with depressive symptoms N=263 | Subjects without depressive symptoms N=564 |
|---|---|---|---|---|
| Sex | ||||
| Female | 248 (83.2%) | 388 (73.3%) | 205 (77.9%) | 431 (76.4%) |
| Male | 50 (16.8%) | 141 (26.7%) | 58 (22.1%) | 133 (23.6%) |
| Education level | ||||
| High school | 157 (52.7%) | 274 (51.8%) | 143 (54.4%) | 288 (51.1%) |
| Bachelor’s degree | 96 (32.2%) | 166 (31.3%) | 83 (31.5%) | 179 (31.7%) |
| Master’s degree | 43 (14.4%) | 77 (14.5%) | 36 (13.7%) | 84 (14.9%) |
| PhD degree | 2 (0.7%) | 12 (2.4%) | 1 (0.4%) | 13 (2.3%) |
| Occupation | ||||
| Unemployed | 216 (72.4%) | 371 (70.2%) | 204 (77.5%) | 383 (68.2%) |
| Employed | 82 (27.6%) | 158 (29.8%) | 59 (22.5%) | 181 (31.8%) |
| Living environment | ||||
| Urban environment | 267 (89.6%) | 480 (90.7%) | 240 (91.2%) | 507 (89.9%) |
| Rural environment | 31 (10.4%) | 49 (9.3%) | 23 (8.8%) | 57 (9.1%) |
| COVID-19 related factors | ||||
| COVID-19 diagnosis | 68 (22.8%) | 91 (17.2%) | 51 (19.4%) | 108 (19.1%) |
| COVID-19 testing | 117 (39.3%) | 176 (33.3%) | 90 (34.2%) | 203 (36.0%_ |
| At least one COVID-19 symptoms | 118 (39.6%) | 150 (28.3%) | 102 (38.8%) | 166 (29.4%) |
| COVID-19 positive friend | 189 (63.4%) | 331 (62.6%) | 163 (61.9%) | 357 (63.3%) |
Independent predictors associated with the development of anxiety and depressive symptoms, suicidal ideas and TSRD during the COVID-19 outbreak in the country determined by binary logistic regression models
| Variables | Odds ratio | 95% CI | p-value |
|---|---|---|---|
| Anxiety symptoms in association with COVID-19 | |||
| Female sex vs male sex | 1.643 | 1.024-2.635 | 0.040 |
| Sedative consumption (yes vs no) | 1.519 | 1.230-1.876 | <0.001 |
| COVID-19 diagnosis (yes vs no) | 1.594 | 1.010-2.517 | 0.045 |
| Depressive symptoms (yes vs no) | 8.060 | 5.473-11.871 | <0.001 |
| Positive IES-6 test score (yes vs no) | 2.190 | 1.771-2.708 | <0.001 |
| The model was not statistically significant X2=5.088, p=0.748; it explained 46.8% (Nagelkerke R2) and correctly classified 80.0% of cases. | |||
| Depressive symptoms in association with COVID-19 | |||
| Female sex (yes vs no) | 1.643 | 1.042-2.589 | 0.032 |
| Sedative consumption (yes vs no) | 1.250 | 1.023-1.527 | 0.029 |
| Positive IES-6 test score (yes vs no) | 2.013 | 1.623-2.497 | <0.001 |
| Anxiety symptoms (yes/no) | 8.137 | 5.488-12.063 | <0.001 |
| Unemployed vs employed | 2.425 | 1.322-4.451 | 0.004 |
| Alcohol consumption (yes vs no) | 1.251 | 1.014-1.544 | 0.037 |
| The model was not statistically significant X2=6.039, p=0.643; it explained 45.1% (Nagelkerke R2) and correctly classified 80.0% of cases. | |||
| Suicidal ideas in association with COVID-19 | |||
| Sedative consumption (yes vs no) | 1.381 | 1.103-1.731 | 0.005 |
| Alcohol consumption (yes vs no) | 1.493 | 1.154-1.932 | 0.002 |
| Unemployed vs employed | 4.551 | 2.302-8.996 | <0.001 |
| Depressive symptoms (yes vs no) | 7.261 | 3.909-13.489 | <0.001 |
| The model was not statistically significant X2=4.988, p=0.545; it explained 29.5% (Nagelkerke R2) and correctly classified 91.0% of cases. | |||
| TSRD in association with COVID-19 | |||
| Female sex vs male sex | 1.622 | 1.067-2.465 | 0.024 |
| Urban environment vs rural environment | 2.521 | 1.344-4.728 | 0.004 |
| Anxiety symptoms (yes vs no) | 3.143 | 2.158-4.577 | <0.001 |
| Depressive symptoms (yes vs no) | 3.523 | 2.408-5.154 | <0.001 |
| Sedative consumption (yes vs no) | 1.304 | 1.086-1.565 | 0.004 |
| The model was not statistically significant X2=6.294, p=0.506; it explained 31.3% (Nagelkerke R2) and correctly classified 74.8% of cases. |
Cigarette, vaping and alternate heating systems, hookah, marihuana, alcohol, cocaine, amphetamines and sedatives consumption patterns during COVID-19 pandemic in association with mild, moderate and severe psychological distress
| Variables | Mild psychological distress N=227 | Moderate psychological distress N=137 | Severe psychological distress N=118 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Substance usage | L | S | M | L | S | M | L | S | M |
| Cigarette | 24 (10.6%) | 41 (18.1%) | 17 (7.5%) | 11 (8.0%) | 28 (20.4%) | 17 (12.4%) | 10 (8.4%) | 28 (23.7%) | 18 (15.2%) |
| Vaping and alternate heating system | 5 (2.2%) | 7 (3.1%) | 3 (1.3%) | 0 (0.0%) | 7 (5.1%) | 1 (0.7%) | 5 (4.2%) | 5 (4.2%) | 6 (5.0%) |
| Hookah | 22 (9.7%) | 6 (2.6%) | 2 (0.9%) | 7 (5.1%) | 5 (3.5%) | 1 (0.7%) | 14 (11.8%) | 5 (4.2%) | 3 (2.5%) |
| Marihuana | 5 (2.2%) | 13 (5.7%) | 7 (3.1%) | 4 (2.8%) | 5 (3.5%) | 10 (7.2%) | 6 (5.0%) | 8 (6.7%) | 11 (9.3%) |
| Alcohol | 34 (14.9%) | 31 (13.6%) | 12 (5.2%) | 31 (22.6%) | 23 (16.8%) | 8 (5.8%) | 17 (14.4%) | 26 (22.0%) | 10 (8.4%) |
| Cocaine | 1 (0.4%) | 0 (0.0%) | 2 (0.8%) | 2 (1.4%) | 0 (0.0%) | 1 (0.7%) | 3 (2.5%) | 1 (0.8%) | 5 (4.2%) |
| Amphetamines | 2 (0.8%) | 1 (0.4%) | 1 (0.4%) | 1 (0.7%) | 2 (1.4%) | 0 (0.0%) | 5 (4.2%) | 1 (0.8%) | 5 (4.2%) |
| Sedatives | 12 (5.2%) | 23 (10.1%) | 16 (7.0%) | 10 (7.2%) | 2 (1.4%) | 19 (13.8%) | 6 (5.0%) | 16 (13.5%) | 32 (27.1%) |