| Literature DB >> 27855664 |
Torill Vassli Sallaup1,2, Arne Einar Vaaler3,4, Valentina Cabral Iversen3,4, Ismail Cuneyt Guzey3,4.
Abstract
BACKGROUND: This study examines sex differences in substance use and substance use disorder in the acute psychiatric department, and possible interactions between sex and clinical and social factors associated with this phenomenon.Entities:
Keywords: Acute psychiatry; Sex differences; Substance use; Substance use disorders
Mesh:
Year: 2016 PMID: 27855664 PMCID: PMC5114750 DOI: 10.1186/s12888-016-1124-y
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Characteristics of respondents by sex and SUD
| Characteristics | Total | Women | Men | Interactions | ||||||
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| SUD | SUD | SUD | ||||||||
| Yes | No | Yes | No | Yes | No | |||||
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| Age, quartiles | ||||||||||
| • 18–25 | 38 (27.1) | 58 (23.9) | 15 (33.3) | 37 (26.2) | 23 (24.2) | 21 (20.6) | ||||
| • 26–37 | 38 (27.1) | 59 (24.3) | 14 (31.4) | 35 (24.8) | 24 (25.3) | 24 (23.5) | ||||
| • 38–49 | 43 (30.7) | 55 (22.6) | 12 (26.7) | 29 (20.6) | 31 (32.6) | 26 (25.5) | ||||
| • 50 + | 21 (15) | 71 (29.2) | .045 | 4 (8.9) | 40 (28.4) | .067 | 17 (17.9) | 31 (30.4) | .224 | |
| Marital status | ||||||||||
| • Living with a partner | 25 (17.9) | 69 (28.7) | 8 (17.8) | 38 (27.3) | 17 (17.9) | 31 (30.7) | ||||
| • Living alone | 115 (82.1) | 171 (71.3) | .144 | 37 (82.2) | 101 (72.7) | .120 | 78 (82.1) | 70 (69.3) | .420 | |
| Parental responsibility | ||||||||||
| • Yes | 30 (21.4) | 64 (26.3) | 4 (8.9) | 37 (28.1) | 26 (27.4) | 27 (26.5) | ||||
| • No | 110 (78.6) | 179 (73.7) | .048* | 37 (91.1) | 104 (71.9) | .013* | 69 (72.6) | 75 (73.5) | .887 | <.001* |
| Education | ||||||||||
| • Primary school | 73 (52.1) | 94 (39.2) | 20 (44.4) | 57 (41) | 53 (55.8) | 37 (36.6) | .001* | |||
| • High school | 53 (37.9) | 106 (44.2) | 18 (40) | 61 (43.9) | 35 (36.8) | 45 (44.6) | <.001* | |||
| • College/university | 14 (10) | 40 (16.7) | .029* | 7 (15.6) | 21 (15.1) | .806 | 7 (7.4) | 19 (18.8) | .009* | - |
| Employment | ||||||||||
| • Labour | 38 (29.7) | 46 (20.7) | 12 (28.6) | 29 (22.7) | 26 (30.2) | 17 (18.1) | ||||
| • Benefits/pension | 90 (70.3) | 176 (79.3) | .069 | 30 (71.4) | 99 (77.3) | .533 | 60 (69.8) | 77 (81.9) | .079 | |
| Legal status, admission | ||||||||||
| • Coercion | 41 (29.3) | 46 (19.2) | 14 (31.1) | 26 (18.8) | 27 (28.4) | 20 (19.8) | ||||
| • Voluntarily | 99 (70.7) | 193 (80.8) | .031* | 31 (68.9) | 112 (81.2) | .098 | 68 (71.6 | 81 (80.2) | .182 | |
p 1 estimated by Pearsons chi square tests. Interaction test by bivariate (a*b) logistic regression. Significance level p ≤ .05
* statistically significant SUD substance use disorder
Recent use of substances and previous and current SUD between sexes
| Women | Men | Comparison between sexes | ||
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| Previously diagnosed SUD | 35 (18.8%) | 71 (35.9%) | 13.369 | < .001* |
| Assessed as influenced by substances at admission | 41 (22%) | 53 (26.8%) | 1.095 | .295 |
| Reported recent substance intake | 58 (28.8%) | 99 (50) | 18.413 | < .001* |
| Positive toxicology screening | 91 (48.9%) | 103 (52) | .368 | .544 |
| Diagnosed SUD at discharge | 44 (23.7%) | 92 (46.5) | 24.485 | < .001* |
| • Alcohol use disorder | 22 (11.8%) | 38 (19.2) | 4.610 | .032* |
| • Prescription drug use disorder | 7 (3.8%) | 5 (2.5) | .019 | .890 |
| • Illegal drug use disorder | 15 (7.6%) | 49 (24.8) | 20.329 | < .001* |
(%) within gender. Calculations of ratio. x 2 estimated by Pearson’s chi-squared test. Significance level p ≤ .05, * statistically significant. SUD substance use disorder
Positive screening of prescribed prescription drugs between sexes
| Variable | Women | Men | ||
|---|---|---|---|---|
| Positive screening prescription drugs | Non- prescribed (% of positive tests) | Positive screening prescription drugs | Non- prescribed (% of positive tests) | |
| At least one of the following | 90 (48.4%) | 38 (43.7%) | 88 (43.4%) | 33 (36.3%) |
| Benzodiazepine derivatives | 59 (31.7%) | 25 (42.4%) | 60 (30.3%) | 25 (41.6%) |
| Zopiclone | 23 (12.4%) | 9 (39.1%) | 17 (8.6%) | 4 (23.5%) |
| Morphine | 3 (1.6%) | 1 (33.3%) | 2 (1%) | - |
| Codeine | 5 (2.7%) | 3 (60%) | 6 (3%) | 1 (16.6%) |
| Methadone | - | - | 3 (1.5%) | 3 (100) |
()% within sex and within positive tests