| Literature DB >> 25181954 |
Neilane Bertoni, Chantal Burnett, Marcelo Santos Cruz, Tarcisio Andrade, Francisco I Bastos, Erotildes Leal, Benedikt Fischer.
Abstract
INTRODUCTION: Studies have shown important gender differences among drug (including crack) users related to: drug use patterns; health risks and consequences; criminal involvement; and service needs/use. Crack use is prevalent in Brazil; however, few comparative data by sex exist. We examined and compared by sex key drug use, health, socio-economic indicators and service use in a bi-city sample of young (18-24 years), regular and marginalized crack users in Brazil.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25181954 PMCID: PMC4243730 DOI: 10.1186/s12939-014-0070-x
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Socio-demographic characteristics, employment status, income generation and arrest history of sample, by sex
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| 20.7(2.1) | 21.6(2.2) | 2.174* | |
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| 0.3905 | 0.532 | ||
| White | 11 (9.0) | 2 (5.7) | ||
| Non-White/Other | 111 (91.0) | 33 (94.3) | ||
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| 0.6712 | 0.413 | ||
| Single/separ/div/widow | 100 (80.6) | 26 (74.3) | ||
| Married or cohabitating | 24 (19.4) | 9 (25.7) | ||
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| 0.1736 | 0.677 | ||
| Some elementary school or less | 102 (82.3) | 29 (85.3) | ||
| Completed elementary school or higher | 22 (17.7) | 5 (14.7) | ||
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| 13.2492* | 0.000 | ||
| Stable housing | 71 (57.7) | 8 (22.9) | ||
| Unstable housing or homeless | 52 (42.3) | 27 (77.1) | ||
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| Formal or informal transfers (e.g., social assistance, money from family/friends) | 35 (28.2) | 10 (28.6) | 0.0016 | 0.968 |
| Paid employment/work | 82 (66.1) | 6 (17.1) | 26.503*** | 0.000 |
| Illegal activities (including drug-related work) | 25 (20.2) | 4 (11.4) | 1.396 | 0.237 |
| Sex work | 3 (2.4) | 16 (45.7) | 48.627*** | 0.000 |
| Begging/panhandling | 19 (15.3) | 14 (40.0) | 10.107*** | 0.001 |
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| Detained by police (past year) | 56 (45.2) | 11 (31.4) | 2.111 | 0.146 |
*p < 0.05, **p < 0.01, ***p < 0.001.
aSubjects with missing data not included. [30]: in the last 30 days.
Crack and other drug use characteristics of sample, by sex
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| Number of years of crack use | 4.0 (3.0) | 4.9 (3.4) | 1.547 | |
| Number of crack rocks used per typical day | 10.1 (10.5) | 8.3 (5.9) | 0.925 | |
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| Daily crack use [ | 66 (53.2) | 24 (68.6) | 2.617 | 0.106 |
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| Smoking mixed crack and tobacco | 7 (5.7) | 2(5.7) | 0.0002 | 0.988 |
| Smoking mixed crack and marijuana | 29 (23.4) | 1 (2.9) | 7.5154* | 0.006 |
| Smoking crack using a can | 8 (6.5) | 2 (5.7) | 0.0252 | 0.874 |
| Smoking crack using a plastic cup | 50(40.3) | 22 (62.9) | 5.5941* | 0.018 |
| Smoking crack using a pipe | 28(22.6) | 8 (22.9) | 0.00123 | 0.972 |
| Shared crack smoking implements [ | 72 (62.1) | 21 (60.0) | 0.0487 | 0.825 |
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| Alcohol | 68 (55.7) | 9 (25.7) | 9.8100** | 0.002 |
| Tobacco | 97 (78.2) | 31 (88.6) | 1.8614 | 0.172 |
| Marijuana | 88 (71.5) | 18 (51.4) | 4.9936* | 0.025 |
| Amphetamines or LSD | 0 (0.0) | 0 (0.0) | - | - |
| Cocaine | 55 (45.8) | 4 (11.4) | 13.6049*** | 0.000 |
| Benzodiazepines | 3 (2.4) | 0 (0.0) | 0.8702 | 0.351 |
| Opioids | 0 (0.0) | 0 (0.0) | - | - |
| Inhalants/Solvents | 4 (3.4) | 2 (5.9) | 0.4325 | 0.511 |
*p < 0.05, **p < 0.01, ***p < 0.001.
asubjects with missing data not included. [30]: in the last 30 days.
Health risk, status and service utilization characteristics of sample, by sex
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| Had sex without a condom [ | 75 (60.5) | 22 (62.9) | 0.0646 | 0.799 |
| Had sex in exchange for drugs in [ | 5 (4.0) | 10 (28.6) | 19.2377*** | 0.000 |
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| Drug overdose [ | 8 (6.5) | 1 (2.9) | 0.6257 | 0.429 |
| Injection drug use (lifetime) | 2 (1.6) | 0 (0.0) | 0.5717 | 0.450 |
| Oral sores/injuries [ | 18 (14.8) | 5 (14.3) | 0.0048 | 0.945 |
| Ever tested for HIV | 27 (22.3) | 26 (76.5) | 34.5957*** | 0.000 |
| HIV + (serology) | 5 (4.1) | 6 (18.9) | 7.8139** | 0.005 |
| Ever tested for Hep C | 9 (7.6) | 18 (60.0) | 43.9874*** | 0.000 |
| Hep C + (HCVAB serology) | 0 (−) | 1 (3.0) | 3.7210 | 0.054 |
| Hep B serology | 17 (13.9) | 9 (28.1) | 3.6379 | 0.056 |
| Hep A serology | 99 (81.2) | 29 (90.6) | 1.6227 | 0.203 |
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| 52 (42.6) | 16 (45.7) | 1.0754 | 0.584 |
| Received medical attentionb | 7 (12.7) | 5 (31.3) | 3.0277 | 0.082 |
| Would like to receive medical attentionb | 40 (78.4) | 12 (75.0) | 3.1357 | 0.077 |
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| 0.5902 | 0.422 | ||
| ‘Good’ or better | 49 (41.5) | 12 (34.3) | ||
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| 58 (46.8) | 15 (42.9) | 0.8137 | 0.666 |
| Received medical attentionb | 1 (1.75) | 0 (−) | 0.2491 | 0.618 |
| Would like to receive medical attentionb | 38 (66.7) | 10 (71.4) | 0.1164 | 0.733 |
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| 4.4885* | 0.034 | ||
| ‘Good’ or better | 63 (52.9) | 11 (32.4) | ||
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| Accessed social, health or drug treatment services [ | 37 (29.8) | 20 (57.1) | 8.8485** | 0.003 |
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| Social services | 24 (19.5) | 16 (45.7) | 9.8937** | 0.002 |
| Health services | 12 (10.4) | 8 (22.9) | 4.2299* | 0.040 |
| Drug treatment service used [ | 3 (3.2) | 2 (6.5) | 0.6654 | 0.415 |
| Would use service for DU’s, if available. | 98 (79.0) | 27 (77.1) | 0.2578 | 0.879 |
*p < 0.05, **p < 0.01, ***p < 0.001.
amissing values.
bof those who reported problems.
Cincludes multiple responses. [30]: in the last 30 days
Figure 1Results of chi-squared automatic interaction detector (CHAID) model for study sample with ‘sex’ as dependent outcome variable.