| Literature DB >> 34769653 |
Elena Cyrus1,2, Jorge Sanchez3, Purnima Madhivanan4,5, Javier R Lama6, Andrea Cornejo Bazo7, Javier Valencia6, Segundo R Leon8, Manuel Villaran6, Panagiotis Vagenas9, Michael Sciaudone10,11, David Vu1, Makella S Coudray1, Frederick L Atice2.
Abstract
BACKGROUND: Globally, there is evidence supporting the co-occurrence of intimate partner violence (IPV), substance use disorders (SUD) and mental health disorders among women in prisons, however, there is limited research investigating these domains in the Andean region where rates of female incarceration have increased. The study objective was to explore the prevalence of IPV, SUD and depression among incarcerated women in a Peruvian prison and explore associations among these variables and related correlates.Entities:
Keywords: Perú; depression; incarceration; substance-use; violence; women
Mesh:
Year: 2021 PMID: 34769653 PMCID: PMC8583326 DOI: 10.3390/ijerph182111134
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Sample characteristics of female Peruvian inmates in Santa Monica Prison, Lima, Perú (n = 249); May–July 2015.
| Median Age in Years | 37 | (Range 18–70) |
|---|---|---|
| Average number of live births | m = 2.7 | (range 0–11) |
| COUNTRY OF ORIGIN |
|
|
| Perú | 293 | 93.50% |
| Mexico | 9 | 3.60% |
| Other | 7 | 2.80% |
| EDUCATION | ||
| No school | 3 | 1.20% |
| Primary school | 49 | 19.10% |
| Secondary school or higher | 196 | 78.70% |
| SEXUAL RISK BEHAVIOR | ||
|
| ||
| Yes | 205 | 82.30% |
| No | 4 | 1.60% |
| Missing | 40 | 16.00% |
|
| ||
| Yes | 28 | 11.20% |
| No | 221 | 88.80% |
|
| ||
| Yes | 47 | 18.80% |
| Sometimes | 36 | 76.50% |
| Always | 11 | 23.50% |
| No | 149 | 59.80% |
| Missing | 53 | 21.20% |
| PRISON SENTENCING | ||
|
| ||
| 0–4 years | 143 | 57.40% |
| 5–9 years | 76 | 30.60% |
| 10–15 years | 30 | 12.00% |
|
| ||
| Yes | 18 | 7.20% |
| No | 231 | 92.80% |
| DEPRESSION a | ||
| Depressive symptoms | 168 | 67.50% |
| None/Minimal depressive symptoms | 81 | 32.50% |
| DRUG USE (DAST-10) b | ||
| No drug use | 183 | 73.50% |
| Ever used drugs | 66 | 26.50% |
| No substance use disorder | 21 | 31.90% |
| Substance use disorder | 45 | 68.10% |
| ALCOHOL USE (AUDIT) c | ||
| No alcohol use | 37 | 17.40% |
| Lower risk drinking | 50 | 23.50% |
| Problematic drinking | 131 | 61.70% |
| Missing | 31 | 14.60% |
| PRISON SUBSTANCE USE | ||
|
| ||
| Yes | 24 | 9.60% |
| No | 225 | 90.30% |
|
| ||
| Marijuana | 14 | 58.30% |
| Cocaine | 12 | 50.00% |
| Pills d | 5 | 20.80% |
|
| ||
| Yes | 18 | 7.20% |
| No | 231 | 92.70% |
|
| ||
| Home made | 12 | 66.70% |
| Spirits | 7 | 38.80% |
| Beer and other | 4 | 22.20% |
| Other | 7 | 38.80% |
a Scores ≥ 10 categorized as depressive symptoms per CESD-10 criteria. b DAST-10 (Drug Abuse Screening Test-10) classification of substance use disorders as scores ≥ 6. c AUDIT (Alcohol Use Disorder Identification Test) classification of problematic drinking defined as scores ≥ 7. d For treatment of depression or sleep disorders.
Frequency of Intimate Partner Violence (IPV) by categories among incarcerated Peruvian Women (N = 212); May–July 2015.
| n | % | |
|---|---|---|
|
| ||
| No threat | 65 | 30.6 |
| Low/Moderate threat | 73 | 34.4 |
| Strong threat | 74 | 34.9 |
|
| ||
| No abuse | 59 | 27.8 |
| Low/Moderate abuse | 82 | 38.7 |
| Severe abuse | 71 | 33.5 |
|
| ||
| Demanded sex | 60 | 28.3 |
| Forced oral sex | 26 | 12.3 |
| Forced sexual intercourse | 42 | 19.8 |
| Rape | 39 | 18.4 |
| Forced anal sex | 18 | 8.5 |
| Forced to use object in a sexual way | 8 | 3.8 |
* Note: These numbers do not total 100%.
Bivariate associations of selected risk factors for SAVA syndemic (n = 249).
| Threat of Violence | Physical Violence | Sexual Aggression | Total IPV | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes |
| No | Yes |
| No | Yes |
| No | Yes |
| |
| Depression | 68.1% | 65.3% | 0.73 |
|
|
| 66.3% | 71.2% | 0.48 | 70.2% | 66.7% | 0.89 |
| Hazardous/Harmful alcohol use pre-incarceration | 72.0% | 64.3% | 0.47 | 64.5% | 64.8% | 0.97 | 62.8% | 70.5% | 0.35 | 63.3% | 64.9% | 0.87 |
| Ever used illicit drugs pre-incarceration | 40.4% | 28.0% | 0.12 | 27.2% | 29.9% | 0.65 | 26.8% | 32.2% | 0.42 | 21.7% | 30.2% | 0.18 |
| HIV/STI | 8.5% | 8.5% | 0.99 | 8.0% | 6.9% | 0.75 | 6.8% | 10.2% | 0.40 | 5.3% | 8.3% | 0.44 |
| Commercial sex work pre-incarceration | 17.0% | 9.3% | 0.16 | 9.3% | 14.9% | 0.18 |
|
|
| 10.5% | 11.5% | 0.84 |
| Condom Use pre-incarceration | 26.5% | 26.3% | 0.98 | 26.8% | 19.2% | 0.23 | 25.5% | 19.6% | 0.39 | 30.6% | 22.5% | 0.30 |
bold and * significant at α < 0.05.
Results for linear regression models examining associations between violence and substance use among female Peruvian inmates with partners (n = 212).
| Threats of Violence | Physical Violence | Sexual Aggression | Total IPV | |||||
|---|---|---|---|---|---|---|---|---|
| RR (95% CI) | aRR (95% CI) | RR (95% CI) | aRR (95% CI) | RR (95% CI) | aRR (95% CI) | RR (95% CI) | aRR (95% CI) | |
| Age in years | - | 1.01 (0.93–1.03) | - | 1.02 (0.99–1.05) | - | 1.01 (0.94–1.02) | - | 1.01 (0.98–1.02) |
| Education | - | 0.94 (0.71–1.23) | - | 1.06 (0.98–1.16) | - | 0.99 (0.91–1.06) | - | 1.05 (0.98–1.12) |
| Depression | 0.91 (0.54–1.49) | 0.90 (0.54–1.49) |
|
| 1.05 (0.91–1.21) | 0.93 (0.93–1.25) | 1.03 (0.86–1.19) | 1.03 (0.90–1.25) |
| AUDIT (alcohol) | 1.33 (0.61–2.94) | 1.20 (0.54–2.70) | 0.99 (0.78–1.28) | 1.02 (0.80–1.29) | 0.92 (0.78–1.08) | 0.91 (0.78–1.07) | 0.99 (0.89–1.16) | 1.01 (0.88–1.16) |
| DAST-10 (drugs) | 0.74 (0.42–1.09) | 0.69 (0.41–1.13) | 1.04 (0.85–1.23) | 1.04 (0.84–1.28) | 1.06 (0.91–1.25) | 1.12 (0..95–1.31) | 0.90 (0.80–1.03) | 0.92 (0.80–1.06) |
bold and * significant at α < 0.05.