| Literature DB >> 35194696 |
Véronique Jaquier1, Carole Clair2, Aurélie Augsburger3, Céline Neri4, Patrick Bodenmann5, Bruno Gravier4.
Abstract
BACKGROUND: Women make up 5% of the European prison population on average. Almost invisible in prison and health research, and suffering the stigma associated with female offending, incarcerated women are often forgotten, and their specific healthcare needs remain much ignored. Combining face-to-face survey interviews and medical chart data, we aim to assess the health status, healthcare needs, and access to preventive medicine of women incarcerated in Switzerland.Entities:
Keywords: Disparities; Gender; Incarcerated women; Prison; Women’s health
Year: 2022 PMID: 35194696 PMCID: PMC8864867 DOI: 10.1186/s40352-022-00171-z
Source DB: PubMed Journal: Health Justice ISSN: 2194-7899
Incarcerated Women’s Sociodemographics, Custodial Regime and Prison History (n = 60)
| Variables | Study sample | |
|---|---|---|
| % | ||
| Mean age ( | 34.3 | 9.8 |
| Country of birth | ||
| Switzerland | 27 | 45.0 |
| Europe | 20 | 33.3 |
| African continent | 9 | 15.0 |
| Other countries | 2 | 3.3 |
| Nonresponse | 2 | 3.3 |
| Marital status | ||
| Single | 31 | 51.7 |
| Married | 7 | 11.7 |
| Separated/divorced | 17 | 28.3 |
| Widowed | 5 | 8.3 |
| Motherhood | ||
| Any children | 38 | 63.3 |
| Children under 18 | 31 | 51.7 |
| Mothers’ mean age ( | 36.7 | 10.7 |
| Highest educational qualification | ||
| Less than mandatory education | 16 | 26.7 |
| Mandatory education | 17 | 28.3 |
| Apprenticeship | 17 | 28.3 |
| High school degree | 5 | 8.3 |
| University degree | 5 | 8.3 |
| Employment status, last 6 months prior to incarceration | ||
| Not working | 41 | 68.3 |
| Working, part-time (< 5 days a week) | 7 | 11.7 |
| Working, full-time | 12 | 20.0 |
| Monthly household income, time of incarceration a | ||
| 0–3000 CHF | 42 | 70.0 |
| 3001–6000 CHF | 9 | 15.0 |
| 6001–8000 CHF | 3 | 5.0 |
| > 8000 CHF | 2 | 3.3 |
| Does not know | 3 | 5.0 |
| Nonresponse | 1 | 1.7 |
| Current custodial regime | ||
| Pre-trial detention | 24 | 40.0 |
| Anticipatory execution of prison sentence | 7 | 11.7 |
| Serving short prison sentence (< 12 months) | 13 | 21.7 |
| Serving prison sentence | 16 | 26.7 |
| Working in prison (% yes) | 53 | 88.3 |
| Prison trajectory | ||
| Median length for prison stays at time of survey (in days; | 65.0 | 27.8 |
| First prison stay (% yes) | 34 | 56.7 |
| Mean number of previous prison stays( | 2.1 | 2.2 |
| Incarcerated as a minor (% yes) | 10 | 16.7 |
a10 CHF (Swiss franc) = 9.95 US dollars
Incarcerated Women’s Health Status and Problems According to Survey and Medical Charts Data (n = 60)
| Variables | Study sample | |
|---|---|---|
| % | ||
| Self-reported health status | ||
| Very good | 9 | 15.0 |
| Good | 14 | 23.3 |
| Fairly good | 18 | 30.0 |
| Poor | 12 | 20.0 |
| Very poor | 7 | 11.7 |
| Felt actual pain on the day of the survey (% yes) | 39 | 65.0 |
| Felt that incarceration worsened health (% yes) a | 41 | 68.3 |
| Self-reported any health problems (% yes) | 37 | 61.7 |
| Physical health problems, STIs excluded (% yes) | 29 | 48.3 |
| STIs (% yes) | 8 | 13.3 |
| Mental health problems (% yes) | 26 | 43.3 |
| Physical and mental health problems (% yes) | 21 | 35.0 |
| BMI (kg/m2) | ||
| | ||
| Mean BMI ( | 24.9 | 5.7 |
| BMI category | ||
| Underweight | 7 | 11.7 |
| Normal Weight | 25 | 41.7 |
| Overweight | 15 | 25.0 |
| Obesity | 9 | 15.0 |
| No data | 4 | 6.7 |
| | ||
| Mean BMI ( | 24.1 | 5.7 |
| BMI category | ||
| Underweight | 7 | 11.7 |
| Normal Weight | 28 | 46.7 |
| Overweight | 9 | 15.0 |
| Obesity | 9 | 15.0 |
| No data | 7 | 11.7 |
| Blood pressure (mmHg) | ||
| | ||
| Mean systolic ( | 118.0 | 12.5 |
| Mean diastolic ( | 76.7 | 9.9 |
| | ||
| Mean systolic ( | 117.4 | 14.4 |
| Mean diastolic ( | 78.2 | 9.6 |
| Anxiety severity (GAD-7) | ||
| Minimal or not anxious | 15 | 25.0 |
| Mild | 14 | 23.3 |
| Moderate | 12 | 20.0 |
| Moderately severe | 18 | 30.0 |
| Nonresponse | 1 | 1.7 |
| Depression severity (PHQ-9) | ||
| Minimal or not depressed | 8 | 13.3 |
| Mild | 13 | 21.7 |
| Moderate | 12 | 20.0 |
| Moderately severe | 14 | 23.3 |
| Severe | 12 | 20.0 |
| Nonresponse | 1 | 1.7 |
| Perceived stress severity (PSS-10) | ||
| Low | 14 | 23.3 |
| Moderate | 35 | 58.3 |
| High | 10 | 16.7 |
| Nonresponse | 1 | 1.7 |
aData available for 59 women
bData available for 57 women
Incarcerated Women’s Self-Reported Health-Risk Behaviours Prior to and During Incarceration (n = 60)
| Variables | Study sample | |
|---|---|---|
| % | ||
| Smoking status | ||
| Non-smoker | 9 | 15.0 |
| Former smoker | 3 | 5.0 |
| Active smoker | 47 | 78.3 |
| Nonresponse | 1 | 1.7 |
| Felt tobacco use increased since incarceration (% yes) a | 29 | 61.7 |
| Nicotine dependence (FTND) a | ||
| Low dependence | 5 | 8.3 |
| Low to moderate dependence | 10 | 16.7 |
| Moderate dependence | 24 | 40.0 |
| High dependence | 5 | 8.3 |
| Partial assessment | 3 | 6.4 |
| Alcohol use prior to incarceration (% yes) b | 38 | 64.4 |
| Levels of risk for alcohol use problems prior to incarceration (AUDIT) c | ||
| Low risk | 20 | 52.6 |
| Drinking in excess of low risk guidelines | 4 | 10.5 |
| Harmful and hazardous drinking | 6 | 15.8 |
| Possible alcohol dependence | 8 | 21.1 |
| Alcohol use in prison (% yes) b | 4 | 6.8 |
| Drug use prior to incarceration (% yes) b | 29 | 49.2 |
| Levels of risk for drug use problems prior to incarceration (DAST-10) d | ||
| Low level | 5 | 17.2 |
| Moderate level | 6 | 20.7 |
| Substantial level | 12 | 41.4 |
| Severe level | 6 | 20.7 |
| Drug use in prison (% yes) b | 5 | 8.3 |
| Prostitution experience prior to incarceration (% yes) e | 8 | 13.3 |
| Sexual activity during incarceration (% yes) b | 7 | 11.9 |
| Self-reported physical activity in prison b | ||
| More active than before incarceration | 6 | 10 |
| As active as before incarceration | 6 | 10 |
| Less active than before incarceration | 46 | 76.7 |
| Doesn’t know | 1 | 1.7 |
aPercentages calculated on the number of active smokers, n = 47
bData available for 589 women
cPercentages calculated on the number of women who drank prior to incarceration, n = 38
dPercentages calculated on the number of women who used drug prior to incarceration, n = 29
fData available for 58 women
Incarcerated Women’s Use of Medication and Healthcare History According to Medical Charts Data (n = 60)
| Variables | Study sample | |
|---|---|---|
| % | ||
| Use of medication (% yes) | 51 | 85.0 |
| For a physical health condition (% yes) | 30 | 50.0 |
| For a mental health condition incl. Substitution therapy (% yes) | 49 | 81.7 |
| For both physical and mental health conditions (% yes) | 28 | 46.7 |
| Medication administered under medical surveillance a | ||
| Substitution therapy (% yes) | 15 | 29.4 |
| Other medication (% yes) | 7 | 13.7 |
| Healthcare for a physical condition | ||
| Only before incarceration (% yes) | 2 | 3.3 |
| Before and during incarceration (% yes) | 31 | 51.7 |
| Only during incarceration (% yes) | 24 | 40.0 |
| Healthcare for a psychiatric condition | ||
| Only before incarceration (% yes) | 2 | 3.3 |
| Before and during incarceration (% yes) | 20 | 33.3 |
| Only during incarceration (% yes) | 30 | 50.0 |
aPercentages calculated on the number of women who were taking medication, n = 51
Fig. 1Incarcerated Women’s Utilization of Prison Healthcare in the Previous 4 Weeks (n = 60)