| Literature DB >> 32895275 |
Charlene Troiani do Nascimento1, Danilo Zangirolami Pena1, Rogério Giuffrida1, Fernanda Nobre Bandeira Monteiro1, Francisco Assis da Silva1, Edilson Ferreira Flores2, Luiz Euribel Prestes-Carneiro3.
Abstract
OBJECTIVE: To determine the prevalence and epidemiological characteristics of inmates diagnosed with infectious diseases living in a region with a high number of prisons, São Paulo, Brazil.Entities:
Keywords: epidemiology; general medicine (see internal medicine); geographical mapping; public health
Mesh:
Year: 2020 PMID: 32895275 PMCID: PMC7476464 DOI: 10.1136/bmjopen-2020-037045
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Geospatial location of Brazil and São Paulo state (A), the northwestern and western regions (B) and municipalities where the prisons were constructed (C) 1: Andradina; 2: Assis; 3: Dracena; 4: Flórida paulista; 5: Florínea; 6: Irapuru; 7: Junqueirópolis; 8: Lavínia (three units); 9: Lucelia; 10: Marabá paulista; 11: Martinópolis; 12: Mirandópolis (two units); 13: Osvaldo cruz; 14: Pacaembu; 15: Paraguaçu paulista; 16: Pracinha; 17: Presidente Bernardes; 18: Presidente Prudente; 19: Presidente Venceslau (two units); 20: Riolândia; 21: Tupi paulista (two units); 22: Valparaíso; 23: Caiuá; 24: Icém; 25: nova Independência; 26: São José do Rio Preto; 27: Araçatuba; 28: Birigui. Bars represent the number of cases of infectious diseases in each prison. Colors represent the interval number of inmates in each municipality. Stars represent the number of prisons in each municipality. Current shape file databases and base maps were downloaded from the IBGE website.
Clinical, epidemiological characteristics and related to the treatment of infectious diseases and time of incarceration of 741 inmates diagnosed with infectious diseases in prisons in the western and northwestern regions of São Paulo state, Brazil, 2018
| Variable | Individuals (n=741) | |
| Male, n (%) | Female, n (%) | |
| Age | ||
| 18–20 years | 16 (2.16) | |
| 21–30 years | 248 (33.47) | 1 (0.13) |
| 31–40 years | 238 (32.12) | 1 (0.13) |
| 41–50 years | 139 (18.76) | 1 (0.13) |
| 51–60 years | 64 (8.64) | |
| ≥61 years | 9 (1.22) | |
| Not known | 24 (3.24) | |
| Schooling | ||
| Illiterate | 19 (2.56) | |
| Incomplete elementary school | 350 (47.24) | 1 (0.13) |
| Complete elementary school | 127 (17.14) | 1 (0.13) |
| Incomplete high school and/or technical education | 123 (16.60) | |
| Complete high school and/or technical education | 69 (9.32) | 1 (0.13) |
| Incomplete university | 11 (1.49) | |
| University graduate | 8 (1.08) | |
| Not known | 31 (4.18) | |
| Sexual behaviour | ||
| Heterosexual | 567 (76.52) | 3 (0.39) |
| Homoaffective | 88 (11.88) | |
| Bisexual | 33 (4.46) | |
| Not known | 50 (6.75) | |
| Marital status | ||
| Single | 336 (45.35) | 1 (0.13) |
| Married | 305 (41.16) | |
| Divorced | 53 (7.16) | 1 (0.13) |
| Widow | 15 (2.03) | 1 (0.13) |
| Not informed | 29 (3.91) | |
| Number of sons | ||
| None | 285 (38.46) | |
| 1–2 | 219 (29.57) | 3 (0.39) |
| 3–4 | 86 (11.61) | |
| ≥5 | 32 (4.32) | |
| Not known | 116 (15.65) | |
| Treatment | ||
| Never treated | 73 (9.61) | |
| Abandoned treatment | 14 (1.84) | |
| Complete treatment | 99 (13.02) | |
| Treatment up to 2000 | 29 (3.81) | 1 (0.13) |
| Treatment 2001–2010 | 63 (8.29) | |
| Treatment since 2011 | 464 (61.06) | 2 (0.26) |
| Not known | 15 (1.98) | |
| How long incarcerated | ||
| <1 year | 319 (43.07) | 3 (0.39) |
| 1–5 years | 297 (40.08) | |
| 6–10 years | 48 (6.48) | |
| 11–20 years | 32 (4.32) | |
| >20 years | 17 (2.29) | |
| Not known | 25 (3.37) | |
| Imprisonment | ||
| First | 179 (24.17) | 3 (0.39) |
| Previous | 429 (57.90) | |
| Not known | 130 (17.54) | |
Association between HIV and coinfections in 741 prison inmates in the western and northwestern regions of São Paulo state, Brazil, 2018
| Disease | HIV | OR | 95% CI | P value | ||
| Positive, n (%) | Negative, n (%) | Total, n (%) | ||||
| Hepatitis | ||||||
| Positive | 27 (0.07) | 107 (0.29) | 134 (0.36) | 30.9 | 19.1 to 48.2 | <0.001 |
| Negative | 303 (0.81) | 37 060 (98.83) | 37 363 (99.64) | |||
| Total | 330 (0.88) | 37 167 (99.12) | 37 497 (100.0) | |||
| Tuberculosis | ||||||
| Positive | 14 (0.04) | 252 (0.67) | 266 (0.71) | 6.4 | 3.5 to 11.3 | <0.001 |
| Negative | 316 (0.84) | 36 915 (98.45) | 37 231 (99.29) | |||
| Total | 330 (0.88) | 37 167 (99.12) | 37 497 (100.00) | |||
| Syphilis | ||||||
| Positive | 39 (0.10) | 78 (0.21) | 117 (0.31) | 63.7 | 41.4 to 96.7 | <0.001 |
| Negative | 291 (0.78) | 37 089 (98.91) | 37 380 (99.69) | |||
| Total | 330 (0.88) | 37 167 (99.12) | 37 497 (100.00) | |||
P, statistical significance for the hypothesis that OR differs statistically from 0.
Figure 2Forest plot for prevalence estimates of inmates diagnosed with TB in prisons located in the western and northwestern region of São Paulo state. MP, mean prevalence.
Figure 3Forest plot for prevalence estimates of inmates diagnosed with HIV in prisons located in the western and northwestern region of São Paulo state. MP, mean prevalence.