| Literature DB >> 30379230 |
Jocieli Malacarne1, Ida Viktoria Kolte1, Lais Picinini Freitas1, Jesem Douglas Yamall Orellana2, Maximiliano Loiola Ponte de Souza2, Reinaldo Souza-Santos1, Paulo Cesar Basta1.
Abstract
The Mato Grosso do Sul State (MS) has the second-largest indigenous population and the highest incidence rates of TB among indigenous people in Brazil. However, little is known about the risk factors associated with active TB in indigenous people in the region, especially regarding socioeconomic factors. The aim of this study is to assess the effect of the Family Allowance Program (BFP) and of other predictors of active TB in a high-risk indigenous population in Brazil. We conducted a case-control study with incident TB cases matched by age and by village of residence (1:2 proportion) between March 2011 and December 2012. We used a conditional logistic regression for data analysis. A total of 153 cases and 306 controls were enrolled. The final model included the following risk factors: alcohol consumption (low-risk use OR=2.2; 95% CI 1.1-4.3; risky use OR=2.4; 95% CI 1.0-6.0; dependent/ damaging use OR=9.1; 95% CI 2.9-29.1); recent contact with a TB patient (OR=2.0; 95% CI 1.2-3.5); and male sex (OR=1.9; 95% CI 1.1-3.2). BFP participation (OR=0.5; 95% CI 0.3-0.6) and BCG vaccination (OR=0.5; 95% CI 0.3-0.9) were found to be protective factors against TB. Although the BFP was not designed to target TB-affected households specifically, our findings reveal the importance of the BFP in preventing one of the most important infectious diseases among adults in indigenous villages in Brazil. This result is in line with the End-TB strategy, which identifies social protection, poverty alleviation and targeting other determinants of TB as key actions.Entities:
Mesh:
Year: 2018 PMID: 30379230 PMCID: PMC6201742 DOI: 10.1590/S1678-9946201860063
Source DB: PubMed Journal: Rev Inst Med Trop Sao Paulo ISSN: 0036-4665 Impact factor: 1.846
Factors associated with active tuberculosis and socioeconomic, clinical and demographic characteristics of cases and controls in an indigenous population from Mato Grosso do Sul State, Brazil, 2011-2012.
| Variables | Cases | Controls | Crude | Adjusted | p-value | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | OR | 95% CI | OR | 95% CI | |||
|
| ||||||||||
| Female | 52 | 34.0 | 187 | 61.1 | 1 | 1 | ||||
| Male | 101 | 66.0 | 119 | 38.9 | 3.0 | 2.0-4.5 | 1.9 | 1.1-3.2 | 0.010 | |
|
| ||||||||||
| 9 or more years | 8 | 5.2 | 30 | 9.8 | 1 | |||||
| 5 to 8 years | 23 | 15.0 | 67 | 22.0 | 1.6 | 0.6-3.9 | -- | -- | ||
| 1 to 4 years | 61 | 39.9 | 114 | 37.4 | 3.0 | 1.2-7.5 | -- | -- | ||
| No schooling | 61 | 39.9 | 94 | 30.8 | 4.0 | 1.5-10.6 | -- | -- | ||
|
| ||||||||||
| >1 room | 60 | 39.2 | 173 | 56.5 | 1 | |||||
| ≤ 1 room per household | 93 | 60.8 | 133 | 45.5 | 2.3 | 1.5-3.5 | -- | -- | ||
|
| ||||||||||
| No | 97 | 63.4 | 131 | 43.0 | 1 | 1 | ||||
| Yes | 56 | 36.6 | 174 | 57.0 | 0.4 | 0.3-0.6 | 0.5 | 0.3-0.6 | < 0.001 | |
|
| ||||||||||
| No | 68 | 44.4 | 166 | 54.2 | 1 | |||||
| Yes | 85 | 55.6 | 140 | 45.8 | 2 | 1.2-3.2 | -- | -- | ||
|
| ||||||||||
| No smoking | 88 | 58.3 | 224 | 73.9 | 1 | |||||
| Up to 10 cigarettes per day | 34 | 22.5 | 64 | 21.1 | 1.5 | 0.9-2.4 | -- | -- | ||
| >10 cigarettes per day | 29 | 19.2 | 15 | 5.0 | 5.6 | 2.7-11.6 | -- | -- | ||
|
| ||||||||||
| No use | 82 | 53.6 | 245 | 80.0 | 1 | 1 | ||||
| Low-risk use | 34 | 22.2 | 37 | 12.1 | 3.0 | 1.6-5.2 | 2.2 | 1.1-4.3 | ||
| Risky use | 18 | 11.8 | 17 | 5.6 | 4.1 | 1.9-8.9 | 2.4 | 1.0-6.0 | ||
| Dependent/damage use | 19 | 12.4 | 7 | 2.3 | 9.0 | 3.4-23.4 | 9.1 | 2.9-29.1 | < 0.001 | |
|
| ||||||||||
| No | 90 | 62.9 | 210 | 70.2 | 1 | 1 | ||||
| Yes | 53 | 37.1 | 89 | 29.8 | 1.5 | 1.0-2.3 | 2.0 | 1.2-3.5 | 0.008 | |
|
| ||||||||||
| No | 51 | 33.8 | 73 | 24.3 | 1 | 1 | ||||
| Yes | 100 | 62.2 | 228 | 75.7 | 0.6 | 0.3-0.9 | 0.5 | 0.3-0.9 | 0.030 | |
Reference value
Cases and controls receiving or not BFP conditional cash transfer benefits. Population of the indigenous territories of Aquidauana, Miranda, Caarapo and Amambai in Mato Grosso do Sul State, Brazil, 2011-2012.
| Variables | BFP-Cases | p-value | BFP-Controls | p-value | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | ||||||||
| n | % | n | % | n | % | n | % | ||||
|
| 0.300 | 0.200 | |||||||||
| Female | 22 | 39.3 | 30 | 30.9 | 112 | 64.4 | 75 | 57.3 | |||
| Male | 34 | 60.7 | 67 | 69.1 | 62 | 35.6 | 56 | 42.7 | |||
|
| |||||||||||
| 9 or more years | 5 | 8.9 | 3 | 3.1 | 0.800 | 15 | 8.7 | 15 | 11.5 | 0.040 | |
| 5 to 8 years | 9 | 16.1 | 14 | 14.4 | 48 | 27.7 | 19 | 14.5 | |||
| 1 to 4 years | 25 | 44.6 | 36 | 37.1 | 62 | 35.8 | 51 | 38.9 | |||
| No schooling | 17 | 30.4 | 44 | 45.4 | 48 | 27.7 | 46 | 35.1 | |||
|
| |||||||||||
| >1 room per household | 29 | 51.8 | 31 | 32.0 | 0.010 | 105 | 60.3 | 67 | 51.1 | 0.100 | |
| ≤ 1room per household | 27 | 48.2 | 66 | 68.0 | 69 | 39.7 | 64 | 48.9 | |||
|
| |||||||||||
| No | 30 | 53.6 | 38 | 39.2 | 0.080 | 104 | 59.8 | 61 | 46.6 | 0.020 | |
| Yes | 26 | 46.4 | 59 | 60.8 | 70 | 40.2 | 70 | 53.4 | |||
|
| |||||||||||
| No | 50 | 89.3 | 96 | 99.0 | 0.006 | 153 | 87.9 | 114 | 87.0 | 0.810 | |
| Yes | 6 | 10.7 | 1 | 1.0 | 21 | 12.1 | 17 | 13.0 | |||
|
| |||||||||||
| No | 51 | 91.1 | 58 | 59.8 | 0.000 | 154 | 88.5 | 98 | 74.8 | 0.002 | |
| Yes | 5 | 8.9 | 39 | 40.2 | 20 | 11.5 | 33 | 25.2 | |||
|
| |||||||||||
| Under 2 persons | 15 | 26.8 | 42 | 43.3 | 0.040 | 43 | 24.7 | 61 | 46.6 | 0.000 | |
| More than 2 persons | 41 | 73.2 | 55 | 56.7 | 131 | 75.3 | 70 | 53.4 | |||
|
| |||||||||||
| No smoking | 33 | 58.9 | 55 | 56.7 | 0.900 | 125 | 71.8 | 99 | 77.3 | 0.500 | |
| Up to 10 cigarettes per day | 12 | 21.4 | 22 | 22.7 | 40 | 23.0 | 24 | 18.8 | |||
| >10 cigarettes per day | 11 | 19.6 | 18 | 18.6 | 9 | 5.2 | 5 | 3.9 | |||
|
| |||||||||||
| No use | 35 | 62.5 | 47 | 48.5 | 0.300 | 141 | 81.0 | 104 | 79.4 | 0.500 | |
| Low-risk use | 9 | 16.1 | 25 | 25.8 | 18 | 10.3 | 19 | 14.5 | |||
| Risky use | 6 | 10.7 | 12 | 12.4 | 11 | 6.3 | 5 | 3.8 | |||
| Dependent/damage use | 6 | 10.7 | 13 | 13.4 | 4 | 2.3 | 3 | 2.3 | |||
|
| |||||||||||
| No | 30 | 54.5 | 60 | 68.2 | 0.100 | 114 | 67.1 | 95 | 74.2 | 0.100 | |
| Yes | 25 | 45.5 | 28 | 31.8 | 56 | 32.9 | 33 | 25.8 | |||
|
| |||||||||||
| No | 16 | 29.6 | 35 | 36.1 | 0.400 | 37 | 21.5 | 36 | 28.1 | 0.100 | |
| Yes | 38 | 70.4 | 62 | 63.9 | 135 | 78.5 | 92 | 71.9 | |||