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©The Author(s) 2018.
World J Hepatol. Nov 27, 2018; 10(11): 867-876
Published online Nov 27, 2018. doi: 10.4254/wjh.v10.i11.867
Published online Nov 27, 2018. doi: 10.4254/wjh.v10.i11.867
Table 1 Participants' sociodemographic characteristics of studies, n (%)
| Item | Total, 447 | Southeast viral hepatitis ambulatory, 100 | South health center, 89 | Northeast health center, 114 | Southeast low resource areas, 77 | Northeast low resource areas, 67 | P value |
| Gender | |||||||
| Female | 269 (60.2) | 55 (55.0) | 33 (37.1) | 76 (66.7) | 51 (66.2) | 54 (80.6) | 0.000 |
| Male | 178 (39.8) | 45 (45.0) | 56 (62.9) | 38 (33.3) | 26 (33.8) | 13 (19.4) | |
| Age groups by yr | |||||||
| ≤ 40 | 193 (43.2) | 29 (29.0) | 28 (31.5) | 68 (59.6) | 27 (35.1) | 41 (61.2) | 0.000 |
| > 40 | 254 (56.8) | 71 (71.0) | 61 (68.5) | 46 (40.4) | 50 (64.9) | 26 (38.8) | |
| Education | |||||||
| Illiterate | 136 (30.4) | 28 (28.0) | 11 (12.4) | 27 (23.7) | 38 (49.3) | 32 (47.8) | 0.000 |
| Primary school | 66 (14.8) | 16 (16.0) | 12 (13.5) | 15 (13.2) | 13 (16.9) | 10 (14.9) | |
| Secondary school | 186 (41.6) | 42 (42.0) | 48 (53.9) | 51 (44.7) | 25 (32.5) | 20 (29.8) | |
| College | 59 (13.2) | 14 (14.0) | 18 (20.2) | 21 (18.4) | 1 (1.3) | 5 (7.5) | |
| Family income | |||||||
| Low | 38 (8.5) | 3 (3.0) | 1 (1.1) | 5 (4.4) | 7 (9.1) | 17 (25.3) | 0.000 |
| Intermediate | 250 (55.9) | 62 (62.0) | 25 (28.1) | 72 (63.2) | 55 (71.4) | 41 (61.2) | |
| High | 145 (32.5) | 35 (35.0) | 61 (68.5) | 34 (29.8) | 11 (14.3) | 4 (6.0) | |
| Race | |||||||
| White | 211 (47.2) | 47 (47.0) | 67 (75.3) | 33 (28.9) | 42 (54.5) | 22 (32.8) | < 0.0001 |
| Non-white | 225 (50.3) | 51 (51.0) | 20 (22.4) | 74 (64.9) | 35 (45.5) | 45 (67.2) | |
| Marital status | |||||||
| Married | 222 (49.7) | 46 (46.0) | 44 (49.4) | 59 (51.8) | 40 (51.9) | 33 (49.3) | 0.909 |
| Unmarried | 224 (50.1) | 54 (54.0) | 45 (50.6) | 55 (48.2) | 36 (46.8) | 34 (50.7) | |
| People in home | |||||||
| 1 | 39 (8.7) | 14 (14.0) | 9 (10,1) | 8 (7.0) | 7 (9.1) | 1 (1.5) | 0.000 |
| 2 | 97 (21.7) | 23 (23.0) | 28 (31.5) | 16 (14.0) | 24 (31.1) | 6 (9.0) | |
| 3 | 128 (28.6) | 34 (34.0) | 23 (25.8) | 30 (26.3) | 24 (31.2) | 17 (25.4) | |
| 4 | 94 (21.0) | 14 (14.0) | 17 (19.1) | 32 (28.1) | 8 (10.4) | 23 (34.3) | |
| 5 | 88 (19.7) | 14 (14.0) | 12 (13.5) | 28 (24.6) | 14 (18.2) | 20 (29.8) | |
Table 2 Correct answers regarding viral hepatitis given by individuals from each group evaluated (n = 447) according to general aspects, clinical manifestations, risk of acquiring hepatitis, complications, transmission and prevention, n (%)
| Sentence | Total,n = 447 | Southeast viral hepatitis ambulatory,n = 100 | South health center,n = 89 | Northeast health center,n = 114 | Southeast low resource areas,n = 77 | Northeast low resource areas,n = 67 | P value |
| General aspects | |||||||
| Can hepatitis be caused by viruses | 321 (71.8) | 84 (84.0) | 69 (77.5) | 75 (65.8) | 48 (62.3) | 45 (67.2) | 0.005 |
| Can hepatitis be caused by bacteria | 242 (54.1) | 50 (50.0) | 19 (21.3) | 74 (64.9) | 56 (72.7) | 43 (64.2) | 0.000 |
| Can hepatitis be caused by alcohol | 172 (38.5) | 31 (31.0) | 31 (34.8) | 38 (33.3) | 34 (44.2) | 38 (56.7) | 0.006 |
| Can hepatitis be caused by medicines | 154 (34.5) | 45 (45.0) | 29 (32.6) | 32 (28.1) | 24 (31.2) | 24 (35.8) | 0.110 |
| Does hepatitis A exist | 394 (88.1) | 98 (98.0) | 78 (87.6) | 97 (85.1) | 68 (88.3) | 53 (79.1) | 0.004 |
| Does hepatitis B exist | 410 (91.7) | 99 (99.0) | 88 (98.9) | 95 (83.3) | 73 (94.8) | 55 (82.1) | 0.000 |
| Does hepatitis C exist | 359 (80.3) | 99 (99.0) | 86 (96.6) | 66 (57.9) | 61 (79.2) | 47 (70.1) | 0.000 |
| Does hepatitis D exist | 121 (27.1) | 56 (56.0) | 18 (20.2) | 10 (8.8) | 18 (23.4) | 19 (28.4) | 0.000 |
| Does hepatitis E exist | 92 (20.6) | 40 (40.0) | 15 (16.9) | 7 (6.1) | 14 (18.2) | 16 (23.9) | 0.000 |
| Does a vaccine for hepatitis exist | 376 (84.1) | 91 (91.0) | 78 (87.6) | 97 (85.1) | 58 (75.3) | 52 (77.6) | 0.026 |
| Can you have the same hepatitis more the once | 132 (29.5) | 37 (37.0) | 23 (25.8) | 37 (32.5) | 13 (16.9) | 22 (32.8) | 0.040 |
| Clinical manifestations | |||||||
| No clinical manifestations | 292 (65.3) | 89 (89.0) | 75 (84.3) | 61 (53.5) | 35 (45.5) | 32 (47.8) | 0.000 |
| After years | 311 (69.6) | 81 (81.0) | 75 (84.3) | 61 (53.5) | 47 (61.0) | 47 (70.1) | 0.000 |
| Fever discomfort, nausea | 369 (82.6) | 76 (76.0) | 67 (75.3) | 99 (86.8) | 64 (83.1) | 63 (94.0) | 0.008 |
| Jaundice, pale stools and dark urine | 410 (91.7) | 93 (93.0) | 81 (91.0) | 103 (90.4) | 72 (93.5) | 61 (91.0) | 0.922 |
| People at risk of acquiring hepatitis | |||||||
| People working in laboratory | 235 (52.6) | 61 (61.0) | 39 (43.8) | 67 (58.8) | 38 (49.4) | 30 (44.8) | 0.054 |
| People who work in hospitals | 310 (69.4) | 72 (72.0) | 58 (65.2) | 88 (77.2) | 56 (72.7) | 36 (53.7) | 0.014 |
| Not people who work in rural areas | 157 (35.1) | 36 (36.0) | 41 (46.1) | 46 (40.4) | 18 (23.4) | 16 (23.9) | 0.006 |
| People who work in the beauty areas | 353 (79.0) | 91 (91.0) | 70 (78.7) | 89 (78.1) | 57 (74.0) | 46 (68.7) | 0.007 |
| People who use drugs | 393 (87.9) | 98 (98.0) | 85 (95.5) | 96 (84.2) | 64 (83.1) | 50 (74.6) | 0.000 |
| People who receive tattoos or piercings | 389 (87.0) | 98 (98.0) | 79 (88.8) | 96 (84.2) | 64 (83.1) | 52 (77.6) | 0.001 |
| People who live indoors | 253 (56.6) | 46 (46.0) | 45 (50.6) | 66 (57.9) | 57 (74.0) | 39 (58.2) | 0.004 |
| Not people who work in offices | 299 (66.9) | 19 (19.0) | 68 (76.4) | 28 (24.6) | 26 (33.8) | 31 (46.3) | 0.000 |
| Complications | |||||||
| Cirrhosis | 361 (80.8) | 91 (91.0) | 82 (92.1) | 79 (69.3) | 62 (80.5) | 47 (70.1) | 0.000 |
| Liver cancer | 378 (84.6) | 91 (91.0) | 78 (87.6) | 95 (83.3) | 65 (84.4) | 49 (73.1) | 0.031 |
| There is no loss of body movements | 88 (19.7) | 32 (32.0) | 17 (19.1) | 27 (23.7) | 6 (7.8) | 6 (9.0) | 0.233 |
| There is no loss of blood through the mouth | 65 (14.5) | 17 (17.0) | 18 (20.2) | 16 (14.0) | 8 (10.4) | 6 (9.0) | 0.000 |
| There is no vision loss | 117 (26.2) | 30 (30.0) | 23 (25.8) | 40 (35.1) | 13 (16.9) | 11 (16.4) | 0.016 |
| There is no blood in the stool | 49 (11.0) | 18 (18.0) | 10 (11.2) | 9 (7.9) | 7 (9.1) | 5 (7.5) | 0.121 |
| Transmission | |||||||
| By transfusion and transplantation | 386 (86.4) | 94 (94.0) | 85 (95.5) | 91 (79.8) | 67 (87.0) | 49 (73.1) | 0.000 |
| By sex | 310 (69.4) | 96 (96.0) | 76 (85.4) | 64 (56.1) | 42 (54.5) | 32 (47.8) | 0.000 |
| By water and contaminated vegetables | 318 (71.1) | 88 (88.0) | 49 (55.1) | 79 (69.3) | 60 (77.9) | 42 (62.7) | 0.000 |
| By seafood | 135 (30.2) | 59 (59.0) | 17 (19.1) | 27 (23.7) | 23 (29.9) | 9 (13.4) | 0.000 |
| By tattoo and piercing | 361 (80.8) | 96 (96.0) | 76 (85.4) | 88 (77.2) | 57 (74.0) | 44 (65.7) | 0.000 |
| By cutting instruments | 385 (86.1) | 99 (99.0) | 77 (86.5) | 90 (78.9) | 66 (85.7) | 53 (79.1) | 0.005 |
| By hemodialysis | 280 (62.6) | 74 (74.0) | 58 (65.2) | 60 (52.6) | 53 (68.8) | 35 (52.2) | 0.010 |
| Cannot be by mosquito bite | 221 (49.4) | 58 (58.0) | 49 (55.1) | 60 (52.6) | 31 (40.3) | 23 (34.3) | 0.000 |
| Cannot be by air | 268 (60.0) | 69 (69.0) | 69 (77.5) | 68 (59.6) | 34 (44.2) | 28 (41.8) | 0.000 |
| Prevention | |||||||
| Building cesspools | 324 (72.5) | 78 (78.0) | 49 (55.1) | 89 (78.1) | 63 (81.8) | 45 (67.2) | 0.000 |
| Channeling water | 318 (71.1) | 76 (76.0) | 53 (59.6) | 84 (73.7) | 63 (81.8) | 42 (62.7) | 0.007 |
| Selecting uninfected donors | 363 (81.2) | 90 (90.0) | 71 (79.8) | 105 (92.1) | 58 (75.3) | 39 (58.2) | 0.000 |
| Filtering water and treating drinks | 372 (83.2) | 88 (88.0) | 57 (64.0) | 101 (88.6) | 71 (92.2) | 55 (82.1) | 0.000 |
| Killing mosquitoes does not prevent hepatitis | 189 (42.3) | 53 (53.0) | 41 (46.1) | 41 (36.0) | 33 (42.9) | 21 (31.3) | 0.029 |
| Providing vaccine | 405 (90.6) | 94 (94.0) | 80 (89.9) | 107 (93.9) | 70 (90.9) | 54 (80.6) | 0.030 |
| Using masks does not prevent hepatitis | 210 (47.0) | 69 (69.0) | 57 (64.0) | 46 (40.4) | 26 (33.8) | 12 (17.9) | 0.000 |
| Using condoms | 378 (84.6) | 97 (97.0) | 82 (92.1) | 93 (81.6) | 56 (72.7) | 50 (74.6) | 0.000 |
Table 3 Sociodemographic characteristics according to knowledge scores for viral hepatitis, n (%)
| Item | Mean of knowledge score (± SD) | Knowledge score | Bivariate analysis P value | |
| Low (0-28), n = 192 | Desirable (29-46), n = 255 | |||
| Gender | ||||
| Female | 28.49 ± 6.16 | 120 (62.5) | 149 (58.4) | 0.430 |
| Male | 29.04 ± 6.10 | 72 (37.5) | 106 (41.6) | |
| Age in yr | ||||
| ≤ 40 | 27.6 ± 6.6 | 91 (47.4) | 102 (40.0) | 0.120 |
| > 40 | 27.5 ± 8.5 | 101 (52.6) | 153 (60.0) | |
| Education level | ||||
| Illiterate | 25.4 ± 8.3 | 74 (38.5) | 62 (24.3) | 0.002 |
| Primary school | 28.1 ± 5.1 | 32 (16.7) | 34 (13.3) | |
| Secondary school | 30.9 ± 5.7 | 66 (34.4) | 120 (47.1) | |
| College | 30.8 ± 5.4 | 20 (10.4) | 39 (15.3) | |
| Family income | ||||
| Low | 26.1 ± 6.9 | 21 (10.9) | 17 (6.7) | 0.200 |
| Indeterminate | 29.4 ± 7.0 | 105 (54.7) | 145 (56.9) | |
| High | 30.3 ± 5.5 | 57 (29.7) | 88 (34.5) | |
| Race | ||||
| White | 29.8 ± 7.1 | 79 (41.1) | 132 (51.8) | 0.030 |
| Non-white | 28.2 ± 6.3 | 107 (55.7) | 118 (46.3) | |
| Marital status | ||||
| Married | 28.4 ± 7.1 | 94 (48.9) | 128 (50.2) | 0.840 |
| Unmarried | 27.3 ± 8.0 | 97 (50.5) | 127 (49.8) | |
| Individuals living in the same home | ||||
| 1 | 30.5 ± 5.0 | 11 (5.7) | 28 (11.0) | 0.014 |
| 2 | 29.5 ± 5.6 | 41 (21.4) | 56 (22.0) | |
| 3 | 28.3 ± 6.3 | 63 (32.8) | 65 (25.5) | |
| 4 | 28.8 ± 6.6 | 31 (16.1) | 63 (24.7) | |
| ≥ 5 | 27.6 ± 6.4 | 46 (24.0) | 42 (16.5) | |
| Population | ||||
| Southeast viral hepatitis ambulatory | 33.1 ± 4.5 | 13 (6.8) | 87 (34.1) | < 0.0001 |
| South health center | 29.1 ± 5.3 | 37 (19.3) | 52 (20.4) | |
| Northeast health center | 27.5 ± 5.0 | 58 (30.2) | 56 (22.0) | |
| Southeast low resource areas | 27.6 ± 4.7 | 43 (22.4) | 34 (13.3) | |
| Northeast low resource areas | 25.0 ± 8.5 | 41 (21.3) | 26 (10.2) | |
Table 4 Final adjusted model of multivariate logistic regression for knowledge scores for viral hepatitis
| Variable | Knowledge score | |||
| OR | 95%CI | P value | ||
| Lower | Upper | |||
| Education level | ||||
| Illiterate | 2.230 | 1.084 | 4.586 | 0.290 |
| Primary school | 1.799 | 0.807 | 4.009 | 0.151 |
| Secondary school | 1.028 | 0.528 | 2.002 | 0.936 |
| College | 1.000 | - | - | - |
| Individuals living in the same home | ||||
| 1 | 1.000 | - | - | - |
| 2 | 1.611 | 0.671 | 3.867 | 0.286 |
| 3 | 2.328 | 0.992 | 5.465 | 0.052 |
| 4 | 0.818 | 0.332 | 2.017 | 0.663 |
| ≥ 5 | 1.832 | 0.748 | 4.486 | 0.185 |
| Population | ||||
| Southeast viral hepatitis ambulatory | 1.000 | - | - | - |
| South health center | 6.154 | 2.900 | 13.058 | 0.000 |
| Northeast health center | 8.617 | 4.177 | 17.777 | 0.000 |
| Southeast low resource areas | 7.491 | 3.508 | 15.994 | 0.000 |
| Northeast low resource areas | 11.262 | 5.007 | 25.327 | 0.000 |
- Citation: Cruz HM, Barbosa JR, Baima Colares JK, de Moraes Neto AHA, Alencar MFL, Bastos FI, da Mota JC, Carvalho-Costa FA, Ivantes CAP, Lewis-Ximenez LL, Villar LM. Cross-sectional study to determine viral hepatitis knowledge in different urban populations in Brazil. World J Hepatol 2018; 10(11): 867-876
- URL: https://www.wjgnet.com/1948-5182/full/v10/i11/867.htm
- DOI: https://dx.doi.org/10.4254/wjh.v10.i11.867
