| Literature DB >> 30533187 |
Helena Medina Cruz1, Jakeline Ribeiro Barbosa1, Jeová Keny Baima Colares2, Antonio Henrique Almeida de Moraes Neto3, Maria de Fátima Leal Alencar3, Francisco Inácio Bastos4, Jurema Corrêa da Mota4, Filipe Aníbal Carvalho-Costa5, Claudia Alexandra Pontes Ivantes6, Lia Laura Lewis-Ximenez1, Livia Melo Villar7.
Abstract
AIM: To evaluate viral hepatitis knowledge among individuals from different resource areas and health conditions to identify possible gaps.Entities:
Keywords: Brazil; Knowledge; Perception; Urban population; Viral hepatitis
Year: 2018 PMID: 30533187 PMCID: PMC6280162 DOI: 10.4254/wjh.v10.i11.867
Source DB: PubMed Journal: World J Hepatol
Participants' sociodemographic characteristics of studies, n (%)
| 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) | |
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 (%)
| 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 |
Figure 1Distribution of correct answers plotted according to each population evaluated. The y-axis represents the number of correct answers. The solid lines represent the average for P1 (Southeast Viral Hepatitis Ambulatory), P2 (South Health Center), P3 (Northeast Health Center), P4 (Southeast low resource areas) and P5 (Northeast low resource areas), which were respectively: 33.1 ± 4.5; 29.1 ± 5.3; 27.5 ± 5.0; 27.6 ± 4.7; and, 25.0 ± 8.5.
Sociodemographic characteristics according to knowledge scores for viral hepatitis, n (%)
| 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) | |
Final adjusted model of multivariate logistic regression for knowledge scores for viral hepatitis
| 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 |
CI: Confidence interval; OR: Odds ratio.
Figure 2Number of individuals according to knowledge score in each group evaluated.