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 [PMID: 30533187 DOI: 10.4254/wjh.v10.i11.867]
Corresponding Author of This Article
Livia Melo Villar, PhD, Research Scientist, Viral Hepatitis Laboratory, Oswaldo Cruz Institute, Helio and Peggy Pereira Pavillion - Ground Floor - Room B09, Fiocruz Av 4365 Manguinhos, Rio de Janeiro 210360040, Brazil. lvillar@ioc.fiocruz.br
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Hepatol. Nov 27, 2018; 10(11): 867-876 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