| Literature DB >> 24792095 |
Hisashi Eguchi1, Koji Wada2, Derek R Smith3.
Abstract
BACKGROUND: In many countries, HIV, hepatitis B virus (HBV), and hepatitis C virus (HCV) infected individuals may face discrimination and mistreatment from coworkers. Effective interventions to reduce workplace discrimination are therefore needed to protect these vulnerable populations. The current study investigated potential associations between sociodemographic factors and prejudice toward HIV and HBV/HCV infected colleagues within a Japanese working population.Entities:
Mesh:
Year: 2014 PMID: 24792095 PMCID: PMC4008599 DOI: 10.1371/journal.pone.0096645
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participant characteristics.
| HIV | HBV/HCV | p | |||
| n = 3,055 | (%) | n = 3,129 | (%) | ||
| Sex | |||||
| Male | 1,532 | (50.1) | 1,549 | (49.5) | 0.61 |
| Female | 1,523 | (49.9) | 1,580 | (50.5) | |
| Age (yr) | |||||
| 20–29 | 607 | (19.9) | 618 | (19.8) | 1.00 |
| 30–39 | 611 | (20.0) | 628 | (20.1) | |
| 40–49 | 612 | (20.0) | 627 | (20.0) | |
| 50–59 | 616 | (20.2) | 632 | (20.2) | |
| 60–69 | 609 | (19.9) | 624 | (19.9) | |
| Educational level | |||||
| Junior high school or high school | 878 | (28.7) | 693 | (22.1) | <0.01 |
| Technical college or junior college | 767 | (25.1) | 572 | (18.3) | |
| University and graduate school | 1,368 | (44.8) | 1,084 | (34.6) | |
| Others | 42 | (1.4) | 780 | (24.9) | |
| Employment status | |||||
| Manager | 244 | (8.0) | 231 | (7.4) | 0.78 |
| Regular employee | 852 | (27.9) | 845 | (27.0) | |
| Non-regular employee | 522 | (17.1) | 540 | (17.3) | |
| Undergraduate student | 201 | (6.6) | 211 | (6.7) | |
| Others | 1236 | (40.5) | 1302 | (41.6) | |
| Individual income | |||||
| Low (<1 million yen/year) | 1,210 | (39.6) | 1,236 | (39.5) | 0.07 |
| Middle (1–3 million yen/year) | 1,052 | (34.4) | 1,149 | (36.7) | |
| High (>3 million yen/year) | 793 | (26.0) | 744 | (23.8) | |
| Having prejudiced opinions about infected colleagues | |||||
| Strongly agree and agree | 1,215 | (39.8) | 742 | (23.7) | - |
| Disagree and strongly disagree | 1,610 | (52.7) | 2,387 | (76.3) | |
| Not sure | 230 | (7.5) | - | - | |
| Mean | SD | Mean | SD | ||
| Knowledge score (0–8) | 6.64 | 1.91 | 5.33 | 2.94 | <0.01 |
Statistical associations between socio-demographic factors and prejudiced attitudes towards infected colleagues.
| Prejudiced toward infected HIV colleagues (n = 3,055) | Prejudice toward infected HBV/HCV colleagues (n = 3,129) | |||||||||||
| Strongly agree and agree | (%) | Disagree and strongly disagree | (%) | Not sure | (%) | p | Strongly agree and agree | (%) | Disagree and strongly disagree | (%) | p | |
| Sex | ||||||||||||
| Male | 629 | (41.1) | 790 | (51.6) | 113 | (7.4) | 0.35 | 409 | (26.4) | 1140 | (73.6) | <0.01 |
| Female | 586 | (38.5) | 820 | (53.8) | 117 | (7.7) | 333 | (21.1) | 1247 | (78.9) | ||
| Age | ||||||||||||
| 20–29 | 209 | (34.4) | 343 | (56.5) | 55 | (9.1) | <0.01 | 174 | (28.2) | 444 | (71.8) | 0.01 |
| 30–39 | 226 | (37.0) | 342 | (56.0) | 43 | (7.0) | 160 | (25.5) | 468 | (74.5) | ||
| 40–49 | 238 | (38.9) | 323 | (52.8) | 51 | (8.3) | 142 | (22.6) | 485 | (77.4) | ||
| 50–59 | 258 | (41.9) | 320 | (51.9) | 38 | (6.2) | 125 | (19.8) | 507 | (80.2) | ||
| 60–69 | 284 | (46.6) | 282 | (46.3) | 43 | (7.1) | 141 | (22.6) | 483 | (77.4) | ||
| Educational level | ||||||||||||
| Junior high school or high school | 347 | (39.5) | 451 | (51.4) | 80 | (9.1) | 0.03 | 150 | (21.6) | 543 | (78.4) | 0.52 |
| Technical college or junior college | 304 | (39.6) | 410 | (53.5) | 53 | (6.9) | 139 | (24.3) | 433 | (75.7) | ||
| University and graduate school | 551 | (40.3) | 728 | (53.2) | 89 | (6.5) | 267 | (24.6) | 817 | (75.4) | ||
| Others | 13 | (31.0) | 21 | (50.0) | 8 | (19.0) | 186 | (23.8) | 594 | (76.2) | ||
| Employment status | ||||||||||||
| Manager | 101 | (41.4) | 130 | (53.3) | 13 | (5.3) | 0.06 | 59 | (25.5) | 172 | (74.5) | <0.01 |
| Regular employee | 344 | (40.4) | 445 | (52.2) | 63 | (7.4) | 240 | (28.4) | 605 | (71.6) | ||
| Non-regular employee | 195 | (37.4) | 287 | (55.0) | 40 | (7.7) | 107 | (19.8) | 433 | (80.2) | ||
| Others | 516 | (41.7) | 626 | (50.6) | 94 | (7.6) | 283 | (25.1) | 1019 | (74.9) | ||
| Student | 59 | (29.4) | 122 | (60.7) | 20 | (10.0) | 53 | (21.7) | 158 | (78.3) | ||
| Individual income (JPY) | ||||||||||||
| Low (<1 million yen/year) | 465 | (38.4) | 640 | (52.9) | 105 | (8.7) | 0.20 | 264 | (21.4) | 972 | (78.6) | 0.04 |
| Middle (1–3 million yen/year) | 415 | (39.4) | 565 | (53.7) | 72 | (6.8) | 285 | (24.8) | 864 | (75.2) | ||
| High (>3 million yen/year) | 335 | (42.2) | 405 | (51.1) | 53 | (6.7) | 193 | (25.9) | 551 | (74.1) | ||
| Mean | SD | Mean | SD | Mean | SD | p | Mean | SD | Mean | SD | p | |
| Knowledge score (0–8) | 6.46 | (1.85) | 6.92 | (1.71) | 5.66 | (2.89) | <0.01 | 4.76 | (3.09) | 5.51 | (2.87) | <0.01 |
Univariable and multivariable analyses of association between sociao-demographic factors and the prejudiced attitudes toward HBV/HCV or HIV infected colleagues.
| Prejudiced toward infected HIV colleagues (n = 2,825) | Prejudice toward infected HBV/HCV colleagues (n = 3,129) | |||||||
| Univariable model | Multivarible model | Univariable model | Multivarible model | |||||
| OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | |
| Sex | ||||||||
| Male | ref | ref | ref | ref | ||||
| Female | 0.94 (0.85–1.02) | 0.16 | 0.93 (0.83–1.05) | 0.25 | 0.79 (0.68–0.90) | <0.01 | 0.87 (0.73–1.03) | 0.14 |
| Age | ||||||||
| 20–29 | ref | ref | ref | ref | ||||
| 30–39 | 1.05 (0.91–1.20) | 0.51 | 0.99 (0.83–1.15) | 0.85 | 0.90 (0.74–1.09) | 0.29 | 0.80 (0.63–1.00) | 0.06 |
| 40–49 | 1.11 (0.97–1.25) | 0.12 | 1.04 (0.88–1.20) | 0.65 | 0.79 (0.64–0.97) | 0.03 | 0.70 (0.54–0.90) | 0.01 |
| 50–59 | 1.16 (1.02–1.29) | 0.02 | 1.08 (0.93–1.24) | 0.31 | 0.68 (0.54–0.85) | 0.00 | 0.61 (0.46–0.81) | 0.00 |
| 60–69 | 1.24 (1.13–1.35) | <0.01 | 1.16 (1.01–1.30) | 0.03 | 0.79 (0.64–0.97) | 0.03 | 0.70 (0.52–0.92) | 0.02 |
| Test for linear trend | p<0.01 | p<0.01 | p<0.01 | p<0.01 | ||||
| Educational level | ||||||||
| Junior high school or high school | ref | ref | ref | ref | ||||
| Technical college or junior college | 0.98 (0.86–1.10) | 0.72 | 1.02 (0.90–1.14) | 0.34 | 1.12 (0.92–1.34) | 0.26 | 1.16 (0.95–1.40) | 0.13 |
| University and graduate school | 0.99 (0.89–1.09) | 0.86 | 1.05 (0.94–1.17) | 0.64 | 1.13 (0.96–1.33) | 0.15 | 1.17 (0.98–1.37) | 0.08 |
| Others | 0.87 (0.52–1.31) | 0.55 | 0.90 (0.53–1.36) | 0.85 | 1.10 (0.91–1.31) | 0.32 | 1.12 (0.93–1.34) | 0.24 |
| Test for linear trend | p = 0.79 | p = 0.60 | p = 0.31 | p = 0.21 | ||||
| Employment status | ||||||||
| Manager | ref | ref | ref | ref | ||||
| Regular employee | 1.00 (0.83–1.17) | 0.97 | 1.07 (0.90–1.25) | 0.44 | 1.11 (0.87–1.37) | 0.39 | 1.04 (0.80–1.33) | 0.74 |
| Non-regular employee | 0.92 (0.75–1.11) | 0.41 | 1.01 (0.80–1.24) | 0.94 | 0.76 (0.56–1.03) | 0.08 | 0.78 (0.53–1.10) | 0.15 |
| Others | 0.71 (0.51–0.95) | 0.02 | 0.79 (0.53–1.11) | 0.18 | 0.98 (0.70–1.33) | 0.92 | 0.88 (0.56–1.32) | 0.57 |
| Student | 1.03 (0.88–1.19) | 0.68 | 1.07 (0.88–1.26) | 0.51 | 0.84 (0.64–1.09) | 0.20 | 0.88 (0.63–1.20) | 0.46 |
| Individual income (JPY) | ||||||||
| Low (<1 million yen/year) | ref | ref | ref | ref | ||||
| Middle (1–3 million yen/year) | 1.01 (0.90–1.11) | 0.90 | 0.93 (0.81–1.06) | 0.31 | 1.15 (1.00–1.32) | 0.05 | 1.11 (0.92–1.32) | 0.24 |
| High (>3 million yen/year) | 1.07 (0.97–1.17) | 0.18 | 0.98 (0.82–1.14) | 0.77 | 1.20 (1.03–1.38) | 0.02 | 1.04 (0.81–1.31) | 0.65 |
| Test for linear trend | p = 0.20 | p = 0.79 | p = 0.01 | p = 0.31 | ||||
| Knowledge score | 0.87 (0.83–0.90) | <0.01 | 0.87 (0.84–0.91) | <0.01 | 0.92 (0.90–0.95) | <0.01 | 0.93 (0.90–0.96) | <0.01 |
Each factor was entered into the univariable model separately.
All factors were entered into the multivariable model simultaneously.
ref: Reference category OR: odds ratio.
Test for linear trends were performed by modelling the group scores of age, educational level and individual income as one variable.