| Literature DB >> 29695304 |
Wenting Wang1,2, Ren Chen1, Ying Ma1, Xuehui Sun1, Xia Qin1, Zhi Hu3.
Abstract
BACKGROUND: There is a growing recognition of the need to provide HIV/AIDS prevention and care to migrant workers. Social involvement, a type of social capital, is considered a 'critical enabler' of effective HIV/AIDS prevention. Designated participation in formal community groups by the government (e.g., political parties) and informal, voluntary local networks by NGOs (e.g., alumni association, cultural & sports club) play different roles in HIV prevention. The objective of this study is to assess the impact of different types of social organizations on HIV/AIDS prevention knowledge among migrant workers.Entities:
Keywords: Alumni association; HIV/AIDS; Migrants; Political party; Social organizations
Mesh:
Year: 2018 PMID: 29695304 PMCID: PMC5918763 DOI: 10.1186/s12992-018-0359-4
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Fig. 1The correct ratio of a 8 questions concerning HIV/AIDS knowledge, b 5 questions concerning HIV/AIDS attitude, and c 5 questions concerning HIV/AIDS risk behaviors among political parties, alumni association and non-participates
Social demographic characteristics of migrants, categories are mutually exclusive and exhaustive
| n | Percentage(%) | |
|---|---|---|
| Gender | ||
| Male | 523 | 69.0 |
| Female | 235 | 31.0 |
| Age Group | ||
| 18-20 | 72 | 9.5 |
| 20-29 | 307 | 40.5 |
| 30-39 | 169 | 22.3 |
| ≥ 40 | 210 | 27.7 |
| Occupations | ||
| Catering industry workers | 134 | 17.7 |
| Agricultural workers | 196 | 25.8 |
| Enterprise workers | 209 | 27.6 |
| Construction workers | 219 | 28.9 |
| Income | ||
| < 1000 | 209 | 27.6 |
| 1000-2000 | 344 | 45.4 |
| > 2000 | 205 | 27.0 |
| Education | ||
| Some or completed primary education | 437 | 57.7 |
| Secondary education | 232 | 30.6 |
| Secondary education or higher | 89 | 11.7 |
| Social Organization | ||
| Alumni association | 142 | 18.7 |
| Political parties | 114 | 15.0 |
| Cultural & sports club | 41 | 5.4 |
| Other social organizations | 312 | 41.2 |
| Non-participates | 149 | 19.6 |
Distribution of participation in social organizations and AIDS knowledge score
| Social organizations | Low knowledge | High knowledge | Total n | χ2 | p-value | |
|---|---|---|---|---|---|---|
| Political parties | Participation | 21 (28.4%) | 93 (71.6%) | 114 | 9.20 | 0.002 |
| No participation | 210 (31.6%) | 434 (68.4%) | 644 | |||
| Total | 231 (30.0%) | 527 (70.0%) | 758 | |||
| Alumni association | Participation | 33 (23.2%) | 109 (76.8%) | 142 | 4.32 | 0.043 |
| No participation | 198 (32.1%) | 418 (67.9%) | 616 | |||
| Total | 231 (30.0%) | 527 (70.0%) | 758 | |||
| Cultural & sports club | Participation | 7 (17.0%) | 34 (83.0%) | 41 | 3.67 | 0.057 |
| No participation | 224 (31.2%) | 493 (68.8%) | 717 | |||
| Total | 231(30.0%) | 527 (70.0%) | 758 |
Associations between AIDS knowledge and attitudes by political party
| Variables | Sample size | High attitude score | High behavior score | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| cORa (95%CI) | P | aORb (95%CI) | P | cOR (95%CI) | P | aOR (95%CI) | P | |||
| Knowledge levels about AIDS | Low | 21 | 1 | – | 1 | – | 1 | – | 1 | – |
| High | 93 |
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| Gender | male | 90 | 1 | – | 1 | – | 1 | – | 1 | – |
| female | 24 | 0.854 (0.34-2.12) | 0.734 | 0.943 (0.29-3.04) | 0.922 | 0.26 (0.10-0.69) | 0.007 | 0.475 (0.14-1.57) | 0.224 | |
| Ages | 20< | 19 | 1 | – | 1 | – | 1 | – | 1 | – |
| 20-29 | 70 | 1.01 (0.29-3.9) | 0.987 | 0.69 (0.08-5.75) | 0.733 | 1.80 (0.50-6.46) | 0.367 | 0.67 (0.07-5.85) | 0.719 | |
| 30-39 | 4 | 1.144 (0.43-3.04) | 0.788 | 1.326 (0.22-7.93) | 0.757 | 2.0 (0.72-5.55) | 0.183 | 1.08 (0.15-7.8) | 0.934 | |
| ≥40 | 21 | 2.73 (0.24-30.66) | 0.416 | 2.05 (0.11-38.31) | 0.631 | 0.68 (0.58-7.6) | 0.744 | 3.03 (0.17-54.39) | 0.452 | |
| Occupation | Industry worker | 29 | 1 | – | 1 | – | 1 | – | 1 | – |
| Agricultural worker | 4 | 1.42 (0.50-3.96) | 0.507 | 3.19 (0.57-17.62) | 0.183 |
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| Enterprise workers | 51 | 3.00 (0.28-32.09) | 0.364 | 2.32 (0.14-38.40) | 0.555 | 0.78 (0.07-8.52) | 0.837 | 0.50 (0.04-7.70) | 0.605 | |
| Construction workers | 30 | 1.22 (0.49-3.00) | 0.67 | 2.68 (0.55-13.07) | 0.224 | 1.39 (0.53-3.63) | 0.508 | 1.13 (0.21-6.01) | 0.883 | |
| Individual income | 1000 < | 23 | 1 | – | 1 | – | 1 | – | 1 | – |
| 1000-2000 | 69 | 1.91 (0.56-6.46) | 0.301 | 1.96 (0.44-8.66) | 0.374 | 2.89 (0.74-11.37) | 0.128 | 2.98 (0.55-15.99) | 0.204 | |
| > 2000 | 22 | 0.86 (0.3-2.34) | 0.755 | 0.61 (0.17-2.24) | 0.461 |
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| Education level | Some or completed primary education | 22 | 1 | – | 1 | – | 1 | – | 1 | – |
| Secondary education | 55 | 2.53 (0.81-7.88) | 0.111 |
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| 0.66 (0.22-1.90) | 0.438 | 0.95 (0.19-4.80) | 0.953 | |
| Above secondary education | 37 | 0.98 (0.43-2.26) | 0.967 | 1.74 (0.61-4.89) | 0.297 | 0.73 (0.32-1.96) | 0.433 | 0.90 (0.30-2.70) | 0.856 | |
aCrude odds ratio
bAdjusted odds ratio
All items with P < 0.05 were bold italics
Associations between AIDS knowledge and attitudes by alumni association
| Variables | Sample size | High attitude score | High behavior score | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| cORa (95%CI) | P | aORb (95%CI) | P | cOR (95%CI) | P | aOR (95%CI) | P | |||
| Knowledge levels about AIDS | Low | 33 | 1 | – | 1 | – | 1 | – | 1 | – |
| High | 109 |
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| 2.00 (0.92-4.36) | 0.079 | 1.56 (0.63-3.85) | 0.334 | |
| Gender | male | 92 | 1 | – | 1 | – | 1 | – | 1 | – |
| female | 40 | 1.913 (0.87-4.22) | 0.109 | 0.317 (0.21-1.67) | 0.586 | 0.764 (0.36-1.62) | 0.483 | 1.06 (0.41-2.80) | 0.905 | |
| Ages | 20< | 33 | 1 | – | 1 | – | 1 | – | 1 | – |
| 20-29 | 79 | 3.23 (0.34-31.07) | 0.306 | 4.25 (0.33-55.15) | 0.268 | 5.31 (0.56-50.53) | 0.146 | 2.20 (0.18-24.36) | 0.547 | |
| 30-39 | 21 | 3.33 (0.37-29.96) | 0.286 | 3.17 (0.28-35.20) | 0.347 | 3.52 (0.72-5.55) | 0.261 | 1.31 (0.13-13.63) | 0.809 | |
| ≥40 | 9 | 5.63 (0.53-58.90) | 0.15 | 5.73 (0.45-72.33) | 0.177 | 1.53 (0.13-17.33) | 0.727 | 1.22 (0.09-15.25) | 0.877 | |
| Occupations | Catering industry worker | 40 | 1 | – | 1 | – | 1 | – | 1 | – |
| Agricultural worker | 17 | 0.28 (0.09-0.80) | 0.018 | 0.35 (0.57-17.62) | 0.111 | 8.80 (2.71-28.53) | 0.000 |
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| Enterprise workers | 54 | 0.41(0.10-1.67) | 0.215 | 0.39 (0.08-1.95) | 0.252 | 1.32 (0.23-6.63) | 0.732 | 1.88 (0.33-10.50) | 0.475 | |
| Construction workers | 31 | 0.93(0.36-2.35) | 0.876 | 1.17 (0.54-13.07) | 0.792 | 2.53 (0.82-7.78) | 0.105 | 2.73 (0.21-6.01) | 0.124 | |
| Individual income | 1000< | 39 | 1 | – | 1 | – | 1 | – | 1 | – |
| 1000-2000 | 73 | 0.85 (0.31-2.55) | 0.903 | 1.03 (0.28-3.73) | 0.966 | 1.21 (0.73-11.37) | 0.729 | 0.59 (0.16-2.16) | 0.43 | |
| > 2000 | 30 | 0.28 (0.24-1.50) | 0.599 | 0.75 (0.25-2.24) | 0.61 | 1.75 (0.67-4.57) | 0.251 | 1.09 (0.37-3.18) | 0.87 | |
| Education level | Some or completed primary education | 38 | 1 | – | 1 | – | 1 | – | 1 | – |
| secondary education | 74 | 0.29 (0.09-0.86) | 0.027 | 0.30 (0.08-1.12) | 0.075 | 0.52 (0.18-1.51) | 0.232 | 0.38 (0.1-1.38) | 0.139 | |
| Above secondary education | 30 | 0.66 (0.43-2.26) | 0.319 | 0.48 (0.15-1.51) | 0.213 | 0.66 (0.27-1.62) | 0.364 | 0.58 (0.18-1.81) | 0.347 | |
aCrude odds ratio
bAdjusted odds ratio
All items with P < 0.05 were bold italics