| Literature DB >> 30971077 |
Putu Erma Pradnyani1, Arief Wibowo1, Mahmudah Mahmudah1.
Abstract
OBJECTIVES: The purpose of this study was to characterize Indonesian women's knowledge of HIV/AIDS and to investigate the effects of socio-demographic characteristics thereupon with the goal of supporting the prevention and early detection of HIV/AIDS.Entities:
Keywords: HIV/AIDS; Indonesia; Infectious disease; Knowledge; Social demographic
Mesh:
Year: 2019 PMID: 30971077 PMCID: PMC6459757 DOI: 10.3961/jpmph.18.256
Source DB: PubMed Journal: J Prev Med Public Health ISSN: 1975-8375
HIV knowledge indicators
| Indicators | Correct answers |
|---|---|
| VCT knowledge | |
| Knowledge of VCT location | 2587 (7.4) |
| Knowledge of VCT process | 3652 (10.4) |
| Modes of transmission | |
| HIV is transmitted by breastfeeding | 28 510 (81.5) |
| People get HIV by sharing unsterilized needles | 32 127 (92.0) |
| Cannot get HIV by sharing food | 15 027 (43.0) |
| Cannot get HIV from mosquito bites | 16 022 (45.8) |
| Cannot get HIV from witchcraft | 27 622 (79.2) |
| Prevention | |
| Always use condom during sex | 19 552 (56.0) |
| Have only 1 partner | 26 260 (75.2) |
| Perceptions related to PLWHA | |
| A woman with HIV can continue to work | 16 938 (48.7) |
| Willing to care for PLWHA | 24 425 (69.8) |
| A healthy-looking person can have HIV | 28 013 (80.2) |
Values are presented as number (%).
HIV, human immunodeficiency virus; VCT, voluntary counseling and testing; PLWHA, people living with HIV/AIDS.
Distribution of women’s knowledge of HIV/AIDS by socio-demographic characteristics
| Characteristics | HIV knowledge | Univariate analysis | |
|---|---|---|---|
| Insufficient | Good | ||
| Age (y) | <0.001 | ||
| 15-19 | 5855 (99.7) | 19 (0.3) | |
| 20-24 | 5225 (98.7) | 68 (1.3) | |
| 25-29 | 5678 (99.3) | 42 (0.7) | |
| 30-34 | 5489 (98.5) | 85 (1.5) | |
| 35-39 | 5154 (99.1) | 47 (0.9) | |
| 40-44 | 4234 (98.9) | 45 (1.1) | |
| 45-49 | 3016 (99.1) | 27 (0.9) | |
| Occupational status | <0.001 | ||
| Unemployed | 16 144 (99.4) | 93 (0.6) | |
| Working | 18 504 (98.7) | 243 (1.3) | |
| Marital status | 0.592 | ||
| Never married | 8657 (98.9) | 92 (1.0) | |
| Married | 24 516 (99.1) | 228 (0.9) | |
| Divorced/widowed | 1479 (99.3) | 12 (0.7) | |
| Education level | <0.001 | ||
| Low | 29 370 (99.6) | 105 (0.3) | |
| High | 5283 (95.9) | 226 (4.1) | |
| Place of residence | <0.001 | ||
| Rural | 14 219 (99.5) | 67 (0.5) | |
| Urban | 20 434 (98.7) | 264 (1.3) | |
| Wealth index | <0.001 | ||
| Poorest | 3790 (99.7) | 10 (0.3) | |
| Poorer | 5969 (99.8) | 14 (0.2) | |
| Middle | 7349 (99.5) | 34 (0.4) | |
| Richer | 8341 (99.1) | 76 (0.9) | |
| Richest | 9202 (97.9) | 199 (2.1) | |
Values are presented as number (%).
HIV, human immunodeficiency virus.
Multiple logistic regression analysis of the effects of socio-demographic characteristics on women’s knowledge of HIV/AIDS
| Characteristics | Model 1 | Model 2 |
|---|---|---|
| cOR (95% CI) | aOR (95% CI) | |
| Age (y) | ||
| 15-19 | 1.00 (reference) | 1.00 (reference) |
| 20-24 | 4.03 (1.93, 8.38)[ | 1.17 (0.97, 1.41) |
| 25-29 | 2.15 (1.01, 4.58)[ | 1.35 (1.10, 1.64)[ |
| 30-34 | 4.77 (2.33, 9.78)[ | 1.55 (1.26, 1.90)[ |
| 35-39 | 2.79 (1.29, 6.04)[ | 1.36 (1.10, 1.68)[ |
| 40-44 | 3.30 (1.53, 7.09)[ | 1.15 (0.92, 1.44) |
| 45-49 | 2.71 (1.18, 6.21)[ | 0.94 (0.73, 1.22) |
| Occupational status | ||
| Unemployed | 1.00 (reference) | 1.00 (reference) |
| Working | 2.41 (1.68, 3.47)[ | 1.02 (0.93, 1.13) |
| Marital status | ||
| Never married | 1.00 (reference) | 1.00 (reference) |
| Married | 0.88 (0.61, 1.25) | 0.90 (0.77, 1.05) |
| Divorced/widowed | 0.67 (0.28, 1.58) | 0.80 (0.60, 1.05) |
| Education level | ||
| Low | 1.00 (reference) | 1.00 (reference) |
| High | 11.99 (8.49, 16.93)[ | 2.43 (2.17, 2.72)[ |
| Place of residence | ||
| Rural | 1.00 (reference) | 1.00 (reference) |
| Urban | 2.75 (1.85, 4.10)[ | 1.33 (1.19, 1.49)[ |
| Wealth index | ||
| Poorest | 1.00 (reference) | 1.00 (reference) |
| Poorer | 0.94 (0.39, 2.29) | 1.04 (0.85, 1.26) |
| Middle | 1.81 (0.72, 4.49) | 1.33 (1.10, 1.62)[ |
| Richer | 3.51 (1.50, 8.21)[ | 1.63 (1.36, 1.98)[ |
| Richest | 8.56 (3.81,19.25)[ | 2.13 (1.77, 2.57)[ |
cOR, crude odds ratio; aOR, adjusted odds ratio; CI, confidence interval.
p<0.05,
p<0.01,
p<0.001.