Volume 10, Number 11—November 2004
Dispatch
Commercial Logging and HIV Epidemic, Rural Equatorial Africa
Christian Laurent*
, Anke Bourgeois*†, Mireille Mpoudi†, Christelle Butel*, Martine Peeters*, Eitel Mpoudi-Ngolé†, and Eric Delaporte*
, Anke Bourgeois*†, Mireille Mpoudi†, Christelle Butel*, Martine Peeters*, Eitel Mpoudi-Ngolé†, and Eric Delaporte*Table 3
Multivariate analysis of factors associated with HIV infection among women living in a commercial logging area, southern Cameroon, 2001a
| Variable | Adjusted ORb | 95% CIb |
|---|---|---|
| Marital status | ||
| Married | 1.00 | |
| Free union | 10.85 | 3.10–37.92 |
| Single | 4.33 | 1.31–14.33 |
| Divorced | 10.78 | 1.55–75.09 |
| Separated | 3.73 | 0.59–23.41 |
| Widowed | 5.91 | 1.01–34.44 |
| Level of education | ||
| Never schooled | 1.00 | |
| Primary school | 6.04 | 0.97–37.49 |
| Secondary school | 10.17 | 1.27–81.45 |
| History of STI | ||
| No | 1.00 | |
| Yes | 3.14 | 1.12–8.81 |
aOR, odds ratio; CI, confidence interval.
bInitial model included village of residence, time spent in the village, age group, marital status, level of education, and history of blood transfusion, surgery, tattoo and sexually transmitted infection (STI). ORs compare each category individually to the first category.
