Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Statistical modeling of social risk factors for sexually transmitted diseases among female youths in Nigeria
Introduction: Sexually transmitted diseases (STDs) are preventable, but the social risks factors connected to them are often not understood, particularly by female youths. There has been a dearth of information on the identification of social risk factors influencing STDs among female youths in Nige...
Saved in:
| Format: | Article |
|---|---|
| Published: |
2013
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000njm a2000000a 4500 | ||
|---|---|---|---|
| 001 | oai:repository.ui.edu.ng:123456789/13008 | ||
| 042 | |a dc | ||
| 720 | |a Adebowale, A. S. |e author | ||
| 720 | |a Titiloye, M. |e author | ||
| 720 | |a Fagbamigbe, A. F. |e author | ||
| 720 | |a Akinyemi, O. J. |e author | ||
| 260 | |c 2013 | ||
| 520 | |a Introduction: Sexually transmitted diseases (STDs) are preventable, but the social risks factors connected to them are often not understood, particularly by female youths. There has been a dearth of information on the identification of social risk factors influencing STDs among female youths in Nigeria, hence we conducted this study. Methodology: This retrospective cross-sectional study utilized the Nigeria Demographic and Health Survey, 2008. It focused on female youths aged 15-24 (n=7,736) who ever had sexual intercourse. Data was analyzed using Chi-square and logistic regression models. Results: The mean age of the respondents was 20.2±2.5years. More female youths aged between 20 and 24 years contracted STDs in the last 12 months (2.5%) than those between the ages of 15 and 19 months (1.4%). A year prevalence of STDs among female youths in Nigeria was 2.1%. Socio-demographic factors such as age, education, wealth index, marital status, shared toilet, residence, contraceptive use, and total life-time number of sexual partners were found to be associated risk factors for contracting STDs (p<0.05). Controlling for potential confounding variables at the fifth iteration, the identified predictors of contracting STDs were wealth index, total lifetime number of sexual partners, awareness of HIV/AIDS, and shared toilet facility (p<0.05). Conclusions: The data confirmed the considerable impact of wealth index and awareness of HIV/AIDS as important predictors of STDs acquisition. Providing free condoms, along with teaching the importance of abstinence and improving knowledge of HIV/AIDS, can help to reduce the risk of STDs transmission. | ||
| 024 | 8 | |a 1972-2680 | |
| 024 | 8 | |a ui_art_adebowale_statistical_2013 | |
| 024 | 8 | |a Journal Infections in Developing Countries 7(1), pp. 17-27 | |
| 024 | 8 | |a https://repository.ui.edu.ng/handle/123456789/13008 | |
| 653 | |a sexually transmitted diseases | ||
| 653 | |a statistical modeling | ||
| 653 | |a female youths | ||
| 653 | |a Nigeria | ||
| 245 | 0 | 0 | |a Statistical modeling of social risk factors for sexually transmitted diseases among female youths in Nigeria |