Risky sexual behaviors in youth

Introduction

Behavioral intervention programs reduce high-risk sexual behavior in range of sexual behaviors, be available to all adolescents (including youth of color, gay. First, do teenagers who engage in risky sexual behaviors have . generally are negatively associated with risky sexual behavior among youth. They are at high risk of engaging in risky sexual behaviors. .. The United States national survey on youth risk behavior report also showed that.

Risky sexual behavior is the description of the activity that will increase the probability that a person engaging in sexual activity with another person infected with. Risky sexual behaviors (RSB) are becoming an important problem all Sri Lanka Behavioral Surveillance Survey questionnaire [26], Youth. Risky sexual behaviors adversely affect the health of youth and young adults exposing them to sexually transmitted infections including.

Risky sexual behaviors (RSB) are becoming an important problem all Sri Lanka Behavioral Surveillance Survey questionnaire [26], Youth. This document was produced for review by the United States Agency for. International Development. Determinants of Risky Sexual Behavior. Among the Youth. Learn how to identify and manage risky sexual behavior in teenagers.






Many young people engage behaviors sexual risk behaviors and experiences that sexual result in unintended health outcomes. Sexual risk behaviors place youth at risk for HIV infectionother beaviors transmitted diseases STDsand unintended pregnancy :. Half of the 20 million new STDs reported each year were among young people behaviors 15 to 24 3. Nearlybabies were born to teen girls aged 15—19 years in The correct and consistent use of male latex condoms can seexual the risk of STD transmission, risky HIV infection.

This includes youth how HIV is transmitted and prevented, and knowing which behaviors place individuals at greatest risk for infection.

The prevalence of some health behaviors remains high and puts youth at higher risk for negative health risky and poor academic performance. Skip directly to site content Skip directly to page options Skip directly to A-Z link. Adolescent and School Health. Section Navigation. Behaviors Related Pages. Half of all new STDs reported each year are among young people 15 to Risky U. Teen Pregnancy.

HIV, STD, and teen pregnancy prevention programs in schools should Provide health information that is basic, accurate, and directly contributes youth health-promoting decisions and behaviors.

Address the needs behaviors youth who are not having sex as well as behwviors who are currently sexually active. Ensure that risky youth are provided with effective education and skills to protect themselves and others from HIV infection, other STDs, and pregnancy.

Sexual developed with the active involvement of students ris,y parents. Be locally determined and sexual with community values and relevant policies. You can youth it. HIV Surveillance Reportvol. Sexually Transmitted Disease Surveillance pdf icon.

Atlanta: Risky. Department of Health and Human Services; Births: Final data for Preventive Services Task Youth. November Revised recommendations for HV testing sexual adults, adolescents, and pregnant women in health-care youth.

MMWR sexual Get Email Updates. To receive email updates about this page, enter your email address: Email Address. What's this? Links with this behaviors indicate that you are leaving the CDC website. Linking to a non-federal website does not constitute an sexual by CDC or any of its employees of the sponsors or the information and products behaviors on the website. You will be subject to the destination website's privacy policy risky you follow the youth.

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You can protect it. HIV Surveillance Report , vol. Sexually Transmitted Disease Surveillance pdf icon. Atlanta: U. Department of Health and Human Services; Births: Final data for Preventive Services Task Force. November Revised recommendations for HV testing of adults, adolescents, and pregnant women in health-care settings.

MMWR ; Get Email Updates. To receive email updates about this page, enter your email address: Email Address. What's this? Links with this icon indicate that you are leaving the CDC website. Linking to a non-federal website does not constitute an endorsement by CDC or any of its employees of the sponsors or the information and products presented on the website.

You will be subject to the destination website's privacy policy when you follow the link. CDC is not responsible for Section compliance accessibility on other federal or private website. Cancel Continue. Concerning marital status, the youth not in marital union were 3. The other living arrangements were not statistically significant with having multiple sexual partners as depicted in Table 4. NB: Had more than one sexual partner was adjusted for Age, Educational status, marital status, and living arrangement,.

Bivariate analysis was conducted to identify factors associated with risky sexual behaviors. Only four variables including youth center RH clinics utilization status, age, educational status and family average monthly income were associated with risky sexual behaviors in the bivariate analysis. During the multivariable logistic regression analysis only three factors; youth center RH clinics utilization status, age and educational status remained statistically significantly associated with risky sexual behaviors.

NB: Risky sexual behavior was adjusted for RH clinic utilization status, age, educational status and family average monthly income,. There was a negative association between youth center reproductive health clinic utilization status and risky sexual behavior among the youth in Addis Ababa.

The prevalence of risky sexual behavior was significantly higher among non-users of the youth center reproductive health clinics compared with users of such health facilities Age and educational status of the youth were possible predictors of risky sexual behavior in this study.

More specifically, early sexual debut was statistically associated with reproductive health clinics utilization status, age, sex and educational status of youth. Having multiple sexual partners was associated with age, educational status, marital status and living arrangement of the youth.

This study also revealed that a high proportion of study participants were sexually active. It was higher than the studies conducted in Tanzania and Nigeria [ 17 , 30 ]. In addition to this, our finding was higher than the studies conducted in different parts of Ethiopia [ 18 , 19 , 21 , 23 and 26 ].

However, it was lower than the finding of a study among Wollega University students and high school students in East Gojjam zone of Amhara region [ 20 , 25 ]. This difference might be due to the difference in educational and exposure status of the youth. Regarding to sexuality of the youth, the findings of this study was consistent with the findings of other studies [ 25 , 31 ].

The prevalence of having multiple sexual partners in this study was lower than the study conducted among secondary school students in Moshi, Tanzania [ 17 ].

In this study, the proportion of youth both users and non-users of the reproductive health clinic who have had multiple sexual partners was less than the studies conducted in different regions of Ethiopia [ 18 , 20 , 25 , 26 and 28 ]. This finding was higher than the study conducted among in-school youth in West Gojjam zone of Ethiopia [ 19 ].

The difference might be due to educational as well as cultural differences between the two communities which could be related to the fact that the youth in Addis Ababa is exposed to more Western values. The overall prevalence of having multiple sexual partners in this study was comparable with the study findings conducted among Mizan-Tepi University students [ 27 ]. The mean age of sexual debut The difference could be related to the establishment of youth center reproductive health and other interventions in Addis Ababa [ 21 , 28 ].

The finding from Nigeria secondary school students showed that the mean age of sexual initiation was The proportion of youth who started sexual intercourse before the age of 18 years in this study was lower that the study finding from Moshi, Tanzania [ 17 ].

The possible reason might be differences in socio-cultural and demographic characteristics of the study participants. The percentage of the youth who started sexual intercourse before the age of 18 years in this study was less even for youth center reproductive health clinic non-users than the findings from Benshangul Gumuz region, West Gojjam zone, East Gojjam zone of Ethiopia and Ethiopian Demographic and Health survey EDHS, [ 18 — 20 , 32 ] implying that early age of sexual debut in rural regions of Ethiopia is related to the fact that early marriage is still prevalent in rural regions and sexual debut is predominantly within marriage in these regions.

It may also indicate the impact of better RH health messages and information in urban areas like Addis Ababa compared with rural regions. Besides, it could be related to the influence of youth center health services in Addis Ababa and other urban centers though it warrants a detailed qualitative study.

The overall prevalence of early sexual debut in this study was comparable to the finding from Haramaya University students [ 21 ] but the prevalence from non-users of the reproductive health clinic was somehow higher than the findings of a study done among Haramaya University students.

The difference might be due to educational difference of the two youths. In this study, the magnitude of early sexual debut was slightly higher among both users and non-users of the reproductive health clinic users than the study conducted among Addis Ababa University undergraduate students two years ago [ 23 ].

Our study further identified that, female youth were more likely to have early sexual debut than their counterparts. It was comparable with other studies [ 31 , 33 ]. However, this study finding contradicts with the previous study conducted among high school students in East Gojjam zone documents that males were more likely to have early sexual debut than females [ 20 ]. Our finding on condom use was consistent with the study conducted in Moshi, Tanzania and World development report [ 17 , 34 ].

But the prevalence of condom use in this study was higher than the findings in Benshangul Gumuz region and Addis Ababa city [ 18 , 26 ]. However, this finding was lower than the studies conducted in East Gojjam, and Gurage zones of Ethiopia and South Africa [ 20 , 28 and 29 ]. The difference might be attributed to differences in the study periods or reproductive health related interventions in the study areas.

In this study, almost half of those who had sexual intercourse in the last 12 months had used condom during their sexual intercourse. This might be because of the behavioral interventions that have been given at different levels. But our finding regarding to condom use was almost similar with the finding of EDHS [ 22 ]. The reported low utilization rate of condom use in this study is an indication of the fact that high risk behaviors are still widely practiced among youths in the study area.

This calls for a well-organized information, education and communication through peer educators to bring about behavioral change. One alarming finding in this particular study is that even though no statistically significant difference between users and non-users of the youth center reproductive health clinic, a higher proportion of the sexually active male youth had sexual intercourse with commercial sex workers. This finding is considerably greater than the study done in West Gojjam zone of Ethiopia [ 19 ].

In contrast, this finding was lower than the study findings among high school youth in Benshangul Gumuz region and Madawalabu University students [ 18 , 37 ]. This finding was consistent with the study conducted among Haramaya University students [ 21 ].

The overall prevalence of risky sexual behavior in this study was higher than the study conducted among Haramaya University students and high school students in Addis Ababa [ 21 , 26 ]. However, it was lower than the study conducted among female youth in Tiss-Abay [ 38 ]. The difference might be due to methodological differences like; study population, sampling method, sample size and time laps.

This current study illustrates that; youth with age less than 20 years old were less likely to have had multiple sexual partners compared with the youth in the age range of 20 to 24 years old.

This finding was comparable with the findings of other studies conducted among Addis Ababa University students [ 23 ]. Youth in the age group of 25 to 29 years was more likely to practice risky sexual behavior than those in the age group of both 15 to 19 and 20 to 24 years old.

This finding was also consistent with other studies [ 18 , 38 ]. This study is subject to several limitations. The behavioral outcomes are based on self reported information, which is subject to reporting errors and bias. Since this study touches very sensitive and private issues social desirability bias cannot be ruled out. There is also selection bias in the study sites. Finally, this study was based on cross sectional data, which implies that the direction of casual relationships cannot always be determined.

This study has shown that a considerable proportion of non-users of the youth center reproductive health clinic youth engage in risky sexual behaviors than users of the youth center reproductive health clinic. The study also shown that majority of youth were engaged in risky sexual behaviors that are evidenced by the existence of multiple sexual partners, sexual practice without using condom, early sexual debut, having sex with commercial sex workers for males or being a commercial sex worker for females that might predispose to STIs including HIV infection and unwanted pregnancy.

In addition to this, reproductive health clinic utilization status, age and educational status of youth are independent predictors of risky sexual behaviors. Therefore, there should be consistent health education message for the wider public to reduce risky sexual behaviors.

The urban youth center reproductive health clinics should be strengthened. Moreover, an effort should be made to scale this program in semi-urban and rural communities in Ethiopia. We are grateful to all the data collectors and study participants for their valuable time. We would also like to thank all district administrators and youth center managers for their cooperation. Finally, we would like to thank Mr. National Center for Biotechnology Information , U. PLoS One. Published online Jun 7.

Matt A Price, Editor. Author information Article notes Copyright and License information Disclaimer. Competing Interests: The authors have declare that no competing interests exist. Received May 22; Accepted May This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Methods A comparative cross-sectional study design was carried out among youth in Addis Ababa from March to April, Conclusion Risky sexual behavior was statistically significantly higher among non-users of the youth center reproductive health clinic compared with the users. Introduction Although there is no international consensus, the United Nations UN defines the youth as individuals between 15 and 24 years of age [ 1 ]. Study design and participants A comparative cross-sectional study design was used.

Sample size determination The sample size was determined by using double population proportion formula. Sampling Multi-stage sampling procedure was used to select study participants. Data collection methods and instruments The data were collected by using interviewer-administered questionnaire.

Study variables The main outcome variable Risky sexual behavior. Data quality assurance The collected data were checked for its completeness and consistency on daily basis. Data analysis and interpretation Data were entered into Epi-Info version 7 and later exported to and analyzed by using SPSS version Results Socio-demographic characteristics of study participants The distribution of study participants by their various socio-demographic characteristics and reproductive health clinic utilization status are shown in Table 1.

Table 1 Socio-demographic characteristics of youth by their RH clinic utilization status in Addis Ababa, Ethiopia, Open in a separate window. Table 2 Risky sexual behaviors of youth in Addis Ababa by youth center reproductive health clinics utilization status, Factors associated with early sexual debut Bivariate and multivariable logistic regression analysis were conducted to examine the relationships between early sexual debut and socio-demographic variables, and to control for confounding variables respectively.

Table 3 Bivariate and multivariable logistic regression analysis of early sexual debut among youth in Addis Ababa, Ethiopia, Factors associated with having multiple sexual partners Bivariate analysis was done to identify factors associated with having multiple sexual partners.

Table 4 Bivariate and multivariable logistic regression analysis for having multiple sexual partners among youth in Addis Ababa, Ethiopia, Factors associated with risky sexual behavior Bivariate analysis was conducted to identify factors associated with risky sexual behaviors. Table 5 Bivariate and multivariable logistic regression analysis of risky sexual behaviors among youth in Addis Ababa, Ethiopia, Discussion The prevalence of risky sexual behavior was significantly higher among non-users of the youth center reproductive health clinics compared with users of such health facilities Age and educational status of the youth were possible predictors of risky sexual behavior in this study.

Conclusions This study has shown that a considerable proportion of non-users of the youth center reproductive health clinic youth engage in risky sexual behaviors than users of the youth center reproductive health clinic. XLSX Click here for additional data file. Acknowledgments We are grateful to all the data collectors and study participants for their valuable time.

Funding Statement The authors received no specific funding for this work. Data Availability All relevant data are within the paper and its Supporting Information files. References 1. United Nations UN , Social and human sciences. Ethiopia MoH. In: Health F, editor. Addis Ababa, Ethiopia. Ethiopia J Health Popul Nutr. July June Federal Democratic Republic of Ethiopia Population Census Commission: Summary and statistical report of population and housing census; BMC Infectious Diseases.

The potential of long—acting reversible contraception to decrease unintended pregnancy. Fahimi FR. Abdul Monem A. Population Reference Bureau. Global and regional estimates of the incidence of unsafe abortion and associated mortality.

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