Skip to main content
Top
Published in: Reproductive Health 1/2018

Open Access 01-12-2018 | Research

Social network correlates of risky sexual behavior among adolescents in Bahir Dar and Mecha Districts, North West Ethiopia: an institution-based study

Authors: Kerebih Asrese, Alemtsehay Mekonnen

Published in: Reproductive Health | Issue 1/2018

Login to get access

Abstract

Background

Behaviors established during adolescence such as risky sexual behaviors have negative effects on future health and well-being. Extant literature indicated that individual attributes such as peer pressure and substance use have impacts on healthy development of young peoples’ sexual behavior. The patterns of relationships (social network structure) and the social network content (members’ norm regarding sexual practice) established by adolescents’ network on adolescents’ risky sexual behaviors are not well investigated.

Methods

This cross-sectional study assessed the roles of social networks on sexual behavior of high school adolescents in Bahir Dar and Mecha district, North West Ethiopia. Data were collected from 806 high school adolescents using a pretested anonymously self administered questionnaire. Hierarchical logistic regression model was used for analysis.

Results

The results indicated that more than 13% had risky sexual behavior. Taking social networks into account improved the explanation of risky sexual behavior over individual attributes. Adolescents embedded within increasing sexual practice approving norm (AOR 1.61; 95%CI: 1.04 – 2.50), increasing network tie strength (AOR 1.12; 95% CI: 1.06 – 1.19), and homogeneous networks (AOR 1.58; 95% CI: .98 – 2.55) were more likely to had risky sexual behavior. Engaging within increasing number of sexuality discussion networks was found protective of risky sexual behavior (AOR .84; 95% CI: .72 – .97).

Conclusion

Social networks better predict adolescent’s risky sexual behavior than individual attributes. The findings indicated the circumstances or contexts that social networks exert risks or protective effects on adolescents’ sexual behavior. Programs designed to reduce school adolescents’ sexual risk behavior should consider their patterns of social relationships.
Literature
2.
go back to reference Bernat D, Resnick M. Healthy Youth Development: Science and Strategies. Journal of Public Health Management Practice. 2006; Suppl, S10–S16. Bernat D, Resnick M. Healthy Youth Development: Science and Strategies. Journal of Public Health Management Practice. 2006; Suppl, S10–S16.
3.
go back to reference Kotchick B, Shaffer A, Forehand R, Miller K. Adolescent sexual risk behavior: a multi-system perspective. Clin Psychol Rev. 2001;21(4):493–519.CrossRefPubMed Kotchick B, Shaffer A, Forehand R, Miller K. Adolescent sexual risk behavior: a multi-system perspective. Clin Psychol Rev. 2001;21(4):493–519.CrossRefPubMed
5.
go back to reference Central Statistical Authority. The 2007census of Ethiopia. Addis Ababa: Central Statistical Authority; 2010. Central Statistical Authority. The 2007census of Ethiopia. Addis Ababa: Central Statistical Authority; 2010.
6.
go back to reference Adamu R, Mulatu M, Haile S. Patterns and correlates of sexual initiation, sexual risk behaviors, and condom use among secondary school students in Ethiopia. Ethiop Med J. 2003;41(2):163–77.PubMed Adamu R, Mulatu M, Haile S. Patterns and correlates of sexual initiation, sexual risk behaviors, and condom use among secondary school students in Ethiopia. Ethiop Med J. 2003;41(2):163–77.PubMed
7.
go back to reference Zelalem F. Casual sex-debuts among female adolescents in Addis Ababa, Ethiopia. Ethiop J Health Dev. 2001;15(2):109–16. Zelalem F. Casual sex-debuts among female adolescents in Addis Ababa, Ethiopia. Ethiop J Health Dev. 2001;15(2):109–16.
8.
go back to reference Cherie A, Berhane Y. Peer pressure is the prime driver of risky sexual behaviors among school adolescents in Addis Ababa, Ethiopia. World Journal of AIDS. 2012;2:159–64.CrossRef Cherie A, Berhane Y. Peer pressure is the prime driver of risky sexual behaviors among school adolescents in Addis Ababa, Ethiopia. World Journal of AIDS. 2012;2:159–64.CrossRef
9.
go back to reference Moore Z, Govindasamy P, DaVanzo, J, Genene B, Themme A. Trends in youth reproductive health in Ethiopia, 2000 and 2005. Calverton, Maryland: Macro International Inc; 2008. Moore Z, Govindasamy P, DaVanzo, J, Genene B, Themme A. Trends in youth reproductive health in Ethiopia, 2000 and 2005. Calverton, Maryland: Macro International Inc; 2008.
10.
go back to reference Versnel M, Berhane Y, Wendte J. Sexuality and contraception among never married high school students in Butajira, Ethiopia. Ethiopia Medical Journal. 2002;40(1):45–51. Versnel M, Berhane Y, Wendte J. Sexuality and contraception among never married high school students in Butajira, Ethiopia. Ethiopia Medical Journal. 2002;40(1):45–51.
11.
go back to reference Dadi A, Teklu F. Risky sexual behavior and associated factors among grade 9-12 students in Humera secondary school, western zone of Tigray, north West Ethiopia. Science Journal of Public Health. 2014;2(5):410–6.CrossRef Dadi A, Teklu F. Risky sexual behavior and associated factors among grade 9-12 students in Humera secondary school, western zone of Tigray, north West Ethiopia. Science Journal of Public Health. 2014;2(5):410–6.CrossRef
12.
go back to reference Mazengia F, Worku A. Age at sexual initiation and factors associated with it among youths in north East Ethiopia. Ethiop J Health Dev. 2009;23(2):154–62. Mazengia F, Worku A. Age at sexual initiation and factors associated with it among youths in north East Ethiopia. Ethiop J Health Dev. 2009;23(2):154–62.
13.
go back to reference Jaccard J, Blanton H, Dodge T. Peer influences on risk behavior: an analysis of the effects of a close friend. Dev Psychol. 2005;41(1):135–47.CrossRefPubMed Jaccard J, Blanton H, Dodge T. Peer influences on risk behavior: an analysis of the effects of a close friend. Dev Psychol. 2005;41(1):135–47.CrossRefPubMed
15.
go back to reference Buhi E, Goodson P. Predictors of adolescent sexual behavior and intention: a theory-guided systematic review. J Adolesc Health. 2007;40:4–21.CrossRefPubMed Buhi E, Goodson P. Predictors of adolescent sexual behavior and intention: a theory-guided systematic review. J Adolesc Health. 2007;40:4–21.CrossRefPubMed
16.
go back to reference Helleringer S, Kohler H. Social networks, perceptions of risk, and changing attitudes towards HIV/AIDS: new evidence from a longitudinal study using fixed-effects analysis. Popul Stud. 2005;59(3):265–82.CrossRef Helleringer S, Kohler H. Social networks, perceptions of risk, and changing attitudes towards HIV/AIDS: new evidence from a longitudinal study using fixed-effects analysis. Popul Stud. 2005;59(3):265–82.CrossRef
17.
go back to reference Smith K, Christakis N. Social networks and health. Annu Rev Sociol. 2008;34:405–29.CrossRef Smith K, Christakis N. Social networks and health. Annu Rev Sociol. 2008;34:405–29.CrossRef
18.
go back to reference Friedman S, Aral S. Social networks, risk-potential networks, health, and disease. Journal of Urban Health. 2001;78:3.CrossRef Friedman S, Aral S. Social networks, risk-potential networks, health, and disease. Journal of Urban Health. 2001;78:3.CrossRef
19.
go back to reference Marsden P. (2005). Recent developments in network measurement. In: Peter J, Carrington J, Scott J, Wasserman S, editors. Models and methods in social network analysis. New York: Cambridge University Press; 2005. P. 8-30. Marsden P. (2005). Recent developments in network measurement. In: Peter J, Carrington J, Scott J, Wasserman S, editors. Models and methods in social network analysis. New York: Cambridge University Press; 2005. P. 8-30.
20.
go back to reference Wasserman S, Faust K. Social network analysis: methods and applications. New York: Cambridge University Press; 1994.CrossRef Wasserman S, Faust K. Social network analysis: methods and applications. New York: Cambridge University Press; 1994.CrossRef
21.
go back to reference Mulu W, Yimer M, Abera B. Sexual behaviors and associated factors among students at Bahir Dar University: a cross sectional study. Reprod Health. 2014;11:84.CrossRefPubMedPubMedCentral Mulu W, Yimer M, Abera B. Sexual behaviors and associated factors among students at Bahir Dar University: a cross sectional study. Reprod Health. 2014;11:84.CrossRefPubMedPubMedCentral
22.
go back to reference Marsden P, Campbell K. Measuring tie strength. Social Forces. 1984;63(2):482–501.CrossRef Marsden P, Campbell K. Measuring tie strength. Social Forces. 1984;63(2):482–501.CrossRef
23.
go back to reference Aron A. Statistics for behavioral and social sciences. New York: Prentice Hall; 1997. Aron A. Statistics for behavioral and social sciences. New York: Prentice Hall; 1997.
24.
go back to reference Petrocelli J. Hierarchical multiple regressions in counseling research: common problems and possible remedies. Meas Eval Couns Dev. 2003;36:9–22. Petrocelli J. Hierarchical multiple regressions in counseling research: common problems and possible remedies. Meas Eval Couns Dev. 2003;36:9–22.
25.
go back to reference Bachanas P, Morris M, Lewis-Gess J, Sarett-Cuasay E, Sirl K, Ries J, Sawyer M. Predictors of risky sexual behavior in African American adolescent girls: implications for prevention intervention. J Pediatr Psychol. 2002;27(6):519–30.CrossRefPubMed Bachanas P, Morris M, Lewis-Gess J, Sarett-Cuasay E, Sirl K, Ries J, Sawyer M. Predictors of risky sexual behavior in African American adolescent girls: implications for prevention intervention. J Pediatr Psychol. 2002;27(6):519–30.CrossRefPubMed
26.
go back to reference Negeri E. Assessment of risky sexual behaviors and risk perception among youths in western Ethiopia: the influences of family and peers: a comparative cross-sectional study. BMC Public Health. 2014;14(301):1–12. Negeri E. Assessment of risky sexual behaviors and risk perception among youths in western Ethiopia: the influences of family and peers: a comparative cross-sectional study. BMC Public Health. 2014;14(301):1–12.
27.
go back to reference Gurmesa T, Fessahaye A, Sisay D. Risky sexual behavior and predisposing factors among students of Jimma University, Ethiopia. Ethiop J Health Sci. 2012;22(3):170–80. Gurmesa T, Fessahaye A, Sisay D. Risky sexual behavior and predisposing factors among students of Jimma University, Ethiopia. Ethiop J Health Sci. 2012;22(3):170–80.
29.
go back to reference Majumdar D. Social support and risky sexual behavior among adolescents: the protective role of parents and best friends. J Appl Sociol. 2006;23(1):28–43.CrossRef Majumdar D. Social support and risky sexual behavior among adolescents: the protective role of parents and best friends. J Appl Sociol. 2006;23(1):28–43.CrossRef
30.
go back to reference McPherson M, Smith-Lovin L, Cook J. Birds of a feather: Homophily in social networks. Annu Rev Sociol. 2001;27:415–44.CrossRef McPherson M, Smith-Lovin L, Cook J. Birds of a feather: Homophily in social networks. Annu Rev Sociol. 2001;27:415–44.CrossRef
Metadata
Title
Social network correlates of risky sexual behavior among adolescents in Bahir Dar and Mecha Districts, North West Ethiopia: an institution-based study
Authors
Kerebih Asrese
Alemtsehay Mekonnen
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Reproductive Health / Issue 1/2018
Electronic ISSN: 1742-4755
DOI
https://doi.org/10.1186/s12978-018-0505-8

Other articles of this Issue 1/2018

Reproductive Health 1/2018 Go to the issue