Kaohsiung Journal of Medical Sciences
Volume 25, Issue 4 , Pages 193-202, April 2009

Multidimensional Discriminative Factors for Unprotected Sex Among Adolescents in Southern Taiwan

  • Cheng-Fang Yen

      Affiliations

    • Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University;, Kaohsiung, Taiwan
    • Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University;, Kaohsiung, Taiwan
  • ,
  • Chung-Ping Cheng

      Affiliations

    • Department of Psychology and Research Center for Mind, Brain, and Learning, National Chengchi University;, Kaohsiung, Taiwan
  • ,
  • Shing-Yaw Wang

      Affiliations

    • Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University;, Kaohsiung, Taiwan
    • Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University;, Kaohsiung, Taiwan
  • ,
  • Nai-Ying Ko

      Affiliations

    • Department of Nursing, College of Medicine, National Cheng Kung University;, Kaohsiung, Taiwan
  • ,
  • Su-Ting Hsu

      Affiliations

    • Department of Psychiatry, Chang-Gung Memorial Hospital–Kaohsiung Medical Center;, Kaohsiung, Taiwan
    • School of Medicine, Chang-Gung University, Kaohsiung, Taiwan
    • Corresponding Author InformationAddress correspondence and reprint requests to: Dr Su-Ting Hsu, Department of Psychiatry, Chang Gung Memorial Hospital, 123 Ta-Pei Road, Niao-Sung Hsiang, Kaohsiung 833, Taiwan

Received 27 October 2008; accepted 30 March 2009.

Article Outline

Establishing the discriminative factors for unprotected sex among adolescents is essential for early identification of at-risk teens and for the prevention of unplanned pregnancy and sexually transmitted diseases. The aim of this study was to examine the discriminative effects of demographic, individual, family, peers, and school life factors on unprotected sex in a large-scale, representative adolescent population in Southern Taiwan. A total of 9,736 adolescent students were recruited into this study and completed the questionnaires. The multidimensional discriminative factors for unprotected sex were examined using χ2 automatic interaction detection analysis and logistic regression models. The results of the χ2 automatic interaction detection analysis revealed that having friends, using illicit drugs, being of an older age, suspension from school, and low family monitoring had discriminative effects on unprotected sex in adolescents. The logistic regression analysis further confirmed the discriminative effect of these factors. Because of the adverse effects of unprotected sex in adolescents, we suggest that parents and health professionals should pay attention to adolescents with the discriminative factors for unprotected sex identified in this study.

Key Words:  adolescents , condom use , risk indicator , safe sex

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References 

  1. White SD , DeBlassie RR . Adolescent sexual behavior . Adolescence . 1992;27:183–191
  2. Aral SO . Sexual behavior in sexually transmitted disease research: an overview . Sex Transm Dis . 1994;21:S59–S64
  3. Chen Y , Stiffman AR , Cheng L , et al.   Mental health, social environment and sexual risk behaviors of adolescent service users: a gender comparison . J Child Fam Stud . 1997;6:9–25
  4. Santelli JS , Beilenson P . Risk factors for adolescent sexual behavior, fertility, and sexually transmitted diseases . J Sch Health . 1992;62:271–279
  5. Lerner RM , Castellino DR . Contemporary developmental theory and adolescence: Developmental systems and applied developmental science . J Adoles Health . 2002;31:122–135
  6. Le TN , Kato T . The role of peer, parent, and culture in risky sexual behavior for Cambodian and Lao/Mien adolescents . J Adolesc Health . 2006;38:288–296
  7. Atav S , Spencer GA . Health risk behaviors among adolescents attending rural, suburban, and urban schools: a comparative study . Fam Community Health . 2002;25:53–64
  8. Hogan DP , Astone NM , Kitagawa EM . Social and environmental factors influencing contraceptive use among black adolescents . Fam Plann Perspect . 1985;17:165–169
  9. Brooks TL , Harris SK , Thrall JS , et al.   Association of adolescent risk behaviors with mental health symptoms in high school students . J Adolesc Health . 2002;31:240–246
  10. Shrier LA , Harris SK , Sternberg M , et al.   Associations of depression, self-esteem, and substance use with sexual risk among adolescents . Prev Med . 2001;33:179–189
  11. Graves K , Leigh B . The relationship of substance use to sexual activity among young adults in the United States . Fam Plann Perspect . 1995;27:18–22
  12. Berkovitz IH . Healthy development of sexuality in adolescents: the school's contribution . Med Aspects Hum Sex . 1985;19:34–49
  13. Billy JOG , Udry JR . The influence of male and female best friends on adolescent sexual behavior . Adolescence . 1985;20:21–32
  14. Flewelling RL , Bauman KE . Family structure as a predictor of initial substance use and sexual intercourse in early adolescence . J Marriage Fam . 1990;52:171–180
  15. Kirby D . Antecedents of adolescent initiation of sex, contraceptive use, and pregnancy . Am J Health Behav . 2002;26:473–485
  16. Markham CM , Tortolero SR , Escobar-Chaves SL , et al.   Family connectedness and sexual risk-taking among urban youth attending alternative high schools . Perspect Sex Reprod Health . 2003;35:174–179
  17. Baker JG , Rosenthal SL , Leonhardt D , et al.   Relationship between perceived parental monitoring and young adolescent girls' sexual and substance use behaviors . J Pediatr Adolesc Gynecol . 1999;12:17–22
  18. Tschann JM , Flores E , Marin BV , et al.   Interparental conflict and risk behaviors among Mexican American adolescents: a cognitive-emotional model . J Abnorm Child Psychol . 2002;30:373–385
  19. Metzler CW , Noell J , Biglan A , et al.   The social context for risky sexual behavior among adolescents . J Behav Med . 1994;17:419–438
  20. Ministry of the Interior  . 2001 Taiwan-Fukien Demographic Fact Book, Republic of China . Taipei, Taiwan: Executive Yuan; 2002; [In Chinese]
  21. Yen CF . Relationship between methamphetamine use and risky sexual behavior in adolescents . Kaohsiung J Med Sci . 2004;20:160–165
  22. Chien CP , Cheng TA . Depression in Taiwan: epidemiological survey utilizing CES-D . Seishin Shinkeigaku Zasshi . 1985;87:335–338
  23. Radloff LS . The CSE-D scale: a self-report depression scale for research in the general population . Appl Psychol Measurement . 1977;1:385–401
  24. Yang HJ , Soong WT , Kuo PH , et al.   Using the CES-D in a two-phase survey for depressive disorders among nonreferred adolescents in Taipei: a stratum-specific likelihood ratio analysis . J Affect Disord . 2004;82:419–430
  25. Yen CF , Yang YH , Ko CH , et al.   Substance initiation sequences among Taiwanese adolescents using methamphetamine . Psychiatry Clin Neurosci . 2005;59:683–689
  26. Yen CF , Shieh BL . Suicidal ideation and correlates in Taiwanese adolescent methamphetamine users . J Nerv Ment Dis . 2005;193:444–449
  27. Yen CF , Yang YS , Chong MY . Correlates of methamphetamine use for Taiwanese adolescents . Psychiatry Clin Neurosci . 2006;60:160–167
  28. Chau TT , Hsiao TM , Huang CT , et al.   A preliminary study of family Apgar index in the Chinese . Kaohsiung J Med Sci . 1991;7:27–31
  29. Smilkstein G . The family APGAR: a proposal for a family function test and its use by physicians . J Fam Pract . 1978;6:1231–1239
  30. SPSS Inc.  . Answer Tree 3 User's Guide . Chicago: SPSS Inc.; 2001;
  31. Oetting ER , Beauavis F . Peer cluster theory, socialization characteristics, and adolescent drug use: a path analysis . J Couns Psychol . 1987;34:205–213
  32. Hesselbrock MN , Hesselbrock VM , Epstein EE . Theories of etiology of alcohol and other drug use disorders . In:  McCrady BS ,  Epstein EE editor. Addictions: A Comprehensive Guidebook . 1st edition. New York: Oxford University Press; 1999;p. 50–72
  33. Kapur M . Mental Health in Indian Schools . New Delhi: Sage Publications; 1997;
  34. Reiff MI . Adolescent school failure: failure to thrive in adolescence . Pediatr Rev . 1998;19:199–207
  35. Hay I . Gender self-concept profiles of adolescents suspended from high school . J Child Psychol Psychiatry . 2000;41:345–352
  36. Cromer BA , Smith RD , Blair JM , et al.   A prospective study of adolescents who choose among levonorgestrel implant (Norplant), medroxyprogesterone acetate (Depo Provera), or the combined oral contraceptive pill as contraception . Pediatrics . 1994;93:687
  37. Rosenthal SL , Cohen SS , Biro FM , et al.   How do family characteristics relate to interpersonal expectations regarding STD acquisition among adolescent girls . Fam System Health . 1996;14:465
  38. Crouter AC , MacDenid SM , McHale SM , et al.   Parental monitoring and perceptions of children's school performance and conduct in dualand single-earner families . Dev Psychol . 1990;26:649–657

PII: S1607-551X(09)70060-9

doi:10.1016/S1607-551X(09)70060-9

Kaohsiung Journal of Medical Sciences
Volume 25, Issue 4 , Pages 193-202, April 2009