Role of risk and protective factors in risky sexual behavior among high school students in Cambodia
© Yi et al; licensee BioMed Central Ltd. 2010
Received: 30 July 2009
Accepted: 12 August 2010
Published: 12 August 2010
In many developing countries, adolescents have become increasingly prone to engage in habitual risky sexual behavior such as early sexual initiation and unprotected sex. The objective of this study was to identify the operation of risk and protective factors in individual, family, peer, school, and community domains in predicting risky sexual behavior among male and female adolescents in Cambodia.
From October 2007 to January 2008, we collected data from 1,049 students aged 14 to 20 years. Risky sexual behavior was measured using a scale consisting of four items: sexual intercourse during the past three months, number of sex partners during the past three months, age at first experience of sexual intercourse, and use of condom in last sexual intercourse. The risk factors examined included substance use, depression, peer delinquency, family violence, and community violence. Studied protective factors included family support function, frequency of family dinner, and school attachment.
Of the 1,049 students surveyed, 12.7% reported sexual intercourse during the past three months. Out of those sexually active students, 34.6% reported having two or more sex partners over the same period, and 52.6% did not use a condom during their last sexual intercourse. After controlling for other covariates, a higher likelihood of risky sexual behavior remained significantly associated among male participants with higher levels of substance use, higher levels of peer delinquency, and higher family income. In contrast, risky sexual behavior did not retain its associations with any of the measured protective factors among male participants. Among female participants, a higher likelihood of risky sexual behavior remained significantly associated with higher levels of substance use, higher levels of community-violence witnessing, and lower levels of family support.
The findings suggest the importance of considering gender-related differences in the effects of risk and protective factors when designing and implementing prevention programs. In interventions for both male and female adolescents, prevention of substance use and risky sexual behavior should be integrated. For boys, efforts should focus on the reduction of peer delinquency, while, for girls, improvement of family support should be emphasized.
Quantitative and qualitative studies of the sexual knowledge and practices of adolescents reveal that a substantial number of boys and girls in many developing countries engage in sexual intercourse before their 15th birthdays . Early and unprotected sexual initiation can trigger a succession of harmful physical, emotional, and social outcomes, especially for girls . Moreover, compared with adults, adolescents are less likely to have the foresight, skills, cognitive maturity, information, and support they need to protect themselves from unwanted pregnancy, HIV, and sexually transmitted infections . In addition, the rising number of new HIV infections among this young demographic signals an urgent need to identify behavior and situations that contribute to sexual and reproductive health in adolescence .
In Cambodia, progress has been made in the battle against HIV. The estimated prevalence of HIV among adults aged 15 to 49 decreased from 2.0% in 2001 to 0.9% in 2007 . However, new challenges and complexities surrounding HIV transmission are emerging. HIV transmission is increasing between men and their regular partners . Whereas marriage traditionally marks the onset of sexual activity for the majority of females, premarital sexual activity is common among males . Furthermore, visits to commercial sex workers among young men is widespread and socially accepted . These young men may subsequently have sex with other non-commercial partners, such as their female schoolmates, and thus become a bridge population for HIV transmission. What is also clear from existing studies is that Cambodian adolescents have been vulnerable to disturbing trends of substance use and the consequent health outcomes including risky sexual behavior . Yet relatively little is known about the sexual behavior and reproductive health needs of adolescents in Cambodia.
Previous studies have identified risk and protective factors in different domains that predict risky sexual behavior in adolescents. The indentified risk factors include substance use , peer delinquency [9, 10], depression , and exposure to community violence . Regarding protective factors, risky sexual behavior has been negatively associated with parental monitoring , parental trust , family meal frequency , family structure , and school engagement . Thus the etiology of adolescent risky sexual behavior is multi-factorial. Yet there has been debate over which domains of risk or protection are more closely related to risky sexual behavior among male and female adolescents compared with others .
Including all possible risk and protective factors in a single study would present a formidable task; therefore, many scholars recommend that theory-driven models be used to direct the study of adolescent health risk behavior . In this study, we used the Social Development Model (SDM), which incorporates both risk and protective factors into a general theory of adolescent risky behavior . The SDM proposes that adolescents learn patterns of behavior from socializing agents in four main contexts: parents, peers, schools, and community. The SDM has been tested and supported in a variety of adolescent outcomes [20, 21] and across different gender as well as socio-demographic groups [22, 23]. The objective of this study was to identify the operation of risk and protective factors in individual, family, peer, school, and community domains in predicting risky sexual behavior among male and female adolescent students in Cambodia.
Study site and sampling procedure
From October 2007 to January 2008, we conducted this study in Battambang provincial town located in the north-west part of Cambodia. "Probability Proportional to Size" sampling method was used to select 10% of male and female adolescents from a list of students in each classroom from grades 7 through 12 for each of the 11 schools. Out of 2,096 students selected, 118 (5.7%) were absent on the day of data collection, 23 (1.1%) were not permitted to participate by their parents or guardians, and 12 (0.6%) were excluded because more than one-third of the questionnaire was not completed. In our analysis, we included only students in grades 10 through 12 (n = 1,049) due to the low prevalence of risky sexual behavior among students in grades 7 through 9 (n = 894).
This study was approved by the Ethical Committee of the University of Tokyo, Japan and the National Ethics Committee for Health Research, Ministry of Health, Cambodia. We initially developed the survey questionnaire in English and then translated it into Khmer, the national language of Cambodia. Another translator back-translated the questionnaire to ensure that the "content and spirit" of every original item was maintained. Some necessary modifications were made based upon comments from public health and education professionals in Cambodia. Prior to the main data collection phase, we conducted a pilot study among 273 students before constructing the final questionnaire.
One week in advance of the day designated for data collection, school principals sent a letter to the parents or guardians of the selected students. In the letter, we explained the study and gave the parents or guardians the opportunity to opt out on behalf of their children. Students also had an opportunity to refuse or to discontinue participation at any time. We ensured confidentiality by removing all personal identifiers from the questionnaires. At each school, the questionnaire was administered in a common hall. The principal investigator and two research assistants informed the participants carefully about the study and were available throughout the administration of the questionnaires to answer questions from individual students.
Variables and measurements
The expected risk factors included substance use, depression, peer delinquency, family-violence victimization, family-violence witnessing, community-violence victimization, and community-violence witnessing. Protective factors included family support function, frequency of family dinner, and school attachment. For the details of questionnaire used in this study please see 'Additional file 1.'
We collected information on age, gender, school grade, family structure (living with two-parents, a single-parent, or other adult guardians), parental occupation, parental education, monthly family income, and family accommodation (own house, rented house, relative's house, or public places). Parental education was categorized into [1 = 9 years or less, 2 = 10 years more, and 3 = don't know] and monthly family income into [1 = ≤ US$ 100, 2 = US$ 101- 300, and 3 = > US$ 300].
Risky sexual behavior
Four items constituting a risky sexual behavior scale were adapted from a previous study . We asked whether the participants had engaged in sexual intercourse during the past three months, the number of sex partners during the past three months, the age at first experience of sexual intercourse, and if the participants used a condom in their last instance of sexual intercourse. Regarding age at first experience of sexual intercourse, the responses were coded as follows: 0 if the participants never had sex, 1 if the age reported was 17 or older, 2 if the age reported was 16, 3 if the age reported was 15, 4 if the age reported was 14, and 5 if the age reported was 13 or younger. Regarding number of sex partners, the responses were coded 0 if the participants never had sex, 1 if the number reported was 1, and 2 if the number reported was 2 or more. Regarding condom use, the responses were coded 0 if the participants never had sex, 1 if the answer was "yes," and 2 if the answer was "no." The total score of these four measures was then calculated, with higher scores indicating higher levels of risky sexual behavior (Cronbach's α in our study was 0.90).
Regarding substance use, we modified related parts of the 2007 Youth Risk Behavior Survey Form, from the Center for Disease Control Youth Risk Behavior Surveillance System . We collected information regarding the use of illicit drugs (methamphetamine, heroin, ecstasy, inhalants, cocaine, or marijuana), alcohol drinking (at least a full glass of beer, wine, or liquor), and smoking (at least a whole cigarette) during the past three months. All response options were dichotomous (0 = no, 1 = yes). The total score of the three measures was calculated, with higher scores indicating higher levels of substance use (Cronbach's α in our study was = 0.72).
To measure depression, we used the Asian Adolescent Depression Scale (AADS) . The scale comprises four dimensions: negative self-evaluation (seven items), negative affect (five items), cognitive inefficiency (four items), and lack of motivation (four items) with a five-point response option ranging from (1) "Strongly disagree" to (5) "Strongly agree." The total AADS score is the sum of the 20 items, with a range from 20 to 100. A higher score indicates a higher level of depression, and an adolescent with a total score of 80 or above would be diagnosed as depressed (Cronbach's α in our study was 0.88).
Peer delinquency was assessed using a scale adapted from a previous study . Participants were asked how many of their friends engaged in various delinquent activities in the previous six months such as cutting school, damaging property, stealing, joyriding, hitting, attacking, using weapons, using drugs, or having sex with someone. The response categories included: "0 = none," "1 = few," "2 = half," "3 = most," and "4 = all." A higher score indicated a higher level of peer delinquency (Cronbach's α in our study was 0.91).
Regarding students' victimization by and witnessing of family violence, we used two yes/no questions adapted from a previous study : (1) "During the previous two years, has there been any time when you were hit, slapped, or received any physical punishment from a parent or other adult guardian?" and (2) "During the previous two years, have you seen or heard one of your parents or guardians being hit, slapped, or otherwise physically hurt by another adult in your family?"
We adapted six victimization and six witnessing items from previous research to collect information about exposure to community violence . Each item had a binary (0 = no/1 = yes) response format and addressed exposure during the previous two years. Victimization items (Cronbach's α in our study was 0.70) were: have you been (1) "beaten up or mugged;" (2) "threatened with serious physical harm;" (3) "shot or shot at with a gun;" (4) "attacked or stabbed with a knife;" (5) "chased by gangs or individuals;" and (6) "seriously wounded in an act of violence." For community-violence witnessing, we also asked students whether they had witnessed the same seven types of violence during the past two years (Cronbach's α in our study was 0.75).
Family support function
We adapted 17 items from the Family Support Function Scale (FSFS) to measure family support . The scale combines three dimensions including positive functioning, common responsibility, and negative functioning using four response options: "Rarely or never," "Sometimes," "Often," and "Almost always." The total FSFS score was calculated as the sum of the 17 items. A higher score indicated a more supportive family (Cronbach's α in our study was 0.84).
Family dinner frequency
To assess family dinner frequency, we asked "In an average week, how many times do all of the people in your family who live with you eat dinner together?" . The response options were: [0 = 0- 1 time per week, 1 = 2- 4 times per week, and 2 = 5- 7 times per week].
We measured school attachment using seven items adapted from a previous study . The seven items- "I like school," "My teachers like me," "I like my teachers," "School is fun," "I am accepted in school," "I feel like an outsider in school," and "I feel like I fit in at school"- were measured on a 4-point scale that included "Not at all," "Not much," "Some," and "A lot" as response choices. The item- "I feel like an outsider in school" was reverse coded. A higher score indicates stronger school attachment (Cronbach's α in our study was 0.65).
We first calculated the total scores on all scales used in this study. To assess bivariate associations between demographic characteristics and risky sexual behavior, Chi-square test or Fisher's exact test were used for categorical variables, and t-test or one-way analysis of variance (ANOVA) was used for continuous variables. Bivariate regression analyses were conducted to assess the unadjusted associations between risk and protective factors and risky sexual behavior stratified by gender. Multiple linear regression analyses were then performed separately for males and females to detect the independent associations between all expected predictors and risky sexual behavior. Risk and protective factors and demographic characteristics were entered simultaneously in the models if they were found to have associations with risky sexual behavior at a level of p ≤ .2 in bivariate analyses. No multicollinearity was detected in the model. We used SPSS version 15.0 (SPSS Inc, Chicago, IL) for all statistical analyses.
Of the 1,049 students surveyed, 56.5% were male, and the mean age was 17.6 years (SD = 1.3). Paternal occupations included farmer (43.4%), self-owned business (24.9%), government officers (21.4%), taxi drivers (2.8%), and retired (7.5%). Participants lived with two parents (70.1%), a single-parent (15.8%), or other adult guardians (step-parent, relatives, or in an orphanage) (14.1%). Eighty-eight percent of participants lived in their own family home, and 54.4% reported that their monthly family income was US$ 100 or less. Regarding parental education, 49.4% of fathers and 45.5% of mothers had completed ten years or more of formal education. Regarding sexual experiences, 12.7% of the participants reported sexual intercourse during the past three months. Out of these sexually active students, 34.6% had two or more sex partners during the past three months, and 52.6% did not use a condom during their last instance of sexual intercourse.
Prevalence of risky sexual behavior stratified by gender
Gender (n, %)
OR (95% CI)
Sexual intercourse- past 3 months
Two or more sex partners *
No condom use- last sex *
Comparisons of mean scores of risky sexual behavior by socio-demographic characteristics
Risky sexual behavior
≤ 17 years
≥ 18 years
≤ Grade 9
≥ Grade 10
≤ Grade 9
≥ Grade 10
Monthly family income
≤ US$ 100
> US$ 100
Type of family home
No family home
Results of bivariate regression analyses showing risk and protective factors associated with risky sexual behavior, stratified by gender
Expected risk and protective factors
Family violence- victimization
Family violence- witnessing
Community violence- victimization
Community violence- witnessing
Family support function
Family dinner frequency
Family violence- victimization
Family violence- witnessing
Community violence- victimization
Community violence- witnessing
Family support function
Family dinner frequency
Results of multiple linear regression analyses showing independent predictors of risky sexual behavior, stratified by gender
Expected risk and protective factors
Male (n = 493)
Family support function
Higher family income
Father's occupation as a farmer - 0.087
Female (n = 414)
Family support function
More frequent family dinner
Father's occupation as farmer
Higher family income
This study provides insight into the operation of risk and protective factors in different domains to predict risky sexual behavior among adolescents in Cambodia. A unique aspect of this study is that we were able to examine several predictors of risky sexual behavior among male and female students simultaneously controlled for the effects of other covariates in multivariable regression models. By using this method, we were able to uncover different characteristics of the associations across genders. Among boys, significant predictors of risky sexual behavior included substance use and peer delinquency. None of the protective factors remained significantly associated with risky sexual behavior among boys. Among girls, significant associations were found with risk factors, including substance use and community-violence witnessing, and protective factors including family support function.
Substance use was one of the most powerful predictors of risky sexual behavior among both boys and girls in this study. The finding extends the widespread evidence that substance use and risky sexual practices tend to co-occur among adolescents . This is also consistent with findings from previous research in developing countries, which has linked illicit drug or alcohol use with adolescent premarital sex and non-use of condoms . The most frequently cited explanation for the link between substance use and risky sexual behavior is sensation-seeking behavior, which is defined as a disposition characterized by the tendency to pursue novel, exciting, and optimal levels of stimulation . Another possible explanation for this co-variation is that intoxication with substances, such as alcohol or methamphetamine, may have a disorganizing effect on cognitive functions leading to poor decision-making vis-à-vis involvement with risky sexual behavior 
In this study, peer delinquency retained its significant association with risky sexual behavior among boys after controlling for the effects of other covariates. These findings support the existing research studies which suggest that the correlations between peer relationships and adolescent health risky behavior become salient due to the increases in peer affiliations that typically characterize adolescence . Peer influence seems to be the most important factor in adolescents' decision-making and risk-taking behavior . Affiliation with delinquent peers and having sexually active friends were two significant factors for initiation of early sexual intercourse among adolescents [31, 34].
The structure of peer pressure has been used to explain these associations. Peer pressure is defined as pressure from peers to "do something or to keep from doing something else, no matter if you personally want to or not" . In this way, peer delinquency can act as a source of pressure for adolescents to become involved in risky sexual practices. Being friends with delinquent peers predicts risky behavior beyond contributions from other factors . Delinquent peers provide adolescents the opportunity to expose themselves to health risks by contributing to poor decision-making . Delinquent peers are also more likely to promote maladaptive practices and adolescents who affiliate with such peers may be influenced or pressured into behaving similarly .
Regarding exposure to violence, risky sexual behavior remained significantly associated with community-violence witnessing among girls. These findings are supported by stress and coping theory which posits that violence exposure precipitates maladaptive coping strategies that serve to elude thoughts and feelings about the stressors . Consistent with this notion, our findings may indicate that adolescent girls who had been exposed to violence practice risky behavior, such as early sexual initiation or unprotected sexual intercourse, to self-medicate the distress caused by their experience of neighborhood violence.
It is worth noting that the protective factors examined in this study had only limited protective effects against risky sexual behavior. Family support function remained significantly associated with risky sexual behavior only among girls, while other protective factors did not remain significant predictors in both genders. The non-significant associations do not support a growing body of literature which suggests that protective factors are also important in adolescent health outcomes, either by exerting positive influences with a canceling effect of risk factors, or by buffering the negative effects of risk factors .
The non-significant findings in this study can be explained by assuming that the effects of protective factors on adolescent behavior were channeled by other factors such as deviant peer involvement owing to the decreases in family bonding and increases in peer affiliation during adolescence . The adolescents' closeness to their parents and teachers plays a less central role in their lives as they progress through adolescence into young adulthood [40, 41]. The inconsistency of the findings might be caused in part by the differences in the characteristics of the participants and our inability to control for potential third factors.
Nevertheless, our findings do not necessarily imply that family and school influences are not important. Parents and teachers may be important in influencing adolescents' early orientation toward peers . Adolescents who have harmonious relationships with their family members are less likely to associate with delinquent peers . Parents also provide social norms related to appropriate behavior, as well as having an important function in the supervision and monitoring of adolescents' tendencies towards inappropriate behavior. This relationship is more complex, as weakened bonds to family and school and risky behavior operate in an interactional manner, with mutual and simultaneous influences on one another . Furthermore, the magnitude and significance of covariates generally depend on the choice and availability of variables. Interpretation of the relative influence of protective factors should thus be approached with great caution.
In this study, several limitations merit discussion. First, the study's cross-sectional design prohibited us from identifying causal relationships between the predictors and risky sexual behavior . For example, it remained unclear whether negative life events, such as substance use, contributed to risky sexual involvement, or, conversely, whether risky sexual practices were the cause of the substance use. A study with a longitudinal design is needed to address this shortcoming. The second limitation concerns the representativeness of the sample. Although students from a wide range of socio-economic background were included, the findings may not necessarily generalize to students living in more rural areas or out-of-school adolescents whose living conditions and life style may be different.
Third, as with any self-reported measures, there are inherent biases and the potential for both underreporting and over-reporting in the variables . Given the cultural norms governing sexual behavior, it is likely that the gender difference is caused in part by over-reporting by boys and under-reporting by girls . Fourth, findings from our study might be limited by the unknown reliability and validity of the scales which were adapted from previous studies conducted in developed countries. The final limitation concerns the fact that we collected only behavioral data which may not reflect the adolescents' actual risk for HIV or sexually transmitted infections.
Despite these limitations, our findings contribute to the literature in several ways. The findings indicate that substance use and peer delinquency were the most important predictors of risky sexual behavior among male adolescents, while substance use, community-violence witnessing, and family support function play important roles in predicting risky sexual behavior among female adolescents. Our results suggest the importance of considering gender-related differences when designing and implementing prevention programs. Interventions that emphasize different domains of the risk and protective factors in an integrated manner across genders may be the most effective. Among both boys and girls, reduction of substance use and risky sexual behavior should be incorporated into preventive programs. At the same time, reduction of peer delinquency should be the primary focus for interventions targeting boys, while improvement of family support should be emphasized in interventions targeting girls.
The authors thank school directors, teachers, and students for their contribution to this study. Without support from the National Institute of Public Health, Battembang Provincial Health Department, and Battembang Provincial Department for Education, Youth and Sports, Cambodia, the research might have been impossible. Special thanks go to H.E Dr. Sam An Ung and Rachel M. Amiya for their valuable advice and comments.
- Dixon-Mueller R: Starting young: Sexual initiation and HIV prevention in early adolescence. AIDS Behav. 2009, 13: 100-109. 10.1007/s10461-008-9376-2.View ArticlePubMedGoogle Scholar
- Jejeebhoy SJ, Shah I, Thapa S, (Eds): Sex without consent: Young people in developing countries. 2005, New York and London: Zed Books
- Bankole A, Biddlecom A, Guiella G, Singh W, Zulu E: Sexual behavior, knowledge and information sources of very young adolescents in four Sub-Saharan African countries. Afr J Reproduct Health. 2007, 11: 28-43. 10.2307/25549730.View ArticleGoogle Scholar
- UNAIDS-Joint United Nations Programme on HIV/AIDS: Epidemiological country profile on HIV and AIDS: Cambodia. Summary Epidemiological Fact Sheets. 2008Google Scholar
- Hor B, Detels R, Heng S, Mun P: The role of sex worker clients in transmission of HIV in Cambodia. Int J STD AIDS. 2005, 16: 170-174. 10.1258/0956462053057567.View ArticlePubMedGoogle Scholar
- Douthwaite MR, Sareoun L: Sexual behavior and condom use among unmarried young men in Cambodia. AIDS Care. 2006, 18: 505-513. 10.1080/13548500500221537.View ArticlePubMedGoogle Scholar
- Powis N: Cambodia's youth face disturbing trends of drug use and HIV infection. Asian Harm Reduction Network (AHRN) News. 2004, Double issue 35 & 36, May-December 2004, [http://www.ahrn.net]Google Scholar
- Palen LA, Edward AS, Flisher AJ, Caldwell LL, Mpofu E: Substance use and sexual risk behavior among South African eighth grade students. J Adolesc Health. 2006, 39: 761-763. 10.1016/j.jadohealth.2006.04.016.View ArticlePubMedGoogle Scholar
- Carter M, McGee R, Taylor B, Williams S: Health outcomes in adolescence: Associations with family, friends, and school engagement. J Adolesc. 2007, 30: 51-62. 10.1016/j.adolescence.2005.04.002.View ArticlePubMedGoogle Scholar
- Le TN, Kato T: The role of peer and culture inrisky sexual behavior for Cambodian and Lao/Mien adolescents. J Adolesc Health. 2006, 38: 288-296. 10.1016/j.jadohealth.2004.12.005.View ArticlePubMedGoogle Scholar
- Brown KL, Tolou-Shams M, Lescano C, Houck C, Zeidman J, Pugatch D, Louries KJ, Project Shield Study Group: Depressive symptoms as a predictor of sexual risk among African American adolescents and young adults. J Adolesc Health. 2006, 39: 444.e 1-444.e 8.Google Scholar
- Brady SS: Lifetime community violence exposure and health risk behavior among young adults in college. J Adolesc Health. 2006, 39: 610-613. 10.1016/j.jadohealth.2006.03.007.View ArticlePubMedGoogle Scholar
- Wight D, Williamson L, Henderson M: Parental influences on young people's sexual behavior: A longitudinal analysis. J Adolesc. 2006, 29: 473-473. 10.1016/j.adolescence.2005.08.007.View ArticlePubMedGoogle Scholar
- Borawski EA, Ievers-Landis CE, Lovegreen LD, Trapl ES: Parental monitoring, negotiated unsupervised time, and parental trust: The role of parenting practices in adolescent health risk behaviors. J Adolesc Health. 2003, 33: 60-70. 10.1016/S1054-139X(03)00100-9.View ArticlePubMedPubMed CentralGoogle Scholar
- Fulkerson JA, Story M, Mellin A, Leffert N, Neumark-Sztainer D, French SA: Family dinner meal frequency and adolescent development: Relationship with development assets and high-risk behaviors. J Adolesc Health. 2006, 39: 337-337. 10.1016/j.jadohealth.2005.12.026.View ArticlePubMedGoogle Scholar
- Peres CA, Rutherford G, Borges G, Galano E, Hudes ES, Hearst N: Family structure and adolescent sexual behavior in a poor area of Sao Paulo, Brazil. J Adolesc Health. 2008, 42: 177-183. 10.1016/j.jadohealth.2007.08.007.View ArticlePubMedGoogle Scholar
- Cleveland MJ, Feinberg M, Bontempo DE, Greenberg MT: The role of risk and protective factors in substance use across adolescence. J Adolesc Health. 2008, 43: 157-157. 10.1016/j.jadohealth.2008.01.015.View ArticlePubMedPubMed CentralGoogle Scholar
- Bursik RJ, Grasmick HG: The use of contextual analysis in models of criminal behaviors. Delinquency and Crime: Current Theories. Edited by: Hawkins JD. 1996, New York: Cambridge University Press, 236-267.Google Scholar
- Catalano RF, Hawkins JD: The social development model: A theory of antisocial behavior. Delinquency and Crime: Current Theories. Edited by: Hawkins JD. 1996, New York: Cambridge University Press, 149-197.Google Scholar
- Catalano RF, Kosterman R, Hawkins JD, Newcomb MD, Abbott RD: Modeling the etiology of adolescents substance use: A test of the social development model. J Drug Issues. 1996, 26: 429-455.View ArticlePubMedPubMed CentralGoogle Scholar
- Lonczak HS, Huang B, Catalano RF, Hawkins JD, Hill KG, Abbott RD, Ryan JA, Kosterman R: The social predictors of adolescent alcohol misuse: A test of the social development model. J Studies Alcohol. 2001, 62: 179-189.View ArticleGoogle Scholar
- Hill KG, Hawkins JD, Catalano RF, Abbott RD, Guo J: Family influences on the risk of daily smoking initiation. J Adolesc Health. 2005, 37: 202-210. 10.1016/j.jadohealth.2004.08.014.View ArticlePubMedGoogle Scholar
- Catalano RF, Oxford ML, Harachi TW, Abbott RD, Haggerty KP: A test of the social development model to predict problem behavior during the elementary school period. Crim Behav Ment Health. 1999, 9: 39-56. 10.1002/cbm.290.View ArticleGoogle Scholar
- The Center for Disease Control (CDC), National Center for Chronic Disease Prevention and Health Promotion: Youth Risk Behavior Survey Form (YRBSS, 2007). [http://www.cdc.gov/healthyyouth/yrbs/index.htm]
- Woo BS, Chang WC, Fung DSS, Koh JB, Leong JS, Kee CH, Seah CKF: Development and validation of a depression scale for Asian adolescents. J Adolesc. 2004, 27: 677-677. 10.1016/j.adolescence.2003.12.004.View ArticlePubMedGoogle Scholar
- Bensley L, Eenwyk JV, Simmons KW: Childhood family violence history and women's risk for intimate partner violence and poor health. Am J Prev Med. 2003, 25: 38-38. 10.1016/S0749-3797(03)00094-1.View ArticlePubMedGoogle Scholar
- Vermeiren R, Schwab-Stone M, Deboutte D, Leckman PE, Ruchkin V: Violence exposure and substance use in adolescents: Findings from three countries. Pediatrics. 2003, 111: 535-535. 10.1542/peds.111.3.535.View ArticlePubMedGoogle Scholar
- Hu G, Sun Z, Hu M, Xia Q, Yin X, Zheng L, Castillo RC: Brief report: Development of a brief scale to assess family support function among Chinese high school students. J Adolesc. 2007, 30: 879-879. 10.1016/j.adolescence.2007.05.005.View ArticlePubMedGoogle Scholar
- Henry KL, Slater MD: The contextual effect of school attachment on young adolescents' alcohol use. J School Health. 2007, 77: 67-67. 10.1111/j.1746-1561.2007.00169.x.View ArticlePubMedGoogle Scholar
- Tapert SF, Aarons GA, Sedlar GR, Brown SA: Adolescent substance use and sexual risk-taking behavior. J Adolesc Health. 2001, 28: 181-181. 10.1016/S1054-139X(00)00169-5.View ArticlePubMedGoogle Scholar
- Mmari K, Blum RW: Risk and protective factors that affect adolescent reproductive health in developing countries: A structured literature review. Global Public Health. 2009, 4: 350-366. 10.1080/17441690701664418.View ArticlePubMedGoogle Scholar
- Zuckerman M, Eysenck S, Eysenck HJ: Sensation seeking in England and America: Cross-cultural, age, and sex comparisons. J Consult Clin Psych. 1978, 46: 139-149. 10.1037/0022-006X.46.1.139.View ArticleGoogle Scholar
- Bell DC, Trevino RA, Atkinson JS, Carlson JW: Motivations for condom use and nonuse. Clin Lab Science. 2003, 16: 20-20.Google Scholar
- Whitbeck LB, Hoyt DR, Miller M, Kao MY: Parental support, depressed affect, and sexual experience among adolescents. Youth Soc. 1992, 24: 166-177. 10.1177/0044118X92024002003.View ArticleGoogle Scholar
- Brown BB, Dolcini MM, Leventhal A: Transformation in peer relationships of adolescents: implications for health-related behavior. Health Risks and Developmental Transactions During Adolescence. Edited by: Schulenberg J, Maggs J, Hurrelmann K. 1997, New York, Cambridge University PressGoogle Scholar
- Clasen DR, Brown BB: The multidimensionality of peer pressure in adolescence. J Youth Adolesc. 1985, 14: 451-451. 10.1007/BF02139520.View ArticlePubMedGoogle Scholar
- Kliewer W, Murrelle L: Risk and protective factors for adolescent substance use: Findings from a study in selected Central American countries. J Adolesc Health. 2007, 40: 448-455. 10.1016/j.jadohealth.2006.11.148.View ArticlePubMedGoogle Scholar
- Lazarus RS, Folkman S: Stress, appraisal, and coping. 1984, New York, NY: SpringerGoogle Scholar
- Ostaszewski K, Zimmerman MA: The effects of cumulative risks and promotive factors on urban adolescent alcohol and other drug use: A longitudinal study of resiliency. Am J Comm Psych. 2006, 38: 237-249. 10.1007/s10464-006-9076-x.View ArticleGoogle Scholar
- Rice F: The adolescent: Development, relationship, and culture. 1999, Boston, MA: Allyn and BaconGoogle Scholar
- Scales PC: Reducing risks and building developmental assets: essential actions for promoting adolescent health. J School Health. 1999, 69: 113-9. 10.1111/j.1746-1561.1999.tb07219.x.View ArticlePubMedGoogle Scholar
- O'Donell CR: Culture, peers, and delinquency: Implications for the community-peer model of delinquency. Edited by: O'Donell CR. 2003, Culture, peers, and delinquency. NY: The Haworth Press, IncGoogle Scholar
- Werner NE, Silbereisen RK: Family relation quality and contact with deviant peers as predictors of adolescent problem behaviors: The moderating role of gender. J Adolesc Res. 2003, 18: 454-480. 10.1177/0743558403255063.View ArticleGoogle Scholar
- Thornberry TP, Lizotte AJ, Krohn MD, Farnworth M, Jang SJ: Testing interactional theory: An examination of reciprocal causal relationships among family, school, and delinquency. J Crim Law and Crimino. 1991, 82: 3-35. 10.2307/1143788.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/10/477/prepub