Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Perspect Sex Reprod Health. 2018 Feb 20;50(1):15–23. doi: 10.1363/psrh.12053

How Patterns of Learning About Sexual Information Among Adolescents Are Related to Sexual Behaviors

Amy Bleakley 1, Atika Khurana 2, Michael Hennessy 3, Morgan Ellithorpe 4
PMCID: PMC5844858  NIHMSID: NIHMS942456  PMID: 29461684

Abstract

CONTEXT

Parents, peers and media are informal sources of sexual information for adolescents. Although the content of sexual information communicated by these sources is known to vary, little is known about what adolescents report actually learning from each source.

METHODS

Data from 1,990 U.S.14–17-year-olds who participated in an online survey in 2015 were used to assess learning about four topics (sex, condoms, hormonal birth control and romantic relationships) from three informal sources (parents, peers, and television and movies). Gender and race differences in learning by source and topic were assessed using t tests. Following a factor analysis, learning about all topics was grouped by source, and regression analyses were conducted to examine associations between learning from each source and three outcomes: sexual activity, condom use and hormonal birth control use. Models included interactions between information sources and race and gender.

RESULTS

White adolescents reported learning more from parents and less from media than black adolescents. Compared with males, females learned more about hormonal birth control and less about condoms from their parents, and more about relationships from peers and media. Learning from parents and from peers were positively associated with adolescents’ sexual activity (unstandardized coefficients, 0.26 and 0.52, respectively). Learning from parents was positively associated with condom use (odds ratio, 1.5).

CONCLUSION

Adolescents’ learning about sex from informal sources varies by race and gender. Future research should examine whether sexual health interventions and message development can capitalize on these differences.


Adolescence is when young people typically begin to explore their sexuality and become socialized with regard to romantic and sexual relationships. During this process, adolescents receive information about sex and sexuality from both formal sources, such as school-based sex education programs and health practitioners, and informal sources, such as parents and television. Informal sources in particular transmit and model norms, values and scripts pertaining to sex and gender roles.1 Parents, peers and media are the most frequently relied upon informal sources for information about sex and sex-related topics, such as relationships and birth control,14 and are often the focus of efforts to promote safer sexual behaviors (e.g., interventions to improve parent-adolescent communication about sex).5,6

Given the high rates of STDs, including HIV, among U.S. adolescents,7 and that the frequency of formal sex education has declined across the United States,8 it has become increasingly important to investigate how patterns of sexual learning from informal sources are linked to adolescents’ sexual behaviors. In this study, we investigate the extent to which adolescents report learning about certain sexual topics from specific informal sources and whether learning from each source is associated with sexual behavior.

SOURCES OF SEXUAL LEARNING

Although adolescents prefer to receive sexual information from parents rather than from other formal or informal sources,9 evidence on the relationships between parent-adolescent communication about sex and adolescents’ sexual attitudes and behaviors is inconsistent, varying by outcome of interest. Most longitudinal investigations have found that such communication is associated with adolescents’ lower sexual risk taking.10,11 According to a meta-analysis of three decades of research, by Widman et al., parental communication is associated with a small increase in condom and contraceptive use.12 A literature review by Rogers on the mechanism through which these associations operate suggests that parental communication is related to more positive attitudes and self-efficacy with regard to condom use, which in turn influence sexual intentions and behaviors such as delayed intercourse and consistent condom use.13 However, other studies—most of which are cross-sectional—have found parental communication to be associated with increased sexual behavior among adolescents,14,15 likely because parental communication often occurs after young people have begun to engage in sexual activity.15

Learning about sex from peers is associated with adolescents’ positive beliefs about having sex3 (i.e., that good things will happen if they have sex) and with their perceptions of high peer involvement in risk behaviors,16 which in turn are associated with their engagement in those same behaviors.17 Adolescents who frequently communicate with their friends about sex hold more positive expectancies about the social benefits (e.g., having sex will increase popularity) and pleasure associated with sex, and are less likely to have expectancies about social risk (e.g., sex may lead to social stigma or loss of self-respect).18

In addition to explicit discussions about sex with friends, adolescents learn about sex from their peers through the transmission of norms. Social cognitive theory describes this process as “observational learning” or “behavioral modeling.”19 Adolescents are more likely to imitate the behavior of peers if they perceive that engaging in that behavior is associated with certain rewards (e.g., increased pleasure, greater social benefits).

Adolescents learn about sex from media—specifically, television and movies—similarly to the way that they learn from peers.20 Through observational learning, adolescents may adopt sexual scripts and behaviors that they see in entertainment materials.1 In some cases, young people choose media with sexual content to learn about sex-related topics of interest.3,21 Sexual material in television shows and movies popular with adolescents is well documented.2224 Television content often depicts premarital sex as normative and portrays human sexuality as following gendered stereotypes.25 It rarely features any messages about the physical consequences of sex; however, negative emotional and social consequences are evident in some types of teenage programming.26 Exposure to sexual content in media tends to be associated with increased sexual activity, earlier sexual initiation and unplanned pregnancy.2732

The different relationships between informal sources of information and adolescents’ sexual behavior are often attributed to differences in how and what type of information is conveyed. Learning about sex from parents primarily occurs through the transmission of values and expectations, and parental communication of knowledge tends to focus on biological topics (e.g., menstruation, reproduction) and the negative consequences of sex (e.g., STDs).3335 In contrast, communication with peers about sex tends to focus on dating, relationships, partner attractiveness and more positive aspects of sex.36 Peers and media content primarily convey social norms.37 Media provide adolescents with scripts about how to talk about sex and how to behave; much of the sexual content on television has more sexual talk than depictions of behavior.3840 However, learning about sex from peers and especially media more likely occurs through observational learning and modeling that may not be captured by focusing exclusively on the kinds of discussions or communication that characterize adolescent-parent interactions. And although we know that the content of sexual information being communicated to adolescents varies by source, less is known about what adolescents report actually learning from each source.

Furthermore, research has identified heterogeneity in adolescents’ receipt of sexual information by their gender, race and ethnicity.34 Adolescent females are more likely than males to discuss most sexual health topics with their parents and friends2,41 (the main exception being condom use);8 males are more likely than females to use media as an information source.2,23,24,41 Findings from the National Survey of Family Growth indicate that adolescent females’ sexual discussions with their parents are most often about STDs, birth control and how to say no to sex, whereas adolescent males’ discussions are most often about STDs and how to use condoms.8 White males are less likely than their black and Hispanic counterparts to talk with parents about HIV and AIDS, and black males are more likely to discuss using a condom;8 Hispanic and black females are more likely than white females to talk about using a condom. A more-nuanced understanding of how youth of different genders, races and ethnicities receive sexual information may help to understand the relationship between receipt of information and behaviors when other informal sources are taken into account.

CURRENT STUDY

We used survey data from a national sample of U.S. adolescents to examine patterns of learning about four sexual topics (sex, condoms, birth control and romantic relationships) from three informal sources (parents, peers, and television and movies). Our analysis aimed to determine whether adolescents learn from one source about all topics or they learn about some topics from one source and some from others. Finally, we investigated how learning from the different sources is associated with three behavioral outcomes: sexual activity, condom use and birth control use.

METHODOLOGY

Participants were recruited from opt-in, online panels conducted by the survey company GfK between November 13, 2015, and December 14, 2015. GfK screened panel members to identify white and black non-Hispanic U.S. 14–17-year-olds or parents of such adolescents, who then were invited by e-mail to participate in a survey. Parents were asked to consent to their adolescent’s participation, and those who gave consent were asked to bring their adolescent to the computer to complete the survey. All participants were given assent information before beginning the survey. The study protocol was approved by institutional review board of the University of Pennsylvania.

A total of 1,990 youth were recruited. Blacks were oversampled so that there was roughly an equal number of black and white respondents (1,000 and 990, respectively).

Measures

  • Sources of information. Respondents were asked how much they had “learned about the following topics” from their parents, from their peers, and from television and movies: sexual intercourse, condoms, hormonal birth control and romantic relationships. All items were measured on a four-point scale ranging from “nothing at all” to “a lot.”

  • Sexual activity. We created an ordered difficulty index42 of sexual activity in the past six months43 by summing the number of the following nine behaviors adolescents reported having engaged in, listed here in order of difficulty: kissing, touching or being touched over clothes, touching a partner’s breasts or having one’s breasts touched, touching a partner’s private parts, seeing a partner naked, being naked with a partner, receiving oral sex, having vaginal sex and performing oral sex. We used the Loevinger’s H coefficient44 to assess the extent to which the behaviors were ordered; the closer the coefficient is to 1.00, the higher the likelihood that a respondent reporting any given behavior had also engaged in all of the less difficult behaviors. The Loevinger’s H coefficient was 0.89. For the sum of the items, the KR-20, a measure of reliability for dichotomous measures that can range between zero and 1.00, was 0.94.

  • Condom use. Respondents were asked whether they or their partner had used a condom the last time they had sexual intercourse; response options were “yes,” “no” and “I have never had sexual intercourse.”

  • Birth control use. Respondents were asked whether they or their partner had used “hormonal birth control (e.g., the pill, patch, ring, shot, etc.)” the last time they had sexual intercourse; response options were “yes,” “no” and “I have never had sexual intercourse.”

  • Covariates. Demographic characteristics included age, gender, race, current receipt of free or reduced-cost lunch at school and mother’s level of education (dichotomized as less than college or at least college). In addition, we controlled for sensation seeking and impulsivity—two personality traits that are well-established risk factors for early and risky sexual activity.45 We measured sensation seeking by the four items in the Brief Sensation Seeking Scale46 (e.g., “I like new and exciting experiences, even if I have to break the rules”); responses were measured on a five-point scale ranging from “strongly disagree” to “strongly agree, and then averaged (Cronbach’s alpha, 0.87). Impulsivity was measured by nine dichotomous items adapted from the Junior Eysenck Impulsivity scale47 (e.g., “Do you usually do and say things without stopping to think?”); the scale was scored as the average of the items (KR-20, 0.80).

We also controlled for parental variables associated with sexual behavior outcomes: perceived parental monitoring and perceived parental involvement.48,49 Parental monitoring was based on eight items. For example, adolescents were asked how often their parents know “what you are doing during your free time” and “when you have an exam or paper due at school.” Responses were measured on a five-point scale ranging from “never” to “always,” and were averaged (Cronbach’s alpha, 0.92). Parental involvement was assessed using three items, in which respondents indicated how often their parents or caregivers spend time just talking with them or eat dinner with them, and how often their family does something fun together. Responses were measured on a four-point scale ranging from “never” to “almost everyday” and were averaged (polychoric alpha, 0.84).

Finally, we controlled for the daily amount of time respondents reported spending watching television or movies and being on the Internet, where they could access video content. Participants were asked the number of hours they spent watching television or movie content in the previous day during each of the follow periods: before noon, between noon and six P.M., and after six P.M. To have a maximum of 24 hours, responses greater than six hours for the period between noon and six were recoded as six hours, and responses greater than nine hours for the other two periods were recoded as nine; responses were then summed to create a measure of hours per day. The same process was repeated for daily Internet time.

Analysis

Descriptive statistics were calculated for all variables of interest, and we report frequencies for sources of learning by topic; t tests were used to test for mean differences by gender and race. To test whether adolescents tend to use the same source for all topics or specific sources for certain topics, we conducted an exploratory factor analysis using oblique rotation assuming correlated factors. We used an Eigenvalue of at least 1 to determine whether the 12 items on learning (four topics for each of the three sources) loaded onto a “source” factor (i.e., several topics are learned from the same source), a “topic” factor (i.e., specific topics are learned from specific sources) or some combination. We report the proportion of variance in the measures that is explained by each. After creating scales for each factor, we used Pearson’s r to determine how they were associated with one another.

We used regression analyses to estimate associations between sources of information and sexual behavior outcomes; adolescents who had not had sex were omitted from the regression analyses on condom and hormonal birth control use. Linear regression was used for the continuous sexual activity outcome, and logistic regression was used for the dichotomous condom use and hormonal birth control use outcomes; we report unstandardized coefficients and odds ratios, respectively. Moderation of the relationships between each information source and adolescent gender and race was estimated by separately entering each interaction term into the regression models to reduce multicollinearity issues that arise from including multiple interaction terms in a model. For improved interpretation, coefficients for all variables were estimated prior to inclusion of the interaction terms. We estimated the slopes of the variables in the interactions using Stata’s lincom command. To display interaction results, we graph statistically significant interactions (which is the recommended method50,51) because the combined effect of nonlinear regression coefficients and their interactions are difficult to visualize from examination of the individual coefficients. The graphs show the linear prediction of the dependent variable (i.e., regression slope) by an information source (e.g., peers) for each group (e.g., males and females) being compared. All analyses were conducted using Stata 14.0.

RESULTS

Forty-nine percent of respondents were female, and adolescents’ average age was 15.6 years (Table 1 ). Forty-seven percent received free or reduced-cost lunch, and 43% reported that their mother had at least a college education. The mean sexual activity score for the sample was 2.1, which means that, on average, adolescents in the sample had kissed and had touched a partner over his or her clothes. Seventy-three percent of respondents had never had sex. Of those who had, 70% had used a condom at last sex and 43% had used hormonal birth control at that time.

TABLE 1.

Selected characteristics of a sample of U.S. adolescent respondents to an online survey assessing learning about sexual information, 2015

Characteristic % or mean(N=1,990)
DEMOGRAPHIC
Gender
Male 51
Female 49
Age
14 21.3
15 25.7
16 26.0
17 27.0
Mean 15.6 (1.1)
Race
Black 50.3
White 49.7
Receives free/reduced-cost school lunch
Yes 46.8
No 53.2
Mother’s education
≥college 43.2
<college 56.8
BEHAVIORAL OUTCOMES
Mean sexual activity score (range, 0–9) 2.1 (3.0)
Ever had sex
Yes 26.8
No 73.2
Condom use at last sex
Yes 70.1
No 29.9
Hormonal birth control use at last sex
Yes 43.2
No 56.8
COVARIATES
Mean sensation seeking (range, 1–5) 3.3 (1.0)
Mean impulsivity (range, 0–1) 0.5 (0.3)
Mean perceived parental monitoring (range, 1–5) 3.8 (0.9)
Mean perceived parental involvement (range, 1–4) 3.0 (0.8)
Mean daily television time (range, 0–24 hours) 5.5 (4.6)
Mean daily Internet time (range, 0–24 hours) 6.5 (5.2)

Among 529 who reported having ever had sex.

Respondent’s level of sexual activity in past six months as measured on an ordered difficulty index ranging from kissing to performing oral sex.

Notes: Unless otherwise noted, data are percentages. Figures in parentheses are standard deviations.

Adolescents frequently reported receiving sexual information from each of the three informal sources studied (Table 2 ). Sixty-one percent had learned some or a lot about sex in general from their parents, and 54% each had learned that much about sex from peers and from media. Fifty-nine percent had learned about condoms from their parents, and 57% had learned about hormonal contraceptives from them; 49% and 43% had learned from peers about condoms and hormonal methods, respectively, and 42% and 41% had learned from media about condoms and hormonal methods. Sixty-six percent of adolescents had learned about romantic relationships from their parents, 58% from peers, and 60% from media.

TABLE 2.

Percentage distribution of adolescents, by amount of sexual information received, according to source and topic

Source and topic Nothing at all A little Some A lot Total
Parents
Sex 18.1 20.5 26.7 34.7 100.0
Condoms 23.4 18.1 23.9 34.6 100.0
Hormonal birth control 23.8 19.0 23.2 34.0 100.0
Romantic relationships 15.0 19.2 30.8 35.0 100.0
Peers
Sex 21.7 23.9 27.6 26.8 100.0
Condoms 25.2 26.1 27.3 21.4 100.0
Hormonal birth control 29.7 27.1 24.7 18.5 100.0
Romantic relationships 17.9 24.0 33.6 24.5 100.0
Media
Sex 20.4 25.7 29.5 24.4 100.0
Condoms 28.0 29.6 24.6 17.8 100.0
Hormonal birth control 28.9 30.5 24.7 15.9 100.0
Romantic relationships 14.9 25.3 33.7 26.1 100.0

Source use differed by gender and race (Table 3 ). In comparison with males, females more often reported learning from parents about hormonal birth control, from peers about hormonal methods and romantic relationships, and from media about romantic relationships; in comparison with females, males more often reported learning from their parents about condoms. For each topic, whites learned from parents more often than blacks did, whereas blacks learned from media more often than whites did; no racial differences were found for learning from peers.

TABLE 3.

Mean scale scores (and standard deviations) indicating how often adolescents reported learning sexual information, by source and topic, according to gender and race

Source and topic All Gender
Race
Male Female Black White
Parents 2.8 (1.0) 2.7 (1.0) 2.8 (1.0) 2.7 (1.1) 2.8 (0.9)***
Sex 2.8 (1.1) 2.8 (1.1) 2.8 (1.1) 2.7 (1.2) 2.8 (1.0)*
Condoms 2.7 (1.2) 2.8 (1.1) 2.6 (1.2)** 2.6 (1.2) 2.8 (1.1)*
Hormonal birth control 2.7 (1.2) 2.6 (1.2) 2.8 (1.2)** 2.6 (1.2) 2.8 (1.1)***
Romantic relationships 2.9 (1.1) 2.8 (1.1) 2.9 (1.1) 2.8 (1.1) 3.0 (1.0)***
Peers 2.5 (1.0) 2.5 (1.0) 2.5 (1.0) 2.5 (1.0) 2.5 (0.9)
Sex 2.6 (1.1) 2.6 (1.1) 2.6 (1.1) 2.6 (1.1) 2.6 (1.1)
Condoms 2.5 (1.1) 2.5 (1.1) 2.4 (1.1) 2.5 (1.1) 2.4 (1.0)
Hormonal birth control 2.3 (1.1) 2.3 (1.1) 2.4 (1.1)** 2.3 (1.1) 2.3 (1.0)
Romantic relationships 2.7 (1.0) 2.6 (1.1) 2.7 (1.0)** 2.7 (1.1) 2.6 (1.0)
Media 2.5 (0.9) 2.5 (0.9) 2.5 (0.9) 2.6 (1.0) 2.4 (0.8)***
Sex 2.6 (1.1) 2.6 (1.1) 2.6 (1.1) 2.7 (1.1) 2.5 (1.0)*
Condoms 2.3 (1.1) 2.3 (1.1) 2.3 (1.1) 2.5 (1.1) 2.2 (1.0)*
Hormonal birth control 2.3 (1.1) 2.3 (1.1) 2.3 (1.1) 2.4 (1.1) 2.2 (1.0)*
Romantic relationships 2.7 (1.0) 2.6 (1.0) 2.8 (1.0)*** 2.8 (1.1) 2.6 (0.9)*
*

p<.05.

**

p<.01.

***

p<.001.

Note: Scale ranges, 1–4.

Results of the factor analysis showed that the variables loaded on three factors: Forty-eight percent of the variance was explained by peers, 44% by television and movies, and 42% by parents. Thus, for our regression analyses, we averaged the topic items to create scales by source (polychoric alpha, 0.94 for parents, 0.93 for peers and 0.92 for media). Learning about sex from peers and from media were more highly correlated (r=0.55) than were learning from parents and from peers (r=0.32) or learning from parents and from media (r=0.26), which indicates adolescents who reported learning more from peers were also more likely to report learning more from media.

In regression analyses that controlled for all demographic characteristics and covariates (Table 4 ), adolescents’ sexual activity was positively associated with learning from both parents and peers (coefficients, 0.26 and 0.52, respectively). Of the covariates, age, sensation seeking, impulsivity and daily television time were positively associated with the sexual activity (0.04–1.74), whereas being female and parental monitoring were negatively associated with this outcome (−0.65 and −0.45, respectively). In addition, learning from parents was associated with increased odds of condom use at last sex (odds ratio, 1.5); age and parental monitoring were also positively associated with this outcome (1.4 each). None of the information sources were associated with use of hormonal birth control at last sex; however, age was positively associated with hormonal method use (1.4), and receiving free or reduced-cost lunch was negatively associated with this outcome (0.7).

TABLE 4.

Results of regression analyses assessing associations between selected characteristics and sexual outcomes

Characteristic Sexual activity (N=1,975) Condom use (N=522) Hormonal birth control use (N=525)

Source of sexual information
 Parents 0.26 (0.08)*** 1.52 (1.17–1.98)** 1.10 (0.86–1.40)
 Peers 0.52 (0.08)*** 1.01 (0.76–1.33) 0.82 (0.64–1.06)
 Media −0.09 (0.08) 1.10 (0.83–1.45) 1.25 (0.96–1.62)
Female −0.65 (0.13)*** 0.73 (0.48–1.12) 0.83 (0.57–1.21)
Age 0.44 (0.06)** 1.44 (1.18–1.76)*** 1.39 (1.15–1.68)**
White 0.05 (0.14) 1.05 (0.67–1.66) 1.37 (0.91–2.05)
Receives free/reduced-cost school lunch −0.08 (.014) 0.96 (0.63–1.48) 0.66 (0.45–0.97)*
Mother has ≥college education −0.08 (0.13) 0.95 (0.62–1.45) 1.09 (0.74–1.60)
Sensation seeking 0.30 (0.06)*** 1.11 (0.89–1.38) 1.19 (0.97–1.46)
Impulsivity 1.74 (0.22)*** 0.64 (0.31–1.33) 0.81 (0.42–1.56)
Parental monitoring −0.45 (0.09)** 1.40 (1.02–1.92)* 1.16 (0.87–1.56)
Parental involvement 0.03 (0.11) 0.78 (0.55–1.11) 1.16 (0.84–1.60)
Daily television time 0.04 (0.02)** 1.00 (0.95–1.05) 1.03 (0.99–1.08)
Daily Internet time 0.01 (0.01) 1.01 (0.96–1.05) 0.98 (0.95–1.03)
Interactions
 Female × parents −0.15 (0.13) 0.82 (0.53–1.27) 1.10 (0.73–1.66)
 White × parents 0.04 (0.13) 0.83 (0.53–1.30) 1.03 (0.68–1.54)
 Female × peers −0.27 (0.13)* 0.76 (0.48–1.21) 0.72 (0.47–1.11)
 White × peers 0.11 (0.14) 0.83 (0.52–1.33) 1.32 (0.86–2.01)
 Female × media −0.41 (0.14)** 0.77 (0.48–1.21) 0.73 (0.47–1.12)
 White × media 0.25 (0.15) 0.63 (0.39–1.02) 1.31 (0.84–2.04)
*

p<.05.

**

p<.01.

***

p<.001.

Notes: For sexual activity, data are unstandardized coefficients from linear regression analysis; for condom and hormonal birth control use, data are odds ratios from logistic regression analyses. For improved interpretation, coefficients for all variables were estimated prior to inclusion of the interaction terms. Interaction terms were entered and run individually, and thus, coefficients for the interaction terms are each from different models.

We suspected that any association between learning from media and sexual behavior in the regression models was carried by peers, given the similarity in the pathways through which peers and media transmit sexual knowledge, as well as the correlation of learning from the two sources (even though collinearity diagnostics of the independent variables were acceptable, with a mean variance inflation factor of 1.31). We therefore conducted post hoc regression analyses that omitted peers as an information source. In these analyses (not shown), learning from media was positively associated with sexual activity (coefficient, 0.17; standard error, 0.08; p<.05), but was not associated with condom or hormonal birth control use.

Finally, we examined whether the associations between information sources and outcomes varied by gender and race. In regression analyses, the female-peers and female-media interaction terms were negatively associated with sexual activity (coefficients, −0.27 and −0.41, respectively). As depicted in Figure 1, learning about sex from peers was positively associated with sexual activity among both females (coefficient, 0.38; standard error, 0.10; p<.01) and males (coefficient, 0.66; standard error, 0.10; p<.01). Learning about sex from media was associated with less sexual activity among females (coefficient, −0.28; standard error, 0.11; p<.01) and more among males, although the slope for males was not significant (coefficient, 0.11; standard error, 0.11; ns).

FIGURE 1. Linear prediction of sexual activity, by information source, according to gender.

FIGURE 1

Notes: Interactions shown are those that were significant in regression analyses (Table 4). Learning is measured on a scale ranging from 1=“nothing at all” to 4=“a lot.” Sexual activity is measured on an ordered difficulty index ranging from 1=“kissing” to 9=“performing oral sex.”

DISCUSSION

Healthy sexual development that results in positive social and health outcomes for youth is influenced by parents, peers and media.52 Our results suggest that learning sexual information revolves around the source, rather than the topic, given that the adolescents in our sample reported learning about various sexual topics from each of the sources studied. And whereas adolescents reported learning from each source, there appeared to be some variation by race and gender. Furthermore, learning from parents, peers and media was related to sexual behavioral outcomes with some gender differences.

Adolescents do not appear to learn exclusively about certain topics from specific sources, although research indicates that specific content may be emphasized through some sources more than others.3335 Furthermore, learning from some sources may be more strongly correlated than learning from others: For instance, learning from media and learning from peers were more highly correlated with each other than either was with learning from parents. Adolescents may perceive peers and media sources as similar with regard to the information they receive, and perhaps reinforcing—a possibility supported by previous research showing that adolescents often considered the media a “super peer” in regard to sexual learning.53 Although not measured here, the credibility and trust associated with each source may play a role.10 Adolescents may consider parents to be more credible than peers and media, which adolescents attribute similarly lower credibility. In addition, adolescents may be more aware of their learning from parents than of their learning from peers or media, because it more often occurs through a formal process rather than through observation or behavioral modeling; this may explain our finding of higher reports of learning from parents than from peers or media.

Patterns of sexual learning varied by gender and race. According to our bivariate results, gender differences were limited to specific topics. For example, from parents, males reported learning more about condoms, and females more about hormonal birth control. This pattern may reflect parents’ notions that information on birth control may be more relevant for females because all hormonal methods are currently for females. However, given that learning about hormonal birth control from peers was also more commonly reported by females than by males, it could be that young women are driving the search for information on this particular topic.

By contrast, racial differences were based on the source of learning. Across all sexual topics, whites were more likely than blacks to report learning from parents, and blacks were more likely than whites to report learning from media. The latter finding is consistent with some studies,54 but not with ones that found evidence that blacks receive more information from parents than do youth of other races and ethnicities.55 However, black adolescents spend twice as much time per day as whites watching television and movies,56 so it is not surprising that they report learning more from media than do whites. Another possible explanation is that black adolescents report more parental communication about sexual topics,8 but do not necessarily perceive learning as much from parents as from media.

We found adolescents’ sexual activity to be positively associated with learning sexual information from parents. Previous research suggests that parents often initiate discussions with their adolescents about sex if they perceive them to be having sex.10 The relationship may also reflect sexually active adolescents’ seeking information from their parents, but the cross-sectional nature of our data prohibits us from making inferences about direction.

Learning from parents was also associated with higher odds of condom use at last sex, which is consistent with findings linking parent-adolescent sexual communication with safer sex,12 more favorable views about and attitudes toward using condoms, and increased condom self-efficacy.13 Furthermore, although interactions between race and gender and learning from parents were not significantly associated with condom use, perceived parental monitoring was positively associated with the outcome.

No source of learning was associated with hormonal birth control use, but receiving reduced-cost or free lunch—a measure of socioeconomic status—was negatively associated with this outcome. This finding suggests that issues of availability and access may be particularly important considerations in the use of hormonal birth control.

Only one association was found between learning from media and the behavioral outcomes: Learning from television or movies was associated with less sexual activity among females than among males. In the descriptive analyses, young women reported learning more about romantic relationships from media than young men did. This finding may be related to how relationships are depicted in the media content young adolescent women watch, which may be contextually different from the content popular with males. For example, adolescent women tend to watch television shows featuring more female characters,57 which may present more positive depictions of females and less stereotypical sexual norms for males and females. Findings from our post hoc analysis—in which we removed peer sources from the regression models—suggest that learning from peers and media may be interchangeable in regard to the association with sexual activity and support research demonstrating that media may be a “substitute sexual peer.”53,58

Some associations between behavioral outcomes and sources of sexual information were conditional on gender. Learning from peers was positively associated with sexual activity for both males and females, but the association was stronger for males. Peer influence on adolescent sexual behavior is well documented,59 but attitudes and perceptions about sex and sex-related topics of males’ peers may be more positive than those of females’ peers.

Limitations

This study had several limitations that should be mentioned. The direction of the relationships discussed here are unknown because the data used are cross-sectional. For example, adolescents’ sexual activity and condom use may have preceded their learning from reported sources, and their behavior may have caused them to seek out information from various sources or to pay more attention to particular information. In addition, our focus was on specific informal sources of sexual information, and we did not include other important sources—such as doctors, teachers or school, and the Internet (including social media)—that may interact with them in ways that affect learning. We also did not include variables that could affect how information is received from sources (e.g., parent-child closeness, source trustworthiness). In-depth, qualitative studies would provide contextually rich data about the conditions under which learning occurs. Although our topic-based approach allowed us to examine a range of sexual issues, it left us without in-depth information on what was learned within each topic area, as well as the context in which learning occurs. In addition, learning about specific topics from each source may have been associated with the behavioral outcomes in some instances when the overall source of information was not. Furthermore, question wording with regard to “learning about sex” may have biased estimates toward certain sources—specifically, parents, with whom adolescents are most likely to have explicit conversations about sex. Finally, many participants were recruited through their parents; although this is a typical strategy by which online surveys recruit adolescents, it is impossible to know whether parents actually engaged their adolescents or completed the survey themselves.

Conclusion

This study furthers the understanding of the role of informal sources in adolescents’ sexual learning and how such learning relates to their sexual behaviors. Future research should examine the processes involved in learning sexual information, and whether interventions and message development can capitalize on differences in how males and females learn about sex. Researchers may also want to investigate whether what adolescents report learning differs from what they are being taught, and how this fits into our understanding of how best to positively influence sexual development. Although risk avoidance receives a lot of attention, it is not the only consideration in the sexual socialization of adolescents. Parents, peers and media represent potential intervention points through which health-promoting and socially relevant sexual information can be conveyed. Longitudinal analyses that track youths’ learning about sex from various sources over time and link it to behavioral outcomes are a next step in finding ways to improve adolescents’ sexual health.

Acknowledgments

This study was funded by grant 1R21HD079615 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). The content of this article is the responsibility solely of the authors and does not necessarily represent the official views of the NICHD.

Contributor Information

Amy Bleakley, Senior research scientist, Annenberg School for Communication, University of Pennsylvania, Philadelphia.

Atika Khurana, Associate professor, Department of Counseling Psychology and Human Services, University of Oregon, Eugene.

Michael Hennessy, Statistician, Annenberg School for Communication, University of Pennsylvania, Philadelphia.

Morgan Ellithorpe, Assistant professor, Department of Advertising and Public Relations, College of Communication Arts and Sciences, Michigan State University, East Lansing.

References

  • 1.Ward LM. Understanding the role of entertainment media in the sexual socialization of American youth: a review of empirical research. Developmental Review. 2003;23(3):347–388. [Google Scholar]
  • 2.Whitfield C, et al. Sexual health information seeking: a survey of adolescent practices. Journal of Clinical Nursing. 2013;22(23–24):3259–3269. doi: 10.1111/jocn.12192. [DOI] [PubMed] [Google Scholar]
  • 3.Bleakley A, et al. How sources of sexual information relate to adolescents’ beliefs about sex. American Journal of Health Behavior. 2009;33(1):37–48. doi: 10.5993/ajhb.33.1.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Strasburger VC. Adolescents, sex, and the media: ooooo, baby, baby—a Q & A. Adolescent Medicine Clinics. 2005;16(2):269–288. doi: 10.1016/j.admecli.2005.02.009. [DOI] [PubMed] [Google Scholar]
  • 5.Akers AY, Holland CL, Bost J. Interventions to improve parental communication about sex: a systematic review. Pediatrics. 2011;127(3):494–510. doi: 10.1542/peds.2010-2194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wight D, Fullerton D. A review of interventions with parents to promote the sexual health of their children. Journal of Adolescent Health. 2013;52(1):4–27. doi: 10.1016/j.jadohealth.2012.04.014. [DOI] [PubMed] [Google Scholar]
  • 7.Kann L, et al. Youth risk behavior surveillance–United States. Morbidity and Mortality Weekly Report. 2013;63(SS-4) [PubMed] [Google Scholar]
  • 8.Lindberg LD, Maddow-Zimet I, Boonstra H. Changes in adolescents’ receipt of sex education, 2006–2013; Journal of Adolescent Health. 2016;58(6):621–627. doi: 10.1016/j.jadohealth.2016.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Somers CL, Surmann AT. Adolescents’ preferences for source of sex education. Child Study Journal. 2004;34(1):47–60. [Google Scholar]
  • 10.Jaccard J, Dodge T, Dittus P. Parent-adolescent communication about sex and birth control: a conceptual framework. New Directions for Child and Adolescent Development. 2002;2002(97):9–41. doi: 10.1002/cd.48. [DOI] [PubMed] [Google Scholar]
  • 11.Khurana A, Cooksey EC. Examining the effect of maternal sexual communication and adolescents’ perceptions of maternal disapproval on adolescent risky sexual involvement. Journal of Adolescent Health. 2012;51(6):557–565. doi: 10.1016/j.jadohealth.2012.03.007. [DOI] [PubMed] [Google Scholar]
  • 12.Widman L, et al. Parent-adolescent sexual communication and adolescent safer sex behavior: a meta-analysis. JAMA Pediatrics. 2016;170(1):52–61. doi: 10.1001/jamapediatrics.2015.2731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rogers AA. Parent-adolescent sexual communication and adolescents’ sexual behaviors: a conceptual model and systematic review. Adolescent Research Review. 2017;2(4):293–313. [Google Scholar]
  • 14.Somers CL, Ali WF. The role of parents in early adolescent sexual risk-taking behavior. Open Psychology Journal. 2011;4(1):88–95. [Google Scholar]
  • 15.Somers CL, Paulson SE. Students’ perceptions of parent-adolescent closeness and communication about sexuality: relations with sexual knowledge, attitudes, and behaviors. Journal of Adolescence. 2000;23(5):629–644. doi: 10.1006/jado.2000.0349. [DOI] [PubMed] [Google Scholar]
  • 16.Rai AA, et al. Relative influences of perceived parental monitoring and perceived peer involvement on adolescent risk behaviors: an analysis of six cross-sectional data sets. Journal of Adolescent Health. 2003;33(2):108–118. doi: 10.1016/s1054-139x(03)00179-4. [DOI] [PubMed] [Google Scholar]
  • 17.Maxwell KA. Friends: the role of peer influence across adolescent risk behaviors. Journal of Youth and Adolescence. 2002;31(4):267–277. [Google Scholar]
  • 18.Ragsdale K, et al. Development of sexual expectancies among adolescents: contributions by parents, peers and the media. Journal of Sex Research. 2014;51(5):551–560. doi: 10.1080/00224499.2012.753025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bandura A. Social Foundations of Thought and Actions: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall; 1986. [Google Scholar]
  • 20.L’Engle KL, Brown JD, Kenneavy K. The mass media are an important context for adolescents’ sexual behavior. Journal of Adolescent Health. 2006;38(3):186–192. doi: 10.1016/j.jadohealth.2005.03.020. [DOI] [PubMed] [Google Scholar]
  • 21.Bleakley A. Hennessy M and Fishbein M, A model of adolescents’ seeking of sexual content in their media choices. Journal of Sex Research. 2011;48(4):309–315. doi: 10.1080/00224499.2010.497985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bleakley A, Jamieson PE, Romer D. Trends of sexual and violent content by gender in top-grossing U. S films, 1950–2006. Journal of Adolescent Health. 2012;51(1):73–79. doi: 10.1016/j.jadohealth.2012.02.006. [DOI] [PubMed] [Google Scholar]
  • 23.Kunkel D, et al. Sex on TV 3: A Biennial Report to the Kaiser Family Foundation. Menlo Park, CA: The Kaiser Family Foundation; 2003. https://kaiserfamilyfoundation.files.wordpress.com/2013/01/sex-on-television-3.pdf. [Google Scholar]
  • 24.Kunkel D, et al. Sexual socialization messages on entertainment television: comparing content trends 1997–2002; Media Psychology. 2007;9(3):595–622. [Google Scholar]
  • 25.Wright PJ. Sexual socialization messages in mainstream entertainment mass media: a review and synthesis. Sexuality & Culture. 2009;13(4):181–200. [Google Scholar]
  • 26.Aubrey JS. Sex and punishment: an examination of sexual consequences and the sexual double standard in teen programming. Sex Roles. 2004;50(7–8):505–514. [Google Scholar]
  • 27.Bleakley A, et al. It works both ways: the relationship between exposure to sexual content in the media and adolescent sexual behavior. Media Psychology. 2008;11(4):443–461. doi: 10.1080/15213260802491986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Brown JD, et al. Sexy media matter: Exposure to sexual content in music, movies, television, and magazines predicts black and white adolescents’ sexual behavior. Pediatrics. 2006;117(4):1018–1027. doi: 10.1542/peds.2005-1406. [DOI] [PubMed] [Google Scholar]
  • 29.Chandra A, et al. Does watching sex on television predict teen pregnancy? Findings from a national longitudinal survey of youth. Pediatrics. 2008;122(5):1047–1054. doi: 10.1542/peds.2007-3066. [DOI] [PubMed] [Google Scholar]
  • 30.Collins RL, et al. Watching sex on television predicts adolescent initiation of sexual behavior. Pediatrics. 2004;114(3):e280–e289. doi: 10.1542/peds.2003-1065-L. [DOI] [PubMed] [Google Scholar]
  • 31.Hennessy M, et al. Estimating the longitudinal association between adolescent sexual behavior and exposure to sexual media content. Journal of Sex Research. 2009;46(6):586–596. doi: 10.1080/00224490902898736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wright PJ. Mass media effects on youth sexual behavior: assessing the claim for causality. Annals of the International Communication Association. 2010;35(1):343–385. [Google Scholar]
  • 33.Diiorio C, Pluhar E, Belcher L. Parent-child communication about sexuality: a review of the literature from 1980–2002; Journal of HIV/AIDS Prevention & Education for Adolescents & Children. 2003;5(3–4):7–32. [Google Scholar]
  • 34.Fletcher KD, et al. Will it help? Identifying socialization discourses that promote sexual risk and sexual health among African American youth. Journal of Sex Research. 2015;52(2):199–212. doi: 10.1080/00224499.2013.853724. [DOI] [PubMed] [Google Scholar]
  • 35.Martino SC, et al. Beyond the “big talk”: the roles of breadth and repetition in parent-adolescent communication about sexual topics. Pediatrics. 2008;121(3):e612–e618. doi: 10.1542/peds.2007-2156. [DOI] [PubMed] [Google Scholar]
  • 36.Lefkowitz ES, Boone TL, Shearer CL. Communication with best friends about sex-related topics during emerging adulthood. Journal of Youth and Adolescence. 2004;33(4):339–351. [Google Scholar]
  • 37.Secor-Turner M, et al. Associations between sexually experienced adolescents’ sources of information about sex and sexual risk outcomes. Sex Education. 2011;11(4):489–500. [Google Scholar]
  • 38.Dillman Carpentier FR, et al. Sex, love, and risk-n-responsibility: a content analysis of entertainment television. Mass Communication & Society. 2017;20(5):686–709. doi: 10.1080/15205436.2017.1298807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Fisher DA, et al. Sex on American television: an analysis across program genres and network types. Journal of Broadcasting & Electronic Media. 2004;48(4):529–553. doi: 10.1207/s15506878jobem4804_1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kunkel D, et al. Sexual socialization messages on entertainment television: comparing content trends 1997–2002; Media Psychology. 2007;9(3):595–622. [Google Scholar]
  • 41.Eversole JS, et al. Source of sex information and condom use intention among Latino adolescents. Health Education & Behavior. 2017;44(3):439–447. doi: 10.1177/1090198116671704. [DOI] [PubMed] [Google Scholar]
  • 42.van Schuur W. Mokken scale analysis: between the Guttman scale and parametric item response theory. Political Analysis. 2003;11(2):139–163. [Google Scholar]
  • 43.Hennessy M, et al. Validating an index of adolescent sexual behavior using psychosocial theory and social trait correlates. AIDS and Behavior. 2008;12(2):321–331. doi: 10.1007/s10461-007-9272-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Loevinger J. The technic of homogeneous tests compared with some aspects of scale analysis and factor analysis. Psychological Bulletin. 1948;45(6):507–529. doi: 10.1037/h0055827. [DOI] [PubMed] [Google Scholar]
  • 45.Donohew L, et al. Sensation seeking, impulsive decision-making, and risky sex: implications for risk-taking and design of interventions. Personality and Individual Differences. 2000;28(6):1079–1091. [Google Scholar]
  • 46.Stephenson MT, et al. Brief measures of sensation seeking for screening and large-scale surveys. Drug and Alcohol Dependence. 2003;72(3):279–286. doi: 10.1016/j.drugalcdep.2003.08.003. [DOI] [PubMed] [Google Scholar]
  • 47.Eysenck SB, Easting G, Pearson PR. Age norms for impulsiveness, venturesomeness and empathy in children. Personality and Individual Differences. 1984;5(3):315–321. [Google Scholar]
  • 48.DiClemente RJ, et al. Parental monitoring: association with adolescents’ risk behaviors. Pediatrics. 2001;107(6):1363–1368. doi: 10.1542/peds.107.6.1363. [DOI] [PubMed] [Google Scholar]
  • 49.Huebner AJ, Howell LW. Examining the relationship between adolescent sexual risk-taking and perceptions of monitoring, communication, and parenting styles. Journal of Adolescent Health. 2003;33(2):71–78. doi: 10.1016/s1054-139x(03)00141-1. [DOI] [PubMed] [Google Scholar]
  • 50.Hoetker G. The use of logit and probit models in strategic management research: critical issues. Strategic Management Journal. 2007;28(4):331–343. [Google Scholar]
  • 51.Karaca-Mandic P, Norton EC, Dowd B. Interaction terms in nonlinear models. Health Services Research. 2012;47(1):255–274. doi: 10.1111/j.1475-6773.2011.01314.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Shtarkshall RA, Santelli JS, Hirsch JS. Sex education and sexual socialization: roles for educators and parents. Perspectives on Sexual and Reproductive Health. 2007;39(2):116–119. doi: 10.1363/3911607. [DOI] [PubMed] [Google Scholar]
  • 53.Brown JD, Halpern CT, L’Engle KL. Mass media as a sexual super peer for early maturing girls. Journal of Adolescent Health. 2005;36(5):420–427. doi: 10.1016/j.jadohealth.2004.06.003. [DOI] [PubMed] [Google Scholar]
  • 54.Epstein M, Ward LM. “Always use protection”: communication boys receive about sex from parents, peers, and the media. Journal of Youth and Adolescence. 2008;37(2):113–126. [Google Scholar]
  • 55.Sprecher S, Harris G, Meyers A. Perceptions of sources of sex education and targets of sex communication: sociodemographic and cohort effects. Journal of Sex Research. 2008;45(1):17–26. doi: 10.1080/00224490701629522. [DOI] [PubMed] [Google Scholar]
  • 56.Common Sense Media. The Common Sense Census: Media Use by Tweens and Teens. 2015 https://www.commonsensemedia.org/sites/default/files/uploads/research/census_researchreport.pdf.
  • 57.Ellithorpe ME, Bleakley A. Wanting to see people like me? Racial and gender diversity in popular adolescent television. Journal of Youth and Adolescence. 2016;45(7):1426–1437. doi: 10.1007/s10964-016-0415-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.L’Engle KL, Brown JD, Kenneavy K. The mass media are an important context for adolescents’ sexual behavior. Journal of Adolescent Health. 2006;38(3):186–192. doi: 10.1016/j.jadohealth.2005.03.020. [DOI] [PubMed] [Google Scholar]
  • 59.van de Bongardt D, et al. A meta-analysis of the relations between three types of peer norms and adolescent sexual behavior. Personality and Social Psychology Review. 2015;19(3):203–234. doi: 10.1177/1088868314544223. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES