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Try out PMC Labs and tell us what you think. Learn More. Spring Break trips are associated with heavy drinking and with risky sexual behavior e. The present study adds to this growing event-specific risk literature by examining Spring Break-specific normative perceptions of sexual risk behavior and the role that these perceptions and taking a trip with a friend or with a romantic partner have on Spring Break sexual behavior.
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Furthermore, revealed that these perceptions were positively associated with behavior. The choice of travel companion friend s vs. suggested that intervention efforts aimed at reducing risks for Spring Break trip-takers may be strongest when they incorporate corrective normative information and target those traveling with friends. Based on the tenets of social learning theory, Spring Break sexual behavior should be shaped by both the environment e.
Therefore, the present study aims to extend the event-specific risk literature by examining aspects of the Spring Break environment and personal factors as influences on sexual behaviors, including sex with casual partners, using alcohol before sex, and condom use. Over the past decade, research has begun to focus on risks associated with specific events or contexts; as a result, a new prevention paradigm emerged in the alcohol use literature that places greater emphasis on specific days, windows of risk, and patterns of risk within weeks and across weeks of the year e.
Subsequently, research on event-specific prevention has identified holidays and windows of time that are related to high-risk health behaviors, including elevated drinking and risky sex. Examining behavior during especially high-risk time periods is necessary Women sex on beach understanding who is at risk, when they are at greatest risk, and what increases risk behaviors during these times. In addition, understanding event-specific risk behaviors will enable us to develop more targeted prevention and intervention programs that are salient to these individual contexts, including Spring Break.
During Spring Break, US college students report risky sexual behavior. In addition, alcohol use on a given day during Spring Break is associated with engaging in sexual behavior that day, especially for students who are single Patrick, However, single students were also more likely to use condoms after drinking, suggesting that some students may plan to engage in sex with new partners during Spring Break Patrick, According to social learning theory Bandura, and its extension, social cognitive theory Bandura,the interrelationships among behavior, environmental factors, and personal factors i.
Bandura described the interactive relationships among behavior, environmental factors, and personal factors as reciprocal determinism Bandura, and suggested that change in one of these factors is shaped by the other two factors. Thus, Spring Break sexual behavior should be shaped by the environment e. Extensive research has demonstrated social influences to be among the strongest factors associated with college student health-risk behavior e.
Social influences on health-risk behavior can vary along multiple dimensions including specificity e. Specific to Spring Break, students who go on trips with friends during are at particular risk for heavy drinking and risky sex Grekin et al. However, it is unknown to what extent travelling with romantic partners may be either risky or protective in terms of engaging in Women sex on beach sex during Spring Break; this study will extend research by examining travel with a romantic partner.
Generally, college students overestimate risky peer alcohol use e. Research shows that these normative perceptions are associated with greater engagement in these risk behaviors Lewis, Litt et al.
Perceived norms regarding Spring Break sexual risk behaviors have not yet been documented; thus this study will make a novel contribution to the literature. Furthermore, while it is well documented that students overestimate risk behavior, there is also evidence that students underestimate protective behaviors.
As found with risk behaviors, normative perceptions are positively associated with the protective behavior Lewis et al. There is no available research documenting whether normative perceptions of protective behaviors are associated with Spring Break behaviors; thus, this study will make important contributions to the literature. The present study adds to this growing event-specific literature by examining three research questions. Specific research questions are: 1 Do college students perceive their same-sex peers to engage in more sexual risk behaviors and less sexual protective behaviors during Spring Break when compared to their own behavior?
Participants included 1, undergraduate college students Women sex on beach composition included Mean age was Sexual orientation included Approximately a week after Spring Break, 2, students were mailed and ed an invitation to participate in a confidential minute online survey about their Spring Break.
The survey was open for approximately one month, during which time non-responding participants received e-mail and telephone reminders to complete the survey. Of those invited, Items assessing sexual behavior and related items assessing normative misperceptions were adapted from those used by Lewis and colleagues Definitions of sexual behavior may differ across participants, although survey instructions asked participants to define sexual intercourse as consensual activities i.
Students were asked to report on their relationship status. This item was assessed prior to asking participants about their Spring Break sexual behavior. Drinks per day were summed across days and the total score represented the total of drinks participants consumed during Spring Break. On average, how many drinks do you think they consumed? Participants were asked to report their estimate of condom use for their same-sex college peers. Research Question 1 concerned the normative perceptions of Spring Break sexual behavior. Four behavioral norms were examined: frequency of casual sex, frequency of drinking before or during sex, of drinks consumed before or during sex, and Women sex on beach of condom use.
Paired samples t -tests were used to compare normative perceptions of each behavior to self-reported participant behavior. All variables were screened for normality. Spring Break sexual behavior variables were positively skewed as they represent infrequent count variables.
Moreover, there were a large of zero values for outcomes: no sex with casual partner Thus, logistic regression was selected as the primary analysis strategy to examine having sex with a casual partner during Spring Break. Because of the distributions of the remaining outcomes frequency of drinking prior to sex, average of drinks prior to sex, and frequency of condom usezero-inflated binomial regression ZINB was selected as the primary analysis strategy Hilbe, ZINB regression is a type of mixture model in which a negative binomial regression is fit and excess zeroes i. Values can only be non-negative integers i.
The logistic portion of the model examines the likelihood of the observation being a zero-value, exceeding what would be expected in a negative binomial model and has a distribution in which the target behavior is always absent. The second set of Women sex on beach focuses on the count portion of the model, in this case the negative binomial distribution, and has a distribution in which the sexual behavior can be any non-negative integer, including zero.
Predictors can be the same or different for the logistic and counts portions of the model. In the present analyses, we included the same predictors for both dimensions when examining sexual behavior during Spring Break. For all analyses, gender, relationship status, of drinks during Spring Break, and of sexual partners during the past three months were included as covariates. Predictors of interest were going on a Spring Break trip with a friend or with a romantic partner, and descriptive Spring Women sex on beach sexual behavior normative perceptions.
Half More than one third A smaller percentage of students 4. Finally, almost half Of those who drank, an average of 4. Means, standard deviations, and zero-order correlations are presented in Table 1.
Overall, drinking and risky sexual behavior casual sex, drinking before sex, and of drinks before sex during Spring Break were correlated, and normative perceptions were correlated among one another. Condom use was correlated only with perceptions of condom use and perceptions of drinking prior to sex.
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Finally, sexual behavior was positively associated with the respective normative perception, with the exception of drinking prior to sex. Logistic regression analysis was used to evaluate the likelihood of having sex with a casual partner during Spring Break.
Classification was good, with The overall percentage correct was of the ZINB regression evaluating frequency of drinking prior to sex are presented in Table 3. for the logistic portion of the model represent unique associations between each predictor and expected zero-scores i. for the counts portion of the model represent unique associations between each predictor and the of times drinking occurred prior to sex count and are presented at the bottom of Table 3. Findings indicated strong support for the ZINB model over other possible count models. of the logistic portion of the model indicated that gender, relationship status, of sexual partners, going on a Spring Break trip with a friend, going on a Spring Break trip with a romantic partner, and perceived frequency of drinking prior to sex Women sex on beach not ificantly associated with zero-inflation i.
of drinks during Spring Break was negatively associated with zero-inflation, indicating that those reporting not drinking prior to sex drank fewer drinks during Spring Break. from the count portion of the model indicated that of drinks consumed during Spring Break, going on a trip with a partner, and normative perceptions were positively associated with frequency of drinking prior to sex during Spring Break. Gender, relationship status, of sexual partners during the past three months, and going on a Spring Break trip with a friend were not ificant.
of the ZINB regression evaluating typical of drinks prior to sex are presented in Table 4. of the logistic portion of the model indicated that relationship status, of sexual partners during the past three months, going on a trip with a friend, and perceived of drinks prior to sex were not ificantly associated with zero-inflation. Gender was associated with zero-inflation, indicating that men were more likely to report no drinks prior to sex than women. of drinks prior to sex and going on a trip with a partner were negatively associated with zero-inflation, indicating that those reporting no drinks prior to sex drank fewer drinks during Spring Break and did not go on a trip with a partner.
from the counts portion of the model indicated that those who were not in a relationship drank more drinks prior to sex during Spring Break than Women sex on beach in a relationship.