Using a sample of 1,625 homeless youth and young adults aged 10 to 25 from 28 different states in the United States, this study examines the correlates of having engaged in survival sex. Findings suggest that differences exist based on demographic variables (gender, age, race, and sexual orientation), lifetime drug use (inhalants, Valium™, crack cocaine, alcohol, Coricidin™, and morphine), recent drug use (alcohol, ecstasy, heroin, and methamphetamine), mental health variables (suicide attempts, familial history of substance use, and having been in substance abuse treatment), and health variables (sharing needles and having been tested for HIV). In addition to replicating previous findings, this study's findings suggest that African American youth; gay, lesbian, or bisexual youth; and youth who had been tested for HIV were significantly more likely to have engaged in survival sex than White, heterosexual youth, and youth who had not been tested for HIV, respectively. Implications for interventions with youth and suggestions for future research are discussed.
With few legitimate ways of supporting themselves on the streets, many homeless youth and young adults end up engaging in survival sex or are coerced into sex work by pimps as a last resort for survival on the streets (Family and Youth Services Bureau, 1995; Haley, Roy, Leclerc, Boudreau, & Boivin, 2004; Silbert & Pines, [
In this article, we examine correlates of engaging in survival sex in a sample of homeless youth and young adults from 28 different states in the United States and the District of Columbia (DC). The last multicity, large sample, published study that examined the predictors of survival sex with this population was based on youth samples from 1992 (Greene, Ennett, & Ringwalt, [
The terms prostitution, sex work, and survival sex have been used interchangeably in the academic literature at times, but more often used to mean various forms of transactional sex (Leclerc-Madlala, [
In this section, we examine what is known about the prevalence of survival sex among homeless youth and young adults; variations based on demographics such as age, gender, race, and sexual orientation; and then turn our attention to the relationship between survival sex and substance use, mental health issues, and physical health and safety. Although the majority of the studies reviewed are cross-sectional and do not allow for the determination of causality, what emerges is a picture of significant risk for homeless youth becoming involved in survival sex as a means of support and, for those involved, significantly greater likelihood of negative psychosocial outcomes. It is not surprising then, that Greene et al. ([
Although the estimates of the prevalence of survival sex among homeless youth and young adults vary widely based on a number of factors, it is fairly well-established that the behavior is not uncommon among the population in the United States, and the evidence further suggests that most youth do not engage in the behavior prior to becoming homeless (McCarthy & Hagan, [
One aspect of homelessness that seems to differentiate level of risk for engaging in survival sex is whether the youth and young adults stay in youth shelters or live on the street. In samples that did not differentiate but, rather, looked at homeless youth, in general, rates have typically been reported between 11% and 41%—with some variation depending on city, sampling methodology, and sample characteristics (Anderson et al., [
Although many studies have examined the relationship between gender and survival sex, conflicting findings exist in the literature. Studies finding that female homeless youth were more likely than male homeless youth to engage in the behavior have typically been smaller samples and restricted to single geographical locations (McCarthy & Hagan, [
As with gender, the findings regarding the relationship between survival sex and race and ethnicity have been mixed. No racial differences in likelihood of engaging in survival sex emerged in samples of homeless youth and young adults from New York City (Rotheram-Borus et al., [
Unlike the findings regarding gender and race and ethnicity, research has much more consistently shown that older homeless youth are more likely to engage in survival sex than younger homeless youth, and that the likelihood of participating in survival sex increases with age (Greene et al., [
As with age, there is fairly consistent evidence that homeless gay and bisexual males engage in survival sex at significantly higher rates than their heterosexual male counterparts (Feinstein, Greenblatt, Hass, Kohn, & Rana, 2001; Kipke, Montgomery, Simon, Unger, & Johnson, 1997; Klein, [
Numerous studies have examined the correlation between engaging in survival sex and use of alcohol and other substances (e.g., see Greene et al., [
Significant relationships between substance use and survival sex have been demonstrated in the general homeless youth population (Greene et al., [
Studies that have focused on specific drugs have found alcohol use to be associated with increased likelihood of engaging in survival sex (Greene et al., [
Among homeless youth there are clear associations between survival sex and mental health issues, as well as with histories of child maltreatment. Homeless youth who engage in survival sex are at a greater risk for depression than their counterparts who have not (Yates et al., [
Childhood physical and sexual abuse by parents and caregivers is correlated with increased likelihood of trading sex for survival (Silbert & Pines, [
As with mental health, participation in survival sex activities is associated with increased physical risks. Sexually transmitted infections (STIs) are common among homeless youth and young adults, with survival sex being one of the contributing factors of this increased prevalence (Busen & Engebretson, [
Whereas Thomson ([
In addition to STIs, victimization is another physical risk associated with survival sex. Youth engaging in this behavior are more likely to have been physically victimized, frequently by their pimps and customers (Janus, Archambault, Brown, & Welsh, [
Beginning in the year 2000, Urban Peak—a Denver-based social service agency providing a comprehensive array of services to homeless youth and young adults—began coordinating public health surveys to document risk factors and trends among homeless youth. The initial pilot survey focused solely on Denver, and the 2002 survey expanded to include Colorado Springs and Boulder. In 2004, the agency received funding to expand the survey outside the state of Colorado. Agency staff and volunteers teamed up with researchers at the University of Colorado Health Sciences (UCHS) and, through the agency's involvement with the National Network for Youth and the National Youth Policy Council, identified agency partners in five different states (Illinois, Minnesota, Missouri, Texas, and Utah) who were interested in participating. The 2005 survey focused on the Eastern portion of the United States and included sites in Connecticut, Florida, Maine, Maryland, New Hampshire, Pennsylvania, Rhode Island, Vermont, Virginia, West Virginia, and Washington, DC. Finally, in 2007, the survey focused primarily on Western states and included sites in Alaska, Arizona, California, Colorado, Hawaii, Idaho, Louisiana, Montana, Nevada, Utah, Washington, and Wyoming.
Urban Peak staff trained participating agency staff in other sites on the survey protocol via conference calls. All homeless youth—whether in shelters, on the street, or in agency settings where support services were provided—encountered by staff on the day of the survey administration were approached and asked to participate in the survey. The only criteria for participating were current homelessness and being 25 years old or younger.
Staff members in all sites made every effort to avoid duplication, although no identifiers or contact information were captured as part of the survey. Participation in the surveys was completely voluntary. In addition, as part of the consent process, potential participants were instructed that their answers would be kept confidential, that they could select to skip any question with which they were not comfortable, and that their decision as to whether to participate would not influence their eligibility for services. Agency staff arranged to read the survey in private areas for youth who had reading difficulties or language barriers. If youth appeared to have difficulty understanding the questions, staff would provide explanation or clarification as needed. The survey consisted of one page of questions (back and front), and took less than 10 min to complete for most participants. The survey questionnaire was developed by Urban Peak in conjunction with its research committee, and was based on previous surveys that the organization conducted with its own client population. The protocol was reviewed and approved for administration by the UCHS institutional review board. (For complete information on the survey protocols and administrations, see Boyle, Van Leeuwen, & Yancy [[
As the majority of questions asked on the 2004, 2005, and 2007 multicity surveys were identical, this study combines these three waves of data into one dataset that includes answers from more than 1,600 homeless youth and young adults in 28 different states and DC. Although there is a possibility that a youth or young adult could have participated in more than one of the surveys, the likelihood of that is fairly small given the transient nature of the population, the length of time between survey administrations, and the focus on different regions of the United States in each subsequent data collection wave.
The full sample consists of 1,755 homeless youth and young adults. From the full sample, 44 (2.5%) records were discarded, as they were missing data on the dependent variable, resulting in a sample of 1,711 respondents. From this, an additional 186 records (10.6%) were dropped, as they were missing data on one of the demographic variables used in the analyses, leaving 1,625 respondents. Finally, multiple imputation by chained equations (van Buuren, Boshuizen, & Knook, [
Respondents were asked to indicate their age, which was included in the statistical models as an interval level variable, and to identify their gender with three potential responses: female, male, or transgender. For race and ethnicity, respondents were given the options of describing themselves as Anglo or White, African American, Latino or Hispanic, Native American, Asian Pacific Islander, or "other." Respondents were asked if they identified as gay, lesbian, or bisexual.
Two sets of questions regarding drug use were asked—one about lifetime use and the other about use in the last month. Among the list of drugs were alcohol, ecstasy, methamphetamine, morphine–codeine–Vicodin™–Demerol™, inhalants, crack–freebase, Valium™–Librium™–Xanax™, DXM (dextromethorphan)–Coricidin™ ("Triple C" [Coricidin Cough & Cold, which contains DXM]), heroin, and ketamine ("Special K").[
The final set of correlates explored addressed physical health issues. As a follow-up question to one regarding IV drug use, respondents were asked whether they had ever shared needles. Finally, they were asked if they had ever been tested for HIV and for hepatitis C. The dependent variable was captured by asking respondents whether they had ever "traded sex for money, food, drugs, shelter, clothing, etc."
Table 1 contains information regarding the descriptive statistics of the sample. Females made up 47.1% (n = 766) of the sample, and respondents who identified as transgender made up 0.7% (n = 11) of the sample. Almost one half (49.9%, n = 810) of the respondents identified as White, 22.4% (n = 364) as African American, with all other races and ethnicities representing <10.0% of the sample. Ages ranged from 10 years to 25 years old, with a mean age of 18.3 (SD = 2.7). One-fifth (20.0%; n = 325) identified as gay, lesbian, or bisexual. The Colorado subsample represents 23.6% (n = 385) of the sample.
Table 1. Descriptive Statistics
Variable % Gender Female 47.1 Male 52.2 Trans 0.7 Race and ethnicity Native American 5.6 African American 22.4 Latino 8.3 White 49.9 Bi- or multiracial 3.6 Asian 1.7 Other 8.6 Sexual orientation Gay, lesbian, or bisexual 20.0 Heterosexual 80.0 Drugs Alcohol Lifetime 74.6 Recent 52.4 Ecstasy Lifetime 32.2 Recent 8.3 Methamphetamine Lifetime 24.1 Recent 6.0 Morphine (and others) Lifetime 23.9 Recent 5.7 Inhalants Lifetime 21.2 Recent 3.0 Crack Lifetime 20.4 Recent 5.4 Valium™ (and others) Lifetime 19.4 Recent 3.8 Dextromethorphan Lifetime 12.3 Recent 2.3 Heroin Lifetime 11.9 Recent 2.8 Ketamine Lifetime 10.4 Recent 1.7 Attempted suicide 33.7 Familial substance abuse 68.5 Substance abuse treatment 25.6 Tested for HIV 57.4 Tested for hepatitis C 52.1 Shared needles 5.2
Shifting now to the variables regarding lifetime usage of substances, we found that the most commonly used substance—alcohol—had been used at some point in their life by 74.6% (n = 1,212) of the sample, followed by ecstasy at 32.2% (n = 523), methamphetamine at 24.1% (n = 391), morphine, codeine, Vicodin, and Demerol at 23.9% (n = 388), and inhalants at 21.2% (n = 344). The remaining five drugs examined in the multivariate models had prevalence rates below one fifth of the sample. The top four substances in terms of lifetime usage also emerged as the top four in terms of recent usage. Alcohol was used by 52.4% (n = 851) in the last 30 days, ecstasy by 8.3% (n = 134), methamphetamine by 6.0% (n = 98), and morphine, codeine, Vicodin, and Demerol by 5.7% (n = 92).
Slightly more than one third of the respondents reported that they had attempted suicide at some point (33.7%; n = 548). A history of a severe substance use problem in their families was reported by 68.5% (n = 1,113), and 25.6% (n = 416) reported having been in substance abuse treatment at some point. More than one half of the respondents reported that they had taken tests to determine their exposure to HIV (57.4%; n = 932) and hepatitis C (52.1%; n = 847). Slightly more than 5.0% (5.2%; n = 84) reported that they had shared needles.
Finally, with regard to the dependent variable, 9.4% (n = 153) reported that they had engaged in survival sex—that is, they had, at some point in their life, exchanged sex for money, foods, drugs, shelter, or clothing.
In this section, we examine six different logistical regression models predicting the likelihood of having engaged in survival sex. We start with a model that includes only demographics (gender, age, race, and sexual orientation) to give us a baseline. From there, we examine models that include the baseline model with variables capturing (a) lifetime drug usage, (b) recent drug usage, (c) mental health experiences, and (d) health-related behaviors. The final model was derived by including all variables that had reached at least a marginal level of significance (p < .10) in the previous models (not shown). For the sake of parsimony, the model was then reduced by eliminating any variable that no longer reached a level of significance using a backward stepwise approach, resulting in the final model.
In the baseline model, we included only demographic variables to predict the likelihood of engaging in survival sex. Table 2, Model 1 provides the information on these results. With regard to gender, we find that females in the sample are no more or less likely to engage in survival sex than males in the sample, but respondents who identify as transgender are 5.6 times as likely to engage in survival sex than males (p = .019). (However, the reader should remember that the subsample of transgender individuals is small, and so caution should be exercised regarding this finding.)
Table 2. Logistic Regressions Predicting Survival Sex Behavior
Variable Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Female 1.01 (0.222) 1.16 (0.325) 1.19 (0.300) 0.88 (0.261) 1.01 (0.211) 0.95 (.314) Transgender 5.64* (4.167) 6.41* (4.957) 7.74** (5.529) 3.35* (2.049) 3.82 2.69 (2.035) Age 1.09** (0.034) 1.00 (0.030) 1.07* (0.035) 1.06* (0.031) 1.04 (0.027) 1.02 (0.031) African American 1.25 (0.222) 2.48*** (0.437) 1.49* (0.277) 1.75** (0.331) 1.43 2.20*** (0.406) Latino 0.77 (0.345) 0.80 (0.327) 0.86 (0.397) 0.88 (0.407) 0.88 (0.341) 0.96 (0.409) Native American 1.20 (0.357) 1.08 (0.422) 1.10 (0.411) 1.06 (0.310) 1.61 (0.569) 1.21 (0.384) Bi- or multiracial 1.22 (0.414) 0.76 (0.366) 1.21 (0.393) 0.95 (0.441) 1.43 (0.503) 0.82 (0.454) Asian American 0.36 (0.304) 0.59 (0.539) 0.39 (0.266) 0.47 (0.380) 0.42 (0.355) 0.36 (0.356) Other race 2.04*** (0.372) 2.39*** (0.465) 2.21*** (0.388) 1.98*** (0.369) 2.08*** (0.424) 2.14*** (0.382) Gay, lesbian, or bisexual 2.73*** (0.471) 1.97** (0.430) 2.02*** (0.413) 1.91*** (0.347) 2.39*** (0.431) 1.70** (0.317) Alcohol (lifetime) 2.48** (0.716) Ecstasy (lifetime) 1.54 (0.561) Methamphetamine (lifetime) 1.53 2.23** (0.586) Inhalants (lifetime) 2.10* (0.796) 2.79** (0.972) Crack (lifetime) 2.41*** (0.553) Valium™ (lifetime) 0.36* (0.155) 2.23** (0.586) Dextromethorphan (lifetime) 0.48* (0.152) Heroin (lifetime) 1.26 (0.408) Ketamine (lifetime) 1.06 (0.200) Morphone (lifetime) 1.79* (0.456) Alcohol (recent) 0.57* (0.137) Ecstasy (recent) 0.46* (0.155) Methamphetamine (recent) 0.53** (0.117) Inhalants (recent) 0.73 (0.425) Crack (recent) 0.88 (0.394) Valium (recent) 1.24 (0.715) Dextromethorphan (recent) 0.98 (0.518) Heroin (recent) 0.44* (0.147) 0.37*** (0.113) Ketamine (recent) 6.22 Morphine (recent) 0.58 (0.235) Suicide attempt 3.25*** (0.608) 3.24*** (0.628) Familial history of substance abuse 3.42*** (0.909) 3.10*** (0.921) Substance abuse treatment 1.75** (0.312) Tested for HIV 2.96** (1.029) 2.61** (0.930) Tested for hepatitis C 0.66 m (0.144) 0.52*** (0.930) Shared needles 5.11*** (1.586) Pseudo .053 .158 .100 .145 .108 .196
Each year, increase in age is associated with an almost 10% increase in likelihood of engaging in survival sex (p < .01). The only racial difference that emerged in likelihood was among those who identified their racial categorization as "other." They were 2.0 times as likely as Whites to have a history of engaging in survival sex. Respondents who identified as gay, lesbian, or bisexual were 2.7 times as likely as heterosexually identified respondents to engage in survival sex (p < .001). Overall, the baseline model predicts 5.3% in the variability in likelihood of having engaged in survival sex among homeless youth.
In the second model (see Table 2, Model 2), we added the 10 variables that capture lifetime drug use to the baseline model. The pattern found in the baseline model with regard to gender holds, whereby females are not significantly different and transgender-identified individuals are significantly more likely (p < .05) to have engaged in survival sex than males. Similarly, the pattern regarding sexual orientation stays the same as well. The age variable, however, is no longer significant. Two differences emerge with regard to race that were not present in the baseline model. Once we control for lifetime drug usage, African American homeless youth are almost 2.5 times as likely to have engaged in survival sex as White homeless youth, and those who indicated "other" as their race are almost 2.4 times as likely as Whites.
Homeless youth and young adults who had ever used ecstasy, ketamine, or heroin were no more or less likely to have engaged in survival sex than homeless youth and young adults who had not used those drugs. Lifetime usage of four drugs examined was associated with significant increases, with usage of one additional drug associated with a marginally significant increase in the likelihood of engaging in survival sex. Respondents who had ever used alcohol were almost 2.5 times as likely (p < .01), those who had used crack were 2.4 times as likely (p < .001), those who had used inhalants were 2.1 times as likely (p < .05), and those who had used morphine, codeine, Vicodin, or Demerol were 1.8 times as likely (p < .05) to have engaged in survival sex than those who had not used the drugs. Respondents who used methamphetamine were 1.5 times as likely as those who had not to have done so, but this result was only marginally statistically significant (p < .10). Lifetime usage of two drugs was associated with statistically significant decreases in likelihood of having engaged in survival sex. Respondents who used DXM–Coricidin (Triple C) were less than one half as likely (p < .05), and those who had used Valium, Librium, or Xanax were one third as likely (p < .05) to have engaged in survival sex. The addition of the lifetime drug use variables increases the amount of variability explained to 15.8%.
In the third model (see Table 2, Model 3), we added the variables capturing recent usage of the 10 drugs to the baseline model. This new model explains 10.0% of the variability in the likelihood of having engaged in survival sex.
Patterns related to gender, age, and sexual orientation remain the same as the baseline model, with the addition of the recent drug usage variables to the model. As with the model where lifetime drug usage variables were added, we find that African Americans are almost 1.5 times as likely (p < .05), and those who identified as "other" for their race were 2.2 times as likely (p < .001), as Whites to have engaged in survival sex.
Usage of five of the drugs in the last 30 days is not associated with a significant increase or decrease in likelihood of engaging in survival sex among homeless youth and young adults. They include (a) inhalants, (b) Valium, Librium, or Xanax, (c) crack, (d) DXM–Coricidin (Triple C), and (e) morphine, codeine, Vicodin, or Demerol. Use of both alcohol and ecstasy in the last 30 days is significantly associated with a decreased likelihood of having engaged in survival sex (p < .05 for both). Likewise, use of heroin in the prior 30 days was associated with a 56% decrease in likelihood, and use of methamphetamine was associated with a 47% decrease in likelihood of having engaged in survival sex (p < .05 and p < .01, respectively). Respondents who had recently used ketamine were marginally significantly more likely to have engaged in survival sex than those who had not (odds ratio [OR] = 6.20; p < .10).
The fourth model contains the baseline model combined with the three mental health-related variables (see Table 2, Model 4). In this model, transgender individuals are still significantly more likely to have engaged in survival sex than males (p < .05), whereas females are no more or less likely to have done so. Age also maintains its significance (p < .05), with an almost 6% increase in likelihood associated with every year increase in age. Both African American homeless youth and young adults, as well as homeless youth and young adults who identify their race as "other," are significantly more likely to have engaged in survival sex than homeless White youth and young adults (p < .01 and p < .001, respectively).
Homeless youth and young adults in the sample who reported that they had attempted suicide at some point in their life were almost 3.3 times as likely (p < .001) as homeless youth and young adults who had not attempted suicide to have engaged in survival sex. Similarly, those who reported a history of severe substance problems in their families were 3.4 times as likely (p < .001) as those who did not report such a familial history. Those youth and young adults who had been in substance abuse treatment at some point in their lives were close to 1.8 times as likely as those who had never been in substance abuse treatment to have engaged in survival sex (p < .01). The addition of the mental health-related variables to the model raises the variability explained by the model to 14.5%.
Table 2, Model 5 displays the results from the model that includes variables regarding health-related variables in addition to the baseline model. Comparing this model to the baseline model with only the demographic variables, we find that only the pattern in the baseline model related to sexual orientation remains the same (p < .001). With regard to gender, females are still no more or less likely than males to have engaged in survival sex, but those who identify as transgender are now only marginally significantly more likely than males to have engaged in survival sex. Controlling for health-related variables, we find that African Americans are marginally more likely than Whites (OR = 1.40; p < .10), and those who chose the "other" race option from the response set were slightly more than twice as likely than Whites (p < .001), to have engaged in survival sex.
Respondents who reported that they had shared needles with others were 5.1 times as likely (p < .001) as those who had not shared needles to report a history of survival sex, whereas those who reported having been tested for HIV were almost 3.0 times as likely (p < .01) as those who had never been tested for HIV to have done so. Those who reported having been tested for hepatitis C were marginally significantly less likely (OR = 0.66; p < .10) to report having engaged in survival sex than those who had never been tested for hepatitis C. This model explains 10.8% of the variability in the dependent variable.
In the final model (see Table 2, Model 6), we have added all variables examined that were at least marginally significant in previous models to the baseline model, and then reduced the model using a backward stepwise procedure to arrive at a reduced model that explains 19.6% of the variability in the likelihood of having engaged in survival sex.
In the full model, neither gender nor age are explanatory. Homeless youth and young adults who identify as African Americans and those who identify as "other" race are significantly more likely than homeless youth who identify as White to engage in survival sex (p < .001 for both). African Americans were 2.2 times as likely, and other-raced respondents were 2.1 times as likely to engage in survival sex. Homeless gay, lesbian, and bisexual youth were 1.7 times as likely to have engaged in survival sex as homeless heterosexual youth.
Lifetime usage of three drugs was associated with survival sex behavior. Two of the drugs were associated with increased likelihood. Those who had used inhalants were close to 2.8 times as likely (p < .01), and those who had used methamphetamine were 2.2 times as likely (p < .01) as those who had not used the drugs to have done so. Those who had ever used Valium or similar drugs were approximately two thirds as likely (OR = 0.36; p < .01) as those who had not used this group of drugs to report a history of engaging in survival sex. Recent usage of only one drug (i.e., heroin) maintained significance in the full model. Those who reported using heroin in the last 30 days were 63% less likely to report engaging in survival sex than those who reported that they had never used heroin (OR = 0.37; p < .001).
Both a history of attempting suicide and a family history of severe substance problems were associated with increased likelihood of engaging in survival sex. Those who attempted suicide were 3.2 times as likely (p < .001), whereas those who had a familial history of severe substance problems were 3.1 times as likely (p < .001) than those who did not report these experiences to have done so. Having tested for HIV was associated with a 2.6 increase in likelihood (p < .01), whereas having tested for hepatitis C was associated with a 0.49 decrease in likelihood (p < .001).
The results presented here should be considered in light of a few limitations. First, although the sample included homeless youth and young adults from 28 different states and DC, the sample cannot be assumed to be representative of homeless youth and young adults. It is likely, given the sampling approaches used, that the majority of respondents were homeless in urban areas, and the sample is influenced further by the size of the Colorado and Denver urban area subsample. Second, the sample similarly likely has an overrepresentation of youth who receive services at community-based social service agencies, either in shelter programs or who receive support services through outreach programs. As such, we would expect an underrepresentation of homeless youth and young adults who do not seek services at youth agencies or who avoid street outreach teams. Third, because housing status was unavailable in the dataset used for these analyses, we were unable to include this variable, which has been found to be one of the strongest predictors of survival sex in previous studies (see Greene et al., [
Many of the findings, particularly those examining psychosocial factors, that emerged in this study mirror the findings found by Greene et al. ([
Previous literature has been mixed on the association of gender and survival sex among homeless youth and young adults. Greene et al. ([
Similarly, the scholarship has been mixed with regard to race, with significant differences emerging in some samples, but not in others. We found for the most part, however, that once we began to control for psychosocial variables, African American homeless youth and young adults were significantly more likely to engage in survival sex than White homeless youth and young adults. Youth who identified as "other" race were significantly more likely to have engaged in survival sex in the demographics-only baseline model, as well as the rest of the models. Data were not available to help us discern what factors might undergird these racial and ethnic differences. It could be that these youth and young adults have fewer options for supporting themselves than do White homeless youth, or that they come from different social class backgrounds, reducing the resources they had at their disposal for survival purposes. Clearly, further exploration of these racial differences could shed light on these results.
Although increases in age were a significant predictor of increases in likelihood of having engaged in survival sex in the baseline model, as well as the models that also captured recent drug and alcohol use and the mental health variables, it lost significance in the models capturing lifetime drug and alcohol usage and the physical health-related variables. Given the correlations between these sets of variables, it may be that it is not age, in and of itself, that increases the risk, but that age provides greater exposure risks to opportunities to be homeless for a longer period of time or to engage in drug and alcohol use, which are associated with increased risks of engaging in survival sex.
Consistent with previous findings, we found that gay, lesbian, and bisexually identified homeless youth and young adults were significantly more likely than heterosexually identified youth to have engaged in survival sex. Based on Gangamma et al.'s ([
Although there is fairly consistent evidence of the relationship between alcohol and drug use and survival sex, much of the scholarship does not reach the level of specificity we were able to examine by drug or by the difference between lifetime usage and usage in the last 30 days. Plotting the relationships between survival sex and drug usage by type of drug usage (lifetime vs. recent) that emerge in these data results in a 2 × 2 diagram (see Table 3). Alcohol and methamphetamine usage were the two substances that demonstrated a significant relationship both in lifetime, as well as recent, usage; this suggests that they may be substances of particular concern for risk in survival sex engagement. Two substances, heroin and ketamine, emerged as significant predictors for recent usage, but not for lifetime usage; this suggests that current users might be at different levels of risk, whereas past use may not be as significantly related to survival sex. A number of substances fell into the category where a history of usage, but not recent usage, was correlated with participation in survival sex: ecstasy, inhalants, crack, Valium, DXM, and morphine. Finally, usage of a number of other substances was not found to be significant in predicting survival sex in either the lifetime or recent usage categories. These included cocaine, cigarettes, marijuana, mushrooms, gamma hydroxybutyric acid (more commonly known as GHB), phencyclidine (more commonly known as PCP), lysergic acid diethylamide (more commonly known as LSD or acid), and OxyContin™. Given that some of the substances (e.g., DXM) are associated with increased likelihood of use during early adolescence, these patterns of usage may potentially be signs of greater psychiatric morbidity or increased likelihood of a range of psychosocial risks.[
Table 3. Relationship for Usage Pattern of Drugs (Lifetime and Recent) and Engagement in Survival Sex
Recent Usage of Substance by Participant Lifetime Usage of Substance by Participant Survival Sex = Yes Survival Sex = No Survival sex = yes AlcoholMethamphetamine HeroinKetamine Survival sex = no EcstasyInhalantsCrackValium™DextromethorphanMorphine Cocaine
As with the existing literature, we found that a history of suicide attempts, familial substance abuse, and having been in substance abuse treatment were all significant predictors of engaging in survival sex, reinforcing the connection between more serious mental health issues and the behavior. It seems probable that family history of substance abuse preceded the engagement in survival sex, but the temporal relationship between suicide attempts and survival sex, or between substance abuse treatment and survival sex, could theoretically go in either direction, or could be related to a common underlying, unmeasured variable. Capturing temporal sequencing of events or conducting longitudinal studies would contribute to a better understanding of the relationship between these experiences.
Similarly, it seems plausible that there are numerous permutations of the relationships between getting tested for HIV and hepatitis C antibodies, as well as sharing needles. IV drug use could easily precede engaging in survival sex and be a factor that drives a homeless youth to engage in survival sex in order to support an addiction. On the other hand, a youth involved in survival sex may find increased opportunity to engage in IV drug use as part of the sexual experiences with their customers.
Some homeless youth and young adults may see survival sex as a necessity. Engaging youth who are considering participating in survival sex in a dialogue prior to their involvement about the potential risks associated with the behavior may be helpful in either preventing their involvement or reducing some of the risks associated with the behavior. With these youth, brainstorming other possible options and referrals to resources to meet their basic needs may alleviate some of the pressure they feel to engage in survival sex.
Working with youth and young adults already involved in survival sex to assist them in decreasing or discontinuing their involvement, or in educating them on methods of reducing risks associated with the behavior, may be a potentially effective intervention. Interventions that support the youth in practicing negotiation of safer sex practices, developing strategies to keep their friends informed of their whereabouts while with customers, or defending themselves against aggressive behavior may be skill sets that are particularly useful in the context of survival sex. However, as Greene et al. ([
At an even more fundamental level, work that addresses the issues in families that lead to youth leaving home or being thrown out of the home are important in decreasing homelessness and the subsequent need for survival sex. This includes intervention and availability of services for drug and alcohol abuse treatment for youth and their family members, abuse prevention services, and similar types of family support and counseling. It also underscores the need to address social justice issues, such as sexism and heterosexism, and how they play a role in the dysfunctions of families that lead to homelessness for youth and young adults.
Service providers working with youth need to recognize the differential level of risks for some groups of youth. Trans-identified homeless youth may be particularly vulnerable to engagement in survival sex, as may gay, lesbian, and bisexual youth. Given the dearth of research on sexual orientation and the almost complete absence of research on gender identity, much work needs to be done to understand the risk factors that contribute to this disproportionate impact on these youth and young adults. Supportive services that address the unique needs of sexual minority youth on the street are lacking.
Youth workers should not assume that survival sex is predominately a risk for homeless females, as our results suggest a similar risk pattern emerges for homeless males. The conflicting findings regarding race and ethnicity make it difficult to discern potential racial differences in risks for survival sex, and more extensive study is needed in this area. In the context of Hickler and Auerswald's ([
The relationship between drug usage and survival sex is complex. However, our results do suggest that alcohol and methamphetamine use may play an especially critical role in survival sex participation. Screening for use of these drugs may be particularly important in identifying youth at increased risk for survival sex. Future research aimed at untangling the sequencing, as well as the multicollinear relationships between usage of various drugs and survival sex, could contribute in significant ways to this literature.
This study further underscores many of the findings that Greene et al. ([
By N. Eugene Walls and Stephanie Bell
Reported by Author; Author