Abstract
This study investigated (a) whether childhood sexual abuse (CSA) was uniquely associated with adult sexual risk behavior, after controlling for other types of childhood maltreatment, and (b) whether there were additive or interactive effects of different types of maltreatment on adult sexual risk behavior. Participants were 414 women (M age = 28 years) attending a publicly-funded STD clinic. All women completed a computerized survey assessing childhood maltreatment (sexual, physical, psychological abuse, and neglect) and sexual risk behavior. Analyses showed that sexual abuse, physical abuse, psychological abuse, and neglect were associated with adult sexual risk behavior. Multivariate analyses that controlled for all other forms of child maltreatment showed that only CSA was uniquely associated with adult sexual risk behavior (i.e., percentage of episodes of unprotected sex in the past 3 months and number of lifetime partners). We found little support for an additive or an interactive model of the effects of different types of childhood maltreatment on adult sexual risk behavior; CSA alone was the best predictor of adult sexual risk behavior. Sexual risk reduction interventions are needed for women who were sexually abused as children. Continued research on the effects of multi-type maltreatment on adult sexual risk behavior is needed.
The association between childhood sexual abuse (CSA) and adult sexual risk behavior is well-documented (Senn, Carey, & Vanable, 2008). However, CSA is often accompanied by other types of child maltreatment (CM), including physical abuse, psychological abuse, and neglect (Arata, Langhinrichsen-Rohling, Bowers, & O’Brien, 2007; Bensley, Eenwyk, & Simmons, 2000; Edwards, Holden, Felitti, & Anda, 2003), which are also related to adult sexual risk behavior (e.g., Wilson & Widom, 2008). It is unclear whether CSA is uniquely associated with adult sexual risk behavior; further, it is unclear whether different types of CM add together or interact with CSA to contribute to sexual risk behavior (Briere, 1992; Saunders, 2003).
Two models have influenced research on CM outcomes. The general effects model suggests that all types of CM are traumatizing and any childhood trauma leads to impairment in psychological functioning (Davis & Petretic-Jackson, 2000; Higgins & McCabe, 2001b). This model is supported by the finding that there is no specific syndrome associated with CSA; rather, sexual abuse is associated with a variety of negative outcomes and there is no unique outcome that characterizes a majority of those who were sexually abused (Kendall-Tackett, Williams, & Finkelhor, 1993). There is also evidence that individuals who experienced sexual abuse only do not differ in psychological outcomes from individuals who experienced physical abuse only (Arata, et al., 2007), suggesting there may be a general effect of any type of trauma on subsequent psychological functioning.
Several general theories of childhood trauma, including those proposed by Briere (2002) and Cicchetti and Toth (2005), include mechanisms by which CM could lead to adult sexual risk behavior. These theories suggest that CM leads to insecure attachment, which could play a role in adult sexual risk behavior (Briere, 2002; Cicchetti & Toth, 2005). Empirical research suggests an association between CM and less secure and more disorganized attachment in childhood (Cyr, Euser, Bakermans-Kranenburg, & Van Ijzendoorn, 2010); these attachment patterns formed during childhood are hypothesized to persist and to influence adult romantic attachment (Cassidy, 2000; Fraley & Shaver, 2000). Individuals who are insecurely attached in their adult romantic relationships may have difficulty trusting others or allowing others to get too close (Fraley & Shaver, 2000), which could lead to multiple, brief sexual relationships. Alternatively, adults who are insecurely attached in their romantic relationships may be so desperate for closeness and love with their partner, and so fearful of rejection (Fraley & Shaver, 2000) that they agree to engage in unsafe sexual risk behavior to maintain their relationship.
In contrast to a general effects model, the differential effects model holds that specific types of CM are associated with specific outcomes (Davis & Petretic-Jackson, 2000; Higgins & McCabe, 2001b). In support of this model, reviews of the research literature have found that sexually abused children consistently exhibit more sexualized behavior as children (Kendall-Tackett, et al., 1993), and more sexual risk behavior as adults (Senn, et al., 2008), suggesting that sexual behavior may be a specific outcome related to CSA.
Theory also suggests that CSA may be uniquely associated with sexual behavior. In their traumagenic dynamics model, Finkelhor and Browne (1985) suggest several mechanisms by which CSA may lead to adult sexual risk behavior. Traumatic sexualization, where a child’s sexual behavior is inappropriately shaped through rewards or attention, could lead to having multiple sexual partners or to unsafe sex in adulthood, with the hope of obtaining affection or other rewards for the sexual behavior. Feeling betrayed by the abuser, or by others’ responses to abuse disclosure, could lead to difficulty trusting others and forming close relationships, which could later result in multiple brief sexual relationships. Powerlessness experienced during the abuse could lead women to feel that they are unable to control sexual situations, which could make it difficult for them to refuse sex (leading to multiple sexual partners) or to refuse unsafe sex (leading to unprotected sex). Although betrayal and powerlessness could result from any type of CM, traumatic sexualization is hypothesized to be uniquely a result of CSA (Finkelhor & Browne, 1985).
Researchers have found an association between CSA and adult sexual risk behavior in a wide variety of populations, including national samples of women (Bensley, et al., 2000), women in drug treatment (El-Bassel, Simoni, Cooper, Gilbert, & Schilling, 2001), incarcerated women (Mullings, Marquart, & Brewer, 2000), and women attending STD clinics (Senn, Carey, Vanable, Coury-Doniger, & Urban, 2006). However, few studies have investigated whether CSA is uniquely associated with sexual risk behavior after controlling for other forms of CM; the few studies to do so have reported conflicting results. Some authors report that sexual abuse is associated with more frequent intercourse, more partners, engaging in sex work, and earlier age of first intercourse, after controlling for other types of CM (Littleton, Breitkopf, & Berenson, 2007; Luster & Small, 1997; Newcomb, Locke, & Goodyear, 2003; Simmons & Whitbeck, 1991; Stock, Bell, Boyer, & Connell, 1997). Other authors have found that after controlling for other types of CM, sexual abuse was not associated with sexual risk behavior (Hobfoll, et al., 2002; Rodgers, et al., 2004). Although studies have often controlled for physical abuse, other types of CM have been less well-investigated (e.g., Luster & Small, 1997; Simmons & Whitbeck, 1991; Stock, et al., 1997). Thus, research is needed to clarify the association between CSA and adult sexual risk behavior, after controlling for other types of CM.
Further, it is unclear whether there is an additive or interactive effect of different types of CM on adult sexual risk behavior. Additive effects are assessed by creating a summary score of the number of different types of CM experienced, or by entering CM variables simultaneously into a model and examining the additional variance accounted for by including additional predictors. The assessment of additive effects is consistent with a general effects model of CM, which posits that the increased burden associated with each additional traumatic event will reduce psychological functioning and lead to greater adverse outcomes (Davis & Petretic-Jackson, 2000; Higgins & McCabe, 2001b). Several researchers have found that a greater number of different types of CM or adverse childhood events was associated with greater sexual risk behavior and STD diagnosis (Dube, Felitti, Dong, Giles, & Anda, 2003; Hahm, Lee, Ozonoff, & Van Wert, 2010; Rodgers, et al., 2004; Smith, Leve, & Chamberlain, 2006), suggesting that there may be an additive effect of experiencing different forms of CM.
However, there are limitations to additive models, particularly models in which a summary score of the number of types of CM experienced is created. First, these models weight all conditions equally; additive models do not take into account that one condition may be more strongly associated with an outcome (Lash, et al., 2007). Second, additive models do not allow for the possibility that certain combinations of conditions may be associated with worse outcomes than other combinations (Lash, et al., 2007). For example, the combination of CSA (which uniquely leads to traumatic sexualization) and any other type of CM (which leads to general psychological impairment) may result in the greatest adult sexual risk behavior, whereas other combinations of CM types that do not include CSA, and therefore lack the traumatic sexualization component, may not lead to increased adult sexual risk behavior. Finally, if certain types of abuse are more likely to occur as part of a constellation of multi-type maltreatment, the sum of the number of types of CM may be confounded with abuse type.
The assessment of interaction effects allows investigators to explore these possibilities, consistent with a differential effects model where certain types of CM are believed to be more strongly associated with certain outcomes (Davis & Petretic-Jackson, 2000; Higgins & McCabe, 2001b). To our knowledge, three studies have explored the interactions of different types of CM on adult sexual risk behavior. In one study, adolescents who reported a combination of (a) sexual abuse and neglect or (b) sexual abuse, physical abuse, and neglect were more likely to report multiple sexual partners than those who reported no CM; those reporting sexual abuse only, physical abuse only, neglect only, a combination of sexual abuse and physical abuse, or a combination of physical abuse and neglect did not differ from the no CM group (Arata, et al., 2007). Luster and Small (1997) found an interaction between physical and sexual abuse, such that those experiencing both types of abuse reported more sexual partners than those who were not abused. In contrast, Hobfoll et al. (2002) did not find an interaction between CSA and physical/emotional abuse on sexual risk behavior. Overall, there is limited evidence that specific types of abuse may interact to result in sexual risk behavior; further research is needed.
Thus, this study had three primary goals: (a) to determine whether CSA is associated with adult sexual risk behavior after controlling for other types of CM, and whether the other types of CM add to the prediction of adult sexual risk behavior, above and beyond what is accounted for by CSA alone (additive model #1); (b) to determine whether experiencing more types of CM is associated with greater adult sexual risk behavior (additive model #2); and (c) to determine whether different types of CM interact to result in greater sexual risk behavior than experiencing a single type of CM (interactive model). Based on previous findings and theory, we hypothesized that (a) CSA would be uniquely associated with sexual risk behavior after controlling for other types of CM; (b) experiencing more types of CM would be associated with greater sexual risk behavior; and (c) the combination of CSA and any other type of CM, but not any combinations of CM that do not include CSA, would be associated with the greatest sexual risk behavior.
Methods
Participants
Participants were 414 women (66% African American, 18% Caucasian, 7% Multiracial, 1% American Indian, 1% Asian, < 1% Pacific Islander, and 6% other) attending a publicly-funded STD clinic. Women ranged in age from 18 to 55 (M = 28 years; SD = 9 years); most had a high school education or less (57%; n = 236), had never married (79%; n = 325), and earned < $15,000/year (55%; n = 224) with 48% (n = 199) being unemployed. Ten (2%) reported forced or coerced sexual contact in the past 3 months.
Procedures
A female research assistant (RA) screened patients in a private room; 85% of patients met study criteria (i.e., age 18 or older, sexually active in the past 3 months). Eligible patients had the study explained; those who were interested and demonstrated capacity to consent (Zayas & Perez, 2005) were enrolled. Sixty-two percent of those who were eligible agreed to participate. The primary reason for declining participation was lack of time (reported by 79% of decliners). Other reasons for declining participation included: just wanting treatment; lack of interest; and physical or psychological issues (e.g., very tired; too anxious). Next, women completed a calendar of salient events to orient them to the assessment timeframe, and then completed an Audio Computer-Assisted Self-Interview (ACASI) in private. After the ACASI, women engaged in audiotaped role plays and completed a condom skills protocol (Forsyth, Carey, & Fuqua, 1997). Participants were reimbursed $20 for their time, and provided with a list of local, low-and no-cost counseling centers. Participation in the study took approximately one hour. All procedures were approved by the Institutional Review Boards of the participating institutions.
Measures
Demographics characteristics
Participants reported their age, race, education level, income, employment status, and marital status. Participants were also asked whether they were ever forced or pressured to have sexual contact, and whether this occurred in the past 3 months.
Childhood maltreatment
To assess CSA, participants reported details of their sexual experiences before age 18; they could report as many as 10 experiences. Items included: (a) the participant’s age at the time of the experience; (b) the other person’s age; (c) the type of experience (kissing, sexual touching, receiving or giving oral sex, vaginal or anal sex); and (d) whether the experience involved force or threat of force. Items were adapted from Finkelhor (1979). Women were included in the CSA category if they: (a) reported oral, vaginal, or anal sex at age 12 or younger with someone 5 or more years older; (b) reported oral, vaginal, or anal sex at age 16 or younger with someone 10 or more years older; or (c) reported oral, vaginal, or anal sex at age 16 or younger where they were forced or threatened with force.
Items from the Comprehensive Child Maltreatment Scale (CCMS; Higgins & McCabe, 2001a) assessed childhood physical abuse, psychological abuse, and neglect. Prior research established the reliability and validity of the CCMS when assessing adults’ retrospective reports of CM (Higgins & McCabe, 2001a). Participants rated the frequency of their caregivers’ behaviors during childhood on a 5-point scale [never or almost never (0) to very frequently (4)]. Three items assessed physical abuse (smacked, grabbed, or shaken; hit, punched, or kicked; hurt to the point of requiring medical attention); two items assessed psychological abuse (ridiculed or embarrassed; made afraid or used cruelty); and three items assessed neglect (not given regular meals or baths; shut in a room for an extended period of time; ignored or not spoken to for an extended period of time). One psychological maltreatment item included in the original measure was dropped (yelled) because the majority of participants (85%) indicated that their parents engaged in this behavior at least occasionally. Internal consistency reliability for the three subscales in this sample was acceptable (α = .77 for physical abuse, .90 for psychological abuse, and .72 for neglect). Responses were dichotomized, so that participants who reported their parents at least occasionally engaged in these behaviors were considered to have experienced the corresponding form of CM; participants who indicated their parents or caregivers never or almost never engaged in those behaviors were categorized as not having experienced that type of CM. This definition is consistent with (a) large-scale studies of CM that have categorized even occasional experiences as abusive (e.g., Finkelhor, Ormrod, & Turner, 2007), and (b) our definition of sexual abuse, in which even a single instance was categorized as CSA. The number of different CM types experienced was summed to create an additive CM score.
Adult sexual risk behavior
Participants reported the number of men and the number of women with whom they had sex in their lifetime and in the past 3 months. Responses were summed to derive the total number of sexual partners (lifetime, past 3 months). Participants reported the number of condom-protected and unprotected (i.e., without a condom) vaginal and anal sex episodes with steady and non-steady partners in the past 3 months. Responses were summed to derive the total number of unprotected sex (vaginal + anal) episodes and the percentage of unprotected sex episodes [(unprotected vaginal + unprotected anal)/(unprotected vaginal + protected vaginal + unprotected anal + protected anal)] * 100 in the past 3 months. All questions have been used extensively in previous research with women (Carey, et al., 2000; Carey, Vanable, Senn, Coury-Doniger, & Urban, 2008), and are consistent with published recommendations on assessing sexual risk behavior (Schroder, Carey, & Vanable, 2003; Weinhardt, Forsyth, Carey, Jaworski, & Durant, 1998).
Data Analysis
Data were inspected for outliers (> 3 SD from the 75th percentile); outliers were trimmed (to 3 SD from the 75th percentile + 1). The percentage of episodes of unprotected sex was transformed [2 * arcsine (sqrt %)]. Data that were non-normally distributed (i.e., number of episodes of unprotected sex) were transformed using a log10 (x + .0001) transformation.
Analyses determined which demographic variables were associated with CM and with the dependent variables, and these variables were used as covariates in subsequent analyses. First, to determine whether CM types were independently associated with sexual risk behavior, analyses of covariance (ANCOVAs) with a single independent variable (i.e., sexual abuse, physical abuse, psychological abuse, neglect) were conducted. Second, to determine whether CM types were uniquely associated with sexual risk behavior, controlling for other CM types, ANCOVAs were conducted with four independent variables (sexual abuse, physical abuse, psychological abuse, neglect). Third, to determine whether other types of CM contributed to the prediction of adult sexual risk behavior beyond the variance accounted for by CSA (additive model #1), the change in R2 between the models including only CSA and the models including all four types of CM was compared. Fourth, to determine whether experiencing more types of CM was associated with sexual risk behavior (additive model #2), ANCOVAs were conducted with the sum of the number of CM types experienced as the independent variable. To ensure that an association between the number of CM types and sexual risk behavior was not due to individuals who experienced CSA being more likely to have experienced multiple types of CM, we also conducted additive analyses controlling for the effects of CSA. Finally, to determine whether the interaction between specific types of CM was associated with sexual risk behavior (interactive model), ANCOVAs including all four CM types as the independent variables, as well as two-way interactions between the CM types, were conducted. Significant interactions were investigated using Tukey’s test.
Results
Adult Sexual Risk Behavior
Participants reported engaging in high rates of lifetime and recent sexual risk behavior. On average, women reported M = 21.9 lifetime sexual partners (SD = 21.9; median = 13) and an average of M = 2.1 (SD = 1.9) partners during the past 3 months. Women reported an average of M = 16.9 episodes of unprotected sex (SD = 20.8) in the past 3 months; on average, M = 67% of sexual episodes in the past 3 months were unprotected (SD = 34%).
Childhood Maltreatment
As indicated in Table 1, participants reported high rates of CM. Most women (80%; n = 330) reported at least one type of CM, with 56% (n = 232) reporting multiple types of CM. Few participants (4%; n = 18) reported CSA without another type of abuse. Those who reported CSA were more likely than those who did not to report physical abuse, χ2(N = 414) = 11.78, p < .001, OR = 2.12 (CI = 1.37–3.26); psychological abuse, χ2(N = 414) = 16.96, p < .001, OR = 2.58 (CI = 1.63–4.08); and neglect, χ2(N = 414) = 14.96, p < .001, OR = 2.29 (CI = 1.50–3.51).
Table 1.
Prevalence of Childhood Maltreatment
Any Experience of Abuse | n | % |
---|---|---|
Sexual Abuse | 129 | 31 |
Physical Abuse | 221 | 53 |
Psychological Abuse | 247 | 60 |
Neglect | 192 | 46 |
Sexual + Physical | 85 | 21 |
Sexual + Psychological | 96 | 23 |
Sexual + Neglect | 78 | 19 |
Physical + Psychological | 180 | 43 |
Physical + Neglect | 152 | 37 |
Psychological + Neglect | 158 | 38 |
Sexual + Physical + Psychological Abuse | 76 | 18 |
Sexual + Physical + Neglect | 65 | 16 |
Sexual + Psychological + Neglect | 70 | 17 |
Physical + Psychological + Neglect | 142 | 34 |
Sexual + Physical + Psychological + Neglect | 63 | 15 |
Covariate Analyses
Race (dichotomized as non-Caucasian vs. Caucasian, because being non-Caucasian may serve as a marker for having experienced racial discrimination) was associated with psychological abuse, χ2 (N = 413) = 4.00, p < .05; Caucasians were more likely to report childhood psychological abuse, 70% versus 57%. Current age was associated with CSA, t(412) = −2.19, p < .05, and with neglect, t(412) = −2.06, p < .05. Older individuals were more likely to report CSA (M = 29.3, SD = 9.1 years vs. M = 27.2, SD = 8.8 years) and neglect (M = 28.8, SD = 9.7 years vs. M = 27, SD = 8.2 years).
Education was associated with the number of sexual partners in the past 3 months, t(412) = −2.34, p < .05; those with a high school or less education reported more sexual partners than those with some college (M = 2.3, SD = 2.1 vs. M = 1.9, SD = 1.6). Employment was associated with the number of partners in the past 3 months, t(412) = −2.45, p < .05, and with the number of lifetime partners, t(412) = −2.04, p < .05. Unemployed participants reported more partners (past 3 months and lifetime) than employed participants (M = 2.4, SD = 2.1 vs. M = 1.9, SD = 1.6, 3 months; M = 24.2, SD = 23.3 vs. M = 19.8, SD = 20.3, lifetime). Income was associated with the number of sexual partners in the past 3 months, t(404) = −3.89, p < .001, and with the number of lifetime partners, t(404) = −2.46, p < .05, with participants making <$15,000/year reporting more 3 month and lifetime partners than those making > $15,000/year (M = 2.5, SD = 2.2 vs. M = 1.8, SD = 1.3, 3 months; M = 24.6, SD = 23.5 vs. M = 19.2, SD = 19.7, lifetime). Age was associated with the number of lifetime partners, F(1, 412) = 26.02, p < .001, and with the percentage of episodes of unprotected sex, F(1, 404) = 6.12, p < .05, with older age associated with more lifetime sex partners and a greater percentage of episodes of unprotected sex. Variables that were related to either abuse status or the sexual behavior outcome were included as covariates in the relevant analyses.
Independent Relations Between Type of Child Maltreatment and Adult Sexual Risk Behavior
Table 2 displays the Ms and SDs for each sexual behavior outcome, by abuse status. In analyses investigating each type of CM as a predictor of adult sexual risk behavior, each of the four types of CM was related to adult risk behavior, after adjusting for covariates (Table 3). CSA was associated with a greater percentage of episodes of unprotected sex in the past 3 months and more lifetime partners. Physical abuse was associated with a greater number of lifetime partners. Psychological abuse was associated with more lifetime partners. Neglect was associated with a greater number of partners in the past 3 months and a greater number of lifetime partners. None of the CM variables were associated with the number of episodes of unprotected sex in the past 3 months.
Table 2.
Adult Sexual Risk Behavior, by Maltreatment Category
Abuse Type | Unpro. Sex (No.) | Unpro. Sex (%) | Partners, 3 Mo. (No.) | Partners, Life (No.) | ||||
---|---|---|---|---|---|---|---|---|
M | SD | M | SD | M | SD | M | SD | |
Sexual | 19.5 | 21.3 | 72 | 34 | 2.3 | 2.1 | 31.8 | 25.2 |
No Sexual | 15.7 | 20.5 | 64 | 34 | 2.1 | 1.8 | 17.4 | 18.6 |
Physical | 15.5 | 20.2 | 66 | 34 | 2.3 | 1.9 | 24.4 | 22.3 |
No Physical | 18.5 | 21.5 | 68 | 35 | 2.0 | 1.8 | 19.1 | 21.1 |
Psych. | 17.1 | 21.6 | 67 | 34 | 2.3 | 1.9 | 24.4 | 22.7 |
No Psych. | 16.6 | 19.8 | 67 | 35 | 1.9 | 1.8 | 18.2 | 20.2 |
Neglect | 15.8 | 20.2 | 66 | 34 | 2.4 | 2.0 | 25.2 | 23.4 |
No Neglect | 17.9 | 21.4 | 68 | 35 | 1.9 | 1.7 | 19.1 | 20.1 |
Child Maltreatment, No. types experienced | ||||||||
0 | 15.9 | 19.4 | 64 | 36 | 1.8 | 1.6 | 12.4 | 14.7 |
1 | 17.5 | 21.5 | 66 | 34 | 2.0 | 1.6 | 19.9 | 20.5 |
2 | 20.0 | 23.0 | 72 | 34 | 2.1 | 2.0 | 25.9 | 23.1 |
3 | 15.8 | 21.1 | 67 | 34 | 2.4 | 2.1 | 23.4 | 22.6 |
4 | 15.8 | 19.1 | 66 | 34 | 2.4 | 2.1 | 30.9 | 24.6 |
Note. Unpro. Sex = unprotected sex (i.e., no condom used). Psych. = psychological. Mo. = month. No. = number.
Table 3.
Independent Relations Between Child Maltreatment and Adult Sexual Risk Behavior
Variable | Unpro. Sex (No.) | Unpro. Sex (%) | Partners, 3 Mo. (No.) | Partners, Life (No.) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
df | F | η2 | df | F | η2 | df | F | η2 | df | F | η2 | |
Sexual Abuse | ||||||||||||
Education | 1, 400 | 1.49 | ||||||||||
Employment | 1, 400 | 1.23 | 1, 401 | 1.73 | ||||||||
Income | 1, 400 | 7.87** | .02 | 1, 401 | 2.76 | |||||||
Age | 1, 408 | 1.78 | 1, 403 | 5.06* | .01 | 1, 400 | 0.33 | 1, 401 | 20.11*** | .04 | ||
Sexual Abuse | 1, 408 | 1.21 | 1, 403 | 3.96* | .01 | 1, 400 | 0.68 | 1, 401 | 36.47*** | .08 | ||
Physical Abuse | ||||||||||||
Education | 1, 401 | 1.71 | ||||||||||
Employment | 1, 401 | 1.17 | 1, 401 | 1.49 | ||||||||
Income | 1, 401 | 7.72** | .02 | 1, 401 | 3.12 | |||||||
Age | 1, 403 | 6.25* | .02 | 1, 401 | 24.48*** | .06 | ||||||
Physical Abuse | 1, 409 | 0.44 | 1, 403 | 0.29 | 1, 401 | 2.80 | 1, 401 | 4.58* | .01 | |||
Psychological Abuse | ||||||||||||
Education | 1, 399 | 2.36 | ||||||||||
Employment | 1, 399 | 1.48 | 1, 399 | 2.03 | ||||||||
Income | 1, 399 | 8.27** | .02 | 1, 399 | 3.77 | |||||||
Race | 1, 407 | 0.39 | 1, 401 | 0.03 | 1, 399 | 4.43* | .01 | 1, 399 | 2.87 | |||
Age | 1, 401 | 6.10* | .02 | 1, 399 | 23.00*** | .05 | ||||||
Psychological Abuse | 1, 407 | 0.00 | 1, 401 | 0.08 | 1, 399 | 3.51 | 1, 399 | 5.38* | .01 | |||
Neglect | ||||||||||||
Education | 1, 400 | 1.33 | ||||||||||
Employment | 1, 400 | 1.07 | 1, 401 | 1.40 | ||||||||
Income | 1, 400 | 7.59** | .02 | 1, 401 | 2.93 | |||||||
Age | 1, 408 | 1.32 | 1, 403 | 6.42* | .02 | 1, 400 | 0.21 | 1, 401 | 23.02*** | .05 | ||
Neglect | 1, 408 | 0.53 | 1, 403 | 0.61 | 1, 400 | 4.12* | .01 | 1, 401 | 5.10* | .01 |
Note. A blank space in the η2 column indicates no significant variance was explained by the variable. Unpro. Sex = unprotected sex. Mo. = month. No. = number.
p < .05.
p < .01.
p < .001.
Unique Relations Between Each Type of Child Maltreatment and Adult Sexual Risk Behavior, Controlling for Other Types of Child Maltreatment
In multivariate analyses controlling for covariates and all other types of abuse, CSA remained associated with the percentage of episodes of unprotected sex in the past 3 months and with the number of lifetime partners. Physical abuse, psychological abuse, and neglect were not associated with any of the adult sexual risk behavior outcomes (Table 4).
Table 4.
Unique Relations Between Child Maltreatment and Adult Sexual Risk Behavior
Variable | Unpro. Sex (No.) | Unpro. Sex (%) | Partners, 3 Mo. (No.) | Partners, Life (No.) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
df | F | η2 | df | F | η2 | df | F | η2 | df | F | η2 | |
Education | 1, 395 | 2.32 | ||||||||||
Employment | 1, 395 | 1.22 | 1, 396 | 1.99 | ||||||||
Income | 1, 395 | 7.72** | .02 | 1, 396 | 3.07 | |||||||
Race | 1, 403 | 0.33 | 1, 398 | 0.04 | 1, 395 | 4.52* | .01 | 1, 396 | 3.48 | |||
Age | 1, 403 | 1.49 | 1, 398 | 5.33* | .01 | 1, 395 | 0.11 | 1, 396 | 18.05*** | .04 | ||
Sexual Abuse | 1, 403 | 1.59 | 1, 398 | 4.94* | .01 | 1, 395 | 0.09 | 1, 396 | 31.04*** | .07 | ||
Physical Abuse | 1, 403 | 0.31 | 1, 398 | 0.17 | 1, 395 | 0.25 | 1, 396 | 0.18 | ||||
Psychological Abuse | 1, 403 | 0.10 | 1, 398 | 0.01 | 1, 395 | 0.71 | 1, 396 | 0.41 | ||||
Neglect | 1, 403 | 0.39 | 1, 398 | 0.50 | 1, 395 | 0.98 | 1, 396 | 0.47 | ||||
R2 | R2 | R2 | R2 | |||||||||
R2 CSA Only Model | .008 | .03 | .06 | .17 | ||||||||
R2 All CM Model | .01 | .03 | .07 | .17 | ||||||||
df | F | df | F | df | F | df | F | |||||
R2 Δ | 3, 403 | 0.27 | 3, 398 | 0 | 3, 395 | 1.42 | 3, 396 | 0 |
Note. A blank space in the η2 column indicates no significant variance was explained by the variable. Unpro. Sex = unprotected sex. Mo. = month. No. = number. CSA = childhood sexual abuse. CM = childhood maltreatment.
p < .05.
p < .01.
p < .001.
Additive Effect of Childhood Maltreatment
To determine whether there was an additive effect of the different types of CM, we first compared the percentage of variance explained by the model including CSA only to the percentage of variance explained by a model including all four types of CM as predictors. The change in R2 between the models was nonsignificant for all of the sexual risk behavior outcomes, indicating that the other types of CM did not improve the prediction of sexual risk behavior, beyond what was predicted by CSA and the covariates (Table 4).
To further investigate the possibility of an additive effect of CM, we summed the number of different types of CM experienced and investigated whether this variable was associated with sexual risk behavior (Table 5). The sum of the number of different types of CM experienced was associated with the number of lifetime partners. In follow-up analyses, those with no CM reported fewer lifetime partners than those with two, three, or four CM experiences. In addition, those with one CM experience reported fewer sex partners than those with four CM experiences. The number of types of CM experiences was not associated with the number or percentage of episodes of unprotected sex, or with the number of partners in the past 3 months.
Table 5.
Relation Between Number of Different Types of Childhood Maltreatment and Adult Sexual Risk Behavior
Variable | Unpro. Sex (No.) | Unpro. Sex (%) | Partners, 3 Mo. (No.) | Partners, Life (No.) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
df | F | η2 | df | F | η2 | df | F | η2 | df | F | η2 | |
Model A: Control for Covariates | ||||||||||||
Education | 1, 398 | 1.74 | ||||||||||
Employment | 1, 398 | 1.08 | 1, 398 | 1.44 | ||||||||
Income | 1, 398 | 7.46** | .02 | 1, 398 | 2.55 | |||||||
Age | 1, 400 | 5.68* | .01 | 1, 398 | 20.14*** | .04 | ||||||
CM Types (#) | 4, 406 | 0.58 | 4, 400 | 0.24 | 4, 398 | 1.64 | 4, 398 | 6.28*** | .05 | |||
Model B: Control for Covariates and Sexual Abuse | ||||||||||||
Education | 1, 397 | 1.60 | ||||||||||
Employment | 1, 397 | 1.08 | 1, 398 | 1.66 | ||||||||
Income | 1, 397 | 7.43** | .02 | 1, 398 | 2.57 | |||||||
Age | 1, 405 | 1.64 | 1, 400 | 5.45* | .01 | 1, 397 | 0.17 | 1, 398 | 19.38*** | .04 | ||
Sexual Abuse | 1, 405 | 0.47 | 1, 400 | 4.74* | .01 | 1, 397 | 1.74 | 1, 398 | 31.00*** | .06 | ||
CM Types (no., not including CSA) | 3, 405 | 1.59 | 3, 400 | 0.69 | 3, 397 | 0.10 | 3, 398 | 2.14 |
Note. A blank space in the η2 column indicates no significant variance was explained by the variable. Unpro. Sex = unprotected sex; CSA = childhood sexual abuse. CM = childhood maltreatment. Mo. = month. No. = number.
p < .05.
p < .01.
p < .001.
To ensure that this effect was not due to CSA being confounded with the number of other types of CM experienced, we conducted analyses controlling for the effect of CSA. (In these analyses, the independent variable was the sum of all types of CM other than CSA.) CSA was associated with the percentage of episodes of unprotected sex and with the number of lifetime partners. The number of types of CM was not associated with any of the sexual risk behavior outcomes after controlling for the effects of CSA.
Interactive Effect of Child Maltreatment
Analyses were conducted to investigate associations between each pairwise interaction of CM types and adult sexual risk behavior. The cell sizes formed by each two-way interaction of abuse types are presented in Table 6. The interaction between CSA and psychological abuse was associated with both the number of episodes of unprotected sex and with the percentage of episodes of unprotected sex in the past 3 months (Table 7). Follow-up Tukey tests showed that the group that experienced CSA only reported more episodes of unprotected sex (adjusted M = 24.5, SD = 22.6) than the group that experienced neither CSA nor psychological abuse (adjusted M = 11.5, SD = 18.3). Similarly, the group that experienced CSA only reported a greater percentage of episodes of unprotected sex (adjusted M = 84, SD = 26%) than the group reporting neither CSA nor psychological abuse (adjusted M = 61, SD = 36%). The group reporting both CSA and psychological abuse and the group reporting psychological abuse only did not differ from the other groups in the number of episodes of unprotected sex (adjusted M CSA + psychological = 18.6, SD = 20.3; adjusted M psychological only = 18.5, SD = 22.4) or the percentage of episodes of unprotected sex (adjusted M CSA + psychological = 69, SD = 35%; adjusted M psychological only = 69, SD = 33%).
Table 6.
Cell Sizes Formed by Each Two-way Interaction of Childhood Maltreatment Types
Childhood Maltreatment Type | n |
---|---|
Sexual Abuse × Physical Abuse | |
No Sexual Abuse + No Physical Abuse | 149 |
No Sexual Abuse + Physical Abuse | 136 |
Sexual Abuse + No Physical Abuse | 44 |
Sexual Abuse + Physical Abuse | 85 |
Sexual Abuse × Psychological Abuse | |
No Sexual Abuse + No Psychological Abuse | 134 |
No Sexual Abuse + Psychological Abuse | 151 |
Sexual Abuse + No Psychological Abuse | 33 |
Sexual Abuse + Psychological Abuse | 96 |
Sexual Abuse × Neglect | |
No Sexual Abuse + No Neglect | 171 |
No Sexual Abuse + Neglect | 114 |
Sexual Abuse + No Neglect | 51 |
Sexual Abuse + Neglect | 78 |
Physical Abuse × Psychological Abuse | |
No Physical Abuse + No Psychological Abuse | 126 |
No Physical Abuse + Psychological Abuse | 67 |
Physical Abuse + No Psychological Abuse | 41 |
Physical Abuse + Psychological Abuse | 180 |
Physical Abuse × Neglect | |
No Physical Abuse + No Neglect | 153 |
No Physical Abuse + Neglect | 40 |
Physical Abuse + No Neglect | 69 |
Physical Abuse + Neglect | 152 |
Psychological Abuse × Neglect | |
No Psychological Abuse + No Neglect | 133 |
No Psychological Abuse + Neglect | 34 |
Psychological Abuse + No Neglect | 89 |
Psychological Abuse + Neglect | 158 |
Table 7.
Interactions Between Different Types of Childhood Maltreatment and Adult Sexual Risk Behavior
Variable | Unpro. Sex (No.) | Unpro. Sex (%) | Partners, 3 Mo. (No.) | Partners, Life (No.) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
df | F | η2 | df | F | η2 | df | F | η2 | df | F | η2 | |
Education | 1, 389 | 1.93 | ||||||||||
Employment | 1, 389 | 1.14 | 1, 390 | 1.55 | ||||||||
Income | 1, 389 | 8.44** | .02 | 1, 390 | 3.68 | |||||||
Race | 1, 397 | 0.22 | 1, 392 | 0.13 | 1, 389 | 4.32* | .01 | 1, 390 | 3.92* | .01 | ||
Age | 1, 397 | 1.80 | 1, 392 | 4.52* | .01 | 1, 389 | 0.11 | 1, 390 | 17.63*** | .04 | ||
Sexual Abuse | 1, 397 | 4.87* | .01 | 1, 392 | 9.20** | .02 | 1, 389 | 0.01 | 1, 390 | 29.60*** | .06 | |
Physical Abuse | 1, 397 | 0.65 | 1, 392 | 0.91 | 1, 389 | 0.07 | 1, 390 | 0.15 | ||||
Psychological Abuse | 1, 397 | 0.28 | 1, 392 | 0.34 | 1, 389 | 0.91 | 1, 390 | 0.03 | ||||
Neglect | 1, 397 | 0.09 | 1, 392 | 0.14 | 1, 389 | 0.48 | 1, 390 | 0.91 | ||||
Sexual Abuse × Physical Abuse | 1, 397 | 0.00 | 1, 392 | 0.14 | 1, 389 | 0.89 | 1, 390 | 2.23 | ||||
Sexual Abuse × Psychological Abuse | 1, 397 | 7.89** | .02 | 1, 392 | 5.79* | .01 | 1, 389 | 1.46 | 1, 390 | 0.20 | ||
Sexual Abuse × Neglect | 1, 397 | 1.65 | 1, 392 | 0.99 | 1, 389 | 0.44 | 1, 390 | 0.08 | ||||
Physical Abuse × Psychological Abuse | 1, 397 | 0.63 | 1, 392 | 0.17 | 1, 389 | 0.61 | 1, 390 | 0.19 | ||||
Physical Abuse × Neglect | 1, 397 | 0.51 | 1, 392 | 1.61 | 1, 389 | 0.45 | 1, 390 | 0.50 | ||||
Psychological Abuse × Neglect | 1, 397 | 0.57 | 1, 392 | 0.73 | 1, 389 | 0.00 | 1, 390 | 5.75* | .01 |
Note. A blank space in the η2 column indicates no significant variance was explained by the variable. Unpro. Sex = unprotected sex.
Mo. = month. No. = number.
p < .05.
p < .01.
p < .001.
The interaction between psychological abuse and neglect was associated with the number of lifetime partners, p < .05. However, in follow-up Tukey tests, none of the groups were significantly different from each other, perhaps due to the conservative nature of the Tukey test, which controls for experimentwise error.
Discussion
Participants reported high rates of CM; 80% of the sample reported experiencing at least one type of childhood abuse. These rates are higher than those found in the general population, where 47% of women report CM (Hahm, et al., 2010). Across men and women, national estimates for CSA average 5%, compared to 31% in the present study; for physical abuse, national rates average 28%, compared to 37% in the present study; and national rates for neglect range from 12% to 38%, compared to 46% in this study (Hahm, et al., 2010; Hussey, Chang, & Kotch, 2006). The rates of abuse reported in this study may reflect the adverse childhood conditions of many participants, and/or the broad CM criteria used in the present study.
Consistent with findings from other studies, participants reporting one type of CM frequently reported experiencing at least one other type of CM (Edwards, et al., 2003; Finkelhor, et al., 2007; Higgins & McCabe, 2000). Researchers have hypothesized that this clustering of different types of CM may be due to bi-directional influences between children’s environments and children’s own personal characteristics; in addition, CM may shape children’s attitudes and behaviors in a way that increases the likelihood of further CM (Finkelhor, et al., 2007; Lynch & Cicchetti, 1998). The high rates of co-occurrence of different types of CM found in this and other studies indicate that researchers should not study each type of CM in isolation.
Three major findings emerged from this research. First, CSA remained uniquely associated with adult sexual risk behavior, even after controlling for other types of CM; in contrast, physical abuse, psychological abuse, and neglect were not uniquely associated with adult sexual risk behavior after controlling for other types of CM. This finding suggests that there may be differential effects of CSA on outcomes, specifically on sexual behavior outcomes, and is in accordance with both empirical findings and theory. Several researchers have found that CSA is associated with adult sexual risk behavior, after controlling for other types of CM (e.g., Littleton, et al., 2007; Newcomb, et al., 2003). Although some researchers have not found this association (e.g., Hobfoll, et al., 2002; Rodgers, et al., 2004), this may be due to lack of power; because CM types are highly correlated, a large sample size is needed to be able to detect an effect of CSA after partialing out the effect of other forms of abuse (Briere, 1988, 1992). In addition, studies differ in their measurement and definition of CM, as well as in the different types of CM that were assessed, which could also explain differences in findings across studies. The two studies that did not find an association between CSA and adult sexual risk behavior (after controlling for other types of CM) differed from the current study in three ways: (a) they used a continuous (rather than a dichotomous) measure of each abuse type; (b) they had several hundred fewer participants than the current study; and (c) these studies either used more (five types of CM, with neglect partitioned into emotional neglect and physical neglect) or less (two types of CM: sexual abuse and physical/emotional abuse) CM categories compared to the current study (Hobfoll, et al., 2002; Rodgers, et al., 2004).
Finkelhor and Browne’s (1985) traumagenic dynamics theory suggests that sexual behavior may be an outcome that is uniquely associated with CSA. Traumatic sexualization, in which a child’s sexual feelings and attitudes are inappropriately shaped and reinforced, is believed to be uniquely associated with CSA. As individuals who were sexually abused come to associate sexual behavior with affection or rewards, or learn to use sex to get their needs met, they may acquiesce to sex with multiple partners and exhibit vulnerability to unsafe sex. Another potential pathway from CSA to sexual risk behavior that has received empirical support is stigmatization. In a longitudinal study, Feiring, Simon, and Cleland (2009) found an indirect path from CSA severity to stigmatization, and then to sexual difficulties (a composite measure of sexual concerns and dysfunctional sexual behavior). They suggest that the shame and self-blame experienced as a result of the sexual abuse may continue into later sexual relationships, resulting in a negative sexual self-schema and impaired sexual relationships (Feiring, et al., 2009), which could lead to multiple sexual partners. Other pathways from CSA to adult sexual risk behavior that have received empirical support include substance use and partner violence (NIMH Multisite Prevention Trial Group, 2001; Senn, et al., 2006). Further research is needed to investigate these and other pathways through which CSA may lead to adult risk behavior.
Caution must be exercised when interpreting the finding that CSA, but not other types of CM, was associated with adult sexual risk behavior. Because ANCOVA assesses only the unique variance associated with each predictor, it is possible that the other types of CM are associated with sexual risk behavior but, because they share so much variance with CSA, once that shared variance is partialed out we were no longer able to detect an effect. Briere (1988, 1992) cautioned that when using statistical techniques to covary or partial out effects, results may be misleading if the CM variables are highly correlated, as they were in this study, and that such analyses should not be conducted to determine which independent variables are more important. We can conclude from this study that CSA is uniquely associated with adult sexual risk behavior, after controlling for other types of CM. However, because of the multicollinearity of the CM types, we cannot conclude that other types of CM are unrelated to adult sexual risk behavior.
Further, the association between CSA and adult sexual risk behavior was small (as indicated by effect sizes). This is not unexpected because there are many biopsychosocial variables that may influence sexual behavior. For many participants, decades had passed between their sexual abuse and current sexual risk behavior. The largest effect sizes were observed for the number of lifetime partners, which is a cumulative measure of sexual risk across the lifetime; smaller effect sizes were found for recent sexual risk behavior. We interpret these findings to mean that CSA may have an enduring effect on sexual risk behavior, but that clinicians working with women with a history of CSA and current sexual risk behavior may need to address additional antecedents of sexual risk in order to facilitate behavior change.
Second, we did not find support for the additive model of CM effects. Although the count of different types of CM was associated with more lifetime partners, the association was no longer significant after controlling for the effect of CSA. In our data, CSA was confounded with the number of other types of CM reported, with those not experiencing CSA reporting an average of 1.4 other types of CM, and those experiencing CSA reporting an average of 2.0 other types of CM. Thus, previous researchers may have found an additive effect of CM on adult sexual risk behavior because the number of types of CM were confounded with CSA.
The third major finding to emerge from this study was that different types of CM experiences did not interact as hypothesized. Indeed, there were few significant interactions. Contrary to expectation, CSA did not interact with other types of CM to result in increased sexual risk behavior. Rather, CSA by itself uniquely predicted sexual risk behavior. This finding is consistent with the traumagenic dynamics framework (Finkelhor & Browne, 1985), and with the differential effects model of CM; however, it is inconsistent with a model of interactive effects. Thus, we found no support for the additive model or for the interactive model of the effects of CM on adult sexual risk behavior. Rather, in this sample it appeared that most of the association between CM and adult sexual risk behavior was driven by CSA.
Strengths of this study include the large and diverse sample of women and the use of an ACASI survey, which increases rates of reporting of sensitive behaviors (Des Jarlais, Paone, Milliken, & Turner, 1999; Metzger, et al., 2000). Six limitations should be noted. First, given the length of time that elapsed between childhood experience and participation in the study, as well as the very sensitive nature of the questions we asked, recall and response biases may have influenced the findings. Second, because of the correlational nature of this study, causal inferences regarding CSA and adult sexual risk behavior are not warranted. Other variables (e.g., family functioning) may influence both CSA and adult sexual behavior. Third, there is no consensus on the definition of CSA or the other CM variables (Haugaard, 2000). The definitions we used may mis-estimate the relations between CM and adult sexual risk behavior; also, the pattern of findings observed here may be due, in part, to the way CM was measured. CSA was measured more completely than the other types of CM, which may have led to differential reporting of CSA relative to other types of maltreatment. Fourth, some findings might reflect Type I error, necessitating replication. Fifth, we did not control for the severity of abuse, which may influence sexual risk behavior outcomes. We classified participants who reported even occasional experiences of physical abuse, psychological abuse, or neglect as maltreated (consistent with any experience of CSA being classified as sexual abuse). Therefore, participants with milder experiences of abuse were included in the maltreatment categories, and this may have obscured a relation between more serious experiences of maltreatment and adult sexual risk behavior. Previous studies have found that more severe sexual abuse was associated with greater sexual risk behavior (Senn, Carey, Vanable, Coury-Doniger, & Urban, 2007). Sixth, the study was conducted with women at an STD clinic who had sexual intercourse in the past 3 months. Participants reported high rates of sexual risk behavior, and the sample was predominantly low-income and African American. Thus, results may not generalize to other populations of women.
Clinicians who work with women who were sexually abused should be aware that these women may be engaging in sexual behavior that puts them at risk for contracting STDs and HIV. Clinicians should be prepared to discuss current sexual behavior, and should help women better protect themselves from STDs and HIV. Clinicians who work in public clinics with women who are engaging in sexual risk behavior should screen for CSA. Clinicians in these settings may be concerned that women may become upset if asked CSA-related questions. We found that women were usually willing to respond to questions about their childhood experiences. We prepared women for these questions, assured them that their responses were confidential, and encouraged them to decline to answer any uncomfortable questions. No adverse events occurred during this research. Clinicians should be prepared to refer women who report CSA experiences for additional treatment, if indicated; in our experience, women were receptive to these referrals.
Research is needed to determine whether sexual risk behavior among women experiencing CSA is best addressed through typical sexual risk reduction interventions, or by addressing the CSA and its psychological sequelae, or a combination of both approaches. Continued development and refinement of empirically-validated interventions to reduce sexual risk behavior among women who have been sexually abused are needed.
Acknowledgments
Funding: This research was supported by the National Institutes of Health [grant number R21-MH083502].
References
- Arata CM, Langhinrichsen-Rohling J, Bowers D, O’Brien N. Differential correlates of multi-type maltreatment among urban youth. Child Abuse and Neglect. 2007;31:393–415. doi: 10.1016/j.chiabu.2006.09.006. [DOI] [PubMed] [Google Scholar]
- Bensley LS, Eenwyk JV, Simmons KW. Self-reported childhood sexual and physical abuse and adult HIV-risk behaviors and heavy drinking. American Journal of Preventative Medicine. 2000;18:151–158. doi: 10.1016/s0749-3797(99)00084-7. [DOI] [PubMed] [Google Scholar]
- Briere J. Controlling for family variables in abuse effects research: A critique of the “partialling” approach. Journal of Interpersonal Violence. 1988;3:80–89. [Google Scholar]
- Briere J. Methodological issues in the study of sexual abuse effects. Journal of Consulting and Clinical Psychology. 1992;60:196–203. doi: 10.1037//0022-006x.60.2.196. [DOI] [PubMed] [Google Scholar]
- Briere J. Treating adult survivors of severe childhood abuse and neglect: Further development of an integrative model. In: Myers JEB, Berliner L, Briere J, Hendrix CT, Jenny C, Reid TA, editors. The APSAC handbook on child maltreatment. 2. Thousand Oaks, CA: Sage Publications; 2002. pp. 175–203. [Google Scholar]
- Carey MP, Braaten LS, Maisto SA, Gleason JR, Forsyth AD, Durant LE, et al. Using information, motivational enhancement, and skills training to reduce the risk of HIV infection for low income urban women: A second randomized clinical trial. Health Psychology. 2000;19:3–11. doi: 10.1037//0278-6133.19.1.3. [DOI] [PubMed] [Google Scholar]
- Carey MP, Vanable PA, Senn TE, Coury-Doniger P, Urban MA. Evaluating a two-step approach to sexual risk reduction in a publicly-funded STI clinic: Rationale, design, and baseline data from the Health Improvement Project-Rochester (HIP-R) Contemporary Clinical Trials. 2008;29:569–586. doi: 10.1016/j.cct.2008.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cassidy J. Adult romantic attachments: A developmental perspective on individual differences. Review of General Psychology. 2000;4:111–131. [Google Scholar]
- Cicchetti D, Toth SL. Child Maltreatment. Annual Review of Clinical Psychology. 2005;1:409–438. doi: 10.1146/annurev.clinpsy.1.102803.144029. [DOI] [PubMed] [Google Scholar]
- Cyr C, Euser EM, Bakermans-Kranenburg MJ, Van Ijzendoorn MH. Attachment security and disorganization in maltreating and high-risk families: A series of meta-analyses. Development and Psychopathology. 2010;22:87–108. doi: 10.1017/S0954579409990289. [DOI] [PubMed] [Google Scholar]
- Davis JL, Petretic-Jackson PA. The impact of child sexual abuse on adult interpersonal functioning: A review and synthesis of the empirical literature. Aggression and Violent Behavior. 2000;5:291–328. [Google Scholar]
- Des Jarlais DC, Paone D, Milliken J, Turner CF. Audio-computer interviewing to measure risk behaviour for HIV among injecting drug users: A quasi-randomised trial. The Lancet. 1999;353:1657–1661. doi: 10.1016/s0140-6736(98)07026-3. [DOI] [PubMed] [Google Scholar]
- Dube SR, Felitti VJ, Dong M, Giles WH, Anda RF. The impact of adverse childhood experiences on health problems: Evidence from four birth cohorts dating back to 1990. Preventive Medicine. 2003;37:268–277. doi: 10.1016/s0091-7435(03)00123-3. [DOI] [PubMed] [Google Scholar]
- Edwards VJ, Holden GW, Felitti VJ, Anda RF. Relationship between multiple forms of childhood maltreatment and adult mental health in community respondents: Results from the adverse childhood experiences study. American Journal of Psychiatry. 2003;160:1453–1460. doi: 10.1176/appi.ajp.160.8.1453. [DOI] [PubMed] [Google Scholar]
- El-Bassel N, Simoni JM, Cooper DK, Gilbert L, Schilling RF. Sex trading and psychological distress among women on methodone. Psychology of Addictive Behaviors. 2001;15:177–184. [PubMed] [Google Scholar]
- Feiring C, Simon VA, Cleland CM. Childhood sexual abuse, stigmatization, internalizing symptoms, and the development of sexual difficulties and dating aggression. Journal of Consulting and Clinical Psychology. 2009;77:127–137. doi: 10.1037/a0013475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Finkelhor D. Sexually Victimized Children. New York: The Free Press; 1979. [Google Scholar]
- Finkelhor D, Browne A. The traumatic impact of child sexual abuse: A conceptualization. American Journal of Orthopsychiatry. 1985;55:530–541. doi: 10.1111/j.1939-0025.1985.tb02703.x. [DOI] [PubMed] [Google Scholar]
- Finkelhor D, Ormrod RK, Turner HA. Polyvictimization and trauma in a national longitudinal cohort. Development and Psychopathology. 2007;19:149–166. doi: 10.1017/S0954579407070083. [DOI] [PubMed] [Google Scholar]
- Forsyth AD, Carey MP, Fuqua RW. Evaluation of the validity of the Condom Use Self-efficacy Scale (CUSES) in young men using two behavioral stimulations. Health Psychology. 1997;16:175–178. doi: 10.1037//0278-6133.16.2.175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fraley RC, Shaver PR. Adult romantic attachment: Theoretical developments, emerging controversies, and unanswered questions. Review of General Psychology. 2000;4:132–154. [Google Scholar]
- Hahm HC, Lee Y, Ozonoff A, Van Wert MJ. The impact of multiple types of child maltreatment on subsequent risk behaviors among women during the transition from adolescence to young adulthood. Journal of Youth Adolescence. 2010;39:528–540. doi: 10.1007/s10964-009-9490-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haugaard JJ. The challenge of defining child sexual abuse. American Psychologist. 2000;55:1036–1039. [PubMed] [Google Scholar]
- Higgins DJ, McCabe MP. Multi-type maltreatment and long-term adjustment of adults. Child Abuse Review. 2000;9:6–18. [Google Scholar]
- Higgins DJ, McCabe MP. The development of the Comprehensive Child Maltreatment Scale. Journal of Family Studies. 2001a;7:7–28. [Google Scholar]
- Higgins DJ, McCabe MP. Multiple forms of child abuse and neglect: Adult retrospective reports. Aggression and Violent Behavior. 2001b;6:547–578. [Google Scholar]
- Hobfoll SE, Bansal A, Schurg R, Young S, Pierce CA, Hobfoll I. The impact of perceived child physical and sexual abuse history on Native American women’s psychological well-being and AIDS risk. Journal of Consulting and Clinical Psychology. 2002;70:252–257. doi: 10.1037//0022-006x.70.1.252. [DOI] [PubMed] [Google Scholar]
- Hussey JM, Chang JJ, Kotch JB. Child maltreatment in the United States: Prevalence, risk factors, and adolescent health consequences. Pediatrics. 2006;118:933–942. doi: 10.1542/peds.2005-2452. [DOI] [PubMed] [Google Scholar]
- Kendall-Tackett KA, Williams LM, Finkelhor D. Impact of sexual abuse on children: A review and synthesis of recent empirical studies. Psychological Bulletin. 1993;113:164–180. doi: 10.1037/0033-2909.113.1.164. [DOI] [PubMed] [Google Scholar]
- Lash TL, Mor V, Wieland D, Ferrucci L, Satariano W, Silliman RA. Methodology, design, and analytic techniques to address measurement of comorbid disease. Journals of Gerontology. 2007;62:281–285. doi: 10.1093/gerona/62.3.281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Littleton H, Breitkopf CR, Berenson AB. Sexual and physical abuse history and adult sexual risk behaviors: Relationships among women and potential mediators. Child Abuse and Neglect. 2007;31:757–768. doi: 10.1016/j.chiabu.2006.12.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luster T, Small SA. Sexual abuse history and number of sex partners among female adolescents. Family Planning Perspectives. 1997;29:204–211. [PubMed] [Google Scholar]
- Lynch M, Cicchetti D. An ecological-transactional analysis of children and contexts: The longitudinal interplay among child maltreatment, community violence, and children’s symptomatology. Development and Psychopathology. 1998;10:235–257. doi: 10.1017/s095457949800159x. [DOI] [PubMed] [Google Scholar]
- Metzger DS, Koblin B, Turner C, Navaline H, Valenti F, Holte S, et al. Randomized controlled trial of audio computer-assisted self-interviewing: Utility and acceptability in longitudinal studies. American Journal of Epidemiology. 2000;152:99–106. doi: 10.1093/aje/152.2.99. [DOI] [PubMed] [Google Scholar]
- Mullings JL, Marquart JW, Brewer VE. Assessing the relationship between child sexual abuse and marginal living conditions on HIV/AIDS related risk behavior among women prisoners. Child Abuse & Neglect. 2000;24:677–688. doi: 10.1016/s0145-2134(00)00127-7. [DOI] [PubMed] [Google Scholar]
- Newcomb MD, Locke TF, Goodyear RK. Childhood experiences and psychosocial influences on HIV risk among adolescent Latinas in southern California. Cultural Diversity and Ethnic Minority Psychology. 2003;9:219–235. doi: 10.1037/1099-9809.9.3.219. [DOI] [PubMed] [Google Scholar]
- NIMH Multisite Prevention Trial Group. A test of factors mediating the relationship between unwanted sexual activity during childhood and risky sexual practices among women enrolled in the NIMH Multisite HIV Prevention Trial. Women’s Work. 2001;33:163–180. doi: 10.1300/j013v33n01_10. [DOI] [PubMed] [Google Scholar]
- Rodgers CS, Lang AJ, Laffaye C, Satz LE, Dresselhaus TR, Stein MB. The impact of individual forms of childhood maltreatment on health behavior. Child Abuse and Neglect. 2004;28:575–586. doi: 10.1016/j.chiabu.2004.01.002. [DOI] [PubMed] [Google Scholar]
- Saunders BE. Understanding children exposed to violence: Toward an integration of overlapping fields. Journal of Interpersonal Violence. 2003;18:356–376. [Google Scholar]
- Schroder KEE, Carey MP, Vanable PA. Methodological challenges in research on sexual risk behavior: I. Item content, scaling, and data analytical options. Annals of Behavioral Medicine. 2003;26:76–103. doi: 10.1207/s15324796abm2602_02. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Senn TE, Carey MP, Vanable PA. Childhood and adolescent sexual abuse and subsequent sexual risk behavior: Evidence from controlled studies, methodological critique, and suggestions for research. Clinical Psychology Review. 2008;28:711–735. doi: 10.1016/j.cpr.2007.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Senn TE, Carey MP, Vanable PA, Coury-Doniger P, Urban MA. Childhood sexual abuse and sexual risk behavior among men and women attending a sexually transmitted disease clinic. Journal of Consulting and Clinical Psychology. 2006;74:720–731. doi: 10.1037/0022-006X.74.4.720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Senn TE, Carey MP, Vanable PA, Coury-Doniger P, Urban MA. Characteristics of sexual abuse in childhood and adolescence influence sexual risk behavior in adulthood. Archives of Sexual Behavior. 2007;36:637–645. doi: 10.1007/s10508-006-9109-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Simmons RL, Whitbeck LB. Sexual abuse as a precursor to prostitution and victimization among adolescent and adult homeless women. Journal of Family Issues. 1991;12:361–379. [Google Scholar]
- Smith DK, Leve LD, Chamberlain P. Adolescent girls’ offending and health-risking sexual behavior: The predictive role of trauma. Child Maltreatment. 2006;11:346–353. doi: 10.1177/1077559506291950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stock JL, Bell MA, Boyer DK, Connell FA. Adolescent pregnancy and sexual risk-taking among sexually abused girls. Family Planning Perspectives. 1997;29:200–203. 227. [PubMed] [Google Scholar]
- Weinhardt LS, Forsyth AD, Carey MP, Jaworski BC, Durant LE. Reliability and validity of self-report measures of HIV-related sexual behavior: Progress since 1990 and recommendations for research and practice. Archives of Sexual Behavior. 1998;27:155–180. doi: 10.1023/a:1018682530519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilson HW, Widom CS. An examination of risky sexual behavior and HIV in victims of child abuse and neglect: A 30-year follow-up. Health Psychology. 2008;27:149–158. doi: 10.1037/0278-6133.27.2.149. [DOI] [PubMed] [Google Scholar]
- Zayas LH, Perez MC. Capacity-to-consent in psychiatric research: Development and preliminary testing of a screening tool. Research on Social Work Practice. 2005;15:545–556. [Google Scholar]