Abstract
Introduction:
Child sexual abuse (CSA) is a pervasive problem that has been linked to numerous developmental, social, health, and substance use consequences. Nevertheless, the relationship between CSA and the consumption of psychoactive substances has not been adequately studied in Mexico. The present study aims to examine this association between history of CSA and illicit substance use and associated risk behaviors in a sample of young adult women in Mexico City.
Design and Methods:
The present study uses a cross-sectional design to examine sexual abuse history among women who use illicit substances. Data collection consisted of a questionnaire administered through face-to-face interviews with 101 women who sought treatment for substance use in Mexico City. A bivariate analysis was used to examine women who experienced sexual abuse and those who did not. Odds ratio and relative risk were estimated.
Results:
A total of 101 women were interviewed with an average age of 19.2 years. The average age of onset of drug use was 15.4 years. Among participants, 68% reported having been victims of sexual abuse and rape. The average age of reported sexual abuse was 12.2 years. Participants reported a high rate of polydrug use (32.7%), consuming more than two drugs. Sexual abuse was associated with detention by police for drugs, forced prostitution, and consumption of substances during pregnancy.
Discussion and conclusions:
This study found that sexual abuse and rape were highly associated with substance abuse outcomes and associated risk behaviors.
Keywords: Child sexual abuse, consume illicit substances, risk behaviors, substances use
Introduction
Child sexual abuse (CSA) is an important and pervasive problem that has been linked to numerous social, health, and developmental consequences for victims. For instance, CSA has been found to impact on the neurocognitive and brain development of children and adolescents, putting stress on susceptible regions of the brain throughout development (Anda et al., 2006; Andersen et al., 2008; Navalta, Polcari, Webster, Boghossian, & Teicher, 2006; Trickett, Noll, Susman, Shenk, & Putnam, 2010). While research has identified differences in outcomes based on severity, age at abuse, and relationship to the perpetrator (Cantón-Cortés & Rosario Cortés, 2015; Díaz-Negrete, Gutiérrez-López, Fernández-Cáceres, & Sánchez-Huesca, 2015; McLean & Gallop, 2003; O’Leary, et al, 2010; Pérez Del Río & Mestre Guardiola, 2013; Schoedl et al., 2010), CSA overall has been documented as a significant predictor of deterioration in mental health during adolescence and adulthood (Cantón-Cortés & Rosario Cortés, 2015; Chen et al., 2010; Echeburúa & Corral, 2006; Evrim, 2009; Hillberg, Hamilton-Giachritsis, & Dixon, 2011; Ramos-Lira, Saldívar-Hernández, Medina-Mora, Rojas-Guiot, & Villatoro-Velázquez, 1998). For instance, CSA is associated with an increased risk of anxiety and depression (Fergusson, McLeod, & Horwood, 2013; Maniglio, 2010), self-harm (Noll, Horowitz, Bonanno, Trickett, & Putnam, 2003), suicidal ideation (Chen et al., 2010; Fergusson et al., 2013), posttraumatic stress disorder (PTSD) (Chen et al., 2010; McLean & Gallop, 2003; Schoedl et al., 2010), borderline personality disorder (Ball & Links, 2009; Bandelow et al., 2005; McLean & Gallop, 2003), eating disorders (Smolak & Murnen, 2002; Wilson, 2010), and sleep disorders (Chen et al., 2010; Noll et al., 2006).
Similarly, epidemiological studies have found an increased risk of an array of physical health concerns and risky behaviors among women with a history of CSA, including obesity (Noll, Zeller, Trickett, & Putnam, 2007; Wilson, 2010), autoimmune disorders (Wilson, 2010), unplanned pregnancy (Trickett, Noll, & Putnam, 2011), and sexually transmitted infections (Mosack et al., 2010; Schacht et al., 2010; Springer, Sheridan, Kuo, & Carnes, 2003). A meta-analysis conducted by Irish, Kobayashi, and Delahanty (2010) found that a history of CSA was systematically associated with adverse outcomes in all physical health areas tested, including gastrointestinal, gynecologic, chronic pain, cardiopulmonary, and obesity. Moreover, research has documented the heightened rates of risky sexual behaviors and associated health conditions in adolescence and young adulthood among women who have experienced CSA (Mosack et al., 2010; Schacht et al., 2010; Springer et al., 2003; Trickett et al., 2011).
CSA has also been identified as a risk factor for substance abuse and dependence. Results of a systematic review, for example, found that adolescent and adult women with a history of CSA were twice as likely to develop later substance abuse problems (Simpson & Miller, 2002). Sartor et al. (2013) found that, after controlling for genetics and family influences, CSA was a distinct risk factor for tobacco and marijuana use in adolescent girls. Similarly, adolescent girls with a history of CSA have also been found to have increased rates of polydrug use compared to those who have not been abused (Shin, Hong, & Hazen, 2010). In a multisite study across the United States, CSA was found to be associated with an earlier initiation of injection drug use among young adult women (Ompad et al., 2005). On the other hand, Kingston and Raghavan (2009) found that CSA was not associated with an earlier age of drug use initiation in adolescents, but further victimization after CSA was associated. Thus, the relationship between CSA and the consumption of psychoactive substances has not been fully understood and requires more research, particularly in distinct risk environments and communities (Pérez Del Róo & Mestre Guardiola, 2013; Rodríguez et al., 2015).
While the impact of childhood sexual abuse is well documented (Chen et al., 2010; Evrim, 2009; Trickett et al., 2011; Wilson, 2010), CSA has been particularly understudied in Mexico (Pérez Del Río & Mestre Guardiola, 2013; Rodríguez et al., 2015). In 2009, the Organization for Economic Cooperation and Development (OCDE, 2013) and the United Nations Children’s Emergency Fund (UNICEF) ranked Mexico first in physical violence, sexual abuse, and homicides of minors 14 years old, which were mainly committed by their parents (UNICEF, 2014). High rates of CSA were recorded in Mexico with 77% of the victims being girls with an average age of 5.7 years and in almost all cases the victim knew the offender: the brother (19%), the stepfather (18%), an uncle (16%), and the father (15%) Dirección General de Prevención del Delito y Participación Ciudadana. (2010). Comparatively, in the United States, approximately 1 in every 10 children has experienced sexual victimization and approximately 15–32% of women reported having been sexually abused in childhood (Pulido et al., 2015). The data on sexual abuse in Mexico are scarce. The currently available data do not reflect the social reality of many victims, and it has not been fully incorporated in research and public policy discourse (Frías & Erviti, 2014). A recent global metaanalysis, for example, found a single study examining sexual abuse from Mexico (Stoltenborgh, Van Ijzendoorn, Euser, & Bakermans-Kranenburg, 2011). Further, the existing epidemiological data of CSA in Mexico are believed to be underreported due to cultural norms that often silence and stigmatize issues related to sex and sexuality (Stoltenborgh et al., 2011). To fill these gaps in the literature, the current work aims to examine the association between history of CSA and illicit substance use and associated risk behaviors in a sample of women in treatment in Mexico City.
Methods
Participants
The present study uses a cross-sectional design to examine sexual abuse history among women who use illicit substances. Participants were recruited from 11 public nongovernmental substance abuse treatment facilities exclusively for women in Mexico City. All women (n = 160) were provided the opportunity to participate in the study and enrolled in the study only after providing informed consent. A total sample of 101 women agreed to participate. Data were collected through questionnaires administered in face-to-face interviews by trained personnel.
Measures
Data were collected through a 57-item questionnaire, which consisted of four sections:
Socioeconomic demographics, such as age, income, marital status, place of residence, medical insurance status, employment, and education.
Patterns of substance use, including marijuana, cocaine, crack, inhalants, tranquilizers, and amphetamines. Selfreported lifetime, past year, and past month use was measured for each drug.
Sexual risk, including a history of sexual abuse or rape, prostitution, onset of being sexually active, consensual sexual intercourse, condom use with primary partner, condom use with casual partner, condom use with a partner who paid them, and condom use with partner with whom she paid.
Use of illicit drugs during pregnancy.
- Main variables:
- Sexual abuse: forcing a person to engage in sexual acts without her consent that may include sexual coercion, undue touching, sexual harassment, and child abuse (World Health Organization, 2012).
- Rape: sexual intercourse, or other forms of sexual penetration, committed by a perpetrator against a victim without her consent (World Health Organization, 2012).
Analysis of data
A descriptive bivariate analysis was performed to examine the sociodemographic differences among women with a history of CSA compared to women with no such history. T-tests and chi-square (χ2) tests were utilized to compare these groups. Additionally, an ANOVA test was conducted to compare women who have been sexually abused, those who reported being raped, and those who have experienced both. Multivariate models estimated the odds ratio (OR) and relative risk (RR) of each variable. All analyses were conducted in IBM SPSS version 20 software.
Results
Among the sample of 101 participants, the average age was 19.24 (SD = 4.96). Most participants had a basic primary and secondary level education (84.1%), but only 5.9% completed high school. The average age of the onset of drug use was 15.43 years (SD ± 0.98%) with 32.7% reporting polydrug use in the last month. Almost all women (98.0%) were sexually active with an onset at 14.9 years of age on average. The demographic characteristics of the study sample are summarized in Table 1.
Table 1.
Demographic characteristics of sample (n = 101).
| Characteristics | n | Average | aS.D. ± | Range |
|---|---|---|---|---|
| Age | 101 | 19.24 | 4.96 | (13–43) |
| School (years) | 101 | 7.86 | 1.40 | (6–16) |
| Average age of drug use | 101 | 15.43 | 0.98 | (7–43) |
| Age of crack intake | 54 | 15.78 | 3.54 | (8–26) |
| Age of marijuana consumption | 89 | 16.60 | 3.84 | (8–23) |
| Age of onset of inhalation | 99 | 14.20 | 2.63 | (7–43) |
| Age of onset of cocaine | 48 | 14.27 | 4.32 | (7–41) |
| Age of onset of amphetamines | 30 | 15.71 | 4.90 | (12–31) |
| Age of onset of tranquilizers | 38 | 16.03 | 5.34 | (8–42) |
| Number of drugs used in last year | 101 | 3.03 | 1.40 | (1−6) |
| Number of drugs used in last month | 101 | 2.02 | 1.17 | (0–6) |
| Age of onset of sexual activity | 99 | 14.09 | 2.50 | (10–24) |
| Age of sexual abuse (rape) | 60 | 12.20 | 5.04 | (3–24) |
| Number of sexual couples | 101 | 3.36 | 3.71 | (0–18) |
| Occasional couples | 101 | 6.49 | 7.17 | (0–28) |
| Couples who paid you | 101 | 0.42 | 1.08 | (0–60) |
| Couples to whom you paid | 101 | 4.45 | 8.00 | (0–9) |
| Average number of couples | 101 | 4.45 | 3.20 | (0–60) |
S.D. standard deviation
Figure 1 shows that 69 participants (68.3%) reported having been victims of sexual abuse and rape and 32 participants (31.7%) did not report any CSA. Among the sample of women with histories of CSA, 61% reported the abuse before initiation of drug use, with the remaining 39% indicating drug use before experiences of sexual abuse or rape. More specifically, a total of 60 women (59.4%) reported having been raped at an average 12.2 years of age, with only 10.9% of these women being 18 years or older at the time of the abuse. Results indicated significant differences among female drug users who suffered abuse and rape versus women who did not report any CSA [t = 6.81, gl = 1, p < 0.000)].
Figure 1.
Sample of participants who reported having been victims of sexual abuse and rape. The sample of participants (68%) reported being victims of sexual abuse and rape, and 32 (32%) who did not. The analysis indicates significant differences among users who suffered abuse and rape.
Table 2 presents the prevalence of sociodemographics in relation to abuse and rape. As illustrated, the population has scarce economic resources with 45.5% obtaining income from third parties and 44.6% reporting no employment. In addition, 12.9% reported having an informal job, although 44.6% benefits from some type of health insurance with 27.7% reporting use of public subsidized medical insurance seguro popular. Additionally, 36.6% live at the home of their parents or partner.
Table 2.
Prevalence of sociodemographic and consumption of substance drugs variables in relation to abuse, rape, and both. The substance use: 68.32% of the participants reported substance use in their lifetime, 64.36% in the last year, and 40.59% in the last month. As can be seen, most of the participants presented polydrug use.
| Rape |
Sexual abuse |
Both |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | Prevalence | CI 95% | n | Prevalence | CI 95% | n | Prevalence | CI 95% | ||
| Age | 18 years old or less | 32 | 31.68 | (22.61–40.76) | 29 | 28.71 | (19.89–37.54) | 39 | 38.61 | (29.12–48.11) |
| Over 18 years old | 28 | 27.72 | (18.99–36.45) | 21 | 20.79 | (12.88–28.71) | 30 | 29.70 | (20.79–38.61) | |
| Marital status | Married/ civil Union | 13 | 12.87 | (6.34–19.40) | 12 | 11.88 | (5.57–18.19) | 15 | 14.85 | (7.92–21.79) |
| Single | 46 | 45.54 | (35.83–55.26) | 38 | 37.62 | (28.18–47.07) | 53 | 52.48 | (42.74 −62.21) | |
| Subsidized medical care | No | 22 | 21.78 | (13.73 −29.83) | 16 | 15.84 | (8.72–22.93) | 24 | 23.76 | (15.46–32.06) |
| Yes | 38 | 37.62 | (28.18–47.07) | 34 | 33.66 | (24.45–42.88) | 45 | 44.55 | (34.86–54.25) | |
| Type of medical care | IMSS | 14 | 13.86 | (7.12–20.60) | 8 | 7.92 | (2.65–13.19) | 14 | 13.86 | (7.12–20.60) |
| ISSSTE | 1 | 0.99 | (−0.94–2.92) | 2 | 1.98 | (−0.74–4.70) | 2 | 1.98 | (−0.74–4.70) | |
| Seguro popular | 22 | 21.78 | (13.73–29.83) | 23 | 22.77 | (14.59–30.95) | 28 | 27.72 | (18.99–36.45) | |
| Private | 1 | 0.99 | (−0.94–2.92) | 1 | 0.99 | (−0.94–2.92) | 1 | 0.99 | (−0.94–2.92) | |
| Does not count | 22 | 21.78 | (13.73–29.83 | 16 | 15.84 | (8.72–22.96) | 24 | 23.76 | (15.46–32.06) | |
| Job | No | 40 | 39.60 | (30.07–49.14) | 32 | 31.68 | (22.61–40.76) | 45 | 44.55 | (34.86–54.25) |
| Yes | 20 | 19.80 | (12.03–27.57) | 18 | 17.82 | (10.36–25.29) | 24 | 23.76 | (15.46–32.06) | |
| Job type | Formal Job | 3 | 2.97 | (−0.34–6.28) | 4 | 3.96 | (0.16–7.76) | 3 | 2.97 | (−0.34–6.28) |
| Informal Job | 17 | 16.83 | (9.53–24.13) | 14 | 13.86 | (7.12–20.60) | 13 | 12.87 | (6.34–19.40) | |
| Economic income by third parties | No | 17 | 16.83 | (9.53–24.13) | 20 | 19.80 | (12.03–27.57) | 23 | 22.77 | (14.59–30.95) |
| Yes | 43 | 42.57 | (32.93–52.22) | 30 | 29.70 | (20.79–38.61) | 46 | 45.54 | (35.83–55.26) | |
| Income from illicit activities | No | 52 | 51.49 | (41.74 −61.23) | 41 | 40.59 | (31.02–50.17) | 57 | 56.44 | (46.77–66.11) |
| Yes | 8 | 7.92 | (2.65–13.19) | 9 | 8.91 | (3.35–14.47) | 12 | 11.88 | (5.57–18.19) | |
| Education | No education/incompleted | 6 | 5.94 | (1.33–10.55) | 5 | 4.95 | (0.72–9.18) | 6 | 5.94 | (1.33–10.55) |
| Elementary school | 26 | 25.74 | (17.22–34.27) | 19 | 18.81 | (11.19–26.43) | 28 | 27.72 | (18.99–36.45) | |
| Middle school | 23 | 22.77 | (14.59–30.95) | 23 | 22.77 | (14.59–30.95) | 30 | 29.70 | (20.79–38.61) | |
| High School | 4 | 3.96 | (0.16–7.76) | 2 | 1.98 | (−0.74–4.70) | 4 | 3.96 | (0.16–7.76) | |
| Post-secondary education | 1 | 0.99 | (−0.94–2.92) | 1 | 0.99 | (−0.94–2.92) | 1 | 0.99 | (−0.94–2.92) | |
| Where do you live | House or independent apartment | 8 | 7.92 | (2.65–13.19) | 10 | 9.90 | (4.08–15.73) | 11 | 10.89 | (4.82–16.97) |
| Parent or couple home | 33 | 32.67 | (23.53–41.82) | 25 | 24.75 | (16.34–33.17) | 37 | 36.63 | (27.24–46.03) | |
| Shelter or prison | 11 | 10.89 | (4.82–16.97) | 9 | 8.91 | (3.35–14.47) | 11 | 10.89 | (4.82–16.97) | |
| Street | 8 | 7.92 | (2.65–13.19) | 6 | 5.94 | (1.33–10.55) | 10 | 9.90 | (4.08–15.73) | |
| Consumption of illicit substances at some time in life | No | 0 | 0.00 | (0.00–0.00) | 0 | 0.00 | (0.00–0.00) | 0 | 0.00 | (0.00–0.00) |
| Yes | 60 | 59.41 | (50.45–69.55) | 50 | 49.50 | (40.25–59.75) | 69 | 68.32 | (59.98–78.02) | |
| Consumption of illicit substances in the last year | No | 3 | 2.97 | (−0.34–6.28) | 3 | 2.97 | (−0.34–6.28) | 4 | 3.96 | (0.16–7.76) |
| Yes | 57 | 56.44 | (46.77–66.11) | 47 | 46.53 | (36.81 −56.26) | 65 | 64.36 | (55.02–73.70) | |
In relation to the use of substances among women who experienced CSA, 68.3% reported consumption of illicit substances sometime in their lifetime, 64.4% in the last year, and 40.6% in the last month. High rates of polydrug use, which is a consumption of two or more drugs, were also observed. Those who did not present polydrug use at the initiation of drug use were 64.4%. Of those who reported polydrug use, 62.4% used more than two illicit substances in the last year and 47.5% in the last month.
For women with a history of sexual abuse whose main partners were stable, 64.4% used condoms as a method of protection. Likewise, 56.4% of participants with occasional partners also used condoms. Moreover, 28.7% of the women reported a pregnancy during which they did consume illicit substances.
Table 3 presents the main variables associated with sexual abuse and rape. Women with a history of sexual abuse were significantly more likely to access and receive public subsidized medical benefits (seguro popular) (χ2 [1] = 4.147 P = 0.042). Abused women were also more likely to receive financial support from their social networks (χ2 [1] = 11.10 P = 0.001). Women who experienced sexual abuse and rape reported significant rates of use of condoms with partners who paid for sex (χ2 [1] = 14.418 P = 0.000; OR = 0.185, 95% CI = 0.075–0.457). In contrast, for those women reporting paying for sex, condom use was less frequently used (χ2 [1] = 5.417 P = 0.020; OR = 0.268, 95% CI = 0.84–0.853).
Table 3.
Main variables associated with sexual abuse and rape: detained by the police for consumption of drugs, forced into prostitution, and consumed drugs while pregnant.
| Victim of abuse sexual and rape sexual |
|||||||||
|---|---|---|---|---|---|---|---|---|---|
| Yes % | No % | % Total | Chi-square | OR | CI 95% | RR | CI 95% | ||
| Age | Under 18 years old | 38.61 | 18.81 | 57.42 | χ2 (1) = 0.073 P = 0.787 |
0.889 | (0.380–2.083) | 0.964 | (0.738–1.258) |
| Over 18 years old | 29.7 | 12.87 | 42.57 | - | - | - | - | - | |
| Marital status | Married/Civil Union | 15.00 | 9.00 | 24.00 | χ2 (1) = 0.439 P = 0.508 |
0.723 | (0.277–1.890) | 0.896 | (0.636–1.264) |
| Single | 53.00 | 23.00 | 76.00 | - | - | - | - | ||
| Subsidized Medical Care | No | 23.76 | 17.82 | 41.58 | χ2 (1) = 4.147 P = 0.042 |
0.415* | (0.176–0.977) | 0.749 | (0.556–1.009) |
| Yes | 44.55 | 13.86 | 58.41 | - | - | - | |||
| Employed | No | 44.55 | 15.84 | 60.40 | χ2 (1) = 2.116 P = 0.146 |
1.875 | (0.800–4.395) | 1.230 | (0.916–1.650) |
| Yes | 23.76 | 15.84 | 39.60 | - | - | - | - | - | |
| Job type | Informal Job | 18.81 | 12.87 | 31.68 | χ2 (1) = 0.026 P = 0.872 |
0.887 | (0.178–4.325) | 0.950 | (0.917–1.746) |
| Formal Job | 4.95 | 2.97 | 7.92 | - | - | - | |||
| Financial Support from Social Network | No | 22.77 | 21.78 | 44.55 | χ2 (1) = 11.10 P = 0.001 |
4.400* | (1.790–10.818) | 0.622 | (0.456–0.849) |
| <bold>Yes</bold> | 45.54 | 9.9 | 55.44 | - | - | - | - | ||
| Income from illicit activities | No | 56.44 | 28.71 | 85.15 | χ2 (1) = 1.111 P= 0.292 |
2.035 | (0.532–7.786) | 0.828 | (0.617–1.112) |
| Yes | 11.88 | 2.97 | 14.85 | - | - | - | |||
| Education | Compulsory education (Elementary school and Middle school) | 57.43 | 26.73 | 84.16 | χ2 (1) = 0.600 P = 0.439 |
0.430 | (0.048–3.858) | 0.817 | (0.557–1.205) |
| Compulsory education (High School) | 4.95 | 0.99 | 5.94 | - | - | - | |||
| Where do you live | Hostel, street or prison | 20.79 | 4.95 | 25.74 | χ2 (1) = 2.508 P = 0.113 |
2.363 | (0.800–6.980) | 0.792 | (0.615–1.020) |
| House or apartment | 47.52 | 26.73 | 74.26 | - | - | - | - | - | |
| Consumption of illicit substances at some time in life | No | 3.96 | 1.98 | 5.94 | χ2 (1) = 0.008 P = 0.929 |
1.083 | (0.188–6.244) | 1.026 | (0.573–1.837) |
| Yes | 64.36 | 29.7 | 94.06 | - | - | - | - | - | |
| Consumption of illicit substances in the last year | No | 27.72 | 11.88 | 39.6 | χ2 (1) = 0.087 P = 0.768 |
0.879 | (0.371–2.080) | 0.960 | (0.734–1.255) |
| Yes | 40.59 | 19.8 | 60.39 | - | - | - | - | - | |
| Age of onset of crack consumption | Under 18 years old | 31.68 | 9.90 | 41.58 | χ2 (1) = 0.441 P = 0.507 |
1.600 | (0.397–6.453) | 1.143 | (0.740–1.764) |
| Over 18 years old | 7.92 | 3.96 | 11.88 | - | - | - | - | - | |
| Age of onset of marijuana use | Under 18 years old | 54.46 | 24.75 | 79.21 | χ2 (1) = 0.016 P = 0.898 |
1.100 | (0.254–4.757) | 1.031 | (0.635–1.675) |
| Over 18 years old | 5.94 | 2.97 | 8.91 | - | - | - | - | - | |
| Age of onset of inhalants consumption | Under 18 years old | 60.40 | 25.74 | 86.14 | χ2 (1) = 0.681 P = 0.409 |
1.676 | (0.487–5.768) | 1.202 | (0.731–1.977) |
| Over 18 years old | 6.93 | 4.95 | 11.88 | - | - | - | - | - | |
| Age of onset of cocaine use | Under 18 years old | 29.70 | 10.89 | 40.59 | χ2 (1) = 0.743 P = 0.389 |
2.045 | (0.393–10.637) | 1.280 | (0.657–2.497) |
| Over 18 years old | 3.96 | 2.97 | 6.93 | - | - | - | - | - | |
| Age of onset of amphetamine use | Under 18 years old | 17.82 | 4.95 | 22.77 | χ2 (1) = 0.140 P = 0.708 |
1.440 | (0.212–9.782) | 1.096 | (0.654–1.835) |
| Over 18 years old | 4.95 | 1.98 | 6.93 | - | - | - | - | - | |
| Age of onset of tranquilizers | Under 18 years old | 25.74 | 4.95 | 30.69 | χ2 (1) = 0.588 P = 0.443 |
2.080 | (0.312–13.889) | 1.174 | (0.174–1.923) |
| Over 18 years old | 4.95 | 1.98 | 6.93 | - | - | - | - | - | |
| Polydrug use at some time in life | No | 64.36 | 28.71 | 93.07 | χ2 (1) = 0.434 P = 0.510 |
0.595 | (0.125–2.830) | 0.826 | (0.429–1.592) |
| Yes (2 or more) | 3.96 | 2.97 | 6.93 | - | - | - | - | - | |
| Polydrug use last year | No | 62.38 | 26.73 | 89.11 | χ2 (1) = 1.082 P = 0.298 |
1.944 | (0.546–6.921) | 1.283 | (0.736–2.238) |
| Yes (2 or more) | 5.94 | 4.95 | 10.89 | - | - | - | - | - | |
| Polydrug use last month | No | 47.52 | 19.80 | 67.33 | χ2 (1) = 0.496 P = 0.481 |
1.371 | (0.569–3.308) | 1.109 | (0.822–1.497) |
| Yes (2 or more) | 20.79 | 11.88 | 32.67 | - | - | - | - | - | |
| Detention for consumption of illicit drugs | No | 30.69 | 22.77 | 53.46 | χ2 (1) = 6.381 P = 0.012 |
3.133* | (1.267–7.743) | 1.408 | (1.077–1.842) |
| Yes | 37.62 | 8.91 | 46.53 | - | - | - | - | - | |
| Consensual intercourse | No | 63.37 | 28.71 | 92.08 | χ2 (1) = 0.136 P = 0.712 |
1.324 | (0.296–5.917) | 0.908 | (0.522–1.580) |
| Yes | 4.95 | 2.97 | 7.92 | - | - | - | - | - | |
| Forced to prostitute herself | No | 57.43 | 31.68 | 89.11 | χ2 (1) = 5.725 P = 0.017 |
1.552** | (1.331–1.809) | 1.552** | (1.331–1.809) |
| Yes | 10.89 | 0.00 | 10.89 | - | - | - | - | - | |
| The use of condom with the main partner | No | 3.96 | 0.99 | 4.95 | χ2(1) = 0.332 P = 0.565 |
1.908 | (0.205–17.789) | 1.182 | (0.746–1.871) |
| Yes | 64.36 | 30.69 | 95.05 | - | - | - | - | - | |
| The condom use with the occasional partner | No | 11.88 | 6.93 | 18.81 | χ2(1) = 0.288 P = 0.592 |
0.752 | (0.265–2.136) | 0.909 | (0.626–1.318) |
| Yes | 56.44 | 24.75 | 81.19 | - | - | - | - | - | |
| Using a condom with the partner who paid you | No | 17.82 | 20.79 | 38.61 | χ2 (1) = 14.418 P = 0.000 |
0.185* | (0.075–0.457) | 0.561* | (0.392–0.803) |
| Yes | 50.50 | 10.89 | 61.39 | - | - | - | - | - | |
| Using a condom with the partner you paid | No | 44.55 | 27.72 | 72.28 | χ2(1) = 5.417 P = 0.020 |
0.268* | (0.084–0.853) | 0.719* | (0.568–0.910) |
| Yes | 23.76 | 3.96 | 27.72 | - | - | - | - | - | |
| Consumption of illicit drugs in pregnancy | No | 39.6 | 26.73 | 66.33 | χ2(1) = 6.825 P = 0.009 |
3.915* | (1.347–11.383) | 1.429* | (1.122–1.818) |
| Yes | 28.71 | 4.95 | 33.66 | - | - | - | - | - | |
In regard to substance use and related risk behaviors, women who experienced sexual abuse were significantly more likely to have been detained by the police for consumption of drugs (χ2 [1] = 6.381 P = 0.012) with an OR of 3.133 (95% CI = 1.267–7.743). That is, they were more than three times likely to have been detained by police for drugs than women who did not experience sexual abuse, and women who experienced sexual abuse were significantly more likely to have been forced into prostitution (χ2 [1] = 5.725 P = 0.017) with an OR of 1.552 (95%CI = 1.331–1.809). That is, they were more than 1.5 times likely to have been forced into prostitution than women who did not experience sexual abuse. In addition, abused women reported consuming illicit drugs while pregnant significantly more than women who were not sexually abused (χ2 [1] = 6.825 P < 0.01). Women with a history of sexual abuse were 3.915 times more likely to report this (95% CI = 1.347–11.383). It was found that women with a history of sexual abuse were forced into prostitution (RR = 1.552), arrested by the police for drug consumption (RR = 1.408) and who consumed drugs while pregnant (RR = 1.429).
Discussion and conclusions
Findings from this study begin to provide an epidemiological profile of women with histories of CSA in Mexico. This vulnerable population has been largely overlooked given the scarcity of research in Mexico on this issue. Results from this analysis highlight women’s susceptibility for engaging in highrisk behaviors, similar to that which has been found in the United States. For example, we find that those reporting CSA were more likely to have histories of engaging in forced prostitution. This is similar to what researchers in the United States have documented among adult survivors of CSA being reinforced and perpetuated over the life course and expressed in the form of promiscuity or prostitution (Abramovich, 2014). Future research in Mexico will need to look into other factors that contribute to forced prostitution, including labor opportunities, homelessness, and drug dependence (Gómez San Luis & Almanza Avendaño, 2012).
Expanding upon the existing knowledge related to CSA and substance use behaviors, our findings point to women in this Mexican context being more likely to be arrested for drug use and engage in illicit drug use during pregnancy. This supports existing research that documents women’s involvement in detrimental drug use patterns and risky behaviors (Simpson & Miller, 2002). One limitation is the lack of information on the type of substance and the period in which it was consumed. Data on consumption of illicit substances during pregnancy are lacking for the majority of low- and middle-income countries, according to the World Health Organization. Research indicates that cannabis is the most common illicit drug worldwide, followed by amphetamine-type stimulants and opioids, and as such, may be more likely to be used by reproductive-aged women (Forray, 2016). In contrast, the most prevalent drugs in this study were inhalants and crack.
Paradoxically, there were several unexpected findings that should be noted. Women with histories of CSA were found to utilize subsidized medical insurance services and obtain financial support from their existing social networks, in comparison to their non-CSA counterparts. These findings may be unique to the Mexico context and may point to a safety net for women who are disproportionately vulnerable to numerous health and social conditions. The above coincides with the data obtained by the Instituto Nacional de Estadistica y Geografia (2013) (National Survey of Employment and Social Security) conducted in Mexico that shows that women use the following types of health insurance in order of frequency: popular health insurance, Instituto Mexicano del Seguro Social (IMSS), unaffiliated, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), and private institution. Popular health insurance is the program that has the largest number of affiliation (Instituto Nacional de Estadistica y Geografia, 2014). In addition, women with histories of CSA reported higher rates of condom use with clients and/or those they pay for sex. These results support data obtained by the Instituto Nacional de Estadistica y Geografia (2014) (National Survey of Demographic Dynamics) carried out in Mexico, which indicate that 98.7% of women between 15 and 49 years know at least one method of birth control. Although our study method did not allow us to know this category, the majority of the participants reported having used a condom as a method of protection with their main and occasional partner.
Women with histories of CSA were found to have low socioeconomic status (Essabar, Khalqallah, & Dakhama, 2015), no formal employment but rather part of the informal economy, low levels of education, and living with parents. Findings also reveal higher rates of illicit substance use; they started using drugs at a very young age, inhalants being the substance most frequently reported. Finally, a total of 60 women reported having been raped at an average age of 12.2 years. CSA rates reported in this study were found to be higher, in particular with experiences occurring before initiation of drug use. It is possible that these characteristics increase the vulnerability of women with a history of CSA to drug use.
Within the limitations of this study, it should be noted that the sample is small which can influence the fact that no significant difference would be detected in some comparisons. In addition, the study did not have a control group (which is difficult to obtain in this type of study). This study did not include specific forms of abuse and only included general situations exclusively on physical contact (Ramos-Lira et al., 1998; Ramos-Lira, Saltijeral-Méndez, Romero-Mendoza, Caballero-Gutiérrez, & Martínez-Vélez, 2001). It is important to study the substance use, taking into account characteristics that allow for information about their specific needs to inform a comprehensive treatment program (Castillo Franco & Gutiérrez López, 2008). Research on sexual abuse in Mexico is scarce; there is no public policy of comprehensive care for women who use drugs with histories of CSA, contributing to a public health problem that has not been addressed in Mexico. In conclusion, it is evident from the results that women with a history of sexual abuse were highly associated with substance abuse and risk behaviors. CSA has also been identified as a risk factor for substance abuse.
Acknowledgement
The author are grateful to Trinidad Alcantara Mejia for the facilities provided for the realization of this research.
Funding
Interdisciplinary Research Training Institute on Hispanic Drug Abuse at the University of Southern California (USC) NIDA 2R25DA026401 and grant CENSIDA proy-2014-0314.
Footnotes
Disclosure of potential conflicts of interest
The authors have no conflict of interest.
References
- Abramovich E (2014). Childhood Sexual Abuse as a Risk Factor for Subsequent Involvement in Sex Work: A Review of Empirical Findings In Contemporary Rese arch on Sex Work (pp. 131–146). Ed: Parsons Jeffrey T.. 711 Third Avenue, New York, NY, 10017, USA, Routledge Taylor & Francis Group. [Google Scholar]
- Anda RF, Felitti VJ, Bremner JD, Walker JD, Whitfield CH, Perry BD,... Giles WH (2006). The enduring effects of abuse and related adverse experiences in childhood. A convergence of evidence from neurobiology and epidemiology. European Archives of Psychiatry and Clinical Neuroscience, 256(3), 174–186. doi: 10.1007/s00406-005-0624-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andersen SL Ph.D., Tomada A M.D., Ph.D., Vincow ES, Valente E M.A., Polcari A R.N., C.S., Ph.D., & Teicher MH M.D., Ph.D. (2008). Preliminary evidence for sensitive periods in the effect of childhood sexual abuse on regional brain development. The Journal of Neuropsychiatry and Clinical Neurosciences, 20(3), 292–301. doi: 10.1176/jnp.2008.20.3.292 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ball JS, & Links PS (2009). Borderline personality disorder and childhood trauma: Evidence for a causal relationship. Current Psychiatry Reports, 11(1), 63–68. doi: 10.1007/s11920-009-0010-4 [DOI] [PubMed] [Google Scholar]
- Bandelow B, Krause J, Wedekind D, Broocks A, Hajak G, & Rüther E (2005). Early traumatic life events, parental attitudes, family history, and birth risk factors in patients with borderline personality disorder and healthy controls. Psychiatry Research, 134(2), 169–179. doi: 10.1016/j.psychres.2003.07.008 [DOI] [PubMed] [Google Scholar]
- Cantón-Cortés D, & Rosario Cortés MR (2015). Consecuencias del abuso sexual infantil: Una revisión de las variables intervinientes. Anales De Psicología, 31(2), 552–614. doi: 10.6018/analesps.31.2.180771 [DOI] [Google Scholar]
- Chen LP, Murad MH, Paras ML, Colbenson KM, Sattler AL, Goranson EN, ... Zirakzadeh A (2010). Sexual abuse and lifetime diagnosis of psychiatric disorders: Systematic review and meta-analysis. Mayo Clinic Proceedings, 85(7), 618–629. doi: 10.4065/mcp.2009.0583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Díaz-Negrete DB, Gutiérrez-López AD, Fernández-Cáceres C, & Sánchez-Huesca R (2015). Consumo de sustancias y características sociodemográficas de solicitantes de tratamiento ambulatorio en una red de atención especializada en México; análisis comparativo entre 2007 y 2014. Revista inteRnacional De Investigación En Adicciones, 1 (1), 16–26. doi: 10.28931/riiad.2015.1.03 [DOI] [Google Scholar]
- Dirección General de Prevención del Delito y Participación Ciudadana (2010) Maltrato y abuso infantil en México: Factor de Riesgo en la Comisión de Delitos. México: SSP; Retrieved from http://odisea.org.mx/centro_informacion/derechos_ninez/estudio/Maltrato_abuso_Mx.pdf [Google Scholar]
- Echeburúa E, & Corral PD (2006). Secuelas emocionales en víctimas de abuso sexual en la infancia. Cuadernos De Medicina Forense 12 (43–44), 75–82. [Google Scholar]
- Essabar L, Khalqallah A, & Dakhama BSB (2015). Child sexual abuse: Report of 311 cases with review of literature. The Pan African Medical Journal, 20, 47. doi: 10.11604/pamj.2015.20.47.4569 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Evrim A (2009). Childhood sexual abuse. Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry, 1(2), 95–119. [Google Scholar]
- Fergusson DM, McLeod GFH, & Horwood LJ (2013). Childhood sexual abuse and adult developmental outcomes: Findings from a 30- year longitudinal study in New Zealand. Child Abuse & Neglect, 37(9), 664–674. doi: 10.1016/j.chiabu.2013.03.013 [DOI] [PubMed] [Google Scholar]
- Forray A (2016). Substance use during pregnancy. F1000Research, 5, F1000 Faculty Rev-1887. doi: 10.12688/f1000research.7645.1 [DOI] [Google Scholar]
- Franco C, Isaías P, López G, & Delia A (2008). Consumo de drogas en mujeres asistentes a centros de tratamiento especializado en la Ciudad de México. Salud Mental, 31(5), 351–359. [Google Scholar]
- Frías SM, & Erviti J (2014). Gendered experiences of sexual abuse of teenagers and children in Mexico. Child Abuse & Neglect, 38(4), 776–787. doi: 10.1016/j.chiabu.2013.12.001 [DOI] [PubMed] [Google Scholar]
- Hillberg T, Hamilton-Giachritsis C, & Dixon L (2011). Review of meta-analyses on the association between child sexual abuse and adult mental health difficulties: A systematic approach. Trauma, Violence, & Abuse, 12(1), 38–49. doi: 10.1177/1524838010386812 [DOI] [PubMed] [Google Scholar]
- Instituto Nacional de Estadística y Geografía (2014). Encuesta Nacional de la Dinámica Demográfica (ENADID 2014). Mexico: Retrieved from http://www.inegi.org.mx/est/contenidos/proyectos/encuestas/hogares/especiales/enadid/enadid2014/doc/resultados_enadid14.pdf [Google Scholar]
- Instituto Nacional de Estadistica y Geografía (2013). Encuesta Nacional de Empleo y Seguridad Social 2013. México: Retrieved from http://www.inegi.org.mx/est/contenidos/proyectos/encuestas/hogares/modulos/eness/eness2013/default.aspx [Google Scholar]
- Irish L, Kobayashi I, & Delahanty DL (2010). Long-term physical health consequences of childhood sexual abuse: A meta-analytic review. Journal of Pediatric Psychology, 35(5), 450–461. doi: 10.1093/jpepsy/jsp118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kingston S, & Raghavan C (2009). The relationship of sexual abuse, early initiation of substance use, and adolescent trauma to PTSD. Journal of Traumatic Stress, 22(1), 65–68. doi: 10.1002/jts.20381 [DOI] [PubMed] [Google Scholar]
- Luis GS, Hortensia A, Avendano A, & Manuel A (2012). Vulnerabilidad social y prostitucon: Un estudio de caso. Revista Electrónica De Psicología Iztacala, 15, 4. [Google Scholar]
- Maniglio R (2010). Child sexual abuse in the etiology of depression: A systematic review of reviews. Depression and Anxiety, 27(7), 631–642. doi: 10.1002/da.20687 [DOI] [PubMed] [Google Scholar]
- McLean LM, & Gallop R (2003). Implications of childhood sexual abuse for adult borderline personality disorder and complex posttrau- matic stress disorder. The American Journal of Psychiatry, 160(2), 369–371. doi: 10.1176/appi.ajp.160.2.369 [DOI] [PubMed] [Google Scholar]
- Mosack KE, Randolph ME, Dickson-Gomez J, Abbott M, Smith E, & Weeks MR (2010). Sexual risk-taking among high-risk urban women with and without histories of childhood sexual abuse: Mediating effects of contextual factors. Journal of Child Sexual Abuse, 19(1), 43–61. doi: 10.1080/10538710903485591 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Navalta CP, Polcari A, Webster DM, Boghossian A, & Teicher MH (2006). Effects of childhood sexual abuse on neuropsychological and cognitive function in college women. The Journal of Neuropsychiatry and Clinical Neurosciences, 18(1), 45–53. doi: 10.1176/jnp.18.1.45 [DOI] [PubMed] [Google Scholar]
- Noll JG, Horowitz LA, Bonanno GA, Trickett PK, & Putnam FW (2003). Revictimization and self-harm in females who experienced childhood sexual abuse: Results from a prospective study. Journal of Interpersonal Violence, 18(12), 1452–1471. doi: 10.1177/0886260503258035 [DOI] [PubMed] [Google Scholar]
- Noll JG, Trickett PK, Susman EJ, & Putnam FW (2006). Sleep disturbances and childhood sexual abuse. Journal of Pediatric Psychology, 31(5), 469–480. doi: 10.1093/jpepsy/jsj040 [DOI] [PubMed] [Google Scholar]
- Noll JG, Zeller MH, Trickett PK, & Putnam FW (2007). Obesity risk for female victims of childhood sexual abuse: A prospective study. Pediatrics, 120(1), e61–7. doi: 10.1542/peds.2006-3058 [DOI] [PubMed] [Google Scholar]
- O’Leary P, Coohey C, & Easton SD (2010). The effect of severe child sexual abuse and disclosure on mental health during adulthood. Journal of Child Sexual Abuse, 19(3), 275–289. doi: 10.1080/10538711003781251 [DOI] [PubMed] [Google Scholar]
- OECD. (2013). Family Violence. Paris, France: Organisation for Economic Co-operation and Development (OECD), Social Policy Division [Google Scholar]
- Ompad DC, Ikeda RM, Shah N, Fuller CM, Bailey S, Morse E, . . . Strathdee SA (2005). Childhood sexual abuse and age at initiation of injection drug use. American Journal of Public Health, 95(4), 703–709. doi: 10.2105/AJPH.2003.019372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pérez Del Rio F, & Mestre Guardiola M (2013). Abuso sexual en la infancia y la drogodependencia en la edad adulta. Papeles Del Psicólogo, 34(2), 144–149. [Google Scholar]
- Pulido ML, Dauber S, Tully BA, Hamilton P, Smith MJ, & Freeman K (2015). Knowledge gains following a child sexual abuse prevention program among urban students: A cluster-randomized evaluation. American Journal of Public Health, 105(7), 1344–1350. doi: 10.2105/AJPH.2015.302594 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ramos-Lira L, Saldívar-Hernández G, Medina-Mora ME, Rojas- Guiot E, & Villatoro-Velázquez J (1998). [Prevalence of sexual abuse in students and its relation with drug abuse].. Salud Publica De Mexico, 40, 221–233. [PubMed] [Google Scholar]
- Ramos-Lira L, Saltijeral-Méndez MT, Romero-Mendoza M, Caballero-Gutiérrez MA, & Martínez-Vélez NA (2001). [Sexual violence and related problems in women attending a health care center]. Salud Publica De Mexico, 43, 182–191. [PubMed] [Google Scholar]
- Rodríguez MOM, Mann R, Hamilton H, Erickson P, Brands B, Giesbrecht N,... Khenti A (2015). Relación entre el abuso sexual en la infancia y el uso de drogas ilícitas en estudiantes de una universidad pública en Nicaragua. Texto & Contexto - Enfermagem, 24, 80–87. (SPE). 10.1590/0104-07072015001100014 [DOI] [Google Scholar]
- Sartor CE, Waldron M, Duncan AE, Grant JD, McCutcheon VV, Nelson EC, ... Heath AC (2013). Childhood sexual abuse and early substance use in adolescent girls: The role of familial influences. Addiction, 108(5), 993–1000. doi: 10.1111/add.12115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schacht RL, George WH, Davis KC, Heiman JR, Norris J, Stoner SA, & Kajumulo KF (2010). Sexual abuse history, alcohol intoxication, and women’s sexual risk behavior. Archives of Sexual Behavior, 39(4), 898–906. doi: 10.1007/s10508-009-9544-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoedl AF, Costa MCP, Mari JJ, Mello MF, Tyrka AR, Carpenter LL, & Price LH (2010). The clinical correlates of reported childhood sexual abuse: An association between age at trauma onset and severity of depression and PTSD in adults. Journal of Child Sexual Abuse, 19(2), 156–170. doi: 10.1080/10538711003615038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shin SH, Hong HG, & Hazen AL (2010). Childhood sexual abuse and adolescent substance use: A latent class analysis. Drug and Alcohol Dependence, 109(1–3), 226–235. doi: 10.1016/j.drugalcdep.2010.01.013 [DOI] [PubMed] [Google Scholar]
- Simpson TL, & Miller WR (2002). Concomitance between childhood sexual and physical abuse and substance use problems. A review. Clinical Psychology Review, 22(1), 27–77. [DOI] [PubMed] [Google Scholar]
- Smolak L, & Murnen SK (2002). A meta-analytic examination of the relationship between child sexual abuse and eating disorders. The International Journal of Eating Disorders, 31(2), 136–150. [DOI] [PubMed] [Google Scholar]
- Springer KW, Sheridan J, Kuo D, & Carnes M (2003). The long-term health outcomes of childhood abuse. An overview and a call to action. Journal of General Internal Medicine, 18(10), 864–870. doi: 10.1046/j.1525-1497.2003.20918.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stoltenborgh M, Van Ijzendoorn MH, Euser EM, & Bakermans- Kranenburg MJ (2011). A global perspective on child sexual abuse: Meta-analysis of prevalence around the world. Child Maltreatment, 16 (2), 79–101. doi: 10.1177/1077559511403920 [DOI] [PubMed] [Google Scholar]
- Trickett PK, Noll JG, & Putnam FW (2011). The impact of sexual abuse on female development: Lessons from a multigenerational, longitudinal research study. Development and Psychopathology, 23(2), 453–476. doi: 10.1017/S0954579411000174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trickett PK, Noll JG, Susman EJ, Shenk CE, & Putnam FW (2010). Attenuation of cortisol across development for victims of sexual abuse. Development and Psychopathology, 22(1), 165–175. doi: 10.1017/S0954579409990332 [DOI] [PMC free article] [PubMed] [Google Scholar]
- UNICEF. (2014). Retrieved from http://www.unicef.org/peru/spanish/proteccion_3226.htm.
- Wilson DR (2010). Health consequences of childhood sexual abuse. Perspectives in Psychiatric Care, 46(1), 56–64. doi: 10.1111/j.1744-6163.2009.00238.x [DOI] [PubMed] [Google Scholar]
- World Health Organization. (2012). Understanding and addressing violence against women. Geneva, Switzerland: Author. [Google Scholar]

