The purpose of this study was to analyze the temporal and reciprocal relationships between depression and online child sexual victimization, including both online sexual solicitations and interactions of minors with adults. Gender differences in these relationships were also examined. A total of 1,504 adolescents (52.4 percent girls; mean age = 13.11; SD = 0.79) completed measures at T1 and at T2, 1 year apart. The relationship among variables was analyzed using structural equation modeling. The prevalence for sexual solicitation and interactions was 7.1 percent and 3.6 percent at T1 and 15.1 percent and 8.2 percent at T2, respectively. More depressive symptoms by minors at T1 predicted an increased online sexual solicitation and interaction with adults at T2. However, T1 sexual solicitation and interaction were not related to T2 depression. These results were equivalent for both girls and boys. Moreover, the findings showed considerable stability of online sexual child victimization over time. Intervention efforts (i.e., preventative actions) should consider the depressive symptomatology among adolescents. Similarly, interventions should focus on monitoring victims to reduce the likelihood that they will be victimized in the future.
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References
1.
KloessJA, BeechAR, HarkinsL. Online child sexual exploitation prevalence, process, and offender characteristics. Trauma, Violence, & Abuse, 2014; 15:126–139.
2.
WhittleH, Hamilton-GiachritsisC, BeechA, et al.A review of online grooming: characteristics and concerns. Aggression and Violent Behavior, 2013; 18:62–70.
3.
WolakJ, FinkelhorD, MitchellKJ, et al.Online “predators” and their victims: myths, realities, and implications for prevention and treatment. Psychology of Violence, 2010; 1:13–35.
4.
JonesL, MitchellK, FinkelhorD. Trends in youth Internet victimization: findings from three youth Internet safety surveys 2000–2010. Journal of Adolescent Health, 2012; 50:179–186.
5.
QuayleE, JonesT. Sexualized images of children on the internet. Sexual Abuse: A Journal of Research and Treatment, 2011; 23:7–21.
6.
De SantistebanP, Del HoyoJ, Alcázar-CórcolesMA, et al.Progression, maintenance, and feedback of online child sexual grooming: a qualitative analysis of online predators. Child Abuse & Neglect, 2018; 80:203–215.
7.
Gámez-GuadixM, AlmendrosC, CalveteE, et al.Persuasion strategies and sexual solicitations and interactions in online child grooming: modeling direct and indirect pathways. Journal of Adolescence, 2018; 63:11–18.
8.
BergenE. (2014) Comparing adult-youth and adult-adult online sexual solicitation: Manipulative behaviors, situational factors, and outcomes. Åbo, Finland: Abo Akademy University.
9.
De SantistebanP, Gámez-GuadixM. Prevalence and risk factors among minors for online sexual solicitations and interactions with adults. Journal of Sex Research, 2017; 2:1–12.
10.
MitchellKJ, JonesLM, FinkelhorD, et al. (2014) Trends in unwanted online experiences and sexting: Final report. Durham, NH: Crimes against Children Research Center.
11.
MontielI, CarbonellE, PeredaN. Multiple online victimization of Spanish adolescents: results from a community sample. Child Abuse & Neglect, 2015; 52:123–134.
12.
HankinBL, AbramsonLY, MoffittTE, et al.Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology, 1998; 107:128–140.
13.
PutnamFW. Ten-year research update review: child sexual abuse. Journal of the American Academy of Child & Adolescent Psychiatry, 2003; 42:269–278.
14.
PeredaN. Consecuencias psicológicas a largo plazo del abuso sexual infantil [Long-term psychological consequences of child sexual abuse]. Papeles del Psicólogo, 2010; 31:191–201.
15.
HammenC. Generation of stress in the course of unipolar depression. Journal of Abnormal Psychology, 1991; 100:555 − 561.
16.
LiuRT, AlloyLB. Stress generation in depression: a systematic review of the empirical literature and recommendations for future study. Clinical Psychology Review, 2010; 30:582–593.
17.
GibbBE, HanleyAJ. Depression and interpersonal stress generation in children: prospective impact on relational versus overt victimization. International Journal of Cognitive Therapy, 2010; 3:358–367.
18.
HammenC. Stress generation in depression: reflections on origins, research, and future directions. Journal of Clinical Psychology, 2006; 62:1065 − 1082.
19.
CalveteE, OrueI, HankinBL. A longitudinal test of the vulnerability-stress model with early maladaptive schemas for depressive and social anxiety symptoms in adolescents. Journal of Psychopathology and Behavioral Assessment, 2015; 37:85–99.
20.
BerlinerL, ElliottDM. (2002) Sexual abuse of children. In: The APSAC handbook on child maltreatment. Thousand Oaks, CA: Sag.:2nd ed., pp. 55–78.
21.
WhittleH, Hamilton-GiachritsisC, BeechA, et al.A review of young people's vulnerabilities to online grooming. Aggression and Violent Behavior, 2013b; 18:136–146.
22.
WellsM, MitchellK. Youth sexual exploitation on the Internet: DSM-IV diagnoses and Gender Differences in co-occurring mental health issues. Child and Adolescent Social Work Journal, 2007; 24:235–260.
23.
NollJG, ShenkCE, BarnesJE, et al.Association of maltreatment with high-risk internet behaviors and offline encounters. Pediatrics, 2013; 131:510–517.
24.
Nur SayG, BabadagiZ, KarabekirogluK, et al.Abuse characteristics and psychiatric consequences associated with online sexual abuse. Cyberpsychology, Behavior and Social Networking, 2015; 18:333–336.
25.
Schultze-KrumbholzA, JäkelA, SchultzeM, et al.Emotional and behavioural problems in the context of cyberbullying: a longitudinal study among German adolescents. Emotional and Behavioural Difficulties, 2012; 17:329–345.
26.
Gámez-GuadixM, OrueI, SmithPK, et al.Longitudinal and reciprocal relations of cyberbullying with depression, substance use, and problematic internet use among adolescents. Journal of Adolescent Health, 2013; 53:446–452.
27.
Maikovich-FongAK, JaffeeSR. Sex differences in childhood sexual abuse characteristics and victims' emotional and behavioral problems: findings from a national sample of youth. Child Abuse & Neglect, 2010; 34:429–437.
28.
ZhuG, van der AaS. Trends of age of consent legislation in Europe: a comparative study of 59 jurisdictions on the European continent. New Journal of European Criminal Law, 2017; 8:14–42.
29.
Gámez-GuadixM, De SantistebanP, AlcazarMA. The construction and psychometric properties of the questionnaire for online sexual solicitation and interaction of minors with adults. Sexual Abuse: A Journal of Research and Treatment, 2017; 1:1079063217724766.
30.
DerogatisLR, FitzpatrickM. (2004) The SCL-90-R, the brief symptom inventory (BSI), and the BSI-18. In: MaruishME, ed. The use of psychological testing for treatment planning and outcomes assessment: Volume 3: Instruments for adults. Mahwah: Lawrence Erlbaum Associates Publishers, 3rd ed., pp. 1–41.
31.
PeredaN, FornsM, PeróM. Dimensional structure of the brief symptom inventory with Spanish college students. Psicothema, 2007; 19:634–639.
ByrneBM. (2006) Structural equation modeling with EQS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates.
34.
Gámez-GuadixM, GiniG. Individual and class justification of cyberbullying and cyberbullying perpetration: a longitudinal analysis among adolescents. Journal of Applied Developmental Psychology, 2016; 44:81–89.
