Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-25T14:13:33.544Z Has data issue: false hasContentIssue false

The relative effects of parental alcohol use disorder and maltreatment on offspring alcohol use: Unique pathways of risk

Published online by Cambridge University Press:  31 October 2023

Andrew J. Ross*
Affiliation:
Mt. Hope Family Center, University of Rochester, Rochester, NY, USA
Justin Russotti
Affiliation:
Mt. Hope Family Center, University of Rochester, Rochester, NY, USA
Sheree L. Toth
Affiliation:
Mt. Hope Family Center, University of Rochester, Rochester, NY, USA
Dante Cicchetti
Affiliation:
Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
Elizabeth D. Handley
Affiliation:
Mt. Hope Family Center, University of Rochester, Rochester, NY, USA
*
Corresponding author: Andrew J. Ross; Email: andrew.ross@rochester.edu
Rights & Permissions [Opens in a new window]

Abstract

Childhood adversity represents a robust risk factor for the development of harmful substance use. Although a range of empirical studies have examined the consequences of multiple forms of adversity (i.e., childhood maltreatment, parental alcohol use disorder [AUD]), there is a dearth of information on the relative effects of each form of adversity when considered simultaneously. The current study utilizes structural equation modeling to investigate three unique and amplifying pathways from parental AUD and maltreatment exposure to offspring alcohol use as emerging adults: (1) childhood externalizing symptomatology, (2) internalizing symptomatology, and (3) affiliation with substance-using peers and siblings. Participants (N = 422) were drawn from a longitudinal follow-up study of emerging adults who participated in a research summer camp program as children. Wave 1 of the study included 674 school-aged children with and without maltreatment histories. Results indicated that chronic maltreatment, over and above the effect of parent AUD, was uniquely associated with greater childhood conduct problems and depressive symptomatology. Mother alcohol dependence was uniquely associated with greater affiliation with substance-using peers and siblings, which in turn predicted greater alcohol use as emerging adults. Results support peer and sibling affiliation as a key mechanism in the intergenerational transmission of substance use between mothers and offspring.

Type
Regular Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Introduction

Childhood adversity represents a robust risk factor for the development of harmful substance use (Hughes et al., Reference Hughes, Bellis, Hardcastle, Sethi, Butchart, Mikton, Jones and Dunne2017; Dube et al., Reference Dube, Felitti, Dong, Chapman, Giles and Anda2003) and substance use disorders (SUDs; Brown & Shillington, Reference Brown and Shillington2017), with over 25% of all cases of SUD attributed to experiencing early adversity (Kessler et al., Reference Kessler, McLaughlin, Green, Gruber, Sampson, Zaslavsky, Aguilar-Gaxiola, Alhamzawi, Alonso, Angermeyer, Benjet, Bromet, Chatterji, de Girolamo, Demyttenaere, Fayyad, Florescu, Gal, Gureje and Williams2010). Early adversity can include, but is not limited to, exposure to abuse and neglect and living with a caregiver who is unable to adequately meet their needs due to substance misuse (Chassin & Handley, Reference Chassin and Handley2006; Smith, Johnson, Pears, Fisher, & DeGarmo, Reference Smith, Johnson, Pears, Fisher and DeGarmo2007), domestic violence (Renner & Slack, Reference Renner and Slack2006), or mental health challenges (Park et al., Reference Park, Solomon and Mandell2006). Moreover, different forms of early adversity tend to co-occur within families (e.g., Brown & Shillington, Reference Brown and Shillington2017; Brown et al., Reference Brown, Rienks, McCrae and Watamura2019; Russotti et al., Reference Russotti, Warmingham, Handley, Rogosch and Cicchetti2021) which may increase the likelihood of negative consequences for offspring, including substance use (Brown & Shillington, Reference Brown and Shillington2017; Fettes et al., Reference Fettes, Aarons and Green2013) and delinquency (Grogan-Kaylor et al., Reference Grogan-Kaylor, Ruffolo, Ortega and Clarke2008; Ryan & Testa, Reference Ryan and Testa2005).

Given the clinical and public health implications for experiencing any form of childhood adversity, the current study examines the effects of two forms of early adversity in particular (i.e., living with a parent who abuses substances; exposure to maltreatment) given their highly co-occurring nature (e.g., Appleyard et al., Reference Appleyard, Berlin, Rosanbalm and Dodge2011; Hayre et al., Reference Hayre, Goulter and Moretti2019). Children whose parents abuse drugs and alcohol are almost three times more likely to experience parental neglect relative to children of parents who do not abuse substances (Smith & Wilson, Reference Smith and Wilson2016). Being raised by a parent with a SUD has been identified as one of the most common reasons children enter the child welfare system (Olsen, Reference Olsen2015; Seay, Reference Seay2015; Straussner & Fewell, Reference Straussner, Fewell, Reupert, Maybery, Nicholson, Göpfert and Seeman2015). National child welfare system data indicate that substance abuse is identified or suspected in 66% of all substantiated cases within the child protective service system and in 79% of cases that involve removal of children from their home (U.S. Department of Health and Human Services, 2021).

Although a range of empirical studies have examined the consequences of these forms of adversity occurring together, there is a dearth of information on the relative effects of each form of adversity when considered simultaneously. It appears that only one prior study, conducted by Stein et al. (Reference Stein, Leslie and Nyamathi2002), examined the relative contributions of parent substance use and childhood maltreatment. Specifically, they found that among homeless adult women, exposure to parent substance use directly predicted the development of later substance use problems, while childhood abuse (i.e., physical abuse, sexual abuse, emotional abuse), not assessing for neglect, indirectly predicted substance use problems via self-esteem and later abuse pathways. From the perspective of clinical prevention and intervention development, it is essential to parse out the specific influences of different adverse experiences as therapists and policymakers develop targets for therapeutic improvement.

Moreover, the current study examines pathways through which these adverse familial experiences confer risk for alcohol misuse in offspring during emerging adulthood, given the importance of this developmental period in the context of substance use. The use of alcohol and drugs often follows a developmental pattern, as substance use most commonly begins in adolescence, escalates in young adulthood, and peaks between the ages of 18 and 25 years (Hussong & Smith, Reference Hussong, Smith, Lansford and Banati2018). Among the processes that can set in motion substance use throughout adolescence and emerging adulthood, parent substance use (e.g., Chassin et al., Reference Chassin, Hussong, Rothenberg and Sternberg2019; Knight et al., Reference Knight, Menard and Simmons2014), and maltreatment (e.g., Cicchetti & Handley, Reference Cicchetti and Handley2019; Jonson-Reid et al., Reference Jonson-Reid, Kohl and Drake2012) have each been identified as robust predictors.

Intergenerational transmission of substance use

Offspring of substance-abusing parents are among the highest risk groups for experiencing alcohol use disorders (AUDs) and other SUDs (Bountress et al., Reference Bountress, Chassin and Lemery-Chalfant2017; Chassin et al., Reference Chassin, Colder, Hussong and Sher2016; Hussong et al., Reference Hussong, Jones, Stein, Baucom and Boeding2011). A summary of the National Surveys on Drug Use and Health in the United States from 2009 to 2014 found that about 8.7 million or 12.3% of American children aged 17 or younger lived in households with at least one parent who had a past-year SUD (Straussner & Fewell, Reference Straussner and Fewell2018). Extant research highlights the potential for multifinality in the developmental trajectories of youth who have a parent with a SUD, as some offspring of parents with alcohol and drug use disorders can demonstrate resilience throughout their youth and into adulthood, while many offspring of adults with SUD can develop a range of emotional, behavioral, physical, cognitive, and social problems (Cicchetti & Rogosch, Reference Cicchetti and Rogosch1999; Straussner & Fewell, Reference Straussner, Fewell, Reupert, Maybery, Nicholson, Göpfert and Seeman2015).

Capaldi et al. (Reference Capaldi, Tiberio, Kerr and Pears2016) found that maternal alcohol use was associated with their child’s earlier onset and use of alcohol, while those who engage in heavy drinking during adolescence likely continue this problematic drinking into emerging adulthood (Diggs & Neppl, Reference Diggs and Neppl2018; Thompson et al., Reference Thompson, Stockwell, Leadbeater and Homel2014). Specifically, Diggs and Neppl (Reference Diggs and Neppl2018) examined the continuity of alcohol use from middle adolescence to emerging adulthood, finding that alcohol use at age 16 predicted binge drinking in late adolescence, which led to binge drinking in emerging adulthood. Additionally, Henry and Augustyn (Reference Henry and Augustyn2017) found that individuals who began using cannabis by age 15 were more likely to meet criteria for a lifetime cannabis disorder. As such, there is support for a cascading effect of parents’ substance use on the substance use of their offspring when they reach young adulthood. Taken together, continued examination of the pathways of risk and resilience for these offspring can provide greater insight into the implementation of developmentally attuned preventive interventions (Hussong et al., Reference Hussong, Jones, Stein, Baucom and Boeding2011; Ialongo et al., Reference Ialongo, Rogosch, Cicchetti, Toth, Buckley, Petras, Cicchetti and Cohen2006).

In conjunction with parenting factors that may influence adolescent and young adult substance use, there is evidence that additional family- and community-level characteristics play an important role in the development of substance use during these important developmental periods (e.g., Heerde et al., Reference Heerde, Bailey, Toumbourou and Catalano2019). Children of mothers with SUDs are more often exposed to violence and crime in and outside of the home, which can contribute to cumulative risk for future developmental problems (Hser et al., Reference Hser, Lanza, Li, Kahn, Evans and Schulte2015). Families affected by SUDs are more likely than other families to experience a variety of stressful life events, including violence, physical health challenges, economic hardship, and family disruption (Hoffmann et al., Reference Hoffmann, Cerbone and Su2000; Hoffmann & Cerbone, Reference Hoffmann and Cerbone2002). These family- and community-level stressors can in turn increase the likelihood of adolescent stress and ultimately heighten risk for adolescent and young adult drug use and abuse, as these individuals try to cope with the hardships endured (Hoffmann & Cerbone, Reference Hoffmann and Cerbone2002).

Effects of maltreatment on substance use

Child maltreatment represents an early experience that is among the most detrimental to children’s psychological, social, and biological development (Cicchetti & Toth, Reference Cicchetti and Toth2016) and is essential to consider in the context of both parental substance use and the development of adolescent and young adult substance use. Individuals who are raised by one or more parents with SUD are at substantially greater risk for exposure to child maltreatment (e.g., Appleyard et al., Reference Appleyard, Berlin, Rosanbalm and Dodge2011; Cicchetti & Handley, Reference Cicchetti and Handley2019). Exposure to maltreatment is predictive of delinquency and substance use among adolescents (e.g., Cicchetti & Handley, Reference Cicchetti and Handley2019; Jonson-Reid et al., Reference Jonson-Reid, Kohl and Drake2012) and young adults (e.g., Capusan et al., Reference Capusan, Gustafsson, Kuja-Halkola, Igelström, Mayo and Heilig2021), including an earlier initiation into drinking (Dube et al., Reference Dube, Miller, Brown, Giles, Felitti, Dong and Anda2006) and persistently elevated heavy episodic drinking throughout adolescence and young adulthood (Shin et al., Reference Shin, Miller and Teicher2013). Prior empirical work has identified child maltreatment as a unique predictor of persistent alcohol dependence in adulthood over and above other forms of childhood adversity (e.g., parental divorce, parental death; Elliot et al., Reference Elliott, Stohl, Wall, Keyes, Goodwin, Skodol and Hasin2014).

Individuals whose formative years are marked by trauma and adversity within the family system, notably maltreatment (e.g., abuse, neglect), are more likely than others to experience accelerated biological and social maturation and “rush to adulthood” (Belsky et al., Reference Belsky, Caspi, Houts, Cohen, Corcoran, Danese and Moffitt2015; Ryan et al., Reference Ryan, Mendle and Markowitz2015). Youth with histories of maltreatment may seek out early transitions to adulthood in order to escape a stressful or traumatic environment. Prior research suggests that maltreatment victimization is associated with an increased likelihood of dropping out of high school (e.g., Allwood & Widom, Reference Allwood and Widom2013), prematurely leaving the family home to live on one’s own (e.g., Thrane et al., Reference Thrane, Hoyt, Whitbeck and Yoder2006; Tyler & Bersani, Reference Tyler and Bersani2008), and adolescent pregnancy (e.g., Russotti et al., Reference Russotti, Font, Toth and Noll2022). In turn, the heightened access to and desire for drugs and alcohol may be a consequence of, or may co-occur with, this accelerated transition into adulthood (Augustyn et al., Reference Augustyn, Thornberry and Henry2019).

Pathways to problem drinking

Externalizing pathway

Ongoing research efforts have provided the field with a growing understanding of the potentially overlapping pathways through which parent substance use and maltreatment can influence offspring development and behavior. There is robust support for an externalizing pathway to offspring substance use stemming from parental substance use (e.g., Chassin et al., Reference Chassin, Colder, Hussong and Sher2013, Reference Chassin, Sher, Hussong and Curran2016) and maltreatment (e.g., Handley et al., Reference Handley, Rogosch, Guild and Cicchetti2015; Oshri et al., Reference Oshri, Rogosch, Burnette and Cicchetti2011). This pathway, also referred to as the behavioral disinhibition pathway, is marked by childhood behavioral concerns including aggression, poor self-regulation, and rule-breaking behaviors, which are associated with increased substance use in adolescence and beyond (Chassin et al., Reference Chassin, Colder, Hussong and Sher2016; Cicchetti & Handley, Reference Cicchetti and Handley2019).

Parents may deter their adolescents’ substance use via parenting behaviors (e.g., social support, socialization about substance use; Cicchetti & Handley, Reference Cicchetti and Handley2019; Handley & Chassin, Reference Handley and Chassin2013). However, in families consisting of a parent with a SUD or in families affected by maltreatment, these substance-deterring parenting behaviors can be compromised (e.g., Macaulay et al., Reference Macaulay, Griffin, Gronewold, Williams and Botvin2005; Wade & Pevalin, Reference Wade and Pevalin2005; Wall & Kohl, Reference Wall and Kohl2007). Furthermore, maladaptive parenting practices and home environments often interact with offspring behavior and affiliation with substance-using peers to enhance risk (Chassin et al., Reference Chassin, Sher, Hussong and Curran2013; Cicchetti & Handley, Reference Cicchetti and Handley2019).

Internalizing pathway

A related but separate pathway underlying risk for the development of substance use is the internalizing pathway. This pathway to SUD, also referred to as the negative affect pathway, is marked by an early inhibited temperament style and internalizing symptoms throughout childhood continuing into adolescence and adulthood (Cicchetti & Handley, Reference Cicchetti and Handley2019; Hussong et al., Reference Hussong, Jones, Stein, Baucom and Boeding2011). Within the internalizing framework, individuals exposed to early adversity (e.g., abuse) may exhibit prolonged substance use during adolescence and adulthood as a means of escape or self-medication (Hussong et al., Reference Hussong, Jones, Stein, Baucom and Boeding2011; Lansford et al., Reference Lansford, Dodge, Pettit and Bates2010). As noted by Cicchetti and Handley (Reference Cicchetti and Handley2019), empirical support for the internalizing pathway to the development of SUD has been mixed. Although some prior studies have demonstrated that internalizing symptoms predict problematic drinking behaviors above and beyond the effects of externalizing symptoms (e.g., Menary et al., Reference Menary, Corbin and Chassin2017; Pesola et al., Reference Pesola, Shelton, Heron, Munafò, Hickman and van den Bree2015) others have observed a lack of an association (e.g., Chassin et al., Reference Chassin, Pitts, DeLucia and Todd1999; King & Chassin, Reference King and Chassin2008) or a protective effect of internalizing symptoms, such that social withdrawal reduced risk for engagement in substance use (e.g., Kaplow et al., Reference Kaplow, Curran, Angold and Costello2001; Rogosch et al., Reference Rogosch, Oshri and Cicchetti2010). Within the context of child maltreatment, evidence for an internalizing pathway is emerging (e.g., Handley et al., Reference Handley, Rogosch and Cicchetti2017; Jester et al., Reference Jester, Wong, Cranford, Buu, Fitzgerald and Zucker2015; Mezquita et al., Reference Mezquita, Ibánez, Moya, Villa and Ortet2014), such that childhood abuse is associated with higher levels of negative emotionality, in turn predicting motivation to engage in substance use. Moreover, there is growing support for an internalizing pathway from parent SUD to offspring substance use (e.g., Chassin et al., Reference Chassin, Colder, Hussong and Sher2016; Hussong et al., Reference Hussong, Jones, Stein, Baucom and Boeding2011).

Peer affiliation pathway

In addition to the symptomatology pathways, there is a range of extant empirical work underscoring the role of peer relationships and affiliation with deviant peers in the development of risk behavior among individuals reared in high-risk households (e.g., Chen et al., Reference Chen, Chang, He and Liu2005; Salzinger et al., Reference Salzinger, Rosario and Feldman2007). Exposure to maltreatment has been consistently identified as a predictor of maladaptive peer relationships (e.g., Bolger & Patterson, Reference Bolger and Patterson2001; Kim & Cicchetti, Reference Kim and Cicchetti2010). Youth with maltreatment histories tend to have poor quality, unsatisfactory friendships marked by aggression and coercion (Cicchetti & Toth, Reference Cicchetti and Toth2016; Dodge et al., Reference Dodge, Pettit and Bates1994). Affiliation with substance-using peers may be driven by a motivation for belongingness; however, peer pressure, control, manipulation, and social reinforcement among peer groups engaging in substance use may be particularly pronounced among individuals with histories of early adversity (Ellis & Wolfe, Reference Ellis and Wolfe2009).

Affiliation with deviant, substance-using peers has been identified as one of the most robust predictors of substance use throughout adolescence and into emerging adulthood (e.g., Chassin et al., Reference Chassin, Sher, Hussong and Curran2013; Chuang et al., Reference Chuang, Ennett, Bauman and Foshee2005; Haller et al., Reference Haller, Handley, Chassin and Bountress2010). Moreover, with respect to being reared by a parent experiencing SUD, affiliation with substance-using peers has been shown to mediate the effects of parenting behaviors on youth substance use (Kiesner et al., Reference Kiesner, Poulin and Dishion2010). Youth experimentation with alcohol may be viewed as modeling peer or older sibling behavior. Social learning theory suggests that peer or sibling substance use may have a modeling effect (Bandura, Reference Bandura1977), by which substance use behaviors of peers and siblings encourage imitation by adolescents. Further, being raised in a household in which alcohol use is occurring frequently, used as a coping strategy by parents and older siblings, and viewed as normative and appropriate may encourage youth to seek out peers who share similar positive attitudes about drinking. Parental substance use has also been demonstrated to decrease the amount of monitoring parents provide to adolescents (e.g., Chassin et al., Reference Chassin, Presson, Rose and Sherman1996; Sher et al., Reference Sher, Grekin and Williams2005) with fewer restrictions imposed regarding engagement with peers. This decreased monitoring can in turn promote greater accessibility of substances and heavier use of substances among adolescents (Clark et al., Reference Clark, Shamblen, Ringwalt and Hanley2012; Van der Vorst et al., Reference Van der Vorst, Engels, Meeus and Deković2006). In sum, exposure to early adversity in the form of maltreatment and parental AUD may confer risk for problematic alcohol use in emerging adulthood as a result of three not mutually exclusive pathways: externalizing symptoms in childhood, internalizing symptoms in childhood, and affiliation with a substance-using peer network.

Current study

Although parental alcohol use and maltreatment exposure have been separately identified as predictors of offspring alcohol use and established as highly co-occurring (e.g., Appleyard et al., Reference Appleyard, Berlin, Rosanbalm and Dodge2011), there is limited information on the specific contributions of parental alcohol relative to maltreatment when considered in tandem. Some extant empirical work suggests a cumulative nature to adverse childhood experiences (ACEs) in their effects on youth and adult health, such that the summation of adversity (e.g., parental substance abuse, maltreatment exposure) would have greater effects on the development of offspring substance use during young adulthood, in addition to various aspects of well-being and functioning (Hughes et al., Reference Hughes, Bellis, Hardcastle, Sethi, Butchart, Mikton, Jones and Dunne2017; Rogers et al., Reference Rogers, Pakdaman, Forster, Sussman, Grigsby, Victoria and Unger2022). However, this prior work does not appear to parse out the specific unique contributions of each familial exposure, nor does it consider how maltreatment exposure and parent alcohol use disorder may interact, or amplify, each other. Specifically, the interaction of maltreatment and parental AUD may be better represented by a synergistic amplification model, such that the effects of maltreatment on an individual may be exacerbated when the individual is additionally reared in a household affected by parent AUD. Although prior literature provides support for the process of amplification among co-occurring forms of adversity (e.g., being reared in a household with parental psychopathology; Carter et al., Reference Carter, Garrity-Rokous, Chazan-Cohen, Little and Briggs-Gowan2001; Sellers et al., Reference Sellers, Collishaw, Rice, Thapar, Potter, Mars and Thapar2013), this remains unclear in the context of co-occurring maltreatment and parent alcohol dependence.

In the current study, we investigate the potential unique and amplifying pathways from parental AUD and maltreatment exposure to offspring development of concerning alcohol use. Our first aim is to examine the unique effects of maltreatment, parental AUD, and their interaction, on offspring development of problematic alcohol use in emerging adulthood. We hypothesize that parental AUD and maltreatment would have an amplifying effect, such that relative to those only affected by one of these adverse experiences, the influence of maltreatment on the development of problematic alcohol use in young adulthood would be stronger among individuals additionally exposed to parental AUD. Our second aim is to examine the role of multiple, and not mutually exclusive, theoretically and empirically supported pathways from parental AUD and maltreatment to offspring alcohol use, specifically the development of problem alcohol use via 1) childhood externalizing symptomatology, 2) childhood internalizing symptomatology, and 3) affiliation with substance-using peers and siblings during childhood. We hypothesize that greater externalizing symptomatology, greater internalizing symptomatology, and affiliation with peers and siblings engaging in substance use would differentially mediate the effects of experiencing both parental AUD and maltreatment.

Method

Participants

Participants (N = 422) were drawn from a longitudinal follow-up study of emerging adults who participated in a research summer camp program as children. The original study (wave 1) included 674 low-income maltreated (n = 348) and non-maltreated (n = 326) children aged 10 to 12. The original sample was racially and ethnically diverse (71.6% Black, 11.8% White, 12.6% Latinx, 4.0% biracial, 1% other race) and evenly distributed by gender (50.1% male). Most children were from single-parent families (68.7%) with a history of receiving public assistance (96.1%). With respect to parental characteristics, 41.6% of participants were reared by a mother with at least a high school degree or GED equivalent. At wave 2 (W2), emerging adults were on average 19.68 years old (SD = 1.15), 51.1% female, 53.5% (n = 207) exposed to maltreatment, and identified as Black (68.5%), White (9.2%), Latinx (12.6%), biracial (6.1%), and other race (3.6%). W2 participants were demographically comparable to those at W1 on sex (χ 2 (1) = 1.98, p = .34) and race (t (674) = 2.31, p = .28). Additionally, W2 participants did not significantly differ from the W1 participants lost to attrition on maltreatment status (χ 2 (1) = .41, p = .52), income (t (674) = 1.20, p = .58), sex (χ 2 (1) = 1.58, p = .21), childhood conduct problems t (674) = 0.43, p = 0.67) or internalizing symptoms (t (674) = 1.26, p = 0.21).

Procedure

W1 participants were recruited for a summer research camp from 2004 to 2007. Children in the maltreated group had substantiated investigations of child maltreatment according to Department of Human Services (DHS) Child Protective Services (CPS) records. Children without CPS involvement were recruited from families receiving Temporary Assistance to Needy Families (TANF) to ascertain a sociodemographically comparable sample of children without maltreatment experiences. A DHS liaison identified eligible families and contacted a random sample from both groups via mail. If families elected to participate, their contact information was shared with research staff. Parents who chose to enroll their children in the research summer camp provided signed consent to study procedures. Children also provided assent to study procedures.

During the camp, counselors facilitated recreational activities (e.g., music, art, sports) with the same groups of 6–8 children (35 hours of direct contact and observation). Children were assigned to same-gender peer groups for participation in recreational activities in order to reduce the risk of moderation by gender and to reflect the naturally occurring interpersonal processes among school-aged children. Half of the children in each of the groups were maltreated and the other half did not have a history of maltreatment. Maltreatment status was unknown to camp counselors, who were trained on completing assessments based on observations and interactions with the children in their respective groups. Children self-reported on their functioning and camp counselors provided independent ratings of childhood functioning after the end of the week. At W2 (∼eight years after W1), a variety of strategies were used to relocate and recruit W1 participants for a follow-up study during emerging adulthood. Records of last known addresses, extensive public internet searches (e.g., LexisNexis), contact information from medical records, and neighborhood canvasing were part of a comprehensive recruitment design. Interested participants completed signed consents and then participated in three research visits.

W1 measures

Child maltreatment

Specific maltreatment experiences were coded from DHS records using the Maltreatment Classification System (MCS; Barnett et al., Reference Barnett, Manly, Cicchetti, Cicchetti and Toth1993) by trained doctoral students and by clinical and developmental psychologists. The MCS is a reliable and valid method for classifying maltreatment (Manly, Reference Manly2005) that utilizes DHS records detailing investigations and findings involving maltreatment in identified families over time. Rather than relying on official designations and case dispositions, the MCS codes all available information from DHS records, making independent determinations of maltreatment experiences. Based on operational criteria, the MCS designates subtypes of maltreatment children have experienced (i.e., neglect, emotional maltreatment, physical abuse, and sexual abuse) and the severity of each type on a scale ranging from 1 (least) to 5 (most) severe. Events were coded as occurring during five developmental periods, including infancy (0–12 months), toddlerhood (13–36 months), preschool (36–60 months), early school age (age 5–7), and later school age (age 8–12), with number of developmental periods utilized as a predictor in our analytic model. Among participants exposed to maltreatment, 56.6% experienced maltreatment during one developmental period, 26.4% during two developmental periods, 11.2% during three periods, 4% during four periods, and 1.7% during five developmental periods. Coders were required to meet acceptable reliability with criterion standards before coding actual records for the study; weighted κ’s with the criterion ranged from .86 to .98. Reliabilities (κ’s) for the presence vs. absence of maltreatment subtypes ranged from .90 to 1.00.

Mother alcohol dependence

The Diagnostic Interview Schedule for DSM-IV (DIS-IV; Robins et al., Reference Robins, Cottler, Bucholz and Compton1995) is a structured clinical interview administered in person with the help of a computer system to provide clinical psychiatric diagnoses and symptom counts based on DSM-IV criteria (American Psychiatric Association, 1994). Modules of the DIS-IV were conducted with caregivers in a private room by administrators trained on this measure. For the current study, we examined lifetime alcohol dependence symptoms among mothers, ranging from 0 to 7 symptoms.

Childhood conduct problems

Childhood conduct problems were assessed using the Pittsburgh Youth Survey (PYS; Loeber et al., Reference Loeber, DeLamatre, Keenan, Zhang, Cairns, Bergman and Kagan1998). The PYS is a self-report measure that examines a range of delinquent behaviors and substance use in childhood. Reporters indicate both the lifetime prevalence of behaviors, as well as the occurrence in the past six months. A total of the 25 conduct disorder symptoms (e.g., stealing, cheating on school tests, damaging property) endorsed in the past 6 months, excluding the 6 substance use items, was used to determine childhood conduct problems. The mean number of symptoms endorsed was 2.21 (SD = 2.80). Reliability was adequate for the 25 items (α = .83).

Childhood depressive symptoms

Child depressive symptoms were measured using child self-report of the Child Depression Inventory (CDI; Kovacs, Reference Kovacs1982). The CDI is 27-item questionnaire measure of depressive symptoms designed for school-age children. Children were asked to select the response option that best describes them within the past two weeks. The CDI is a well-established measure of child depressive symptoms with good psychometric properties (Kovacs, Reference Kovacs1982). A summary score of the 27 items was calculated to index self-reported depressive symptoms. Participants in this study reported a mean of 8.01 (SD = 6.76). A total score greater than, or equal to 19 is indicative of clinical level depressive symptoms (Kovacs, Reference Kovacs1982). In the current sample, 8.1% of children met this threshold for clinically elevated depressive symptoms.

Affiliation with substance-using peers and siblings

Peer and older sibling substance use were measured separately using two 7-item self-report questionnaires. Children reported how many of their friends use cigarettes, alcohol, marijuana, pills, cocaine, paint, glue, or other substances, to their knowledge using a 6-point Likert-type scale (i.e., 0 = none, 1 = a few, 2 = some, 3 = most, 4 = all, 5 = don't know). They separately reported if they have an older brother or sister, and if so, whether their sibling uses any of the listed substances with “yes,” “no,” and “don't know” responses. For the purposes of the current study, and in consideration of the developmental level of participants and their peers, we created a sum score of only the three items assessing cigarette, alcohol, and marijuana use for peers, and separately for older siblings, which were then summed to create a composite peer and older sibling substance use score. This composite was then converted into a binary variable, such that the absence of substance use among peers or siblings was coded as 0 and a sum of 1 or above (i.e., presence of any substance use) was coded as 1. Among participants, 22.3% reported peer use of at least one substance and 18.2% reported sibling use of at least one substance; 33.5% reported peer and/or sibling use based on the composite score created. Participants were assured that their responses would be confidential, and this information would not be used to get them or their friends and siblings into trouble.

W2 measures

Offspring emerging adult problem drinking

Emerging adult alcohol dependence. The Diagnostic Interview Schedule for DSM-IV (DIS-IV; Robins et al., Reference Robins, Cottler, Bucholz and Compton1995) was administered with offspring at the W2 measurement period to identify clinical psychiatric diagnoses and symptom counts based on DSM-IV criteria (American Psychiatric Association, 1994). For this wave of the study, modules of the DIS-IV were conducted with emerging adult offspring in a private room by administrators trained on this measure. For the current study, we examined past-year symptoms of alcohol dependence among young adults, ranging from 0 to 7 symptoms.

Emerging adult alcohol consumption. Problem drinking in emerging adulthood was assessed using 4 alcohol consumption items, which were adapted from Sher (Reference Sher1993)) and subsequently utilized in a plethora of empirical work addressing the developmental consequences of youth and adult alcohol use (e.g., Chassin et al., Reference Chassin, Pitts, DeLucia and Todd1999, Reference Chassin, Sher, Hussong and Curran2013). Two items asked participants to self-report their quantity of hard liquor consumption, ranging from (0) “No drinks” to (8) “Nine or more drinks” during a given drinking session, and separately, frequency of consumption of hard liquor in the past year, with response options ranging from (0) “Never” to (7) “Everyday.” These items were multiplied to index the consumption of hard liquor in the past year. Because this consumption variable was nonnormality distributed, and given that modeling techniques are sensitive to nonnormality, a square root transformation was used to reduce skewness and kurtosis. Participants also self-reported the frequency of their binge drinking of beer, wine, wine coolers, or hard liquor within the past year (defined as 3 or more drinks for women and 5 or more drinks for men) and the frequency of getting drunk on alcohol (not just lightheaded) within the past year. The response scale for frequency of binge drinking and drunkenness ranged from (0) “Never to (7) “Everyday.” As described in detail below, these three variables (i.e., consumption of hard liquor, binge drinking, and drunkenness), in addition to a diagnosis of alcohol dependence from the DIS-IV, were modeled as indicators of an offspring emerging adult problem drinking latent construct in subsequent analyses. In this sample, 70.5% of emerging adult participants indicated drinking alcohol in the past year.

Data analytic plan

Zero-order correlations, descriptive data analyses, confirmatory factor analysis (CFA), and structural equation models (SEM) were estimated using Mplus Version 8.0 (Muthén & Muthén, Reference Muthén and Muthén2017). CFA was estimated to examine model fit of an endogenous latent factor representing offspring problematic alcohol use at emerging adulthood. The CFA was specified such that past-year consumption of hard liquor, binge drinking, drunkenness, and alcohol dependence symptoms based on the DIS-IV, were indicators of a latent factor representing offspring problematic alcohol use (see above for measurement details of the four indicators). Results of this measurement model informed specification of the structural model.

The structural equation model was first specified such that the number of developmental periods in which individuals experienced maltreatment, and the number of mother alcohol dependence symptoms, were included as exogenous predictors, as well as the cross-product interaction term of number of mother alcohol dependence symptoms multiplied by number of developmental periods of maltreatment exposure. Subsequently, a second structural model was tested such that childhood externalizing symptomatology, internalizing symptomatology, and peer acceptance were specified as mediators of the relation between predictors and the latent outcome of young adult problematic alcohol use. The residual correlations between the mediators were estimated. Mothers’ education level, assessed as a binary variable (i.e., at least high school degree versus below high school degree), and offspring sex (i.e., male, female) were additionally examined as a covariate of each mediator and outcome given empirical support for their associations with offspring developmental risk. Specifically, lower parent education level has been identified as a correlate of offspring alcohol use (e.g., Kelly et al., Reference Kelly, Chan, Toumbourou, O’Flaherty, Homel, Patton and Williams2012). An individual’s sex has been identified as a predictor of symptomatology, with males more likely to exhibit externalizing behaviors (Mayes et al., Reference Mayes, Castagna and Waschbusch2020) and females more likely to exhibit anxiety symptoms in childhood (e.g., Altemus et al., Reference Altemus, Sarvaiya and Epperson2014). Offspring race was initially examined as an additional covariate, but given lack of unique significant associations with mediators and outcome, was excluded from the final model.

Missing data for endogenous variables were estimated as a function of exogenous variables based on the missing at random assumption (Schafer & Graham, Reference Schafer and Graham2002). The weighted least square mean and variance adjusted (WLSMV) estimation was used and missing data for endogenous variables was handled using full information maximum likelihood (FIML). Model fit was evaluated using the comparative fit index (CFI), root mean square error of approximation (RMSEA), and the weighted root mean square residual (WRMR; Hu & Bentler, Reference Hu and Bentler1999). Mediation was tested using 95% asymmetric confidence intervals (CIs) through RMediation (Tofighi & MacKinnon, Reference Tofighi and MacKinnon2011). Confidence intervals that did not include the value of zero determined significant mediation.

Results

Preliminary data analyses

Zero-order correlations for all measures can be seen in Table 1. As anticipated, the number of developmental periods in which maltreatment occurred was associated with greater childhood conduct problems (r = .18, p < .01), greater childhood depressive symptomatology (r = .15, p < .01), and greater likelihood of affiliation with substance-using peers or siblings during childhood (r = .14, p < .01). Exposure to mother alcohol dependence symptoms was associated with greater depressive symptomatology (r = .13, p < .01) and greater likelihood of affiliation with substance-using peers (r = .18, p < .01). The number of developmental periods of maltreatment and mother alcohol dependence symptoms each were associated with offspring alcohol dependence symptoms in emerging adulthood (r = .13, p < .05; r = .21, p < .01, respectively). Moreover, number of developmental periods was associated with parent alcohol dependence symptoms (r = .14, p < .01).

Table 1. Zero-order correlations among study variables

*p < .05, **p < .01, ***p < .001. W1 represents measurement during the wave 1 assessment period.

Measurement model

Regarding the measurement model, the model evidenced good fit to the data, χ 2(2) = 3.55, RMSEA = .09 (90% CI = .03–.15), CFI = .98, SRMR = .01. With respect to the problematic alcohol use latent factor, binge drinking, drunkenness, hard liquor consumption, and alcohol dependence symptoms each evidenced large and significant factor loadings (λ = .88, λ = .90, λ = .59, and λ = .88, respectively; ps < .001) (See Figure 1).

Structural model

The first structural model evidenced good fit to the data, χ 2(11) = 37.72, RMSEA = .09 (90% CI = .06–.13), CFI = .96, SRMR = .04. Significant path coefficients are depicted in Figure 2. Maltreatment chronicity and maternal alcohol dependence were not significantly associated with emerging adulthood alcohol use (β = −.03, p = .61; β = .10, p = .15). Similarly, the interaction of maltreatment and mother alcohol dependence was not a significant predictor of emerging adult alcohol use (β = −.10, p = .12).

Figure 1. Measurement model.

Figure 2. Structural model without mediators. Note. Dashed lines indicate nonsignificant paths.

The subsequent structural model, testing mediation pathways, evidenced good fit to the data, χ 2(26) = 45.58, RMSEA = .05 (90% CI = .02–.07), CFI = .94, WRMR = .04 and distinct findings from those of the first structural model. Significant path coefficients are depicted in Figure 3. Greater maltreatment chronicity significantly predicted greater childhood conduct problems (β = .17, p < .01) over and above the effect of mother alcohol dependence symptoms (β = .04, p = .58). The interaction of maltreatment and mother alcohol dependence was not a significant predictor of externalizing problems (β = −.06, p = .32). Childhood conduct problems did not predict alcohol use among emerging adult offspring (β = .08, p = .36). Greater maltreatment chronicity significantly predicted greater childhood depressive symptoms (β = .11, p < .05) over and above the effect of mother alcohol dependence symptoms (β = .09, p = .06) and the interaction of maltreatment and mother alcohol dependence (β = −.07, p = .16). Childhood depressive symptoms were not associated with emerging adult alcohol use (β = −.07, p = .30).

Figure 3. Structural model with mediators. Note. Significant paths are bolded. Nonsignificant paths are dashed. Coefficients only included for significant paths. Mother attainment of high school degree or above coded as 1, less than high school degree coded as 0; Male sex coded as 1, female sex coded as 0.

Additionally, greater mother alcohol dependence symptoms predicted greater likelihood of affiliation with substance-abusing peers and siblings (β = .22, p < .01), over and above the effect of maltreatment chronicity (β = .10, p = .12) and the interaction of maltreatment and mother alcohol dependence (β = −.01, p = .95). Moreover, childhood affiliation with substance-using peers and siblings predicted greater alcohol use among emerging adult offspring (β = .26, p < .01). None of the exogenous predictors (i.e., maltreatment chronicity, parent alcohol dependence symptoms, interaction of maltreatment and parent alcohol dependence) had a direct unique association with offspring emerging adult alcohol use (β = −.06, p = .32; β = .08, p = .32; β = −.08, p = .24, respectively). Regarding the mediation pathways tested, significant mediation was observed via the peer affiliation pathway, such that being reared by a mother with greater alcohol dependence symptoms predicted affiliation with peers and siblings engaging in substance use during childhood, which in turn predicted greater emerging adulthood alcohol use (see Table 2 for all indirect effects).

Table 2. Indirect effects

Note. Bolded values indicate statistical significance, α = .05.

With respect to the covariates of interest, mothers’ education level was significantly associated with greater offspring depressive symptoms and peer affiliation (β = −.12, p < .05; β = −.20, p < .01, respectively). Mother’s education level was not associated with offspring conduct problems (β = -.09, p = .11) or offspring alcohol use as emerging adults (β = −.02, p = .73). Males were marginally significantly more likely to exhibit concerning alcohol use in emerging adulthood (β = .13, p = .07) and more likely to exhibit greater conduct problems in childhood (β = .21, p < .001). However, sex was not associated with depressive symptomatology (β = .02, p = .66) or peer affiliation (β = −.01, p = .87). Regarding residual correlations observed among mediators, there was a significant residual correlation between conduct problems and depressive symptoms (β = .32, p < .001), and between conduct problems and affiliation with substance-using peers (β = .46, p < .001). The residual correlation between peer affiliation and depressive symptoms was nonsignificant (β = .12, p = .10).

Discussion

In the present study, we investigated the unique and amplifying effects of exposure to parental alcohol use disorder and exposure to childhood maltreatment on the development of problem drinking in emerging adulthood. We also tested whether childhood externalizing symptoms, internalizing symptoms and affiliation with a substance-using peer network underlie these associated forms of early familial adversity. There were several notable findings of the present study. First, consistent with prior research, we observed multifinality in the effects of chronic maltreatment on offspring development, such that maltreatment leads to multiple forms of maladjustment. Specifically, even in the context of exposure to mother alcohol use disorder, more chronic maltreatment was uniquely associated with greater childhood conduct problems, supported by prior research (e.g., Manly et al., Reference Manly, Kim, Rogosch and Cicchetti2001; Stewart et al., Reference Stewart, Livingston and Dennison2008) and greater depressive symptomatology, aligning with Ethier et al. (Reference Ethier, Lemelin and Lacharité2004).

Our findings that maltreatment uniquely conferred risk for symptomatology can be contextualized through our understanding of the influential role of maltreatment in challenges with emotion regulation, emotional suppression (e.g., Gruhn & Compas, Reference Gruhn and Compas2020), and dysregulated stress response system activity (e.g., McLaughlin et al., Reference McLaughlin, Sheridan and Lambert2014). Difficulties managing emotions and disruptions to normative stress response system activity (e.g., heightened cortisol reactivity) have each been identified as predictors of symptomatology (e.g., Hagan et al., Reference Hagan, Roubinov, Mistler and Luecken2014; Kim & Cicchetti, Reference Kim and Cicchetti2010, respectively), with robust support for these pathways linking maltreatment exposure and behavioral challenges, including externalizing and internalizing symptomatology.

Interestingly, mother alcohol dependence was uniquely associated with greater affiliation with substance-using peers and siblings during childhood, aligning with the prior assertations that substance use among parents decreases the amount of monitoring they provide to adolescents (e.g., Chassin et al., Reference Chassin, Presson, Rose and Sherman1996; Sher et al., Reference Sher, Grekin and Williams2005). Decreased parental monitoring can result in fewer restrictions imposed regarding the types of peers with whom offspring can engage and ultimate promote greater accessibility of substances and heavier use of substances among adolescents (Clark et al., Reference Clark, Shamblen, Ringwalt and Hanley2012; Van der Vorst et al., Reference Van der Vorst, Engels, Meeus and Deković2006).

Mother alcohol dependence was indirectly associated with emerging adult alcohol use via the peer and sibling affiliation pathway, such that exposure to mother AUD predicted greater affiliation with substance-using peers and older siblings in childhood, which in turn predicted greater alcohol use as young adults. However, externalizing and internalizing symptomatology during childhood did not uniquely predict emerging adult alcohol use and did not mediate the effects of either form of adversity. Taken together, when examining maltreatment and mother AUD in tandem, the development of symptomatology appears to be unique to maltreatment exposure, whereas affiliation with substance-using peers and siblings appears to be unique to maternal AUD and acts as a key mechanism in the intergenerational transmission of substance use between mothers and offspring. This mechanistic role aligns with extant research supporting peer affiliation as one of the most robust predictors of substance use in adolescence and emerging adulthood (Cambron et al., Reference Cambron, Kosterman, Catalano, Guttmannova and Hawkins2018; Chassin et al., Reference Chassin, Sher, Hussong and Curran2013; Lee et al., Reference Lee, Padilla-Walker and Memmott-Elison2017). These findings fit within the social learning perspective, such that youth who are affiliated with peer groups and older siblings engaging in and normalizing substance use are more likely to model substance-using and other deviant behaviors. Moreover, engaging in substance use during pre-adolescence and adolescence, which are critical periods for social development, may facilitate group belongingness and acceptance by peers (e.g., Ellis & Wolfe, Reference Ellis and Wolfe2008). Despite our findings of an indirect pathway to offspring development, we observed that maltreatment and mother alcohol dependence did not uniquely directly predict offspring alcohol use in emerging adulthood.

One surprising result was that the interaction of maltreatment and mother AUD was not associated with any pathways of interest, such that neither form of adversity amplified the effect of the other when measured in tandem. This result may be due to the methodology of the current study, as we did not account for the timing of maltreatment relative to mother alcohol dependence symptoms. Specifically, mother alcohol dependence may have temporally preceded, occurred in tandem, or occurred after exposure to maltreatment. Moreover, we know that maltreatment exposure occurred during the child participants’ lifetimes, whereas mother alcohol dependence, evaluated as it pertained to a mother’s lifetime, could have transpired prior to their child’s birth. As such, amplification of these forms of adversity may have been weakened if mother AUD was resolved prior to offspring exposure.

Also counter to expectations, conduct problems did not mediate the effect of either form of adversity on offspring alcohol use. Despite prior research suggesting that externalizing behaviors (e.g., aggression) mediate the association between maltreatment and offspring substance use (e.g., Cicchetti & Handley, Reference Cicchetti and Handley2019; Oshri et al., Reference Oshri, Rogosch, Burnette and Cicchetti2011), we recognize that the experience of conduct problems is associated with engagement in deviant peer groups, as captured by the peer and sibling affiliation pathway. Our results suggest that when considering both mechanisms simultaneously, affiliation with substance-using peers during the school age years is a more salient predictor of later alcohol use problems, relative to conduct problems, during this developmental period.

The smaller effect sizes observed in our model may be a reflection of the complexities of the processes of maltreatment and parent alcohol use exposure. For example, maltreatment represents one of the more complex constructs in the social sciences (Jackson et al., Reference Jackson, McGuire, Tunno and Makanui2019; Warmingham et al., Reference Warmingham, Handley, Rogosch, Manly and Cicchetti2019), making it difficult to capture all of the developmental processes informed by the experience of maltreatment. We investigated the externalizing, internalizing, and peer affiliation pathways given robust empirical support for their roles as mechanisms in the effects of various forms of early adversity (e.g., Chassin et al., Reference Chassin, Sher, Hussong and Curran2013; Cicchetti & Handley, Reference Cicchetti and Handley2019). However, we recognize that alternate pathways may account for some of the effects of maltreatment and parent AUD, informing the effect sizes that we observe in our current model.

Potential confounders of the effects of interest include poverty, which can influence youth socioemotional development and well-being (e.g., Chaudry & Wimer, Reference Chaudry and Wimer2016). However, poverty is a variable that was handled by design of the study, given that all children were experiencing poverty to be included in the sample. We additionally acknowledge that the behavior and functioning (e.g., AUD exposure) of other caregiving figures beyond the mother (e.g., mother’s romantic partner) can be a confounding influence on offspring development. However, the majority of families involved in the research summer camp program were comprised of single-parent households with separate caregivers (e.g., fathers) who were not accessible for contact due to factors including incarceration or abandonment. As such, we did not have consistent data on the behaviors and health history of those individuals.

An additional limitation worth noting is that we used a variable-centered approach, such that the exposure to maltreatment and mother alcohol dependence are measured as discrete, co-occurring categories of adversity. However, we recognize the potential utility of using a person-centered analytic approach to identify naturally occurring constellations and heterogeneous patterns of adverse familial experiences. Despite these limitations, the results of the present study remain meaningful in elucidating unique pathways of risk for individuals exposed to both maltreatment and mother AUD, relative to prior work that captures these experiences in separate models, or as a cumulative adversity measure.

Strengths of the present study include the multi-informant nature of our analyses, including coded CPS records, child self-report, and maternal report assessments. Additionally, this is among the first studies to capture the pathways of risk from exposure to maltreatment and mother AUD simultaneously in a prospective model, given the highly co-occurring nature of these processes (e.g., Appleyard et al., Reference Appleyard, Berlin, Rosanbalm and Dodge2011; Hayre et al., Reference Hayre, Goulter and Moretti2019). We evaluated effects of maltreatment chronicity, rather than subtype, given the assertions of extant research that chronicity, among other characteristics, can provide a richer level of detail regarding the maltreatment experience (e.g., Jackson et al., Reference Jackson, McGuire, Tunno and Makanui2019). Moreover, this study has a large sample size and is longitudinal and prospective in design, such that we capture long-term effects of high-risk adverse experiences following approximately a decade of development.

In conclusion, the present study examined the unique effects of two highly co-occurring experiences of early adversity within the family, maltreatment and mother AUD, on offspring alcohol use in emerging adulthood. Further, we sought to examine the mechanistic roles of youth externalizing and internalizing symptomatology and affiliation with substance-using peers and siblings. We identified distinct effects of maltreatment versus mother AUD, such that maltreatment informs the development of symptomatology over and above the effect of parent AUD. Conversely, being reared by a mother with AUD uniquely predicts affiliation with substance-using peers and older siblings. As such, peer and sibling affiliation was a key mechanism in the intergenerational transmission of substance use, bolstering the findings of prior empirical work asserting the robust mechanistic role of peer affiliation within exposure to parent AUD (e.g., Chassin et al., Reference Chassin, Sher, Hussong and Curran2013; Chuang et al., Reference Chuang, Ennett, Bauman and Foshee2005; Haller et al., Reference Haller, Handley, Chassin and Bountress2010).

With respect to clinical implications of this study, our findings underscore the reality that we should not be combining adversities together (e.g., adverse childhood experiences [ACEs] model; Felitti et al., Reference Felitti, Anda, Nordenberg and Williamson1998). Instead, we should be considering the unique effects of different types of adversity, such that children exposed to maltreatment and children exposed to parental AUD require different mitigation strategies, with children enduring maltreatment receiving interventions focused on symptomatology, whereas children of parental AUD should receive intervention targeting peer group affiliation. In sum, the results of the current study indicate that simultaneous examination of maltreatment and mother AUD is a worthy avenue for increasing our understanding of the complex processes through which childhood adversity confers risk for youth and emerging adults.

References

Allwood, M. A., & Widom, C. S. (2013). Child abuse and neglect, developmental role attainment, and adult arrests. Journal of Research in Crime and Delinquency, 50(4), 551578. https://doi.org/10.1177/0022427812471177 CrossRefGoogle Scholar
Altemus, M., Sarvaiya, N., & Epperson, C. N. (2014). Sex differences in anxiety and depression clinical perspectives. Frontiers in Neuroendocrinology, 35(3), 320330.CrossRefGoogle ScholarPubMed
American Psychiatric Association. Meeting (1994). Continuing Medical Education Syllabus and Scientific Proceedings in Summary Form: Annual Meeting of the American Psychiatric Association, vol. 147. American Psychiatric Association.Google Scholar
Appleyard, K., Berlin, L. J., Rosanbalm, K. D., & Dodge, K. A. (2011). Preventing early child maltreatment: Implications from a longitudinal study of maternal abuse history, substance use problems, and offspring victimization. Prevention Science, 12(2), 139149. https://doi.org/10.1007/s11121-010-0193-2 CrossRefGoogle ScholarPubMed
Augustyn, M. B., Thornberry, T. P., & Henry, K. L. (2019). The reproduction of child maltreatment: An examination of adolescent problem behavior, substance use, and precocious transitions in the link between victimization and perpetration. Development and Psychopathology, 31(1), 5371. https://doi.org/10.1017/S0954579418001633 CrossRefGoogle ScholarPubMed
Bandura, A. (1977). Social learning theory. Prentice Hall. https://doi.org/10.1177/105960117700200317 Google Scholar
Barnett, D., Manly, J. T., & Cicchetti, D. (1993). Defining child maltreatment: The interface between policy and research. In Cicchetti, D., & Toth, S. L. (Eds.), Child abuse, child development, and social policy (pp. 773). Ablex.Google Scholar
Belsky, D. W., Caspi, A., Houts, R., Cohen, H. J., Corcoran, D. L., Danese, A., & Moffitt, T. E. (2015). Quantification of biological aging in young adults. Proceedings of the National Academy of Sciences, 112(30), E4104E4110. https://doi.org/10.1073/pnas.1506264112 CrossRefGoogle ScholarPubMed
Bolger, K. E., & Patterson, C. J. (2001). Developmental pathways from child maltreatment to peer rejection. Child Development, 72(2), 549568. https://doi.org/10.1111/1467-8624.00296 CrossRefGoogle ScholarPubMed
Bountress, K., Chassin, L., & Lemery-Chalfant, K. (2017). Parent and peer influences on emerging adult substance use disorder: A genetically informed study. Development and Psychopathology, 29(1), 121142. https://doi.org/10.1017/S095457941500125X CrossRefGoogle ScholarPubMed
Brown, S. M., Rienks, S., McCrae, J. S., & Watamura, S. E. (2019). The co-occurrence of adverse childhood experiences among children investigated for child maltreatment: A latent class analysis. Child Abuse & Neglect, 87, 1827. https://doi.org/10.1016/j.chiabu.2017.11.010 CrossRefGoogle ScholarPubMed
Brown, S. M., & Shillington, A. M. (2017). Childhood adversity and the risk of substance use and delinquency: The role of protective adult relationships. Child Abuse & Neglect, 63, 211221. https://doi.org/10.1016/j.chiabu.2016.11.006 CrossRefGoogle ScholarPubMed
Cambron, C., Kosterman, R., Catalano, R. F., Guttmannova, K., & Hawkins, J. D. (2018). Neighborhood, family, and peer factors associated with early adolescent smoking and alcohol use. Journal of Youth and Adolescence, 47(2), 369382. https://doi.org/10.1007/s10964-017-0728-y CrossRefGoogle ScholarPubMed
Capaldi, D. M., Tiberio, S. S., Kerr, D. C., & Pears, K. C. (2016). The relationships of parental alcohol versus tobacco and marijuana use with early adolescent onset of alcohol use. Journal of Studies on Alcohol and Drugs, 77(1), 95103. https://doi.org/10.15288/jsad.2016.77.95 CrossRefGoogle ScholarPubMed
Capusan, A. J., Gustafsson, P. A., Kuja-Halkola, R., Igelström, K., Mayo, L. M., & Heilig, M. (2021). Re-examining the link between childhood maltreatment and substance use disorder: A prospective, genetically informative study. Molecular Psychiatry, 26(7), 32013209. https://doi.org/10.1038/s41380-021-01071-8 CrossRefGoogle ScholarPubMed
Carter, A. S., Garrity-Rokous, F. E., Chazan-Cohen, R., Little, C., & Briggs-Gowan, M. J. (2001). Maternal depression and comorbidity: Predicting early parenting, attachment security, and toddler social-emotional problems and competencies. Journal of the American Academy of Child & Adolescent, 40(1), 1826. https://doi.org/10.1097/00004583-200101000-00012 CrossRefGoogle ScholarPubMed
Chassin, L., Colder, C. R., Hussong, A., & Sher, K. J. (2016). Substance use and substance use disorders. In D. Cicchetti (Ed.), Developmental psychopathology: Maladaptation and psychopathology (pp. 833–897). John Wiley & Sons, Inc. https://doi.org/10.1002/9781119125556.devpsy319 CrossRefGoogle Scholar
Chassin, L., Haller, M., Lee, M. R., Handley, E., Bountress, K., & Beltran, I. (2016). Familial factors influencing offspring substance use and dependence. In Ed., K. J. Sher, & he, T. (Eds.), Oxford handbook of substance use and substance use disorders (pp. 449482). Oxford University Press.Google Scholar
Chassin, L., & Handley, E. D. (2006). Parents and families as contexts for the development of substance use and substance use disorders. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive, 20(2), 135142. https://doi.org/10.1037/0893-164X.20.2.135 CrossRefGoogle ScholarPubMed
Chassin, L., Hussong, A. M., Rothenberg, W. A., & Sternberg, A. (2019). Parenting and substance use disorder. Handbook of Parenting, 483516.CrossRefGoogle Scholar
Chassin, L., Pitts, S. C., DeLucia, C., & Todd, M. (1999). A longitudinal study of children of alcoholics: Predicting young adult substance use disorders, anxiety, and depression. Journal of Abnormal Psychology, 106(1), 106119. https://doi.org/10.1037//0021-843x.108.1.106 CrossRefGoogle Scholar
Chassin, L., Presson, C. C., Rose, J. S., & Sherman, S. J. (1996). The natural history of cigarette smoking from adolescence to adulthood: Demographic predictors of continuity and change. Health Psychology, 15(6), 478484. https://doi.org/10.1037/0278-6133.15.6.478 CrossRefGoogle ScholarPubMed
Chassin, L., Sher, K., Hussong, A., & Curran, P. (2013). The developmental psychopathology of alcohol use and alcohol disorders: Research achievements and future directions. Development and Psychopathology, 25(4pt2), 15671584. https://doi.org/10.1017/S0954579413000771 CrossRefGoogle ScholarPubMed
Chaudry, A., & Wimer, C. (2016). Poverty is not just an indicator: the relationship between income, poverty, and child well-being. Academic Pediatrics, 16(3), S23S29.CrossRefGoogle ScholarPubMed
Chen, X., Chang, L., He, Y., & Liu, H. (2005). The peer group as a context: Moderating effects on relations between maternal parenting and social and school adjustment in Chinese children. Child Development, 76(2), 417434. https://doi.org/10.1111/j.1467-8624.2005.00854.x CrossRefGoogle ScholarPubMed
Chuang, Y. C., Ennett, S. T., Bauman, K. E., & Foshee, V. A. (2005). Neighborhood influences on adolescent cigarette and alcohol use: Mediating effects through parent and peer behaviors. Journal of Health and Social Behavior, 46(2), 187204. https://doi.org/10.1177/002214650504600205 CrossRefGoogle ScholarPubMed
Cicchetti, D., & Handley, E. D. (2019). Child maltreatment and the development of substance use and disorder. Neurobiology of Stress, 10, 100144. https://doi.org/10.1016/j.ynstr.2018.100144 CrossRefGoogle ScholarPubMed
Cicchetti, D., & Rogosch, F. A. (1999). Psychopathology as risk for adolescent substance use disorders: A developmental psychopathology perspective. Journal of Clinical Child Psychology, 28(3), 355365. https://doi.org/10.1207/S15374424jccp280308 CrossRefGoogle ScholarPubMed
Cicchetti, D., & Toth, S. L. (2016). Child maltreatment and developmental psychopathology: A multilevel perspective. Developmental Psychopathology: Maladaptation and Psychopathology, 3, 457512. https://doi.org/10.1002/9781119125556.devpsy311 Google Scholar
Clark, H. K., Shamblen, S. R., Ringwalt, C. L., & Hanley, S. (2012). Predicting high risk adolescents’ substance use over time: The role of parental monitoring. The Journal of Primary Prevention, 33, 6777. https://doi.org/10.1007/s10935-012-0266-z.CrossRefGoogle ScholarPubMed
Diggs, O. N., & Neppl, T. K. (2018). The influence of economic pressure on emerging adult binge drinking: Testing the family stress model over time. Journal of Youth and Adolescence, 47(11), 24812495. https://doi.org/10.1007/s10964-018-0923-5 CrossRefGoogle ScholarPubMed
Dodge, K. A., Pettit, G. S., & Bates, J. E. (1994). Socialization mediators of the relation between socioeconomic status and child conduct problems. Child Development, 65(2), 649665.CrossRefGoogle ScholarPubMed
Dube, S. R., Felitti, V. J., Dong, M., Chapman, D. P., Giles, W. H., & Anda, R. F. (2003). Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: The adverse childhood experiences study. Pediatrics, 111(3), 564572. https://doi.org/10.1001/jama.286.24.3089 CrossRefGoogle ScholarPubMed
Dube, S. R., Miller, J. W., Brown, D. W., Giles, W. H., Felitti, V. J., Dong, M., & Anda, R. F. (2006). Adverse childhood experiences and the association with ever using alcohol and initiating alcohol use during adolescence. Journal of Adolescent Health, 38(4), 444e1. https://doi.org/10.1016/j.jadohealth.2005.06.006 CrossRefGoogle ScholarPubMed
Elliott, J. C., Stohl, M., Wall, M. M., Keyes, K. M., Goodwin, R. D., Skodol, A. E., & Hasin, D. S. (2014). The risk for persistent adult alcohol and nicotine dependence: The role of childhood maltreatment. Addiction, 109(5), 842850. https://doi.org/10.1111/add.12477 CrossRefGoogle ScholarPubMed
Ellis, W. E., & Wolfe, D. A. (2009). Understanding the association between maltreatment history and adolescent risk behavior by examining popularity motivations and peer group control. Journal of Youth and Adolescence, 38(9), 12531263. https://doi.org/10.1007/s10964-008-9318-3 CrossRefGoogle ScholarPubMed
Ethier, L. S., Lemelin, J. P., & Lacharité, C. (2004). A longitudinal study of the effects of chronic maltreatment on children’s behavioral and emotional problems. Child Abuse & Neglect, 28(12), 12651278. https://doi.org/10.1016/j.chiabu.2004.07.006 CrossRefGoogle ScholarPubMed
Felitti, V. J., Anda, R. F., Nordenberg, D., & Williamson, D. F. (1998). Adverse childhood experiences and health outcomes in adults: The Ace study. Journal of Family and Consumer Sciences, 90(3), 31258. https://doi.org/10.1016/s0749-3797(98)00017-8 Google Scholar
Fettes, D. L., Aarons, G. A., & Green, A. E. (2013). Higher rates of adolescent substance use in child welfare versus community populations in the United States. Journal of Studies on Alcohol and Drugs, 74(6), 825834. https://doi.org/10.15288/jsad.2013.74.825 CrossRefGoogle ScholarPubMed
Grogan-Kaylor, A., Ruffolo, M. C., Ortega, R. M., & Clarke, J. (2008). Behaviors of youth involved in the child welfare system. Child Abuse & Neglect, 32(1), 3549. https://doi.org/10.1016/j.chiabu.2007.09.004 CrossRefGoogle ScholarPubMed
Gruhn, M. A., & Compas, B. E. (2020). Effects of maltreatment on coping and emotion regulation in childhood and adolescence: A meta-analytic review. Child Abuse & Neglect, 103, 104446. https://doi.org/10.1016/j.chiabu.2020.104446 CrossRefGoogle ScholarPubMed
Hagan, M. J., Roubinov, D. S., Mistler, A. K., & Luecken, L. J. (2014). Mental health outcomes in emerging adults exposed to childhood maltreatment: The moderating role of stress reactivity. Child Maltreatment, 19(3-4), 156167. https://doi.org/10.1177/1077559514539753 CrossRefGoogle ScholarPubMed
Haller, M., Handley, E., Chassin, L., & Bountress, K. (2010). Developmental cascades: Linking adolescent substance use, affiliation with substance use promoting peers, and academic achievement to adult substance use disorders. Development and Psychopathology, 22(4), 899916. https://doi.org/10.1017/S0954579410000532 CrossRefGoogle ScholarPubMed
Handley, E. D., & Chassin, L. (2013). Alcohol-specific parenting as a mechanism of parental drinking and alcohol use disorder risk on adolescent alcohol use onset. Journal of Studies on Alcohol and Drugs, 74(5), 684693. https://doi.org/10.15288/jsad.2013.74.684 CrossRefGoogle ScholarPubMed
Handley, E. D., Rogosch, F. A., & Cicchetti, D. (2017). From child maltreatment to emerging adult problem drinking: Identification of a multilevel internalizing pathway among African American youth. Development and Psychopathology, 29(5), 18071821. https://doi.org/10.1017/S0954579417001419 CrossRefGoogle ScholarPubMed
Handley, E. D., Rogosch, F. A., Guild, D. J., & Cicchetti, D. (2015). Neighborhood disadvantage and adolescent substance use disorder: The moderating role of maltreatment. Child Maltreatment, 20(3), 193202. https://doi.org/10.1177/1077559515584159 CrossRefGoogle ScholarPubMed
Hayre, R. S., Goulter, N., & Moretti, M. M. (2019). Maltreatment, attachment, and substance use in adolescence: Direct and indirect pathways. Addictive Behaviors, 90, 196203. https://doi.org/10.1016/j.addbeh.2018.10.049 CrossRefGoogle ScholarPubMed
Heerde, J. A., Bailey, J. A., Toumbourou, J. W., & Catalano, R. F. (2019). Longitudinal associations between the adolescent family environment and young adult substance use in Australia and the United States. Frontiers in Psychiatry, 10, 821. https://doi.org/10.3389/fpsyt.2019.00821.CrossRefGoogle Scholar
Henry, K. L., & Augustyn, M. B. (2017). Intergenerational continuity in cannabis use: The role of parent’s early onset and lifetime disorder on child’s early onset. Journal of Adolescent Health, 60(1), 8792. https://doi.org/10.1016/j.jadohealth.2016.09.005 CrossRefGoogle ScholarPubMed
Hoffmann, J. P., & Cerbone, F. G. (2002). Parental substance use disorder and the risk of adolescent drug abuse: An event history analysis. Drug and Alcohol Dependence, 66(3), 255264. https://doi.org/10.1016/s0376-8716(02)00005-4 CrossRefGoogle ScholarPubMed
Hoffmann, J. P., Cerbone, F. G., & Su, S. S. (2000). A growth curve analysis of stress and adolescent drug use. Substance Use & Misuse, 35(5), 687716. https://doi.org/10.3109/10826080009148417 CrossRefGoogle ScholarPubMed
Hser, Y. I., Lanza, H. I., Li, L., Kahn, E., Evans, E., & Schulte, M. (2015). Maternal mental health and children’s internalizing and externalizing behaviors: Beyond maternal substance use disorders. Journal of Child and Family Studies, 24(3), 638648. https://doi.org/10.1007/s10826-013-9874-3 CrossRefGoogle ScholarPubMed
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 155. https://doi.org/10.1080/10705519909540118 CrossRefGoogle Scholar
Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., Jones, L., & Dunne, M. P. (2017). The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. The Lancet. Public Health, 2(8), e356e366. https://doi.org/10.1016/S2468-2667(17)30118-4 CrossRefGoogle Scholar
Hussong, A. M., Jones, D. J., Stein, G. L., Baucom, D. H., & Boeding, S. (2011). An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors, 25(3), 390404. https://doi.org/10.1037/a0024519 CrossRefGoogle ScholarPubMed
Hussong, A. M., & Smith, R. K. (2018). Parent-based models of adolescent substance use: A global perspective. In Lansford, J. E., & Banati, P. (Eds.), Handbook of adolescent development research and its impact on global policy (pp. 280295). Oxford University Press. https://doi.org/10.1093/oso/9780190847128.003.0014 Google Scholar
Ialongo, N. S., Rogosch, F. A., Cicchetti, D., Toth, S. L., Buckley, J. & Petras, H., et al. (2006). A developmental psychopathology approach to the prevention of mental health disorders. In Cicchetti, D., & Cohen, D. (Eds.), Developmental psychopathology: Theory and method (vol. 1, 2nd ed. pp. 9681019). Wiley. https://doi.org/10.1002/9780470939383.ch24 Google Scholar
Jackson, Y., McGuire, A., Tunno, A. M., & Makanui, P. K. (2019). A reasonably large review of operationalization in child maltreatment research: Assessment approaches and sources of information in youth samples. Child Abuse & Neglect, 87, 517. https://doi.org/10.1016/j.chiabu.2018.09.016 CrossRefGoogle ScholarPubMed
Jester, J. M., Wong, M. M., Cranford, J. A., Buu, A., Fitzgerald, H. E., & Zucker, R. A. (2015). Alcohol expectancies in childhood: Change with the onset of drinking and ability to predict adolescent drunkenness and binge drinking. Addiction, 110(1), 7179. https://doi.org/10.1111/add.12704 CrossRefGoogle ScholarPubMed
Jonson-Reid, M., Kohl, P. L., & Drake, B. (2012). Child and adult outcomes of chronic child maltreatment. Pediatrics, 129(5), 839845. https://doi.org/10.1542/peds.2011-2529 CrossRefGoogle ScholarPubMed
Kaplow, J. B., Curran, P. J., Angold, A., & Costello, E. J. (2001). The prospective relation between dimensions of anxiety and the initiation of adolescent alcohol use. Journal of Clinical Child & Adolescent Psychology, 30(3), 316326. https://doi.org/10.1207/S15374424JCCP3003_4 CrossRefGoogle ScholarPubMed
Kelly, A. B., Chan, G. C., Toumbourou, J. W., O’Flaherty, M., Homel, R., Patton, G. C., & Williams, J. (2012). Very young adolescents and alcohol: Evidence of a unique susceptibility to peer alcohol use. Addictive Behaviors, 37(4), 414419.CrossRefGoogle ScholarPubMed
Kessler, R. C., McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., Aguilar-Gaxiola, S., Alhamzawi, A. O., Alonso, J., Angermeyer, M., Benjet, C., Bromet, E., Chatterji, S., de Girolamo, G., Demyttenaere, K., Fayyad, J., Florescu, S., Gal, G., Gureje, O.,…, Williams, D. R., (2010). Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. The British Journal of Psychiatry: The Journal of Mental Science, 197(5), 378385. https://doi.org/10.1192/bjp.bp.110.080499 CrossRefGoogle ScholarPubMed
Kiesner, J., Poulin, F., & Dishion, T. J. (2010). Adolescent substance use with friends: Moderating and mediating effects of parental monitoring and peer activity contexts. Merrill-Palmer Quarterly (Wayne State University Press), 56(4), 529556. https://doi.org/10.1353/mpq.2010.0002 CrossRefGoogle ScholarPubMed
Kim, J., & Cicchetti, D. (2010). Longitudinal pathways linking child maltreatment, emotion regulation, peer relations, and psychopathology. Journal of Child Psychology and Psychiatry, 51(6), 706716. https://doi.org/10.1111/j.1469-7610.2009.02202.x CrossRefGoogle ScholarPubMed
King, K. M., & Chassin, L. (2008). Adolescent stressors, psychopathology, and young adult substance dependence: A prospective study. Journal of Studies on Alcohol and Drugs, 69(5), 629638. https://doi.org/10.15288/jsad.2008.69.629 CrossRefGoogle Scholar
Knight, K. E., Menard, S., & Simmons, S. B. (2014). Intergenerational continuity of substance use. Substance Use & Misuse, 49(3), 221233. https://doi.org/10.3109/10826084.2013.824478 CrossRefGoogle ScholarPubMed
Kovacs, M. (1982). The Children’s Depression Inventory: A self-rated depression scale for schoolaged youngsters. Unpublished manuscript, University of Pittsburgh.Google Scholar
Lansford, J. E., Dodge, K. A., Pettit, G. S., & Bates, J. E. (2010). Does physical abuse in early childhood predict substance use in adolescence and early adulthood? Child Maltreatment, 15(2), 190194. https://doi.org/10.1177/1077559509352359 CrossRefGoogle ScholarPubMed
Lee, C. T., Padilla-Walker, L. M., & Memmott-Elison, M. K. (2017). The role of parents and peers on adolescents’ prosocial behavior and substance use. Journal of Social and Personal Relationships, 34(7), 10531069. https://doi.org/10.1177/0265407516665928 CrossRefGoogle Scholar
Loeber, R., DeLamatre, M., Keenan, K., & Zhang, Q. (1998). A prospective replication of developmental pathways in disruptive and delinquent behavior. In Cairns, R., Bergman, L., & Kagan, J. (Eds.), Methods and models for studying the individual (pp. 185215). Sage.Google Scholar
Macaulay, A. P., Griffin, K. W., Gronewold, E., Williams, C., & Botvin, G. J. (2005). Parenting practices and adolescent drug-related knowledge, attitudes, norms and behavior. Journal of Alcohol and Drug Education, 49, 6783.Google Scholar
Manly, J. T. (2005). Advances in research definitions of child maltreatment. Child Abuse & Neglect, 29(5), 425439. https://doi.org/10.1016/j.chiabu.2005.04.001 CrossRefGoogle Scholar
Manly, J. T., Kim, J. E., Rogosch, F. A., & Cicchetti, D. (2001). Dimensions of child maltreatment and children’s adjustment: Contributions of developmental timing and subtype. Development and Psychopathology, 13(4), 759782.CrossRefGoogle ScholarPubMed
Mayes, S. D., Castagna, P. J., & Waschbusch, D. A. (2020). Sex differences in externalizing and internalizing symptoms in ADHD, autism, and general population samples. Journal of Psychopathology and Behavioral Assessment, 42, 519526.CrossRefGoogle Scholar
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014). Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience. Neuroscience & Biobehavioral Reviews, 47, 578591. https://doi.org/10.1016/j.neubiorev.2014.10.012 CrossRefGoogle ScholarPubMed
Menary, K. R., Corbin, W. R., & Chassin, L. (2017). Associations between early internalizing symptoms and speed of transition through stages of alcohol involvement. Development and Psychopathology, 29(4), 14551467. https://doi.org/10.1017/S0954579417000384 CrossRefGoogle ScholarPubMed
Mezquita, L., Ibánez, M. I., Moya, J., Villa, H., & Ortet, G. (2014). A longitudinal examination of different etiological pathways to alcohol use and misuse. Alcoholism: Clinical and Experimental Research, 38(6), 17701779. https://doi.org/10.1111/acer.12419 CrossRefGoogle ScholarPubMed
Muthén, B., & Muthén, L. (2017). Mplus. In Handbook of item response theory. Chapman and Hall/CRC.Google Scholar
Olsen, A. (2015). Punishing parents: Child removal in the context of drug use. Drug and Alcohol Review, 34(1), 2730. https://doi.org/10.1111/dar.12219 CrossRefGoogle ScholarPubMed
Oshri, A., Rogosch, F. A., Burnette, M. L., & Cicchetti, D. (2011). Developmental pathways to adolescent cannabis abuse and dependence: Child maltreatment, emerging personality, and internalizing versus externalizing psychopathology. Psychology of Addictive Behaviors, 25(4), 634644. https://doi.org/10.1037/a0023151 CrossRefGoogle ScholarPubMed
Park, J. M., Solomon, P., & Mandell, D. S. (2006). Involvement in the child welfare system among mothers with serious mental illness. Psychiatric Services, 57(4), 493497. https://doi.org/10.1176/ps.2006.57.4.493 CrossRefGoogle ScholarPubMed
Pesola, F., Shelton, K. H., Heron, J., Munafò, M., Hickman, M., & van den Bree, M. B. (2015). The developmental relationship between depressive symptoms in adolescence and harmful drinking in emerging adulthood: The role of peers and parents. Journal of Youth and Adolescence, 44(9), 17521766. https://doi.org/10.1007/s10964-015-0295-z CrossRefGoogle ScholarPubMed
Renner, L. M., & Slack, K. S. (2006). Intimate partner violence and child maltreatment: Understanding intra-and intergenerational connections. Child Abuse & Neglect, 30(6), 599617. https://doi.org/10.1016/j.chiabu.2005.12.005 CrossRefGoogle ScholarPubMed
Robins, L. N., Cottler, L. B., Bucholz, K., & Compton, W. (1995). NIMH diagnostic interview schedule, version IV. Washington School of Medicine.Google Scholar
Rogers, C. J., Pakdaman, S., Forster, M., Sussman, S., Grigsby, T. J., Victoria, J., & Unger, J. B. (2022). Effects of multiple adverse childhood experiences on substance use in young adults: A review of the literature. Drug and Alcohol Dependence, 234, 109407. https://doi.org/10.1016/j.drugalcdep.2022.109407 CrossRefGoogle ScholarPubMed
Rogosch, F. A., Oshri, A., & Cicchetti, D. (2010). From child maltreatment to adolescent cannabis abuse and dependence: A developmental cascade. Psychology of Addictive Behaviors, 22(4), 883897. https://doi.org/10.1037/a0023151 Google ScholarPubMed
Russotti, J., Font, S. A., Toth, S. L., & Noll, J. G. (2022). Developmental pathways from child maltreatment to adolescent pregnancy: A multiple mediational model. Development and Psychopathology, 35(1), 115. https://doi.org/10.1017/S0954579421001395 Google ScholarPubMed
Russotti, J., Warmingham, J. M., Handley, E. D., Rogosch, F. A., & Cicchetti, D. (2021). Child maltreatment: An intergenerational cascades model of risk processes potentiating child psychopathology. Child Abuse & Neglect, 112, 104829. https://doi.org/10.1016/j.chiabu.2020.104829 CrossRefGoogle ScholarPubMed
Ryan, J. P., & Testa, M. F. (2005). Child maltreatment and juvenile delinquency: Investigating the role of placement and placement instability. Children and Youth Services Review, 27(3), 227249. https://doi.org/10.1016/j.childyouth.2004.05.007 CrossRefGoogle Scholar
Ryan, R. M., Mendle, J., & Markowitz, A. J. (2015). Early childhood maltreatment and girls' sexual behavior: The mediating role of pubertal timing. Journal of Adolescent Health, 57(3), 342347. https://doi.org/10.1016/j.jadohealth.2015.06.005 CrossRefGoogle ScholarPubMed
Salzinger, S., Rosario, M., & Feldman, R. S. (2007). Physical child abuse and adolescent violent delinquency: The mediating and moderating roles of personal relationships. Child Maltreatment, 12(3), 208219. https://doi.org/10.1177/1077559507301839 CrossRefGoogle ScholarPubMed
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147177.CrossRefGoogle ScholarPubMed
Seay, K. (2015). How many families in child welfare services are affected by parental substance use disorders? A common question that remains unanswered. Child Welfare, 94(4), 1951.Google ScholarPubMed
Sellers, R., Collishaw, S., Rice, F., Thapar, A. K., Potter, R., Mars, B., & Thapar, A. (2013). Risk of psychopathology in adolescent offspring of mothers with psychopathology and recurrent depression. The British Journal of Psychiatry, 202(2), 108114. https://doi.org/10.1192/bjp.bp.111.104984 CrossRefGoogle ScholarPubMed
Sher, K. J. (1993). Questionnaire from the Alcohol, Health, and Behavior Study. Unpublished manuscript. University of Missouri-Columbia, Columbia, MO.Google Scholar
Sher, K. J., Grekin, E. R., & Williams, N. A. (2005). The development of alcohol use disorders. Annual Review of Clinical Psychology, 1(1), 493523. https://doi.org/10.1146/annurev.clinpsy.1.102803.144107 CrossRefGoogle ScholarPubMed
Shin, S. H., Miller, D. P., & Teicher, M. H. (2013). Exposure to childhood neglect and physical abuse and developmental trajectories of heavy episodic drinking from early adolescence into young adulthood. Drug and Alcohol Dependence, 127(1-3), 3138. https://doi.org/10.1016/j.drugalcdep.2012.06.005 CrossRefGoogle ScholarPubMed
Smith, D. K., Johnson, A. B., Pears, K. C., Fisher, P. A., & DeGarmo, D. S. (2007). Child maltreatment and foster care: Unpacking the effects of prenatal and postnatal parental substance use. Child Maltreatment, 12(2), 150160. https://doi.org/10.1177/1077559507300129 CrossRefGoogle ScholarPubMed
Smith, V. C., & Wilson, C. R. (2016). Committee on substance use and prevention. Families affected by parental substance use. Pediatrics, 138(2), e20161575.CrossRefGoogle ScholarPubMed
Stein, J. A., Leslie, M. B., & Nyamathi, A. (2002). Relative contributions of parent substance use and childhood maltreatment to chronic homelessness, depression, and substance abuse problems among homeless women: Mediating roles of self-esteem and abuse in adulthood. Child Abuse & Neglect, 26(10), 10111027. https://doi.org/10.1016/s0145-2134(02)00382-4 CrossRefGoogle ScholarPubMed
Stewart, A., Livingston, M., & Dennison, S. (2008). Transitions and turning points: Examining the links between child maltreatment and juvenile offending. Child Abuse & Neglect, 32(1), 5166. https://doi.org/10.1016/j.chiabu.2007.04.011 CrossRefGoogle ScholarPubMed
Straussner, S., & Fewell, C. (2015). Children of parents who abuse alcohol and other drugs. In Reupert, A., Maybery, D., Nicholson, J., Göpfert, M., & Seeman, M. V. (Eds.), Parental psychiatric disorder: Distressed parents and their families (pp. 138153). Cambridge University Press. https://doi.org/10.1017/CBO9781107707559.015 CrossRefGoogle Scholar
Straussner, S. L., & Fewell, C. H. (2018). A review of recent literature on the impact of parental substance use disorders on children and the provision of effective services. Current Opinion in Psychiatry, 31(4), 363367. https://doi.org/10.1097/YCO.0000000000000421 CrossRefGoogle ScholarPubMed
Thompson, K., Stockwell, T., Leadbeater, B., & Homel, J. (2014). Association among different measures of alcohol use across adolescence and emerging adulthood. Addiction, 109(6), 894903. https://doi.org/10.1111/add.12499 CrossRefGoogle ScholarPubMed
Thrane, L. E., Hoyt, D. R., Whitbeck, L. B., & Yoder, K. A. (2006). Impact of family abuse on running away, deviance, and street victimization among homeless rural and urban youth. Child Abuse & Neglect, 30(10), 11171128. https://doi.org/10.1016/j.chiabu.2006.03.008 CrossRefGoogle ScholarPubMed
Tofighi, D., & MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43(3), 692700. https://doi.org/10.3758/s13428-011-0076-x CrossRefGoogle Scholar
Tyler, K. A., & Bersani, B. E. (2008). A longitudinal study of early adolescent precursors to running away. The Journal of Early Adolescence, 28(2), 230251. https://doi.org/10.1177/0272431607313592 CrossRefGoogle Scholar
U.S. Department of Health & Human Services, Adminstration for Children and Families, Administration on Children, Youth, and Families, C. B (2021). Child maltreatment 2019. U.S. Department of Health & Human Services.Google Scholar
Van der Vorst, H., Engels, R. C., Meeus, W., & Deković, M. (2006). Parental attachment, parental control, and early development of alcohol use: A longitudinal study. Psychology of Addictive Behaviors, 20(2), 107116. https://doi.org/10.1037/0893-164X.20.2.107 CrossRefGoogle ScholarPubMed
Wade, T., & Pevalin, D. (2005). Adolescent delinquency and health. Canadian Journal of Criminology and Criminal Justice, 47(4), 619654. https://doi.org/10.3138/cjccj.47.4.619 CrossRefGoogle Scholar
Wall, A. E., & Kohl, P. L. (2007). Substance use in maltreated youth: Findings from the national survey of child and adolescent well-being. Child Maltreatment, 12(1), 2030. https://doi.org/10.1177/1077559506296316 CrossRefGoogle ScholarPubMed
Warmingham, J. M., Handley, E. D., Rogosch, F. A., Manly, J. T., & Cicchetti, D. (2019). Identifying maltreatment subgroups with patterns of maltreatment subtype and chronicity: A latent class analysis approach. Child Abuse & Neglect, 87, 2839.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Zero-order correlations among study variables

Figure 1

Figure 1. Measurement model.

Figure 2

Figure 2. Structural model without mediators. Note. Dashed lines indicate nonsignificant paths.

Figure 3

Figure 3. Structural model with mediators. Note. Significant paths are bolded. Nonsignificant paths are dashed. Coefficients only included for significant paths. Mother attainment of high school degree or above coded as 1, less than high school degree coded as 0; Male sex coded as 1, female sex coded as 0.

Figure 4

Table 2. Indirect effects