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. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: J Anxiety Disord. 2011 Mar 15;25(5):690–696. doi: 10.1016/j.janxdis.2011.03.005

CBT for childhood anxiety and substance use at 7.4-year follow-up: A reassessment controlling for known predictors

Connor Morrow Puleo 1,*, Bradley T Conner 1, Courtney L Benjamin 1, Philip C Kendall 1
PMCID: PMC3089677  NIHMSID: NIHMS282536  PMID: 21497052

Abstract

A previous report suggested that successful cognitive behavioral therapy (CBT) for child anxiety reduced substance use problems at 7.4-year follow-up, but that report did not include predictors of: (a) substance use disorder (SUD; e.g., attention deficit-hyperactivity disorder symptoms, negative life events, family substance abuse, additional treatment), or (b) treatment outcome (e.g., severity of internalizing pathology, age). Analyses incorporating these factors tested previously reported findings in 72 participants (ages 15–22 at follow-up; 84% of the 7.4-year follow-up sample), using parent and youth diagnostic interviews and report measures. The majority of previously reported associations between less successful treatment and later substance use problems remained significant after controlling for known predictors of SUD and treatment outcome. Our findings bolster previous conclusions that effective CBT for child anxiety may have ameliorative effects on the target disorder and later substance use problems.

Keywords: Cognitive-behavioral therapy, child, adolescent, anxiety disorder, substance abuse

1. Introduction

Childhood anxiety disorders are associated with strained peer and interpersonal relationships, academic difficulties, and reduced psychological wellbeing (Verduin & Kendall, 2008; Costello, Egger & Angold, 2004). They are common, affecting approximately 18% of children (Kessler, Chiu, Demler, & Walters, 2005) and unlikely to remit without treatment (Pine, Cohen, Gurley, Brook, & Ma, 1998). Rather, the detriments of child anxiety are both immediate and prolonged. In addition to disrupting early functioning, childhood anxiety is a significant risk factor for later negative sequelae, such as substance use disorders (SUDs; Pine et al., 1998; Kaplow, Curran, Angold, & Costello, 2001). Research suggests that childhood anxiety disorders typically precede the onset of SUDs (Merikangas et al., 1998), a primacy that is compelling given the high lifetime co-occurrence of these disorders (35% to 45%; Kessler et al., 1996) and the deleterious outcomes associated with SUDs (Toumbourou et al., 2007).

Cognitive behavioral therapy (CBT) for anxiety in youth is an efficacious treatment (Silverman, Pina, & Viswesvaran, 2008) with enduring effects (Glantz et al., 2007; Kendall & Kessler, 2002; Kessler et al., 2007). A previous randomized clinical trial (RCT) of CBT for child anxiety reported that treatment responders (i.e. those whose anxiety diagnoses were either (a) no longer present or (b) no longer the principal diagnosis following treatment) had reduced substance use and fewer associated problems compared to treatment non-responders at 7.4-year follow-up (Kendall, Safford, Flannery-Schroeder & Webb, 2004). Compared to responders, non-responders drank more days per month, were more likely to have unwanted social, physical/psychological consequences from drug use, gave up more activities due to drug use, used larger amounts of drugs, and made more unsuccessful attempts to control their use. Substance dependence is often viewed as chronic, requiring long-term treatment (McLellan, Lewis, O’Brien, & Kleber, 2000). Thus, the claim that CBT for child anxiety may mitigate later substance use, which may in turn lower the risk of SUDs, requires re-examination.

The findings of Kendall and colleagues (2004) did not take into account important predictors of SUDs, such as inattention and impulsivity-hyperactivity, perceived negative life events, and family history of substance abuse. Research supports externalizing behavior and a family history of substance abuse as risk factors for later substance problems (Reinherz et al., 2000; Kendler, Davis, & Kessler, 1997). Attention deficit hyperactivity disorder (ADHD) often predates adolescent substance use (Wilens, et al., 1997). Likewise, increased negative life events have predicted SUDs even when controlling for other critical contributing factors such as genetic vulnerability (Conner, Hellemann, Ritchie, & Noble, 2009; Wills, Vacaro, & McNamara, 1992). Given these associations, it is unclear if the increased substance use of non-responders versus responders reported previously (Kendall et al., 2004) is attributable to their poor CBT treatment outcomes or to these other SUD risk factors.

Approximately 30–45% of children treated with CBT continue to meet diagnostic criteria for an anxiety disorder following treatment (Cartwright-Hatton et al., 2004). Older child age and greater internalizing pathology, but not diagnostic comorbidity, have been associated with poorer treatment outcomes (Rapee, 2003; Southam-Gerow, Kendall & Weersing, 2001; Crawford & Manassis, 2001). Given that internalizing symptoms are also related to increased SUD risk (King, Iacono, & McGue, 2004), it seems plausible that the association between poor treatment response and later substance misuse may be a spurious association resulting from the association of internalizing symptoms with both these outcomes. Similarly, child age might account for both a child’s treatment response and later substance use given that older youth are speculated to have a more chronic or developmentally “non-normative” anxiety (Southam-Gerow, et al., 2001) that might also increase their risk for SUDs.

The present study tested whether previously reported associations between differential CBT outcomes and substance use at 7.4-year follow-up would hold after (a) controlling for predictors of SUDs (i.e., ADHD symptoms, negative life events, family substance abuse history), and (b) controlling for predictors of CBT outcome (internalizing pathology, older age). The receipt of additional treatment between the post and 7.4-year follow-up assessment was also included as a novel control variable. Additional treatment may reflect the child’s exposure to factors related to increased SUD risk, such as life stressors or emerging child or family psychopathology, or serve as a protective factor against such risk. We hypothesized that previously reported findings would be strengthened by the inclusion of these control variables.

2. Methods

The present data set, consistent with the initial report, was from prior studies: an earlier 7.4-year follow-up (Kendall et al., 2004) and the original randomized clinical trial (RCT; Kendall et al., 1997). Ninety-four youth (62% male), ages 9–13 years (M = 11 ± 1.34) at treatment), presented for initial intake at an outpatient child anxiety clinic and met criteria for a principal diagnosis of social phobia (n = 17; formerly avoidant disorder), separation anxiety disorder (n = 22), or generalized anxiety disorder (n = 55; formerly overanxious disorder). Children were excluded from the initial sample if they displayed psychotic symptoms and/or if they were taking antianxiety or antidepressent medications.

Sample demographic, diagnostic, and substance use characteristics are summarized in Table 1. Principal diagnoses were assigned via structured interviews administered separately to parents and child. Seventy-two of 94 original participants provided the necessary information at intake and completed substance use assessments at 7.4-year follow-up. There were no significant differences in treatment response, referral source, child age, or child ethnicity for those who did versus did not participate in the long term follow-up. However, nonparticipating children were more likely to be male and from a lower income bracket (Kendall et al., 2004).

Table 1.

Demographic and Diagnostic
Characteristics
% (N = 72) Substance Use Characteristics % (N = 72)
Race Alcohol
    Caucasian 85% (62)     Tried 81% (58)
    African-American 6% (4)     Regular Use** 46% (33)
    Asian 3% (2) Tobacco
    Self-identified as "Other" 6% (4)     Tried 59% (42)
Family Income     Regular Use** 31% (22)
    Below $20,000 5% (3) Marijuana
    $20,001- $39,999 28% (20)     Tried 39% (28)
    $40,000 - $59,999 33% (24)     Regular Use** 22% (16)
    $60,000 - $79,999 25% (18) Narcotics
    Above $80,000 9% (6)     Tried 16% (12)
Principle Diagnoses at Pretreatment     Regular Use** 5% (4)
    GAD 63% (45)
Current/Past Substance Abuse
    Social Phobia 17% (12) Disorder 19% (14)
Past Substance Dependence
    SAD 20% (15) Disorder 5% (4)
Comorbid Diagnoses at Pretreatment Negative Consequences
    Specific Phobia 48% (34) Related to Substance Use 22% (16)
    ADHD 14% (10) Mean Drinking Days per Month (SD)
    ODD 8% (6)
Principle Diagnosis No Longer
    Mood Disorder 14% (10) Present 2.00 (4.51)
    Additional Therapy after Principle Diagnosis Still
    Treatment 48% (34) Present 6.67 (9.51)
M = 19.16 (SD = 1.69)
    Child Age 7.4-year
    Follow-Up*
(Range 15 – 22
years)
Principle Diagnosis Still
Principle
8.33 (11.33)

GAD = Generalized Anxiety Disorder, SAD = Separation Anxiety Disorder, ADHD = Attention-Deficit Hyperactivity Disorder, ODD = Oppositional Defiant Disorder;

**

Regular use indicates once a month or more.

2.1. Measures

Anxiety Disorders Interview Schedule for Children (ADIS-C) and for Parents (ADIS-P)

The ADIS-C and ADIS-P (Silverman & Albano, 1987), structured interviews of child mental disorders with high interrater and retest reliability (Silverman & Nelles, 1992; Silverman & Eisen, 1988), were administered independently to parent(s) and child pre- and post-treatment. When parent and child report differed, diagnoses were based on parental report1. Clinicians made severity ratings (CSRs), ranging from not interfering to clinically interfering, for each diagnostic category, providing an additional continuous measure of endorsed symptoms. CSRs from the ADIS-P ADHD sub-section were used as a continuous quantifier of ADHD pathology in the present analyses.

Family History

At intake, parents responded to the question “not including the child, is there anyone in your family with a substance abuse problem?”

Child Behavior Checklist (CBCL)

The 118-item CBCL (Achenbach & Edelbrock, 1991) is a pretreatment parent report of child problems with documented validity, retest reliability and internal consistency (Achenbach & Rescorla, 2001).

Comprehensive Adolescent Severity Inventory – Alcohol and Other Drug Module (CASI-AOD)

The CASI-AOD (Meyers, et al., 1995), a semi-structured interview with good retest reliability and validity (Meyers et al., 2006), assesses age at first use, pattern of use and social, physical and/or psychological consequences of use over the past year for each substance, the main outcomes of interest in this report.

Adolescent Perceived Events Scale (APES)

The APES (Compas, et al., 1987) assessed (a) the presence or absence and (b) the valence (−4 = extremely bad, 0 = neither good nor bad, 4 = extremely good) of self-reported life events at 7.4-year follow-up. The valences of endorsed items can be totaled to reflect a child’s cumulative experience of positive and negative events. It has favorable retest reliability and concurrent validity. For example, 2-week retest reliability for number of reported events and weighted positive events is 0.85 and 0.78 respectively (Compas et al., 1987), and scores have been found to be related to adolescent behavior problems and psychological symptomology.

2.2. Procedure

As part of the original RCT, parents and children provided consent and assent at intake. Children were randomly assigned to treatment condition and therapist. Treatment details are discussed in (Kendall et al., 1997). Doctoral candidates, blind to treatment and diagnoses, conducted diagnostic interviews (inter-rater reliability κ > .85). As part of the 7.4-year follow-up, participants were located using previously provided information. Adult participants signed informed consent. Parental consent and child assent were obtained for minors. Youth and their parent(s) were interviewed separately at home, the anxiety clinic (n = 52), or by phone if they relocated (n = 20). Diagnoses were determined based on results of the ADIS-C/P. When parent and child report differed, diagnoses were based on parent report. Fifty dollars was provided for time. For details about the 7.4 year follow-up see (Kendall et al., 2004).

2.3. Statistical Analyses

Consistent with the methodology of Kendall and colleagues (2004), treatment response was tested categorically (responder versus non-responder) in two ways. Treatment was considered a success if the child’s principal anxiety (most severe and interfering) diagnosis was either (a) Type I: no longer present (i.e., child no longer met diagnostic criteria) at post-treatment or (b) Type II: no longer principal (i.e., symptoms remained, but it was no longer the main concern) at post-treatment as per child report on the ADIS-C/P. Treatment response as characterized by the parent ADIS was not a significant predictors of substance use at 7.4-year follow-up and thus not included the current re-analysis. Hierarchical linear and logistic regressions tested whether reported associations between child reported CBT outcomes (both Type I and II) and six possible characteristics of substance use (e.g., number of drinking days per month, larger amount of use, attempts to control use, giving up of activities due to use, social/interpersonal consequences of use, and psychological/physical consequences of use) measured by the CASI at 7.4-year follow-up (block two) held as significant after controlling for severity of ADHD symptomology and reported negative life events since posttreatment (block one). Clinician severity ratings, ranging from 0 to 4 on the ADHD subsection of the parent ADIS, provided a continuous measure of ADHD symptomology, whereas the APES total valence score quantified the child cumulative experience of positive and negative events since treatment.

Similarly structured regressions examined the influence of family substance abuse history and receipt of additional outpatient therapy on previously reported associations between Type I and Type II treatment outcomes and CASI substance use characteristics in a smaller sample (n = 60) for whom this data were available (data on these items was missing for 12 subjects). All other analyses were conducted with the full sample (n = 72).

A final set of regression analyses, structured in the same manner, tested if associations between CASI substance use characteristics and known predictors of treatment outcome (greater internalizing symptoms and older age in first block) explained previously significant relationships between Type I and Type II treatment responsiveness (second block) and substance use. As the aim of the present study was to reevaluate the validity of previously reported findings, treatment response was not examined as a predictor of all CASI outcomes; rather, only those associations found to be significant by Kendall and colleagues (2004) were re-examined (dashes in Tables 3, 4 and 5 designate analyses excluded for this reason).

Table 3.

Treatment Response and Substance Use Variables, Controlling for ADHD severity, and Negative Life Events (N = 72)

Number of
Drinking Days
per Month
Unwanted
Interpersonal
Consequences
Physical or
Psychological
Consequences
Unsuccessful
Attempts to
Control
Used Larger
Amounts of
Substances
B SE B SE B SE B SE B SE
Type I Treatment
Outcome - -
    ADHD 0.56 0.46 0.43 0.28 0.75* .32 .40* .20
    Negative Life Events 0.01 0.06 0.07 0.05 - - 0.10 .05 .06 .03
    Principal Still Present 4.81* 1.93 2.21 1.30 - - 3.77* 1.66 2.42** 0.90
Type II Treatment
Outcome
    ADHD 0.52 0.46 0.42 0.28 0.18 0.27 0.55* 0.26 0.36 0.20
    Negative Life Events 0.002 0.06 0.07 .05 0.09* 0.04 0.10* 0.05 0.06 0.03
    Principal Still Principle 6.33** 2.30 2.69* 1.35 1.61 1.17 2.27 1.39 2.63* 1.05
*

p < .05,

**

p < .01;

ADHD = attention deficit-hyperactivity disorder.

1

ADHD Clinician Severity Rating from the ADIS-C/P: M = 0.53 (SD = 1.40).

2

Negative Life Events: M = 16.73 (SD = 11.16)

Table 4.

Treatment Response and Substance Use Variables, Controlling for Family History of Substance Abuse and Receipt of Additional Outpatient Therapy (N = 60)

Number of
Drinking
Days per
Month
Unwanted
Interpersonal
Consequences
Physical or
Psychological
Consequences
Used Larger
Amounts
B SE B SE B SE B SE
Type I Treatment Outcome
    Family History of
    SA
−1.16 1.62 −.20 1.40 - - .86 .90
    Additional Therapy .51 1.53 −.30 1.42 - - .36 .77
    Principal Still
    Present
5.31* 2.36 2.95** 1.38 - - 2.34** .94
Type II Treatment Outcome
    Family History of SA −0.90 1.56 −.69 1.51 .45 1.22 .77 .94
    Additional Therapy .25 1.49 .06 1.55 −0.23 1.06 .71 .88
    Principal Still
    Principle
7.89 * 2.67 3.73* 1.58 2.38* 1.15 3.66** 1.32
*

p < .05,

**

p < .01;

SA = substance abuse.

Table 5.

Treatment Response and Substance Use Variables, Controlling for Internalizing Symptoms and Child Age (N = 72)

Number of
Drinking Days per
Month
Unwanted
Interpersonal
Consequences
Physical or
Psychological
Consequences
Give up
Activities
Unsuccessful
Attempts to
Control
Used
Larger
Amounts
B SE B SE B SE B SE B SE B SE
Type I Treatment
Outcome
    CBCL Internalizing −0.03 0.09 −0.03 .08 - - −0.04 .11 -0.01 .07 −0.05 .05
    Child Age 0.04 0.04 −0.05 .05 - - −0.04 0.04 0.01 0.03 0.04 .02
    Principal Still Present 4.38* 1.96 2.85* 1.32 - - 2.68* 1.33 2.64* 1.05 2.07* 0.82
Type II Treatment
Outcome
    CBCL Internalizing −0.03 .09 −.03 .09 −0.04 0.06 −0.09 .13 −0.01 0.07 −0.05 0.05
    Child Age 0.05 .04 −.06 .05 −0.03 0.04 0.07 .05 0.02 0.03 0.04 0.02
    Principal Still Principle 5.99* 2.30 3.55* 1.44 2.44* 1.13 3.68* 1.55 2.23* 1.06 2.49* 0.97
*

p < .05,

**

p < .01;

CBCL = child behavior checklist

1

CBCL Internalizing: M = 71.99 (SD = 7.38).

3. Results

3.1. Group Comparability and Sample Representiveness

Characteristics of the sample are provided in Table 1. Independent t test and chi square analyses revealed no significant differences on ethnicity, family income status, child age or sex for children whose principal anxiety remained present versus not present or principal versus not principle at posttreatment. There were no significant demographic or diagnostic differences in participants from the 7.4-year follow-up with (n = 72) versus those without (n=14) the necessary data for the current analyses, or in the smaller sample with family history data (n = 60).

3.2a. Risk Factors for Substance Abuse: Type I Treatment Response (N = 72; Table 3)

Table 2 presents the zero-order correlations among the variables of interest. Consistent with the previous findings, youth whose principal anxiety disorder remained present after treatment had more drinking days per month (β = 4.78, t(65) = 2.41, p = .03; Cohen’s f2 = .11), were more likely to make unsuccessful attempts to control their drug use (B = 3.78, Wald = 5.19, p = .02; Nagelkerke R2 = .59), and used larger amounts (B = 2.42, Wald = 7.46, p = .01; Nagelkerke R2 = .34) than individuals whose principal diagnosis was no longer present (see Table 3). Total perceived negative life events were significantly associated with the use of larger amounts of drugs (B = .07, Wald = 4.70, p = .03) and unsuccessful attempts to control drug use (B = .13, Wald = 5.54, p = .02) at 7.4-year follow-up. Inclusion of negative life events and ADHD pathology in the model undercut previously reported associations between the presence of the principal anxiety disorder at posttreatment and unwanted interpersonal consequences of drug use (B = 2.21, Wald = 2.88, p = .09). An association between a still-present principal anxiety disorder at posttreatment and psychological or physiological drug use consequences was not previously reported and thus not examined here.

Table 2.

Zero Order Correlations

1 2 3 4 5 6 7 8 9 10 11 12 13 14
1CBCL Internalizing 1 .10 .30* .18 .26* .05 .05 .08 −.06 −.02 −.01 .02 −.06 −.01
2Child Age .10 1 .18 .05 −.17 .004 .14 .19 −.06 −.06 .17 .11 .25* .17
3Family History of SA .30 .18 1 −.06 −.01 −.19 −.07 −.01 −.07 .02 −.15 −.15 −.12 −.09
4Additional Treatment .18 .05 .00 1 .05 −.03 .23 .16 .13 .14 .09 .08 .003 .05
5Negative Life Events .26* −.17 −.17 .05 1 .19 .16 .11 .33 .27 .16 .35** .30* .08
6Level of ADHD .05 .004 .15 −.03 .19 1 −.01 −.05 .14 .21 .07 .33** .26* .13
6Principal Still Principal .05 .14 −.07 .23 .16 −.006 1 .80** .27* .37** .44** .31** .38** .32**
7Principal Still Present .08 .19 −.01 .16 .11 −.05 .80** 1 .19 .28* .34** .39** .37** .28*
8Physical or
Psychological
Consequences
−.06 −.06 −.07 .13 .33** .14 .27* .19 1 .80** .44** .51** .51** .29*
9Unwanted Interpersonal
Consequences
−.02 −.06 .02 .14 .27 .21 .37* .28* .80** 1 .56** .65** .36** .32**
10Gave up Activities −.01 .17 .15 .09 .16 .07 .44** .34** .44** .56** 1 .49** .26* .33**
11Unsuccessful Attempts
to Control
.02 .11 −.15 .08 .35** .33** .31** .39** .51** .65** .49** 1 .44** .33*
12Used Larger Amounts −.06 .25 −.12 .003 .30* .26* .38** .37** .51** .36** .26* .44** 1 .42**
13Number of Drinking
Day per Month
−.01 .17 −.10 .05 .08 .13 .32** .28* .29* .32** .33** .33** .42** 1
*

p < .05,

**

p < .01

3.2b. Risk Factors for Substance Abuse: Type II Treatment Response (N = 72; Table 3)

Consistent with previous reports, individuals whose principal anxiety disorder remained principal had more drinking days per month (β = 6.33, t(65) = 2.75, p = .01; Cohen’s f2 = .13) and were more likely to have unwanted interpersonal consequences of drug use (B = 2.69, Wald = 3.97, p = .046; Nagelkerke R2 = .38) than those whose anxiety was no longer principal, after controlling for ADHD and perceived negative life events. ADHD symptoms and negative life events were not related to number of drinking days or unwanted interpersonal consequences; however, increased negative life events predicted more physical or psychological consequences of substance use (B = .09, Wald = 4.02, p = .045) and more failed attempts to control drug use (B = .1, Wald = 3.86, p = .03) at 7.4-year follow-up. Also, greater ADHD symptoms predicted unsuccessful attempts to control drug use (B = .55, Wald = 4.59, p = .03). After controlling for these relationships, youth whose principal anxiety disorder remained principal were no longer significantly more likely to experience psychological/physical consequences (B = 1.61, Wald = 1.87) or to make unsuccessful attempts to control their drug use (B = 2.27, Wald = 2.64). By comparison, youth whose principal anxiety disorder remained principal were significantly more likely to report using larger amounts of substances (B = 2.63, Wald = 6.28, p = .01; Nagelkerke R2 = .32), after controlling for associations between ADHD symptoms (B = .36, Wald = 3.43, p = .06) and negative life events with larger amounts of drug use (B = 2.27, Wald = 4.02, p = .08).

3.3a. Family History and Additional Treatment: Type I Treatment Response (N = 60; Table 4)

Neither family history nor additional treatment was a significant predictor of later substance use in this sample. Neither variable diminished previously reported associations. After controlling for these variables, youth whose principal anxiety disorder remained present had more drinking days per month (B = 5.31, t(57) = 2.25, p = .03; Cohen’s f2 = .11) and were more likely to have negative social/interpersonal consequences (B = 2.95, Wald = 4.58, p = .03; Nagelkerke R2 = .27), and to use larger amounts (B = 2.34, Wald = 6.21, p = .01; Nagelkerke R2 = .19), than individuals whose anxiety disorder remitted.

3.3b. Family History and Additional Treatment: Type II Treatment Response (N = 60; Table 4)

Individuals whose principal anxiety disorder was still principal at posttreatment had more drinking days per month (B = 7.89, t(57) = 2.95, p = .01; Cohen’s f2 = .18) and were more likely to have unwanted social/interpersonal (B = 3.73, Wald = 5.59, p = .02; Nagelkerke R2 = .35) and physical/psychological consequences from drug use (B = 2.33, Wald = 4.07, p = .04; Nagelkerke R2 = .17), and to use larger amounts (B = 3.65, Wald = 7.64, p = .01; Nagelkerke R2 = .28) than successfully treated individuals.

3.4a. Predictors of Treatment Response: Type I Treatment Response (N = 72; Table 5)

All previously reported associations remained significant after controlling for child’s age at intake and CBCL Internalizing. Though these control variables were generally not related to substance use problems, child age was significantly associated with using larger amounts of drugs (B = .04, Wald = 4.6, p = .03). Individuals whose principal anxiety disorder remained present had more drinking days per month (B = 4.38, t(68) = 2.24, p =.03; Cohen’s f2 = .11), and were more likely to have negative social/interpersonal consequences from drug use (B = 2.85, Wald = 4.64, p = .03 .05; Nagelkerke R2 = .20), give up activities (B = 2.68, Wald = 4.05, p = .04; Nagelkerke R2 = .29), make unsuccessful attempts to control their drug use (B = 2.64, Wald = 6.38, p = .01; Nagelkerke R2 = .24), and use larger amounts (B = 2.07, Wald = 6.46, p = .01; Nagelkerke R2 = .24) than individuals whose principal anxiety remitted.

3.4b. Predictors of Treatment Response: Type II Treatment Response (N = 72; Table 5)

Individuals whose principal anxiety disorder remained principal drank alcohol more days per month (B = 5.99, t(68) = 2.61, p = .01; Cohen’s f2 = .13) and were more likely to have unwanted social (B = 3.55, Wald = 6.09, p = .01; Nagelkerke R2 = .27) and physical/psychological consequences (B = 2.44, Wald = 4.70, p = .03; Nagelkerke R2 = .15) of drug use than those whose anxiety was no longer principal. They were also more likely to quit activities due to drug use (B = 3.68, Wald = 5.62, p = .02; Nagelkerke R2 = .39), make failed attempts to control drug use (B = 2.23, Wald = 4.40, p = .04; Nagelkerke R2 = .16), and use larger amounts (B = 2.49, Wald = 6.59, p = .01; Nagelkerke R2 = .26).

4. Discussion

Previous research (Kendall et al., 2004) suggested that successful treatment of childhood anxiety led to less substance use and related problems at a 7.4-year follow-up. The present study tested these associations between successful treatment and later substance use more rigorously by controlling for the presence of comorbid ADHD pathology, perceived negative life events, family history of substance abuse, older child age, additional treatment and severity of internalizing pathology. Inclusion of these crucial variables challenged the strength of the previous findings, testing the possibility that associations between unsuccessful CBT treatment and later substance use resulted from pretreatment and/or environmental factors independent of the treatment itself. After controlling for these variables, the majority of previous findings held: successfully treated participants drank fewer days per month and were less likely to experience aversive interpersonal consequences of their drug use 7.4 years after treatment than participants who retained their principal diagnosis. They were also less likely to give up activities due to drug use, make unsuccessfully attempts to control their drug use or use larger drug amounts. These associations persisted despite the significant contributions of negative life events, ADHD symptomology and child age to later drug-use related problems. Of all previously reported associations, only the relationship between unsuccessful treatment and physical/psychological consequences of drug use was no longer significant in this more stringent model.

The present results support the notion that effective CBT for child anxiety may have ameliorative effects on target disorders and their sequelae (i.e., substance abuse; Kendall & Kessler, 2002). Despite efforts to identify a spurious relationship between treatment response and later substance use, child characteristics related to substance use risk and poorer prognosis were not better predictors of later substance use than child treatment response. Rather, posttreatment status emerged as a strong, independent indicator of later substance use problems. Manassis and Monga (2001) suggest that adolescents may engage in substance use as a means of managing their anxiety. Present findings suggest that successful CBT may preclude the use of this unhealthy anxiety-management technique by providing anxious individuals with alternative adaptive coping skills. Though this study cannot specify the preventative mechanism instilled by successful CBT, it suggests that the prevention of later substance use problems can occur despite occurrence of negative life events and ADHD difficulties.

The present study has potential limitations. It was not possible to control for some predictors of substance use (e.g., peer influence). Rates of substance use were lower than in normative samples (Grunbaum et al., 2001). Previously reported associations between principal anxiety posttreatment and later quitting of activities due to drug use could not, in some cases, be examined due to an extremely low frequency of this behavior (n = 3). Further, family substance abuse history was assessed by a single item and treatment outcome based on child report, both potential limitations. Finally, there was no control group, thus research is needed to determine if there is causality in the reported associations between successful CBT and later substance use.

5. Conclusion

The ability to identify at-risk individuals and reduce substance-related problems in adolescence and young adulthood represents a valuable auxiliary benefit of CBT for child anxiety. Research suggests that substance experimentation peaks during these developmental periods and may predict later negative behavior (Kessler et al., 2007; Chen & Kandel, 1995). The long-term alleviation of anxiety symptoms and/or the preservation of coping mechanisms in this developmentally-critical period may offer a well-timed protection for at-risk children. Though childhood anxiety may be successfully treated as an acute disorder, SUDs are likely chronic disorders (McLellan et al., 2000). CBT may represent not only a treatment for child anxiety, but also a preventative intervention – a means of interrupting a trajectory from anxiety to later substance use that grows increasingly intractable and deleterious with age. This promising possibility underscores the need for further research examining the preventative effects of CBT for child anxiety on later substance problems.

Acknowledgements

This research was supported by NIMH /NIDA grant (MH60653) and facilitated by NIMH grants (64484; 080788) awarded to the fourth author.

Footnotes

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1

In the case of one adolescent, parent report approached but did not reach a diagnosis. For this youth, the diagnosis was given based on the adolescent’s report.

Contributor Information

Bradley T. Conner, Email: bconner@temple.edu.

Courtney L. Benjamin, Email: benja61@temple.edu.

Philip C. Kendall, Email: pkendall@temple.edu.

References

  1. Achenbach T, Edelbrock C. Manual for the CBCL and 1991 Profile. Burlington, VT: University of Vermont; 1991. [Google Scholar]
  2. Achenbach T, Rescorla L. Manual for the ASEBA school-age forms and profiles. Burlington, VT: Univeristy of Vermont; 2001. [Google Scholar]
  3. Cartwright-Hatton S, Roberts C, Chitsabesan P, Fothergill C, Harrington R. Systematic review of the efficacy of cognitive behaviour therapies for childhood and adolescent anxiety disorders. British Journal of Clinical Psychology. 2004;43:421–436. doi: 10.1348/0144665042388928. [DOI] [PubMed] [Google Scholar]
  4. Chen K, Kandel DB. The natural history of drug use from adolescence to the mid-thirties in a general population sample. American Journal of Public Health. 1995;85:41–47. doi: 10.2105/ajph.85.1.41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Compas BE, Davis GE, Forsythe CJ, Wagner BM. Assessment of major and daily stressful events during adolescence: The Adolescent Perceived Events Scale. Journal of Consulting and Clinical Psychology. 1987;55:534–541. doi: 10.1037/0022-006X.55.4.534. [DOI] [PubMed] [Google Scholar]
  6. Connor BT, Hellemann GS, Ritchie TL, Noble EP. Genetic, personality, and environmental predictors of drug use in adolescents. Journal of Substance Abuse Treatment. 2009 doi: 10.1016/j.jsat.2009.07.004. online publication ahead of print. [DOI] [PubMed] [Google Scholar]
  7. Costello JE, Egger HL, Angold A. Developmental epidemiology of anxiety disorders. In: Ollendick TH, March JS, editors. Phobic and anxiety disorders in children and adolescents: A clinician's guide to effective psychosocial and pharmacological interventions (pp. New York: Oxford University Press; 2004. pp. 61–91. [Google Scholar]
  8. Glantz MD, Anthony JC, Berglund PA, Degenhardt L, Dierker L, Kalaydjian A, et al. Mental disorders as risk factors for later substance dependence: estimates of optimal prevention and treatment benefits. Psychological Medicine. 2009;39:1365–1377. doi: 10.1017/S0033291708004510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Grunbaum J, Kahn L, Kinchen SA, Williams B, Ross, Lowry R, et al. Youth risk behavior surveillance – United States 2001. Journal of School Health. 2001;8:313–328. doi: 10.1111/j.1746-1561.2002.tb07917.x. [DOI] [PubMed] [Google Scholar]
  10. Kaplow JB, Curran PJ, Angold A, Costello EJ. The prospective relation between dimensions of anxiety and the initiation of adolescent alcohol use. Journal of Clinical Child Psychology. 2001;30:316–326. doi: 10.1207/S15374424JCCP3003_4. [DOI] [PubMed] [Google Scholar]
  11. Kendall PC, Flannery-Schroeder E, Panichelli-Mindel SM, Southam-Gerow M, Henin A, Warman M. Therapy for youths with anxiety disorders: A second randomized clinical trial. Journal of Consulting and Clinical Psychology. 1997;65:366–380. doi: 10.1037//0022-006x.65.3.366. [DOI] [PubMed] [Google Scholar]
  12. Kendall PC, Flannery-Schroeder E, Safford S, Webb A. Child anxiety treatment: Outcomes in adolescence and impact on substance use and depression at 7.4-year follow-up. Journal of Consulting and Clinical Psychology. 2004;72:276–287. doi: 10.1037/0022-006X.72.2.276. [DOI] [PubMed] [Google Scholar]
  13. Kendall PC, Kessler RC. The impact of childhood psychopathology interventions on subsequent substance abuse: policy, implications, comments and recommendations. Journal of Consulting and Clinical Psychology. 2002;70:1303–1306. [PubMed] [Google Scholar]
  14. Kendler KS, Davis CS, Kessler RC. The familial aggregation of common psychiatric and substance use disorders in the National Comorbidity Survey: a family history study. The British Journal of Psychiatry. 1997;170:541–548. doi: 10.1192/bjp.170.6.541. [DOI] [PubMed] [Google Scholar]
  15. Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of twelve-month DSM-IV disorders in the National Comorbidity Survey Replication (NCS-R) Archives of General Psychiatry. 2005;62:617–627. doi: 10.1001/archpsyc.62.6.617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kessler RC, Angermeyer M, Anthony JC, De Graaf R, Demyttenaere K, Gasquet I, et al. Lifetime prevalence and age of onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry. 2007;6:168–176. [PMC free article] [PubMed] [Google Scholar]
  17. Kessler RC, Nelson C, McGonagle K, Edlund M, Frank R, Leaf P. The epidemiology of co-occurring addictive and mental disorders: Implications for prevention and service utilization. American Journal of Orthopsychiatry. 1996;66:17–31. doi: 10.1037/h0080151. [DOI] [PubMed] [Google Scholar]
  18. King SM, Iacono WG, McGue M. Childhood externalizing and internalizing psychopathology in the prediction of early substance use. Addiction. 2004;99:1548–1559. doi: 10.1111/j.1360-0443.2004.00893.x. [DOI] [PubMed] [Google Scholar]
  19. Manassis K, Monga S. A therapeutic approach to children and adolescents with anxiety disorders and associated comorbid conditions. Journal of the American Academy of Child and Adolescent Psychiatry. 2001;40:115–117. doi: 10.1097/00004583-200101000-00024. [DOI] [PubMed] [Google Scholar]
  20. McLellan AT, Lewis DC, O’Brien CP, Kleber HD. Drug dependence, a chronic medical illness: Implications for treatment, insurance and outcome. Journal of the American Medical Association. 2000;13:1689–1695. doi: 10.1001/jama.284.13.1689. [DOI] [PubMed] [Google Scholar]
  21. Merikangas KR, Mehta RL, Molnar BE, Walters EE, Swendsen JD, Aguilar-Gaziola S, et al. Comorbidity of substance use disorders with mood and anxiety disorders: Results of the international consortium in psychiatric epidemiology. Addictive Behaviors. 1998;23:893–907. doi: 10.1016/s0306-4603(98)00076-8. [DOI] [PubMed] [Google Scholar]
  22. Meyers K, Hagan TA, McDermott P, Webb A, Randall M, Frantz J. Factor Structure of the Comprehensive Adolescent Severity Inventory (CASI): Results of reliability, validity, and generalizability analyses. American Journal of Drug and Alcohol Abuse. 2006;32:287–310. doi: 10.1080/00952990500479464. [DOI] [PubMed] [Google Scholar]
  23. Meyers K, McLellan AT, Jaeger JL, Pettinati HM. The development of the Comprehensive Addiction Severity Index for Adolescents (CASI-A): An interview for assessing the multiple problems of adolescents. Journal of Substance Abuse Treatment. 1995;12:181–193. doi: 10.1016/0740-5472(95)00009-t. [DOI] [PubMed] [Google Scholar]
  24. Pine DS, Cohen P, Gurley D, Brooks J, Ma Y. The risk of early-adulthood anxiety and depressive disorders in adolescents with anxiety and depressive disorders. Archives of General Psychiatry. 1998;55:56–64. doi: 10.1001/archpsyc.55.1.56. [DOI] [PubMed] [Google Scholar]
  25. Reinherz HZ, Giaconia RM, Hauf AM, Wasserman MS, Paradis AD. General and specific childhood risk factors for depression and drug disorders by early adulthood. Journal of the American Academy of Child and Adolescent Psychiatry. 2000;39:223–231. doi: 10.1097/00004583-200002000-00023. [DOI] [PubMed] [Google Scholar]
  26. Silverman WK, Albano AM. Anxiety Disorders Interview Schedule for Children (DSM-IV) San Antonio, TX: Psychological Corporation; 1997. [Google Scholar]
  27. Silverman W, Pina AA, Viswesvaran C. Evidence-based psychosocial treatments for phobic and anxiety disorders in children and adolescents. Journal of Clinical Child and Adolescent Psychology. 2008;37:105–130. doi: 10.1080/15374410701817907. [DOI] [PubMed] [Google Scholar]
  28. Silverman WK, Saavedra LM, Pina AA. Test-retest reliability of anxiety symptoms and diagnoses with anxiety disorders interview schedule for DSM-IV: child and parent versions. Journal of the American Academy of Child and Adolescent Psychiatry. 2001;40:937–944. doi: 10.1097/00004583-200108000-00016. [DOI] [PubMed] [Google Scholar]
  29. Southam-Gerow MA, Kendall PC, Weersing VR. Examining outcome variability: Correlates of treatment response in a child and adolescent anxiety clinic. Journal of Clinical Child Psychology. 2001;30:422–436. doi: 10.1207/S15374424JCCP3003_13. [DOI] [PubMed] [Google Scholar]
  30. Toumbourou JW, Stockwell T, Neighbors C, Marlatt GA, Sturge J, Rehm J. Interventions to reduce harm associated with adolescent substance use. Lancet. 2007;369:1391–1401. doi: 10.1016/S0140-6736(07)60369-9. [DOI] [PubMed] [Google Scholar]
  31. Verduin TL, Kendall PC. Peer perceptions and liking of children with anxiety disorders. Journal of Abnormal Child Psychology. 2008;36:459–469. doi: 10.1007/s10802-007-9192-6. [DOI] [PubMed] [Google Scholar]
  32. Wilens TE, Biederman J, Mick E, Faraone S, Spencer T. Attention deficit hyperactivity disorder is associated with early onset substance use disorders. The Journal of Nervous and Mental Disease. 1997;185:475–482. doi: 10.1097/00005053-199708000-00001. [DOI] [PubMed] [Google Scholar]
  33. Wills TA, Vacaro D, McNamara G. The role of life events, family support and competence in adolescent substance use: A test of vulnerability and protective factors. American Journal of Community Psychology. 1992;20:349–374. doi: 10.1007/BF00937914. [DOI] [PubMed] [Google Scholar]
  34. Wood JJ, Piacentini JC, Bergman RL, McCracken J, Barrios V. Concurrent validity of the anxiety disorders section of the Anxiety Disorders Interview Schedule for DSM-IV: child and parent versions. Journal of Clinical Child and Adolescent Psychology. 2002;31:335–342. doi: 10.1207/S15374424JCCP3103_05. [DOI] [PubMed] [Google Scholar]

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