Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Aug 1.
Published in final edited form as: Dev Psychopathol. 2017 Dec 7;31(1):247–260. doi: 10.1017/S0954579417001766

Nurturant-Involved Parenting and Adolescent Substance Use: Examining an Internalizing Pathway through Adolescent Social Anxiety Symptoms and Substance Refusal Efficacy

Bridget B Weymouth 1,3, Gregory M Fosco 2, Mark E Feinberg 3
PMCID: PMC5991983  NIHMSID: NIHMS917201  PMID: 29212564

Abstract

Research has clearly established the important role of parents in preventing substance use among early adolescents. Much of this work has focused on deviance (e.g., antisocial behavior, delinquency, oppositional behavior) as a central pathway linking parenting behaviors and early adolescent substance use. This study proposed an alternative pathway; using a four-wave longitudinal design, we examined whether nurturant-involved parenting (Fall 6th grade) was inversely associated with adolescent drunkenness, marijuana use, and cigarette use (8th grade) through social anxiety symptoms (Spring 6th grade) and subsequent decreases in substance refusal efficacy (7th grade). Nurturant-involved parenting is characterized by warmth, supportiveness, low hostility, and low rejection. Analyses were conducted with a sample of 687 two-parent families. Results indicated that adolescents who were in families where fathers’ exhibited lower levels of nurturant-involved parenting experienced subsequent increases in social anxiety symptoms and decreased efficacy to refuse substances, which, in turn, was related to more frequent drunkenness, cigarette use, and marijuana use. Indirect effects are discussed. Findings were not substantiated for mothers’ parenting. Adolescent gender did not moderate associations. The results highlight an additional pathway through which parenting influences youth substance use and links social anxiety symptoms to reduced substance refusal efficacy.

Keywords: parenting, social anxiety, substance use, refusal efficacy

Introduction

Numerous studies have linked early initiation and greater frequency of substance use during early adolescence to a number of maladaptive outcomes. Initiation and use during the early adolescent years have robust risk implications for high-risk sexual behavior (Crockett, Raffaelli, & Shen, 2006), academic problems (Lynskey & Hall, 2000), and criminal behavior (Odgers et al., 2008). Early alcohol use also poses substantial risk for driving under the influence, motor vehicle accidents, and accidental injury to self and others (Hingson, Edwards, Heeren, & Rosenbloom, 2009). Similarly, early initiation and greater frequency of substance use during early adolescence is a precursor for the progression of substance use dependence and substance use disorders (Moss, Chen, & Yi, 2014). Consequences of such problems in adulthood include financial difficulties, unemployment, and relationship conflict (Cerda et al., 2016; Patton et al., 2007). Given the evidence linking early substance use to progression in substance use disorders and later difficulties in adaptive functioning, it is important to aid prevention efforts by identifying the factors that predict substance use during early adolescence.

Research on adolescent substance use has emphasized the contribution of social contexts, including adolescents’ relationships with parents. Considerable research has linked nurturant-involved parenting, defined as high warmth and support and low hostility and rejection (Conger et al., 1992), to adolescent substance use (Velleman, Templeton, & Copello, 2005). Specifically, adolescents who experience harsh, rejecting, and inconsistent parenting are at an elevated risk for tobacco and alcohol use (Zucker, Donovan, Masten, Mattson, & Moss, 2008). Findings support social learning and negative reinforcement of coercive behaviors as specific risk mechanisms (Patterson, Reid, & Dishion, 1992). Other studies have examined parental involvement, support, and monitoring, and the findings suggest that providing structure and management of youth behaviors help prevent adolescent substance use over time (Beach, Lei, Brody, Yu & Philibert, 2014; Pires & Jenkins, 2007). These strategies are particularly effective, because they prevent adolescent deviance and exposure to deviant peer influences, which are salient contexts for adolescent substance use (Leung, Toumbourou, & Hemphill, 2014).

According to a developmental psychopathology perspective, however, it is important to consider that different pathways might lead to a similar outcome (Cicchetti & Rogosch, 1996). Negative affect regulation models have highlighted internalizing symptoms, such as anxiety, as important risks for substance use, positing that anxious individuals use substances to lessen the debilitating symptoms of anxiety (Sher, 1991). Similarly, other models suggest that internalizing problems are linked to greater substance use by affecting individuals’ expectations, interpersonal skill deficits, and/or coping motives (Hussong, Jones, Stein, Baucom, & Boeding, 2011; Siennick, Widdowson, Woessner, & Feinberg, 2016). This study extends substance use research among early adolescents by examining whether a pathway through adolescent social anxiety symptoms and their potentially deleterious effects on adolescents’ efficacy to refuse substances links lower levels of nurturant-involved parenting to more frequent drunkenness, cigarette use, and marijuana among early adolescents. Substance refusal efficacy is defined as confidence in refusing substances if offered by friends or peers (Scheier, Botvin, Diaz, & Griffin, 1999).

Expanding Our Concept of Risk: A Social Anxiety Pathway to Adolescent Substance Use

Adolescence is a heightened risk period for increasing social anxiety symptoms and disorders (Wittchen & Fehm, 2001), which are characterized by greater anticipation and perceptions of social threat, heightened fears of negative evaluation, and lower confidence in navigating the social realm successfully (Heimberg, Brozovich, & Rapee, 2010). Social anxiety symptoms tend to increase across childhood and adolescence, and clinical-level symptoms typically onset during adolescence, on average (Kessler et al., 2005). Adolescent brain development might contribute to increasing symptoms by heightening adolescent self-awareness and sensitivity to the perceptions of others in the social realm (Tillfors & Van Zalk, 2015).

Families where parents express less warmth and support and engage in hostile and rejecting behaviors are theorized to place adolescents at greater risk for heightened social anxiety symptoms by altering children’s internal working models of the self and interpersonal relationships (Ainsworth, 1989; Groh et al., 2014). Cold, rejecting parenting undermines adolescents’ trust that their parents will be consistent and will intervene when they need help. In the context of these rejecting relationships, children develop internal working models of interpersonal relationships that are characterized by more emotional and behavioral dysregulation, particularly during social interactions (Brody & Ge, 2001; Kretschmer et al., 2016). Previous research indicates that socially anxious youth experience greater parental rejection, greater parental control, and lower parental warmth than non-anxious youth (Bogels, van Oosten, Muris, & Smulders, 2001; Bruch Heimberg, 1997; Festa & Ginsburg, 2011). Additionally, adolescents who experience greater parental rejection (Lieb et al., 2000) and lower warmth (Knappe et al., 2012) are at heightened risk for social anxiety disorders. The impact of parenting on social anxiety symptoms is particularly robust during early adolescence. In a large, longitudinal study, Van Oort and colleagues (2011) found that lower levels of nurturant-involved parenting were most strongly associated with social anxiety symptoms in early adolescence compared to later adolescence.

A few studies also highlight that interconnections between the family context and social anxiety pose risk for substance use. Socially anxious women who also experience low family support/connectedness and high family hostility exhibit the highest rates of alcohol use disorders one year later compared to non-anxious women and women with more positive family relationships (Buckner & Turner, 2009). Other studies show that individuals who experience a combination of high social anxiety and greater parental acceptance of marijuana use exhibit more marijuana-related problems compared to individuals with lower social anxiety and lower parental acceptance of marijuana use (Ecker & Buckner, 2014).

Social anxiety symptoms might also link lower-levels of nurturant-involved parenting to early adolescent substance use over time by undermining adolescents’ social skills that are crucial to substance avoidance (Hussong et al., 2011). We examined adolescent substance refusal efficacy, or lack there-of, as an interpersonal skills deficit that could explain associations between adolescent social anxiety symptoms and more frequent adolescent substance use. According to self-efficacy theory, individuals’ confidence and judgements that they are able to perform behaviors (i.e., self-efficacy) guides their decisions to engage in behaviors. Importantly, anxiety is identified as one potential influence on self-efficacy (Bandura, 1986).

The key features of social anxiety might overwhelm adolescents with fear about potential social consequences. This fear might hamper adolescents’ confidence that they can assert themselves in social contexts (Lillehoj, Trudeau, Spoth & Wickrama, 2004), including those involving encouragement to use substances. Individuals with heightened social anxiety symptoms report lower levels of self-efficacy for avoiding heavy drinking than individuals with lower levels of social anxiety symptoms (Burke & Stephens, 1997). Similarly, Gilles, Turk, and Fresco (2006) found that individuals with a combination of greater social anxiety, lower refusal efficacy, and positive expectancies for use reported greater alcohol consumption. Although these studies show that individuals with social anxiety concurrently experience lower efficacy to refuse substances, no studies to our knowledge speak to the directional and prospective associations between social anxiety symptoms and substance refusal efficacy.

Substance refusal efficacy is a well-established predictor of a multitude of substance use outcomes. During a developmental period that is characterized by increases in social reward-seeking (Tillfors & Van Zalk, 2015) and peer influence (Steinberg & Monahan, 2007), adolescents might lack confidence that they can refuse substances without alienating peers. According to self-efficacy theory, individuals engage in behaviors based on their judgement that they can successfully perform the behavior (Bandura, 1986); thus, adolescents who lack the confidence to refuse substances might be at risk for using substances more frequently. Cross-sectional (Choi, Krieger, & Hecht, 2013; Connor, Gullo, Feeney, Kavanagh, & Young, 2014) and longitudinal (Connor, George, Gullo, Kelly, & Young, 2011; Hiemstra, Otten, & Engels, 2012) studies have supported this contention. Additionally, substance use prevention programs have aimed at improving adolescent refusal efficacy as a method for preventing substance use (Redmond et al., 2009). Some findings indicate that refusal efficacy mediates the impact of randomized preventative interventions on adolescent alcohol use (Botvin, Schinke, Epstein, Diaz & Botvin, 1995; Komro et al., 2001). Other studies do not find that adolescents’ refusal skills mediate the impact of programs on alcohol use (Wynn, Schulenberg, Kloska, & Laetz, 1997; Wynn, Schulenberg, Maggs, & Butler, 2000); however, there is evidence that these findings depend on adolescents beliefs that drinking is socially unacceptable (Donaldson et al. 1995). Thus, adolescents’ levels of fears and insecurities about the social realm might pose a unique and important context for considering the impact of substance refusal efficacy on adolescent substance use.

Parent and Adolescent Gender Differences

Most studies of substance use and internalizing pathways have solely examined mothers’ parenting or a composite score of mothers and fathers, which ignores or masks potentially unique contributions of mothers and fathers to adolescent outcomes. Mothers and fathers can play different roles in family systems. For example, mothers generally spend more time in daily caregiving, including activities and conversation, with adolescents than do fathers (Crouter & McHale, 1993). Mothers also tend to engage in more warm and supportive parenting and generally have closer relationships with adolescents than do fathers (Holmbeck et al., 1995; Tein, Roosa, & Michaels, 1994). In contrast, fathers typically engage in more leisure time (Holmbeck et al., 1995) and weekend social activities (Parke, 2013). Citing evolutionary perspectives, scholars suggest that fathers play a larger role in preparing children for social interaction and identifying potentially threatening situations in their external environment (Bögels & Perotti, 2011), and research has found that fathers play a unique role in children’s social competence (Laible & Carlo, 2004).

Due to mothers’ greater engagement in daily caregiving, adolescents’ might be more sensitive and frequently exposed to hostile, rejecting, and unsupportive mothering; thus, lower levels of nurturant-involved mothering might pose a greater risk for adolescent substance use. Some research suggests that mothers’, but not fathers’, knowledge of adolescents’ drinking is associated with less drinking (Padilla-Walker, Nelson, Madsen, & Barry, 2008). Other studies, however, have found fathers’ nurturant-involved parenting poses unique risk for greater illicit drug use among late adolescents after controlling for mothers’ parenting (Schwartz et al., 2009). The social context and peers have a robust influence on adolescent substance use (Dishion & Owen, 2002); thus, fathers might be more salient influences on adolescent substance use than are mothers due to their important role in socializing youth. Additionally, there is evidence that fathers’ parenting has a stronger influence on social anxiety than does mothers’ parenting (Bögels, Stevens, & Majdandẑic, 2011), although few studies have examined the unique roles of fathers and mothers parenting in relation to adolescent social anxiety. Our examination of both mothers’ and fathers’ in the same model is a notable contribution to the research on substance use and internalizing pathways, because it will help identify the unique or shared contributions of mothers and fathers to substance use through the proposed pathway.

This study also examines adolescent gender differences in the proposed pathways. Parenting practices appear to have similar influences on adolescent girls’ and boys’ substance use (Piko & Balázs, 2012; Schinke, Fang, & Cole, 2008). In contrast, the association between social anxiety and adolescent substance use might vary as a function of gender. Men with greater social anxiety exhibit greater risk for cigarette dependence (Buckner & Vinci, 2013) and greater severity of marijuana-related problems (Buckner, Heimberg, & Schmidt, 2011) in comparison to women. Thus, we investigate whether youth gender moderated the links among nurturant-involved parenting, adolescent social anxiety symptoms, substance refusal efficacy, and substance use, although we do not assert specific hypotheses.

The Current Study

Using a four-wave longitudinal design, we examined nurturant-involved parenting in the Fall of 6th grade as a risk for increasing social anxiety symptoms (Spring 6th grade), which, in turn, potentially erodes adolescents’ efficacy to refuse substances (7th grade) and leads to more frequent drunkenness, marijuana, and cigarette use during 8th grade. Based on theory and empirical research, we hypothesize that adolescent social anxiety, and subsequent substance refusal efficacy, may explain the association between nurturant-involved parenting prior to adolescence and later adolescent substance use. We controlled for prior levels of social anxiety symptoms and substance refusal efficacy (Fall 6th grade) to provide an examination of change over time. Additionally, we accounted for adolescents’ early initiation of substances (Fall 6th grade) to provide a more stringent test of the proposed pathways to adolescent substance use. Independent effects of mothers’ and fathers’ parenting were examined in the same model, which acknowledges the interconnected nature of family relationships as well as the unique contributions of family members to adolescent development. Finally, this study examined youth gender differences in associations, expanding beyond mean level differences in substance use and clarifying whether pathways are similar or different for adolescent males and females.

Method

Participants

This study utilized a subsample of 687 two-parent families from the Promoting School-Community University Partnerships to Enhance Resilience (PROSPER) project; a partnership-based delivery system for evidence-based interventions (EBIs) designed to reduce adolescent substance use initiation (Spoth, Greenberg, Bierman, & Redmond, 2004). Participants in the PROSPER project were from 28 rural and small town communities in Iowa and Pennsylvania. Communities that included (a) school district enrollment from 1,300 to 5,200, and (b) at least 15% of the student population eligible for free or reduced-cost lunches, were eligible for participation (for more information, see Spoth, Guyll, Lillehoj, Redmond, & Greenberg, 2007). Communities were blocked on school district size (enrollment) and geographic location, and then they were randomly assigned to the partnership intervention or comparison conditions. Intervention communities selected and oversaw the implementation of one family and one school evidence-based intervention. Students who were in 6th grade at Wave 1 (W1) of data collection were eligible to participate. A total of 10,849 students (approximately 90% of those eligible) across two cohorts (spaced 1 year apart) completed baseline assessments in schools beginning in the Fall of 6th grade. Questionnaires continued annually during the Spring of 6th through 12th grades. On average, 88% of students completed in-school assessments at each data collection point for the larger study.

A random subsample of 2,267 families from the second cohort of the larger project were selected and recruited through mail, telephone, and in-person visits to participate in the family-based program; 979 (43%) participated. During a home visit, questionnaires were completed independently by adolescents, mothers, and, if present, fathers. Home visits were conducted during the Fall and Spring of 6th grade and annually thereafter in the Spring of 7th through 8th grades. Retention rates wereM83%, 82%, and 80% during the Spring of 6th through 8th grades, respectively. We excluded 292 families from the in-home sample: 188 were excluded because they were not married or were not in a marriage-like relationship.1

The current study analyzed a subsample of 687 two-parent families from the family-based program (either married or cohabiting). Thirty-seven percent of this sub-sample (n = 257) were in the control condition of the larger study, 54% (n = 369) were in the intervention condition, and 9% were not consistently grouped (n = 61). Families that included dual-biological parents characterized 73% of the sub-sample (n = 499). Fifty-five percent (n = 273) of dual-biological parent families were in the intervention condition of the larger study. In cases where a partner was not a non-biological parent, the family was included in the sample if the child and parents considered the non-biological partner to be a parental figure. Of mothers, 97.5% were biological mothers (N = 670), 1.5% (N = 10) were stepmothers, and 1% (N = 7) were adoptive mothers. Of fathers, 80.2% were biological fathers (N = 551), 18.5% (N = 127) were stepfathers, and 1.3% (N = 9) were adoptive fathers. Adolescent females comprised 52% of the sample. The sample was primarily European-American (90%), with 6.3% Hispanic, 1.2% African American, .06% Asian, and 1.9% Other. During 6th grade, the mean age for adolescents was 11.3 years (SD = .49). Mothers were 38.7 years old on average, (SD = 6.05), and fathers were 41.1 years on average (SD = 7.14). We compared those who participated in the in-home assessment to the larger sample on a number of variables. Comparisons indicated that youth who participated in the in-home assessments were somewhat less likely to engage in deviant behavior, less likely to initiate substances, and perceived fewer benefits of using substances.

Measures

Nurturant-involved parenting (Fall 6th grade)

Nurturant-involved parenting was a latent variable with four manifest indicators: support, positive affect, hostility, and rejection. Data on each of these indicators were collected during the in-home family assessments. Mothers and fathers rated the extent to which six items described their support for adolescents on a 5-point scale (never true = 1 to always true = 5) (Spoth, Redmond, & Shin, 1998). Support was the first manifest indicator. Example items include “I spend one-on-one time with my child to let him or her know I care” and “I show support when my child talks about what he or she wants to be when they grow up.” Mothers and fathers completed the Affective Quality of the Relationship Scale, Parent to Youth (Spoth et al., 1998). Mothers and fathers indicated how frequently in the last month they engaged in specific behaviors on a 7-point scale (always = 1 to never = 7). Positive affect was the second manifest indicator and was measured using three items focusing on how often parents: a) let the child know s/he really cares for the child, b) appreciated him/her, his/her ideas, and c) acts loving and affectionate toward the child (all reverse coded) (Spoth, Redmond, & Shin, 1998). Parent hostility (i.e., negative affect) towards youth was the third manifest indicator and was measured with three items capturing how often parents: a) got angry with their child, b) shouted or yelled at their child, and c) insulted or swore at their child during disagreements (Spoth et al., 1998). Rejection was the fourth manifest variable and was measured with five items that assessed mothers’ and fathers’ feelings toward their child on a 5-point scale (strongly agree = 1 to strongly disagree = 5) (Spoth et al., 1998). A sample item was “I feel this child has a number of faults.” Cronbach’s alphas for mothers’ and fathers’ support, positive affect, hostility, and rejection ranged from .76 to .88. The latent variable was scaled so that higher values reflected more nurturant-involved parenting.

Adolescent social anxiety symptoms (Fall and Spring 6th grade)

Adolescent social anxiety symptoms were assessed during the Spring of 6th grade (i.e., mediator) and during the Fall of 6th grade in order to assess change over time. Social anxiety symptoms were a latent variable with two manifest indicators. Adolescents reported on the 18-item Social Anxiety Scale for Adolescents (SAS-A; La Greca & Lopez, 1998) and indicated how true each item was for themselves on a 5-point scale (not at all = 1 to all the time = 5). Although previous research has sometimes treated the SAS-A as having three subscales (fear of negative evaluation and two social avoidance subscales), a factor analysis indicated that two factors, a fear of negative evaluation and a social avoidance subscale, were a better fit in this sample for both measurement occasions. The first manifest indicator was an 8-item fear of negative evaluation (FNE) subscale. A sample item was “I worry about being teased.” The second manifest indicator was a 10-item social avoidance (SA) subscale. A sample item was “I feel shy around people I don’t know.” The latent variable was scaled so that higher values reflected greater social anxiety symptoms. Cronbach’s alphas for the FNE and SA subscales ranged from .87 to .93. Data on each of these indicators were collected during the in-home assessments.

Adolescent substance refusal efficacy (Fall 6th grade and Spring 7th grade)

Substance refusal efficacy was assessed during the Spring of 7th grade (i.e., mediator) and during the Fall of 6th grade in order to assess change over time. Substance refusal efficacy was a latent variable with three manifest indicators. Adolescents rated their confidence that they could refuse alcohol, cigarettes, and marijuana if offered by a friend (3-items) on a 5–point scale (not at all confident = 1 to very confident = 5) (Redmond et al., 2009). Each item was used as a manifest indicator of refusal efficacy. Higher scores reflected greater substance refusal efficacy. Cronbach’s alphas for the full scale were .97 and .91 during 6th and 7th grades, respectively. Data on each of these indicators were collected during the in-home assessments.

Substance use (Fall 6th grade Spring 8th grade)

Early initiation of substances was assessed in the Fall of 6th grade to control for the effect of early use on subsequent substance use and to provide a more stringent test of the proposed pathway. Adolescents reported on 3-items indicating if they had ever been drunk, used marijuana, or used cigarettes (0 = no, 1 = yes) (Elliot, Ageton, Huizinga, Knowles, & Canter, 1983; Williams, Toomey, McGovern, Wagenaar, & Perry, 1995). Adolescent reports were coded to indicate if they had ever initiated at least one of the three substances (0 = no, 1 = yes). Five percent of youth (n = 30) indicated that they had initiated at least 1 substance, and 50% of these youth (n = 15) were in the intervention condition of the larger study.

During 8th grade, adolescents reported on the frequency of getting drunk and using marijuana during the last year (not at all = 1 to more than 12 times = 5) (Elliot et al., 1983; Williams et al., 1995). Adolescents also reported on the frequency of cigarette use during the past month on a 5-point scale (not at all = 1 to more than once a week = 5) (Elliot et al., 1983; Williams et al., 1995). Approximately 11 and 5 percent of adolescents reported getting drunk and using marijuana at least once in the last year, respectively. Approximately 7 percent of adolescents reported using cigarettes at least once in the past month. Rates for drunkenness and cigarettes are equivalent to rates reported by larger, national samples; marijuana use in the current study was lower (Miech, Johnston, O’malley, Bachman, & Schulenberg, 2015). Higher scores for each of the three items reflected more frequent substance use. Single item measures of substance use have shown acceptable reliability and validity in past research (Dollinger & Malmquist, 2009). Data on each of these indicators were collected during the in-school assessments.

Covariates (Fall 6th grade)

We included several covariates in this study that were measured during the Fall of 6th grade. Parental alcohol problems were measured using eight items which asked mothers and fathers about their drinking problems in the past 12 months (often = 1 to never = 4) (Simons, Johnson, Beaman, & Conger, 1993). Items were reverse scored so that higher scores indicated greater alcohol problems, and scores were averaged across mothers and fathers. A sample item was “How often have you had family problems because of drinking too much?” This scale has been used in a number of prior studies and has demonstrated good reliability (alpha = .80; Simons et al., 1993). Cronbach’s alphas for the current study were .73 for mothers and .84 for fathers.

Parent psychopathology was measured using 29-items from the Symptom Checklist (Derogatis, 1977). Parents indicated how much they were distressed or bothered by 29 symptoms during the last week (1 = not at all to 5 = extremely). Sample items were “nervousness or shakiness inside” and “crying easily.” Cronbach’s alphas were for .95 and .92 for mothers and fathers, respectively. Parent education was scored from 0 (no grade completed) to 20 (doctoral degree). Family income was scored from 1 to 11 in $10,000 intervals (1 = $0 –10,000 to 11 = above $100,000). Biological parent was coded to indicate whether both parents were biological parents (1) or not (0). We also included study condition to indicate whether families were in the intervention (1) or control (0) condition of the larger study.

Analysis Plan

All analyses were conducted using Mplus Version 7.4 (Muthén & Muthén, 2013) using robust maximum likelihood estimation methods that do not rely on assumptions of normally distributed variables, as is often the case with substance use measures (McDonald & Ho, 2002). Three fit indices were used to assess the acceptability of each analytic model: the chi-square statistic, comparative fit index (CFI), and root-mean-square error of approximation (RMSEA). A nonsignificant chi-square statistic indicated good model fit. However, due to the large sample size, a significant chi-square was expected for most models. Therefore, other fit indices also were examined. Adequate model fit was indicated by CFI values of .90 to .95 (Hu & Bentler, 1999) and RMSEA values ranging from .06 to .08 (Browne & Cudeck, 1993). Good model fit was indicated by CFI values greater than .95 and RMSEA values less than .05 (Browne & Cudeck, 1993; Hu & Bentler, 1999). The significance level for all estimates was p < .05. Missing values were addressed using full information maximum likelihood estimation; a preferred technique for producing estimates with minimal bias (Schlomer, Bauman, & Card, 2010).

This study tested a three-path mediated effect, in which two mediators (social anxiety symptoms and substance refusal efficacy) sequentially intervene between the independent variables (mothers and fathers nurturant-involved parenting) and the dependent variables (drunkenness, cigarette use, and marijuana use). Methods for testing a single-mediator model can be generalized to a three-path mediated effect (Taylor, MacKinnon, & Tein, 2008). According to recommendations, we tested indirect effects using a bias-corrected bootstrapping procedure (5,000 draws) (Taylor et al., 2008). A bootstrapping procedure is preferable over other methods because: (a) a normal sampling distribution is not assumed, and (b) more precise confidence intervals are produced, which (c) reduces Type I error rates, and (d) increases power (MacKinnon, Lockwood, & Williams, 2004). The bootstrapping approach produces a 95% confidence interval. A 95% confidence interval that does not contain zero indicates a significant mediating effect (Preacher, Rucker, & Hayes, 2007).

Substance use outcomes (8th grade) were regressed on early substance use initiation (Fall 6th grade) and on all covariates in the model. Social anxiety symptoms (Spring 6th grade) and substance refusal efficacy (7th grade) also were regressed on early substance use initiation to account for potential bidirectional effects between these constructs. For parsimony, we inspected bivariate correlations to determine if social anxiety symptoms (Spring 6th grade) and substance refusal efficacy (7th grade) should be regressed on covariates in the model. We included a covariate path if any manifest indicators of social anxiety symptoms or substance refusal efficacy were significantly correlated with a control variable.

Finally, we used multi-group invariance tests to examine whether structural paths were consistent across (a) adolescent boys and girls and (b) control and intervention groups. We compared a model in which all loadings and structural paths were constrained to be equal across groups to a model in which structural paths were freely estimated. Group comparisons were conducted by evaluating change in the CFI between the two models, which is the preferred approach (compared to chi-square tests) with larger samples (i.e., N > 300; Cheung & Rensvold, 2002). A ΔCFI of .01 or greater indicated a significant change in model fit due to parameter constraints (Cheung & Rensvold, 2002).

Results

Preliminary Analyses

Descriptive and intercorrelations among variables are presented in Table 1. Correlations were in the expected directions. As expected, within-construct variables were highly correlated. Correlations between each indicator of mothers’ and fathers’ nurturant-involved parenting ranged from r = .17 to .56. Parent education and family income were significantly correlated with manifest indicators of social anxiety symptoms (Spring 6th grade) and substance refusal efficacy (7th grade). Additionally, correlations between social anxiety symptoms and parent psychopathology were statistically significant. Therefore, social anxiety and substance refusal efficacy were regressed on parent education and family income. Social anxiety also was regressed on parent psychopathology.

Table 1.

Descriptive Statistics and Intercorrelations Between Variables

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 M SD
1. MsupW1 - 4.29 0.44
2. MPAW1 .52 - 6.08 0.86
3. Mrej W1 −.35 −.36 - 1.56 0.55
4. MhosW1 −.32 −.33 .48 - 5.09 0.9
5. DsupW1 .17 .13 −.18 −.18 - 4.02 0.6
6. DPAW1 .22 .23 −.36 −.21 .54 - 5.4 1.11
7. DrejW1 −.19 −.16 .56 .33 −.35 −.40 - 1.65 0.59
8. DhosW1 −.16 −.14 .34 .40 −.31 −.32 .47 - 5.19 0.87
9. FNEW1 −.09 −.07 .24 .14 −.10 −.06 .23 .13 - 2.19 0.9
10. SAW1 −.12 −.02 .19 .10 −.03 −.05 .18 .07 .73 - 2.2 0.76
11. FNEW2 −.07 −.04 .28 .19 −.12 −.08 .27 .20 .62 .51 - 2.15 0.9
12. SAW2 −.05 0 .19 .13 −.05 −.06 .26 .09 .50 .64 .70 - 2.15 0.74
13. RE MarjW1 .08 .03 −.11 −.07 .09 .02 −.14 −.03 −.09 −.10 −.04 −.12 - 4.62 1.03
14. RE CigW1 .10 .05 −.12 −.09 .08 .01 −.14 −.03 −.10 −.12 −.05 −.11 .92 - 4.59 1.03
15. RE DrnkW1 .09 .05 −.11 −.07 .08 0 −.13 −.04 −.11 −.11 −.05 −.10 .89 .90 - 4.55 1.05
16. RE MarjW3 .05 .02 −.06 −.06 .10 −.04 −.05 −.14 −.04 −.01 −.08 −.10 .22 .20 .20 - 4.74 0.8
17. RE CigW3 .03 .02 −.06 −.04 .18 .00 −.06 −.14 −.06 −.04 −.14 −.10 .16 .15 .14 .83 - 4.65 0.9
18. RE DrnkW3 .06 .05 −.07 −.05 .18 .03 −.05 −.12 −.06 −.02 −.08 −.05 .18 .19 .22 .74 .80 - 4.51 1.01
19. SUI W1 −.06 −.05 .07 −.12 −.11 −.11 .11 −.08 .11 .10 .07 .05 −.16 −.18 −.17 −.09 −.17 −.18 - .05 .21
20. CigW4 0 .03 .11 .13 −.07 −.03 .12 .08 .05 .05 .09 .10 −.13 −.16 −.22 −.13 −.18 −.21 .24 - 1.15 0.67
21. DrnkW4 .06 .06 .10 .12 −.06 −.06 .11 .11 −.02 0 .02 .01 −.18 −.19 −.21 −.18 −.22 −.25 .20 .64 - 1.19 0.62
22. MarjW4 .04 .02 .08 .11 −.02 −.09 .10 .12 .02 .02 .01 −.01 −.08 −.11 −.15 −.19 −.19 −.16 .22 .55 .60 - 1.12 0.6
23. Cond −.06 −.02 0 −.02 .01 −.05 0 −.01 .04 .08 .05 .06 .01 .02 .02 .05 .03 .01 .03 .03 .07 .09 - 0.98 1.34
24. BioW1 .01 −.05 −.12 .06 .13 .16 −.27 .03 −.16 −.13 −.07 −.08 .04 .04 .02 −.04 −.01 .04 −.18 −.01 −.03 −.09 −.06 - 0.75 0.43
25. EduW1 −.01 −.13 −.18 −.03 .04 −.04 −.24 −.07 −.12 −.16 −.13 −.18 .11 .12 .10 .03 .07 .10 −.08 −.13 −.11 −.10 .11 .09 - 13.31 2.21
26. IncW1 0 −.05 −.18 −.08 .03 −.01 −.20 −.10 −.13 −.18 −.16 −.25 .12 .13 .10 .06 .11 .06 −.12 −.10 −.09 −.06 .02 .15 .51 - 6.05 2.49
27. AlcW1 −.10 .04 .08 .13 −.07 −.08 .06 −.06 .01 .03 .06 −.01 .03 0 .01 .02 .02 −.01 .23 .03 .09 .14 .05 −.04 −.13 −.07 - 1.2 0.3
28. Psych W1 −.17 −.08 .31 −.33 −.19 −.11 .21 −.22 .12 .07 .13 .09 −.01 −.01 −.02 −.06 −.05 −.04 .08 .02 .08 −.01 .05 −.13 −.08 −.18 .22 - 1.34 .33

Note. W1 = Fall 6th grade, W2 = Spring 6th grade, W3 = 7th grade, W4 = 8th grade; M = mother; D = Father; sup = support; PA = positive affect; hos = hostility; rej = rejection; FNE = fear of negative evaluation; SA = social avoidance; RE = refusal efficacy; cig = cigarettes; drnk = drunk; marj = marijuana; cond = study condition; bio = two biological parents; edu = parent education; inc = family income; alc = parent alcohol problems; psych = parent psychopathology. Bolded estimates are significant at p < .05

Primary Analyses

Model fit was good ([χ2(248) = 439.84, p = .00, CFI = .96, RMSEA = .03]; see Figure 1). The standardized regression estimate from Fall to Spring of 6th grade for social anxiety symptoms, as well as the standardized regression estimate from 6th to 7th grades for substance refusal efficacy, demonstrated some stability within these latent constructs. Adequate unshared variance was demonstrated, however, to support examining predictors of change within these constructs over time.

Figure 1.

Figure 1

Model fit is χ2(315) = 5303.33, p = .00, CFI = .96, RMSEA = .04. Estimates are standardized coefficients. *Bolded are significant p< .05. W1 = Fall 6th grade, W2 = Spring 6th grade, W3 = 7th grade, W4 = 8th grade. Correlations within W1 and W4 variables, as well as associations with covariates are not depicted. The correlation between W1 mothers’ and fathers’ nurturant-involved parenting was .68. Social anxiety symptoms W2 and refusal efficacy W3 were regressed on parent education and family income. Social anxiety W2 was also regressed on parent psychopathology. Substance use W4 were regressed on social anxiety W2 and all covariates. Adol = adolescent Sup = support; PA = positive affect; NA = negative affect; Rej = rejection; FNE = fear of negative evaluation; SA = social avoidance; RE = substance refusal efficacy items; Cig = cigarettes; Marj = marijuana.

Although several bivariate correlations among indicators of nurturant-involved parenting and adolescent substance use were statistically significant, in the full path model, mothers’ and fathers’ nurturant-involved parenting were not directly associated with adolescent substance use during 8th grade. Thus, we examined paths through adolescent social anxiety symptoms and substance refusal efficacy. We first examined whether mothers’ and fathers’ nurturant-involved parenting were associated with changes in adolescent social anxiety symptoms. Adolescents who had fathers that exhibited lower levels of nurturant-involved parenting experienced increases in adolescent social anxiety symptoms during 6th grade. Associations were not statistically significant for mothers’ nurturant-involved parenting. In turn, adolescents who experienced higher levels of social anxiety symptoms in 6th grade reported decreases in substance refusal efficacy by the end of 7th grade. Finally, adolescents who reported lower levels of substance refusal efficacy reported a higher frequency of drunkenness, marijuana use, and cigarette use by the end of 8th grade. These effects were significant over and above the influence of early substance initiation during 6th grade.

We then examined the significance of indirect effects. We first examined indirect effects from social anxiety symptoms (Spring of 6th grade) to greater substance use (8th grade) through substance refusal efficacy (7th grade). Greater social anxiety symptoms (Spring of 6th grade) placed adolescents at greater risk for drunkenness (b = .04, β = .04, 95% CI [.004, .10]), marijuana use (b = .03, β = .03, 95% CI [.002, .10]), and cigarette use (b = .03, β = .03, 95% CI [.001, .09]) by means of lowering their ability to refuse substances (7th grade). Then, we extended our tests of indirect effects over three paths, in which father nurturant-involved parenting (Fall of 6th grade) was associated with social anxiety (Spring 6th grade), which was associated with decreases in substance refusal efficacy (Spring 7th grade), and finally, substance use (8th grade). The indirect effect from fathers’ nurturant-involved fathering to drunkenness was statistically significant (b = .01, β = .01, 95% CI [.001, .03]), however, these tests were not upheld across three paths for marijuana use (b = .01, β = .01, 95% CI [.00, .03]) or cigarette use (b = .005, β = .005, 95% CI [.00, .03]).

Multiple group invariance tests were conducted to evaluate whether findings differed for (a) boys and girls and (b) for individuals in the intervention and control conditions of the larger study. Associations did not significantly differ by adolescent gender (ΔCFI < .01). Additionally, associations did not significantly differ for intervention and control groups (ΔCFI < .01). Thus, the model fit equally well for males and females, as well as individuals in the invention and control conditions.

Post-hoc Analyses

In follow-up analyses, we evaluated the possibility that the aggregation of mothers’ and fathers’ reports of drinking problems and psychopathology might obscure findings that have implications for adolescent substance use. Thus, we re-ran models with mothers’ and fathers’ drinking problems and psychopathology as separate covariates in the model. The inclusion of separate measures did not change the pattern of results. Mothers’ and fathers’ drinking problems and psychopathology were not significantly associated with social anxiety or adolescent substance use. Therefore, we retained the original model in favor of parsimony of presentation.

Discussion

Given the multitude of immediate and long-term implications of substance use during early adolescence (Crockett et al., 2006; Moss et al., 2014), it is critical that research examine the factors and processes leading to substance use during early adolescence. Prior research linking parenting to adolescent substance use has emphasized a “deviance” pathway in which parenting behaviors buffer or place adolescents at greater risk for deviant (antisocial) behaviors and/or deviant peer affiliations. In line with a developmental psychopathology perspective that emphasizes that individuals might follow different paths to the same outcome (Cicchetti & Rogosch, 1996), other scholars have expanded beyond deviance models to highlight the importance of internalizing symptoms for substance use. In particular, negative affect regulation models posit that anxious or depressed individuals might engage in greater substance use as a method of coping with their distressing symptoms (Sher, 1991), while other models have highlighted expectations for substance use and social skills deficits as other explanatory mechanisms (Hussong et al., 2011). The current study expands on prior work by examining social anxiety as an alternative risk pathway linking parenting to early adolescent substance use. Specifically, we examined whether lower levels of nurturant-involved parenting affect adolescent substance use by placing adolescents at increased risk for adolescent social anxiety symptoms, which in turn undermine a key protective factor against substance use: adolescent substance refusal efficacy. Strengths of this study include a large sample, four waves of longitudinal data, an autoregressive design that captures change over time, and an examination of both mothers’ and fathers’ parenting.

We found that youth in families with lower levels of nurturant-involved fathering in 6th grade were at increased risk for social anxiety symptoms six months later. In turn, greater social anxiety symptoms decreased adolescents’ efficacy to refuse substances during 7th grade. Adolescents who lacked efficacy to refuse substances engaged in drunkenness, marijuana use, and cigarette use more frequently during 8th grade. Mothers’ nurturant-involved parenting did not heighten adolescent risk for social anxiety symptoms. At the bivariate level, parenting behaviors were significantly correlated with adolescent substance use; however, in the full structural model, the association between parenting behaviors and adolescent substance use were fully accounted for by increases in social anxiety symptoms and subsequent decreases in refusal efficacy.

Our findings suggest that adolescents who are in families where fathers are more hostile, rejecting, and less warm and supportive might feel that they cannot count on their father to respond if they need help. Therefore, they come to lack trust in interpersonal relationships generally, struggle with emotion regulation skills, and lack confidence in navigating the peer context successfully (Kretschmer et al., 2016; Lieberman, Doyle, & Markiewicz, 1999). Our finding that this association was unique to fathers’ parenting after accounting for mothers’ parenting is consistent with prior research (Bögels et al., 2011) and might be due to more generalized differences in parenting that have been observed in families. Fathers typically play a unique role in children’s social competence (Laible & Carlo, 2004) through greater engagement in leisure time (Holmbeck et al., 1995) and weekend social activities (Parke, 2013) in comparison to mothers. According to evolutionary perspectives, these behaviors might reflect tendencies for fathers to promote future social interactions and identify potentially threatening situations, which are central to social anxiety (Bögels & Perotti, 2011). Few studies have examined the unique roles of mothers’ and fathers’ parenting in relation to adolescent social anxiety symptoms; thus, our results represent an important contribution to the research on social anxiety symptoms. Furthermore, it is notable that rejection and hostility were the indicators primarily driving the nurturant-involved parenting latent construct in the current study. Previous research has supported the contribution of a number of parenting behaviors (i.e., rejection, support and positive affect) to adolescent social anxiety symptoms. Our findings suggest however, that fathers’ rejection and hostility might play key roles for increasing social anxiety symptoms in the context of other parenting behaviors (Van Oort et al., 2011).

In turn, we found that social anxiety symptoms undermine an interpersonal skill that is key to substance use prevention: efficacy to refuse substances in the peer context. Self-efficacy theory has noted anxiety as an important contributor to individuals’ confidence that they can successfully engage in behavior (Bandura, 1986). The key components of social anxiety symptoms, including greater anticipation and perceptions of social threat, heightened fears of negative evaluation, and lower confidence in navigating the social realm successfully (Heimberg et al., 2010), likely overwhelm youth with fear of the social consequences if they assert themselves and reject substances offered by peers. Therefore, adolescents with greater social anxiety symptoms lack the confidence that they could refuse substances. Also consistent with self-efficacy theory, our findings indicate that youth who lack confidence to refuse substances will ultimately fail to do so and will engage in substance use more frequently.

Our findings are consistent with prior studies that have found links between social anxiety symptoms, substance refusal efficacy, and substance use (Burke & Stephens, 1997; Gilles et al., 2006). However, our study is the first to our knowledge to test and document longitudinal, sequential links among these constructs and demonstrate that effects of adolescent social anxiety symptoms on substance use two years later operate through reduced adolescent refusal efficacy. Additionally, this study is the first to show that the harmful effects of this process are not specific to one substance; rather, the pathway predicted more frequent drunkenness, tobacco use, and marijuana use. It should be noted, however, that this study only examined substance use frequency. The amount of substance use at any one occasion also has important implications for adolescent development (Berg et al., 2013). Measuring the amount of substance use during any one occasion or the total amount used might help identify patterns of problematic use among adolescents and should be considered in future research.

We found that fathers’ parenting had longer-term effects on adolescent drunkenness three years later through adolescent social anxiety and substance refusal efficacy. The slightly smaller effect sizes between refusal efficacy and adolescent cigarette and marijuana use likely explain the lack of indirect effects from fathers’ parenting to youth cigarette and marijuana use. However, our findings show that lower nurturant-involved fathering is an important risk that sets the stage for cascading influences from increases in social anxiety to lower refusal efficacy, which places youth at risk for more frequent drunkenness, cigarette, and marijuana use. Adolescent substance use is highly influenced by social contexts and peers (Marschall-Lévesque, Castellanos-Ryan, Vitaro, & Séguin, 2014); thus, the salient role of fathers in adolescent socialization (Lieberman et al., 1999) might explain the long-term effects of fathers’ parenting on adolescent drunkenness in comparison to mothers. Few studies have examined the unique role of mothers’ and fathers, however, and scholars do note greater similarities than differences in mothering and fathering generally (see Fagan, Day, Lamb, & Cabrera, 2014 for a review). Moreover, our findings are inconsistent with other studies that have noted indirect effects of parenting on adolescent cigarette and marijuana use (e.g., Lac, Alvaro, Crano, & Siegel, 2009; Van Ryzin et al., 2012); therefore, future research will need to replicate the current findings.

Additionally, the developmental timing of our findings is important. Studies have found that adolescent social anxiety symptoms peak during early to mid-adolescence (12 or 13 years old) (Miers, Blöte, de Rooij, Bokhorst, & Westenberg, 2013). Other research has highlighted that parenting is more salient for social anxiety symptoms during early adolescence versus later adolescence (Van Oort et al., 2011). The middle school transition period might pose particular risk based on these associations, because it is a time when adolescents must navigate new school environments and adjust to disruptions in their adult and friend networks (Kingery et al., 2011). Thus, links between nurturant-involved parenting and social anxiety symptoms might not hold during later developmental periods. Future research will need to examine whether these associations hold over a longer period of time and during other developmental periods.

In contrast to differences in findings based on parent gender, our findings did not reveal any adolescent gender differences in associations. These findings highlight the importance of fathers’ parenting behaviors for substance use regardless of adolescent gender. Evidence from recent cohorts indicates that rates of substance use are very similar for 8th grade boys and girls (Johnston et al., 2011). The results of the current study add to these findings and suggest that processes connecting parenting to substance use through social anxiety and substance refusal efficacy also are an equal risk for adolescent boys and girls.

Limitations

Although this study includes many strengths and contributions, limitations should be noted. First, youth report was used to measure adolescent social anxiety symptoms, refusal efficacy, and substance use, which potentially poses threats of shared method variance among these constructs and inflated associations among variables (Shadish, Cook, & Campbell, 2002). We used parent report of nurturant-involved parenting as one approach of reducing method variance. Although some studies suggest that parents might be biased reporters of their own parenting behaviors (Gonzales, Cauce, & Mason, 1996), other research has found convergence between observational and parent reports on a number of parenting behaviors (Hawes & Dadds, 2006).

Second, the sample consisted of primarily White and semi-rural families. Replication of these findings among more ethnically, racially, and geographically diverse samples is important in order to better understand whether these findings generalize to other populations. Future research also should replicate these findings among other family structures. Third, there were factors not accounted for in this study that might have important implications for the results. Broader aspects of the family context, such as sibling relationships (Whiteman, Jensen, and Maggs, 2013) and interparental conflict (Fosco & Feinberg, in press), have known effects on adolescent substance over and above parenting influences (Whiteman, Jensen, & Maggs, 2013). It will be important for future research to include other aspects of the family context in future research in order to reflect the multifaceted and interconnected nature of family influences on adolescent outcomes. Additionally, although we accounted for the potential influence of parental psychopathology, a recent meta-analysis indicated that a substantial proportion of variance in social anxiety is explained by genetic risk, and genetic contributions were much stronger during childhood than adulthood (Scaini, Belotti, & Ogliari, 2014). Adolescent substance use is also, in part, attributable to genetic influences (Rhee et al., 2003). Thus, unmeasured genetic influences might affect the findings of this study, and it will be important for future research to account for these effects in future research.

Fourth, this study did not account for potential child-driven effects in which social anxiety, refusal efficacy, and substance use influence parenting behaviors over time. This is an important consideration given that previous research has noted bidirectional effects between parenting and adolescent substance use (Elkins, Fite, Moore, Lochman, & Wells, 2014). To its strength, this study did account for the potential bidirectional influences among social anxiety, refusal efficacy, and substance use, and the results indicated that early initiation of substances was a risk for lowering adolescents’ efficacy to refuse substances. Future research should consider utilizing cross-lagged models that account for bidirectional associations and alternative patterns of influence (e.g., see Mak, Fosco, & Feinberg, in press).

Finally, the effect size for the significant indirect effect was small; therefore, this result should be interpreted with caution. However, it should be acknowledged that this study spanned three years and accounted for autoregressive effects on both mediators. These effects were characterized by moderate stability; thus, a smaller effect size should be expected. Traditional guidelines for interpreting effect sizes do not account for autoregressive effects that reduce the size of the association between the predictors and outcomes (Adachi & Willoughby, 2015).

Conclusion

The broader literature that has connected parenting behaviors to adolescent substance use has often emphasized connections through deviance and deviant peer affiliations. Our findings expand the literature by demonstrating that parenting also is salient for youth social anxiety, which hampers youths’ confidence in navigating social situations and increases their risk for substance use. Of importance for prevention efforts, the influence of substance refusal efficacy was consistent for three different types of substance use—drunkenness, cigarette use, and marijuana use—and thus demonstrates the potential for intervening on this pathway and preventing multiple types of substance use. The results underscore the importance for substance use prevention programs to consider the ways in which social anxiety symptoms affect substance use behaviors by undermining adolescents’ efficacy to refuse substances in the peer context. In addition to targeting the family context and parenting behaviors, future prevention efforts might help socially anxious adolescents manage their social fears and develop the necessary interpersonal skills and confidence to refuse substances when offered by friends.

Acknowledgments

This project was supported by the National Institute on Drug Abuse (R01 DA013709), the Karl R. and Diane Wendle Fink Early Career Professorship for the Study of Families, and the National Institute on Drug Abuse of the National Institutes of Health under award numbers P50 DA039838 and T32DA017629. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIDA or the National Institutes of Health. We gratefully acknowledge the contributions of the participating youth and families, and the PROSPER staff, to the success of this project.

Footnotes

1

Excluded families consisted of mother-like caregivers that were extended family members (N = 16), parent’s significant other (N = 10), foster mother (N = 1), and other relationship with the child (N = 1). Father-like caregivers among excluded families consisted of extended family members (N = 11), parent’s significant other (N = 42), foster father (N = 1), and friends (N = 1).

References

  1. Adachi P, Willoughby T. Interpreting effect sizes when controlling for stability effects in longitudinal autoregressive models: Implications for psychological science. European Journal of Developmental Psychology. 2015;12:116–128. doi: 10.1080/17405629.2014.963549. [DOI] [Google Scholar]
  2. Ainsworth MS. Attachments beyond infancy. American Psychologist. 1989;44:709–716. doi: 10.1037/0003-066X.44.4.709. [DOI] [PubMed] [Google Scholar]
  3. Bandura A. The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology. 1986;4:359–373. [Google Scholar]
  4. Beach SR, Lei MK, Brody GH, Yu T, Philibert RA. Nonsupportive parenting affects telomere length in young adulthood among African Americans: Mediation through substance use. Journal of Family Psychology. 2014;28:967–972. doi: 10.1037/fam0000039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Berg N, Kiviruusu O, Karvonen S, Kestilä L, Lintonen T, Rahkonen O, Huurre T. A 26-year follow-up study of heavy drinking trajectories from adolescence to mid-adulthood and adult disadvantage. Alcohol and Alcoholism. 2013;48:452–457. doi: 10.1093/alcalc/agt026. [DOI] [PubMed] [Google Scholar]
  6. Bögels S, Stevens J, Majdandẑić M. Parenting and social anxiety: Fathers’ versus mothers’ influence on their children’s anxiety in ambiguous social situations. Journal of Child Psychology and Psychiatry. 2011;52:599–606. doi: 10.1111/j.1469-7610.2010.02345.x. [DOI] [PubMed] [Google Scholar]
  7. Bögels SM, van Oosten A, Muris P, Smulders D. Familial correlates of social anxiety in children and adolescents. Behaviour Research and Therapy. 2001;39:273–287. doi: 10.1016/s0005-7967(00)00005-x. [DOI] [PubMed] [Google Scholar]
  8. Bögels SM, Perotti EC. Does father know best? A formal model of the paternal influence on childhood social anxiety. Journal of Child and Family Studies. 2011;20:171–181. doi: 10.1007/s10826-010-9441-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Botvin GJ, Schinke SP, Epstein JA, Diaz T, Botvin EM. Effectiveness of culturally focused and generic skills training approaches to alcohol and drug abuse prevention among minority adolescents: Two-year follow-up results. Psychology of Addictive Behaviors. 1995;9:183–194. doi: 10.1037/0893-164X.9.3.18. [DOI] [Google Scholar]
  10. Brody GH, Ge X. Linking parenting processes and self-regulation to psychological functioning and alcohol use during early adolescence. Journal of Family Psychology. 2001;15:82–94. doi: 10.1037/0893-3200.15.1.82. [DOI] [PubMed] [Google Scholar]
  11. Browne MW, Cudeck R. Alternative ways of assessing model fit. In: Bollen KA, Long JS, editors. Testing structural equation models. Newbury Park, CA: Sage; 1993. pp. 136–162. [Google Scholar]
  12. Bruch MA, Rivet KM, Heimberg RG, Levin MA. Shyness, alcohol expectancies, and drinking behavior: Replication and extension of a suppressor effect. Personality and Individual Differences. 1997;22:193–200. [Google Scholar]
  13. Buckner JD, Heimberg RG, Schmidt NB. Social anxiety and marijuana-related problems: The role of social avoidance. Addictive Behaviors. 2011;36:129–132. doi: 10.1016/j.addbeh.2010.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Buckner JD, Turner RJ. Social anxiety disorder as a risk factor for alcohol use disorders: A prospective examination of parental and peer influences. Drug and Alcohol Dependence. 2009;100:128–137. doi: 10.1016/j.drugalcdep.2008.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Buckner JD, Vinci C. Smoking and social anxiety: The roles of gender and smoking motives. Addictive Behaviors. 2013;38:2388–2391. doi: 10.1016/j.addbeh.2013.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Burke RS, Stephens RS. Effect of anxious affect on drinking self-efficacy in college students. Psychology of Addictive Behaviors. 1997;11:65–75. doi: 10.1037/0893-164X.11.1.65. [DOI] [Google Scholar]
  17. Cerdá M, Moffitt TE, Meier MH, Harrington H, Houts R, Ramrakha S, … Caspi A. Persistent cannabis dependence and alcohol dependence represent risks for midlife economic and social problems: a longitudinal cohort study. Clinical Psychological Science. 2016;4:1028–1046. doi: 10.1177/2167702616630958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cicchetti D, Rogosch FA. Equifinality and multifinality in developmental psychopathology. Development and Psychopathology. 1996;8:597–600. [Google Scholar]
  19. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling. 2002;9:233–255. doi: 10.1207/S15328007SEM0902_5. [DOI] [Google Scholar]
  20. Choi HJ, Krieger JL, Hecht ML. Reconceptualizing efficacy in substance use prevention research: refusal response efficacy and drug resistance self-efficacy in adolescent substance use. Health Communication. 2013;28:40–52. doi: 10.1080/10410236.2012.720245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Conger RD, Conger KJ, Elder GH, Lorenz FO, Simons RL, Whitbeck LB. A family process model of economic hardship and adjustment of early adolescent boys. Child Development. 1992;63:526–541. doi: 10.1111/j.1467-8624.1992.tb01644.x. [DOI] [PubMed] [Google Scholar]
  22. Connor JP, George SM, Gullo MJ, Kelly AB, Young RM. A prospective study of alcohol expectancies and self-efficacy as predictors of young adolescent alcohol misuse. Alcohol and Alcoholism. 2011;46:161–169. doi: 10.1093/alcalc/agr004. [DOI] [PubMed] [Google Scholar]
  23. Connor JP, Gullo MJ, Feeney GF, Kavanagh DJ, Young RM. The relationship between cannabis outcome expectancies and cannabis refusal self-efficacy in a treatment population. Addiction. 2014;109:111–119. doi: 10.1111/add.12366. [DOI] [PubMed] [Google Scholar]
  24. Crockett LJ, Raffaelli M, Shen YL. Linking self-regulation and risk proneness to risky sexual behavior: Pathways through peer pressure and early substance use. Journal of Research on Adolescence. 2006;16:503–525. doi: 10.1111/j.1532-7795.2006.00505.x. [DOI] [Google Scholar]
  25. Crouter AC, McHale SM. Temporal rhythms in family life: Seasonal variation in the relation between parental work and family processes. Developmental Psychology. 1993;29(2):198–205. [Google Scholar]
  26. Derogatis LR. SCL-90: Administration, Scoring and Procedure Manual-l for the R (Revised) Version. Johns Hopkins University School of Medicine; Baltimore: 1977. [Google Scholar]
  27. Dishion TJ, Owen LD. A Longitudinal Analysis of Friendships and Substance Use: Bidirectional Influence from Adolescence to Adulthood. Developmental Psychology. 2002;38:480–91. doi: 10.1037//0012-1649.38.4.480. [DOI] [PubMed] [Google Scholar]
  28. Dollinger SJ, Malmquist D. Reliability and validity of single-item self-reports: with special relevance to college students’ alcohol use, religiosity, study, and social life. The Journal of General Psychology. 2009;136:231–242. doi: 10.3200/GENP.136.3.231-242. [DOI] [PubMed] [Google Scholar]
  29. Donaldson SI, Piccinin AM, Graham JW, Hansen WB. Resistance-skills training and onset of alcohol use: Evidence for beneficial and potentially harmful effects in public schools. Health Psychology. 1995;14:291–300. doi: 10.1037//0278-6133.14.4.291. [DOI] [PubMed] [Google Scholar]
  30. Ecker AH, Buckner JD. Cannabis use behaviors and social anxiety: the roles of perceived descriptive and injunctive social norms. Journal of Studies on Alcohol and Drugs. 2014;75:74–82. doi: 10.15288/jsad.2014.75.74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Elkins SR, Fite PJ, Moore TM, Lochman JE, Wells KC. Bidirectional effects of parenting and youth substance use during the transition to middle and high school. Psychology of Addictive Behaviors. 2014;28:475–486. doi: 10.1037/a0036824. [DOI] [PubMed] [Google Scholar]
  32. Elliot DS, Ageton SS, Huizinga D, Knowles BA, Canter RJ. National Estimates of delinquency behavior by sex, race social class and other selected variable. Boulder, CO: Behavioral Research Institute; 1983. The prevalence and incidence of delinquency behavior: 1976–1980. (National youth survey report N°26) [Google Scholar]
  33. Fagan J, Day R, Lamb ME, Cabrera NJ. Should researchers conceptualize differently the dimensions of parenting for fathers and mothers? Journal of Family Theory & Review. 2014;6:390–405. doi: 10.1111/jftr.12044. [DOI] [Google Scholar]
  34. Festa CC, Ginsburg GS. Parental and peer predictors of social anxiety in youth. Child Psychiatry & Human Development. 2011;42:291–306. doi: 10.1007/s10578-011-0215-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Fosco GM, Feinberg ME. Interparental conflict and long-term adolescent substance use trajectories: Examining threat appraisals as a mechanism of risk. Journal of Family Psychology. doi: 10.1037/fam0000356. (In Press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Gilles DM, Turk CL, Fresco DM. Social anxiety, alcohol expectancies, and self-efficacy as predictors of heavy drinking in college students. Addictive behaviors. 2006;31:388–398. doi: 10.1016/j.addbeh.2005.05.020. [DOI] [PubMed] [Google Scholar]
  37. Gonzales NA, Cauce AM, Mason CA. Interobserver agreement in the assessment of parental behavior and parent-adolescent conflict: African American mothers, daughters, and independent observers. Child Development. 1996;67:1483–1498. [PubMed] [Google Scholar]
  38. Groh AM, Fearon RP, Bakermans-Kranenburg MJ, van IJzendoorn MH, Steele RD, Roisman GI. The significance of attachment security for children’s social competence with peers: A meta-analytic study. Attachment & Human Development. 2014;16:103–136. doi: 10.1080/14616734.2014.883636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Hawes DJ, Dadds MR. Assessing parenting practices through parent-report and direct observation during parent-training. Journal of Child and Family Studies. 2006;15:554–567. doi: 10.1007/s10826-006-9029-x. [DOI] [Google Scholar]
  40. Heimberg RG, Brozovich FA, Rapee RM. A cognitive-behavioral model of social anxiety disorder: Update and extension. In: Stefan G, Hofmann PM, editors. Social anxiety: Clinical, developmental, and social perspectives. London, UK: Academic Press; 2010. pp. 395–422. [Google Scholar]
  41. Hiemstra M, Otten R, Engels RC. Smoking onset and the time-varying effects of self-efficacy, environmental smoking, and smoking-specific parenting by using discrete-time survival analysis. Journal of Behavioral Medicine. 2012;35:240–251. doi: 10.1007/s10865-011-9355-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Hingson RW, Edwards EM, Heeren T, Rosenbloom D. Age of drinking onset and injuries, motor vehicle crashes, and physical fights after drinking and when not drinking. Alcoholism: Clinical and Experimental Research. 2009;33:783–790. doi: 10.1111/j.1530-0277.2009.00896.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Holmbeck GN, Paikoff RL, Brooks-Gunn J. Parenting adolescents. In: Bornstein MH, editor. Handbook of Parenting: Vol. 1. Children and Parenting. Erlbaum; Hove, UK: 1995. pp. 91–118. [Google Scholar]
  44. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 1999;6:1–55. doi: 10.1080/10705519909540118. [DOI] [Google Scholar]
  45. Hussong AM, Jones DJ, Stein GL, Baucom DH, Boeding S. An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors. 2011;25:390–404. doi: 10.1037/a0024519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
  47. Kingery JN, Erdley CA, Marshall KC. Peer acceptance and friendship as predictors of early adolescents’ adjustment across the middle school transition. Merrill-Palmer Quarterly. 2011;57:215–243. doi: 10.1353/mpq.2011.0012. [DOI] [Google Scholar]
  48. Knappe S, Beesdo-Baum K, Fehm L, Lieb R, Wittchen HU. Characterizing the association between parenting and adolescent social phobia. Journal of Anxiety Disorders. 2012;26:608–616. doi: 10.1016/j.janxdis.2012.02.014. [DOI] [PubMed] [Google Scholar]
  49. Komro KA, Perry CL, Williams CL, Stigler MH, Farbakhsh K, Veblen-Mortenson S. How did Project Northland reduce alcohol use among adolescents? Analysis of mediating variables. Health Education Research. 2001;16:59–70. doi: 10.1093/her/16.1.59. [DOI] [PubMed] [Google Scholar]
  50. Kretschmer T, Sentse M, Meeus W, Verhulst FC, Veenstra R, Oldehinkel AJ. Configurations of adolescents’ peer experiences: associations with parent–child relationship quality and parental problem behavior. Journal of Research on Adolescence. 2016;26:474–491. doi: 10.1111/jora.12206. [DOI] [PubMed] [Google Scholar]
  51. Johnston LD, O’malley PM, Bachman JG, Schulenberg JE. Monitoring the Future National Survey Results on Drug Use, 1975–2010. Volume II, College Students & Adults Ages 19–50. Institute for Social Research; 2011. [Google Scholar]
  52. Lac A, Alvaro EM, Crano WD, Siegel JT. Pathways from parental knowledge and warmth to adolescent marijuana use: An extension to the theory of planned behavior. Prevention Science. 2009;10(1):22–32. doi: 10.1007/s11121-008-0111-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Laible DJ, Carlo G. The differential relations of maternal and paternal support and control to adolescent social competence, self-worth, and sympathy. Journal of Adolescent Research. 2004;19:759–782. doi: 10.1177/0743558403260094. [DOI] [Google Scholar]
  54. La Greca AM, Lopez N. Social anxiety among adolescents: Linkages with peer relations and friendships. Journal of Abnormal Child Psychology. 1998;26:83–94. doi: 10.1023/a:1022684520514. [DOI] [PubMed] [Google Scholar]
  55. Leung RK, Toumbourou JW, Hemphill SA. The effect of peer influence and selection processes on adolescent alcohol use: a systematic review of longitudinal studies. Health Psychology Review. 2014;8:426–457. doi: 10.1080/17437199.2011.587961. [DOI] [PubMed] [Google Scholar]
  56. Lieb R, Wittchen H, Höfler M, Fuetsch M, Stein MB, Merikangas KR. Parental psychopathology, parenting styles, and the risk of social phobia in offspring: A prospective-longitudinal community study. Archives of General Psychiatry. 2000;57:859–866. doi: 10.1001/archpsyc.57.9.85. [DOI] [PubMed] [Google Scholar]
  57. Lieberman M, Doyle AB, Markiewicz D. Developmental patterns in security of attachment to mother and father in late childhood and early adolescence: Associations with peer relations. Child Development. 1999;70:202–213. doi: 10.1111/1467-8624.00015. [DOI] [PubMed] [Google Scholar]
  58. Lillehoj CJ, Trudeau L, Spoth R, Wickrama KAS. Internalizing, social competence, and substance initiation: Influence of gender moderation and a preventive intervention. Substance Use & Misuse. 2004;39:963–991. doi: 10.1081/ja-120030895. [DOI] [PubMed] [Google Scholar]
  59. Lynskey M, Hall W. The effects of adolescent cannabis use on educational attainment: a review. Addiction. 2000;95:1621–1630. doi: 10.1046/j.1360-0443.2000.951116213.x. [DOI] [PubMed] [Google Scholar]
  60. MacKinnon DP, Lockwood CM, Williams J. Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate behavioral research. 2004;39:99–128. doi: 10.1207/s15327906mbr3901_4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Mak HW, Fosco GM, Feinberg ME. The role of family for youth friendships: examining a social anxiety mechanism. Journal of Youth and Adolescence. doi: 10.1007/s10964-017-0738-9. (In Press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Marschall-Lévesque S, Castellanos-Ryan N, Vitaro F, Séguin JR. Moderators of the association between peer and target adolescent substance use. Addictive Behaviors. 2014;39:48–70. doi: 10.1016/j.addbeh.2013.09.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. McDonald RP, Ho MHR. Principles and practice in reporting structural equation analyses. Psychological methods. 2002;7:64–82. doi: 10.1037/1082-989X.7.1.64. [DOI] [PubMed] [Google Scholar]
  64. Miech RA, Johnston LD, O’malley PM, Bachman JG, Schulenberg JE. Monitoring the Future national survey results on drug use, 1975–2014: Volume I, Secondary school students 2015 [Google Scholar]
  65. Miers AC, Blöte AW, De Rooij M, Bokhorst CL, Westenberg PM. Trajectories of social anxiety during adolescence and relations with cognition, social competence, and temperament. Journal of Abnormal Child Psychology. 2013;41:97–110. doi: 10.1007/s10802-012-9651-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Moss HB, Chen CM, Yi HY. Early adolescent patterns of alcohol, cigarettes, and marijuana polysubstance use and young adult substance use outcomes in a nationally representative sample. Drug and Alcohol Dependence. 2014;136:51–62. doi: 10.1016/j.drugalcdep.2013.12.011. [DOI] [PubMed] [Google Scholar]
  67. Muthén LK, Muthén BO. Mplus 7.11. Los Angeles, CA: Muthén & Muthén; 2013. [Google Scholar]
  68. Odgers CL, Caspi A, Nagin DS, Piquero AR, Slutske WS, Milne BJ, … Moffitt TE. Is it important to prevent early exposure to drugs and alcohol among adolescents? Psychological Science. 2008;19:1037–1044. doi: 10.1111/j.1467-9280.2008.02196.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Padilla-Walker LM, Nelson LJ, Madsen SD, Barry CM. The role of perceived parental knowledge on emerging adults’ risk behaviors. Journal of Youth and Adolescence. 2008;37:847–859. [Google Scholar]
  70. Parke RD. Gender differences and similarities in parental behavior. In: Bradford Wilcox W, Kovner Kline K, editors. Gender and parenthood: Natural and social scientific perspectives. New York, NY: Columbia University Press; 2013. pp. 120–163. [Google Scholar]
  71. Patterson GR, Reid JB, Dishion TJ. Antisocial boys: A social interactional approach. Eugene, OR: Castalia; 1992. [Google Scholar]
  72. Patton GC, Coffey C, Lynskey MT, Reid S, Hemphill S, Carlin JB, Hall W. Trajectories of adolescent alcohol and cannabis use into young adulthood. Addiction. 2007;102:607–615. doi: 10.1111/j.1360-0443.2006.01728.x. [DOI] [PubMed] [Google Scholar]
  73. Pérez A, Ariza C, Sánchez-Martínez F, Nebot M. Cannabis consumption initiation among adolescents: A longitudinal study. Addictive Behaviors. 2010;35:129–134. doi: 10.1016/j.addbeh.2009.09.018. [DOI] [PubMed] [Google Scholar]
  74. Piko BF, Balázs MÁ. Authoritative parenting style and adolescent smoking and drinking. Addictive behaviors. 2012;37:353–356. doi: 10.1016/j.addbeh.2011.11.022. [DOI] [PubMed] [Google Scholar]
  75. Pires P, Jenkins JM. A growth curve analysis of the joint influences of parenting affect, child characteristics and deviant peers on adolescent illicit drug use. Journal of Youth and Adolescence. 2007;3:169–183. doi: 10.1007/s10964-006-9127-5. [DOI] [Google Scholar]
  76. Preacher KJ, Rucker DD, Hayes AF. Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research. 2007;42:185–227. doi: 10.1080/00273170701341316. [DOI] [PubMed] [Google Scholar]
  77. Redmond C, Spoth RL, Shin C, Schainker LM, Greenberg MT, Feinberg M. Long-term protective factor outcomes of evidence-based interventions implemented by community teams through a community–university partnership. The Journal of Primary Prevention. 2009;30:513–530. doi: 10.1007/s10935-009-0189-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Rhee SH, Hewitt JK, Young SE, Corley RP, Crowley TJ, Stallings MC. Genetic and environmental influences on substance initiation, use, and problem use in adolescents. Archives of General Psychiatry. 2003;60:1256–1264. doi: 10.1001/archpsyc.60.12.1256. [DOI] [PubMed] [Google Scholar]
  79. Scaini S, Belotti R, Ogliari A. Genetic and environmental contributions to social anxiety across different ages: a meta-analytic approach to twin data. Journal of Anxiety Disorders. 2014;28:650–656. doi: 10.1016/j.janxdis.2014.07.002. [DOI] [PubMed] [Google Scholar]
  80. Scheier LM, Botvin GJ, Diaz T, Griffin KW. Social skills, competence, and drug refusal efficacy as predictors of adolescent alcohol use. Journal of Drug Education. 1999;29:251–278. doi: 10.2190/M3CT-WWJM-5JAQ-WP15. [DOI] [PubMed] [Google Scholar]
  81. Schinke SP, Fang L, Cole KC. Substance use among early adolescent girls: risk and protective factors. Journal of Adolescent Health. 2008;43:191–194. doi: 10.1016/j.jadohealth.2007.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Schlomer GL, Bauman S, Card NA. Best practices for missing data management in counseling psychology. Journal of Counseling Psychology. 2010;57:1–10. doi: 10.1037/a0018082. [DOI] [PubMed] [Google Scholar]
  83. Schwartz SJ, Zamboanga BL, Ravert RD, Kim SY, Weisskirch RS, Williams MK, … Finley GE. Perceived parental relationships and health-risk behaviors in college-attending emerging adults. Journal of Marriage and Family. 2009;71:727–740. doi: 10.1111/j.1741-3737.2009.00629.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Siennick SE, Widdowson AO, Woessner M, Feinberg ME. Internalizing symptoms, peer substance use, and substance use initiation. Journal of Research on Adolescence. 2016;26:645–657. doi: 10.1111/jora.12215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Simons RL, Johnson C, Beaman J, Conger RD. Explaining women’s double jeopardy: Factors that mediate the association between harsh treatment as a child and violence by a husband. Journal of Marriage and the Family. 1993:713–723. [Google Scholar]
  86. Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. Houghton-Mifflin; Boston: 2002. [Google Scholar]
  87. Sher KJ. Children of alcoholics: A critical appraisal of theory and research. University of Chicago Press; 1991. [Google Scholar]
  88. Spoth R, Greenberg M, Bierman K, Redmond C. PROSPER community–university partnership model for public education systems: Capacity-building for evidence-based, competence-building prevention. Prevention Science. 2004;5:31–39. doi: 10.1023/B:PREV.0000013979.52796.8b. [DOI] [PubMed] [Google Scholar]
  89. Spoth R, Guyll M, Lillehoj CJ, Redmond C, Greenberg M. Prosper study of evidence-based intervention implementation quality by community–university partnerships. Journal of Community Psychology. 2007;35:981–999. doi: 10.1002/jcop.20207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Spoth R, Redmond C, Shin C. Direct and indirect latent-variable parenting outcomes of two universal family-focused preventive interventions: extending a public health-oriented research base. Journal of Consulting and Clinical Psychology. 1998;66:385–399. doi: 10.1037/0022-006X.66.2.385. [DOI] [PubMed] [Google Scholar]
  91. Steinberg L, Monahan KC. Age differences in resistance to peer influence. Developmental Psychology. 2007;43:1531–1543. doi: 10.1037/0012-1649.43.6.1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Taylor AB, MacKinnon DP, Tein JY. Tests of the three-path mediated effect. Organizational Research Methods. 2008;11:241–269. [Google Scholar]
  93. Tein JY, Roosa MW, Michaels M. Agreement between parent and child reports on parental behaviors. Journal of Marriage and the Family. 1994:341–355. [Google Scholar]
  94. Tillfors M, Van Zalk N. Easier to accelerate than to slow down: Contributions of developmental neurobiology for the understanding of adolescent social anxiety. In: Ranta K, La Greca AM, Garcia-Lopez L, Marttunen M, editors. Social Anxiety and Phobia in Adolescents: Development, Manifestation and Intervention Strategies. Switzerland: Springer International Publishing; 2015. pp. 71–94. [Google Scholar]
  95. Van Oort FVA, Greaves-Lord K, Ormel J, Verhulst FC, Huizink AC. Risk indicators of anxiety throughout adolescence: the TRAILS study. Depression and Anxiety. 2011;28:485–494. doi: 10.1002/da.20818. [DOI] [PubMed] [Google Scholar]
  96. Van Ryzin MJ, Fosco GM, Dishion TJ. Family and peer predictors of substance use from early adolescence to early adulthood: An 11-year prospective analysis. Addictive behaviors. 2012;37:1314–1324. doi: 10.1016/j.addbeh.2012.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Velleman RD, Templeton LJ, Copello AG. The role of the family in preventing and intervening with substance use and misuse: a comprehensive review of family interventions, with a focus on young people. Drug and Alcohol Review. 2005;24:93–109. doi: 10.1080/09595230500167478. [DOI] [PubMed] [Google Scholar]
  98. Whiteman SD, Jensen AC, Maggs JL. Similarities in adolescent siblings’ substance use: Testing competing pathways of influence. Journal of Studies on Alcohol and Drugs. 2013;74:104–113. doi: 10.15288/jsad.2013.74.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Williams CL, Toomey TL, McGovern PG, Wagenaar AC, Perry CL. Development, reliability, and validity of self-reported alcohol-use measures with young adolescents. Journal of Child & Adolescent Substance Abuse. 1995;4:17–40. [Google Scholar]
  100. Wittchen HU, Fehm L. Epidemiology, patterns of comorbidity, and associated disabilities of social phobia. Psychiatric Clinics of North America. 2001;24:617–641. doi: 10.1016/s0193-953x(05)70254-9. [DOI] [PubMed] [Google Scholar]
  101. Wynn SR, Schulenberg J, Kloska DD, Laetz VB. The mediating influence of refusal skills in preventing adolescent alcohol misuse. Journal of School Health. 1997;67:390–395. doi: 10.1111/j.1746-1561.1997.tb07183.x. [DOI] [PubMed] [Google Scholar]
  102. Wynn SR, Schulenberg J, Maggs JL, Zucker RA. Preventing alcohol misuse: The impact of refusal skills and norms. Psychology of Addictive Behaviors. 2000;14:36–47. doi: 10.1037//0893-164x.14.1.36. [DOI] [PubMed] [Google Scholar]
  103. Zucker RA, Donovan JE, Masten AS, Mattson ME, Moss HB. Early developmental processes and the continuity of risk for underage drinking and problem drinking. Pediatrics. 2008;121:S252–S272. doi: 10.1542/peds.2007-2243. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES