Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors Monika Wadolowski, PhD,a Delyse Hutchinson, PhD,a,b Raimondo Bruno, PhD,a,c Alexandra Aiken, BS,a Jackob M. Najman, PhD,d Kypros Kypri, PhD,e Tim Slade, PhD,a Nyanda McBride, PhD,f Richard P. Mattick, PhDa BACKGROUND: Parents are a major supplier of alcohol to adolescents, often initiating use with abstract sips. Despite harms of adolescent alcohol use, research has not addressed the antecedents of such parental supply. This study investigated the prospective associations between familial, parental, peer, and adolescent characteristics on parental supply of sips. METHODS: Participants were 1729 parent–child dyads recruited from Grade 7 classes, as part of the Australian Parental Supply of Alcohol Longitudinal Study. Data are from baseline surveys (Time 1) and 1-year follow-up (Time 2). Unadjusted and adjusted logistic regressions tested prospective associations between Time 1 familial, parental, peer, and adolescent characteristics and Time 2 parental supply. RESULTS: In the fully adjusted model, parental supply was associated with increased parent- report of peer substance use (odds ratio [OR] = 1.20, 95% confidence ratio [CI], 1.08–1.34), increased home alcohol access (OR = 1.07, 95% CI, 1.03–1.11), and lenient alcohol-specific rules (OR=0.88, 95% CI, 0.78–0.99). CONCLUSIONS: Parents who perceived that their child engaged with substance-using peers were more likely to subsequently supply sips of alcohol. Parents may believe supply of a small quantity of alcohol will protect their child from unsupervised alcohol use with peers. It is also possible that parental perception of peer substance use may result in parents believing that this is a normative behavior for their child’s age group, and in turn that supply is also normative. Further research is required to understand the impacts of such supply, even in small quantities, on adolescent alcohol use trajectories. aNational Drug and Alcohol Research Centre, Faculty of Medicine, University of New South Wales, Sydney, New WHAT’S KNOWN ON THIS SUBJECT: Adolescent South Wales 2052, Australia; dQueensland Alcohol and Drug Research and Education Centre, University of alcohol use is associated with major long-term Queensland, Brisbane, Queensland 4072, Australia; eCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales 2308, Australia; and fNational harms. Parents are a major supplier of alcohol to Drug Research Institute, Curtin University, Perth, Western Australia 6845, Australia bSchool of Psychology, adolescent children, often initiating their child’s Faculty of Health, Deakin University, Burwood, Victoria, Australia cSchool of Psychology, Faculty of Health, alcohol use with sips. However, no research has University of Tasmania, Hobart, Tasmania, Australia addressed the antecedents of such supply. Dr Wadolowski contributed to the conceptualization and design of the study, contributed to the WHAT THIS STUDY ADDS: Parental factors (parental design of the data collection instruments, coordinated and supervised data collection, wrote the perception of substance-using peers, home alcohol statistical analysis plan, conducted and interpreted the statistical analyses, drafted and revised access, lenient alcohol-specific rules, and initial the manuscript, and approved the final draft of the manuscript; Dr Hutchinson contributed to parental supply of alcohol sips) and previous child the conceptualization and design of the study, contributed to the design of the data collection sipping predicted subsequent parental supply of instruments, critically reviewed the manuscript, and approved the final draft of the manuscript; Asst Prof Bruno contributed to the conceptualization and design of the study, coordinated and alcohol sips. supervised data collection, assisted with analysis planning, contributed to the interpretation of the statistical analyses, critically reviewed the manuscript, and approved the final draft of the manuscript; Ms Aiken coordinated and supervised data collection, critically reviewed the To cite: Wadolowski M, Hutchinson D, Bruno R, et al. manuscript, and approved the final draft of the manuscript; Prof Najman contributed to the Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors. Pediatrics. 2016; 137(3):e20152611 Downloaded from www.aappublications.org/news by guest on February 9, 2021 PEDIATRICS Volume 137, number 3, March 2016:e20152611 ARTICLE
Early adolescent alcohol initiation supply of sips. The lack of such from parent–child dyads. Of these is associated with increased risk prospective research runs the risk 1896 dyads, complete data were of: delinquent behavior1; physical that the reasons for supply provided available for 1840 adolescent and injury2; poor adolescent health by parents are post hoc explanations 1870 parent T1 surveys, resulting in and well-being3,4; and alcohol- and may obscure some antecedents a total of 1808 parent–child dyads use disorders.1 Alcohol use often of supply. with complete data. Data were commences with a sip(s)/taste(s) Our aim was to comprehensively imputed for T1 surveys in 15 cases, of alcohol, rather than consuming investigate how parental supply of using the PRELIS application in the whole drinks.5–7 By age 13, up to sips of alcohol to adolescent children LISREL program.26 When a case was 60% of adolescents have had a at age 14 years was prospectively missing a single item on a scale, the sip/taste of alcohol5,8–14; sipping associated with a range of: (1) dataset was searched for the same is more prevalent than drinking familial, parental, and adolescent pattern of responses on that specific in this age group.5,6,10,15 Sipping demographic characteristics; (2) scale within other cases. When is associated with increased risk parent behaviors including alcohol multiple response patterns matched of early adolescent drinking and consumption, alcohol availability, in the dataset, a reliability estimate binge drinking,12,16 but the area of alcohol-specific rules, and parenting was generated. Only imputations sipping is under-researched. Despite practices; (3) peer substance use and with high reliability (0.999, ie, a recommendations that parents avoid alcohol attitudes; and (4) individual LISREL variance ratio = 0.001) providing alcohol to children,15 adolescent psychological behaviors. were accepted. This in turn assured parents remain a major supplier These factors were selected based confidence in the accuracy of the of alcohol to adolescent children, on several theoretical perspectives imputed data.27 This provided a total including sips.17,18 Reasons for this identifying their importance in of 1823 parent–child dyads at T1. Of early supply are particularly poorly understanding adolescent alcohol these 1823 dyads, 1752 adolescents studied, with a recent exception,9 use, including problem behavior and 1746 parents (87.0% were where 60% to 70% of mothers theory, socialization theory, the mothers) returned follow-up surveys disagreed that supplying access to social development model, and social 1 year later (Time 2 [T2]), resulting sips was beneficial. Those authors learning theory.24,25 in 1729 (94.8% of dyads with note9 that what remains unstudied complete data at T1) T2 dyads, the are the antecedents associated sample used in the present analyses. with parental supply of sips. METHODS Understanding these reasons may The sample was similar to the inform on ways to advise parents Sample Australian population on important about reducing alcohol access. Grade 7 adolescents and 1 parent demographic factors. Males were recruited for the Australian comprised 55% of the adolescent Although the characteristics Parental Supply of Alcohol sample (51% of 12- to 13-year- predicting parental supply of alcohol Longitudinal Study, and methods olds in the Australian adolescent are poorly documented, some are described elsewhere.15 Families population),28 and 81% of children observers suggest parents supply came from 49 Independent (49.0%), lived in 2-parent households sips to inoculate their children Government (38.8%), and Catholic (80.0% of 2-parent households in against heavy drinking,19 while also (12.2%) secondary schools across 3 the Australian population),29 and acknowledging that little is known states: New South Wales, Tasmania, socioeconomic status (SES)30 showed about the antecedents of children and Western Australia. A total of our sample was very similar to the sipping.6,8,20 Recent research on why 2017 families expressed interest Australian population.31 Rates of parents provide alcohol suggests it is in the study, but 90 families were alcohol use in our sample (parents to decrease consumption and teach ineligible, as 16 adolescents were not and adolescents) were also similar children to resist peer pressure.9 in Grade 7 and 74 parents did not to those in Australian population However, the limited research on sign informed consent, yielding 1927 surveys. In a school-based population factors associated with parental eligible parent–adolescent dyads. Of survey, any lifetime alcohol use supply has focused on parental the surveys sent, 1910 adolescents was reported by 67.3% of 12- to attitudes, used only cross-sectional (99.1%; mean age = 12.9-years- 13-year-olds,32 compared with 67.8% designs, or focused on supply of old, SD = 0.5), and 1913 parents of adolescents in our sample at T1 whole drinks.9,21–23 There are no (99.3%) returned baseline surveys (mean age = 12.9 years). Parents prospective studies investigating (Time 1 [T1]), which included reported the following frequencies what parent and adolescent written consent. Of the returned of T1 alcohol use: 2.7% daily, 48.5% characteristics predict parental T1 surveys, 1896 (98.4%) were weekly, 39.2% less than weekly, Downloaded from www.aappublications.org/news by guest on February 9, 2021 2 WADOLOWSKI et al
and 9.6% not in the past 12 months. scoring 10% of areas.30 For the Adolescents responded to 10 items This was similar to the Australian analyses, deciles were collapsed into on their parents’ rules about drinking population aged >18-years-old: 7.7% 3 categories: low SES (deciles 1–3), and binge drinking frequency and daily, 41.7% weekly, 33.0% less than medium SES (deciles 4–7), and high quantity, and whether drinking weekly, and 7.7% not in the past SES (deciles 8–10). Parent religiosity: was permitted in supervised and 12-months.33 One item asked how important unsupervised contexts.36 Family religion was to them (very important, conflict: Parents responded to 3 Families completed surveys either pretty important, and not/only a items about the frequency of family via paper hardcopy or online. To little important). disagreements.37 Positive family maintain privacy, all paper surveys relations: Parents responded to were sent individually to parents Parental Alcohol Use another 3 items regarding family and adolescents, and each survey Consumption was based on the relationship quality.37 Parental included its own reply-paid envelope Alcohol Use Disorders Identification monitoring: 6 items assessed for returning surveys. Where Test short-form scale, AUDIT-C: adolescent report of monitoring, available, links to online surveys quantity, frequency, and heavy such as whether parents knew about were e-mailed directly to parents episodic use.34 Seven responses their peers, plans with peers, and and adolescents. Participants were measured quantity, ranging from 1–2 unsupervised activities.38 Parenting reimbursed 10 AUD for their time drinks to 13 or more drinks. These consistency: Parents responded to completing each survey. Paper and options were then collapsed into 5 10 items assessing the consistency of online surveys each had 3 reminders, categories: 1–2 drinks to 10 or more using discipline and enforcing rules.39 including resending surveys and drinks. Frequency of alcohol use was telephone calls. Approval to conduct Peers measured with 8 categories, which this research was received by the were collapsed into: never, less often Substance-using peers: Parents University of New South Wales (than monthly), monthly or less, 2–4 were asked whether they thought Human Research Ethics Committee times a month, 2–3 times a week, and their child’s friends: had tried (approval number 10144), and 4 or more times a week. Frequency alcohol; drank alcohol regularly; this study is registered at www. of heavy episodic use (more than and drank to get drunk. Adolescents clinicaltrials.gov (identification four standard drinks on a single also reported peer alcohol and number NCT02280551). occasion) was measured with 8 tobacco use, responding to 6 items, Variables categories, collapsed into: never, less including whether their friends than monthly, monthly, weekly, daily smoked cigarettes, drank alcohol, Outcome Variable: Parental Supply of a or almost daily. These 3 items were and the frequency of drunkenness.40 Sip at T2 then summed, with higher scores Peer disapproval of substance use: At both T1 and T2, parents were indicating increased parental alcohol Four items asked adolescents about asked: “In the last 12-months, did use. Cronbachs α for this measure, whether their friends disapproved of you/your partner give your child a and the other scales and variables tobacco use and alcohol use.40 sip or taste of alcohol?” The response included in the analyses, are available option was a dichotomous yes or no. elsewhere.6 Individual Adolescent Behaviors Alcohol use: Adapted from the Familial Demographics Parenting Practices Australian National Drug Strategy Household composition: Adolescents Context of parental suppy: If parents Household Survey, adolescents were were asked whether they lived had supplied a sip, they were also asked: “In the last six months, on a in 1- or 2-parent households asked “In the last 12 months, when day that you have an alcoholic drink, (including step-parents). SES: you/your partner have given your how many standard drinks do you Family geographical locations were child alcohol, how many times have usually have?” There were 7 response categorized into deciles from a you provided it in these situations…” options, including a sip/taste of standardized Australian population with response options being: with alcohol. At T1, 14.1% of adolescents measure, the Index of Relative family on a holiday or special reported sipping and 5.5% reported Socioeconomic Advantage and occasion; with family at dinner; and consuming a whole drink. At T2, Disadvantage. The deciles were at parent-supervised parties. Home sipping increased to 25.2%, whereas distributed between 10 equal groups, alcohol access: Parents completed 5 7.8% of adolescents reported with the first decile representing the items about access and availability of drinking. The 7 response options were lowest scoring 10% of Australian alcohol in the family home, such as collapsed into 3 categories: abstainer, geographical areas, and the tenth whether they kept track of, or locked sipper (only sip[s]), and drinker (at decile representing the highest up, alcohol.35 Alcohol-specific rules: least 1 whole drink). Externalizing Downloaded from www.aappublications.org/news by guest on February 9, 2021 PEDIATRICS Volume 137, number 3, March 2016 3
behaviors: Adolescents completed the TABLE 1 Descriptive Statistics for Time 2 Parental Supply by Time 1 Familial, Parental, Adolescent rule-breaking and aggressive behavior and Peer Characteristics (N = 1729) subscales from the Achenbach youth Time 1 Characteristics (Score Range) Time 2 Parental Supply Mean (SD) or % self-report.41 Internalizing behaviors: No Supplya (n = 1279) Supplyb (n = 450) Adolescents also completed the Familial demographics withdrawn-depressed and anxious- Age (years) 12.4 (0.5) 12.5 (0.6) depressed subscales from the youth Adolescent sex, % self-report.41 Male 75.2 24.8 Female 72.6 27.4 Data Analyses Household composition, % Two-parent household 74.1 25.9 Planned logistic regression One-parent household 73.4 26.7 analyses first tested for unadjusted Importance of religion, % associations between T1 variables Very important 76.4 23.6 Pretty important 76.2 23.8 and T2 parental supply of a sip. A Not, or only a little, important 73.0 27.0 multivariate, logistic regression Socioeconomic status, % analysis, adjusting for all T1 High 75.6 24.4 covariates (regardless of the Medium 74.3 25.7 significance of their associations with Low 67.4 32.6 Parental supply of sips of alcohol, % T2 supply), was then conducted to Noa 86.1 13.9 test for associations with T2 supply. Yesb 43.2 56.8 The adjusted model also controlled Parent alcohol use for clustering at the school level and Total consumption (Score: 0–12) 3.8 (2.2) 4.3 (1.9) tested for multicollinearity. Analyses Parenting practices Home alcohol access(P) (Score: 6–30) 16.8 (3.7) 17.7 (3.3) were conducted in Stata/SE 11.2,42 Alcohol-specific rules(A) (Score: 10–50) 49.6 (1.3) 48.9 (2.2) using logistic and cluster commands. Family conflict(P) (Score: 3–6) 3.7 (0.9) 3.8 (0.9) Positive family relations(P) (Score: 3–6) 5.9 (0.5) 5.9 (0.4) Parental monitoring(A) (Score: 6–30) 27.8 (3.0) 27.5 (3.4) RESULTS Parenting consistency(P) (Score 5–25) 21.4 (2.7) 21.3 (2.7) Adolescent peers Descriptive Analyses Peer substance use(P) (Score: 3–15) 4.3 (1.3) 5.0 (1.4) Peer substance use(A) (Score: 6–30) 7.9 (2.6) 8.9 (3.0) Supply was reported by 24.4% of Peer disapproval of substance use(A) (Score: 4–12) 10.9 (1.9) 10.5 (2.1) parents (95% CI, 22.3826.43) at T2. Adolescent behaviors Supply typically occurred in familial Adolescent alcohol use(A), % contexts, such as holidays and Abstainerc 80.8 19.2 Sipperd 41.8 58.2 special occasions (68.0%, 95% CI, Drinkere 56.8 43.2 63.53–72.16), family dinners (50.0%, Externalizing behaviors(A) (Score: 0–60) 5.3 (5.9) 6.2 (6.3) 95% CI, 45.38–54.62), and parties Internalizing behaviors(A) (Score: 0–40) 4.3 (5.1) 4.6 (5.5) (10.4%, 95% CI, 7.93–13.64). Table 1 (A), Adolescent report; (P), parent report. presents the means and proportions a Parent, and/or their partner, did not supply sips of alcohol in the past six months. b Parent, and/or their partner, supplied sips of alcohol on at least one occasion in the past 6 months. of T2 supply in relation to T1 familial, c Did not consume any alcohol in the past 6 months. parental, peer, and individual d Consumed only a sip(s) of alcohol. adolescent characteristics. e Consumed at least a whole drink in the past 6 months. Unadjusted Analyses associated with decreased T1 reports increases, and in turn become more Compared with no supply, T2 supply of: parental alcohol-specific rules pronounced when examining larger was associated with increased T1 (OR = 0.73, P < .001); and perceived increases in the respective scales. reports of: parental alcohol use (OR = peer disapproval of substance use 1.12, P < .001), home access to alcohol (OR = 0.91, P < .001). Notably, T2 supply Adjusted Analyses (OR = 1.08, P < .001), perceived peer had no unadjusted associations with The multivariate logistic model was substance use among both parents parenting factors such as monitoring, significant (χ2(22) = 1158.40, P < .001) and adolescents (parent-report OR = parenting consistency, relationship (Table 2). Notably, in adjusting for all 1.37, P < .001; and adolescent-report quality, family conflict, or household familial demographic, parental, peer, OR = 1.13, P < .001), and externalizing composition. While some of these ORs and individual adolescent factors, problems (OR = 1.02, P = .009) (Table appear small, ORs for scales represent only a few T1 variables retained 2). Conversely, T2 supply was also differences based on single unit significant associations with T2 Downloaded from www.aappublications.org/news by guest on February 9, 2021 4 WADOLOWSKI et al
supply. Compared with no supply, TABLE 2 Unadjusted and Adjusted Associations Between Time 2 Parental Supply and Time 1 Familial, these factors were: increased home Parental, Adolescent, and Peer Characteristics (N = 1729) alcohol access (OR = 1.07, P < .001), Time 1 Characteristics Time 2 Parental Supply of Sips of Alcohol the effect of which did not change from Unadjusted Adjusted unadjusted analyses; increased parent OR 95% CI OR 95% CI perception that their child engaged Familial demographics with substance-using peers (OR = Adolescent age 1.26* 1.05–1.52 0.98 0.82–1.17 1.20, P < .001); and decreased parental Adolescent sex alcohol-specific rules (OR = 0.88, P = Male 1.00a — 1.00a — .033). Adjusting for the type 1 error Female 1.14 0.92–1.42 1.25 0.97–1.62 rate (Bonferroni adjusted α = 0.05/28 Household composition Two-parent household 1.00a — 1.00a — = 0.0018), the association of alcohol- One-parent household 1.04 0.79–1.37 0.92 0.69–1.23 specific rules was no longer significant, Importance of religion but the other associations remained Very important 1.00a — 1.00a — significant at
externalizing problems, peer alcohol access and lenient parental alcohol be relevant, but we have conducted use, and alcohol use approval by rules (which was nonsignificant a comprehensive adjustment peers.8,11,14 In our unadjusted after adjusting for capitalization on using variables known to predict analyses, externalizing problems, chance). Although parental alcohol drinking, so the effect of unmeasured adolescent perception of substance- use predicted parental supply in unobserved covariates is likely to be using peers, and parent perception unadjusted analyses, this association small. Fourth, we have not been able of substance-using peers, each disappeared in the adjusted model. It to assess the long-term associations predicted subsequent parental supply. is possible that home alcohol access of early exposure to sips, which is a However, after adjusting for a wide and lenient alcohol rules accounted matter for our ongoing work on this range of familial, parental, peer, and for parental alcohol use. In previous cohort and not the focus of this paper. adolescent factors, only parent factors studies8,9,12 and our present sample, (parental perception of substance- parental supply occurred mostly in using peers, home alcohol access, and familial social contexts. To this end, lenient alcohol-specific rules) retained parental alcohol use may provide CONCLUSIONS significant predictive associations. access and opportunity for parents Compared with parents who did not to introduce alcohol to their child in The findings of this study are supply alcohol, parents were more supervised, familial contexts. Likewise, important because we identify likely to supply it if they perceived that the associations between lenient prospective predictors of parental their child was mixing with substance- alcohol rules and home alcohol access supply of sips of alcohol, one of the using peers and were more lenient on parental supply may increase first stages of drinking. The results about alcohol access. This result is adolescent perception of parental show that parental perceptions of consistent with recent longitudinal alcohol permissiveness, which whether their child engages with findings, where the strongest increases the risk of early drinking substance-using peers are a significant antecedents of sipping were parenting initiation.16 predictor of parental supply of factors, whereas child psychosocial sips, along with home access and proneness (such as externalizing) This study has a number of strengths. lenient alcohol rules. Parents may be had no association.10 It seems The sample comprised a large-scale supplying sips of alcohol in response parents may supply a sip of alcohol in cohort of young adolescents and 1 of to believing their child will be exposed response to perceiving that their child their parents, recruited across a range to unsupervised alcohol use with their has substance-using peers and are of sites, and Australia is a multicultural peers. However, they may be wrong in motivated to inoculate their children country increasing generalizability of their belief, and may be prematurely from the potential risk of unsupervised the results. The prospective design introducing their children to a alcohol use and binge drinking with accounted for a wide range of different behavior that may have marked risks. peers.9 In that regard, parents may be parent and child characteristics, Replication is needed, and research reacting to a perceived risk of their using both adolescent- and parent- is required on whether supply of adolescent child’s peers’ likelihood of report. Some limitations should sips quickly transitions to supply of drinking, which may not be manifest; be considered. First, participants whole drinks, and whether predictors they may be trying to inoculate against were not randomly selected from of supply differ with increasing a nonexistent threat. the population, increasing the risk adolescent age and alcohol experience. of self-selection and nonresponse Turning from the transitions of Parental supply of sips may be biases. However, as outlined earlier parental behaviors to the transitions motivated by the belief that smaller and elsewhere,15,28,29,33 the sample in actual adolescent drinking, it is also quantities will protect their child reported many similarities on a necessary to better understand how from unsupervised alcohol use with range of demographic and alcohol parental supply, even sips, relates to peers and associated harms, such as use variables with the Australian the trajectories of adolescent from binging.9 Sipping has been associated population, suggesting selective sipping to drinking and to binging. with parental alcohol socialization nonresponse biases were minimized. and lenient alcohol rules,8,10,11,14 and Second, self-report of parental supply described as an opportunistic behavior may have resulted in social desirability ABBREVIATIONS for parents to introduce alcohol in bias, where parents may have under- CI: confidence interval supervised contexts.8 Consistent with reported supply, fearing negative OR: odds ratio these notions, the only parenting social consequences, but this should SES: socioeconomic status practices associated with supply in reduce associations, so the results T1: time 1 the present unadjusted and adjusted found are likely to be robust. Third, T2: time 2 analyses were increased home alcohol other unmeasured covariates may Downloaded from www.aappublications.org/news by guest on February 9, 2021 6 WADOLOWSKI et al
conceptualization and design of the study, contributed to the design of the data collection instruments, critically reviewed the manuscript, and approved the final draft of the manuscript; Prof Kypri contributed to the conceptualization and design of the study, contributed to the design of the data collection instruments, critically reviewed the manuscript, and approved the final draft of the manuscript; Asst Prof Slade contributed to the conceptualization and design of the study, contributed to the design of the data collection instruments, critically reviewed the manuscript, and approved the final draft of the manuscript; Dr McBride coordinated and supervised data collection, critically reviewed the manuscript, and approved the final draft of the manuscript; and Prof Mattick contributed to the conceptualization and design of the study, contributed to the design of the data collection instruments, coordinated and supervised data collection, contributed to revising the manuscript, and approved the final draft of the manuscript. This trial has been registered at www.clinicaltrials.gov (identifier NCT02280551). Dr Bruno’s current affiliation is School of Psychology, Faculty of Health, University of Tasmania, Hobart, Tasmania, Australia. DOI: 10.1542/peds.2015-2611 Accepted for publication Dec 2, 2015 Address correspondence to Dr Monika Wadolowski, National Drug and Alcohol Research Centre, Faculty of Medicine, University of New South Wales, Sydney, New South Wales 2052, Australia. E-mail: m.wadolowski@unsw.edu.au. PEDIATRICS (ISSN Numbers: Print, 0031-4005; Online, 1098-4275). Copyright © 2016 by the American Academy of Pediatrics FINANCIAL DISCLOSURE: The authors have no financial relationships relevant to this article to disclose. POTENTIAL CONFLICT OF INTEREST: The authors have no potential conflicts of interest to disclose. FUNDING: Supporteded by: a 2010–2014 Australian Research Council Discovery Project grant (DP:1096668) to Prof Mattick, Prof Najman, Prof Kypri, Asst Prof Slade, and Dr Hutchinson; an Australian Rotary Health Mental Health Research grant to Prof Mattick, Dr Wadolowski, Prof Najman, Prof Kypri, Asst Prof Slade, Dr Hutchinson, and Asst Prof Bruno; an Australian Rotary Health Whitcroft Family PhD Scholarship Mental Health Research Companion grant to Dr Wadolowski; a University of New South Wales Australian Postgraduate Award to Dr Wadolowski; a National Health and Medical Research Council Principal Research Fellowship grant to Prof Mattick (APP1045318) and Prof Kypri (GNT0188568, APP1041867); National Health and Medical Research Council project grants to Prof Mattick for the Longitudinal Cohorts Research Consortium (GNT1009381 and GNT1064893); and a Research Innovation grant from the Australian Foundation for Alcohol Research and Education to Prof Mattick, Prof Najman, Prof Kypri, Asst Prof Slade, Dr Hutchinson, Asst Prof Bruno, and Dr Wadolowski. The National Drug and Alcohol Research Centre at the University of New South Wales Australia (Dr Wadolowski, Dr Hutchinson, Asst Prof Bruno, Ms Aiken, Asst Prof Slade, and Prof Mattick) is supported by funding from the Australian Government under a Substance Misuse Prevention and Service Improvements grant. REFERENCES 1. Ellickson PL, Tucker JS, Klein DJ. sipping and drinking distinct? Alcohol through adolescence. J. Adolesc. Ten-year prospective study of Clin Exp Res. 2015;39(9):1805–1813 Health. 2013;53(4):453–459 public health problems associated 7. Donovan JE. The burden of alcohol use: 13. Ward BM, Snow PC. Factors affecting with early drinking. Pediatrics. focus on children and preadolescents. parental supply of alcohol to underage 2003;111(5):949–955. Alcohol Res. 2013;35(2):186–192 adolescents. Drug Alcohol Rev. 2. Hingson RW, Zha W. Age of drinking 2011;30(4):338–343 onset, alcohol use disorders, 8. Donovan JE, Molina BSG. Children’s frequent heavy drinking, and introduction to alcohol use: sips 14. Jackson KM, Barnett NP, Colby SM, unintentionally injuring oneself and and tastes. Alcohol Clin Exp Res. Rogers ML. The prospective association others after drinking. Pediatrics. 2008;32(1):108–119 between sipping alcohol by the sixth 2009;123(6):1477–1484 grade and later substance use. J Stud 9. Jackson C, Ennett ST, Dickinson DM, Alcohol Drugs. 2015;76(2):212–221 3. Gore FM, Bloem PJN, Patton GC, et al. Bowling JM. Letting children sip: Global burden of disease in young people understanding why parents allow 15. Aiken A, Wadolowski M, Bruno R, et al. aged 10-24 years: a systematic analysis. alcohol use by elementary school-aged Cohort profile: The Australian parental Lancet. 2011;377(9783):2093–2102 children. Arch Pediatr Adolesc Med. supply of alcohol longitudinal study 2012;166(11):1053–1057 (APSALS) [published online ahead of 4. Patton GC, Coffey C, Cappa C, et al. print May 6, 2015. Int J Epidemiol. Health of the world’s adolescents: 10. Kypri K, Dean JI, Stojanovski E. a synthesis of internationally Parent attitudes on the supply of 16. Donovan JE, Molina BSG. Childhood risk comparable data. Lancet. alcohol to minors. Drug Alcohol Rev. factors for early-onset drinking. J Stud 2012;379(9826):1665–1675 2007;26(1):41–47 Alcohol Drugs. 2011;72(5):741–751 5. Wadolowski M, Bruno R, Aiken A, 11. Jackson C, Ennett S, Dickinson 17. Henderson H, Nass L, Payne C, Phelps et al. Sipping, drinking, and early D, Bowling JM. Attributes that A, Ryley A. Smoking, drinking and drug adolescent alcohol consumption: a differentiate children who sip alcohol use among young people in England in cautionary note. Alcohol Clin Exp Res. from abstinent peers. J. Youth Adolesc. 2012. London: NHS Information Centre 2015;39(2):350–354 2013;42(11):1687–1695 for Health & Social Care; 2013 6. Wadolowski M, Hutchinson D, Bruno R, 12. Donovan JE, Molina BSG. Types of 18. White V, Bariola E. Australian et al. Early adolescent alcohol use: Are alcohol use experience from childhood secondary school students’ use Downloaded from www.aappublications.org/news by guest on February 9, 2021 PEDIATRICS Volume 137, number 3, March 2016 7
of tobacco, alcohol, and over-the- 27. Joreskog K, Sorbom D. LISREL 8: an effective brief screening test counter and illicit substances in Structural equation modeling with the for problem drinking. Ambulatory 2011. Melbourne, Victoria: Centre for SIMPLIS command language. Chicago, Care Quality Improvement Project Behavioural Research in Cancer, The IL: Scientific Software International Inc; (ACQUIP). Alcohol Use Disorders Cancer Council Victoria; 2012 1993 Identification Test. Arch Intern Med. 1998;158(16):1789–1795 19. Donovan JE. Really underage drinkers: 28. Australian Bureau of Statistics. the epidemiology of children’s alcohol Australian demographic statistics, 35. Komro KA, Maldonado-Molina MM, use in the United States. Prev Sci. June quarter 2012: Australian Tobler AL, Bonds JR, Muller KE. Effects 2007;8(3):192–205 demographic statistics tables. of home access and availability of Canberra, Australian Capital Territory: alcohol on young adolescents’ alcohol 20. Donovan JE, Molina BSG. Antecedent use. Addiction. 2007;102(10):1597–1608 predictors of children’s initiation of Australian Bureau of Statistics; 2012 sipping/tasting alcohol. Alcohol Clin 36. van der Vorst H, Engels RCME, Meeus 29. Australian Bureau of Statistics. Family Exp Res. 2014;38(9):2488–2495 W, Deković M, Van Leeuwe J. The characteristics, Australia, 2009-10: role of alcohol-specific socialization 21. Jones SC, Magee C, Andrews K. ‘I Households, families and persons, in adolescents’ drinking behaviour. think other parents might. …’: Using selected characteristics by state. Addiction. 2005;100(10):1464–1476 a projective technique to explore Canberra, Australian Capital Territory: parental supply of alcohol. Drug Australian Bureau of Statistics; 2011 37. Ary DV, Duncan TE, Duncan SC, Hops Alcohol Rev. 2015;34(5):531–539 H. Adolescent problem behavior: the 30. Pink B. Information paper: An influence of parents and peers. Behav 22. Jackson KM, Colby SM, Barnett NP, introduction to Socio-Economic Indexes Res Ther. 1999;37(3):217–230 Abar CC. Prevalence and correlates of for Areas (SEIFA) 2006. Canberra, Australian Capital Territory: Australian 38. Small SA, Kerns D. Unwanted sexual sipping alcohol in a prospective middle Bureau of Statistics, Commonwealth of activity among peers during early school sample. Psychol Addict Behav. Australia; 2008 and middle adolescence: Incidence 2015;29(3):766–778 and risk factors. J Marriage Fam. 23. Kaynak Ö, Winters KC, Cacciola 31. Australian Bureau of Statistics. Socio- 1993;55(4):941–952 J, Kirby KC, Arria AM. Providing economic Indexes for Areas (SEIFA), 39. Stice E, Barrera M Jr, Chassin L. alcohol for underage youth: what Data cube, 2006. Canberra, Australian Prospective differential prediction of messages should we be sending Capital Territory: Australian Bureau of adolescent alcohol use and problem parents? J Stud Alcohol Drugs. Statistics; 2008 use: examining the mechanisms 2014;75(4):590–605 of effect. J Abnorm Psychol. 32. White V, Smith G. Australian secondary 24. Donovan JE. Adolescent alcohol school students’ use of tobacco, 1998;107(4):616–628 initiation: a review of psychosocial alcohol, and over-the-counter and 40. Johnston LD, Bachman JG, O’Malley PM. risk factors. J Adolesc Health. illicit substances in 2008. Melbourne, Monitoring the Future: Questionnaire 2004;35(6):529.e7–529.e18 Victoria: Centre for Behavioural responses from the nation’s high Research in Cancer, The Cancer school seniors, 2011. Ann Arbor, 25. Windle M, Spear LP, Fuligni AJ, et Council Victoria; 2009 MI: Institute for Social Research, al Transitions into underage and problem drinking: Developmental 33. Australian Institute of Health & University of Michigan; 2013 processes and mechanisms Welfare. 2010 National Drug Strategy 41. Achenbac-h TM. Manual for the between 10 and 15 years of age. Household Survey report. Canberra, youth self-report and 1991 profile. Pediatrics. 2008;121(suppl 4): A: Australian Institute of Health & Burlington, VT: University of Vermont; S273–S289 Welfare; 2011 1991 26. LISREL 8.8 for Windows [computer 34. Bush K, Kivlahan DR, McDonell MB, 42. Stata/SE 11.2 for Windows [computer program]. Skokie, IL: Scientific Fihn SD, Bradley KA. The AUDIT alcohol program]. College Station, TX: Software; 2006 consumption questions (AUDIT-C): StataCorp LP; 2012 Downloaded from www.aappublications.org/news by guest on February 9, 2021 8 WADOLOWSKI et al
Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors Monika Wadolowski, Delyse Hutchinson, Raimondo Bruno, Alexandra Aiken, Jackob M. Najman, Kypros Kypri, Tim Slade, Nyanda McBride and Richard P. Mattick Pediatrics 2016;137; DOI: 10.1542/peds.2015-2611 originally published online February 26, 2016; Updated Information & including high resolution figures, can be found at: Services http://pediatrics.aappublications.org/content/137/3/e20152611 References This article cites 29 articles, 3 of which you can access for free at: http://pediatrics.aappublications.org/content/137/3/e20152611#BIBL Subspecialty Collections This article, along with others on similar topics, appears in the following collection(s): Adolescent Health/Medicine http://www.aappublications.org/cgi/collection/adolescent_health:med icine_sub Substance Use http://www.aappublications.org/cgi/collection/substance_abuse_sub Permissions & Licensing Information about reproducing this article in parts (figures, tables) or in its entirety can be found online at: http://www.aappublications.org/site/misc/Permissions.xhtml Reprints Information about ordering reprints can be found online: http://www.aappublications.org/site/misc/reprints.xhtml Downloaded from www.aappublications.org/news by guest on February 9, 2021
Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors Monika Wadolowski, Delyse Hutchinson, Raimondo Bruno, Alexandra Aiken, Jackob M. Najman, Kypros Kypri, Tim Slade, Nyanda McBride and Richard P. Mattick Pediatrics 2016;137; DOI: 10.1542/peds.2015-2611 originally published online February 26, 2016; The online version of this article, along with updated information and services, is located on the World Wide Web at: http://pediatrics.aappublications.org/content/137/3/e20152611 Pediatrics is the official journal of the American Academy of Pediatrics. A monthly publication, it has been published continuously since 1948. Pediatrics is owned, published, and trademarked by the American Academy of Pediatrics, 345 Park Avenue, Itasca, Illinois, 60143. Copyright © 2016 by the American Academy of Pediatrics. All rights reserved. Print ISSN: 1073-0397. Downloaded from www.aappublications.org/news by guest on February 9, 2021
You can also read