Skip to main content

Advertising Disclaimer »

Main menu

  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers
  • Other Publications
    • American Academy of Pediatrics

User menu

  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
American Academy of Pediatrics

AAP Gateway

Advanced Search

AAP Logo

  • Log in
  • Log out
  • My Cart
  • Journals
    • Pediatrics
    • Hospital Pediatrics
    • Pediatrics in Review
    • NeoReviews
    • AAP Grand Rounds
    • AAP News
  • Authors/Reviewers
    • Submit Manuscript
    • Author Guidelines
    • Reviewer Guidelines
    • Open Access
    • Editorial Policies
  • Content
    • Current Issue
    • Online First
    • Archive
    • Blogs
    • Topic/Program Collections
    • AAP Meeting Abstracts
  • Pediatric Collections
    • COVID-19
    • Racism and Its Effects on Pediatric Health
    • More Collections...
  • AAP Policy
  • Supplements
  • Multimedia
    • Video Abstracts
    • Pediatrics On Call Podcast
  • Subscribe
  • Alerts
  • Careers

Discover Pediatric Collections on COVID-19 and Racism and Its Effects on Pediatric Health

American Academy of Pediatrics
Article

Adverse Childhood Experiences Predict Earlier Age of Drinking Onset: Results From a Representative US Sample of Current or Former Drinkers

Emily F. Rothman, Erika M. Edwards, Timothy Heeren and Ralph W. Hingson
Pediatrics August 2008, 122 (2) e298-e304; DOI: https://doi.org/10.1542/peds.2007-3412
Emily F. Rothman
Departments of aSocial and Behavioral Sciences
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erika M. Edwards
bEpidemiology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy Heeren
cBiostatistics, Boston University School of Public Health, Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ralph W. Hingson
dNational Institute on Alcohol Abuse and Alcoholism, Division of Epidemiology and Prevention Research, Bethesda, MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Comments
Loading
Download PDF

Abstract

OBJECTIVE. Our goal was to determine whether adverse childhood experiences predicted the age at which drinking was initiated and drinking motives in a representative sample of current or former drinkers in the United States.

METHODS. In 2006, a probability sample of 3592 US current or former drinkers aged 18 to 39 were surveyed. Multinomial logistic regression examined whether each of 10 adverse childhood experiences was associated with earlier ages of drinking onset, controlling for demographics, parental alcohol use, parental attitudes toward drinking, and peers' drinking in adolescence. We also examined whether there was a graded relationship between the number of adverse childhood experiences and age of drinking onset and whether adverse childhood experiences were related to self-reported motives for drinking during the first year that respondents drank.

RESULTS. Sixty-six percent of respondents reported ≥1 adverse childhood experiences, and 19% reported experiencing ≥4. The most commonly reported adverse childhood experiences were parental separation/divorce (41.3%), living with a household member who was a problem drinker (28.7%), mental illness of a household member (24.8%), and sexual abuse (19.1%). Of the 10 specific adverse childhood experiences assessed, 5 were significantly associated with initiating drinking at ≤14 years of age (compared with at ≥21 years of age) after adjustment for confounders, including physical abuse, sexual abuse, having a mentally ill household member, substance abuse in the home, and parental discord or divorce. Compared with those without adverse childhood experiences, respondents with adverse childhood experiences were substantially more likely to report that they drank to cope during the first year that they used alcohol.

CONCLUSIONS. Results suggest that children with particular adverse childhood experiences may initiate drinking earlier than their peers and that they may be more likely to drink to cope with problems (rather than for pleasure or to be social).

  • age of drinking onset
  • drinking initiation
  • adverse childhood experiences

By the eighth grade, >40% of US youth have used alcohol.1 Earlier age of drinking onset is associated with harmful drinking and alcohol dependence in later life,2–6 negative alcohol-related consequences,7–12 and later adolescent problem behaviors including poor academic performance and delinquency4; therefore, there have been several calls for initiatives to delay the age of drinking onset.13–16

It has also been argued that secondary prevention programs should include attention to adolescents' drinking motives.17 The motivational model of alcohol use proposes that whether individuals choose to drink is a function of genetics, personality characteristics, sociocultural and situational factors, expectancies about the effect of alcohol intake, and the desire to experience the effects of alcohol (ie, drinking motives).17,18 Among these, drinking motives have been found to be the most proximate in the alcohol-related decision-making of adolescents.17,19 Notably, certain drinking motives, such as drinking to reduce social anxiety and drinking to cope with problems, have been found to predict problem drinking.20,21

Given the recent calls to delay drinking initiation and address adolescents' drinking motives, it is important to develop a more complete understanding of the “root causes” of both. Although previous research has identified a number of factors that are suspected to influence the age of drinking onset,1–3,5,22–24 some of these factors are not modifiable (eg, gender, race, hereditary factors), and most have been correlated with drinking onset only in cross-sectional studies; therefore, research that identifies modifiable factors and provides evidence of a causal relationship is needed.

The Adverse Childhood Experiences Study, a retrospective cohort study of adult health maintenance organization members in California, identified a set of 10 childhood abuse and household dysfunction exposures that seem to be causally associated with many of the leading causes of morbidity and mortality in the United States.25 One previous analysis of these data found a graded relationship between the total number of adverse childhood experiences (ACEs) that individuals experienced and earlier ages of drinking initiation25; however, a limitation of the previous study is that the mean age was 55 and 57 years for male and female survey respondents, respectively, and it has been established that retrospective reporting of drinking initiation is prone to error as time since the event increases.26 In addition, the analysis did not control for family feelings about alcohol or peer drinking, which have been found to be predictors of the age of drinking onset and are potential confounders.27 A more recent study analyzed cross-sectional data from 3559 7th- through 12th-graders in a high-risk urban community and found that witnessing domestic violence and experiencing physical and/or sexual abuse before the age of 10 was associated with initiating alcohol use before 13 years of age.28

The first goal of this study was to investigate whether ACEs were associated with an earlier age of drinking onset, controlling for potential confounders, by using a sample that is representative of current or former drinkers in the United States. A second goal was to explore whether individuals who had ACEs and drank were more likely to drink to cope with problems or stress, rather than for social or pleasure enhancement reasons, during the first year that they drank.

METHODS

In 2006, we conducted a survey of current or former drinkers aged 18 to 39 (“the drinking-onset survey”). The research protocol was approved by the Boston Medical Center institutional review board. Our study comprised 2 sample groups. The first was a random sample of members of a prerecruited Internet panel, representative of the general population of the United States, which is maintained by the consumer information company Knowledge Networks. The second was a sample of individuals who refused to join or dropped out of the panel but were willing to participate in the drinking-onset survey. There was a 37% weighted response rate across the 2 samples combined.

To be eligible for the drinking-onset survey, panel members needed to have been recruited within the past 2 years, been between the ages of 18 and 39, and reported that they had consumed ≥12 drinks during the past year or in any previous 12-month period. To identify eligible participants for the drinking-onset study, Knowledge Networks sent a recruitment e-mail to 6200 panel members of the appropriate age. The 5505 (89%) who responded were screened for eligibility; 4012 (73% of responders) were eligible. Of these, 100% completed surveys; 603 were randomly selected for a substudy on survey modality effects (comparing telephone with online survey responses) and completed the survey via telephone, and the other 3409 completed the survey online. For this analysis, we restricted our sample only to individuals who completed the Internet survey (n = 3409).

In addition, the survey was administered by telephone to a random sample of individuals who had refused to join the Knowledge Networks panel or had dropped out of it (n = 612). Although the demographic profiles of the Internet panel and nonresponse samples differed somewhat, we found few differences on the alcohol use variables after controlling for age, gender, and race29; therefore, the nonresponse sample was included to improve generalizability.

Measures

Survey questions on alcohol consumption and age of drinking onset were based on questions from the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) instrument. Age of drinking onset was assessed through a single question: “About how old were you when you first started drinking, not counting small tastes or sips?” Responses were categorized as ≤14 years, 15 to 17 years, 18 to 20 years, or ≥21 to be consistent with the previous study that assessed ACEs and the initiation of alcohol use.25

Adverse Childhood Experiences included 4 categories of childhood abuse—emotional neglect (5 questions), physical neglect (6 questions), psychological abuse (2 questions), physical abuse (2 questions), and contact sexual abuse (4 questions)—and 5 categories of household dysfunction—exposure to substance abuse (2 questions), mental illness (2 questions), witnessing violence against a mother or stepmother (4 questions), criminal behavior (1 question) of a household member, and parental separation or divorce (1 question).30 Respondents who indicated that they had experienced any of the adverse exposures ≥1 time were classified as positive for that exposure. We also assigned a total ACEs score ranging from 0 to 10 to each participant by summing the total number of ACEs that each individual had experienced.

Four drinking motives were measured via the 20-item drinking motives revised questionnaire.31 Respondents were asked to think back to the first year when they began drinking and to indicate how often they drank for each reason. Sample reasons include “to forget your worries” and “because it gave you a pleasant feeling.” Each motive had 5 response options: “1, almost never or never;” “2, some of the time;” “3, half of the time;” “4, most of the time;” and “5, almost always or always.” Responses were summed, averaged, and grouped by subscale. Dummy variables were created to indicate whether respondents' motive subscale mean score was <4. Demographic and situational variables included gender, race, education, age at survey in years, family feelings about alcohol, and number of friends who drank occasionally during the first year of high school.

Statistical Analyses

All analyses were conducted using SUDAAN, which is a software program designed to account for complex survey sampling and designs. We used multinomial logistic regression models to calculate the crude odds ratios (ORs) of the covariates listed with each of the 10 categories of ACEs and age of drinking onset, using a forward model-building strategy based on a 10% change in the estimate of effect for the main exposure.32 When adding a covariate to the model changed the estimate of effect by >10%, we considered it to be a confounder. We used logistic regression models to calculate ORs and 95% confidence intervals (CIs) for the association between each of the 10 categories of ACEs and age of drinking onset adjusted for age, gender, race, educational attainment, family feelings about alcohol, and the number of the respondents' friends who drank during the first year of high school. In these analyses, we compared the odds for initiating drinking within a particular age range (≤14 years, 15–17 years, or 18–20 years) with initiating drinking at age ≥21 years. Finally, we assessed respondents' drinking motives by calculating the prevalence and adjusted odds for the relationship between each of the 10 categories of ACEs and each of the 4 motives. In this final analysis, we adjusted for age, gender, race, educational attainment, family feelings about alcohol, and the number of respondents' friends who drank during the first year of high school.

RESULTS

Characteristics of the Study Population

Respondents who were missing data on age of drinking onset (n = 24) or on at least 1 of the ACEs were excluded (n = 411), yielding a final sample of 3592 individuals. The mean age of respondents was 31.0 years (SD 5.9) among men and 30.1 years (SD 5.9) among women. Approximately 10.5% of respondents initiated drinking before age 15, 34.3% initiated drinking between 15 and 17 years of age, 32.4% initiated drinking between 18 and 20 years of age, and 22.8% initiated drinking at age ≥21 years (Table 1).

View this table:
  • View inline
  • View popup
TABLE 1

Distribution of Sample Characteristics

Prevalence of ACEs and Association Between ACEs and Age at Initiation of Alcohol Use

ACEs were prevalent among this sample; 66% of respondents reported ≥1 ACE, and 19% reported ≥4. The most commonly reported ACEs were parental separation or divorce (41.3%), living with a household member who was a problem drinker or illicit substance user (28.7%), and mental illness of a household member (24.8%).

Of the 10 specific ACEs assessed, 5 were associated with initiating drinking before age 15 (as compared with at ≥21 years) adjusting for age, gender, race, educational attainment, family feelings about alcohol, and number of friends who drank during the first year of high school (Table 2). These 5 ACEs included physical abuse (adjusted OR [aOR]: 2.0 [95% CI: 1.2–3.2]), sexual abuse (aOR: 3.2 [95% CI: 2.1–4.9]), parental discord or divorce (aOR: 1.7 [95% CI: 1.2–2.5]), having a mentally ill household member (aOR: 2.0 [95% CI: 1.3–3.0]), and substance abuse in the home (aOR: 2.0 [95% CI: 1.4–3.1]). In addition, 2 ACEs were borderline associated with initiating drinking before age 15: emotional abuse (aOR: 1.6 [95% CI: 1.0–2.6]) and emotional neglect (aOR: 2.3 [95% CI: 1.0–5.4]). Sexual abuse (aOR: 1.7 [95% CI: 1.2–2.4]) and substance abuse in the home (aOR: 1.6 [95% CI: 1.2–2.2]) were also associated with initiating drinking at ages 15 to 17 years, whereas parental discord/divorce (aOR: 1.3 [95% CI: 1.0–1.8]) and having a mentally ill household member (aOR: 1.4 [95% CI: 1.0–1.8]) were borderline associated with initiating at ages 15 to 17 years.

View this table:
  • View inline
  • View popup
TABLE 2

Prevalence and aORs for the Relationship Between ACEs and the Age of Initiation of Alcohol Use (N = 3592)

We found that there was a graded relationship between ACEs and initiating drinking at the earliest, middle, and latest phases of adolescence (Table 2). We also found that the number of ACEs that an individual experienced predicted earlier age of drinking initiation (Table 3). Adjusting for potential confounders, those who experienced ≥4 ACEs had 3.6 (2.0–6.4) times the odds for initiating drinking at age ≤14 years instead of at the legal age and 1.8 (1.2–2.8) times the odds for initiating drinking at ages 15 to 17, compared with those who experienced no ACEs (Table 3). Experiencing 1 or 2 ACEs did not seem to affect the age of drinking initiation substantially, but experiencing ≥3 did; those who experienced 3 ACEs had 2.1 (1.0–4.2) times the odds for initiating drinking before age 15 instead of at age 21.

View this table:
  • View inline
  • View popup
TABLE 3

Prevalence (%) and aORs for the Relationship Between Total Number of ACEs (Score) and Age at Initiation of Alcohol Use

The majority of people in the sample reported that during the first year that they drank alcohol, they drank to be social (32.1%) or for pleasure enhancement (24.7%). Relatively few (5.2%) reported that they drank to cope with problems or stress or to conform (4.4%). In contrast, respondents who reported that they had ACEs were substantially more likely to report that they drank to cope. For example, those who reported experiencing emotional abuse had a 2.4-fold (1.4–3.9) increased odds of drinking to cope as compared with their counterparts who had not (Table 4). Similarly, those who were physically neglected as children had a 3.1-fold (1.7–5.7) increased odds and those who were physically abused had a 2.8-fold (1.5–4.9) increased odds for drinking to cope (Table 4).

View this table:
  • View inline
  • View popup
TABLE 4

Prevalence (%) and aORs for the Relationship Between ACEs and Self-Reported Drinking Motives During the First Year When the Participant Began Drinkinga,b

DISCUSSION

Using retrospective data from a nationally representative sample of adults who were former or current drinkers, this article describes the association between 10 ACEs and the age of drinking initiation. Strengths of this study are the national probability sample, which improves the generalizability of results; the relative youth of our sample; and ability to control for potential confounders that were not included in other studies. We found a positive association between 5 ACEs and initiation of drinking before age 15. Consistent with a previous study,25 we found a graded relationship between the number of ACEs experienced and the age at drinking onset. We also found that individuals who had experienced ACEs were more likely to report that they drank “to cope” rather than for social or pleasure enhancement reasons during their first year of drinking.

How might ACEs lead to earlier drinking onset? As Dube et al25 proposed, children's neurodevelopment may be affected by exposure to the various forms of trauma; stress increases cortisol and norepinephrine levels, which may impede children's ability to regulate behavior, which in turn may lead to the use of alcohol and/or drugs for coping reasons. Our finding that ACEs are associated with an increased likelihood that individuals drank to cope with problems or stress during their first year of drinking provides support for this theory.

We also propose an additional or alternative explanation for the observed relationship between ACEs and early drinking onset. Home environments where ACEs occur may also be more often characterized by low parental involvement, including less limit-setting and less presence at home. Because children from homes with low parental involvement have increased access to alcohol and increased opportunity (ie, unmonitored time) in which to drink, the observed relationship between ACEs and early drinking onset may also be related to opportunity, not only to the effect of trauma.33,34 This is an important possibility, because it means that parents and clinicians should not assume that simple exposure to ≥1 ACE elevates a child's risk for early-onset drinking and its sequelae. Rather, even in cases in which children have ≥1 ACE, it may be that engaged parenting is sufficient to offset any elevated risk.

Our findings indicate that children with particular ACEs may drink for different reasons than children without these experiences during the first year that they consume alcohol. The difference in initial and perhaps ongoing drinking motives for ACE-exposed and -unexposed children may contribute to the relationship between ACEs and future risky drinking and alcohol dependence.25,35 Different prevention strategies may be needed for children with ACEs than those without; these children may not be discouraged by efforts that seek to reduce social drinking or “partying” and may instead require specifically tailored prevention messages about healthier ways of coping with problems, stress, and fitting in.

Several limitations must be acknowledged. First, the survey response rate (37%) was low; however, as has been argued elsewhere, low participation does not necessarily indicate that a high level of response bias is present; rather, it suggests that response bias may be a concern.36 To investigate the representativeness of the present sample, we compared respondents with those of the 2001–2002 NESARC, which had an 81% response rate.29 The comparison found that our respondents were similar to the national population of 18- to 39-year-old ever-drinkers on gender, education, and race/ethnicity and that estimates of the associations between alcohol dependence and age of drinking onset, risky drinking, and family history of alcohol problems did not differ significantly between our sample and the NESARC sample.29

Second, it is possible that respondents who experienced ACEs were more likely than other respondents to report an earlier age of first drink as a result of recall bias. This possibility notwithstanding, one advantage of this study is that the mean average age of respondents was 25 years younger than those in the original ACEs study. Available evidence suggests that the older that people become, the more likely they are to report important events as occurring more recently37,38; therefore, using a younger sample likely reduced the threat of retrospective recall inaccuracies.

Third, the original set of ACE questions solicit information about events that occurred in the respondents' first 18 years of life. We modified the ACE questions such that they referred to either the first 15 or 16 years of life, which should have resulted in lower estimates of ACEs but did not. A likely reason for this is the younger age of our sample, which reduced underreporting of ACEs, which in turn offset the narrower time frame of our ACE questions.

Fourth, the temporal order of ACEs and drinking onset could not be established for all respondents. ACEs included any events that occurred up to either 15 or 16 years of age, depending on the ACE category. There could be individuals who initiated drinking at age 14 and subsequently experienced an ACE at age 15. Because of this possibility, causality cannot be inferred from our results.

Finally, our analysis includes multiple comparisons, which increase the potential for false-positive results. This is a complex and controversial issue, and we did not attempt to make a formal correction; however, this was a descriptive study, and we present both positive and negative results so that readers can use their own judgment. Furthermore, a consistent pattern was observed in terms of the associations between ACEs and the age of drinking initiation, which suggests that our positive results did not occur by chance.

CONCLUSIONS

Results of this study are consistent with a causal relationship between ACEs and early drinking initiation. In addition, they suggest that individuals who experience particular ACEs may be motivated to drink for different reasons than individuals without these specific experiences, which may lead to a different pattern of alcohol consumption across their life span, including earlier drinking initiation, increased risk for risky drinking in adolescence, and alcohol dependence in adulthood.

Acknowledgments

This study was supported by National Institute on Alcohol Abuse and Alcoholism grant NIAAA P60AA013759.

Footnotes

    • Accepted April 8, 2008.
  • Address correspondence to Emily F. Rothman, ScD, Boston University School of Public Health, Department of Social and Behavioral Sciences, 715 Albany St, Crosstown Center, Floor 3, Boston, MA 02118. E-mail: erothman{at}bu.edu
  • The authors have indicated they have no financial relationships relevant to this article to disclose.

  • The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Alcohol Abuse and Alcoholism or the National Institutes of Health.

    All authors were affiliated with the Youth Alcohol Prevention Center, Boston University School of Public Health, when this manuscript was originally submitted. Dr Hingson is no longer affiliated with the Boston University School of Public Health.

  • What's Known on This Subject

    The results of two prior studies suggest that adverse childhood experiences are related to drinking onset, but were subject to several limitations.

    What This Study Adds

    To our knowledge, this study is the first to find that particular ACEs predict drinking initiation and drinking to cope with problems by using a national probability sample of current or former drinkers.

ACE—adverse childhood experience, NESARC—National Epidemiologic Survey on Alcohol and Related Conditions, CI—confidence interval, OR—odds ratio, aOR—adjusted odds ratio

REFERENCES

  1. ↵
    Faden VB. Trends in initiation of alcohol use in the United States 1975 to 2003. Alcohol Clin Exp Res. 2006;30 (6):1011– 1022
    OpenUrlCrossRefPubMed
  2. ↵
    Dooley D, Prause J. Predictors of early alcohol drinking onset. J Child Adolesc Subst Abuse. 2006;16 (2):1– 29
    OpenUrlCrossRef
  3. ↵
    Dougherty DM, Mathias CW, Tester ML, Marsh DM. Age at first drink relates to behavioral measures of impulsivity: the immediate and delayed memory tasks. Alcohol Clin Exp Res. 2004;28 (3):408– 414
    OpenUrlCrossRefPubMed
  4. ↵
    Ellickson PL, Tucker JS, Klein DJ. Ten-year prospective study of public health problems associated with early drinking. Pediatrics. 2003;111 (5 pt 1):949– 955
    OpenUrlAbstract/FREE Full Text
  5. ↵
    Margulies R, Kessler R, Kandel D. A longitudinal study of onset of drinking among high school students. J Stud Alcohol. 1977;38 (5):897– 912
    OpenUrlPubMed
  6. ↵
    Prescott CA, Kendler KS. Age at first drink and risk for alcoholism: a noncausal association. Alcohol Clin Exp Res. 1999;23 (1):101– 107
    OpenUrlCrossRefPubMed
  7. ↵
    Hingson R, Heeren T, Levenson S, Jamanka A, Voas R. Age of drinking onset, driving after drinking, and involvement in alcohol related motor-vehicle crashes. Accid Anal Prev. 2002;34 (1):85– 92
    OpenUrlCrossRefPubMed
  8. Hingson R, Heeren T, Winter MR, Wechsler H. Early age of first drunkenness as a factor in college students' unplanned and unprotected sex attributable to drinking. Pediatrics. 2003;111 (1):34– 41
    OpenUrlAbstract/FREE Full Text
  9. Hingson R, Heeren T, Zakocs R. Age of drinking onset and involvement in physical fights after drinking. Pediatrics. 2001;108 (4):872– 877
    OpenUrlAbstract/FREE Full Text
  10. Hingson R, Heeren T, Zakocs R, Winter M, Wechsler H. Age of first intoxication, heavy drinking, driving after drinking and risk of unintentional injury among US college students. J Stud Alcohol. 2003;64 (1):23– 31
    OpenUrlPubMed
  11. Hingson RW, Heeren T, Jamanka A, Howland J. Age of drinking onset and unintentional injury involvement after drinking. JAMA. 2000;284 (12):1527– 1533
    OpenUrlCrossRefPubMed
  12. ↵
    Swahn MH, Bossarte RM, Sullivent EE. Age of alcohol use initiation, suicidal behavior, and peer and dating violence victimization and perpetration among high-risk, seventh-grade adolescents. Pediatrics. 2008;121 (2):297– 305
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Elder RW, Shults RA, Swahn MH, Strife BJ, Ryan GW. Alcohol-related emergency department visits among people ages 13 to 25 years. J Stud Alcohol. 2004;65 (3):297– 300
    OpenUrlPubMed
  14. DeWit DJ, Adlaf EM, Offord DR, Ogborne AC. Age at first alcohol use: a risk factor for the development of alcohol disorders. Am J Psychiatry. 2000;157 (5):745– 750
    OpenUrlCrossRefPubMed
  15. US Department of Health and Human Services. The Surgeon General's Call to Action to Prevent and Reduce Underage Drinking. Washington, DC: US Department of Health and Human Services, Office of the Surgeon General; 2007
  16. ↵
    Hingson RW, Heeren T, Winter MR. Age of first onset of alcohol dependence and subsequent episodes and severity of dependence. Alcohol Clin Exp Res. 2006;30 (6):166A– 166A
    OpenUrl
  17. ↵
    Kuntsche E, Knibbe R, Engels R, Gmel G. Drinking motives as mediators of the link between alcohol expectancies and alcohol use among adolescents. J Stud Alcohol Drugs. 2007;68 (1):76– 85
    OpenUrlPubMed
  18. ↵
    Cooper ML, Frone MR, Russell M, Mudar P. Drinking to regulate positive and negative emotions-a motivational model of alcohol-use. J Pers Soc Psychol. 1995;69 (5):990– 1005
    OpenUrlCrossRefPubMed
  19. ↵
    Kuntsche E, Knibbe R, Gmel G, Engels R. “I drink spirits to get drunk and block out my problems”: beverage preference, drinking motives and alcohol use in adolescence. Alcohol Alcohol. 2006;41 (5):566– 573
    OpenUrlAbstract/FREE Full Text
  20. ↵
    Prescott CA, Cross RJ, Kuhn JW, Horn JL, Kendler KS. Is risk for alcoholism mediated by individual differences in drinking motivations? Alcohol Clin Exp Res. 2004;28 (1):29– 39
    OpenUrlPubMed
  21. ↵
    Grant VV, Stewart SH, O'Connor RM, Blackwell E, Conrod PJ. Psychometric evaluation of the five-factor Modified Drinking Motives Questionnaire-Revised in undergraduates. Addict Behav. 2007;32 (11):2611– 2632
    OpenUrlCrossRefPubMed
  22. ↵
    Wu P, Bird HR, Liu XH, et al. Childhood depressive symptoms and early onset of alcohol use. Pediatrics. 2006;118 (5):1907– 1915
    OpenUrlAbstract/FREE Full Text
  23. Hellandsjø Bu ET, Watten RG, Foxcroft DR, Ingebrigtsen JE, Relling G. Teenage alcohol and intoxication debut: the impact of family socialization factors, living area and participation in organized sports. Alcohol Alcohol. 2002;37 (1):74– 80
    OpenUrlAbstract/FREE Full Text
  24. ↵
    Sargent JD, Wills TA, Stoolmiller M, Gibson J, Gibbons FX. Alcohol use in motion pictures and its relation with early-onset teen drinking. J Stud Alcohol. 2006;67 (1):54– 65
    OpenUrlPubMed
  25. ↵
    Dube S, Miller J, Brown D, et al. Adverse childhood experiences and the association with ever using alcohol and initiating alcohol use during adolescence. J Adolesc Health. 2006;38 (4):444.e1– 444.e10
    OpenUrlCrossRefPubMed
  26. ↵
    Parra G, O'Neill S, Sher K. Reliability of self-reported age of substance abuse involvement onset. Psychol Addict Behav. 2003;17 (3):211– 218
    OpenUrlCrossRefPubMed
  27. ↵
    Donovan J. Adolescent alcohol initiation: a review of psychosocial risk factors. J Adolesc Health. 2004;35 (6):529.e7– 529.e18
    OpenUrlPubMed
  28. ↵
    Hamburger ME, Leeb RI, Swahn MH. Childhood maltreatment and early alcohol use among high-risk adolescents. J Stud Alcohol Drugs. 2008;69 (2):291– 295
    OpenUrlPubMed
  29. ↵
    Heeren T, Edwards E, Dennis J, et al. A comparison of results from an alcohol survey of a prerecruited Internet panel and the National Epidemiologic Survey on Alcohol and Related Conditions. Alcohol Clin Exp Res. 2008;32 (2):222– 229
    OpenUrlCrossRefPubMed
  30. ↵
    Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) study. Am J Prev Med. 1998;14 (4):245– 258
    OpenUrlCrossRefPubMed
  31. ↵
    Cooper ML. Motivations for alcohol use among adolescents: development and validation of a four-factor model. Psychol Assess. 1994;6 (2):117– 128
    OpenUrlCrossRef
  32. ↵
    Greenland S. Introduction to regression modeling. In: Rothman K, Greenland S, eds. Modern Epidemiology. 2nd ed. Philadelphia, PA: Lippincott-Raven; 1998:401– 434
  33. ↵
    Kim HK, Viner-Brown SI, Garcia J. Children's mental health and family functioning in Rhode Island. Pediatrics. 2007;119 (suppl 1):S22– S28
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Serovich JM, Price SJ, Chapman SF, Wright DW. Attachment between former spouses: impact on co-parental communication and parental involvement. J Divorce Remarriage. 1992;17 (3–4):109– 119
    OpenUrlCrossRef
  35. ↵
    Young SY, Hansen CJ, Gibson RL, Ryan MA. Risky alcohol use, age at onset of drinking, and adverse childhood experiences in young men entering the US marine corps. Arch Pediatr Adolesc Med. 2006;160 (12):1207– 1214
    OpenUrlCrossRefPubMed
  36. ↵
    Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17 (9):643– 653
    OpenUrlCrossRefPubMed
  37. ↵
    Dobson A, Smith N, Pachana N. Some problems with life event lists and health outcomes. Int J Behav Med. 2005;12 (3):199– 205
    OpenUrlCrossRefPubMed
  38. ↵
    Crawley SE, Pring L. When did Mrs. Thatcher resign? The effects of ageing on the dating of public events. Memory. 2000;8 (2):113– 123
    OpenUrlPubMed
  • Copyright © 2008 by the American Academy of Pediatrics
PreviousNext
Back to top

Advertising Disclaimer »

In this issue

Pediatrics
Vol. 122, Issue 2
August 2008
  • Table of Contents
  • Index by author
View this article with LENS
PreviousNext
Email Article

Thank you for your interest in spreading the word on American Academy of Pediatrics.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Adverse Childhood Experiences Predict Earlier Age of Drinking Onset: Results From a Representative US Sample of Current or Former Drinkers
(Your Name) has sent you a message from American Academy of Pediatrics
(Your Name) thought you would like to see the American Academy of Pediatrics web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Request Permissions
Article Alerts
Log in
You will be redirected to aap.org to login or to create your account.
Or Sign In to Email Alerts with your Email Address
Citation Tools
Adverse Childhood Experiences Predict Earlier Age of Drinking Onset: Results From a Representative US Sample of Current or Former Drinkers
Emily F. Rothman, Erika M. Edwards, Timothy Heeren, Ralph W. Hingson
Pediatrics Aug 2008, 122 (2) e298-e304; DOI: 10.1542/peds.2007-3412

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Adverse Childhood Experiences Predict Earlier Age of Drinking Onset: Results From a Representative US Sample of Current or Former Drinkers
Emily F. Rothman, Erika M. Edwards, Timothy Heeren, Ralph W. Hingson
Pediatrics Aug 2008, 122 (2) e298-e304; DOI: 10.1542/peds.2007-3412
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Print
Download PDF
Insight Alerts
  • Table of Contents

Jump to section

  • Article
    • Abstract
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • Comments

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Does adult alcohol consumption combine with adverse childhood experiences to increase involvement in violence in men and women? A cross-sectional study in England and Wales
  • Leveraging the biology of adversity to address the roots of disparities in health and development
  • The Lifelong Effects of Early Childhood Adversity and Toxic Stress
  • Family-related adverse childhood experiences as risk factors for psychiatric disorders in Nigeria
  • Google Scholar

More in this TOC Section

  • Severe Acute Neurologic Involvement in Children With Hemolytic-Uremic Syndrome
  • Hospitals’ Diversity of Diagnosis Groups and Associated Costs of Care
  • A Prevention Program for Insomnia in At-risk Adolescents: A Randomized Controlled Study
Show more Articles

Similar Articles

Subjects

  • Administration/Practice Management
    • Practice-Based Learning & Development
    • Administration/Practice Management

Keywords

  • age of drinking onset
  • drinking initiation
  • adverse childhood experiences
  • ACE—adverse childhood experience
  • NESARC—National Epidemiologic Survey on Alcohol and Related Conditions
  • CI—confidence interval
  • OR—odds ratio
  • aOR—adjusted odds ratio
  • Journal Info
  • Editorial Board
  • Editorial Policies
  • Overview
  • Licensing Information
  • Authors/Reviewers
  • Author Guidelines
  • Submit My Manuscript
  • Open Access
  • Reviewer Guidelines
  • Librarians
  • Institutional Subscriptions
  • Usage Stats
  • Support
  • Contact Us
  • Subscribe
  • Resources
  • Media Kit
  • About
  • International Access
  • Terms of Use
  • Privacy Statement
  • FAQ
  • AAP.org
  • shopAAP
  • Follow American Academy of Pediatrics on Instagram
  • Visit American Academy of Pediatrics on Facebook
  • Follow American Academy of Pediatrics on Twitter
  • Follow American Academy of Pediatrics on Youtube
  • RSS
American Academy of Pediatrics

© 2021 American Academy of Pediatrics