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Article

Impact of the Number of Parents With Alcohol Use Disorder on Alcohol Use Disorder in Offspring: A Population-Based Study

Gihyun Yoon, MD; Joseph Westermeyer, MD, MPH, PhD; Michael A. Kuskowski, PhD; and Laura Nesheim, BA

Published: August 15, 2013

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Objective: Although parental alcohol use disorder (AUD) increases risk for alcohol problems in offspring, no studies have evaluated the odds of AUD in offspring based on the number of biological parents with AUD (0, 1, or 2) in a population-based national sample. The purpose of this study was to investigate the relationship between the number of AUD parents and prevalence of AUD in offspring.

Method: This study utilized data from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions, which assessed AUD using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Version (main outcome variable). We analyzed the sample (n = 40,374) to investigate the effect of the number of AUD parents on lifetime AUD in offspring. In a subgroup analysis, gender differences were examined.

Results: 22% of adults in the United States had at least 1 biological parent with AUD. Compared with offspring of non-AUD parents, offspring of 1 AUD parent had a 2.5-fold increase (AOR = 2.51; 95% CI, 2.38-2.66) and offspring of 2 AUD parents had a 4.4-fold increase (AOR = 4.44; 95% CI, 3.93-5.02) in the odds of lifetime AUD. Each additional AUD parent increased the odds of AUD in offspring in an additive pattern. Female offspring were more vulnerable to the impact of parental AUD than male offspring (OR = 1.17 in offspring of 1 AUD parent; OR = 1.48 in offspring of 2 AUD parents).

Conclusions: Offspring of AUD parents had heightened odds of lifetime AUD, with an additive parental effect. Awareness of this risk can be useful for clinicians to educate individuals with AUD parents about prevention and intervention.

J Clin Psychiatry 2013;74(8):795-801

Submitted: January 2, 2013; accepted April 2, 2013 (doi:10.4088/JCP.13m08350).

Corresponding author: Gihyun Yoon, MD, Minneapolis VA Health Care System (116A), One Veterans Drive, Minneapolis, MN 55417 (yoonx033@umn.edu).

Alcohol use disorder (AUD) is a serious public health problem in the United States1 and worldwide.2 Previous studies have indicated that parental AUD increases risk for AUD in offspring.3-9 Both genetic10 and environmental11 risk factors are associated with higher odds of AUD in offspring. Twin studies have demonstrated that the heritability of alcohol dependence is 50%-60%.12-14

Patients and their family members often ask clinicians about the odds and probability of developing AUD when their father, mother, or both parents have alcohol problems. Studies on the number of AUD parents (0, 1, or 2)15-17 can help us further understand the relationship between parental and offspring AUD. This information would be valuable in providing preventive and clinical interventions. A recent Danish cohort study answered this question and reported that paternal AUD (odds ratio [OR] = 1.99; 95% CI, 1.54-2.68) and maternal AUD (OR = 1.96; 95% CI, 1.42-2.71) increased the odds of AUD in offspring.18 However, this study did not examine odds of AUD among offspring of 2 AUD parents. In a community study of adolescents and young adults in Munich, Germany,19 the odds of alcohol dependence were 2.14 times higher in offspring of 1 AUD parent (OR = 2.14; 95% CI, 1.46-3.14) and 2.75 times higher in offspring of 2 AUD parents (OR = 2.75; 95% CI, 1.42-5.31) compared to offspring of non-AUD parents. The difference was not significant between offspring of 1 AUD parent and those of 2 AUD parents on the 95% CI. This study, however, may not represent all population groups because many individuals develop alcohol dependence long after adolescence and young adulthood. In addition to these 2 important studies, clinical studies have shown that patients with 2 alcoholic parents manifested more alcohol-related symptoms and problems than patients with no alcoholic parents.20,21 However, clinical samples tend to represent patients with severe or treatment refractory AUD and therefore may not be generalizable to the population at large. Currently, no studies have examined the association between the number of AUD parents (0, 1, or 2) and odds of AUD in offspring in a population-based national sample.

The primary goal of this study was to investigate the relationship between the number of AUD parents and AUD in offspring in nationally representative data. Our hypothesis was that prevalence of AUD in offspring would be higher in offspring of 1 AUD parent and the highest in offspring of 2 AUD parents as compared to offspring of non-AUD parents. We also examined gender differences among offspring and their AUD parents in this association.

clinical points
  • Twenty-two percent of adults in the United States have at least 1 biological parent with alcohol use disorder (AUD).
  • The odds of lifetime AUD are 2.5 times higher in offspring of 1 AUD parent and 4.4 times higher in offspring of 2 AUD parents compared to offspring of non-AUD parents.
  • Although male offspring have higher prevalence rates of AUD than female offspring, female offspring are more vulnerable to the impact of parental AUD than male offspring.

METHOD

Study Sample

A survey sample consisted of participants in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC),22,23 which was designed, sponsored, and conducted by the National Institute on Alcohol Abuse and Alcoholism. The NESARC is a nationally representative household survey of the US civilian noninstitutionalized population. Nationwide face-to-face personal interviews were conducted with 43,093 participants aged ≥ 18 years by the US Census Bureau in 2001-2002. The overall response rate was 81%. The NESARC procedures were reviewed and approved by the US Census Bureau and the US Office of Management and Budget. All NESARC participants provided informed consent. The survey provides data on alcohol and drug use, psychiatric classification of substance use disorders and other psychiatric disorders, alcohol treatment utilization, sociodemographic information, and family history of AUD.

Of 43,093 individuals in the NESARC, 40,374 participants (93.7%) provided data on parental history of AUD for both parents. The current study was based on the subsample of these 40,374 participants. The mean (SD) age of the study sample (n = 40,374) was 46.4 (18.2) years (mode = 40). The majority of this study sample was female (57.0%), white (57.6%), and married/cohabiting (51.8%).

Data Assessment

Parental history of alcohol use disorder. Parental history of AUD was determined as “yes,” “no,” or “don’ t know” by face-to-face personal interviews with the following questions: “Has your blood or natural father been an alcoholic or problem drinker at any time in his life?” and “Has your blood or natural mother been an alcoholic or problem drinker at any time in her life?” For these questions, an alcoholic or problem drinker was defined and explained to participants by interviewers as follows: “By alcoholic or problem drinker, I mean a person who has physical or emotional problems because of drinking; problems with a spouse, family, or friends because of drinking; problems at work or school because of drinking; problems with the police because of drinking—like drunk driving; or a person who seems to spend a lot of time drinking or being hungover.” The reliability of AUDADIS parental history variables is good to excellent.24,25

Alcohol use disorder in offspring. To be classified with lifetime AUD, participants (ie, offspring) were required to have alcohol abuse, alcohol dependence, or both at any time during their lives. Diagnosis of alcohol abuse required at least 1 of the 4 abuse criteria. Diagnosis of alcohol dependence required at least 3 of the 7 dependence criteria in any 12-month period. Diagnoses of alcohol abuse and alcohol dependence were made with the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Version (AUDADIS-IV),26 which was developed based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV).27 The AUDADIS-IV has shown to be reliable and valid for the diagnosis of alcohol use disorder.24,25

Statistical Analysis

Three offspring groups were identified based on the number of biological parents with AUD: non-AUD parents, 1 AUD parent, and 2 AUD parents. The 3 groups were compared for sociodemographic characteristics using χ2 analysis for categorical variables. The prevalence rates of lifetime AUD in the 3 offspring groups were calculated using cross-tabulations.

We conducted logistic regression and tetrachoric correlations to evaluate the effect of the number of AUD parents on lifetime AUD in offspring (main outcome variable). First, unadjusted ORs and 95% CIs were calculated. Second, the 5 sociodemographic variables found to be statistically significant on the initial χ2 analyses (gender, age, race, education, and personal income) were entered into the logistic regression analysis to estimate adjusted odds ratios (AORs) and 95% CIs.

For subgroup analysis stratified by gender, we first split the sample by gender and repeated logistic regression to examine the effect of the number of AUD parents on offspring with lifetime AUD in the 3 offspring groups. Male and female offspring were compared with same gender offspring in the 3 groups. Second, without splitting the sample by gender, we calculated interaction effects between gender and number of AUD parents in logistic regression models to examine if the gender variable modified the effect of the number of AUD parents on AUD in offspring. Statistical analyses were performed with IBM SPSS Statistics, version 19 (IBM SPSS; Armonk, New York).

RESULTS

Sample Characteristics

Table 1 presents sociodemographic characteristics of 3 offspring groups based on the number of biological parents with AUD. Offspring of non-AUD parents (77.9%) comprised the largest group, followed by offspring of 1 AUD parent (18.9%) and offspring of 2 AUD parents (3.1%). When the 3 groups were compared, all sociodemographic variables (gender, age, race, education, and personal income) showed a significant difference except marital status. Offspring of 2 AUD parents were more likely than those of non-AUD parents to be associated with female gender, younger age, Native American, lower education, and lower personal income. Offspring of 2 AUD parents were less likely than those of non-AUD parents to be associated with Asian/Pacific Islander and Hispanic/Latino.

Table 1

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Lifetime Alcohol Use Disorder in Offspring

Table 2 summarizes prevalence, unadjusted ORs, AORs, and 95% CIs of AUD in the 3 offspring groups. Prevalence of lifetime AUD in offspring gradually increased from 23.1% in offspring of non-AUD parents to 40.4% in offspring of 1 AUD parent and 54.3% in offspring of 2 AUD parents. Compared to offspring of non-AUD parents, offspring of 1 AUD parent had 2.51-fold increased odds of lifetime AUD (AOR = 2.51). Offspring of 2 AUD parents had 4.44-fold increased odds of lifetime AUD (AOR = 4.44) compared with offspring of non-AUD parents. In addition, tetrachoric correlations showed a significant positive relationship between number of AUD parents and AUD in offspring of 1 AUD parent (r = 0.278, P < .001) and in offspring of 2 AUD parents (r = 0.368, P < .001).

Table 2

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Gender Differences

As shown in Table 3, the study data were stratified by gender. Compared to male offspring of non-AUD parents, male offspring of AUD-fathers-only had 2.37-fold increased odds of lifetime AUD (AOR = 2.37). The increased odds of AUD was similar to male offspring of AUD-mothers-only (AOR = 2.30). Male offspring of 2 AUD parents had 3.51-fold increased odds of lifetime AUD (AOR = 3.51) compared to male offspring of non-AUD parents.

Table 3

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Parental AUD increased the odds of offspring AUD even greater in female offspring. Female offspring of AUD fathers only (AOR = 2.57), female offspring of AUD mothers only (AOR = 3.30), and female offspring of 2 AUD parents (AOR = 5.26) had higher odds of lifetime AUD than female offspring of non-AUD parents. Compared to offspring of non-AUD parents in each gender, the odds of lifetime AUD were substantially higher in female offspring of 2 AUD parents (AOR = 5.26; 95% CI, 4.50-6.15) than in male offspring of 2 AUD parents (AOR = 3.51; 95% CI, 2.88-4.27). Table 4 describes the interaction effects between gender and number of AUD parents on AUD in offspring. The interaction was significant. Compared to offspring male gender, offspring female gender increased the odds of AUD in offspring of 1 AUD parent (OR = 1.17; 95% CI, 1.04-1.30) and in offspring of 2 AUD parents (OR = 1.48; 95% CI, 1.16-1.89).

Table 4

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DISCUSSION

This study is the first to use a population-based national sample to investigate the odds of AUD in offspring based on the number of AUD parents. The findings indicated that (1) 22% of adults in the United States had at least 1 biological parent with AUD, (2) the odds of lifetime AUD were 2.51 times higher in offspring of 1 AUD parent and 4.44 times higher in offspring of 2 AUD parents compared to offspring of non-AUD parents, (3) each additional AUD parent increased the odds of offspring AUD in an additive pattern, and (4) female offspring were more vulnerable to the impact of parental AUD than male offspring.

The finding that 22% of adults had AUD parents was similar to an earlier report estimating that 28.6% of children in the United States are exposed to AUD in their family.28 Potentially, our rate of 22% could have been higher if the NESARC had included individuals in institutional settings, such as hospitals and jails, where many adults with AUD may be found. Among participants with 1 AUD parent, the number of those with AUD fathers (n = 6,784) was 8 times higher than the number of those with AUD mothers (n = 855). This finding is consistent with the high prevalence of AUD among men as compared to women.29,30

The 3 offspring groups differed in sociodemographic characteristics. The overall age distribution suggests that survival past age 65 decreases progressively with more AUD parents. Native Americans were more negatively impacted by parental AUD, perhaps due to greater poverty among Native Americans.31 Conversely, Asians were less affected by parental AUD, perhaps due to genetic protection related to alcohol-metabolizing genes.32 Offspring with any AUD parent were less apt to complete college, and those in the highest income range ($60,000 and higher) had fewer AUD parents.

The main findings of the study were the increased odds of lifetime AUD among offspring of 1 AUD parent (AOR = 2.51; 95% CI, 2.38-2.66) and those of 2 AUD parents (AOR = 4.44; 95% CI, 3.93-5.02). Our findings were stronger than those in the Munich community study19 in which the odds of offspring alcohol dependence were increased in offspring with 1 AUD parent (OR = 2.14; 95% CI, 1.46-3.14) and those with 2 AUD parents (OR = 2.75; 95% CI, 1.42-5.31) in a threshold pattern. In the community study, the odds of offspring alcohol dependence did not differ statistically between 1 AUD parent and 2 AUD parents. One possible explanation could be younger age of the community study sample (aged 14-24 years) compared to our sample (mean age of 46.4 years), suggesting that young offspring of AUD parents may develop AUD later in their lives more often than other young offspring of non-AUD parents who do not carry a genetic risk of AUD. Two AUD parents increase offspring AUD because of higher genetic risk, environmental sequelae, and parental assortative mating.33,34 When parental assortative mating occurs, high-risk genes are transmitted from 2 AUD parents to their offspring. Another possibility could be the propensity of a sober partner to become alcoholic as a result of exposure to the spouse’s drinking, which in turn could worsen the home environment in which the offspring grows up. Regarding offspring of 1 AUD parent, our results were similar to that of the Danish study18 in which offspring with an AUD parent had 2-fold increased odds of developing AUD. Regardless, these studies demonstrated higher odds of AUD in offspring of AUD parents.

Our data also showed the additive parental effect on offspring AUD, indicating that each addition of an AUD parent increased the odds of offspring AUD. Compared to 1 AUD parent (AOR = 2.51), 2 AUD parents (AOR = 4.44) significantly increased the odds of offspring AUD. This finding suggests that doubling the number of AUD parents almost doubled the number of offspring with AUD. Alternatives would be the threshold effect as shown in the Munich community study,19 in which the increase would occur from non-AUD parents to 1 AUD parent, and then level off from 1 AUD parent to 2 AUD parents. This threshold pattern would indicate that the influence for offspring AUD would be more environmental, with the 1-parent condition and the 2-parent condition having the same or similar effect. A geometric increase from non-AUD parents to 1 AUD parent and then a much larger increase from 1 AUD parent to 2 AUD parents might suggest a combination of both genetic and environmental factors creating a very great likelihood of AUD in the offspring. The additive parental effect that we observed seems most consistent with genetic effects accounting for the increase but with minimal environmental pathogenicity from 1 AUD parent to 2 AUD parents.

Although male offspring had higher prevalence rates of AUD than female offspring in all groups, this study identified that female offspring were more vulnerable to the impact of parental alcohol problems. Female offspring of 2 AUD parents had higher odds of AUD (AOR = 5.26; 95% CI, 4.50-6.15) than male offspring of 2 AUD parents (AOR = 3.51; 95% CI, 2.88-4.27). This finding was consistent with previous studies demonstrating that parental AUD increased the risk of AUD more in female than male offspring,35-37 although other studies reported no gender differences.19,38 Several risk factors associated with female offspring AUD have been identified, such as negative affectivity, severe physical punishment, and childhood stressors.39 Offspring AUD was not affected by alcoholic parental gender with regard to the 95% CI, but AUD mother (AOR = 3.30; 95% CI, 2.73-3.80) tended to increase AUD more than AUD father (AOR = 2.57; 95% CI, 2.36-2.80) in female offspring. There are several studies demonstrating that maternal AUD causes higher rates of offspring AUD than paternal AUD.40-42 The increased risk from maternal AUD could be due to intrauterine effects of alcohol on the fetus,43-45 maternal AUD-related anxiety and depressive symptoms in offspring,46 or other familial environmental influences. Other studies, however, reported that both maternal and paternal AUD have a similar risk of offspring AUD.4,38 More research is needed to assess the effect of alcoholic parental gender on offspring AUD.

There are several limitations in the study. First, information on parental AUD was obtained from the offspring rather than from the parents. Although family history data on AUD is highly specific, it tends to be less sensitive.47 Given the reduced sensitivity, some individuals classified with non-AUD parents may have had AUD parents. Also, the term parental AUD was used in this article to save space although the term parental AUD reported by offspring would have been correct. Second, cross-sectional data limit the ability to distinguish between genetic, conception, intrauterine, and environmental factors. Third, the NESARC sample excluded individuals in hospitals and correctional settings. If these individuals were assessed, our data could have encompassed more severe cases of AUD.

In conclusion, our study showed that offspring with 1 AUD parent are at 2.51-fold higher odds and offspring with 2 AUD parents are at 4.44-fold higher odds for lifetime AUD. Offspring of AUD parents, however, can be resilient.48 By utilizing these findings, clinicians may provide relevant education and administer screenings for AUD, which has been found to be a prevalent disorder affecting approximately 18%49 to 30%50 of the population. Asking patients about parental AUD is a highly efficient way of screening for AUD. Also, most parents prefer physicians to initiate discussion on parental alcohol use.51 Clinicians can play an active role in educating individuals with parental AUD and their families, providing resources, and discussing prevention52 and intervention53 to mitigate other risk factors of AUD.

Disclosure of off-label usage: The authors have determined that, to the best of their knowledge, no investigational information about pharmaceutical agents that is outside US Food and Drug Administration-approved labeling has been presented in this article.

Author affiliations: Department of Psychiatry, Minneapolis VA Health Care System and University of Minnesota, Minneapolis.

Financial disclosure: Drs Yoon, Westermeyer, and Kuskowski and Ms Nesheim have no personal affiliations or financial relationships with any commercial interest to disclose relative to the article.

Funding/support: None reported.

Acknowledgment: The authors thank Julie Tomaska, PhD, of the Minneapolis VA Health Care System, for editing the manuscript. Dr Tomaska has no personal affiliations or financial relationships with any commercial interest to disclose relative to the article.

Additional information: The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) is owned by the National Institute on Alcohol Abuse and Alcoholism (NIAAA). To access the NESARC data, researchers can contact the NIAAA at http://www.niaaa.nih.gov/about-niaaa/contact-us.

REFERENCES

1. Bouchery EE, Harwood HJ, Sacks JJ, et al. Economic costs of excessive alcohol consumption in the US, 2006. Am J Prev Med. 2011;41(5):516-524. PubMed doi:10.1016/j.amepre.2011.06.045

2. World Health Organization. The World Health Report 2002: Reducing Risk, Promoting Healthy Life. Geneva, Switzerland: World Health Organization; 2002.

3. Cloninger CR, Bohman M, Sigvardsson S. Inheritance of alcohol abuse: cross-fostering analysis of adopted men. Arch Gen Psychiatry. 1981;38(8):861-868. PubMed doi:10.1001/archpsyc.1981.01780330019001

4. Kendler KS, Davis CG, Kessler RC. The familial aggregation of common psychiatric and substance use disorders in the National Comorbidity Survey: a family history study. Br J Psychiatry. 1997;170(6):541-548. PubMed doi:10.1192/bjp.170.6.541

5. Goodwin DW. Alcoholism and genetics: the sins of the fathers. Arch Gen Psychiatry. 1985;42(2):171-174. PubMed doi:10.1001/archpsyc.1985.01790250065008

6. Schuckit MA, Goodwin DA, Winokur G. A study of alcoholism in half siblings. Am J Psychiatry. 1972;128(9):1132-1136. PubMed

7. Schuckit MA, Smith TL. An 8-year follow-up of 450 sons of alcoholic and control subjects. Arch Gen Psychiatry. 1996;53(3):202-210. PubMed doi:10.1001/archpsyc.1996.01830030020005

8. Chalder M, Elgar FJ, Bennett P. Drinking and motivations to drink among adolescent children of parents with alcohol problems. Alcohol Alcohol. 2006;41(1):107-113. PubMed doi:10.1093/alcalc/agh215

9. Marmorstein NR, Iacono WG, McGue M. Alcohol and illicit drug dependence among parents: associations with offspring externalizing disorders. Psychol Med. 2009;39(1):149-155. PubMed doi:10.1017/S0033291708003085

10. Iacono WG, Malone SM, McGue M. Behavioral disinhibition and the development of early-onset addiction: common and specific influences. Annu Rev Clin Psychol. 2008;4(1):325-348. PubMed doi:10.1146/annurev.clinpsy.4.022007.141157

11. Jacob T, Waterman B, Heath A, et al. Genetic and environmental effects on offspring alcoholism: new insights using an offspring-of-twins design. Arch Gen Psychiatry. 2003;60(12):1265-1272. PubMed doi:10.1001/archpsyc.60.12.1265

12. True WR, Xian H, Scherrer JF, et al. Common genetic vulnerability for nicotine and alcohol dependence in men. Arch Gen Psychiatry. 1999;56(7):655-661. PubMed doi:10.1001/archpsyc.56.7.655

13. Kendler KS, Heath AC, Neale MC, et al. A population-based twin study of alcoholism in women. JAMA. 1992;268(14):1877-1882. PubMed doi:10.1001/jama.1992.03490140085040

14. Goldman D, Oroszi G, Ducci F. The genetics of addictions: uncovering the genes. Nat Rev Genet. 2005;6(7):521-532. PubMed doi:10.1038/nrg1635

15. Earls F, Reich W, Jung KG, et al. Psychopathology in children of alcoholic and antisocial parents. Alcohol Clin Exp Res. 1988;12(4):481-487. PubMed doi:10.1111/j.1530-0277.1988.tb00230.x

16. Reich W, Earls F, Frankel O, et al. Psychopathology in children of alcoholics. J Am Acad Child Adolesc Psychiatry. 1993;32(5):995-1002. PubMed doi:10.1097/00004583-199309000-00017

17. Johnson JG, Cohen P, Kasen S, et al. Association of maladaptive parental behavior with psychiatric disorder among parents and their offspring. Arch Gen Psychiatry. 2001;58(5):453-460. PubMed doi:10.1001/archpsyc.58.5.453

18. Sørensen HJ, Manzardo AM, Knop J, et al. The contribution of parental alcohol use disorders and other psychiatric illness to the risk of alcohol use disorders in the offspring. Alcohol Clin Exp Res. 2011;35(7):1315-1320. PubMed doi:10.1111/j.1530-0277.2011.01467.x

19. Lieb R, Merikangas KR, Höfler M, et al. Parental alcohol use disorders and alcohol use and disorders in offspring: a community study. Psychol Med. 2002;32(1):63-78. PubMed doi:10.1017/S0033291701004883

20. Schuckit MA. Relationship between the course of primary alcoholism in men and family history. J Stud Alcohol. 1984;45(4):334-338. PubMed

21. Stabenau JR. Implications of family history of alcoholism, antisocial personality, and sex differences in alcohol dependence. Am J Psychiatry. 1984;141(10):1178-1182. PubMed

22. Grant BF, Moore TC, Shepard J, et al. Source and Accuracy Statement: Wave I National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2003.

23. Grant BF, Stinson FS, Dawson DA, et al. Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004;61(8):807-816. PubMed doi:10.1001/archpsyc.61.8.807

24. Grant BF, Harford TC, Dawson DA, et al. The Alcohol Use Disorder and Associated Disabilities Interview schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample. Drug Alcohol Depend. 1995;39(1):37-44. PubMed doi:10.1016/0376-8716(95)01134-K

25. Grant BF, Dawson DA, Stinson FS, et al. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug Alcohol Depend. 2003;71(1):7-16. PubMed doi:10.1016/S0376-8716(03)00070-X

26. Grant BF, Dawson DA, Hasin DS. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Edition. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2001.

27. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Washington, DC: American Psychiatric Association; 1994.

28. Grant BF. Estimates of US children exposed to alcohol abuse and dependence in the family. Am J Public Health. 2000;90(1):112-115. PubMed doi:10.2105/AJPH.90.1.112

29. Kessler RC, McGonagle KA, Zhao S, et al. Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey. Arch Gen Psychiatry. 1994;51(1):8-19. PubMed doi:10.1001/archpsyc.1994.03950010008002

30. Seedat S, Scott KM, Angermeyer MC, et al. Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys. Arch Gen Psychiatry. 2009;66(7):785-795. PubMed doi:10.1001/archgenpsychiatry.2009.36

31. Beals J, Novins DK, Whitesell NR, et al. Prevalence of mental disorders and utilization of mental health services in two American Indian reservation populations: mental health disparities in a national context. Am J Psychiatry. 2005;162(9):1723-1732. PubMed doi:10.1176/appi.ajp.162.9.1723

32. Li D, Zhao H, Gelernter J. Strong protective effect of the aldehyde dehydrogenase gene (ALDH2) 504lys (*2) allele against alcoholism and alcohol-induced medical diseases in Asians. Hum Genet. 2012;131(5):725-737. PubMed doi:10.1007/s00439-011-1116-4

33. Grant JD, Heath AC, Bucholz KK, et al. Spousal concordance for alcohol dependence: evidence for assortative mating or spousal interaction effects? Alcohol Clin Exp Res. 2007;31(5):717-728. PubMed doi:10.1111/j.1530-0277.2007.00356.x

34. Maes HHM, Neale MC, Kendler KS, et al. Assortative mating for major psychiatric diagnoses in two population-based samples. Psychol Med. 1998;28(6):1389-1401. PubMed doi:10.1017/S0033291798007326

35. Pollock VE, Schneider LS, Gabrielli WF Jr, et al. Sex of parent and offspring in the transmission of alcoholism: a meta-analysis. J Nerv Ment Dis. 1987;175(11):668-673. PubMed doi:10.1097/00005053-198711000-00004

36. Sher KJ, Walitzer KS, Wood PK, et al. Characteristics of children of alcoholics: putative risk factors, substance use and abuse, and psychopathology. J Abnorm Psychol. 1991;100(4):427-448. PubMed doi:10.1037/0021-843X.100.4.427

37. Crum RM, Harris EL. Risk of alcoholism and parental history: gender differences and a possible reporting bias. Genet Epidemiol. 1996;13(4):329-341. PubMed doi:10.1002/(SICI)1098-2272(1996)13:4<329::AID-GEPI2>3.0.CO;2-#

38. Slutske WS, D’ Onofrio BM, Turkheimer E, et al. Searching for an environmental effect of parental alcoholism on offspring alcohol use disorder: a genetically informed study of children of alcoholics. J Abnorm Psychol. 2008;117(3):534-551. PubMed doi:10.1037/a0012907

39. Gogineni A, King S, Jackson K, et al. Female offspring of alcoholic individuals: recent findings on alcoholism and psychopathology risks: symposium presented at the Research Society on Alcoholism, 2004, Vancouver, Aruna Gogineni, Chair. Alcohol Clin Exp Res. 2006;30(2):377-387. PubMed doi:10.1111/j.1530-0277.2006.00042.x

40. Rognmo K, Torvik FA, Ask H, et al. Paternal and maternal alcohol abuse and offspring mental distress in the general population: the Nord-Trøndelag health study. BMC Public Health. 2012;12(1):448. PubMed doi:10.1186/1471-2458-12-448

41. Sørensen HJ, Mortensen EL, Reinisch JM, et al. Early weaning and hospitalization with alcohol-related diagnoses in adult life. Am J Psychiatry. 2006;163(4):704-709. PubMed doi:10.1176/appi.ajp.163.4.704

42. Bohman M, Sigvardsson S, Cloninger CR. Maternal inheritance of alcohol abuse: cross-fostering analysis of adopted women. Arch Gen Psychiatry. 1981;38(9):965-969. PubMed doi:10.1001/archpsyc.1981.01780340017001

43. Baer JS, Sampson PD, Barr HM, et al. A 21-year longitudinal analysis of the effects of prenatal alcohol exposure on young adult drinking. Arch Gen Psychiatry. 2003;60(4):377-385. PubMed doi:10.1001/archpsyc.60.4.377

44. Guerri C. Mechanisms involved in central nervous system dysfunctions induced by prenatal ethanol exposure. Neurotox Res. 2002;4(4):327-335. PubMed doi:10.1080/1029842021000010884

45. Alati R, Al Mamun A, Williams GM, et al. In utero alcohol exposure and prediction of alcohol disorders in early adulthood: a birth cohort study. Arch Gen Psychiatry. 2006;63(9):1009-1016. PubMed doi:10.1001/archpsyc.63.9.1009

46. Preuss UW, Schuckit MA, Smith TL, et al. Mood and anxiety symptoms among 140 children from alcoholic and control families. Drug Alcohol Depend. 2002;67(3):235-242. PubMed doi:10.1016/S0376-8716(02)00076-5

47. Rice JP, Reich T, Bucholz KK, et al. Comparison of direct interview and family history diagnoses of alcohol dependence. Alcohol Clin Exp Res. 1995;19(4):1018-1023. PubMed doi:10.1111/j.1530-0277.1995.tb00983.x

48. Werner EE. Resilient offspring of alcoholics: a longitudinal study from birth to age 18. J Stud Alcohol. 1986;47(1):34-40. PubMed

49. Grant BF, Harford TC. Comorbidity between DSM-IV alcohol use disorders and major depression: results of a national survey. Drug Alcohol Depend. 1995;39(3):197-206. PubMed doi:10.1016/0376-8716(95)01160-4

50. Hasin DS, Stinson FS, Ogburn E, et al. Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2007;64(7):830-842. PubMed doi:10.1001/archpsyc.64.7.830

51. Wilson CR, Harris SK, Sherritt L, et al. Parental alcohol screening in pediatric practices. Pediatrics. 2008;122(5):e1022-e1029. PubMed doi:10.1542/peds.2008-1183

52. Koning IM, van den Eijnden RJ, Engels RC, et al. Why target early adolescents and parents in alcohol prevention? The mediating effects of self-control, rules and attitudes about alcohol use. Addiction. 2011;106(3):538-546. PubMed doi:10.1111/j.1360-0443.2010.03198.x

53. Emshoff JG, Price AW. Prevention and intervention strategies with children of alcoholics. Pediatrics. 1999;103(5 pt 2):1112-1121. PubMed

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