Adolescent heavy episodic drinking trajectories and health in young adulthood.

Oesterle, Sabrina; Hill, Karl G.; Hawkins, J. David; Guo, Jie; Catalano, Richard F.; Abbott, Robert D.

doi:10.15288/jsa.2004.65.204

Cited by 162 publications

(145 citation statements)

References 35 publications

(45 reference statements)

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“…Stud. Alcohol Drugs 69: [866][867][868][869][870][871][872][873][874][875][876][877]2008) N UMEROUS STUDIES HAVE EXAMINED changes in volume and pattern of drinking over the life course, with most focusing on the heavy drinking trajectories from adolescence to early adulthood (Chassin et al, 2002;Hill et al, 2000;Oesterle et al, 2004;Schulenberg et al, 1996;Tucker et al, 2003;Windle et al, 2005). Within the developmental framework of this rich literature, numerous factors have discriminated among different drinking trajectories.…”

Section: Three-year Changes In Adult Risk Drinking Behavior Inmentioning

confidence: 99%

Three-Year Changes in Adult Risk Drinking Behavior in Relation to the Course of Alcohol-Use Disorders

Dawson

Stinson

Chou

et al. 2008

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: This study examines the associations between the course of alcohol-use disorder (AUD) and changes in average daily volume of ethanol intake, frequency of risk drinking, and maximum quantity of drinks consumed per day over a 3-year follow-up interval in a sample of U.S. adults. Method: Data were taken from a longitudinal study of a nationally representative sample of U.S. adults, who were 18 years of age and older (mean age = 46.4) when initially interviewed in 2001-2002 and successfully reinterviewed approximately 3 years later (n = 22,245 baseline drinkers). The time reference period for the drinking measures was the 12 months preceding the interview. Changes in consumption refl ect differences between Wave 1 and Wave 2 measures for individuals with nonmissing values at both Waves (n = 22,003 for volume of intake, 22,132 for frequency of risk drinking and 21,942 for maximum quantity of drinks). Results: There were positive changes in all consumption measures associated with developing an AUD and negative changes associated with remission of an AUD, even among individuals who continued to drink. Increases and decreases associated with onset and offset of dependence exceeded those associated with onset/offset of abuse only, and the decreases associated with full remission from dependence exceeded those associated with partial remission. There were few changes in consumption among individuals whose AUD status did not change. Interactions of AUD transitions with other factors indicate that development of an AUD is associated with a greater increase in consumption among men, possibly refl ecting their greater total body water and lower blood alcohol concentration in response to a given dose of ethanol, and among individuals with high baseline levels of consumption. Conclusions: Changes in consumption associated with onset and offset of AUD are substantial enough to have important implications for the risk of associated physical and psychological harm. (J. Stud. Alcohol Drugs 69: [866][867][868][869][870][871][872][873][874][875][876][877] 2008)

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Section: Three-year Changes In Adult Risk Drinking Behavior Inmentioning

confidence: 99%

Three-Year Changes in Adult Risk Drinking Behavior in Relation to the Course of Alcohol-Use Disorders

Dawson

Stinson

Chou

et al. 2008

J. Stud. Alcohol Drugs

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“…In an 8-year follow-up of Canadian adults 18-64 years of age, Murray et al (2002) found that having ever consumed 8+ drinks in a single day during the year preceding baseline was associated with increased risks of coronary heart disease and hypertension among men and of coronary heart disease among women. Oesterle et al (2004) reported that adolescents who engaged in chronic heavy drinking had increased risks of overweight, obesity and high blood pressure at age 24. In contrast, Steffens et al (2006) failed to find an association between risk drinking (5+/4+) at baseline and incidence of hypertension in a sample of adults followed for an average of 5.6 years, and Haynes et al (2005) reported no association between baseline risk drinking and the incidence of anxiety and depression.…”

Section: Introductionmentioning

confidence: 99%

A prospective study of risk drinking: At risk for what?

Dawson

Grant

2008

Drug and Alcohol Dependence

170

137

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Data from two waves of a nationally representative U.S. population sample were used to link frequency of risk drinking in the year preceding the Wave 1 interview with the incidence or occurrence of various adverse outcomes in the approximately 3-year period between the two interviews (n = 22,245 Wave 1 drinkers who were reinterviewed at Wave 2). Risk drinking was defined as consuming the equivalent of 5+ standard drinks in a day for men and the equivalent of 4 + standard drinks in a day for women. Controls included sociodemographic and health characteristics, mean quantity of drinks consumed on risk drinking days and average volume of intake on non-risk drinking days. The odds of nonhierarchical alcohol abuse and dependence, initiation of smoking and incidence of nicotine dependence were increased at all frequencies of risk drinking and showed a fairly continuous increase in magnitude with increasing frequency, reaching OR of 3.03 -7.23 for daily/near daily risk drinking. The incidence of liver disease was strongly increased among weekly or more frequent risk drinkers (OR = 2.78 -4.76). The odds of social harm, drug use and drug dependence were increased among daily/near daily risk drinkers (OR = 1.61 -2.63), and the likelihood of marital disruption and drivers license revocation showed near-significant increases at all frequencies of risk drinking. Frequency of risk drinking interacted with volume of intake on nonrisk drinking days in predicting alcohol abuse and illicit drug use and with duration of drinking in predicting alcohol dependence. Risk drinking poses a threat of many types of harm, both directly and indirectly through its association with smoking initiation and nicotine dependence. These findings have illustrative value for prevention programs, and they indicate that frequent risk drinker is a strong marker for alcoholism.

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“…Thus, Moffitt is ignoring a substantial proportion of adult offenders for whom she estimates no career trajectories. Many prior studies suffer this same limitation of focusing solely on juvenile careers (Nagin and Tremblay, 1999;Fergusson, et al, 2000;Maughan, et al, 2000;Colder, et al, 2001;Brame et al, 2001a;Nagin and Tremblay, 2001a;Nagin and Tremblay, 2001b;Brame et al, 2001b;Li, et al, 2001;Cote, et al, 2001;Cote, et al, 2002;Colder, et al, 2002;Lacourse et al, 2002;Chung, et al, 2002a;Guo, et al, 2002;Lacourse, et al, 2003;Broidy, et al, 2003;Mustillo, et al, 2003;Schaeffer, et al, 2003;Nagin, et al, 2003;Wiesner and Silbereisen, 2003;Oesterle, et al, 2004;Tremblay, et al, 2004;Hix-Small, et al, 2004;Wiesner and Windle, 2004;Bongers, et al, 2004;Brame, et al, 2005;. Moreover, Piquero and Brezina (2001) have disputed many of the reasons for adolescence-limited offending and found that, rather than being a specific cause for delinquency, the desire for autonomy is actually rather general, which is inconsistent with Moffitt's premise (1993).…”

Section: Critique Of Prior Researchmentioning

confidence: 99%

Moffitt Revisited: Delinquent and Criminal Career Paths in the 1958 Philadelphia Birth Cohort

Carkin¹,

Tracy²

2015

JLCJ

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Since the emergence of Moffitt's typology of criminal trajectories in 1993, considerable research has focused on whether distinct developmental, criminal paths exist and their value as a theoretical model. Moffitt's typology, however, is based on very limited data, with a small, non-representative sample. Either of these aspects of Moffitt's work and the many replications, could be responsible for the inconsistent results reported in the literature. This study used the data from 1958 Philadelphia Birth Cohort in an effort to replicate Moffitt's work and extend the empirical results from the replications. The 1958 Birth Cohort is extremely large [27,160 cases, with 13,160 males and 14,000 females]. The data cover the entire criminal careers of the cohort, from onset, as early as age seven, up to the 27th birthday. This longitudinal cohort design permits the examination of offense onset, progression, escalation and desistance. Detailed offense data are available thus facilitating the testing of many of Moffitt's assertions. We developed and tested four juvenile and adult career paths: nonoffender, limited, frequent, and chronic. Across the juvenile paths, age of first offense is significantly younger, average severity of the offense increases, as does the share of SellinWolfgang Index Offenses. The juvenile paths were significant predictors of the corresponding adult paths.

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Adolescent heavy episodic drinking trajectories and health in young adulthood.

Cited by 162 publications

References 35 publications

Three-Year Changes in Adult Risk Drinking Behavior in Relation to the Course of Alcohol-Use Disorders

Three-Year Changes in Adult Risk Drinking Behavior in Relation to the Course of Alcohol-Use Disorders

A prospective study of risk drinking: At risk for what?

Moffitt Revisited: Delinquent and Criminal Career Paths in the 1958 Philadelphia Birth Cohort

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