Gender differences in trajectories of depressive symptomatology and substance use during the transition from adolescence to young adulthood

Needham, Belinda L.

doi:10.1016/j.socscimed.2007.04.037

Cited by 111 publications

(112 citation statements)

References 26 publications

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“…This relationship has been observed in cross-sectional (Boschloo et al, 2011;Dawson et al, 2010;Grant et al, 2004;Schneier et al, 2010) and longitudinal Needham, 2007) studies. Depression and anxiety are often correlated, and evidence suggests that they are etiologically related (Hettema, 2008;Kendler et al, 2007Kendler et al, , 2011, but the relationship between alcohol-related phenotypes and anxiety is less consistent (e.g., Fröjd et al, 2011;Goodwin et al, 2004) than that between alcohol-related phenotypes and depression (Boden and Fergusson, 2011;Marmorstein, 2009;Pardini et al, 2007;Prescott et al, 2000).…”

supporting

confidence: 55%

“…In addition, most studies have focused on the relationship between clinical levels of internalizing and alcohol problems (Boschloo et al, 2011;Dawson et al, 2010;Grant et al, 2004;Schneier et al, 2010); the relationship between nonclinical alcohol phenotypes and later clinical levels of internalizing problems has been less well characterized, although it has been the focus of some research (e.g., Mason et al, 2008;Needham, 2007;Rohde et al, 1996;Weitzman, 2004). Such information has important public health consequences: If normative drinking is predictive of later internalizing problems, education and prevention efforts should not be limited to the most severely affected adolescent drinkers (Rose, 2001).…”

mentioning

confidence: 99%

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Adolescent Alcohol Use Is Positively Associated With Later Depression in a Population-Based U.K. Cohort

Edwards

Heron

Dick

et al. 2014

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Alcohol use and internalizing problems are often positively associated during adolescence and adulthood. However, the basis of this relationship remains poorly understood, and longitudinal data collected in population-based samples could improve the development of etiological models. Method: Using a prospective populationbased U.K. cohort, the current study examined the relationship between frequency of drinking during adolescence (ages 13-15, N = 7,100) with problems with depression and anxiety at average age 17 years 10 months (n = 4,292). Analyses were conducted separately by sex and adjusted by the inclusion of potential individual-and familial-level confounders. Results: Among boys, drinking frequency was positively associated with later depression but not anxiety. This association was robust to adjustment for covariates/confounders. Among girls, drinking frequency was related to later depression and anxiety in univariable analyses. In multivariable analyses, only the association with depression remained after adjustment for covariates/confounders. Results were comparable across sexes, although the effect size of drinking frequency was higher among boys. Conclusions: Higher adolescent alcohol use, even at subclinical levels, is associated with an increased risk of later problems with depression but may not be associated with an aggregate measure of anxiety. Future research should consider the possibility of differential relationships between multiple measures of adolescent alcohol use and distinct internalizing outcomes later in development. (J. Stud. Alcohol Drugs, 75, 758-765, 2014)

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supporting

confidence: 55%

mentioning

confidence: 99%

Adolescent Alcohol Use Is Positively Associated With Later Depression in a Population-Based U.K. Cohort

Edwards

Heron

Dick

et al. 2014

J. Stud. Alcohol Drugs

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“…This form of analysis, however, generally cannot handle many covariates; therefore, a judicious selection, both to control for and to test for effect, was required. Two factors found to be associated with change in drinking in prior studies were included here: (a) family history of alcohol problems (Chassin et al, 2004;D'Amico et al, 2005;Jackson et al, 2001;Walden et al, 2007;Warner et al, 2007) and (b) gender (Costanzo et al, 2007;Jackson et al, 2001Needham, 2007). The family history risk indicator was constructed as a binary marker, which was set to 1 if the respondent indicated that at least one of his or her parents or grandparents had a problem with alcohol and otherwise was set to 0.…”

Section: Methodsmentioning

confidence: 99%

Transitioning Into and Out of Problem Drinking Across Seven Years

Delucchi¹,

Weisner²

2010

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: The extent to which problem drinkers transition into and out of problem drinking was examined using Markov modeling. Method: Study participants (N = 1,350) were randomly sampled from one county's general population and from consecutive admissions to public and private alcohol treatment programs in the same county, and they were assessed at 1-, 3-, 5-, and 7-year follow-ups. At baseline, all met the criteria for problem drinking. Individuals were classifi ed as "problem drinkers" if they reported at least two of three criteria (heavy episodic drinking, social consequences, dependence symptoms according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) during the prior 12 months. Results: Although all possible patterns were observed, a latent Markov model with heterogeneous transitions and fi ve patterns fi t the data. The sampling frame and baseline alcohol severity related to pattern. Conclusions: The data indicate that, although they do change over time, problem drinkers on the whole are more likely either to remain problem drinkers or to cease to be problem drinkers than they are to move into and out of problem-drinking status. Once they transition out of problem drinking, they are more likely to remain nonproblem drinkers. O NE OF THE UNRESOLVED QUESTIONS in alcohol-related research is that of behavioral stability among adult drinkers. To what extent will they alter their drinking? What is the probability someone will change his or her drinking behavior, and what factors infl uence this probability? Does this probability change over time? These questions have clinical signifi cance because relapse is common and affects the effi cacy and cost of treatment. Positive change is the goal of treatment, and community interventions are diffi cult to accomplish. If we understood how often and how likely changes in drinking behavior occur, and what factors infl uence these changes, more targeted and effective interventions could be developed, and family members of problem drinkers would have a better idea of what to expect. Demonstrating that individuals effectively move out of problem drinking may help reduce the stigma associated with alcohol problems and encourage problem drinkers to seek help. This study addressed one aspect of the stability of problem drinking by estimating the probability that a problem drinker from a representative sample would transition into and out of problem drinking, and whether that probability of change varies over 7 years. Stability in problem drinking using a trajectories-based approachImprovements in longitudinal methods have made possible understanding changes in drinking behaviors and outcomes. A key fi nding from this research is that alcohol consumption is not necessarily a stable behavior, especially among heavy drinkers (Kaskutas et al

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“…Graduation from high school marks the end of adolescence and the beginning of adulthood for most youths living in industrialized countries (Gaudet 2007). From a psychosocial point of view, the transition from adolescence to early adulthood stands as a major life transition since, over a short period of time, high school graduates experience abrupt changes in their lifestyle and social identity and face new sources of stress, social network and social support that may foster or strain their psychological well-being (Creed, Muller, and Patton 2003, Needham 2007, Schulenberg, Sameroff, and Cicchetti 2004.…”

Section: Stress-related Factorsmentioning

confidence: 99%