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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Stress Prevention and Stress Management Techniques IV01:26

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Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Prospective Study
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Longitudinal Studies01:26

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
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Related Experiment Video

Updated: May 26, 2026

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
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Predicting persistent alcohol problems: a prospective analysis from the Great Smoky Mountain Study.

W E Copeland1, A Angold, L Shanahan

  • 1Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA. William.Copeland@duke.edu

Psychological Medicine
|December 14, 2011
PubMed
Summary

Alcohol abuse symptoms in adolescence, not dependence, predict persistent alcohol problems into the mid-20s. Identifying these risk factors can aid early intervention for alcohol use disorders.

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Area of Science:

  • Psychiatry
  • Addiction Medicine
  • Developmental Psychology

Background:

  • Alcohol use disorders are common in late adolescence but typically decline by the mid-20s.
  • Understanding factors predicting persistent alcohol problems is crucial for targeted interventions.

Purpose of the Study:

  • To identify risk factors predicting the persistence of alcohol use disorders from late adolescence into the mid-20s.

Main Methods:

  • Prospective, population-based Great Smoky Mountains Study (GSMS) data from 1420 participants.
  • Defined 'alcohol persisters' as individuals with an alcohol use disorder at ages 19/21 and mid-20s.
  • Analyzed risk factors associated with persistent alcohol disorder status.

Main Results:

  • Prevalence of alcohol use disorders significantly decreased from late adolescence to mid-20s.
  • One-third of adolescents with alcohol use disorders met criteria in young adulthood.
  • Risk factors for persistence included multiple alcohol abuse symptoms (not dependence), craving, drinking to unconsciousness, depression, cannabis, and illicit substance use.

Conclusions:

  • Symptoms of alcohol abuse, rather than dependence, are key predictors of long-term alcohol problems.
  • Identified risk factors can serve as a screening tool for early, targeted prevention of alcohol use disorders.