Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Mar;27(1):52-61.
doi: 10.1037/a0028170. Epub 2012 May 21.

Prospective changes in alcohol use among hazardous drinkers in the absence of treatment

Affiliations

Prospective changes in alcohol use among hazardous drinkers in the absence of treatment

Ronda L Dearing et al. Psychol Addict Behav. 2013 Mar.

Abstract

Gaining a better understanding of the natural course of hazardous alcohol consumption could inform the development of brief interventions to encourage self-change. In the current study, hazardous drinkers (based on Alcohol Use Disorders Identification Test score) were recruited using advertisements to participate in a 2-year multiwave prospective study. Participants (n = 206) provided self-reports every six months during the study, including reports of daily alcohol consumption. The current investigation focuses on self-initiated change in participants' frequency of heavy drinking days (i.e., ≥ 5/4 drinks per day for men/women), as predicted by a number of demographic (e.g., age) and psychosocial (e.g., guilt-proneness) variables. Latent growth curve models of the change in percent heavy drinking days over the 2-year period provided an excellent fit to the observed data and indicated a significant decline in percent heavy drinking days over time. Reductions in heavy drinking frequency were predicted by younger age and higher guilt-proneness. The identification of these predictors of reductions in heavy drinking frequency provides information to guide future work investigating self-change among hazardous drinkers.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Figure 1a. Change in percent heavy drinking days by age groups (“older” age = at least one standard deviation above the mean on age, n = 37; “younger” = one standard deviation below the mean or younger on age, n =45). Figure 1b. Change in percent heavy drinking days by guilt groups (“high guilt” = at least one standard deviation above the mean on the TOSCA Guilt scale, n = 54; “low guilt” = one standard deviation below the mean or lower on TOSCA Guilt scale, n =37).
Figure 1
Figure 1
Figure 1a. Change in percent heavy drinking days by age groups (“older” age = at least one standard deviation above the mean on age, n = 37; “younger” = one standard deviation below the mean or younger on age, n =45). Figure 1b. Change in percent heavy drinking days by guilt groups (“high guilt” = at least one standard deviation above the mean on the TOSCA Guilt scale, n = 54; “low guilt” = one standard deviation below the mean or lower on TOSCA Guilt scale, n =37).

References

    1. Aiken LS, West SG. Multiple Regression: Testing and interpreting interactions. Newbury Park, CA: Sage; 1991.
    1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. IV. Washington, DC: Author; 1994.
    1. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. The Alcohol Use Disorders Identification Test: Guidelines for use in primary care. (2) 2001 Retrieved from the World Health Organization website: http://whqlibdoc.who.int/hq/2001/who_msd_msb_01.6a.pdf.
    1. Bachman JG, O’Malley PM, Schulenberg JE, Johnston LD, Bryant AL, Merline AC. The decline of substance use in young adulthood: Changes in social activities, roles, and beliefs. Mahwah, NJ: Lawrence Erlbaum Associates; 2002.
    1. Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin. 1990;107:238–246. doi: 10.1037/0033-2909.107.2.238. - DOI - PubMed

Publication types