Too little, too much or just right: Injury/illness sensitivity and intentions to drink as a basis for alcohol consumer segmentation

Subst Use Misuse. 2019;54(6):894-898. doi: 10.1080/10826084.2018.1549081. Epub 2019 Jan 7.

Abstract

Background: Although alcohol is the most socially accepted drug, little is known about the classification of alcohol consumers into clusters influencing drinking outcomes. Past research has demonstrated that injury/illness sensitivity predicts health protecting behaviors.

Objectives: The present study explored whether alcohol consumers can be classified based on injury/illness sensitivity and intentions to reduce drinking, and whether the identified clusters exhibited meaningful differences in negative affect and drinking levels.

Methods: Four-hundred and eighty-six participants (54.3% male; mean [SD] age = 26.5 [7.2] years) completed online questionnaires between July and October of 2017. Questions were asked pertaining to injury/illness sensitivity, intentions to reduce drinking, negative affect, and heavy drinking behavior. A k-means cluster analysis was performed on illness/injury sensitivity and intentions to reduce drinking scores. We then examined whether clusters varied according to negative affect or drinking variables.

Results: The k-means cluster analysis identified four clusters: Insensitive non-internalizers, Insensitive internalizers, Sensitive non-internalizers, and Sensitive internalizers. Sensitive internalizers reported the highest, whereas Insensitive non-internalizers reported the lowest, negative affect. Sensitive internalizers also had the lowest percentage of heavy drinkers. Conclusion/importance: Current findings add to the alcohol literature by indicating that high sensitivity to illnesses/injuries and the internalization of sensitivities via behavior change intentions may provide the best protection against high alcohol consumption levels.

Keywords: Illness sensitivity; alcohol consumption; drinking intentions; injury sensitivity; negative affect.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Affect
  • Alcohol Drinking / psychology*
  • Cluster Analysis
  • Fear / psychology*
  • Female
  • Health Behavior*
  • Humans
  • Intention*
  • Male
  • Surveys and Questionnaires
  • Young Adult

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