Developing an empirical typology for regular exercise.
BACKGROUND
Tailored interventions require the identification of distinct homogenous subgroups that will benefit from different intervention materials. One way to identify such subgroups is to use cluster analysis to identify an empirical typology.


METHODS
A sample of 346 adults completed surveys through a telephone interview that included questions related to participating in regular exercise. The three variables used in the cluster analysis were the Pros of Exercise, the Cons of Exercise, and Exercise Self-Efficacy.


RESULTS
Six resulting clusters were labeled Disengaged, Immotive, Relapse Risk, Early Action, Maintainers, and Habituated. A series of analyses tested the internal and external validity of the typology. The internal validity test revealed that four of the clusters demonstrated high stability and replicability, while the Relapse Risk and Early Action clusters were less stable. Differences among clusters on self-reported exercise behavior and a strong association with stage of change for regular exercise provided external validity evidence of the typology.


CONCLUSIONS
The resulting typology reflects a range of motivational patterns that are likely to be responsive to different types of messages and strategies regarding adoption and maintenance of regular exercise. The typology also generates a number of hypotheses about the identified clusters that can be empirically tested in further studies.
Norman
Gregory J
GJ
PACE Project, University of California San Diego, 9500 Gilman Drive, Department 0811, La Jolla, CA 92093-0811, USA.
Velicer
Wayne F
WF
D000328:Adult; D000465:Algorithms; D016000:Cluster Analysis; D003625:Data Collection / Q000379:methods; D036262:Empirical Research; D015444:Exercise; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009042:Motivation; D015999:Multivariate Analysis; D015203:Reproducibility of Results