Dropping Out or Keeping Up? Early-Dropouts, Late-Dropouts, and Maintainers Differ in Their Automatic Evaluations of...

Area of Science:

• Behavioral Science
• Psychology
• Exercise Science

Background:

• Understanding factors influencing exercise adherence is crucial for public health.
• Automatic evaluations (implicit attitudes) may play a role in sustained physical activity.
• Previous research has not fully explored the link between implicit exercise attitudes and adherence patterns.

Purpose of the Study:

• To investigate the relationship between automatic evaluations of exercising (AEE) and adherence to a 3-month exercise program.
• To identify distinct adherence patterns within a participant cohort.
• To determine if initial AEE predict these adherence patterns.

Main Methods:

• Eighty-eight participants completed a Brief-Implicit Association Task to measure AEE and explicit associations with exercise.
• Adherence was tracked via attendance data over a 3-month period.
• Cluster analysis identified three adherence patterns: maintainers, early dropouts, and late dropouts.

Main Results:

• Significant differences in positive and negative associations with exercise were found across the three adherence clusters.
• Positive associations with exercise emerged as a strong predictor of adherence.
• Automatic evaluations of exercise were significantly related to exercise behavior over the medium term.

Conclusions:

• Initial positive implicit attitudes towards exercise are crucial for maintaining adherence.
• These findings support a dual-process perspective on health behavior, highlighting the role of automatic evaluations.
• Results can inform the development of targeted interventions to improve exercise adherence.