Testing self-regulation interventions to increase walking using factorial randomized N-of-1 trials

Health Psychol. 2012 Nov;31(6):733-7. doi: 10.1037/a0027337. Epub 2012 Feb 20.

Abstract

Objective: To investigate the suitability of N-of-1 randomized controlled trials (RCTs) as a means of testing the effectiveness of behavior change techniques based on self-regulation theory (goal setting and self-monitoring) for promoting walking in healthy adult volunteers.

Method: A series of N-of-1 RCTs in 10 normal and overweight adults ages 19-67 (M = 36.9 years). We randomly allocated 60 days within each individual to text message-prompted daily goal-setting and/or self-monitoring interventions in accordance with a 2 (step-count goal prompt vs. alternative goal prompt) × 2 (self-monitoring: open vs. blinded Omron-HJ-113-E pedometer) factorial design. Aggregated data were analyzed using random intercept multilevel models. Single cases were analyzed individually. The primary outcome was daily pedometer step counts over 60 days.

Results: Single-case analyses showed that 4 participants significantly increased walking: 2 on self-monitoring days and 2 on goal-setting days, compared with control days. Six participants did not benefit from the interventions. In aggregated analyses, mean step counts were higher on goal-setting days (8,499.9 vs. 7,956.3) and on self-monitoring days (8,630.3 vs. 7,825.9). Multilevel analyses showed a significant effect of the self-monitoring condition (p = .01), the goal-setting condition approached significance (p = .08), and there was a small linear increase in walking over time (p = .03).

Conclusion: N-of-1 randomized trials are a suitable means to test behavioral interventions in individual participants.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Adult
  • Aged
  • Feasibility Studies
  • Female
  • Goals
  • Health Promotion / methods*
  • Humans
  • Male
  • Middle Aged
  • Psychological Theory
  • Research Design
  • Social Control, Informal*
  • Text Messaging
  • Walking / psychology*
  • Walking / statistics & numerical data*