Re-evaluating the self-report habit index: the cases of physical activity and snacking habits

Psychol Health. 2019 Oct;34(10):1161-1178. doi: 10.1080/08870446.2019.1585852. Epub 2019 Mar 22.

Abstract

Objectives: The Self-Report Habit Index (SRHI) was originally reported as one-dimensional; however, habit has been described as characterised by several features. Moreover, one-dimensional models for the SRHI have demonstrated poor fit. Therefore, we aimed to compare multidimensional models with a one-dimensional model in both snacking and physical activity habits, besides examining further instrument characteristics. Design: A cross-sectional study was conducted with high school and university students (n = 555). Main outcome measure: The SRHI adapted for physical activity and for snaking habits was applied at one time point. Results: Nested models with one factor, two factors and three factors were compared. Next, a hierarchical second-order model was tested, and further validity issues, as well as invariance between habits, were examined. Three-dimensional models represented a better fit for both habits. However, fit was still inadequate in the snacking version. In addition, discriminant validity concerns emerged for the physical activity SRHI. Moreover, invariance between the snacking and the physical activity versions was not confirmed. Conclusions: Considering the SRHI as composed by the dimensions of 'lack of awareness', 'lack of control' and 'history of behavioural repetition' seems to be more accurate. Nevertheless, our findings suggest that further research is needed.

Keywords: Habit; SRHI; physical activity; snacking.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Costa Rica
  • Cross-Sectional Studies
  • Exercise / psychology*
  • Female
  • Habits*
  • Humans
  • Male
  • Reproducibility of Results
  • Schools
  • Self Report*
  • Snacks / psychology*
  • Students / psychology
  • Students / statistics & numerical data
  • Universities
  • Urban Population / statistics & numerical data
  • Young Adult