Evidence map›Paper›PMID 31438956›Full record

ArticleThe international journal of behavioral nutrition and physical activity2019

How we are misinterpreting physical activity intention - behavior relations and what to do about it.

Amanda L Rebar, Ryan E Rhodes, Benjamin Gardner

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. "It just happens": A qualitative analysis of unintentional tanning behaviors.Journal of American college health : J of ACH · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Amanda L RebarSchool of Health, Medical, and Applied Sciences, Central Queensland University, Building 18, Room 1.33, Bruce Highway, Rockhampton, Queensland, 4703, Australia. a.rebar@cqu.edu.au.ORCID 0000-0003-3164-993X
Ryan E RhodesSchool of Exercise Science, Physical and Health Education, University of Victoria, Room 189, McKinnon Building, Victoria, BC, V8W 3H5, Canada.
Benjamin GardnerDepartment of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, AH 2.11, Addison House, Guy's Campus, London, SE1 1UL, UK.
Central Queensland University · AUKing's College London · GBUniversity of Victoria · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundStudies of the physical activity intention-behavior gap, and factors that may moderate the gap (e.g., habit, perceived behavioral control), can inform physical activity promotion efforts. Yet, these studies typically apply linear modeling procedures, and so conclusions rely on linearity and homoscedasticity assumptions, which may not hold.

methodsWe modelled and plotted physical activity intention-behavior associations and the moderation effects of habit using simulated data based on (a) normal distributions with no shared variance, (b) correlated parameters with normal distribution, and (c) realistically correlated and non-normally distributed parameters.

resultsIn the uncorrelated and correlated normal distribution datasets, no violations were unmet, and the moderation effects applied across the entire data range. However, because in the realistic dataset, few people who engaged in physical activity behavior had low intention scores, the intention-behavior association was non-linear, resulting in inflated linear moderation estimations of habit. This finding was replicated when tested with intention-behavior moderation of perceived behavioral control.

conclusionsComparisons of the three scenarios illustrated how an identical correlation coefficient may mask different types of intention-behavior association and moderation effects. These findings highlight the risk of misinterpreting tests of the intention-behavior gap and its moderators for physical activity due to unfounded statistical assumptions. The previously well-documented moderating effects of habit, whereby the impact of intention on behavior weakens as habit strength increases, may be based on statistical byproducts of unmet model assumptions.

Indexed as

IntentionExerciseHabitsHealth BehaviorHumansLinear ModelsAssumption testingExerciseGoalsHabitMotivationSimulation

Identifiers

PMID31438956
PMCPMC6704506
OpenAlexW2969394002

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.