Evidence map›Paper›PMID 39439910›Full record

ArticleHealth psychology and behavioral medicine2024

Look, over there! A streaker! - Qualitative study examining streaking as a behaviour change technique for habit formation in recreational runners.

Meghan Curran, Nicholas Larade, Gözde Özakinci, Gabriela Tymowski-Gionet, Stephan U Dombrowski

Abstract read
In one paragraph

Article in Health psychology and behavioral medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Meghan CurranFaculty of Kinesiology, University of New Brunswick, Fredericton, Canada.
Nicholas LaradeFaculty of Kinesiology, University of New Brunswick, Fredericton, Canada.
Gözde ÖzakinciDivision of Psychology, University of Stirling, Stirling, Scotland.
Gabriela Tymowski-GionetFaculty of Kinesiology, University of New Brunswick, Fredericton, Canada.
Stephan U DombrowskiFaculty of Kinesiology, University of New Brunswick, Fredericton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Running as a form of physical activity is beneficial to overall health and wellbeing. The aim of the study is to examine 'run streaking' (i.e. running on consecutive days, for a minimum period of time or distance, typically at least one mile) as a technique for habit formation and behaviour change. Methods: Qualitative semi-structured interviews with 21 recreational adult runners (11 female and 10 male). Run streak length ranged from a minimum of 100 days to over 4500 days. Transcripts were analysed using a hybrid deductive-inductive thematic analysis. Results: Run streaking was reported to lead to several benefits, health improvements and a sense of accomplishment, although many run streakers reported running through injuries and lack of recovery. Accounts of run streaking showed features of automaticity indicative of habitual behaviour. Other behavioural processes identified included motivation, identity, self-regulation and social support. Behavioural streaking showed the potential to influence change in behaviours other than running. Conclusion: Accounts of run streaking demonstrate an interplay between automatic and deliberate processes in the maintenance of running behaviour. Behavioural streaking is a technique that could be used in other behaviour change contexts beyond running to support habit formation.

Indexed as

behaviour change techniqueshabit theoryphysical activityrunningStreaking

Identifiers

PMID39439910
PMCPMC11494719

What OpenQuestion holds

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Registered trials

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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.