Cited by 285Behavioral Health and InterventionsPhysical Activity and HealthMotivation and Self-Concept in Sports

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index; none of the 19 sources its claims cite is checked for support yet.

Exercise habit formation in new gym members: a longitudinal study

Kaushal, Navin, Rhodes, Ryan E.·2015·Journal of Behavioral Medicine

Abstract

Reasoned action approaches have primarily been applied to understand exercise behaviour for the past three decades, yet emerging findings in unconscious and Dual Process research show that behavior may also be predicted by automatic processes such as habit. The purpose of this study was to: (1) investigate the behavioral requirements for exercise habit formation, (2) how Dual Process approach predicts behaviour, and (3) what predicts habit by testing a model (Lally and Gardner in Health Psychol Rev 7:S137-S158, 2013). Participants (n = 111) were new gym members who completed surveys across 12 weeks. It was found that exercising for at least four bouts per week for 6 weeks was the minimum requirement to establish an exercise habit. Dual Process analysis using Linear Mixed Models (LMM) revealed habit and intention to be parallel predictors of exercise behavior in the trajectory analysis. Finally, the habit antecedent model in LLM showed that consistency (β = .21), low behavioral complexity (β = .19), environment (β = .17) and affective judgments (β = .13) all significantly (p < .05) predicted changes in habit formation over time. Trainers should keep exercises fun and simple for new clients and focus on consistency which could lead to habit formation in nearly 6 weeks.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In new gym members, exercising at least four bouts per week for about 6 weeks was the minimum requirement to establish an exercise habit. Habit and intention predicted exercise behavior equally over 12 weeks, while consistency, low behavioral complexity, environment, and affective judgments predicted habit formation over time.

Key findings

  • Habit plateaued by week 6 (42–49 days), with 48% of the sample achieving habit formation; the SRBAI habit cut-off score was 2.80/5.
  • In trajectory analysis, habit (b = .23, p = .001) and intention (b = .23, p = .007) were equivalent predictors of exercise behavior; neither was significant at baseline.
  • Trajectory predictors of habit change were consistency (b = .21, p < .001), low behavioral complexity (b = .19, p < .001), environment (b = .17, p = .008), and affective judgments (b = .13, p = .003).
  • High frequency (≥4 days/week) predicted habit (b = .24, p < .001), while low frequency (<4 days/week) did not (b = .09, p = .42); by week 12, 63.8% of the high-frequency group versus 22.6% of the low-frequency group had achieved habit.

Methods

  • Longitudinal 12-week study of 111 new gym members (from 144 interested; 77% consented), aged 18–65, who had joined a gym/recreation centre within the past 2 weeks; surveys at baseline, week 6, week 9, and week 12.
  • Measures included the Godin Leisure Time Exercise Questionnaire for exercise behavior, the Self-Report Behavioral Automaticity Index for habit, an open intention item, modified Subjective Exercise Experience Scale for affective reward, and single/adapted items for consistency, environment comfort, and behavioral complexity.
  • Analyses used Linear Mixed Models in SPSS 20.0, survival analysis (Kaplan-Meier), ROC analysis for habit cut-off, and tests of time × frequency interaction and habit antecedents as predictors of habit formation.

Limitations

  • The paper states: there was variability in participants’ exercise history despite being new gym members; habit was assessed only at baseline, week 6, week 9, and week 12, so more frequent assessment in the first 6 weeks could better capture habit formation; the Lally and Gardner model did not specify measurement, so the study used a mixture of validated and customized items; future research should use objective measurement.
  • Evident in the text: exercise behavior and habit were self-reported, and the sample was 70% female, mean age 47.7 years, mean BMI 25.8, and largely postsecondary educated, which may limit generalizability.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s10865-015-9640-7

Cites

95 of 95 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

0 of 19 cited sources checked · 0 supported · 0 flagged

Show all 36 claims

  • It may state two separate claims as one. 13
  • Probably not a substantial claim. 15
24 of 24
  • The paper relies on this without support.

    No study has examined a time by frequency effect on habit formation.

    “Currently, no study has examined a time 9 frequency effect on habit formation.”
  • The paper relies on this without support.

    The enrolment spike during the New Year followed by a large drop-out of gym members is a well-known trend but is not clearly understood.

    “This was a relevant population for this study as the enrolment spike during the New Year followed by a large drop-out of gym members is a well-known trend but is not clearly understood.”
  • The paper relies on this without support.

    The single-item measure of temporal consistency validly assesses temporal consistency of exercise.

    “Temporal consistency had not been assessed in previous research at the time of the study. Hence, a measure was created to assess this construct.”
  • The paper relies on this without support.

    The single-item measure of comfort in the exercise environment validly assesses environmental support for exercise automaticity.

    “an item worded ''How comfortable do you feel in your exercise environment'' which was scored on a five point Likert scale (1 = not very comfortable to 5 = very comfortable) was used to assess if the environment supported the process of behavior.”
4 of 4

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • ConsistentF(1, 101) = 0.22reported p = .64 · recomputed p = .640

    “F (1, 101) = .22, p = .64”

  • ConsistentF(1, 101) = 0.9reported p = .34 · recomputed p = .345

    “F (1, 101) = .90, p = .34”

  • ConsistentF(1, 99) = 8.78reported p = .004 · recomputed p = .004

    “F (1, 99) = 8.78, p = .004”

  • ConsistentF(1, 233) = 14.96reported p = .001 · recomputed p < .001

    “F (1, 233) = 14.96, p = .001”

    The paper prints p at a floor (such as p < .001)

  • ConsistentF(1, 106) = 13.36reported p = .001 · recomputed p < .001

    “F(1, 106) = 13.36, p = .001”

    The paper prints p at a floor (such as p < .001)

5 of 5

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Baseline environment cue is both marked significant and described as nonsignificant

    Minor

    Table 3 marks the baseline environment-cue B value with an asterisk, while the results text says cues were not significant at baseline.

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. IBM. (2011). IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.

Cited by

Sorted by citations

See all 285

Metadata

Authors
Kaushal, N., & Rhodes, R. E.
Affiliations
University of Victoria (CA)
Corresponding author
Kaushal, Navin
Venue
Journal of Behavioral Medicine
Published
2015-04-08
Volume
38
Issue
4
Pages
652-663
ISSN
  • 0160-7715 (ISSN-L)
  • 1573-3521
OpenAlex
W2012941021
Cited by
285
References
90
Citations by year
2026: 28 · 2025: 27 · 2024: 24 · 2023: 20 · 2022: 30 · 2021: 27 · 2020: 77 · 2019: 12 · 2018: 16 · 2017: 12 · 2016: 9 · 2015: 2
FWCI
20.88
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Behavioral Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
Keywords
exercise habit formation, gym members, dual-process theory, automatic processes, exercise intention, behavioral complexity, affective judgment, exercise behavior change
MeSH terms
Adolescent, Adult, Aged, Female, Habits, Humans, Longitudinal Studies, Male, Middle Aged, Reward, Social Environment, Exercise, Intention, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review