Cited by 0Knee injuries and reconstruction techniquesSport Psychology and PerformanceMusculoskeletal pain and rehabilitation

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index; 13 of the 28 sources its claims cite were checked for support.

Determinants of Psychological Readiness to Return to Sport After Anterior Cruciate Ligament Reconstruction

Open access

Abstract

Background: Psychological and physical factors influence recovery after anterior cruciate ligament (ACL) reconstruction (ACLR). However, the relative contributions of psychological, subjective, and objective recovery measures to psychological readiness for return to sport remain unclear. Objective: To identify psychological, subjective, and objective recovery factors associated with psychological readiness to return to sport approximately 6 months after ACLR. Design: Cross-sectional study. Setting: University laboratory. Patients or Other Participants: A total of 58 participants (31 [53%] females; age = 18.95 ± 5.20 years), who completed standardized postoperative rehabilitation and follow-up testing at approximately 6 months after primary unilateral ACLR, were included. Main Outcome Measure(s): We measured psychological readiness using the ACL-Return to Sport after Injury (ACL-RSI) scale and conducted hierarchical regression analyses to examine predictors of psychological readiness across 4 conceptually ordered domains: (1) demographics (age, sex, and time since surgery), (2) generalized anxiety (Patient-Reported Outcomes Measurement Information System Anxiety Scale) and kinesiophobia (Tampa Scale for Kinesiophobia 11), (3) knee-specific patient-reported outcomes (Knee Injury and Osteoarthritis Outcomes Scale [KOOS] subscales of Pain, Symptoms, Quality of Life [QoL], and Sport), and (4) objective functional measures (quadriceps strength and single-legged hop symmetry). We conducted hierarchical linear regression in conceptually ordered blocks. Results: Demographic factors explained minimal variance in psychological readiness (1%–4%). Generalized anxiety contributed an additional 18.1%, and kinesiophobia (Tampa Scale for Kinesiophobia 11, 22.3%), QoL (KOOS-QoL, 9.8%), and subjective sport function (KOOS-Sport, 5.3%) emerged as the strongest incremental predictors. Pain, symptoms, and objective function contributed little additional variance. The full model explained 70.5% of the variance in ACL-RSI scores (adjusted R 2 = 0.64, P < .001), and cross-validation produced a comparable R 2 (0.61), indicating good model generalizability and minimal overfitting. Conclusions: Fear-related beliefs and perceived function exerted stronger influences on psychological readiness after ACLR than objective functional symmetry. These findings highlight the importance of biopsychosocial assessment models and sport-specific psychological measures to enhance return-to-sport decision-making and long-term recovery outcomes.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This cross-sectional study examined psychological, subjective, and objective factors associated with psychological readiness to return to sport about 6 months after ACL reconstruction. Kinesiophobia, knee-related quality of life, and perceived sport function were the strongest predictors, while pain/symptoms and objective strength/hop symmetry contributed little unique variance.

Key findings

  • The overall model explained 70.5% of variance in ACL-RSI scores (adjusted R² = 0.64, P < .001; cross-validated R² = 0.61).
  • In hierarchical regression, kinesiophobia added 22.3% variance and generalized anxiety added 18.1%; KOOS-QoL added 9.8%, KOOS-Sport added 5.3%, and KOOS-Pain/Symptoms added 2.7%. Objective measures contributed little (quadriceps strength symmetry = −0.6%; single-legged hop symmetry = 0.6%).
  • Variance decomposition showed the strongest overall contributors were KOOS-QoL (18.8%), KOOS-Sport (14.8%), and kinesiophobia (13.3%), followed by KOOS-Pain/Symptoms (9.3%), hop-distance symmetry (5.2%), and generalized anxiety (5.0%).
  • Largest unique contributors were KOOS-Sport (4.9%), kinesiophobia (3.6%), and KOOS-QoL (3.3%); all other predictors explained <1.5% additional variance.

Methods

  • Single-site cross-sectional analysis within a larger ongoing longitudinal study; 58 participants (31 [53%] female; age = 18.95 ± 5.20 years; time since surgery = 6.32 ± 1.90 months) aged 13–36 years who had primary unilateral ACLR 3–12 months earlier.
  • Primary outcome was psychological readiness to return to sport measured by the ACL-RSI. Predictors included demographics, PROMIS Anxiety, Tampa Scale for Kinesiophobia 11, KOOS subscales, quadriceps strength symmetry, and single-legged hop-distance symmetry.
  • Hierarchical linear regression entered predictors in conceptual blocks; variance decomposition used the Lindeman, Merenda, and Gold method and semipartial R², with repeated 10-fold cross-validation (50 repeats).

Limitations

  • The authors state that data came from a single clinical site, which may limit generalizability to broader ACLR populations with different rehabilitation practices, demographics, or sport demands.
  • The authors state that the modest sample size (n = 58) reduced statistical power, limiting detection of smaller but clinically meaningful effects; smaller ΔR² values for KOOS-Pain/Symptoms and objective measures should be interpreted cautiously.
  • The authors state that the cross-sectional design precluded causal or temporal conclusions, and that unmeasured constructs such as reinjury anxiety, motivation, coping style, or social support may account for additional variance.

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

Integrity signals

Registry

Crossref · 10.4085/1062-6050-0696.25

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

13 of 28 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

Show all 19 claims

  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 10
29 of 29

Citations

Cites

Flagged first, then by citations

Show all 44 references

Cited by

Still being checked.

Metadata

Authors
Murphy, T., Lyons, L., Mertz-Bynum, N., Lugin, A., Harkey, M. S., Kuenze, C., Baez, S., Myer, G. D., Diekfuss, J., & Petushek, E.
Affiliations
  • Michigan State University (US)
  • Michigan Technological University (US)
  • University of Virginia (US)
  • University of North Carolina at Chapel Hill (US)
  • Georgia Institute of Technology (US)
  • Emory University (US)
Venue
Journal of Athletic Training
Published
2026-10
Volume
61
Issue
10
Pages
668-674
ISSN
  • 1062-6050 (ISSN-L)
  • 1938-162X
OpenAlex
W7165025947
Cited by
0
References
44
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Journal of Athletic Training (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
  • Digital Commons - Michigan Tech (Michigan Technological University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
  • Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
Keywords
anterior cruciate ligament reconstruction, return to sport, psychological readiness, kinesiophobia, generalized anxiety disorder, quadriceps strength, ACL-RSI scale, biopsychosocial model
MeSH terms
Return to Sport, Anterior Cruciate Ligament Injuries, Patient Reported Outcome Measures, Kinesiophobia, Adolescent, Adult, Anxiety, Cross-Sectional Studies, Female, Humans, Male, Quality of Life, Young Adult, Anterior Cruciate Ligament Reconstruction

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 2026-11-08, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-08 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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