Cited by 5Knee injuries and reconstruction techniquesMusculoskeletal pain and rehabilitationFoot and Ankle Surgery

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index; 16 of the 36 sources its claims cite were checked for support.

Biopsychosocial profiles following ACL reconstruction: A latent class analysis of barriers to return-to-activity

Open access

Abstract

OBJECTIVE: Understanding of how biopsychosocial factors interrelate to affect recovery from ACL injuries is essential for improving patient outcomes. This research aimed to use Latent Class Analysis (LCA) to classify individuals post-ACL reconstruction into subgroups reflecting their particular biopsychosocial challenges to recovery. DESIGN: Cross-Sectional. METHODS: This multisite investigation included 134 ACLR patients approximately 6 months (5.6 months ± 1.8 SD) following surgery. The ACL Reasons scale, various Patient Reported Outcome (PRO), and performance-based measures were assessed. LCA was used to categorize patients into subgroups based on the ACL Reasons scale. Subgroups were then compared across demographic, PRO, and performance-based measures using one-way analysis of variance and chi-squared tests. RESULTS: LCA identified two distinct groups of patients who were less active after ACL reconstruction, characterized by varying levels of injury related fear, anxiety and depression. These groups reported lower outcomes and demonstrated reduced performance on hop tests in comparison to those who were as active as before their surgery. CONCLUSION: Patients less active post-surgery fall into two categories: one hindered by injury-related fear and symptoms, the other by mostly symptoms alone. Tailored interventions could enhance recovery, with one group possibly benefiting from psychological support and the other from a focus on functional and symptomatic treatment.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a multisite cross-sectional sample of 134 ACLR patients about 5.6 months post-surgery, latent class analysis identified two distinct less-active subgroups: one limited mainly by injury-related fear plus symptoms, and one limited mainly by symptoms. Both less-active groups had poorer patient-reported outcomes and single-leg hop symmetry than patients who were as active as before surgery.

Key findings

  • Among 105 patients who were less active after ACLR, LCA identified two subgroups: a fear/symptom-limited group (n = 75; 71%) primarily endorsing fear of injury, concern that activity would worsen knee health, and fear of knee symptoms/movement, and a symptom-limited group (n = 30; 29%) primarily endorsing knee symptoms such as pain, swelling, locking, and catching.
  • Of the full 134-patient sample, 22% reported being “as active” as before ACLR and were excluded from LCA but retained as a reference group; this as-active group was on average ~1.75 months further out from surgery than both limited groups (p < 0.01).
  • The fear/symptom-limited group had the lowest psychological readiness (ACL-RSI) and highest kinesiophobia (TSK-11), anxiety, and depression among all groups. Both less-active groups had inferior PROs and single-leg hop LSI compared with the as-active group, while perceived and performance-based function did not differ between the two limited groups.
  • Quadriceps strength symmetry did not differ among groups, and all groups were below 90% quadriceps strength symmetry. The as-active group scored best and above all thresholds except isokinetic quadriceps LSI.

Methods

  • Multisite cross-sectional study of 134 patients aged 13–35 years who had primary, unilateral ACLR 3–12 months before assessment; mean time from surgery was 5.6 months ± 1.8 SD, mean age was 20.2 years ± 8.0 SD, and 55% were female.
  • Patients completed the ACL Reasons scale, which begins with a screening item on current activity relative to pre-injury (“as active,” “as active but challenging,” or “less active”); those selecting less-active options completed 14 barrier items covering biopsychosocial variables.
  • LCA used binary manifest variables from the ACL Reasons scale with the Polytomous Variable Latent Class Analysis package in R; models with 2–10 classes were assessed using BIC and AIC, and the lowest BIC model was selected. Groups were compared on demographics, PROs, and performance measures using one-way ANOVA with Tukey post-hoc tests and chi-squared tests, with p < 0.05.

Limitations

  • The paper states that LCA has inherent limitations, including inaccurate class assignments, inability to determine precise class sizes, and risk of “naming fallacy” in which class labels may not accurately reflect all members of a group.
  • The paper states the study was cross-sectional and represents a snapshot in time when one group was further postoperative, potentially influencing profiling; most participants were evaluated between 5 and 7 months post-ACLR, but the range may have influenced subgroup classification.
  • The paper states the single-item activity screener may not fully capture return-to-activity behavior, and sport played at injury was not consistently recorded, limiting accounting for sport-specific recovery factors. Evident from the text: the symptom-limited subgroup was small (n = 30), and the cross-sectional design cannot determine whether profiles change over time or relate to longer-term outcomes such as return-to-activity, reinjury risk, or osteoarthritis development.

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

Integrity signals

Registry

Crossref · 10.1016/j.ptsp.2025.08.004

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

16 of 36 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    LCA facilitates identification of distinct patient subgroups, to inform specific recovery trajectories shared among individuals based on common attributes.

    “LCA facilitates identification of distinct patient subgroups, to inform specific recovery trajectories shared among individuals based on common attributes.35,47”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [35] Muthén, 2002, Beyond SEM: General latent variable modeling, Behaviormetrika source

      The latent class analysis section says LCA finds clusters of similar individuals, and the latent class growth analysis section says individuals can be grouped by their trajectories over time. The paper discusses disease processes in medicine, but it does not specifically establish patient recovery trajectories; it describes trajectory grouping through latent class growth analysis rather than LCA alone. Page numbers are unavailable in our copy. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites [47] Shaw, 2017, Trends in pediatric and adolescent anterior cruciate ligament injuries in Victoria, Australia 2005–2015, Int J Env Res Public Health source

      The Materials and Methods section describes an analysis of Victorian hospital admissions for ACL injuries, while the Discussion addresses injury trends and prevention. Searches for latent class analysis, patient subgroups, and shared recovery trajectories found no passage addressing the attributed claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • Premisecitation

    These constructs-alongside physical function measures like strength and hop performance-offer complementary but distinct insights into the barriers patients face during rehabilitation.

    “These constructs—alongside physical function measures like strength and hop performance—offer complementary but distinct insights into the barriers patients face during rehabilitation.39”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [39] Ohji, 2021, Injury-related fear in athletes returning to sports after anterior cruciate ligament reconstruction - A quantitative content analysis of an open-ended questionnaire, Asia-Pac J Sports Med Arthrosc Rehabil Technol source

      The Clinical implication section says that assessing six injury-related fear concepts may help plan rehabilitation, and the Surgical technique and postoperative rehabilitation section uses strength and single-leg hop measures as criteria for partial sport participation. The paper does not assess whether the fear concepts and physical measures provide complementary but distinct insights into patients’ barriers. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Premisecitation

    LCA holds significant potential to uncover complicated recovery profiles following ACL injuries.

    “Building on progress in biopsychosocial characterization, recent developments in person-centered statistical methodologies, particularly latent class analysis (LCA), hold significant potential to uncover complicated recovery profiles following ACL injuries.21,27,35,42,53”
    Quote in the paperNot a substantial claim2 of 5 sources checked
    • cites [21] Irrgang, 2001, Development and validation of the international knee documentation committee subjective knee form, The American Journal of Sports Medicine source
    • cites [27] Lentz, 2015, Comparison of physical impairment, functional, and psychosocial measures based on fear of reinjury/lack of confidence and return-to-sport status after ACL reconstruction, The American Journal of Sports Medicine source
    • cites [35] Muthén, 2002, Beyond SEM: General latent variable modeling, Behaviormetrika source

      Section 3.1.1 shows latent class analysis identifying distinct behavioral profiles, and the latent class growth analysis section describes classes with different trajectories over time. These passages support LCA’s general potential to uncover complex profiles, but the paper does not address recovery following ACL injuries. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [42] Pilkonis, 2011, Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): Depression, anxiety, and anger, Assessment source

      The Results section describes confirmatory factor analysis of depression, anxiety, and anger items; the Discussion addresses item-bank models, not latent class analysis. Searches for LCA, recovery profiles, and ACL injuries found no passage in our copy addressing the claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites [53] Tegner, 1985, Rating systems in the evaluation of knee ligament injuries, Clinical orthopaedics source
  • Premisecitation

    Psychological readiness may serve as a more reliable indicator of successful return-to-activity compared to functional performance.

    “Yet psychological readiness may serve as a more reliable indicator of successful return-to-activity compared to functional performance.26,39,63”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites [26] Lee, 2021, Latent profile analysis of blood marker phenotypes and their relationships with clinical pain and interference reports in people with acute musculoskeletal trauma, Can J Pain source

      The Methods section measures functional recovery using pain and interference scores, while the Results compare those scores across blood-marker groups. Searches for psychological readiness, return to activity, and a comparison with functional performance found no passage addressing the claimed relative reliability. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites [39] Ohji, 2021, Injury-related fear in athletes returning to sports after anterior cruciate ligament reconstruction - A quantitative content analysis of an open-ended questionnaire, Asia-Pac J Sports Med Arthrosc Rehabil Technol source

      The Introduction (page unavailable) describes fear of movement and re-injury as psychological factors inhibiting return to sport, and reports greater fear among athletes who did not return at their previous performance level. But the paper does not compare psychological readiness with functional performance as indicators of successful return; its fear questionnaire was administered after participants had returned to sport. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [63] Xiao, 2023, Patients who return to sport after primary anterior cruciate ligament reconstruction have significantly higher psychological readiness: A systematic review and meta-analysis of 3744 patients, The American Journal of Sports Medicine source
  • Premisecitation

    The selected time window (3-12 months post-ACLR) reflects a critical period in rehabilitation where patients are commonly assessed for return-to-activity decisions.

    “The selected time window (3–12 months post-ACLR) reflects a critical period in rehabilitation where patients are commonly assessed for return-to-activity decisions.”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites [26] Lee, 2021, Latent profile analysis of blood marker phenotypes and their relationships with clinical pain and interference reports in people with acute musculoskeletal trauma, Can J Pain source

      The Methods section describes follow-up after general musculoskeletal injury, and the Introduction discusses pain-recovery trajectories over 12 months. Neither addresses rehabilitation after ACL reconstruction or when return-to-activity decisions are commonly made; searches for ACLR and return-to-activity assessment found no relevant passage. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
    • cites [28] Lo, 2025, Integrating psychological and physical assessments to obtain optimal return-to-sport outcomes after ACL reconstruction: A systematic review and network meta-analysis, J Sports Sci source

      The Study limitations section says most included studies focused on a 12-month return-to-sport criterion, and the study summaries describe an assessment at 6 months that predicted return at one year. This supports assessments during part of the proposed window, but the paper does not establish 3–12 months as a critical period in which patients are commonly assessed for return-to-activity decisions. Page numbers are unavailable in our copy. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
    • cites [56] Webster, 2018, Development and validation of a short version of the anterior cruciate ligament return to sport after injury (ACL-RSI) scale, Orthop J Sports Med source

      The Methods (Participants; page unavailable) describe criteria for running at 12 weeks, noncontact training at 6 months, and return to play at 9 months. The Methods (Procedures and Analysis; page unavailable) also assess psychological readiness at 6 months and return-to-sport status at 12 months. These passages support the relevance of the 3–12-month window in this study, but do not establish that patients are commonly assessed throughout that window or explicitly characterize it as a critical rehabilitation period. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim. 8
  • It may state two separate claims as one. 16
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation

    LCA has inherent limitations, such as inaccurate class assignments and the inability to determine precise class sizes, compounded by the risk of "naming fallacy" in which class labels may not accurately reflect characteristics of all members of a group.

    “LCA is a robust modeling approach, however this type of modeling has inherent limitations, such as inaccurate class assignments and the inability to determine precise class sizes, compounded by the risk of “naming fallacy” in which class labels may not accurately reflect characteristics of all members of a group.36”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [36] Nagai, 2020, Hop tests can result in higher limb symmetry index values than isokinetic strength and leg press tests in patients following ACL reconstruction, Knee Surgery, Sports Traumatology, Arthroscopy source

      Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.

      Experimental — accuracy not yet measured
  • It may state two separate claims as one.

    Premisecitation

    Application of latent and other mixture modeling techniques in ACL research has historically been constrained, often focusing on a singular variable such as delineating subgroups based on IKDC trajectory, or neglecting critical psychosocial variables such as fear of reinjury.

    “Although application of latent and other mixture modeling techniques in ACL research has historically been constrained—often focusing on a singular variable such as delineating subgroups based on International Knee Documentation Committee (IKDC) trajectory,42 or neglecting critical psychosocial variables such as fear of reinjury3—the landscape is evolving.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [42] Pilkonis, 2011, Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): Depression, anxiety, and anger, Assessment source

      Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.

      Experimental — accuracy not yet measured
    • cites [3] Arhos, 2023, Clinically relevant subgroups among athletes who have ruptured their anterior cruciate ligaments: A Delaware-Oslo cohort study, Arthritis Care & Research source

      Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

      Experimental — accuracy not yet measured
  • It may state two separate claims as one.

    Findingown data

    The two less-active groups reported lower outcomes and demonstrated reduced performance on hop tests in comparison to those who were as active as before their surgery.

    “These groups reported lower outcomes and demonstrated reduced performance on hop tests in comparison to those who were as active as before their surgery.”
    • Also stated in: § DISCUSSION · plain
      “The two less-active groups had inferior PROs and single-leg hop LSI compared to the as-active group.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data

    In total, 22% of the sample indicated they were "as active" as before ACLR and thus were not included in LCA but were included in the outcome comparison (as-active group).

    “In total, 22% of the sample indicated they were “as active” as before ACLR and thus were not included in LCA but were included in the outcome comparison (as-active group).”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data

    The as-active group scored best and above all thresholds on all outcome measures except isokinetic quadriceps LSI.

    “The as-active group scored best and above all thresholds (red dashed lines in Figure 2) on all outcome measures except isokinetic quadriceps LSI.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Figure 2

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Findingown data

    Many reported physical symptoms as a key barrier to regaining pre-surgery activity levels, while others highlighted fear.

    “Many reported physical symptoms as a key barrier to regaining pre-surgery activity levels, while others highlighted fear.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data

    The fear/symptom-limited group had the lowest psychological readiness (measured by ACL-RSI) and highest kinesiophobia (measured by TSK-11), anxiety, and depression amongst all groups.

    “The fear/symptom-limited group had the lowest psychological readiness (measured by ACL-RSI) and highest kinesiophobia (measured by TSK-11), anxiety, and depression amongst all groups (Figure 2).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Figure 2

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Findingown data

    Age, height, weight, proportion female, and pre-ACLR Tegner score did not significantly differ among groups.

    “Age, height, weight, proportion female, and pre-ACLR Tegner score did not significantly differ among groups (Table 1).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Table 1

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Findingown data

    Patients less active post-surgery fall into two categories: one hindered by injury-related fear and symptoms, the other by mostly symptoms alone.

    “Patients less active post-surgery fall into two categories: one hindered by injury-related fear and symptoms, the other by mostly symptoms alone.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The study sample is representative of the broader population of ACLR patients who are less active post-surgery.
  • Probably not a substantial claim.

    Premisecitation

    A widely accepted model of psychological response to sport injury indicates that cognitive, emotional, and behavioral reactions to sport injury are interrelated and influenced by the dynamic interplay of personal (biological and psychological) and situational variables.

    “A widely accepted model of psychological response to sport injury indicates that cognitive, emotional, and behavioral reactions to sport injury are interrelated and influenced by the dynamic interplay of personal (biological and psychological) and situational variables.61”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [61] Wiese-bjornstal, 1998, An integrated model of response to sport injury: Psychological and sociological dynamics, Journal of Applied Sport Psychology source
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Premisecitation

    The ACL Reasons scale is a beneficial tool to potentially define subgroups within patients who have an ACL injury with similar reasons for not returning to pre-injury levels of physical activity.

    “The ACL Reasons scale is a beneficial tool to potentially define subgroups within patients who have an ACL injury with similar reasons for not returning to pre-injury levels of physical activity, which could enable a more tailored approach to recovery.24”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Study design and conductnone given

    Most participants were evaluated between 5 and 7 months post-ACLR, and this range may have influenced subgroup classification.

    “Although most participants were evaluated between 5 and 7 months post-ACLR, this range may have influenced subgroup classification.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation

    The prior study's contributions are tempered by its limitations, including considerable variability in the timing of follow-up assessments, absence of objective functional measures, and potential selection bias stemming from low response rates.

    “However, the study’s contributions are tempered by its limitations, including considerable variability in the timing of follow-up assessments, absence of objective functional measures, and potential selection bias stemming from low response rates.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [25] Langford, 2009, A prospective longitudinal study to assess psychological changes following anterior cruciate ligament reconstruction surgery, British Journal of Sports Medicine source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Study design and conductnone given

    The single-item activity screener used to determine completion of the ACL Reasons scale may not fully capture the complexity of return-to-activity behavior and could introduce variability in group classification.

    “Additionally, the single-item activity screener used to determine completion of the ACL Reasons scale may not fully capture the complexity of return-to-activity behavior and could introduce variability in group classification.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationcitation

    The study extends prior work by incorporating psychological and biopsychosocial barriers to activity, providing a complementary perspective on recovery profiling.

    “our study extends this work by incorporating psychological and biopsychosocial barriers to activity, providing a complementary perspective on recovery profiling.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Few studies have used latent class analysis to examine biopsychosocial recovery profiles post-ACLR.
  • It may state two separate claims as one.

    Premisecitation

    The ACL Reasons scale has demonstrated face and content validity and is designed to align with theoretical models of rehabilitation behavior, such as the fear-avoidance and biopsychosocial models.

    “The ACL Reasons scale has demonstrated face and content validity and is designed to align with theoretical models of rehabilitation behavior, such as the fear-avoidance and biopsychosocial models.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Study design and conductreasoning

    This study was cross-sectional and represents a snapshot in time when one group was further postoperative-ACLR, thus potentially influencing the profiling results.

    “Another limitation was that this study was cross-sectional and represents a snapshot in time when one group was further postoperative-ACLR, thus potentially influencing the profiling results.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisereasoning

    The ACL Reasons scale offers a more comprehensive assessment than the ACL-RSI, including psychological factors like injury-related fear and confidence and also evaluating symptoms, motivation, and social factors.

    “In contrast to the ACL-RSI, the ACL Reasons scale offers a more comprehensive assessment that not only includes psychological factors like injury-related fear and confidence but also evaluates symptoms, motivation, and the influence of social factors on an individual’s return-to-activity.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Study design and conductown data

    The sport played at the time of injury was not consistently recorded across participants and was therefore not analyzed, which limits our ability to account for sport-specific recovery factors.

    “Finally, the sport played at the time of injury was not consistently recorded across participants and was therefore not analyzed, which limits our ability to account for sport-specific recovery factors.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation

    Model-based subgrouping like LCA is intended to be hypothesis-generating by suggesting intervention targets, including when and who needs intervention.

    “As such, model-based subgrouping like LCA is intended to be hypothesis-generating by suggesting intervention targets, including when and who needs intervention.9”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [9]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

20 of 20
  • The authors state this as an assumption.

    Missing data were missing completely at random.

    “Missing data were handled under the assumption that they were missing completely at random, thus we employed listwise deletion for statistical analyses.”
  • The paper relies on this without support.

    The study sample is representative of the broader population of ACLR patients who are less active post-surgery.

    “Patients less active post-surgery fall into two categories: one hindered by injury-related fear and symptoms, the other by mostly symptoms alone.”
  • The paper relies on this without support.

    Few studies have used latent class analysis to examine biopsychosocial recovery profiles post-ACLR.

    “While few studies have used latent class analysis to examine biopsychosocial recovery profiles post-ACLR”
  • The paper relies on this without support.

    Comprehensive evaluation and integration of biopsychosocial characteristics throughout ACL injury rehabilitation and recovery following ACLR remains a challenge.

    “A remaining challenge is comprehensive evaluation and integration of biopsychosocial characteristics throughout ACL injury rehabilitation and recovery following ACLR.”
4 of 4

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.

  • Postoperative time range conflicts with eligibility criteria

    Major

    The discussion says the analysis included patients 2 to 24 months after ACL reconstruction, but the methods restrict eligibility to 3 to 12 months after surgery.

1 of 1

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Metadata

Authors
Petushek, E., Harkey, M. S., Santiago, K., Stamm, A., Baez, S., Diekfuss, J. A., Myer, G. D., & Kuenze, C.
Affiliations
  • Michigan Technological University (US)
  • Michigan State University (US)
  • University of North Carolina at Chapel Hill (US)
  • Emory University (US)
  • Georgia Institute of Technology (US)
  • University of Virginia (US)
Corresponding author
Petushek, Erich
Venue
Physical Therapy in Sport
Publisher
Elsevier BV
Published
2025-09
Volume
75
Pages
144-150
ISSN
1466-853X (ISSN-L)
OpenAlex
W4413159782
Cited by
5
References
62
Citations by year
2026: 3 · 2025: 2
FWCI
3.50
Type
journal article
Language
en
Open access
Locations
  • Physical Therapy in Sport (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
  • Digital Commons - Michigan Tech (Michigan Technological University) (submittedVersion, cc-by)
Funders
  • US Department of Defense (W81XWH22C0062)
  • National Institutes of Health
  • U.S. Department of Veterans Affairs
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR076153, R61AT012421, R01AR077248, R01AR070474, R01AR055563, U01AR067997)
  • Arthrex
  • Arthritis Foundation
  • Administration for Community Living
Topics
  • Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Foot and Ankle Surgery
Keywords
anterior cruciate ligament reconstruction, return to activity, biopsychosocial factors, anxiety, depression, patient-reported outcomes, hop tests, postoperative recovery, patient subgroups, psychological support
MeSH terms
Return to Sport, Anterior Cruciate Ligament Injuries, Patient Reported Outcome Measures, Latent Class Analysis, Adolescent, Adult, Anxiety, Cross-Sectional Studies, Depression, Fear, Female, Humans, Male, Recovery of Function, Young Adult, Anterior Cruciate Ligament Reconstruction

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