scholarly journals A History of Previous Severe Injury and Health-Related Quality of Life Among Former Collegiate Athletes

2019 ◽  
Vol 54 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Katlyn Cowee ◽  
Janet E. Simon
Keyword(s):  
Quality Of Life ◽  
Collegiate Athletes ◽  
Severe Injury ◽  
Health Related Quality ◽  
Severe Injuries ◽  
The Us ◽  
Related Quality ◽  
Health Related ◽  
History Of

ContextEmpirical evidence supports the idea that previous severe injuries in former collegiate athletes may adversely affect their ability to participate in daily activities later in life, which may then decrease their health-related quality of life (HRQOL).ObjectiveTo assess the influences of previous severe injuries on the HRQOL of former National Collegiate Athletic Association (NCAA) athletes.DesignCross-sectional study.SettingOnline survey.Patients or Other ParticipantsA total of 171 former NCAA collegiate athletes (69 men, 102 women; age = 29.7 ± 3.9 years, height = 171.5 ± 10.4 cm, mass = 76.4 ± 12.9 kg) participated. All individuals completed a demographics questionnaire and the Short Form-36 version 2 (SF-36v2) Health Survey via Qualtrics.Main Outcome Measure(s)The dependent variables were the physical composite and mental composite summary scores and the 8 subscales of the SF-36v2. The independent variable was the presence of previous severe injury (history of a severe injury or no history of a severe injury during collegiate athletics). Two multivariate analyses of variance were conducted. The first multivariate analysis of variance was conducted for the 8 SF-36v2 subscales and the second for the 2 summary scores.ResultsFor the summary scores and all 8 SF-36v2 subscales, the responses were worse for the 103 former collegiate athletes who sustained a previous severe injury compared with the 68 who did not sustain a severe injury. The largest difference between groups was for the physical composite score, with a mean difference of 15.8 points (1.5 standard deviations worse than the US population); the physical functioning subscale demonstrated a mean difference of 12.9 points (1.3 standard deviations worse than the US population).ConclusionsA majority of the athletes in our sample had experienced a severe injury. Based on these data, previous severe injuries had a negative influence on the HRQOL of former NCAA collegiate athletes.

scholarly journals Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

2016 ◽  
Vol 51 (6) ◽  
pp. 442-453 ◽  
Author(s):  
Megan N. Houston ◽  
Matthew C. Hoch ◽  
Johanna M. Hoch
Keyword(s):  
Quality Of Life ◽  
Confidence Interval ◽  
Random Effects ◽  
Meta Analysis ◽  
Collegiate Athletes ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
History Of

Context: Assessment of health-related quality of life (HRQOL) after injury is important. Differences in HRQOL between nonathletes and athletes and between injured and uninjured athletes have been demonstrated; however, the evidence has not been synthesized. Objective: To answer the following questions: (1) Does HRQOL differ among adolescent and collegiate athletes and nonathletes? (2) Does HRQOL differ between injured adolescent and collegiate athletes or between athletes with a history of injury and uninjured athletes or those without a history of injury? Data Sources: We systematically searched CINAHL, MEDLINE, SPORTDiscus, and PubMed. A hand search of references was also conducted. Study Selection: Studies were included if they used generic instruments to compare HRQOL outcomes between athletes and nonathletes and between uninjured and injured athletes. Studies were excluded if they did not use a generic instrument, pertained to instrument development, or included retired athletes or athletes with a chronic disease. Data Extraction: We assessed study quality using the modified Downs and Black Index Tool. Bias-corrected Hedges g effect sizes and 95% confidence intervals (CIs) were calculated. The Strength of Recommendation Taxonomy (SORT) was used to determine the overall strength of the recommendation. A random-effects meta-analysis was performed for all studies using the composite or total score. Data Synthesis: Eight studies with modified Downs and Black scores ranging from 70.6% to 88.4% were included. For question 1, the overall random-effects meta-analysis was weak (effect size = 0.27, 95% confidence interval = 0.14, 0.40; P < .001). For question 2, the overall random-effects meta-analysis was moderate (effect size = 0.68, 95% confidence interval = 0.42, 0.95; P < .001). Conclusions: Grade A evidence indicates that athletes reported better HRQOL than nonathletes and that uninjured athletes reported better HRQOL than injured athletes. However, the overall effect for question 1 was weak, suggesting that the differences between athletes and nonathletes may not be clinically meaningful. Clinicians should monitor HRQOL after injury to ensure that all dimensions of health are appropriately treated.

scholarly journals Optimal nocturnal sleep duration to maintain health-related quality of life in male collegiate athletes: a cross-sectional study

2021 ◽  
Author(s):  
Yuko Morita ◽  
Taeko Sasai-Sakuma
Keyword(s):  
Quality Of Life ◽  
Sleep Duration ◽  
Collegiate Athletes ◽  
Good Health ◽  
Health Related Quality ◽  
Sleep Habits ◽  
Nocturnal Sleep ◽  
Related Quality ◽  
Health Related

Abstract Background: This study investigated the optimal nocturnal sleep duration required by collegiate athletes to maintain physical and mental health, compared with non-athlete students. Methods: In this cross-sectional study, a questionnaire survey was conducted to assess demographic variables, lifestyle and sleep habits, and health-related quality of life in 298 collegiate students (non-athletes, n = 158; athletes, n = 140). Physical component summary and mental component summary were assessed by using a Short-Form 8 Health survey, and participants with good physical as well as mental component summary scores were considered to have a good health-related quality of life. To confirm an association between nocturnal sleep length and good health-related quality of life, logistic regression analyses were conducted in non-athlete students and collegiate athletes separately. Subsequently, receiver operating characteristics curve analyses were performed for detection of the cut-off points for nocturnal sleep duration sufficient to maintain good health-related quality of life in both collegiate athletes and non-athlete students. Results: The average nocturnal sleep duration was 7 hours 4 minutes among collegiate athletes, and 75.7% of them had a worse physical component summary. The cut-off point for nocturnal sleep duration in collegiate athletes was 7.98 hours (area under the curve: 0.69, P = 0.013, sensitivity: 85.5%, specificity: 56.2%), which was longer than the cut-off of 6.58 hours for non-athlete students. Conclusion: Collegiate athletes required longer nocturnal sleep than non-athlete students. Nevertheless, their habitual nocturnal sleep duration was shorter compared to their optimal duration; around 80% of them faced chronic insufficient sleep. Improving sleep habits and sleep education is important in maintaining their good health-related quality of life.

Fear-Avoidance Beliefs and Health-Related Quality of Life in Post-ACL Reconstruction and Healthy Athletes: A Case–Control Study

2020 ◽  
Vol 29 (6) ◽  
pp. 772-776 ◽  
Author(s):  
Johanna M. Hoch ◽  
Megan N. Houston ◽  
Shelby E. Baez ◽  
Matthew C. Hoch
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
College Athletes ◽  
Health Related Quality ◽  
Fear Avoidance ◽  
Fear Avoidance Beliefs ◽  
Related Quality ◽  
Health Related ◽  
History Of

Context: Many athletes return to sport after anterior cruciate ligament reconstruction (ACLR) with lingering physical or mental health impairments. Examining health-related quality of life (HRQL) and fear-avoidance beliefs across the spectrum of noninjured athletes and athletes with a history of ACLR may provide further insight into targeted therapies warranted for this population. Objective: The purpose of this study was to examine differences in fear-avoidance beliefs and HRQL in college athletes with a history of ACLR not participating in sport (ACLR-NPS), participating in sport (ACLR-PS), and healthy controls (Control) with no history of injury participating in sport. Design: Cross-sectional. Setting: Laboratory. Patients (or Other Participants): A total of 10 college athletes per group (ACLR-NPS, ACLR-PS, and Control) were included. Participants were included if on a roster of a Division I or III athletic team during data collection. Interventions: Participants completed a demographic survey, the modified Disablement in the Physically Active Scale (mDPA) to assess HRQL, and Fear-Avoidance Beliefs Questionnaire (FABQ) to assess fear-avoidance beliefs. Main Outcome Measures: Scores on the mDPA (Physical and Mental) and FABQ subscales (Sport and Physical Activity) were calculated, a 1-way Kruskal–Wallis test and separate Mann–Whitney U post hoc tests were performed (P < .05). Results: ACLR-NPS (30.00 [26.00]) had higher FABQ-Sport scores than ACLR-PS (18.00 [26.00]; P < .001) and Controls (0.00 [2.50]; P < .001). ACLR-NPS (21.50 [6.25]) had higher FABQ-Physical Activity scores than ACLR-PS (12.50 [13.00]; P = .001) and Controls (0.00 [1.00]; P < .001). Interestingly, ACLR-PS scores for FABQ-Sport (P = .01) and FABQ-Physical Activity (P = .04) were elevated compared with Controls. ACLR-NPS had higher scores on the mDPA-Physical compared with the ACLR-PS (P < .001) and Controls (P < .001), and mDPA-Mental compared with ACLR-PS (P = .01), indicating decreased HRQL. Conclusions: The ACLR-NPS had greater fear-avoidance beliefs and lower HRQL compared with ACLR-PS and Controls. However, the ACLR-PS had higher scores for both FABQ subscales compared with Controls. These findings support the need for additional psychosocial therapies to address fear-avoidance beliefs in the returned to sport population.

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