scholarly journals Health-related Quality of Life in Former Division I Collegiate Athletes Compared to Non-Athletes: A 5-Year Follow-up

2020 ◽  
Author(s):  
Janet E. Simon ◽  
Mallory Lorence ◽  
Carrie L. Docherty

Abstract Context: The effect of athletic participation on lifelong health among elite athletes has received increasing attention as sports-related injuries can have a substantial impact on long-term health. Objective: Determine the current health-related quality of life (HRQoL) in former Division I athletes compared with non-collegiate athletes five-years following an initial assessment. Study Design: Prospective cohort Setting: Online survey Participants: For the former Division I athletes, 193 responses were received (response rate, 83.2%, 128 males, 65 females, 58.47±6.17years) and for the non-collegiate athletes, 169 surveys were returned (response rate, 75.1%, 80 males, 89 females; 58.44 ± 7.28years). Interventions: The independent variables were time (baseline, five years post) and group (former Division I athlete and non-collegiate athlete). Main Outcome Measures: Participants completed seven Patient-Reported Outcomes Measurement Information System (PROMIS) scales: sleep, anxiety, depression, fatigue, pain interference, physical function, and satisfaction with participation in social roles. Results: Physical function, depression, fatigue, sleep, and pain were significant for time × group (p<0.05) with the largest differences seen on physical function and pain between groups at time point 2 (22.19 and 13.99 points, respectively). Former Division I athletes had worse scores on physical function, depression, fatigue, and pain between the two points (p<0.05) with the largest differences seen on the depression, physical function, and fatigue scales (8.33, 6.61, and 6.23 points, respectively). Conclusion: Due to the competitive nature of sport, long term risks of diminished HRQoL need to become a priority for healthcare providers and athletes during their athletic career. Additionally, physical activity transition programs need to be explored to help senior student-athletes transition from highly structured and competitive collegiate athletics to lifestyle physical activity as it appears that individuals in the non-collegiate athlete cohort engage in more physical activity, weigh less, and have increased HRQoL.

Author(s):  
Janet E. Simon ◽  
Mallory Lorence ◽  
Carrie L. Docherty

Context The effect of athletic participation on lifelong health among elite athletes has received increasing attention, as sport-related injuries can have a substantial influence on long-term health. Objective To determine the current health-related quality of life (HRQoL) of former National Collegiate Athletic Association Division I athletes compared with noncollegiate athletes 5 years after an initial assessment. Design Cohort study. Setting Online survey. Patients or Other Participants From the former Division I athletes, 193 responses were received (response rate = 83.2%; 128 men, 65 women; age = 58.47 ± 6.17 years), and from the noncollegiate athletes, 169 surveys were returned (response rate = 75.1%; 80 men, 89 women; age = 58.44 ± 7.28 years). Main Outcome Measure(s) The independent variables were time (baseline, 5 years later) and group (former Division I athlete, noncollegiate athlete). Participants completed 7 Patient-Reported Outcomes Measurement Information System scales: sleep disturbance, anxiety, depression, fatigue, pain interference, physical function, and satisfaction with participation in social roles. Results Sleep disturbance, depression, fatigue, pain, and physical function were significant for a time × group interaction (P < .05), with the largest differences seen in pain and physical function between groups at time point 2 (22.19 and 13.99 points, respectively). Former Division I athletes had worse scores for depression, fatigue, pain, and physical function at follow-up (P < .05), with the largest differences seen on the depression, fatigue, and physical function scales (8.33, 6.23, and 6.61 points, respectively). Conclusions Because of the competitive nature of sport, the long-term risks of diminished HRQoL need to become a priority for health care providers and athletes during their athletic careers. Additionally, physical activity transition programs need to be explored to help senior student-athletes transition from highly structured and competitive collegiate athletics to lifestyle physical activity, as it appears that individuals in the noncollegiate athlete cohort engaged in more physical activity, weighed less, and had increased HRQoL.


2018 ◽  
Vol 33 (5) ◽  
pp. 675-682 ◽  
Author(s):  
Traci R. Snedden ◽  
John Scerpella ◽  
Stephanie A. Kliethermes ◽  
Rocío S. Norman ◽  
Liga Blyholder ◽  
...  

Purpose: To examine and compare the role of self-assessed sport and physical activity involvement on the health-related quality of life among undergraduate student-athletes and general undergraduate college students. Design: Cross-sectional survey. Data set was examined for differences in physical and mental health by self-assessed sport and physical activity level. Setting: Large Midwestern University in the fall of 2016. Participants: A combined data set representing undergraduate Division I student athletes (n = 842) and general undergraduate students (n = 1322). Measures: Veterans RAND 12 Item Health Survey (VR-12), as measure of health-related quality of life, comprised of physical component score (PCS) and mental component score (MCS). Self-assessed sport and physical activity level categorized as Division I athlete, club athlete, intramural player, student who works out regularly, or student who is physically inactive. Analysis: Standard univariable statistics described the study population. Two-sample t tests and χ2 tests were conducted, as appropriate, to compare Division I student-athletes to the general undergraduate group. Multivariable linear regression models were then built to assess associations between physical activity level and year in school with VR-12 outcomes, after adjusting for sex. All pairwise interactions were considered for inclusion in the final models. Adjusted least-square means were calculated for all variables in the model; pairwise comparisons were adjusted for multiple comparisons via Tukey-Kramer adjustment criteria. A linear test for trend was also conducted for the association between VR-12 MCS and increasing physical activity. Results: Significant differences in MCS were noted between levels of sport and physical activity; however, such differences were not detected in PCS. After controlling for sex, a positive relationship between increased sport and physical activity level and greater MCS was found. Conclusions: This study represents the first prospective assessment of health-related quality of life among undergraduate athletes and general college students. Higher levels of sport and physical activity were associated with more positive mental health in these populations.


2021 ◽  
Author(s):  
Alessio Bricca ◽  
Madalina Jäger ◽  
Marie Johnston ◽  
Graziella Zangger ◽  
Lasse K. Harris ◽  
...  

Abstract Background To investigate the effect of behavioural interventions targeting lifestyle behaviours on physical activity, weight loss, physical function, health-related quality of life and depression in people with multimorbidity and to investigate which Behaviour Change Techniques (BCTs) are associated with better outcomes.Methods Systematic review of randomised controlled trials targeting lifestyle behaviours in people with multimorbidity following the Cochrane recommendations. Data sources included MEDLINE, EMBASE, CENTRAL and CINAHL up to June 19th, 2020 and screening reference list of Cochrane reviews including people with multimorbidity, ongoing systematic reviews of the MOBILIZE project, the WHO registry and citation tracking of included studies. Meta-analyses using random-effects model to assess the effect of behavioural interventions on physical activity, weight loss, physical function and health-related quality of life and depression. Meta-regression analyses and effectiveness ratios to investigate the impact of pre-specified mediators of effect estimates. Cochrane ‘Risk of Bias Tool’ 2.0 and the GRADE assessment to evaluate the overall quality of evidence.Results Fourteen papers involving 1,378 people. Behavioural interventions had little to no effect on physical activity (standardised mean difference 0.38, 95%CI -0.12 to 0.61 – very low certainty) and the effect on weight loss is uncertain (BMI mean difference -0.17, 95%CI -1.17 to 0.83 – very low certainty) at the end-treatment follow-up (mean duration 23 weeks, SD 15). Small improvements were seen in health-related quality of life (SMD 0.29, 95% CI 0.17 to 0.42 – moderate certainty) and physical function (SMD 0.42, 95% CI 0.12 to 0.73 – low certainty), and moderate improvements were seen for depression symptoms (SMD -0.70, 95%CI -0.98 to -0.42 – moderate certainty). Studies using the BCTs ‘action planning’ and ‘social support (practical)’ reported greater physical activity and weight loss. The effects of behavioural interventions diminished for all the outcomes at long-term follow-ups (mean duration of 36 weeks, SD 15).Conclusions Behavioural interventions targeting lifestyle behaviours improve health-related quality of life and physical function, and reduce depression symptoms, whereas little to no effect was achieved on physical activity and weight loss in people with multimorbidity. However, the evidence for physical activity and weight loss were of low quality and the end-treatment benefits diminished over time.Systematic review protocol Open Science Framework: https://osf.io/r7pm5/


2005 ◽  
Vol 37 (Supplement) ◽  
pp. S174
Author(s):  
Kathleen Y. Wolin ◽  
Graham A. Colditz ◽  
Robert Glynn ◽  
I-Min Lee ◽  
Ichiro Kawachi

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S174
Author(s):  
Kathleen Y. Wolin ◽  
Graham A. Colditz ◽  
Robert Glynn ◽  
I-Min Lee ◽  
Ichiro Kawachi

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