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. 2022 Dec 7;57(3):166-171.
doi: 10.1136/bjsports-2022-106021. Online ahead of print.

Healthspan and chronic disease burden among young adult and middle-aged male former American-style professional football players

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Healthspan and chronic disease burden among young adult and middle-aged male former American-style professional football players

Rachel Grashow et al. Br J Sports Med. .

Abstract

Objective: To examine the relationships between age, healthspan and chronic illness among former professional American-style football (ASF) players.

Methods: We compared age-specific race-standardised and body mass index-standardised prevalence ratios of arthritis, dementia/Alzheimer's disease, hypertension and diabetes among early adult and middle-aged (range 25-59 years) male former professional ASF players (n=2864) with a comparator cohort from the National Health and Nutrition Examination Survey and National Health Interview Survey, two representative samples of the US general population. Age was stratified into 25-29, 30-39, 40-49 and 50-59 years.

Results: Arthritis and dementia/Alzheimer's disease were more prevalent among ASF players across all study age ranges (all p<0.001). In contrast, hypertension and diabetes were more prevalent among ASF players in the youngest age stratum only (p<0.001 and p<0.01, respectively). ASF players were less likely to demonstrate intact healthspan (ie, absence of chronic disease) than the general population across all age ranges.

Conclusion: These data suggest the emergence of a maladaptive early ageing phenotype among former professional ASF players characterised by premature burden of chronic disease and reduced healthspan. Additional study is needed to investigate these findings and their impact on morbidity and mortality in former ASF players and other athlete groups.

Keywords: cardiovascular diseases; chronic; football; osteoarthritis.

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Conflict of interest statement

Competing interests: The Football Players Health Study is supported by the NFL Players Association. The NFL Players Association did not contribute to the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication. This work received support from Harvard Catalyst | The Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, National Institutes of Health Award UL1 TR002541) and financial contributions from Harvard University and its affiliated academic healthcare centers. The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic healthcare centers, or the National Institutes of Health. The authors wish to acknowledge the study participants, advisors and staff of the Football Players Health Study for their time and effort.

Figures

Figure 1
Figure 1
Race-adjusted and BMI-adjusted prevalence estimates for each chronic condition in former professional American-style football players versus the general population. (A) Arthritis (Football Players Health Study (FPHS) and National Health and Nutrition Examination Survey (NHANES)); (B) Dementia/Alzheimer’s disease (FPHS and National Health Interview Survey (NHIS)); (C) Hypertension/High Blood Pressure (FPHS and NHANES and (D) Diabetes Mellitus (FPHS and NHANES). Signficance values have been adjusted using the Bonferonni correction for multiple comparisons. **p<0.0013; ***p<0.00013 after multiple comparisons correction. aAxes for B, C have been expanded for visibility. BMI, body mass index.
Figure 2
Figure 2
Race-adjusted and BMI-adjusted prevalence estimates for intact healthspan status for the Football Players Health Study (FPHS) and National Health Interview Survey (NHIS). Signficance values have been adjusted using the Bonferonni correction for multiple comparisons. ***p<0.00013 after multiple comparisons correction. BMI, body mass index.
Figure 3
Figure 3
Race-adjusted and BMI-adjusted prevalence estimates for intact healthspan status among Football Player Health Study participants stratified by lineman position status. Signficance values have been adjusted using the Bonferonni correction for multiple comparisons. ***p<0.00013 after multiple comparisons correction. BMI, body mass index.

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References

    1. Kuan V, Fraser HC, Hingorani M, et al. . Data-Driven identification of ageing-related diseases from electronic health records. Sci Rep 2021;11:2938. 10.1038/s41598-021-82459-y - DOI - PMC - PubMed
    1. Lloyd-Jones DM, Leip EP, Larson MG, et al. . Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age. Circulation 2006;113:791–8. 10.1161/CIRCULATIONAHA.105.548206 - DOI - PubMed
    1. van der Flier WM, Scheltens P. Epidemiology and risk factors of dementia. J Neurol Neurosurg Psychiatry 2005;76 Suppl 5:v2–7. 10.1136/jnnp.2005.082867 - DOI - PMC - PubMed
    1. Lawrence RC, Felson DT, Helmick CG, et al. . Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum 2008;58:26–35. 10.1002/art.23176 - DOI - PMC - PubMed
    1. Kennedy BK, Berger SL, Brunet A, et al. . Geroscience: linking aging to chronic disease. Cell 2014;159:709–13. 10.1016/j.cell.2014.10.039 - DOI - PMC - PubMed

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