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      Diferenças Étnicas na Sobrevida entre Medalhistas Olímpicos Brasileiros da Era Moderna de 1920 a 1992: Um Estudo de Coorte Translated title: Ethnic Differences in Survival among Brazilian Modern-era Olympic Medalists from 1920 to 1992: A Cohort Study

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          Abstract

          Resumo Fundamento: As disparidades nos resultados de saúde entre grupos raciais merecem investigação, mesmo em atletas de elite. Portanto, compreender o impacto da raça na sobrevida pós-medalha em atletas olímpicos brasileiros torna-se essencial. Objetivo: Comparar a sobrevida pós-medalha entre medalhistas olímpicos brasileiros brancos e não brancos de 1920 a 1992. Métodos: Utilizamos dados disponíveis publicamente para um estudo de coorte retrospectivo de todos os medalhistas olímpicos brasileiros de 1920 a 1992 (somente homens). Os atletas foram classificados nos grupos brancos e não brancos usando determinação estruturada de etnia. As análises de Kaplan-Meier calcularam o tempo médio de sobrevida restrito (TMSR) para cada grupo étnico. Uma análise de riscos proporcionais de Cox avaliou as diferenças de sobrevida baseadas na etnia, ajustando para a idade da conquista da medalha e ano de nascimento (p<0,05). Resultados: Entre 123 atletas (73,9% brancos), a idade média da conquista de medalhas foi de 25,03 ± 4,8 anos. Durante o estudo, 18,7% dos atletas brancos e 37,5% dos atletas não brancos morreram (p=0,031). Os atletas brancos tiveram média de idade ao óbito de 75,10 ± 18,01 anos, enquanto os atletas não brancos tiveram idade média de 67,13 ± 14,90 anos (p=0,109). O TMSR para atletas brancos foi de 51,59 (IC 95%, 49,79 - 53,39) anos, e para atletas não brancos foi de 45,026 (IC 95%, 41,31 - 48,74) anos, resultando em um ΔTMSR de 6,56 (IC 95%, 2,43 - 10,70; p=0,0018). A análise multivariada mostrou que atletas não brancos apresentavam maior risco de mortalidade do que atletas brancos (RC 5,58; IC 95%, 2,18 - 14,31). Conclusão: Após a primeira medalha, os atletas olímpicos brasileiros brancos normalmente desfrutam de uma expectativa de vida seis anos mais longa do que seus colegas não brancos, ilustrando uma acentuada diferença de mortalidade e disparidades de saúde entre indivíduos saudáveis no Brasil.

          Translated abstract

          Abstract Background: Disparities in health outcomes among racial groups warrant investigation, even among elite athletes. Therefore, understanding the impact of race upon post-medal survival in Brazilian Olympians becomes essential. Objective: To compare post-medal survival between white and non-white Brazilian Olympic medalists from 1920 to 1992. Methods: This study used publicly available data for a retrospective cohort study on all Brazilian Olympic medalists from 1920 to 1992 (males only). Athletes were classified into white and non-white groups using structured ethnicity determination. Kaplan–Meier analyses computed the restricted mean survival time (RMST) for each ethnic group. A Cox proportional hazards analysis assessed ethnicity-based survival differences, adjusting for medal-winning age and birth year (p<0.05) Results: Among 123 athletes (73.9% white), the mean age of medal achievement was 25.03±4.8 years. During the study, 18.7% of white and 37.5% of non-white athletes died (p=0.031). White athletes had a mean age at death of 75.10±18.01 years, while non-white athletes had an age of 67.13±14.90 years (p=0.109). The RMST for white athletes was 51.59 (95% CI 49.79-53.39) years, while for non-white athletes, it was 45.026 (95% CI 41.31-48.74) years, resulting in a ΔRMST of 6.56 (95% CI 2.43-10.70; p=0.0018). Multivariate analysis showed that non-white athletes had a higher mortality risk than did white athletes (HR 5.58; 95% CI, 2.18-14.31). Conclusion: Following their first medal, white Brazilian Olympians typically enjoy a six-year longer lifespan than their non-white counterparts, illustrating a marked mortality gap and health disparities among healthy individuals in Brazil.

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          The Measurement of Observer Agreement for Categorical Data

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            Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases.

            This review provides the reader with the up-to-date evidence-based basis for prescribing exercise as medicine in the treatment of 26 different diseases: psychiatric diseases (depression, anxiety, stress, schizophrenia); neurological diseases (dementia, Parkinson's disease, multiple sclerosis); metabolic diseases (obesity, hyperlipidemia, metabolic syndrome, polycystic ovarian syndrome, type 2 diabetes, type 1 diabetes); cardiovascular diseases (hypertension, coronary heart disease, heart failure, cerebral apoplexy, and claudication intermittent); pulmonary diseases (chronic obstructive pulmonary disease, asthma, cystic fibrosis); musculo-skeletal disorders (osteoarthritis, osteoporosis, back pain, rheumatoid arthritis); and cancer. The effect of exercise therapy on disease pathogenesis and symptoms are given and the possible mechanisms of action are discussed. We have interpreted the scientific literature and for each disease, we provide the reader with our best advice regarding the optimal type and dose for prescription of exercise.
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              Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome

              Background Designs and analyses of clinical trials with a time-to-event outcome almost invariably rely on the hazard ratio to estimate the treatment effect and implicitly, therefore, on the proportional hazards assumption. However, the results of some recent trials indicate that there is no guarantee that the assumption will hold. Here, we describe the use of the restricted mean survival time as a possible alternative tool in the design and analysis of these trials. Methods The restricted mean is a measure of average survival from time 0 to a specified time point, and may be estimated as the area under the survival curve up to that point. We consider the design of such trials according to a wide range of possible survival distributions in the control and research arm(s). The distributions are conveniently defined as piecewise exponential distributions and can be specified through piecewise constant hazards and time-fixed or time-dependent hazard ratios. Such designs can embody proportional or non-proportional hazards of the treatment effect. Results We demonstrate the use of restricted mean survival time and a test of the difference in restricted means as an alternative measure of treatment effect. We support the approach through the results of simulation studies and in real examples from several cancer trials. We illustrate the required sample size under proportional and non-proportional hazards, also the significance level and power of the proposed test. Values are compared with those from the standard approach which utilizes the logrank test. Conclusions We conclude that the hazard ratio cannot be recommended as a general measure of the treatment effect in a randomized controlled trial, nor is it always appropriate when designing a trial. Restricted mean survival time may provide a practical way forward and deserves greater attention.
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                Author and article information

                Journal
                abc
                Arquivos Brasileiros de Cardiologia
                Arq. Bras. Cardiol.
                Sociedade Brasileira de Cardiologia - SBC (São Paulo, SP, Brazil )
                0066-782X
                1678-4170
                2024
                : 121
                : 2
                : e20230524
                Affiliations
                [4] Cleveland Ohio orgnameVascular and Thoracic Institute orgdiv1Department of Cardiovascular Medicine EUA
                [3] Rio de Janeiro Rio de Janeiro orgnameUniversidade do Estado do Rio de Janeiro orgdiv1Faculdade de Ciências Médicas Brazil
                [1] Rio de Janeiro RJ orgnameLaboratório de Performance Humana Brasil
                [2] Rio de Janeiro RJ orgnameCasa de Saúde São José Brasil
                Article
                S0066-782X2024000200304 S0066-782X(24)12100200304
                10.36660/abc.20230524
                6f5880c8-e9a7-491e-ab6b-91ff39e65872

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 28 July 2023
                : 14 November 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 24, Pages: 0
                Product

                SciELO Brazil

                Categories
                Artigo Original

                Epidemiology,Demografia,Sports Medicine,Demography,Medicina esportiva,Epidemiologia

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