7 research outputs found

    Impact of sports participation on incidence of bone traumatic fractures and health care costs among adolescents: ABCD – Growth Study

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    This is the author accepted manuscript. The final version is available from Taylor & Francis.Objective: To analyze the risk of bone traumatic fractures according to the engagement in sports, as well as to identify the potential impact of sports participation and traumatic fractures on health care costs among adolescents. Methods: This is a longitudinal 12-months follow-up study of 285 adolescents of both sexes in Brazil. We assessed the occurrence of traumatic fractures and health care services (hospitalizations, medicine use, medical consultations and exams) by phone contact every single month for 12 months. Adolescents were divided into four groups according to sport characteristics: non-sport (n= 104), non-impact sport (swimming [n= 34]), martial arts (n= 49 [judo, karate, kung-Fu]) and impact sports (n= 98 [track-and-field, basketball, gymnastics, tennis, and baseball]). Results: The incidence of new fractures was 2.1%. The overall costs accounted during the 12-month follow-up were U3,259.66.Swimmers(US 3,259.66. Swimmers (US 13.86) had higher health care costs than non-sport (US1.82),martialarts(US 1.82), martial arts (US 2.23) and impact sports (US$ 2.32). Conclusion: swimming seems to be related to higher health care costs among adolescents

    Relationship between vigorous physical activity and health care costs among adolescents: ABCD Growth Study

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    Availability of data and materials: The data collected and analyzed during this study are stored by the authors upon authorization by the leader of the Laboratory of InVestigation in Exercise (LIVE) which involves the ABCD Growth Study.Copyright © The Author(s) 2022. Background: The relationship between physical activity and health care costs among adolescents is not yet clear in the literature. Objective: To analyze the relationship between physical activity and annual health care costs among adolescents. Methods: The present sample was composed of 85 adolescents of both sexes with ages ranging from 11 to 18 years (mean age 15.6 ± 2.1). Health care costs were self‐reported every month for 12 months, and information on health care values was verified with local pharmacies, private health care plans, and the National Health Service. The time spent in different physical activity intensities was objectively measured by accelerometers. Confounding variables were: sex, age, somatic maturation, body fatness, blood pressure, and components of dyslipidemia and insulin resist‐ ance. Multivariate models were generated using generalized linear models with gamma distribution and a log‐link function. Results: The overall annual health care cost was US733.60/R 733.60/ R 2,342.38 (medication: US400.46/R 400.46 / R 1,278.66; primary and secondary care: US333.14/R 333.14 / R 1,063.70). The time spent in vigorous physical activity (minutes/day) was negatively related to health care costs (r = ‐0.342 [95% CI: ‐0.537,—0.139]; ÎČ = ‐0.06 cents (95% CI: ‐0.089, ‐0.031). Conclusion: Vigorous physical activity seems to be associated with lower health care costs among adolescents.CNPq (Conselho Nacional de Desenvolvimento CientĂ­fico e TecnolĂłgico); CAPES (Coordenação de Aperfeiçoamento de Pessoal de NĂ­vel Superior - Brasil - Finance Code 001); SĂŁo Paulo Research Foundation (FAPESP RAF (Process: 2018/22593-7); WT (Process: 2018/09131-4))

    Relationship between lifestyle and costs related to medicine use in adults

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    Background: The unhealthy lifestyle is growing and this can have repercussions on health status demanding actions on the occurrence of diseases and leads to increased expenses. Objective: To examine the interrelationship between the costs of medicine use and lifestyle behaviors. Methods: A cohort study with 118 participants, age around 51.7 ± 7.1 years old. It was collected personal and anthropometric data and information about medicine of continuous use to calculate the costs. Lifestyle variables included habitual physical activity (PA) assessed by pedometer, sedentary behavior by Baecke questionnaire, sleep quality by mini sleep questionnaire and self-report of smoke and alcohol consumption. Statistical analyses were performed by BioEstat (version 5.2) and the significance level set at p-value < 0.05. Results: In 12 months, 62 subjects bought 172 medicines, representing an overall cost of US$ 3,087.01. Expenditures with drugs were negatively related to PA (r = -0.194, p-value = 0.035 and r = -0.281, p-value = 0.002), but positively related with sleep quality (r = 0.299, p-value=0.001 and r = 0.315, p-value = 0.001) and age (r = 0.274, p-value = 0.003). Four multivariate models were executed considering lifestyle behaviors in different moments of cohort and medicine costs, and all these models identify important relationship between lifestyle behaviors with expenditures with drugs. Conclusion: Worse sleep quality seems to increase the costs related to medicine use in adults, while obesity and ageing play a relevant role in this phenomenon and alcohol consumption seems a variable with relevant economic impact
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