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      Physical Fitness and Inflammatory Bowel Disease Risk Among Children and Adolescents in Taiwan

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          Abstract

          Importance

          The incidence of inflammatory bowel disease (IBD) is increasing in newly industrialized countries but disease etiologies remain unclear.

          Objective

          To investigate the association between physical fitness and subsequent IBD risk among children and adolescents in Taiwan.

          Design, Setting, and Participants

          This nationwide cohort study was conducted between January 1, 2010, and December 31, 2018. Data sources included the Taiwan National Health Insurance Research Database, the National Student Fitness Tests Database, and the Air Quality Monitoring System Database. This study included students who were aged 10 years, completed physical fitness tests between grades 4 and 13, and had at least 1 year of follow-up. Data analysis was last performed on January 15, 2023.

          Exposures

          Physical fitness tests included cardiorespiratory endurance (CE; number of minutes to complete an 800-m run), musculoskeletal endurance (ME; number of bent-leg curl-ups in 1 minute), musculoskeletal power (MP; standing broad jump distance), and flexibility fitness (FF; 2-leg sit-and-reach distance).

          Main Outcomes and Measures

          Subsequent risk of IBD was compared among students based on physical fitness test results. Six-year cumulative incidences and hazard ratios (HRs) were calculated after adjusting for competing mortality. Performance was reported in quantiles, ranging from 1 (best) to 4 (poorest).

          Results

          There were 4 552 866 students who completed physical fitness tests between grades 4 and 13; among these students, 1 393 641 were aged 10 years and were included in the analysis. Six-year cumulative incidence of IBD risk was lowest among students in the best-performing quantile of CE (quantile 1, 0.74% [95% CI, 0.63%-0.86%]; P < .001), ME (0.77% [0.65%-0.90%]; P < .001), and MP (0.81% [0.68%-0.93%]; P = .005) compared with students in quantiles 2 through 4, respectively; however, no association was observed for quantiles of FF. After adjusting for competing HRs for mortality and other confounders, better CE was inversely associated with IBD risk (adjusted HR, 0.36 [95% CI, 0.17-0.75]; P = .007). Other measures of physical fitness were not independently associated with IBD risk.

          Conclusions and Relevance

          The results of this study suggest that CE was inversely associated with IBD risk among children and adolescents, but ME, MP, and FF were not independently associated with IBD risk. Future studies that explore the mechanisms are needed.

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          Most cited references47

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          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
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            Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies.

            Inflammatory bowel disease is a global disease in the 21st century. We aimed to assess the changing incidence and prevalence of inflammatory bowel disease around the world.
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              Sensitivity Analysis in Observational Research: Introducing the E-Value.

              Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to confounding. The E-value is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates. A large E-value implies that considerable unmeasured confounding would be needed to explain away an effect estimate. A small E-value implies little unmeasured confounding would be needed to explain away an effect estimate. The authors propose that in all observational studies intended to produce evidence for causality, the E-value be reported or some other sensitivity analysis be used. They suggest calculating the E-value for both the observed association estimate (after adjustments for measured confounders) and the limit of the confidence interval closest to the null. If this were to become standard practice, the ability of the scientific community to assess evidence from observational studies would improve considerably, and ultimately, science would be strengthened.
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                Author and article information

                Journal
                JAMA Pediatrics
                JAMA Pediatr
                American Medical Association (AMA)
                2168-6203
                May 01 2023
                Affiliations
                [1 ]Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan
                [2 ]Health Innovation Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
                [3 ]Microbiota Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
                [4 ]Division of Translational Research, Taipei Veterans General Hospital, Taipei, Taiwan
                [5 ]Institute of Public Health, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
                [6 ]Department of Recreation and Sport Management, Shu-Te University, Kaohsiung, Taiwan
                [7 ]Center for Physical and Health Education, National Sun Yat-sen University, Kaohsiung, Taiwan
                [8 ]Department of Economics, National Cheng Kung University, Tainan, Taiwan
                [9 ]Faculty of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
                [10 ]Department of Dermatology, Taipei Veterans General Hospital, Taipei, Taiwan
                [11 ]Division of Gastroenterology and Hepatology, E-Da Hospital, Kaohsiung, Taiwan
                [12 ]School of Medicine, I-Shou University, Kaohsiung, Taiwan
                [13 ]Department of Dermatology, Taichung Veterans General Hospital, Taichung, Taiwan
                [14 ]Department of Post Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan
                [15 ]Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
                [16 ]Microbiota I-Center, Hong Kong, China
                [17 ]State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China
                Article
                10.1001/jamapediatrics.2023.0929
                37126317
                6931c832-54f8-4fa7-ab01-69bf00fdfa38
                © 2023
                History

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