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      Sex differences in the acute effect of stair-climbing on postprandial blood glucose levels: A randomized controlled trial

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          Backgrounds and aims

          Single, short stair climbing and descending (SCD) bouts of low to moderate intensity effectively lower postprandial blood glucose but previous reports have found conflicting results on interactions by sex during exercise. We hypothesize that SCD at a self-selected intensity will be equally effective at lowering postprandial blood glucose in males and females. Methods and Results: Thirty subjects (age: 23.8 (3.0) years) performed 0, 1, 3, and 10 min of SCD following consumption of a mixed meal. SCD was performed at a self-selected comfortable pace and all bouts ended at minute 28. Postprandial blood glucose was measured every 15 min for 1 h and analyzed as glucose over time, area under the curve (AUC), and incremental AUC (iAUC) using mixed-design ANOVAs with repeated measures. Although there was no interaction between sex and condition or time (p = .129 to .541) for glucose over time, AUC, or iAUC, there was a main effect for sex for glucose over time (p = .004) and AUC (p = .006), but not iAUC (p = .125). Females had higher blood glucose throughout each trial (22% (13 to 31%), p = .004) but both males' and females’ postprandial blood glucose was lowered following 10 min of SCD relative to the seated control condition. Conclusions: Males and females benefited equally from single, short SCD bouts of low to moderate intensity despite females having higher blood glucose at all time points. Previous findings of sex differences in the attenuating effect of exercise on postprandial blood glucose are likely due to the use of absolute workloads leading to varying relative intensities.

          Highlights

          • SCD at a self-selected, comfortable pace for 3 min reduced postmeal blood glucose.

          • Men and women benefit equally from SCD postprandial glucose attenuations.

          • Previous sex differences were likely due to unequal relative intensity of exercise.

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          Most cited references27

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants

            Insufficient physical activity is a leading risk factor for non-communicable diseases, and has a negative effect on mental health and quality of life. We describe levels of insufficient physical activity across countries, and estimate global and regional trends.
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              2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2021

              (2020)
              The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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                Author and article information

                Contributors
                Journal
                Metabol Open
                Metabol Open
                Metabolism Open
                Elsevier
                2589-9368
                14 July 2022
                September 2022
                14 July 2022
                : 15
                : 100200
                Affiliations
                [a ]School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, 92182, USA
                [b ]The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
                Author notes
                []Corresponding author. School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, 92182, USA. Jmoore714@ 123456gmail.com
                Article
                S2589-9368(22)00038-X 100200
                10.1016/j.metop.2022.100200
                9309661
                0976455d-a786-4f09-ac9d-163f82b3d420
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 15 June 2022
                : 9 July 2022
                : 10 July 2022
                Categories
                Original Research Paper

                carbohydrate tolerance,sex differences,exercise,glucose,postprandial

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