• Mashup Score: 0

    Background: Maximal lower-body strength can be assessed both dynamically and isometrically; however, the relationship between the changes in these 2 forms of strength following resistance training is not well understood. Purpose: To systematically review and analyze the effects of resistance training on changes in maximal dynamic (1-repetition-maximum back squat, deadlift, and power clean) and position-matched isometric strength (isometric midthigh pull and the isometric squat). In addition, individual-level data were used to quantify the agreement and relationship between changes in dynamic and isometric strength. Methods: Databases were systematically searched to identify eligible articles, and meta-analysis procedures were performed on the extracted data. The raw results from 4 studies were acquired, enabling bias and absolute reliability measures to be calculated using Bland–Altman test of agreement. Results: Eleven studies met the inclusion criteria, which resulted in 29 isometric

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    • The Relationship Between Isometric and Dynamic Strength Following Resistance Training: A Systematic Review, Meta-Analysis, and Level of Agreement https://t.co/1Z2qwJsCvp via @DocLachJames et al https://t.co/R3c2VqiR4H

  • Mashup Score: 6

    Objective: To investigate the association between physical activity accumulated from early (age 22–27 y) to mid (age 40–45 y) adulthood and resting heart rate at age 41–46 years in women. Methods: Data were from 479 participants in the 1973–1978 cohort of the Australian Longitudinal Study on Women’s Health. Participants reported physical activity every 3 years from age 22–27 years to 40–45 years. Linear regression models were used to investigate the associations of a cumulative physical activity score (average physical activity across 18 y; up to 7 surveys) and changes in physical activity from age 22–33 years to 34–45 years with resting heart rate at age 41–46 years. Results: Average resting heart rate at age 41–46 years was 75 (SD: 11) beats per minute. An inverse nonlinear dose–response association between cumulative physical activity and resting heart rate was observed. Overall, accumulation of physical activity was associated with lower resting heart rate regardless of the age whe

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    • Findings from a new study showed that greater 🏃🏽‍♀️ accumulation of #physicalactivity in 20s was associated with lower resting heart 🫀rate at age 41–46 years. https://t.co/my3rJEDNUx https://t.co/uYIfg0Zc5V

  • Mashup Score: 0

    As smartphone and wearable device ownership increase, interest in their utility to monitor physical activity has risen concurrently. Numerous examples of the application of wearables in clinical and epidemiological research settings already exist. However, whether these devices are all suitable for physical activity surveillance is open for debate. In this commentary, we respond to a commentary by Mair et al. () and discuss four key issues specifically relevant to surveillance that we believe need to be tackled before consumer wearables can be considered for this measurement purpose: representative sampling, representative wear time, validity and reliability, and compatibility between devices. A recurring theme is how to deal with systematic biases by demographic groups. We suggest some potential solutions to the issues of concern such as providing individuals with standardized devices, considering summary metrics of physical activity less prone to wear time biases, and the development

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    • Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity https://t.co/MGsYkRXXUu via @tessastraining et al https://t.co/mtpzp18jMf

  • Mashup Score: 5

    Background: Given the popularity of thigh-worn accelerometers, it is important to understand their reliability and validity. Purpose: Our study evaluated laboratory validity and free-living intermonitor reliability of the Fibion monitor and free-living intermonitor reliability of the activPAL monitor. Free-living comparability of the Fibion and activPAL monitors was also assessed. Methods: Nineteen adult participants wore Fibion monitors on both thighs while performing 11 activities in a laboratory setting. Then, participants wore Fibion and activPAL monitors on both thighs for 3 days during waking hours. Accuracy of the Fibion monitor was determined for recognizing lying/sitting, standing, slow walking, fast walking, jogging, and cycling. For the 3-day free-living wear, outputs from the Fibion monitors were compared, with similar analyses conducted for the activPAL monitors. Finally, free-living comparability of the Fibion and activPAL monitors was determined for nonwear, sitting, sta

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    • RT @fibion: ➣ New #Fibion validation ahead of publication 👍 👉 Check at https://t.co/HwCNvduCtB #sedentarybehavior #physicalactivity #acce…