https://www.selleckchem.com/products/nvp-2.html
CI 0.04-1.25), whereas no change in sedentary time was more likely in the active control condition (BF =0.28; median 0.18; 95% CI 0.01-0.64). Furthermore, Bayesian analysis weakly suggested that the more frequently the users checked the app, the more likely they were to reduce their sedentary behavior (BF =1.49; r=-0.5. Using a smartphone app to collect data on users' mobility patterns and provide real-time feedback using visualizations may be a promising method to induce changes in sedentary behavior and may be more effective than acti
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