Background: Despite the benefits of physical activity for improving cancer-related outcomes, the majority of patients with cancer fail to meet physical activity guidelines. Mobile phone messaging is a scalable approach for promoting physical activity, but its effect on improving physical activity among cancer patients has not been reviewed. Objective: To systematically evaluate the effects of mobile phone messaging-based interventions in promoting physical activity among patients with cancer. Methods: A systematic search in eight English and Chinese databases (PubMed, EMBASE, Web of Science, MEDLINE, the Cochrane Library, Scopus, Wanfang and China National Knowledge Infrastructure) was performed. Randomised controlled trials that examined the effect of mobile phone messaging-based interventions on improving physical activity among cancer patients were included. Potential sources of substantial heterogeneity were investigated by subgroup analysis based on participants’ characteristics, mobile phone messaging regimens and physical activity estimates. Random effects models were used to estimate the overall effect size. Risk of bias was assessed by two independent reviewers using the revised Cochrane Collaboration’s risk of bias tool. Sensitivity analyses were performed through leave-one-out analyses, removal of outliers, and inclusion of only studies with low or some risk of bias. Potential publication bias was explored. Results: Thirteen studies involving 777 individuals were included in this review. At post-intervention, mobile phone messaging-based interventions significantly improved objective PA with a small effect size (SMD=0.37, 95% CI: 0.10 to 0.64, P = 0.007, I2=0%), but not self-reported PA (SMD=0.20, 95% CI: -0.07 to 0.47, P = 0.15, I2=56%) or step count (SMD=0.27, 95% CI: -0.19 to 0.73, P = 0.25, I2=69%). Interventions that adopted more behaviour change techniques and targeted patients who have completed active cancer treatment significantly improved step count. At follow-up, the effect of mobile phone messaging on self-reported physical activity, objective physical activity, and step count was found to be insignificant. Nine studies showed low or some risk of bias. Sensitivity analyses and trim-and-fill tests confirmed relatively stable effects of mobile phone messaging. No potential publication bias was identified. Conclusions: Mobile phone messaging-based interventions show promise as a scalable intervention to modestly improve objective PA in cancer patients, though effects vary, with limited impact on self-reported PA or step count. Evidence for sustained long-term benefit remains limited, highlighting the need for rigorously designed trials with extended follow-up. Clinical Trial: PROSPERO CRD42024557519; crd.york.ac.uk/PROSPERO/view/CRD42024557519
It’s About Time: The Temporal and Modal Dynamics of Copilot Usage
arXiv:2512.11879v1 Announce Type: cross Abstract: We analyze 37.5 million deidentified conversations with Microsoft’s Copilot between January and September 2025. Unlike prior analyses of AI usage,




