Sep 2026· Frontiers in Public Health· Vol 14· 10 references
Health Literacy and Information Accessibility
Abstract
Objective To understand the level of e-health literacy among sports majors and its influencing factors, providing reference for developing measures to improve e-health literacy in this population. Methods An online survey was conducted among college students from 6 universities in Jiangsu Province using an e-health literacy questionnaire. SPSS 26.0 statistical software was used for χ 2 test. t -test, one-way ANOVA, and multiple linear regression analysis were employed to explore the influencing factors of e-health literacy level. Results Among the 923 respondents, 722 (78.2%) were male and 201 (21.8%) were female. The average e-health literacy score was 41.91 ± 6.90, with an adequate rate of 22.2% (205 individuals). Influencing factor analysis showed that ethnicity (95%CI: −3.641 ~ −0.408), gender (95%CI: 1.292 ~ 3.445), self-rated health status compared with peers (95%CI: −1.276 ~ −0.100), use of smart wearable devices (95%CI: 0.100 ~ 0.794), harmony with surrounding people (95%CI: 0.379 ~ 1.733), frequency of searching health knowledge on the Internet (95%CI: 0.246 ~ 1.099), computer proficiency (95%CI: 0.230 ~ 1.569), days waking up feeling energetic in the morning (95%CI: 0.188 ~ 1.207), frequency of consuming fish, poultry, meat and eggs (95%CI: 0.194 ~ 1.331), and types of health knowledge content searched (95%CI: 0.023 ~ 1.556) were significant factors affecting e-health literacy among college students. Conclusion The e-health literacy level of sports majors is relatively low, with associated factors spanning multiple dimensions. Targeted interventions should prioritize male students, those with poorer self-rated health, and those with weaker interpersonal relationships. Strengthening digital skills and active information practice is a key strategy for improving e-health literacy in this population.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.