[From global strategy to local consultation: A future vision of physical activity in primary care].

This article reflects on the key role that primary care must play in promoting physical activity as a central tool for health. Despite decades of international strategies, levels of physical inactivity and sedentary behavior continue to rise. The primary care of the future must move beyond generic advice and advance toward effective, personalized, evidence-based prescription with clinical follow-up.

[Prescription of physical activity and physical exercise in primary care: Current situation and implementation challenges].

This article analyzes the current state of physical activity prescription in primary care, identifying structural, professional, and social barriers that hinder its clinical implementation. Although evidence on the benefits of physical exercise in preventing and treating multiple pathologies is strong, its integration into the daily practice of primary care teams remains limited. The article reviews key definitions, international guidelines, factors influencing therapeutic adherence, and clinical cases such as cancer, sarcopenia, and chronic pain.

Impact of a primary care-based mobile health intervention to 'sit less and move more' on HbA1c, blood pressure, and other clinical outcomes in office employees with type 2 diabetes: A randomized controlled trial.

Background: Type 2 diabetes (T2D) is a prevalent and costly disease, with sedentary behaviour and physical inactivity as modifiable contributors. Mobile health (mHealth) applications provide complementary strategies for T2D management, but their impact on clinical outcomes remains unclear.

Objective: This study evaluated the efficacy of an mHealth programme promoting "sit less and move more" at work, prescribed in clinical practice, on clinical and cardiovascular risk factors in office employees with T2D.

[Physical activity in the digital age: Challenges and opportunities for primary care].

Primary Care is undergoing a profound transformation driven by demographic, social, and technological changes. In this context, the integration of physical activity into clinical practice and the development of digital health strategies emerge as key approaches to addressing physical inactivity and sedentary behavior, particularly in situations of chronic conditions, aging, and frailty. This article analyzes how technologies such as mobile applications, wearable devices, and digital platforms can enable more personalized physical activity prescription, remote monitoring, and community connection.

[The digital toolkit as a key resource in Primary Care].

Digital devices, such as the digital toolkit, are transforming primary care by enabling the collection, transcription, and transmission of clinical data in real time. This article explores its applications in primary care, highlighting its impact on improving the quality of care, increasing the problem-solving capacity, and optimizing patient diagnosis and monitoring. It describes use cases in clinical practice, emphasizing benefits such as more personalized and efficient care.

Incorporating sedentary behaviour for identifying risk of type 2 diabetes: Implications for primary care.

Introduction: Type 2 diabetes mellitus (DM2) is one of the main public health threats of the 21st century. Half of the people with DM2 worldwide are not diagnosed. The high prevalence, underdiagnosis and complications of diabetes highlight the need for identifying people at risk.

[Mobile health in primary care. New challenges in the development of solutions to promote physical activity and well-being].

The use of smart devices such as mobile phones (smartphones) or smart watches (smartwatch) to promote physical activity and well-being has increased in recent years among patients and professionals in primary care. This change is driven by the access of patients and professionals to a large catalog of health applications, which can complement the provision of services and promote the empowerment of patients in their own health and lifestyles. These applications are beginning to be integrated with areas such as Artificial Intelligence (AI), the Internet of Medical Things (IoMT) and data storage in the cloud, among other emerging technological systems, offering a new complementary approach to clinical practice known so far.

[Analysis of the interruptions generated by the use of smartphones among Primary Care Health professionals].

Objective: To analyze the particular use of smartphones among Primary Care Health professionals during the care act and its consequences.

Design: Multicenter, cross-sectional study in a primary care setting, carried out in 3phases: survey of professionals, checklist of professionals and survey of patients.

Participants: Primary Care Health professionals from the Territorial Primary Care Management of Barcelona (online survey) and health professionals (checklist) and patients (patient survey) from 2primary care teams in Barcelona city.

Mortality and Quality of Life with Chronic Kidney Disease: A Five-Year Cohort Study with a Sample Initially Receiving Peritoneal Dialysis.

Unlabelled: The quality of life, morbidity and mortality of people receiving renal replacement therapy is affected both by the renal disease itself and its treatment. The therapy that best improves renal function and quality of life is transplantation.

Objectives: To study the quality of life, morbidity and mortality of people receiving renal replacement therapy over a five-year period.

Does Influenza Vaccination Reduce the Risk of Contracting COVID-19?

The concurrent timing of the COVID-19 pandemic and the seasonal occurrence of influenza, makes it especially important to analyze the possible effect of the influenza vaccine on the risk of contracting COVID-19, or in reducing the complications caused by both diseases, especially in vulnerable populations. There is very little scientific information on the possible protective role of the influenza vaccine against the risk of contracting COVID-19, particularly in groups at high-risk of influenza complications. Reducing the risk of contracting COVID-19 in high-risk patients (those with a higher risk of infection, complications, and death) is essential to improve public well-being and to reduce hospital pressure and the collapse of primary health centers.

Effectiveness of a healthcare-based mobile intervention on sedentary patterns, physical activity, mental well-being and clinical and productivity outcomes in office employees with type 2 diabetes: study protocol for a randomized controlled trial.

Background: Prolonged sedentary time is associated with an increased incidence of chronic disease including type 2 diabetes mellitus (DM2). Given that occupational sedentary time contributes significantly to the total amount of daily sedentariness, incorporating programmes to reduce occupational sedentary time in patients with chronic disease would allow for physical, mental and productivity benefits. The aim of this study is to evaluate the short-, medium- and long-term effectiveness of a mHealth programme for sitting less and moving more at work on habitual and occupational sedentary behaviour and physical activity in office staff with DM2.

Modelling the SARS-CoV-2 outbreak: Assessing the usefulness of protective measures to reduce the pandemic at population level.

A new bioinspired computational model was developed for the SARS-CoV-2 pandemic using the available epidemiological information, high-resolution population density data, travel patterns, and the average number of contacts between people. The effectiveness of control measures such as contact reduction measures, closure of communities (lockdown), protective measures (social distancing, face mask wearing, and hand hygiene), and vaccination were modelled to examine possibilities for control of the disease under several protective vaccination levels in the population. Lockdown and contact reduction measures only delay the spread of the virus in the population because it resumes its previous dynamics as soon as the restrictions are lifted.

Modeling of Vaccination and Contact Tracing as Tools to Control the COVID-19 Outbreak in Spain.

We developed an agent-based stochastic model, based on P Systems methodology, to decipher the effects of vaccination and contact tracing on the control of COVID-19 outbreak at population level under different control measures (social distancing, mask wearing and hand hygiene) and epidemiological scenarios. Our findings suggest that without the application of protection social measures, 56.1% of the Spanish population would contract the disease with a mortality of 0.