The Prevalence of Depression and Anxiety Symptoms and Their Association With Respiratory Diseases.

Introduction: Patients with respiratory diseases face adverse situations such as symptom management, general condition deterioration, and a hostile perception of the hospital environment, favoring the appearance of anxiety and depression.

Methods: A total of 317 patients hospitalized for a disease of pulmonary origin were analyzed and divided into the following subgroups: infectious, oncological, acute, and chronic diseases. Patients over 18 years of age with preserved cognitive capacity were included in the study.

Rapid and Efficient Enrichment of Mouse Spinal Cord Microglia.

The vertebral column defines a vertebrate and shapes the spinal canal, a cavity that encloses and safeguards the spinal cord. Proper development and function of the mammalian central nervous system rely significantly on the activity of resident macrophages known as microglia. Microglia display heterogeneity and multifunctionality, enabling distinct gene expression and behavior within the spinal cord and brain.

A Mixed-Methods Systematic Review on Syndemics in Rheumatology.

Objective: We aimed to assess the use of framework and corresponding methodology to document syndemics and its impact in rheumatic and musculoskeletal diseases (RMDs).

Methods: Using a mixed-methods systematic review, studies using the syndemic framework approach for RMDs were identified and published from January 2003 to January 2021. The Joanna Briggs Institute, Cochrane Collaboration, and PRISMA guidelines were followed to search, retrieve, revise, and analyze.

Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model.

The perception of risk has been a key element in the experiences, containment and differential impact of the COVID-19 pandemic worldwide. The complexity of this phenomenon requires the interdisciplinary integration of theoretical and methodological aspects, as this integration informs the objective of developing a mathematical proposal based on a conceptual model located within the social theory of risk at the micro-social level. The mathematical risk model used here was developed from a secondary analysis of a study of 12,649 individuals on the experiences of the COVID-19 pandemic in a population in which the quantity and quality of the information made it possible to define a risk factor and its relationship to emotions and the sources of information used.