Background: In the coronavirus infection, it is important to consider the neuropsychiatric implications; preliminary studies of this new pandemic suggest that patients with COVID-19 may experience depression and anxiety. In that way, family functionality is a determining factor in health preservation of patients with mental disorders and COVID-19. Objective: To determine the family functionality and its relationship with depression and anxiety in recovered COVID-19 patients in a primary care center of Tijuana, Mexico. Methods: A review of clinical records of patients with COVID-19 was carried out at the Family Medicine Unit #27 in Tijuana, Mexico, from July to December 2020. A descriptive cross-sectional study was implemented to know the frequency of depression, anxiety and family functionality in recovered COVID-19 patients. Symptoms of depression were assessed with the Trait Depression Inventory – IDERE. Anxiety was measurement with Spielberger's Trait Anxiety Inventory. Family functionality was determined with family APGAR. Quantitative variables were described as median and interquartile range (IQR), and qualitative variables were expressed as frequency and percentage. The assumption of normality was made by the Kolmogorov-Smirnov test. The Chisquared test was used to analyze differences in categorical variables, and the Odds ratio was used to calculate risk. Results: 560 patients were studied, of which 179 met the selection criteria and 151 entered the study. 54.31% of patients have moderate to severe symptoms of depression, 80.13% moderate to severe symptoms of anxiety and 18.54% alteration in family functionality. Conclusions: COVID-19 is a public health problem that affects multiple dimensions with significant repercussions. It is necessary to apply an early biopsychosocial approach to treat these alterations and avoid their chronicity in order to improve quality life of these patients.
Background: COVID-19 is caused by a new Coronavirus, which causes severe acute respiratory syndrome (SARS). The most at-risk population is those over 75 years and with pathologies such as obesity, diabetes mellitus, arterial hypertension, smoking, cardiovascular diseases and asthma, this condition increases the risk of death up to five times. Objective: To describe the clinical characteristics of patients with COVID-19 in the Family Medicine Unit #27 of Tijuana, Mexico. Methods: A review of the database of epidemiological studies of the FMU 27 was carried out between April to June 2020. The clinical characteristics recollected were: age, fever, cough, headache, dyspnea, arthralgia, myalgia, odynophagia, rhinorrhea, conjunctivitis, chest pain, hypertension, diabetes mellitus, obesity, smoking, Chronic Obstructive Pulmonary Disease (COPD), Asthma and chronic kidney failure. Descriptive statistics were used, the qualitative variables were expressed in frequencies and percentages, and the quantitative variables in measures of central tendency and dispersion, the information obtained was analyzed in the statistical program SPSS version 25. Results: 111 patients were analyzed, the following clinical characteristics were found: headache 102 (91.9%), fever 97 (87.4%), myalgia 93 (83.8%) and cough 90 (80.1%). The most frequent comorbidity was obesity (24.3%). Conclusions: It is important to know all the COVID-19 clinical characteristics. The knowledge of this characteristics allows us identify the disease and complications early.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.