Introduction: Bronchiectasis is a chronic lung disease that may be associated with anxiety-depressive disorders affecting the quality of life of patients. Detecting these anxiety-depressive disorders may be necessary in the support and overall management of a patient with bronchiectasis.
Aims: To evaluate the prevalence of anxiety and depression in patients with bronchiectasis and to investigate the possible correlation between the severity of the disease and the importance of these psychological disorders.
Patients And Methods: This was a prospective study that included 53 patients with stable bronchiectasis and without other comorbidities. All the patients underwent a complete clinical examination, spirometry and chest computed tomography. All the 53 patients responded to the Hospital Anxiety and Depression Scale (HAD) questionnaire.
Results: Anxiety was present in 22.7% of patients and depression in 20.8%. Subjects who had an anxiety disorder had symptoms primarily of dyspnoea (P=0.001), a low FEV (P=0.04) and respiratory failure at a stage requiring home oxygen therapy (P=0.009). A similar comparison of patients with and without depressive disorder again found a high prevalence of dyspnea (P=0.003), a low FEV (P=0.04), and chronic respiratory failure in the depressive patients.
Conclusion: Symptoms of depression and anxiety are common in patients with bronchiectasis and appear to be associated with dyspnoea. Early detection is necessary in the context of the overall management of these patients.
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http://dx.doi.org/10.1016/j.rmr.2013.04.028 | DOI Listing |
AIDS Care
January 2025
Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Violence experience, interpersonal and community-level, is commonly reported by people living with HIV (PLWH). Understanding the impact of the various forms of violence on HIV outcomes is critical for prioritizing violence screening and support resources in care settings. From February 2021 to December 2022, among 285 PLWH purposively sampled to attain diversity by gender, race/ethnicity, and HIV care retention status in Atlanta, Georgia, we examined interpersonal and community violence experiences and proxy measures of violence (post-traumatic stress disorder (PTSD), anxiety, depression) and their associations with HIV outcomes (engagement and retention in care and HIV viral suppression) using multivariable analysis.
View Article and Find Full Text PDFSports Health
January 2025
Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.
Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.
Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
JMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
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