Background: Due to multiple chronic illness and disability, the elderly consume a disproportionately large share of medications.
Objectives: To assess the patterns and determinants of drug use among the community dwelling old-old population.
Methods: The study population included 1,369 old-old persons from the baseline data of the Cross-Sectional and Longitudinal Aging Study (CALAS), which is based on a national random stratified sample of the Israeli Jewish population aged 75-94 years.
Results: The mean number of drugs used by the study population was 3.3, and only 12.5% did not consume any drugs, Multivariate linear regression analysis showed that women used significantly more drugs than men, and that those born in Europe took significantly more drugs than those born in Israel and Asia-Africa. The number of medical conditions was the strongest predictor of drug use. Hospitalizations during the last year and frequent visits to family physician were also significant factors related to drug use. All variables combined explained 40% of the variance in drug use by the old-old. The most commonly used therapeutic groups were cardiovascular drugs (53%), psychotropic drugs (31%), analgesics (30%), and gastrointestinal drugs (28%).
Conclusions: Our data indicate that in addition to the association of drug use with health status and healthcare utilization, the number and type of drugs taken vary with gender and place of birth.
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Trop Med Health
January 2025
LaoLuxLab/Vaccine Preventable Diseases Laboratory, Institut Pasteur du Laos, Vientiane, Laos.
Background: Individuals with latent tuberculosis infection (LTBI) have a high risk of active infection, morbidity and mortality. Healthcare workers are a group who have increased risk of infection and onward transmission to their patients and other susceptible individuals; however, LTBI is often undiagnosed, and individuals are asymptomatic. Interferon gamma release assays (IGRA) can detect evidence of TB infection in otherwise asymptomatic individuals and are a good indication of LTBI.
View Article and Find Full Text PDFBreast Cancer Res
January 2025
Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Background: Epidemiological studies associate an increase in breast cancer risk, particularly triple-negative breast cancer (TNBC), with lack of breastfeeding. This is more prevalent in African American women, with significantly lower rate of breastfeeding compared to Caucasian women. Prolonged breastfeeding leads to gradual involution (GI), whereas short-term or lack of breastfeeding leads to abrupt involution (AI) of the breast.
View Article and Find Full Text PDFMicrobiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFBMC Sports Sci Med Rehabil
January 2025
Department of Sports Studies, Faculty of Educational Studies, Universiti Putra Malaysia, Serdang, Malaysia.
Background: The evidence indicates that functional training is beneficial for athletes' physical and technical performance. However, a systematic review of the effects of functional training on athletes' physical and technical performance is lacking. Therefore, this study uses a literature synthesis approach to evaluate the impact of functional training on the physical and technical performance of the athletic population and to extend and deepen the existing body of knowledge.
View Article and Find Full Text PDFCrit Care
January 2025
HCor Research Institute, Hospital do Coração, Rua Desembargador Eliseu Guilherme 200, 8th Floor, São Paulo, SP, 04004-030, Brazil.
Background: Limited data is available to evaluate the burden of device associated healthcare infections (HAI) [central line associated bloodstream infection (CLABSI), catheter associated urinary tract infection (CAUTI), and ventilator associated pneumonia (VAP)] in low and-middle-income countries. Our aim is to investigate the population attributable mortality fraction and the absolute mortality difference of HAI in a broad population of critically ill patients from Brazil.
Methods: Multicenter cohort study from September 2019 to December 2023 with prospective individual patient data collection.
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