1,720,990 research outputs found
Age-related changes in brain functions: cognition, executive process, and motor speed. A population-based study
No full textBackground and aims: The aim of the present study is to describe the effects of aging on various cognitive domains (global cognitive function, executive function, motor speed) in a population sample of elderly men, and to describe how their age-related changes are influenced by education, depression, or prevalent cerebrovascular accidents (CEVD). Methods: A cross-sectional observational study was conducted in a cohort of 334 men, 65 to 95 years old, living in rural communities, participating in the Italian cohort of two population studies - MATISS (Malattie cardiovascolari ATerosclerotiche Istituto Superiore di Sanità) and FINE (Finland, Italy, Netherlands, Elderly). Global cognitive function was measured by the Mini-Mental State Examination (MMSE), executive function by the Stroop test, motor speed by the Purdue Pegboard test, and depression by the CES-D test. Prevalence of cerebrovascular accidents (CEVD), myocardial infarction, and diabetes were evaluated by a questionnaire and a clinical examination. Blood pressure, and total and HDL cholesterol were measured. Current smoking status was self-reported. Results: An age-associated decline in global cognitive functions, executive functions, and motor speed was observed. The decline is more apparent after the age of 85 for the MMSE, and after 75 for executive functions and motor speed. Logistic regression analysis revealed that age was independently associated with altered global cognitive functions, executive functions, and motor speed, even after adjusting for education, depression or prevalent CEVD. Conclusions: In a cohort of community-living elderly men aged 65 to 95 years, age-associated changes in mental functions are more evident after the age of 85. These changes are independent of education, depression, or prevalent CEVD
Association between Antidepressant Medication Use and Prevalence and Control of Cardiovascular Risk Factors in Community-Dwelling Older Adults: The Italian Health Examination Survey 2008-2012
No full textBackground: To assess the association of antidepressant (AD) medication use with prevalence and control of cardiovascular (CV) risk factors. Methods: Data of older adults from the population-based Italian Osservatorio Epidemiologico Cardiovascolare/Health Examination Survey (OEC/HES) Study 2008-2012 were used. CV risk factors were measured using standardized procedures. Information on clinical features, lifestyles, and medications was collected using standardized questionnaires. Logistic regression models were elaborated to assess associations between AD use and prevalence and control of CV risk factors. Results: Around 2549 participants (age 71.4 ± 4.2 years, 51.3% men) were studied; 268 (10.5%) were AD users. Of these, 72.4% used selective serotonin reuptake inhibitors (SSRI). AD users had less favorable CV risk factor profile and were less likely to achieve control of blood pressure and total cholesterol. After multiple adjustment for potentially confounding variables, AD use was associated with greater likelihood of having diabetes (OR=1.05, 95% CI=1.02-1.10, P=0.008), hypertension (OR=1.10, 95% CI=1.05-1.20, P=0.003), and hypercholesterolemia (OR=1.08, 95% CI=1.04-1.14, P < 0.001). Among participants treated for hypertension and hypercholesterolemia, AD use was associated with poorer control of BP (OR=1.07, 95% CI=1.03-1.12, P=0.001) and cholesterol (OR=1.06, 95% CI=1.01-1.12, P=0.021). Results persisted virtually unchanged when analyses were restricted to participants on SSRI. Conclusions: AD use was associated with greater prevalence and poorer control of traditional risk factors for CV disease in a population-based sample of older adults. Such results highlight the need for surveillance of CV risk factors and promotion of healthy lifestyles in older adults with psychopathology and, in particular, in those under AD treatment
Prevalence of COVID-19-related symptoms by age group
No full textBackground: Severe acute respiratory syndrome coronavirus 2 has caused over 95 million confirmed cases of COVID-19 and over 2 million deaths worldwide. According to current literature data, older adults have higher risk of severe disease and mortality due to COVID-19. It is also known that older adults often do not present typical symptoms of diseases. The aim of the study was to assess if the prevalence of typical COVID-19-related symptoms varies by age group. Methods: Medical charts of a random sample of COVID-19 patients dying in-hospital were retrieved through an integrated national surveillance system and reviewed by a group of researchers at the Italian National Institute of Health. Detailed information on COVID-19-related symptoms were extracted and analyzed. Results: 3241 confirmed cases of COVID-19-related deaths were identified from 4391 reviewed medical charts. The mean number of COVID-19-related symptoms progressively declined with age, from 2.1 in patients aged < 60 years to 1.7 in those aged 90 years or older (p < 0.001). Moreover, fever, cough, and diarrhea significantly declined with increasing age. Conclusions: Older adults have atypical presentation of symptoms and may be paucisymptomatic. This may lead to a diagnostic and therapeutic delay which aggravates the prognosis of COVID-19. Special attention should be posed when assessing individuals aged 65 years and older with suspected COVID-19
Hospital-acquired bloodstream infections in patients deceased with COVID-19 in Italy (2020–2021)
No full textIntroduction: In hospitalized patients with COVID-19, bloodstream infections (BSI) are associated with high mortality and high antibiotic resistance rates. The aim of this study was to describe BSI etiology, antimicrobial resistance profile and risk factors in a sample of patients deceased with COVID-19 from the Italian National COVID-19 surveillance. Methods: Hospital charts of patients who developed BSI during hospitalization were reviewed to describe the causative microorganisms and their antimicrobial susceptibility profiles. Risk factors were analyzed in univariate and multivariate analyses. Results: The study included 73 patients (71.2% male, median age 70): 40 of them (54.8%) received antibiotics and 30 (41.1%) systemic steroids within 48 h after admission; 53 (72.6%) were admitted to intensive care unit. Early steroid use was associated with a significantly shorter interval between admission and BSI occurrence. Among 107 isolated microorganisms, the most frequent were Enterococcus spp., Candida spp., Acinetobacter baumannii, and Klebsiella pneumoniae. Median time from admission to BSI was shorter for Staphylococcus aureus compared to all other bacteria (8 vs. 24 days, p = 0.003), and longer for Enterococcus spp., compared to all other bacteria (26 vs. 18 days, p = 0.009). Susceptibility tests showed a high rate of resistance, with 37.6% of the bacterial isolates resistant to key antibiotics. Resistance was associated with geographical area [adjusted odds ratio (AOR) for Central/South Italy compared to North Italy: 6.775, p = 0.002], and with early use of systemic steroids (AOR 6.971, p = 0.018). Conclusions: In patients deceased with COVID-19, a large proportion of BSI are caused by antibiotic-resistant bacteria. Early steroid use may facilitate this occurrence
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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