Objective: Identifying Nursing Diagnoses of fatigue, activity intolerance and decreased cardiac output in hospitalized patients with heart failure and verifying the association between the defining characteristics and the Nursing Diagnoses. Method: A longitudinal and prospective study that followed hospitalized patients with heart failure for three weeks. The data collected through interviews and physical examinations were sent to expert nurses for diagnostic inference. Descriptive and inferential statistical analyses were carried out. Results: Of the 72 patients, 68.0% were male and presented the nursing diagnosis of decreased cardiac output (62.5%) in the first week, reducing to 52.8% and 38% in the second and third weeks, respectively. Fatigue only appeared in one patient. Activity intolerance was the diagnosis that had the greatest discrepancy among the experts. Decreased cardiac output was associated to the defining characteristics: dyspnea, edema, jugular venous distension and reduced ejection fraction during all three weeks of evaluation. Conclusion: Decreased cardiac output was more prevalent in hospitalized patients with heart failure, and the associated defining characteristics were determining factors for this nursing diagnosis.
Background: Overweight and obesity are conditions associated with sedentary lifestyle and accumulation of abdominal fat, determining increased mortality, favoring chronic diseases, and increasing cardiovascular risk. Although the evaluation of body composition and fat distribution are highly relevant, the high cost of the gold standard techniques limits their wide utilization. Therefore, the aim of this work was to explore the relationships between simple anthropometric measures and BIA variables using multivariate linear regression models to estimate body composition and fat distribution in adults. Methods: In this cross-sectional study, sixty-eight adult individuals (20 males and 48 females) were subjected to bioelectrical impedance analysis (BIA), anthropometric measurements (waist circumference (WC), neck circumference (NC), mid-arm circumference (MAC)), allowing the calculation of conicity index (C-index), fat mass/fat-free mass (FM/FFM) ratios, body mass index (BMI) and body shape index (ABSI). Statistical analyzes were performed with the R program. Nonparametric Statistical tests were applied to compare the characteristics of participants of the groups (normal weight, overweight and obese). For qualitative variables, the Fisher’s exact test was applied, and for quantitative variables, the paired Wilcoxon signed-rank test. To evaluate the linear association between each pair of variables, the Pearson correlation coefficient was calculated, and Multivariate linear regression models were adjusted using the stepwise variable selection method, with Akaike Information Criterion (p ≤ 0.05). Results: BIA variables with the highest correlations with anthropometric measures were total body water (TBW), body fat percentage (BFP), FM, FFM and FM/FFM. The multiple linear regression analysis showed, in general, that the same variables can be estimated through simple anthropometric measures. Conclusions: The assessment of fat distribution in the body is desirable for the diagnosis and definition of obesity severity. However, the high cost of the instruments (dual energy X-ray absorptiometry, hydrostatic weighing, air displacement plethysmography, computed tomography, magnetic resonance) to assess it, favors the use of BMI in the clinical practice. Nevertheless, BMI does not represent a real fat distribution and body fat percentage. This highlights the relevance of the findings of the current study, since simple anthropometric variables can be used to estimate important BIA variables that are related to fat distribution and body composition.
Este estudo teve como objetivo relatar a experiência de um grupo acadêmicos e técnicos de enfermagem que atuaram na assistência à saúde, de forma direta e indireta, de pacientes com COVID-19 durante a pandemia do ano de 2020. Trata-se de um relato de experiência, exploratório e descritivo, de cinco acadêmicos e técnicos de enfermagem, em hospitais privados e públicos e em uma clínica privada, ambos no estado do Rio de Janeiro, no período de março a junho de 2020. A vivência dos profissionais durante o tempo de pandemia causou diversos conflitos aos mesmos, atingindo fortemente sua saúde mental e emocional. Sentimentos como medo, ansiedade e preocupação foram frequentemente relatados, principalmente dos que atuaram em ambientes onde não era possível saber se o paciente possuia coronavírus ou não uma vez que, até certo momento, nem sempre era possível o uso de equipamentos de proteção individual necessário para todos os profissionais. Embora o impacto negativo causado pela pandemia do novo coronavírus tenha sido grande, os profissionais relataram também que, após atuarem nesse período, se sentiram mais confiantes e seguros em desenvolver a enfermagem, atentando para a necessidade de seguir normas básicas de higiene e biossegurança e também da necessidade de haver uma maior valorização dos profissionais de enfermagem pelas instituições em geral, providenciando, no mínimo, equipamentos e materiais para o desenvolvimento adequado da assistência.
<span style="font-family: Arial; font-size: small;">Flaxseed are particularly abundant source of phytoestrogens, are diphenolic compounds that are present in several plants eaten by human beings. When ingested in relatively large amounts, phytoestrogens have been shown to have significant estrogen agonists/ antagonists effects in animals and humans. There is epidemiological, laboratory and clinical evidence which indicates that phytoestrogens, like certain selective estrogen receptor modulators, have an antiproliferative effect on the breast, and positive effects on the lipoprotein profile and bone density. They might also improve some of the climacteric symptoms. This evidence is critically reviewed, and the possible benefit of dietary intervention with phytoestrogen-rich food for woman's health is discussed. </span>
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