Factors associated with beliefs about adherence to non-pharmacological treatment of patients with heart failure

This study aimed at assessing beliefs about the benefits and barriers to adherence to daily self-monitoring of weight/edema in patients with heart failure, and the influence of demographic and clinical variables on those beliefs. 105 patients were interviewed. The mean of the subscales Benefits and Barriers were 20.2 (± 5.7) and 30.1 (±7.1), respectively. Patients perceived that adherence to daily self-monitoring of weight/edema could keep them healthy, improve their quality of life and decrease the chances of readmission. Approximately half of patients (46.7%) reported forgetting this measure. Those who controlled weight once a month were more likely to have barriers to adherence (OR= 6.6; IC 95% 1.9-13.8; p=0.01), showing this measure to be the main factor related to perceived barriers. Education in health can contribute with the development of strategies aimed at lowering barriers and increasing benefits of this control.

Self-Care, Sense Of Coherence And Depression In Patients Hospitalized For Decompensated Heart Failure

OBJECTIVE To analyze the self-care behaviors according to gender, the symptoms of depression and sense of coherence and compare the measurements of depression and sense of coherence according to gender. METHOD A correlational, cross-sectional study that investigated 132 patients with decompensated heart failure (HF). Data were collected through interviews and consultation to medical records, and analyzed using the chi-square and the Student's t tests with significance level of 0.05. Participants were 75 men and 57 women, aged 63.2 years on average (SD = 13.8). RESULTS No differences in self-care behavior by gender were found, except for rest after physical activity (p = 0.017). Patients who practiced physical activity showed fewer symptoms of depression (p<0.001). There were no differences in sense of coherence according to self-care behavior and gender. Women had more symptoms of depression than men (p = 0.002). CONCLUSION Special attention should be given to women with HF considering self-care and depressive symptoms.

Heart failure as a predictor of functional dependence in hospitalized elderly

AbstractOBJECTIVEIdentify whether Heart Failure (HF) is a predictor of functional dependence for Basic Activities of Daily Living (BADL) in hospitalized elderly.METHODSWe investigated medical records and assessed dependence to BADL (by the Katz Index) of 100 elderly admitted to a geriatric ward of a university hospital. In order to verify if HF is a predictor of functional dependence, linear regression analyzes were performed.RESULTSThe prevalence of HF was 21%; 95% of them were dependent for BADLs. Bathing was the most committed ADL. HF is a predictor of dependence in hospitalized elderlies, increasing the chance of functional decline by 5 times (95% CI, 0.94-94.48), the chance of functional deterioration by 3.5 times (95% CI, 1.28-11.66; p <0.02) and reducing 0.79 points in the Katz Index score (p <0.05).CONCLUSIONHF is a dependency predictor of ADL in hospitalized elderly, who tend to be more dependent, especially for bathing.

Wing diagnostic characters for Culex quinquefasciatus and Culex nigripalpus (Diptera, Culicidae)

Wing diagnostic characters for Culex quinquefasciatus and Culex nigripalpus (Diptera, Culicidae). Culex quinquefasciatus and Culex nigripalpus are mosquitoes of public health interest, which can occur sympatrically in urban and semi-urban localities. Morphological identification of these species may be difficult when specimens are not perfectly preserved. In order to suggest an alternative taxonomical diagnosis, wings of these species were comparatively characterized using geometric morphometrics. Both species could be distinguished by wing shape with accuracy rates ranging from 85-100%. Present results indicate that one can identify these species relying only on wing characters when traditional taxonomical characters are not visible.

Diagnostic techniques applied in geostatistics for agricultural data analysis

The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations in sampled data. The purpose of this study was to use diagnostic techniques in Gaussian spatial linear models in geostatistics to evaluate the sensitivity of maximum likelihood and restrict maximum likelihood estimators to small perturbations in these data. For this purpose, studies with simulated and experimental data were conducted. Results with simulated data showed that the diagnostic techniques were efficient to identify the perturbation in data. The results with real data indicated that atypical values among the sampled data may have a strong influence on thematic maps, thus changing the spatial dependence structure. The application of diagnostic techniques should be part of any geostatistical analysis, to ensure a better quality of the information from thematic maps.