5 resultados para Spearman Rank correlation

em Universidade Federal do Rio Grande do Norte(UFRN)


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This research verifies the influence of the self-efficacy level on burnout syndrome incidence in relation to nursing professionals from private hospitals located in the Municipality of Natal, State of Rio Grande do Norte. The nature of the research was descriptive, and the used data analysis method was quantitative which was developed through SPSS computational package, version 17.0. The used instrument for the investigation was Maslach-Burnout Inventory (MBI), and the General Perceived Self-efficacy Scale (GPSES) was applied to a sample formed from 230 nursing professionals. The statistic techniques to data analysis were: frequency analysis; factor analysis; Cronbach.s alpha; Kaiser-Meyer-Olkin test (KMO); Bartlett efericity test; percentual analysis; Spearman rank correlation analysis; and simple regression. The achieved factors from factor analysis of MBI were the same, taking into account the dimensions which Maslach initially suggested to the instrument (emotional exhaustion, lack of personal realization, and depersonalization). However, one highlights that the low internal consistence of the depersonalization dimension can occur from people.s difficulty (caused by cultural aspects) of assuming this attitude in their work environment. Through GSE, it was achieved a factor which confirmed the unidimensionality showed by the author of the instrument. In relation to the syndrome incidence, it was verified that about 50% of the researched sample presented burnout syndrome evidence. Referring to self-efficacy level, about 65% of the researched sample presented low level of self-efficacy, what can be explained by the work characteristics of these professionals. In relation to the self-efficacy influence on the Burnout syndrome, it was verified that self-efficacy can be one of the aspects which influences occupational stress chronification (burnout), mainly to the personal realization dimension. Therefore, the researched hospital organizations need reflect about their attitudes in respect to their professionals, since the numbers showed a dangerous tendency regarding a predisposition to burnout syndrome of their staff, what implies not only a significant amount of individuals who can present high levels of emotional exhaustion, lack of personal realization, and depersonalization, but also the fact that this group presents low level of self-efficacy

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This research verifies the influence of the self-efficacy level on burnout syndrome incidence in relation to nursing professionals from private hospitals located in the Municipality of Natal, State of Rio Grande do Norte. The nature of the research was descriptive, and the used data analysis method was quantitative which was developed through SPSS computational package, version 17.0. The used instrument for the investigation was Maslach-Burnout Inventory (MBI), and the General Perceived Self-efficacy Scale (GPSES) was applied to a sample formed from 230 nursing professionals. The statistic techniques to data analysis were: frequency analysis; factor analysis; Cronbach.s alpha; Kaiser-Meyer-Olkin test (KMO); Bartlett efericity test; percentual analysis; Spearman rank correlation analysis; and simple regression. The achieved factors from factor analysis of MBI were the same, taking into account the dimensions which Maslach initially suggested to the instrument (emotional exhaustion, lack of personal realization, and depersonalization). However, one highlights that the low internal consistence of the depersonalization dimension can occur from people.s difficulty (caused by cultural aspects) of assuming this attitude in their work environment. Through GSE, it was achieved a factor which confirmed the unidimensionality showed by the author of the instrument. In relation to the syndrome incidence, it was verified that about 50% of the researched sample presented burnout syndrome evidence. Referring to self-efficacy level, about 65% of the researched sample presented low level of self-efficacy, what can be explained by the work characteristics of these professionals. In relation to the self-efficacy influence on the Burnout syndrome, it was verified that self-efficacy can be one of the aspects which influences occupational stress chronification (burnout), mainly to the personal realization dimension. Therefore, the researched hospital organizations need reflect about their attitudes in respect to their professionals, since the numbers showed a dangerous tendency regarding a predisposition to burnout syndrome of their staff, what implies not only a significant amount of individuals who can present high levels of emotional exhaustion, lack of personal realization, and depersonalization, but also the fact that this group presents low level of self-efficacy

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This descriptive study aimed to investigate the relationship between expression of immunological (TCD4 +) and virological (viral load) parameters, lipodystrophy syndrome and lifestyle variables of people living with HIV who underwent a program of physicalexercise. Initially, the sample was composed by 17 persons, recorded at the Department of Giselda Trigueiro Hospital Care (GTH), Natal-RN . With the passing of the stages of intervention (physical training program- PTP) the number of participants has changed (17, 9, 8 and 7) as the training phases (I, II, III and IV). Data collected were on total cholesterol, High Density Lipoprotein (HDL) and triglycerides. The % fat (% F), body mass index (BMI), waist-hip ratio (WHR), lean mass (LM), central fat (BF), total (TF) and peripheral (PF), weight and height were used to measure the morphological parameters. For control of variables (TCD4 +, viral load, Triglycerides, Cholesterol, HDL), the information contained in the blood tests every four months were investigated. After Phase I and II, it was used a structured interview. Then sampling was carried out considering the pre-and post-tests 1, 2, 3 and 4 (after 16, 32, 48 and 64 weeks of training, respectively). Daily, the intensity of the work was checked by the scale of perceived exertion for exercises adapted to resistance34. Procedures used were descriptive statistics (dispersion, absolute and relative frequencies, means, standard deviations and minimum and maximum values) as well as Spearman linear correlation adopting a significance level of p ≤ 0.05. Positive changes were observed for TCD4 + and viral load in all phases of the PTP. For the morphological components, the loss of central subcutaneous fat (CSF) and total subcutaneous fat (TSF) for both sexes and the decrease in % BF among women were the most dramatic results after the training phase I. For men, results were more significant to % F and LM in Phases I and II and peripheral subcutaneous fat (PSF) declined in all phases of the exercise. As for women, results were more expressive for % F and TM in the phases I and II and the PSF decreased in all phases of the exercise. Whereas for women, the waist/hip ratio (WCQ) and 0% F decreased and showed a positive association with triglycerides (WHR r * 0.82, p 0.042, r 0.88 TSF *, p 0.019 and r 1.00 ** CSF, p <0.001) and among men with limb subcutaneous fat (LSF)* r 0.65, p 0.029). The PTP provided improvement in the health, self-esteem and quality of life, proving to be a possible strategy to positively influence the expression of immunological parameters (TCD4 +) and virological (viral load) and morphological components of people living with HIV causing no deleterious effects in these parameters

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The cerebral vascular accident is a neurological dysfunction of vascular origin that leds to development of motor sensibility, cognitive, perceptive and language deficits. Despite the fact that the main sleep disorders in stroke patients are well known, it is still necessary to analyze which mechanisms of regulation of sleep and wakefulness are affected. The objective of this study was to evaluate the changes in the circadian and homeostatic control of sleep-wakefulness in stroke patients and the correlations with quality of life and level of physical activity. The study analyzed 22 stroke patients (55± 12 years old) and 24 healthy subjects (57 ±11 years old). The instruments used in this study were questionnaires on sleep quality, daytime sleepiness, quality of life, physical activity level and the actigraphy. The data were analyzed using the Student `t test, Mann-Whitney test, ANOVA and Spearman's correlation tests. The results showed stability in the sleep-wake circadian expression with changes in the amplitude of the rhythm. However, significant changes were found related to the homeostatic component characterized by increased sleep duration, increased latency, fragmented sleep and lower sleep efficiency. Additional data showed decreased quality of sleep and increased daytime sleepiness, as well as decreased quality of life and level of physical activity. The results indicate that the interaction of circadian and homeostatic control of sleep-wake is compromised and the main reason might be because of the homeostatic component and the lower activity level resulting from the brain damage. Thus, further studies may be developed to evaluate whether behavioral interventions such as increased daytime activity and restriction of sleep during the day can influence the homeostatic process and its relation to circadian component, resulting in improved quality of nocturnal sleep in stroke patients

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The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles