918 resultados para questionnaire data
Resumo:
There are scarce data about headache prevalence and its characteristics among elderly people. The aim was to carry out a cross-sectional study to determine the 1-year prevalence of tension-type and migraine headaches in people > 65 years old in the city of Sao Paulo, Brazil. All 1615 people living in the study catchment area who agreed to participate in the study answered a questionnaire based in the International Headache Society criteria. Prevalence (mean and 95% confidence interval) of any type of headache in the last year was 45.6% (43.2, 48.0). Prevalence of tension-type headache in the last year was 33.1% (30.8, 35.4): 28.1% (24.6, 31.6) for men and 36.4% (33.4, 39.4) for women; for migraine headaches, prevalence in the last year was 10.6% (9.1, 12.1): 5.1% (3.4, 6.8) for men and 14.1% (11.9, 16.3) for women. One-year prevalence rates of headaches, and especially of migraine headaches, are very high among the elderly in Brazil.
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Background Brazil has one of the highest stroke mortality rates in the world, these rates are most endemic in the poor. We verified the prevalence of stroke in a deprived neighbourhood in the city of Sao Paulo, Brazil and compared it with other surveys worldwide. Methods A questionnaire with six questions concerning limb and facial weakness, articulation, sensory disturbances, impaired vision, and past diagnosis of stroke was completed door-to-door in a well-defined area of 15 000 people. Questionnaires were considered positive when a participant answered two or more questions about stroke symptoms or the presence of stroke being confirmed by a physician, or at least three questions in the positive, even if not confirmed by a doctor. Results Of the 4496 individuals over 35-years old living in the area, 243 initially screened positive for stroke. The age-adjusted prevalence rate for men was 4 center dot 6% (95% confidence interval 3 center dot 5-5 center dot 7). For women, the prevalence rate was 6 center dot 5% (95% confidence interval 5 center dot 5-7 center dot 5); when considering only one question, the rate was 4 center dot 8% (95% confidence interval 3 center dot 9-5 center dot 7). The most commonly reported symptoms were limb weakness and sensory disturbances. Hypertension and heart disease were the conditions most commonly associated with previous stroke. Conclusion Stroke prevalence rates were higher in this poor neighbourhood compared with other surveys.
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Background Stroke mortality rates in Brazil are the highest in the Americas. Deaths from cerebrovascular disease surpass coronary heart disease. Aim To verify stroke mortality rates and morbidity in an area of Sao Paulo, Brazil, using the World Health Organization Stepwise Approach to Stroke Surveillance. Methods We used the World Health Organization Stepwise Approach to Stroke Surveillance structure of stroke surveillance. The hospital-based data comprised fatal and nonfatal stroke (Step 1). We gathered stroke-related mortality data in the community using World Health Organization questionnaires (Step 2). The questionnaire determining stroke prevalence was activated door to door in a family-health-programme neighbourhood (Step 3). Results A total of 682 patients 18 years and above, including 472 incident cases, presented with cerebrovascular disease and were enrolled in Step 1 during April-May 2009. Cerebral infarction (84 center dot 3%) and first-ever stroke (85 center dot 2%) were the most frequent. In Step 2, 256 deaths from stroke were identified during 2006-2007. Forty-four per cent of deaths were classified as unspecified stroke, 1/3 as ischaemic stroke, and 1/4 due to haemorrhagic subtype. In Step 3, 577 subjects over 35 years old were evaluated at home, and 244 cases of stroke survival were diagnosed via a questionnaire, validated by a board-certified neurologist. The population demographic characteristics were similar in the three steps, except in terms of age and gender. Conclusion By including data from all settings, World Health Organization stroke surveillance can provide data to help plan future resources that meet the needs of the public-health system.
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Introduction. Lung transplantation (LTx) candidates present incapacitating symptoms related to their mobility and activities of daily living, thereby affecting their work, social and emotional relations, and quality of life (QoL). Objective. To study the QoL of LTx candidates, seeking to identify domains that suffer the greatest impact and verify if there are differences among these impairments according to the original lung disease. Methods. We applied the Short Form-36 questionnaires and St George`s Respiratory Questionnaire (SGRQ). All data were analyzed by one-way analysis of variance and the Kruskal Wallis test for the probability with significance at P < 0.05. Results. Fifty patients were divided into groups of emphysema (n = 16), bronchiectasis (n = 12), idiopathic pulmonary fibrosis (n = 7), and cystic fibrosis (n = 15). The functional capacity, physical aspects, general status, and vitality domains showed average values below 50 points. The cystic fibrosis group showed higher functional capacity scores (46 +/- 23) than the emphysema (12 +/- 13) or idiopathic pulmonary fibrosis cohort (7 5). The limitation caused by pain affected the bronchiectasis more than the cystic fibrosis group (52 +/- 28 vs 81 +/- 25, respectively). The SGRQ scores showed impairment among all groups in all domains with average values over 50. The activities domain shows the highest score value; the emphysema (92 +/- 10) and idiopathic pulmonary fibrosis cohorts (91 +/- 9) were extremely affected compared with the cystic fibrosis (69 +/- 21) and bronchiectasis subjects (79 +/- 16). The impact domain show that subjects with cystic fibrosis were less emotionally affected by the disease. Conclusion. LTx candidates showed great impairment of their QoL due to their health problems, above all in the physical-functional aspects; the cystic fibrosis patients were the least affected by their health status.
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Background: Physical activity (PA) has proven benefits in the primary prevention of heart diseases such as heart failure (HF). Although it is well known, HF PA habits and physicians` advice have been poorly described. The aim of this study was to investigate if physicians were advising HF patients to exercise and to quantify patients` exercise profiles in a complex cardiology hospital. Methods: All 131 HF patients (80 male, average age 53 +/- 10 years, NYHA class I-V, left ventricular ejection fraction 35 +/- 11%, 35 ischemic, 35 idiopatic , 32 hypertensive and 29 with Chagas disease) went to the hospital for a HF routine check-up. On this occasion, after seeing the physician, we asked the patients if the physician had advised them about PA. Then, we asked them to fill in the international physical activity questionnaire (IPQA) Short Form to classify their PA level. Results: Our data showed a significant difference between patients who had received any kind of PA advice from physicians (36%) and those who had not (64%, p<0.0001). Using the IPAQ criteria, of the 36% of patients who had received advice, 12.4% were classified as low and 23.6% as moderate. Of the 64% of patients who did not receive advice, 26.8% were classified as lowand 37.2% as moderate. Etiology (except Chagas), functional class, ejection fraction, sex and age did not influence the PA profile. Conclusions: Physicians at a tertiary cardiology hospital were not giving patients satisfactory advice as to PA. Our data supports the need to strengthen exercise encouragement by physicians and for complementary studies on this area. (Cardiol J 2010; 17, 2: 143-148)
Wavelet correlation between subjects: A time-scale data driven analysis for brain mapping using fMRI
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Functional magnetic resonance imaging (fMRI) based on BOLD signal has been used to indirectly measure the local neural activity induced by cognitive tasks or stimulation. Most fMRI data analysis is carried out using the general linear model (GLM), a statistical approach which predicts the changes in the observed BOLD response based on an expected hemodynamic response function (HRF). In cases when the task is cognitively complex or in cases of diseases, variations in shape and/or delay may reduce the reliability of results. A novel exploratory method using fMRI data, which attempts to discriminate between neurophysiological signals induced by the stimulation protocol from artifacts or other confounding factors, is introduced in this paper. This new method is based on the fusion between correlation analysis and the discrete wavelet transform, to identify similarities in the time course of the BOLD signal in a group of volunteers. We illustrate the usefulness of this approach by analyzing fMRI data from normal subjects presented with standardized human face pictures expressing different degrees of sadness. The results show that the proposed wavelet correlation analysis has greater statistical power than conventional GLM or time domain intersubject correlation analysis. (C) 2010 Elsevier B.V. All rights reserved.
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The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its correlations with brain functions have played a role in all areas of neuroscience, including the comprehension of cognitive and emotional processing. Indeed, understanding how information is stored, retrieved, processed, and transmitted is one of the ultimate challenges in brain research. In this context, in functional neuroimaging, connectivity analysis is a major tool for the exploration and characterization of the information flow between specialized brain regions. In most functional magnetic resonance imaging (fMRI) studies, connectivity analysis is carried out by first selecting regions of interest (ROI) and then calculating an average BOLD time series (across the voxels in each cluster). Some studies have shown that the average may not be a good choice and have suggested, as an alternative, the use of principal component analysis (PCA) to extract the principal eigen-time series from the ROI(s). In this paper, we introduce a novel approach called cluster Granger analysis (CGA) to study connectivity between ROIs. The main aim of this method was to employ multiple eigen-time series in each ROI to avoid temporal information loss during identification of Granger causality. Such information loss is inherent in averaging (e.g., to yield a single ""representative"" time series per ROI). This, in turn, may lead to a lack of power in detecting connections. The proposed approach is based on multivariate statistical analysis and integrates PCA and partial canonical correlation in a framework of Granger causality for clusters (sets) of time series. We also describe an algorithm for statistical significance testing based on bootstrapping. By using Monte Carlo simulations, we show that the proposed approach outperforms conventional Granger causality analysis (i.e., using representative time series extracted by signal averaging or first principal components estimation from ROIs). The usefulness of the CGA approach in real fMRI data is illustrated in an experiment using human faces expressing emotions. With this data set, the proposed approach suggested the presence of significantly more connections between the ROIs than were detected using a single representative time series in each ROI. (c) 2010 Elsevier Inc. All rights reserved.
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Functional magnetic resonance imaging (fMRI) is currently one of the most widely used methods for studying human brain function in vivo. Although many different approaches to fMRI analysis are available, the most widely used methods employ so called ""mass-univariate"" modeling of responses in a voxel-by-voxel fashion to construct activation maps. However, it is well known that many brain processes involve networks of interacting regions and for this reason multivariate analyses might seem to be attractive alternatives to univariate approaches. The current paper focuses on one multivariate application of statistical learning theory: the statistical discrimination maps (SDM) based on support vector machine, and seeks to establish some possible interpretations when the results differ from univariate `approaches. In fact, when there are changes not only on the activation level of two conditions but also on functional connectivity, SDM seems more informative. We addressed this question using both simulations and applications to real data. We have shown that the combined use of univariate approaches and SDM yields significant new insights into brain activations not available using univariate methods alone. In the application to a visual working memory fMRI data, we demonstrated that the interaction among brain regions play a role in SDM`s power to detect discriminative voxels. (C) 2008 Elsevier B.V. All rights reserved.
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Objectives. The aim of this study was to assess the relationship between variables of physical assessment - muscular strength, flexibility and dynamic balance - with pain, pain threshold, and fibromyalgia symptoms (FM). Methods. Our sample consists of 55 women, with age ranging from 30 to 55 years (mean of 46.5, (standard deviation, SD=6.6)), mean body mass index (BMI) of 28.7(3.8) and diagnosed for FM according to the American College of Rheumatology criteria. Pain intensity was measured using a visual analogue scale (VAS) and pain threshold (PT) using Fisher`s dolorimeter. FM symptoms were assessed by the Fibromyalgia Impact Questionnaire (FIQ); flexibility by the third finger to floor test (3FF); the muscular strength index (MSI) by the maximum volunteer isometric contraction at flexion and extension of right knee and elbow using a force transducer, dynamic balance by the time to get up and go (TUG) test and the functional reach test (FRT). Data were analysed using Pearson`s correlation, as well as simple and multivariate regression tests, with significance level of 5%. Results. PT and FIQ were weakly but significantly correlated with the TUG, MSI and 3FF as well as VAS with the TUG and MSI (p<0.05). VAS, PT and FIQ was not correlated with FRT. Simple regression suggests that, alone, TUG, FR, MSI and 3FF are low predictors of VAS, PT and FIQ. For the VAS, the best predictive model includes TUG and MSI, explaining 12.6% of pain. variability. For TP and total symptoms, as obtained by the FIQ, most predictive model includes 3FF and MSI, which respectively respond by 30% and 21% of the variability. Conclusion. Muscular strength, flexibility and balance are associated with pain, pain threshold, and symptoms in FM patients.
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Background. The formation and measurement of self-concept were the foci of this research. Aims. The study aimed to investigate the influence of achievement on academic self-concept and to compare the Perception of Ability Scale for Students (PASS, Boersma & Chapman, 1992) with the Self-Description Questionnaire-1 (SDQ-1, Marsh, 1988). Sample. The participants were 479 grade 5 (mean age 126.6 months) coeducational Australian students, located in 18 schools. Method. An intra-class research design was used to investigate the influence of frame-of-reference on self-concept development. Results. As students' academic scores rose above their class mean their self-concepts increased and as students' academic scores fell below their class mean their self-concepts decreased. Students' difference from class mean predicted their self-concept scores. This finding was consistently shown across the reading, spelling, and mathematics domains using test and teaching rating data. A comparison between the PASS and the SDQ-1 demonstrated concurrent validity across self-concept domains. Conclusion. The findings support the notions that the social environment is a significant agent that influences self-concept, and that teacher ratings and standardised tests of achievement and the PASS and the SDQ-1 are valid measures for self-concept research.
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Analysis of a major multi-site epidemiologic study of heart disease has required estimation of the pairwise correlation of several measurements across sub-populations. Because the measurements from each sub-population were subject to sampling variability, the Pearson product moment estimator of these correlations produces biased estimates. This paper proposes a model that takes into account within and between sub-population variation, provides algorithms for obtaining maximum likelihood estimates of these correlations and discusses several approaches for obtaining interval estimates. (C) 1997 by John Wiley & Sons, Ltd.
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Clinical trial is considered a breakthrough method in medicine and essential to the development of new drugs. Clinical trials that comply with international and national regulations require an appropriate infrastructure and team qualification. The goal of this study was to evaluate clinical trial groups in Brazil: professional qualification, site structure regulatory knowledge and Good Clinical Practice (GCP) adherence. This is a transversal study with investigators (PI) and sub investigator (SI). PI and SI data were initially identified from Curriculum Lattes from National Advice of Scientific and Technological Development. The study participants were submitted to a questionnaire, which was composed of qualitative and quantitative questions. A hundred PI and SI were interviewed. The most representative Brazilian regions were Southeast (68%) and South (18%). The main institutions involved were HCFMUSP complex and UNIFESP among others institutions. Academic graduation is observed in 86% of them and the higher degree is Doctorate (62%). 91% had GCP knowledge although only 74% had formal training. About the team, all of them are multidisciplinary with majority of nurses and pharmaceuticals. 88% had GCP knowledge although only 77% had formal training. 36%, 60% and 44% of clinical trials were in phase II,III and IV. In conclusion, researchers have appropriate skills and knowledge to perform clinical studies however there is still a need for training. The centers where the researchers work, have trained staff and adequate infrastructure for conducting clinical trials phase II,III and IV. (C) 2010 Elsevier Inc. All rights reserved.
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Background: A follow-up study was undertaken of all Western Australian women who had a new diagnosis of boast cancer during 1989. The aims were to determine survival, frequency of recurrence and quality of life (QoL) of Western Australian women 5 years after a diagnosis of breast cancer; to determine reasons for choice ol rejection of reconstructive surgery in those women treated by mastectomy, and to determine if the choice of lumpectomy or mastectomy affects subsequent QoL. Methods: The vital status as at Ist June 1994 of all 692 women who had a new diagnosis of breast cancer in 1989 was ascertained by electronic linkage to official mortality registrations. A subsample of 215 survivors who had originally been treated by the nine surgeons who had managed 20 or more cases each was sent a reply-paid postal questionnaire asking about follow-up treatment since diagnosis, recurrence of disease, current QoL and attitudes to, and use of, reconstructive surgery. Results: The overall survival rate at 5 years was 80.8% (85.9% and 78.8% for Stage I and II, respectively). Cumulative mortality was 35% lower among the third of patients treated by the nine most active surgeons (14% vs 22%, P < 0.02), but this may be subject to referral bias. The subsample was representative of all surviving cases except for being an average of 2.7 years younger at diagnosis (mean ages 55.2 and 57.9 years). The response rate of the subsample to the postal questionnaire was 78%. Of women who had had a mastectomy. 40% had considered having a reconstruction, but only nine (78%) had undergone this operation. Median QoL on the Rosser scale (maximum = 1.0) was 0.9. QoL was worse for the 23% of patients with a recurrence of breast cancer. Patients treated by breast-conserving surgery showed a trend toward a better QoL compared with those treated by mastectomy. Conclusion: At 5 years after the diagnosis of breast cancer, one in five women had died and an estimated one in four of the survivors had recurrent disease. Quality of life in the remaining patients, half of whom had undergone adjuvant treatment, was very good. These are important baseline data against which to judge the impact of mammographic screening.
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Background Roux-en-Y gastric bypass (RYGBP) has been found to be the most efficient way to lose weight and maintain the weight loss in morbid obesity. However, with the formation of a new stomach and the modification of intestinal anatomy, there are significant changes on physiological properties of these organs that lead to nutrient deficiency, including calcium. The objectives of this study were to evaluate calcium intake, bone metabolism, and prevalence of metabolic bone disease in women subjected to RYGBP after 8 years. Methods Food frequency questionnaire and 3-day dietary recall, laboratory tests of bone metabolism and bone mineral density were accessed. Results Calcium intake was below the recommendation in all women. Serum PTH and alkaline phosphatase were elevated, whereas vitamin D and urinary calcium were significantly lower. Also, a higher prevalence of metabolic bone disease than the one expected for the normal population at the same age was noted. Conclusion These data suggest that metabolic bone disease could be a complication of this type of surgery.
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Background. Several medical devices used during hemodynamic procedures, particularly angiographic diagnostic and therapeutic cardiac catheters, are manufactured for single use only. However, reprocessing and reuse of these devices has been reported, to determine the frequency of reuse and reprocessing of single-use medical devices used during hemodynamic procedures in Brazil and to evaluate how reprocessing is performed. Design. National survey, conducted from December 1999 to July 2001. Methods. Most of the institutions affiliated with the Brazilian Society of Hemodynamic and Interventional Cardiology were surveyed by use of a questionnaire sent in the mail. Results. The questionnaire response rate was 50% (119 of 240 institutions). Of the 119 institutions that responded, 116 (97%) reported reuse of single-use devices used during hemodynamic procedures, and only 26 (22%) reported use of a standardized reprocessing protocol. Cleaning, flushing, rinsing, drying, sterilizing and packaging methods varied greatly and were mostly inadequate. Criteria for discarding reused devices varied widely. Of the 119 institutions that responded, 80 (67%) reported having a surveillance system for adverse events associated with the reuse of medical devices, although most of these institutions did not routinely review the data, and only 38 (32%) described a training program for the personnel who reprocessed single-use devices. Conclusions. The reuse of single-use devices used during hemodynamic procedures was very frequent in hospitals in Brazil. Basic guidance on how to reuse and reprocess single-use medical devices is urgently needed, because, despite the lack of studies to support reusing and reprocessing single-use medical devices, such devices are necessary in limited-resource areas in which these practices are current.