893 resultados para variable sample size


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The most common sleep disorder is obstructive sleep apnea syndrome (OSAS), that is characterized by repeated pauses in breathing during sleep, resulting in partial or complete obstruction of the upper airway. It is associated with systemic arterial hypertension and obesity. Objective: To assess the frequency of OSAS in the adult population of Botucatu by the Berlin questionnaire. Method: Transveral study was performed in which the sample size was estimated at 385 individuals. The Berlin questionnaire was administered to adults randomly on the streets, supermarkets and local shops. Data were analyzed taking into account age, gender, "high risk for OSAS", hypertension, obesity and correlations for OSAS. Results: 468 people interviewed were aged between 18 and 95 years, average of 59 years. 166 (35.25%) individuals were identified as "high risk for OSAS", being more frequent in the population above 40 years. Obesity was present in 23.3%, more common in women (60.2%). 83.5% of the population obese also had a "high risk for OSAS". Hypertension was observed in 27.3%, of these 71.9% were at "high risk for OSAS". Conclusion: The study showed a high frequency of "high risk for OSAS" in the adult population. Despite the dissemination by the media about sleep apnea, patients are not investigated, even under medical care for hypertension.

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We know the importance of treating water for human consumption because changes in the physicochemical and / or biological has been associated with various health problems, the quality of water intended for human consumption must meet potability standards established by governmental decree 518/2004. The aim of this study was to evaluate the quality of water supplied schools and daycare in the city of São Carlos - SP. We selected 31 schools and kindergartens, and at intervals of 3 months, two water samples taken at three different points - network, tank and fi lter - totaling 186 samples, with an interval of three months, to verify possible differences in sampling points and at different times. The samples were evaluated for the following parameters: presence of total coliform and fecal coliform / E. coli count of heterotrophic bacteria, determination of pH, fl uoride, free residual chlorine, turbidity and color. The largest number of samples outside the standard for coliform was coming from the fi lters and the network, heterotrophic bacteria in most samples was taken out of standard fi lters. In the physical-chemical analysis of samples as many non-standard pH occurred in the network, network, and fl uoride in the fi lter pair in the fi lter to free chlorine and turbidity in the reservoir. The parameter with a larger sample size was inadequate fl uoride. We need more attention to the conservation, cleaning and maintenance of building reservoirs and fi lters in schools and kindergartens of San Carlos, since the water was considered unfi t for consumption.

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This article examines new product development (NPD) in small and medium-sized Brazilian enterprises (SMEs) in two technology-based industries: medical devices and process control automation devices. A conceptual model that categorizes factors that contribute to the success of a new product was established. The data were collected from a sample of 62 Brazilian SMEs. The conceptual model was tested to examine the relationships between NPD practices and new product success. Data analysis reveals that new product success in medical device companies is related to organizational characteristics such as NPD proficiency and marketing skills; while in process control automation device companies, they deal in a large degree with product differentiation, innovation and capability to analyze the targeted market. Due to the relatively small sample size, caution should be exercised when interpreting the results.

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Objetive: The goal of this review is to present up-to-date information on the prevalence of overweight and obesity and to discuss the evidence regarding the impact of these conditions on the health of mother.Data Collection Method: We conducted a search for articles in the Medline, PubMed and Scielo databases covering the past 5 years, and reviewed the bibliographical references contained in the articles selected. Articles were selected by subjective evaluation in terms of methodology, sample size and year of publication. Summary of evidence: Current information points to a high and growing prevalence of overweight and obesity. We found strong evidence linking excess weight before pregnancy with the development of pregnancy-induced hypertension, gestational diabetes, pregnancy at 41 weeks or over, thromboembolism, cesarean section and puerperal infection. Conclusions: Excess weight in the pre-pregnancy is one of the most important risk factors of maternal health, whose importance increases because it is a modifiable risk factor. The obese pregnant woman should be considered at high risk and it is recommended that women be with the weight as close to normal as possible before conception.

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Objetive: The goal of this review is to discuss the evidence regarding the impact of pre-pregnancy overweight and obesity on perinatal outcomes. Data Collection Method: We conducted a search for articles in the Medline, PubMed and Scielo databases covering the past 5 years, and reviewed the bibliographical references contained in the articles selected. Articles were selected by subjective evaluation in terms of methodology, sample size and year of publication. Summary of evidence: We found strong evidence linking excess weight before pregnancy with the development of birth defects, fetal and neonatal deaths and macrosomia,. Conclusions: Excess weight in the pre-pregnancy is an important risk factor for the health of the fetus, whose importance increases because it is a modifiable risk factor.

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Electrical conductivity has been proposed as a rapid test to evaluate seed vigor; however, few researches have emphasized methodologies to its use in seeds of medicinal plants, such as chamomile. The objective of the research was to evaluate the electrical conductivity of chamomile seeds affected by different imbibition times and sample size. The evaluations consisted of moisture content, germination and vigor (first count of germination) to seed initial characterization. Then, it was evaluated the electrical conductivity, affected by imbibition time (6, 12, 24 e 48 hours) and seed amount per sample (25, 50, 75, 100). The completely randomized design was used with four replications, arranged as a 4 x 4 factorial. Means were compared by the Tukey test at 5% of probability. It was concluded that the electrical conductivity of chamomile seeds is affected by the number of seeds per sample and imbibition time isolately.

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Evaluations of measurement invariance provide essential construct validity evidence. However, the quality of such evidence is partly dependent upon the validity of the resulting statistical conclusions. The presence of Type I or Type II errors can render measurement invariance conclusions meaningless. The purpose of this study was to determine the effects of categorization and censoring on the behavior of the chi-square/likelihood ratio test statistic and two alternative fit indices (CFI and RMSEA) under the context of evaluating measurement invariance. Monte Carlo simulation was used to examine Type I error and power rates for the (a) overall test statistic/fit indices, and (b) change in test statistic/fit indices. Data were generated according to a multiple-group single-factor CFA model across 40 conditions that varied by sample size, strength of item factor loadings, and categorization thresholds. Seven different combinations of model estimators (ML, Yuan-Bentler scaled ML, and WLSMV) and specified measurement scales (continuous, censored, and categorical) were used to analyze each of the simulation conditions. As hypothesized, non-normality increased Type I error rates for the continuous scale of measurement and did not affect error rates for the categorical scale of measurement. Maximum likelihood estimation combined with a categorical scale of measurement resulted in more correct statistical conclusions than the other analysis combinations. For the continuous and censored scales of measurement, the Yuan-Bentler scaled ML resulted in more correct conclusions than normal-theory ML. The censored measurement scale did not offer any advantages over the continuous measurement scale. Comparing across fit statistics and indices, the chi-square-based test statistics were preferred over the alternative fit indices, and ΔRMSEA was preferred over ΔCFI. Results from this study should be used to inform the modeling decisions of applied researchers. However, no single analysis combination can be recommended for all situations. Therefore, it is essential that researchers consider the context and purpose of their analyses.

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Major depressive disorder (MDD) trials - investigating either non-pharmacological or pharmacological interventions - have shown mixed results. Many reasons explain this heterogeneity, but one that stands out is the trial design due to specific challenges in the field. We aimed therefore to review the methodology of non-invasive brain stimulation (NIBS) trials and provide a framework to improve clinical trial design. We performed a systematic review for randomized, controlled MDD trials whose intervention was transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS) in MEDLINE and other databases from April 2002 to April 2008. We created an unstructured checklist based on CONSORT guidelines to extract items such as power analysis, sham method, blinding assessment, allocation concealment, operational criteria used for MDD, definition of refractory depression and primary study hypotheses. Thirty-one studies were included. We found that the main methodological issues can be divided in to three groups: (1) issues related to phase II/small trials, (2) issues related to MDD trials and, (3) specific issues of NIBS studies. Taken together, they can threaten study validity and lead to inconclusive results. Feasible solutions include: estimating the sample size a priori; measuring the degree of refractoriness of the subjects; specifying the primary hypothesis and statistical tests; controlling predictor variables through stratification randomization methods or using strict eligibility criteria; adjusting the study design to the target population; using adaptive designs and exploring NIBS efficacy employing biological markers. In conclusion, our study summarizes the main methodological issues of NIBS trials and proposes a number of alternatives to manage them. Copyright (C) 2011 John Wiley & Sons, Ltd.

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Observations of cosmic rays arrival directions made with the Pierre Auger Observatory have previously provided evidence of anisotropy at the 99% CL using the correlation of ultra high energy cosmic rays (UHECRs) with objects drawn from the Veron-Cetty Veron catalog. In this paper we report on the use of three catalog independent methods to search for anisotropy. The 2pt-L, 2pt+ and 3pt methods, each giving a different measure of self-clustering in arrival directions, were tested on mock cosmic ray data sets to study the impacts of sample size and magnetic smearing on their results, accounting for both angular and energy resolutions. If the sources of UHECRs follow the same large scale structure as ordinary galaxies in the local Universe and if UHECRs are deflected no more than a few degrees, a study of mock maps suggests that these three method can efficiently respond to the resulting anisotropy with a P-value = 1.0% or smaller with data sets as few as 100 events. using data taken from January 1, 2004 to July 31, 2010 we examined the 20, 30, ... , 110 highest energy events with a corresponding minimum energy threshold of about 49.3 EeV. The minimum P-values found were 13.5% using the 2pt-L method, 1.0% using the 2pt+ method and 1.1% using the 3pt method for the highest 100 energy events. In view of the multiple (correlated) scans performed on the data set, these catalog-independent methods do not yield strong evidence of anisotropy in the highest energy cosmic rays.

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Background: The evaluation of associations between genotypes and diseases in a case-control framework plays an important role in genetic epidemiology. This paper focuses on the evaluation of the homogeneity of both genotypic and allelic frequencies. The traditional test that is used to check allelic homogeneity is known to be valid only under Hardy-Weinberg equilibrium, a property that may not hold in practice. Results: We first describe the flaws of the traditional (chi-squared) tests for both allelic and genotypic homogeneity. Besides the known problem of the allelic procedure, we show that whenever these tests are used, an incoherence may arise: sometimes the genotypic homogeneity hypothesis is not rejected, but the allelic hypothesis is. As we argue, this is logically impossible. Some methods that were recently proposed implicitly rely on the idea that this does not happen. In an attempt to correct this incoherence, we describe an alternative frequentist approach that is appropriate even when Hardy-Weinberg equilibrium does not hold. It is then shown that the problem remains and is intrinsic of frequentist procedures. Finally, we introduce the Full Bayesian Significance Test to test both hypotheses and prove that the incoherence cannot happen with these new tests. To illustrate this, all five tests are applied to real and simulated datasets. Using the celebrated power analysis, we show that the Bayesian method is comparable to the frequentist one and has the advantage of being coherent. Conclusions: Contrary to more traditional approaches, the Full Bayesian Significance Test for association studies provides a simple, coherent and powerful tool for detecting associations.

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Aim: To use published literature and experts' opinion to investigate the clinical meaning and magnitude of changes in the Quality of Life (QOL) of groups of patients measured with the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Methods: An innovative method combining systematic review of published studies, expert opinions and meta-analysis was used to estimate large, medium, and small mean changes over time for QLQ-C30 scores. Results: Nine hundred and eleven papers were identified, leading to 118 relevant papers. One thousand two hundred and thirty two mean changes in QOL over time were combined in the meta-analysis, with timescales ranging from four days to five years. Guidelines were produced for trivial, small, and medium size classes, for each subscale and for improving and declining scores separately. Estimates for improvements were smaller than respective estimates for declines. Conclusions: These guidelines can be used to aid sample size calculations and interpretation of mean changes over time from groups of patients. Observed mean changes in the QLQ-C30 scores are generally small in most clinical situations, possibly due to response shift. Careful consideration is needed when planning studies where QOL changes over time are of primary interest; the timing of follow up, sample attrition, direction of QOL changes, and subscales of primary interest are key considerations. (C) 2012 Elsevier Ltd. All rights reserved.

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Background: Medical students experience a lot of stress what may contribute to symptoms of depression. In this study we set out to look at the environmental factors which may be contributing in one medical school in Brazil. Methods: We assessed depressive symptoms using Beck's Depression Inventory in 465 and 267 medical students in 2001 and 2006 respectively. We explored possible social and environmental causes using qualitative data. Results: Nearly 15% scored above the cut off for depression in both the samples. Males in the pre-clinical stage in 2006 showed an increase in depressive symptoms than males in the same cycle in 2001 (aOR = 7.36 [95% CI = 0.85-63.5] p = 0.07). Qualitative data confirmed that factors such as ragging and low social involvement were correlated with depressive symptoms in pre-clinical stage males. Limitations: The sample size was small both for quantitative and qualitative aspects of the study. Conclusions: It appears that ragging plays an important role in the genesis of depressive symptoms in medical students. (C) 2012 Elsevier B.V. All rights reserved.

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Background: Social Phobia (SP) is an anxiety disorder that frequently co-occurs with obsessive-compulsive disorder (OCD); however, studies that evaluate clinical factors associated with this specific comorbidity are rare. The aim was to estimate the prevalence of SP in a large multicenter sample of OCD patients and compare the characteristics of individuals with and without SP. Method: A cross-sectional study with 1001 patients of the Brazilian Research Consortium on Obsessive-Compulsive Spectrum Disorders using several assessment instruments, including the Dimensional Yale-Brown Obsessive-Compulsive Scale and the Structured Clinical Interview for DSM-IV Axis I Disorders. Univariate analyses were followed by logistic regression. Results: Lifetime prevalence of SP was 34.6% (N=346). The following variables remained associated with SP comorbidity after logistic regression: male sex, lower socioeconomic status, body dysmorphic disorder, specific phobia, dysthymia, generalized anxiety disorder, agoraphobia, Tourette syndrome and binge eating disorder. Limitations: The cross-sectional design does not permit the inference of causal relationships; some retrospective information may have been subject to recall bias; all patients were being treated in tertiary services, therefore generalization of the results to other samples of OCD sufferers should be cautious. Despite the large sample size, some hypotheses may not have been confirmed due to the small number of cases with these characteristics (type 2 error). Conclusion: SP is frequent among OCD patients and co-occurs with other disorders that have common phenomenological features. These findings have important implications for clinical practice, indicating the need for broader treatment approaches for individuals with this profile. (C) 2012 Elsevier B.V. All rights reserved.

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Introduction: Impairments in facial emotion recognition (PER) have been reported in bipolar disorder (BD) during all mood states. FER has been the focus of functional magnetic resonance imaging studies evaluating differential activation of limbic regions. Recently, the alpha 1-C subunit of the L-type voltage-gated calcium channel (CACNA1C) gene has been described as a risk gene for BD and its Met allele found to increase CACNA1C mRNA expression. In healthy controls, the CACNA1C risk (Met) allele has been reported to increase limbic system activation during emotional stimuli and also to impact on cognitive function. The aim of this study was to investigate the impact of CACNA1C genotype on FER scores and limbic system morphology in subjects with BD and healthy controls. Material and methods: Thirty-nine euthymic BD I subjects and 40 healthy controls were submitted to a PER recognition test battery and genotyped for CACNA1C. Subjects were also examined with a 3D 3-Tesla structural imaging protocol. Results: The CACNA1C risk allele for BD was associated to FER impairment in BD, while in controls nothing was observed. The CACNA1C genotype did not impact on amygdala or hippocampus volume neither in BD nor controls. Limitations: Sample size. Conclusion: The present findings suggest that a polymorphism in calcium channels interferes FER phenotype exclusively in BD and doesn't interfere on limbic structures morphology. (C) 2012 Elsevier B.V. All rights reserved.