910 resultados para multiple regression analysis


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AIM: To study the association between atrophic gastritis (AG) and esophageal squamous cell carcinoma (ESCC) in a Latin-America population. METHODS: A case-control study was performed at two reference Brazilian hospitals including patients diagnosed with advanced ESCC and dyspeptic patients who had been subjected to upper gastrointestinal endoscopy, with biopsies of the gastric antrum and body. All cases with ESCC were reviewed by a single pathologist, who applied standard criteria for the diagnosis of mucosal atrophy, intestinal metaplasia, and dysplasia, all classified as AG. The data on the patients' age, sex, smoking status, and alcohol consumption were collected from clinical records, and any missing information was completed by telephone interview. The association between AG and ESCC was assessed by means of univariate and multiple conditional logistic regressions. RESULTS: Most patients were male, and the median age was 59 years (range: 37-79 years) in both the ESCC and control groups. Univariate analysis showed that an intake of ethanol greater than 32 g/d was an independent risk factor that increased the odds of ESCC 7.57 times (P = 0.014); upon multiple analysis, alcohol intake of ethanol greater than 32 g/d exhibited a risk of 4.54 (P = 0.081), as adjusted for AG and smoking. Smoking was shown to be an independent risk factor that increased the odds of ESCC 14.55 times (P = 0.011) for individuals who smoked 0 to 51 packs/year and 21.40 times (P = 0.006) for those who smoked more than 51 packs/year. Upon multiple analyses, those who smoked up to 51 packs/year exhibited a risk of 7.85 (P = 0.058), and those who smoked more than 51 packs/year had a risk 11.57 times higher (P = 0.04), as adjusted for AG and alcohol consumption. AG proved to be a risk factor that increased the odds of ESCC 5.33 times (95%CI: 1.55-18.30, P = 0.008) according to the results of univariate conditional logistic regression. CONCLUSION: There was an association by univariate conditional logistic regression between AG and ECSS in this sample of Latin-American population. © 2013 Baishideng.

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Objectives: To examine the independent and combined association of physical activity (PA) and sedentary behavior (SB) on both systolic (SBP) and diastolic blood pressure (DBP) in adolescents from two observational studies. Methods: Participants from two cross-sectional studies, one conducted in Europe (n = 3,308; HELENA study) and the other in Brazil (n = 991; BRACAH study), were selected by complex sampling. Systolic and diastolic blood pressure (outcomes), PA and SB, both independently and combined, and potential confounders were analyzed. Associations were examined by multilevel linear regression. Results: Performing the recommended amount of PA (≥60 min/d) attenuated the effect of SB on DBP in BRACAH study girls and in boys from both studies. In contrast, PA did not attenuate the effects of SB on the SBP of girls in the HELENA study. The combination of less than recommended levels of PA with 2-4 h/d of sedentary behavior was found to be associated with increased SBP in boys from both studies. Conclusions: Meeting current PA recommendations could mediate the association between SB and DBP in both sexes. In boys, the joint effect of low levels of PA and excessive sedentary activity increases SBP levels. Longitudinal studies are required to confirm these findings. © 2013 de Moraes et al.

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Background: The markers that characterize local and systemic inflammation in chronic obstructive pulmonary disease (COPD) remain unclear, as do their correlations with smoking status and presence of disease. The aim of this study was to assess markers of inflammation in the peripheral blood and airways of current smokers without COPD, of current smokers with COPD and of ex-smokers with COPD. METHODS: In this study, 17 current smokers with COPD (mean age: 58.2 ± 9.6 years; mean forced expiratory volume in 1 second [FEV1]: 56.1 ± 15.9%), 35 ex-smokers with COPD (mean age: 66.3 ± 7.3 years; mean FEV1: 47.9 ± 17.2%) and 20 current smokers without COPD (mean age: 49.1 ± 6.2 years; mean FEV1: 106.5 ± 15.8%) were evaluated. Spirometry findings, body composition and serum/induced sputum concentrations of tumor necrosis factor α (TNF-α), interleukin (IL)-6, IL-8 and IL-10, together with serum C-reactive protein (CRP) levels, were assessed. RESULTS: Serum TNF-α concentration was higher in all current smokers than in ex-smokers with COPD. In current smokers without COPD, serum CRP level was lower than in ex-smokers with COPD and significantly lower than in current smokers with COPD. Sputum TNF-α concentration was higher in current and ex-smokers with COPD than in current smokers without COPD. Multiple regression analyses showed that serum TNF-α was associated with active smoking, and serum CRP and sputum TNF-α were associated with COPD diagnosis. CONCLUSIONS: Smoking is associated with higher systemic inflammation in patients with COPD. Current findings also support the hypothesis that smoking and COPD have different effects on the regulation of airway and systemic inflammatory processes. © 2013 Lippincott Williams and Wilkins.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Ciências da Motricidade - IBRC

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

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Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

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Este trabalho objetivou predizer parâmetros da estrutura de associações macrobentônicas (composição específica, abundância, riqueza, diversidade e equitatividade) em estuários do Sul do Brasil, utilizando modelos baseados em dados ambientais (características dos sedimentos, salinidade, temperaturas do ar e da água, e profundidade). As amostragens foram realizadas sazonalmente em cinco estuários entre o inverno de 1996 e o verão de 1998. Em cada estuário as amostras foram coletadas em áreas não poluídas, com características semelhantes quanto a presença ou ausência de vegetação, profundidade e distância da desenbocadura. Para a obtenção dos modelos de predição, foram utilizados dois métodos: o primeiro baseado em Análise Discriminante Múltipla (ADM) e o segundo em Regressão Linear Múltipla (RLM). Os modelos baseados em ADM apresentaram resultados melhores do que os baseados em regressão linear. Os melhores resultados usando RLM foram obtidos para diversidade e riqueza. É possível então, concluir que modelos como aqui derivados podem representar ferramentas muito úteis em estudos de monitoramento ambiental em estuários.

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Pós-graduação em Pediatria - FMB