Your browser doesn't support javascript.
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 57.149
Filtrar
4.
Prensa méd. argent ; 105(10): 720-726, oct 2019. tab
Artigo em Inglês | LILACS, BINACIS | ID: biblio-1026049

RESUMO

The present study aims to investigate the effect of teaching Problem Solving in groups on the procrastination of male high school students in the city Larestan. This experimental research has used pretest-posttest with a one-month follow-up and there has been a control group involved. The statistical population of this study includes all of the male high school freshmen of the city Lar. In total, a number of 455 male students filled out the procrastination questionnaire. Among the respondents, 30 students with the highest procrastination score were selected as the samples of this study. The experimental group participated in 8 90-minute sessions and they were taught how to solve problems. On the other hand, the control group was not taught anything in this regard. At the end of all of the eight sessions the pretest was performed. Then, after a month, the questionnaires were distributed among the selected students for a follow up. The statistical data was analyzed using descriptive statistic, analysis of covariance and a second measurement. The results showed that there is a significant difference between the procrastination scores in the posttest after eliminating the effect of the pretest. It can be concluded that teaching both time management and problem solving to students significantly affects their procrastination


Assuntos
Humanos , Masculino , Resolução de Problemas , Estudantes , Efetividade , Estudos de Casos e Controles , Epidemiologia Experimental , Inquéritos e Questionários/estatística & dados numéricos , Interpretação Estatística de Dados , Seguimentos , Procrastinação
5.
Rev. Ciênc. Plur ; 5(2): 1-15, ago. 2019.
Artigo em Português | LILACS, BBO - Odontologia | ID: biblio-1021742

RESUMO

Introdução: O contexto familiar e social influencia nas situações de saúde durante a infância, sendo a orientação familiar um mediador importante entre a família e os profissionais da saúde.Objetivo: avaliar o atributo da orientação familiar sob a ótica dos familiares de crianças inscritas em serviços de puericultura da cidade de Santa Cruz, Rio Grande doNorte. Metodologia: Trata-se de estudo avaliativo, quantitativo, de caráter descritivo, com amostra composta por 186 pais/responsáveis de crianças de 0 à 2 anos dos serviços de puericultura da cidade de Santa Cruz, Rio Grande do Norte, Brasil, no ano de 2016, utilizando um questionário validado no Brasil denominado PCA Tools, versão para crianças. Resultados: Os resultados mostram que os profissionais não conhecem as famílias (48,9%), incluindo os agravos principais (45,7%), entretanto 79,6% afirmaram que sim a respeito dos antecedentes familiares. Para 63,4% eles não sabem sobre os empregos dos familiares, porém estão cientes sobre a dificuldade para obter recursos financeiros para medicação (47,3%). Referente a conhecerem a ideologia sobre o tratamento e autocuidado, 50,5% acreditam que sim.Conclusão: Embora os serviços de saúde da rede da Atenção Primária à Saúde possibilitem maior aproximação com o usuário dos serviços de saúde, bem como em seu contexto familiar e social e tenham sido responsáveis por grandes avanços na saúde pública, ainda se faz necessário implementação de medidas e estratégias para garantir o cumprimento do atributo orientação familiar (AU).


Introduction: The family and social context influences health situations during childhood, with family orientation being an important mediator between family and health professionals.Objective: to evaluate the presence and extension of the family orientation attribute from the perspective of the relatives of children enrolled in childcare services in the city of Santa Cruz, Rio Grande do Norte. Methodology: This is an evaluative, quantitative, descriptive study with a sample composed of 186 parents / guardians of children aged 0 to 2 years of childcare services in the city of Santa Cruz, Rio Grande do Norte, Brazil, in 2016, using a questionnaire validated in Brazil called PCA Tools, version for children.Results: The results show that the professionalsdo not know the families (48.9%), including the main diseases (45.7%); however, 79.6% said yes about the family history. For 63.4%, they do not know about family jobs, but are aware of the difficulty in obtaining financial resources for medication (47.3%). Concerning the ideology about treatment and self-care, 50.5% believe that it is. Conclusion: Although the health services of the Primary Health Care Network make it possible to bring health services closer to the user, as well as to their family and social context and have been responsible for great advances in public health, it is still necessary to implement measures and strategies to ensure compliance with the family orientation attribute (AU).


Assuntos
Humanos , Masculino , Feminino , Recém-Nascido , Lactente , Pré-Escolar , Atenção Primária à Saúde , Família , Criança , Saúde da Criança , Pesquisa sobre Serviços de Saúde , Pais , Brasil , Epidemiologia Descritiva , Inquéritos e Questionários , Interpretação Estatística de Dados
6.
Lakartidningen ; 1162019 Oct 14.
Artigo em Sueco | MEDLINE | ID: mdl-31613374

RESUMO

The development of accelerometers has revolutionized measurement of physical activity, and they are used to a large extent in research and have started to be implemented into clinical settings. However, achievement of reliable outcomes requires good methodological knowledge and skills by the user. Otherwise, significant measurement errors may occur, interfering with assessment of the physical activity level in the population, group differences, associations with health parameters or effect of treatments. This paper by the Swedish Network for Objective Measurement of Movement (NORM) provides an overview of physical activity measurement including sections of data collection, processing of raw data into useful metrics and statistical analysis. It targets users of accelerometer in research, health care and national surveys.


Assuntos
Acelerometria/normas , Exercício , Coleta de Dados/normas , Interpretação Estatística de Dados , Humanos
7.
Medicine (Baltimore) ; 98(43): e17630, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31651877

RESUMO

BACKGROUND: The randomized controlled trial (RCT) is the gold-standard research design in biomedicine. However, practical concerns often limit the sample size, n, the number of patients in a RCT. We aim to show that the power of a RCT can be increased by increasing p, the number of baseline covariates (sex, age, socio-demographic, genomic, and clinical profiles et al, of the patients) collected in the RCT (referred to as the 'dimension'). METHODS: The conventional test for treatment effects is based on testing the 'crude null' that the outcomes of the subjects are of no difference between the two arms of a RCT. We propose a 'high-dimensional test' which is based on testing the 'sharp null' that the experimental intervention has no treatment effect whatsoever, for patients of any covariate profile. RESULTS: Using computer simulations, we show that the high-dimensional test can become very powerful in detecting treatment effects for very large p, but not so for small or moderate p. Using a real dataset, we demonstrate that the P value of the high-dimensional test decreases as the number of baseline covariates increases, though it is still not significant. CONCLUSION: In this big-data era, pushing p of a RCT to the millions, billions, or even trillions may someday become feasible. And the high-dimensional test proposed in this study can become very powerful in detecting treatment effects.


Assuntos
Big Data , Avaliação de Resultados (Cuidados de Saúde)/métodos , Ensaios Clínicos Controlados Aleatórios como Assunto , Simulação por Computador , Interpretação Estatística de Dados , Humanos , Tamanho da Amostra
12.
Zhonghua Yu Fang Yi Xue Za Zhi ; 53(9): 955-960, 2019 Sep 06.
Artigo em Chinês | MEDLINE | ID: mdl-31474082

RESUMO

Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous logistic regression, ordinal logistic regression and adjacent categorical logistic regression. This paper illustrates the basic principle, independent variable selection and assignment, applied condition, model evaluation and diagnosis for multiple logistic regression model. Moreover, the principle and application for polytomous logistic regression and ordinal logistic regression models were also introduced. By providing SAS codes and detailed explanations of the result for an example of obesity, readers could be able to better understand logistic regression model, and apply this method correctly to their research and daily work, so as to improve their capacity of the data analysis.


Assuntos
Interpretação Estatística de Dados , Modelos Logísticos , Humanos , Obesidade , Software
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA