10 research outputs found

    Stroop Reproducible Analysis Assignment

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    The network of dysfunctional beliefs about sleep: a structural re-analysis of the DBAS-16

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    Manuscript, data and cod

    Assignment 7.1 Open Science

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    Habilidades Sociais e pessoas com deficiência: panorama das pesquisas brasileiras

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    Material suplementar para: Habilidades Sociais e pessoas com deficiência: panorama das pesquisas brasileira

    The network of dysfunctional beliefs about sleep: a structural re-analysis of the DBAS-16

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    Insomnia is a common problem that affects a significant portion of the population. Dysfunctional beliefs and attitudes about sleep have been identified as important factors contributing to developing and maintaining insomnia. In this study, we developed a Brazilian-Portuguese version of the dysfunctional beliefs and attitudes about sleep scale (DBAS-16) and conducted a comprehensive psychometric evaluation using latent variable and psychometric network frameworks. Participants (N = 1,386) were between 18 and 59 years old, with and without insomnia complaints. Using Confirmatory Factor Analysis (CFA) with dynamic fit indices, we found that the original DBAS-16 structure was replicated in our sample with moderate fit quality. We also found support for configural, metric, and scalar longitudinal invariance (14 days) but not for metric invariance across groups of good and bad sleepers. Unique Variable Analysis applied to half of our sample data (n = 693) identified three redundant items suitable for exclusion (1. Need 8 hours of sleep, 3. Consequences of insomnia on health, and 15. Medication as a solution). Additionally, Exploratory Graph Analysis (EGA) identified two dimensions with excellent structural stability, replicated when EGA was applied to the other half of the sample. Using CFA, we found that the EGA model fit significantly better than the proposed theoretical model, endorsing an alternative DBAS dimensionality. Our findings support the use of the DBAS-16 with a Brazilian-Portuguese-speaking population. Further, we found that after excluding locally dependent variables, two dimensions may better represent dysfunctional beliefs and attitudes about sleep

    Cross-cultural adaptation of DBAS-16 and SPAQ scales to brazilian portuguese

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    Cross-cultural adaptation of DBAS-16 and SPAQ scales to pt-B

    The network of dysfunctional beliefs about sleep: a structural re-analysis of DBAS-16

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    A insônia é um problema comum que afeta uma parcela significativa da população. Crenças e atitudes disfuncionais sobre o sono contribuem para o desenvolvimento e a manutenção da insônia. Este estudo desenvolveu uma versão em português brasileiro da escala Dysfunctional Beliefs and Attitudes about Sleep (DBAS-16) e realizou uma avaliação psicométrica abrangente usando técnicas de modelagem de variáveis latentes e redes psicométricas. Os participantes (N=1.386) tinham entre 18 e 59 anos, com e sem queixas de insônia. Usando Análise Fatorial Confirmatória (AFC) com índices de ajuste dinâmico, a estrutura original do DBAS-16 foi replicada nesta amostra com qualidade de ajuste moderada. Houve também suporte para invariância longitudinal (14 dias) configural, métrica e escalar, mas não para invariância métrica entre grupos de bons e maus dormidores. A Unique Variable Analysis aplicada a metade dos dados da amostra (n = 693) identificou três itens redundantes adequados para exclusão (1. Necessidade de 8 horas de sono, 3. Consequências da insônia para a saúde e 15. Medicação como solução). Além disso, a Análise Exploratória de Grafos (EGA) identificou duas dimensões com excelente estabilidade estrutural, replicada quando a EGA foi aplicada à outra metade da amostra. Usando AFC, foi encontrado que o modelo obtido por EGA se ajustava significativamente melhor do que o modelo teórico proposto, endossando uma dimensionalidade alternativa da DBAS. Esses achados apoiam o uso do DBAS-16 com uma população de língua portuguesa brasileira. Além disso, após a exclusão de variáveis localmente dependentes, duas dimensões representaram melhor as crenças e atitudes disfuncionais sobre o sonoInsomnia is a common problem that affects a significant portion of the population. Dysfunctional beliefs and attitudes about sleep contribute to developing and maintaining insomnia. This study developed a Brazilian-Portuguese version of the dysfunctional beliefs and attitudes about sleep scale (DBAS-16) and conducted a comprehensive psychometric evaluation using latent variable and psychometric network frameworks. Participants (N=1,386) were between 18 and 59 years old, with and without insomnia complaints. Using Confirmatory Factor Analysis (CFA) with dynamic fit indices, the original DBAS-16 structure was replicated in this sample with moderate fit quality. There was also support for configural, metric, and scalar longitudinal invariance (14 days) but not for metric invariance across groups of good and bad sleepers. Unique Variable Analysis applied to half of the sample data (n = 693) identified three redundant items suitable for exclusion (1. Need 8 hours of sleep, 3. Consequences of insomnia on health, and 15. Medication as a solution). Additionally, Exploratory Graph Analysis (EGA) identified two dimensions with excellent structural stability, replicated when EGA was applied to the other half of the sample. Using CFA, it was found that the EGA model fit significantly better than the proposed theoretical model, endorsing an alternative DBAS dimensionality. These findings support the use of the DBAS-16 with a Brazilian-Portuguese-speaking population. Further, after excluding locally dependent variables, two dimensions better represent dysfunctional beliefs and attitudes about slee

    Acceptance and Commitment Therapy Versus Cognitive Behavioral Therapy for Insomnia: A Randomized-Controlled-Trial

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    This was a prospective, randomized, three-arm, parallel-group, controlled clinical trial comparing ACT with CBT for chronic insomnia in adults. Outcomes were assessed post-treatment (one week after completion of treatment) and at the six-month follow-up. ClinicalTrials.gov Identifier: NCT0486691
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