Dafne Herrero

Universidade de São Paulo

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Carlos Bandeira de Mello Monteiro

Universidade de São Paulo

Thaís Massetti

Centro Universitário São Camilo

Luíz Carlos de Abreu

Faculdade de Medicina do ABC

Talita Dias da Silva

Universidade Federal de São Paulo

Vítor Engrácia Valenti

Universidade Estadual Paulista (Unesp)

Cristina Hamamura Moriyama

Universidade de São Paulo

Paulo Rogério Gallo

Fundação do ABC

James Tonks

Williams (United States)

J. Piret

Flávia de Sousa Gehrke

Faculdade de Medicina do ABC

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Universidade de São Paulo

Faculdade de Medicina do ABC

Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo

Instituto de Saúde

Universidade Federal de São Paulo

Universidade Cidade de São Paulo

Universidade Estadual Paulista (Unesp)

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Universidade do Estado de Santa Catarina

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The Brunel Mood Scale Rating in Mental Health for Physically Active and Apparently Healthy Populations

Health (2016)

Ricardo Brandt Dafne Herrero Thaís Massetti Tânia Brusque Crocetta Regiani Guarnieri

There is a positive relationship between mood states and mental health. The aim of the present study was to investigate the construct validity and internal consistency of the Brunel Mood Scale (BRUMS) for use with different populations, which are physically active and apparently healthy. Measures were obtained from 1295 male (N = 709, 34 ± 20 years, mean ± SD) and female (N = 576, 43 ± 24 years, mean ± SD) volunteers. Factor analysis was used, verifying that six factors (components) accounted for 62.65% of the total variance of the scale. The Varimax method with Kaiser Normalization for the rotation of the factors for the main components, and it was observed that the 24 scale items loaded on six mood factors (anger, depression, tension, vigor, fatigue, and confusion). Internal consistency was good for all the factors identified. We suggest that the results provide some support for validity of the BRUMS for use with different populations, which are physically active and apparently healthy.

Varimax rotation

Confusion

Normalization

Exploratory factor analysis

10.4236/health.2016.82015

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