RESUMO

OBJECTIVE: Concern about getting sick could help prevent disease. The aim of this study was to analyze the psychometric properties of a COVID-19 concern scale (EPCov-19). MATERIALS AND METHODS: This is an instrument-based study and information was collected from 224 people of Peruvian nationality in the context of social isolation. The items of the Cancer Concern Scale were adapted for this study. RESULTS: A scale with satisfactory psychometric properties was obtained. With a matrix of polychoric correlations, values higher than the standard were obtained in all 6 items (r > 0.3) and the reliability was acceptable (α = 0.866; 95% CI = 0.83-0.89). Parallel analysis suggested unidimensionality of the EPCov-19, the variance explained was 79.7% and saturations were higher than 0.4. Goodness-of-fit índices were satisfactory (CFI = 0.995; GFI = 0.997; TLI = 0.991; and RMSEA = 0.059, 95% CI = 0.012-0.077). CONCLUSIONS: This is a valid and reliable instrument for measuring concern about the spread of COVID-19 and can be used in future studies.

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OBJETIVO: La preocupación por enfermar podría ayudar a prevenir enfermedades. El objetivo de este estudio fue analizar las propiedades psicométricas de una escala de preocupación por la COVID-19 (EPCov-19). MATERIALES Y MÉTODOS: El estudio es de tipo instrumental y se recogió información de 224 personas de nacionalidad peruana en el contexto de aislamiento social. Se realizó una adaptación de los ítems de la escala de preocupación por el cáncer. RESULTADOS: Se obtuvo una escala con propiedades psicométricas satisfactorias. Con una matriz de correlaciones policóricas se obtuvieron valores superiores al estándar en los 6 ítems (r > 0,3) y la confiabilidad fue aceptable (α = 0,866; IC del 95% = 0,83-0,89). El análisis paralelo sugirió la unidimensionalidad de la EPCov-19, la varianza explicada fue del 79,7% y las saturaciones fueron superiores a 0,4. Los índices de bondad de ajuste son satisfactorios (CFI = 0,995; GFI = 0,997; TLI = 0,991 y RMSEA = 0,059, IC del 95% = 0,012-0,077). CONCLUSIONES: Se presenta un instrumento válido y confiable para medir la preocupación por el contagio de COVID-19 y puede ser usados en futuros estudios.

RESUMO

OBJECTIVE: Concern about getting sick could help prevent disease. The aim of this study was to analyze the psychometric properties of a COVID-19 concern scale (EPCov-19). MATERIALS AND METHODS: This is an instrument-based study and information was collected from 224 people of Peruvian nationality in the context of social isolation. The items of the Cancer Concern Scale were adapted for this study. RESULTS: A scale with satisfactory psychometric properties was obtained. With a matrix of polychoric correlations, values higher than the standard were obtained in all 6 items (r >0.3) and the reliability was acceptable (α=0.866; 95% CI=0.83 - 0.89). Parallel analysis suggested unidimensionality of the EPCov-19, the variance explained was 79.7% and saturations were higher than 0.4. Goodness-of-fit índices were satisfactory (CFI=0.995; GFI=0.997; TLI=0.991; and RMSEA=0.059, 95% CI=0.012 - 0.077). CONCLUSIONS: This is a valid and reliable instrument for measuring concern about the spread of COVID-19 and can be used in future studies.

Assuntos

Atitude Frente a Saúde , COVID-19/psicologia , Autoavaliação Diagnóstica , Adolescente , Adulto , Idoso , Ansiedade/etiologia , COVID-19/epidemiologia , Análise Fatorial , Medo , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Peru/epidemiologia , Psicometria , Inquéritos e Questionários , Adulto Jovem

RESUMO

Identifying the genomic changes that control morphological variation and understanding how they generate diversity is a major goal of evolutionary biology. In Heliconius butterflies, a small number of genes control the development of diverse wing color patterns. Here, we used full genome sequencing of individuals across the Heliconius erato radiation and closely related species to characterize genomic variation associated with wing pattern diversity. We show that variation around color pattern genes is highly modular, with narrow genomic intervals associated with specific differences in color and pattern. This modular architecture explains the diversity of color patterns and provides a flexible mechanism for rapid morphological diversification.