The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale

Introduction: Healthy lifestyles are relevant to several diseases and to maintain individuals’ mental health. Exposure to epidemics and confinement have been consistently associated with psychological consequences, but changes on lifestyle behaviours remain under-researched.Materials and MethodsAn online survey was conducted among the general population living in Spain during the COVID-19 home-isolation. In addition to demographic and clinical data, participants self-reported changes in seven lifestyle domains. The Short Multidimensional Inventory Lifestyle Evaluation was developed specifically to evaluate changes during the confinement (SMILE-C).ResultsA total of 1254 individuals completed the survey over the first week of data collection. The internal consistency of the SMILE-C to assess lifestyles during confinement was shown (Cronbach's Alpha=0.747). Most participants reported substantial changes on outdoor time (93.6%) and physical activity (70.2%). Moreover, about one third of subjects reported significant changes on stress management, social support, and restorative sleep. Several demographic and clinical factors were associated to lifestyle scores. In the multivariate model, those independently associated with a healthier lifestyle included substantial changes on stress management (p<0.001), social support (p=0.001) and outdoor time (p<0.001), amongst others. In contrast, being an essential worker (p=0.001), worse self-rated health (p<0.001), a positive screening for depression/anxiety (p<0.001), and substantial changes on diet/nutrition (p<0.001) and sleep (p<0.001) were all associated with poorer lifestyles. (AU)

Introducción: Los estilos de vida saludables son relevantes para diversas enfermedades, así como para mantener la salud mental de los individuos. La exposición a epidemias y confinamientos se ha asociado de manera consistente a consecuencias psicológicas, pero los cambios en los comportamientos del estilo de vida siguen sin investigarse.Materiales y métodosSe realizó una encuesta online entre la población general residente en España durante el confinamiento domiciliario debido a COVID-19. Además de los datos demográficos y clínicos, los participantes auto-reportaron los cambios producidos en siete dominios del estilo de vida. Se desarrolló específicamente Short Multidimensional Inventory Lifestyle Evaluation (SMILE-C) para evaluar los cambios durante el confinamiento.ResultadosUn total de 1.254 individuos completaron la encuesta durante la primera semana de recabado de los datos. Se reflejó la consistencia interna de SMILE-C para evaluar los estilos de vida durante el confinamiento (alfa de Cronbach=0,747). La mayoría de los participantes reportó cambios sustanciales en cuanto al tiempo al aire libre (93,6%) y a la actividad física (70,2%). Además, alrededor de un tercio de los sujetos reportó cambios significativos en cuanto a gestión del estrés, respaldo social y sueño reparador. Algunos factores demográficos y clínicos se asociaron a las puntuaciones del estilo de vida. En el modelo multivariante, aquellos factores asociados de manera independiente a un estilo de vida más saludable incluyeron cambios sustanciales en cuanto a gestión del estrés (p<0,001), respaldo social (p=0,001) y tiempo al aire libre (p<0,001), entre otros. Por contra, los factores relacionados con ser un trabajador esencial (p=0,001), peor salud auto-calificada (p<0,001), cribado positivo de depresión/ansiedad (p<0,001) y cambios sustanciales en la dieta/nutrición (p<0,001) y sueño (p<0,001) estuvieron asociados a peores estilos de vida. (AU)

Quality of life and mood disorder episodes: community sample.

OBJECTIVE: To assess quality of life among Brazilian young adults who are 18-24 years old and who experience depressive, manic/hypomanic, and mixed episodes. METHOD: This is a cross-sectional population-based study. The sample was selected in clusters. Mood disorders were assessed using a short, structured diagnostic interview-the Mini International Neuropsychiatric Interview (MINI) for DSM-IV and ICD-10 psychiatric disorders. Quality of life was assessed by the MOS 36-item Short-form General Health Survey (SF-36). RESULTS: The sample comprised 1560 young adults. The prevalence ratio of mood disorder episodes were as follows: 10.0% depressive episode, 2.3% manic/hypomanic episode, and 2.4% mixed episode. Lower scores were found in all domains of quality of life among young adults who experience mood disorder episodes when compared to the general population (p<0.001 in the eight domains of the SF-36). Moreover, the impact on quality of life was higher among young adults with mixed episodes, followed by depressive episodes. CONCLUSION: Young adults with mood disorders, even without a previous diagnosis of bipolar disorder, have an impaired quality of life in comparison to the general population.