Raquel B De Boni, Jurema C Mota, Felipe Barreto Schuch, Daniel Alvarez Pires, Thiago Sousa Matias, Renato Sobral Monteiro-Junior, Andrea C Deslandes, Danilo R Silva, Helena Ferreira Moura, Nicole Galvão-Coelho, Fabianna Resende de Jesus-Moraleida, Flavio Kapczinski, Vicent Balanzá-Martinez
{"title":"U-SMILE: a brief version of the Short Multidimensional Inventory on Lifestyle Evaluation.","authors":"Raquel B De Boni, Jurema C Mota, Felipe Barreto Schuch, Daniel Alvarez Pires, Thiago Sousa Matias, Renato Sobral Monteiro-Junior, Andrea C Deslandes, Danilo R Silva, Helena Ferreira Moura, Nicole Galvão-Coelho, Fabianna Resende de Jesus-Moraleida, Flavio Kapczinski, Vicent Balanzá-Martinez","doi":"10.47626/2237-6089-2023-0722","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Lifestyle Medicine comprises six domains: diet, substance use, physical activity, stress management, social connection, and sleep. The comprehensive assessment of lifestyle is challenging, but the \"Short Multidimensional Inventory on Lifestyle Evaluation\" (SMILE) was developed to fill out this gap. In this paper, we describe the development and the psychometric properties (internal consistency, concurrent and convergent validity) of a shorter version of the SMILE among university students.</p><p><strong>Methods: </strong>Data from a cross-sectional study including 369 students from 10 Brazilian universities were used. Considering a theoretical nomological net, we performed exploratory factor analysis to obtain the most parsimonious, interpretable and good-fitting model.</p><p><strong>Results: </strong>The final model was called U-SMILE, comprised 24 items, and presented acceptable internal consistency (Cronbach's α = 0.73, McDonald's ω = 0.79). To evaluate the concurrent validity of the U-SMILE, we compared it to the original SMILE and found a high correlation between the instruments (Spearman's r= 0.94). Furthermore, we evaluated convergent validity by examining the U-SMILE correlation with the PHQ-9 (Spearman's r= -0.517), and GAD-7 (Spearman's r= -0.356), two validated instruments to screen for depression and anxiety, respectively.</p><p><strong>Discussion: </strong>Our findings suggest that the U-SMILE is a valid instrument for assessing lifestyle among university students. We recommend that the use of U-SMILE to evaluate overall lifestyle scores rather than individual domain scores. Finally, we discuss the importance of clarifying the definitions of lifestyle and related constructs in future research.</p>","PeriodicalId":46305,"journal":{"name":"Trends in Psychiatry and Psychotherapy","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Psychiatry and Psychotherapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47626/2237-6089-2023-0722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Lifestyle Medicine comprises six domains: diet, substance use, physical activity, stress management, social connection, and sleep. The comprehensive assessment of lifestyle is challenging, but the "Short Multidimensional Inventory on Lifestyle Evaluation" (SMILE) was developed to fill out this gap. In this paper, we describe the development and the psychometric properties (internal consistency, concurrent and convergent validity) of a shorter version of the SMILE among university students.
Methods: Data from a cross-sectional study including 369 students from 10 Brazilian universities were used. Considering a theoretical nomological net, we performed exploratory factor analysis to obtain the most parsimonious, interpretable and good-fitting model.
Results: The final model was called U-SMILE, comprised 24 items, and presented acceptable internal consistency (Cronbach's α = 0.73, McDonald's ω = 0.79). To evaluate the concurrent validity of the U-SMILE, we compared it to the original SMILE and found a high correlation between the instruments (Spearman's r= 0.94). Furthermore, we evaluated convergent validity by examining the U-SMILE correlation with the PHQ-9 (Spearman's r= -0.517), and GAD-7 (Spearman's r= -0.356), two validated instruments to screen for depression and anxiety, respectively.
Discussion: Our findings suggest that the U-SMILE is a valid instrument for assessing lifestyle among university students. We recommend that the use of U-SMILE to evaluate overall lifestyle scores rather than individual domain scores. Finally, we discuss the importance of clarifying the definitions of lifestyle and related constructs in future research.