{"title":"Association between lifestyle behaviors and depression in 90.846 Brazilian adults: A cluster analysis","authors":"Sarah Vitoria Bristot Carnevalli , Renato Claudino , Leticia Schmitz Nacur de Almeida , Tuane Sarmento , Jhonatan Wélington Pereira Gaia , Thiago Sousa Matias","doi":"10.1016/j.mhpa.2025.100672","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and aims</h3><div>A lifestyle that includes high screen time, unhealthy eating behaviors, physical inactivity, and tobacco use has been associated with an increased risk of developing depressive disorders. However, lifestyles often encompass a combination of both positive and negative behaviors. This study aimed to investigate the association between clusters of lifestyle behaviors and depression in Brazilians.</div></div><div><h3>Methods</h3><div>A secondary analysis was conducted using the data from the Brazilian National Health Survey. Brazilians aged ≥15 years participated in this study. Lifestyle evaluations included eating behavior, physical activity, screen time, tobacco use, and alcohol consumption. Clinical diagnoses of depression were self-reported. Two-step cluster analysis was used to identify the lifestyle profiles. We used a multivariate logistic regression model to examine the association between the lifestyle cluster profiles and depression.</div></div><div><h3>Results</h3><div>A total of 90,846 Brazilians were analyzed, revealing three lifestyle clusters. The “At Risk” cluster, characterized by the least healthy behaviors represented 12.5% of the sample and had a depression prevalence of 10.9%. The results demonstrated that participants in the “active with alcohol consumption” cluster had approximately 35% (OR<sup>adjusted</sup> = 0.65; 95%CI = 0.57, 0.74) and the “healthier” cluster had 27% (OR<sup>adjusted</sup> = 0.73; 95%CI = 0.65, 0.85) lower odds of reporting depression than those in the at-risk cluster.</div></div><div><h3>Conclusion</h3><div>Participants in clusters that combine multiple detrimental health behaviors showed an association with depression. Synergies between lifestyle behaviors may be key to understanding mental health issues.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"28 ","pages":"Article 100672"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mental Health and Physical Activity","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755296625000031","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and aims
A lifestyle that includes high screen time, unhealthy eating behaviors, physical inactivity, and tobacco use has been associated with an increased risk of developing depressive disorders. However, lifestyles often encompass a combination of both positive and negative behaviors. This study aimed to investigate the association between clusters of lifestyle behaviors and depression in Brazilians.
Methods
A secondary analysis was conducted using the data from the Brazilian National Health Survey. Brazilians aged ≥15 years participated in this study. Lifestyle evaluations included eating behavior, physical activity, screen time, tobacco use, and alcohol consumption. Clinical diagnoses of depression were self-reported. Two-step cluster analysis was used to identify the lifestyle profiles. We used a multivariate logistic regression model to examine the association between the lifestyle cluster profiles and depression.
Results
A total of 90,846 Brazilians were analyzed, revealing three lifestyle clusters. The “At Risk” cluster, characterized by the least healthy behaviors represented 12.5% of the sample and had a depression prevalence of 10.9%. The results demonstrated that participants in the “active with alcohol consumption” cluster had approximately 35% (ORadjusted = 0.65; 95%CI = 0.57, 0.74) and the “healthier” cluster had 27% (ORadjusted = 0.73; 95%CI = 0.65, 0.85) lower odds of reporting depression than those in the at-risk cluster.
Conclusion
Participants in clusters that combine multiple detrimental health behaviors showed an association with depression. Synergies between lifestyle behaviors may be key to understanding mental health issues.
期刊介绍:
The aims of Mental Health and Physical Activity will be: (1) to foster the inter-disciplinary development and understanding of the mental health and physical activity field; (2) to develop research designs and methods to advance our understanding; (3) to promote the publication of high quality research on the effects of physical activity (interventions and a single session) on a wide range of dimensions of mental health and psychological well-being (eg, depression, anxiety and stress responses, mood, cognitive functioning and neurological disorders, such as dementia, self-esteem and related constructs, psychological aspects of quality of life among people with physical and mental illness, sleep, addictive disorders, eating disorders), from both efficacy and effectiveness trials;