Repositorio UFRO · Omeka S

Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis

Primer Autor	Roman Mella, Francisca
Co-autores	Salazar-Fernandez, Camila Mawditt, Claire Palet, Daniela Haeger, Paola A.
Título	Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis
Editorial	BMC
Revista	BMC PUBLIC HEALTH
Lenguaje	en
Resumen	The COVID-19 pandemic has had a significant impact on daily life, affecting both physical and mental health. Changes arising from the pandemic may longitudinally impact health-related behaviors (HRB). As different HRBs co-occur, in this study, we explore how six HRBs - alcohol (past-week and binge-drinking), tobacco, marijuana, benzodiazepine use, and unhealthy food consumption - were grouped and changed over time during the COVID-19 pandemic. A sample of 1038 university students and staff (18 to 73 years old) of two universities completed an online psychometrically adequate survey regarding their recalled HRB (T0, pre-COVID-19 pandemic) and the impact of COVID-19 on their behaviors during July (T1) and November (T2). Latent Transition Analysis (LTA) was used to identify HRB cluster membership and how clusters changed across T0, T1, and T2. Four clusters emerged, but remained mainly stable over time: 'Lower risk' (65.2-80%), 'Smokers and drinkers' (1.5-0.01%), 'Binge-drinkers and marijuana users' (27.6-13.9%), and 'Smokers and binge-drinkers' (5.6-5.8%). Participants who moved from one cluster to another lowered their HRB across time, migrating from the 'Binge-drinkers and marijuana users' cluster to 'Lower risk'. Participants in this cluster were characterized as less affected economically by the COVID-19 pandemic, with lower reported stress levels, anxiety, depression, and loneliness than the other clusters. Our results provide evidence of how HRBs clustered together and transitioned longitudinally during the COVID-19 pandemic. HRB clustering across time offers a valuable piece of information for the tailoring of interventions to improve HRB.
Tipo de Recurso	artículo original
Description	This research was funded by National Research and Development Agency (ANID), grant number COVID0282. The agency had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. Esta investigación fue financiada por la Agencia Nacional de Investigación y Desarrollo (ANID), número de subvención COVID0282. La agencia no tuvo ningún papel en el diseño del estudio y la recopilación, análisis e interpretación de los datos ni en la redacción del manuscrito.
doi	10.1186/s12889-022-13854-x
Formato Recurso	PDF
Palabras Claves	Clustering Alcohol Smoking Marijuana Benzodiazepines Unhealthy food Latent transition analysis EMERGING TOBACCO PRODUCTS ALCOHOL-USE MARIJUANA POPULATION PATTERNS DRINKING COLLEGE SAMPLE ADULT DETERMINANTS
Ubicación del archivo	http://dx.doi.org/10.1186/s12889-022-13854-x
Categoría OCDE	Salud pública ambiental y ocupacional
Materias	Agrupación Alcohol Fumar Marihuana Benzodiazepinas Alimentos no saludables Análisis de transición latente PRODUCTOS DE TABACO EMERGENTES CONSUMO DE ALCOHOL MARIHUANA POBLACIÓN PATRONES BEBIDA UNIVERSIDAD MUESTRA ADULTO DETERMINANTES
Disciplinas de la OCDE	Otras Especialidades de la Psicología Abuso de Substancias Salud Pública y Ambiental
Título de la cita (Recomendado-único)	Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	version publicada
License	CC BY 4.0
Condición de la licencia (Recomendado-repetible)	CC BY 4.0
Derechos de acceso	acceso abierto
Access Rights	acceso abierto
Referencia del Financiador (Mandatado si es aplicable-repetible)	ANID COVID028
Id de Web of Science	WOS:000833033400006