Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis
Primer Autor |
Roman Mella, Francisca
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Co-autores |
Salazar-Fernandez, Camila
Mawditt, Claire
Palet, Daniela
Haeger, Paola A.
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Título |
Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis
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Editorial |
BMC
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Revista |
BMC PUBLIC HEALTH
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Lenguaje |
en
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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.
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Tipo de Recurso |
artículo original
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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.
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doi |
10.1186/s12889-022-13854-x
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Formato Recurso |
PDF
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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
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Ubicación del archivo | |
Categoría OCDE |
Salud pública
ambiental y ocupacional
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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
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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
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Identificador del recurso (Mandatado-único) |
artículo original
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Versión del recurso (Recomendado-único) |
version publicada
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License |
CC BY 4.0
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Condición de la licencia (Recomendado-repetible) |
CC BY 4.0
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Derechos de acceso |
acceso abierto
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Access Rights |
acceso abierto
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Referencia del Financiador (Mandatado si es aplicable-repetible) |
ANID COVID028
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Id de Web of Science |
WOS:000833033400006
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