Differences among sociodemographic variables, physical fitness levels and body composition with adherence to regular physical activity in older adults from the EXERNET multicenter study

The aim of this study was to explore the differences among between adherence to physical activity (PA) and sociodemographic variables, body composition, and physical fitness levels in older adults (>65 years). A number of 2712 participants (2086 female; 76.92%) ranging from 65 to 92 years, partic...

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Detalles Bibliográficos
Autores: Jiménez Zazo, Fabio, Romero Blanco, Cristina, Cabanillas Cruz, Esther, Mañas Bote, Asier, Gusí Fuertes, Narcís, Casajús, José Antonio, González Gross, María Marcela, Villa Vicente, Jose Gerardo, Espino Torón, Luis, Ara Royo, Ignacio, Aznar Laín, Susana, Gesteiro, Eva
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/29734
Acceso en línea:http://hdl.handle.net/10578/29734
Access Level:acceso abierto
Palabra clave:Transtheoretical model
Stages of change
Physical fitness
Body composition
Sociodemographic variable
Older adults
Descripción
Sumario:The aim of this study was to explore the differences among between adherence to physical activity (PA) and sociodemographic variables, body composition, and physical fitness levels in older adults (>65 years). A number of 2712 participants (2086 female; 76.92%) ranging from 65 to 92 years, participated in the study. Stages of change (SoC) for PA from the transtheoretical model of change (TTM), together with different sociodemographic variables, physical fitness tests (Senior Fitness Test), and waist and hip circumferences were evaluated. Significant differences were found in age, gender, educational level, current income, physical fitness test, and body composition (all of them, p < 0.05), according to the different SoC. Greater adherence to PA practice (action and maintenance stages) was related to better academic level, higher economic income, the male gender, better results in the physical fitness test, and healthier anthropometrics perimeters. Future research is needed to identify the relationship between these variables longitudinally.

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