O López-Torres1,2, B Del Pozo-Cruz3, B Maroto-Sánchez4, S Vila-Maldonado5,6, A Gómez-Cabello6,7,8,9,10, M Martín-García5, A González-Agüero8,9,10,11, N Gusi6,12, L Espino6,13, J A Casajús8,9,10, M González-Gross4,10, I Ara5,6, R Pedrero-Chamizo4. 1. ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain. olga.lopez@upm.es. 2. Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, c/Martín Fierro 7, 28040, Madrid, Spain. olga.lopez@upm.es. 3. Motivation and Behaviour Program, Institute for Positive Psychology and Education, Australian Catholic University, Sydney, Australia. 4. ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain. 5. GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Toledo, Spain. 6. CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain. 7. Centro Universitario de la Defensa, Zaragoza, Spain. 8. GENUD (Growth, Exercise, Nutrition and Development) Research Group, Universidad de Zaragoza, Zaragoza, Spain. 9. Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain. 10. CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain. 11. Faculty of Health and Sport Science (FCSD), Department of Physiatry and Nursing, Universidad de Zaragoza, Huesca, Spain. 12. Universidad de Extremadura, Cáceres, Spain. 13. Unidad de Medicina del Deporte, Cabildo de Gran Canaria, Gran Canarias, Spain.
Abstract
OBJECTIVE: To assess the relationship between fitness levels and components, sitting time and health-related quality of life (HRQoL), over time among community-dwelling older adults. METHODS: Three different sitting trajectories were calculated: (i) no change; (ii) decrease; and (iii) increase in ST, between baseline and follow-up. Fitness was assessed using the aerobic capacity, upper and lower limb strength, and total fitness. Participants were classified into higher (75th percentile or above) or lower (below 75th percentile) fitness levels, using the fitness tests. HRQoL scores at follow-up were compared to the three different sitting time trajectories within and across both the higher and the lower fitness groups for each of the three fitness indexes. RESULTS: Greater HRQoL scores were observed in those participants that decreased their ST as compared with those increasing their sitting time over time for participants classified in the lower end of their aerobic capacity or total fitness index. No differences were detected in HRQoL scores in people classified in the higher fitness level group for any of the fitness indexes. Participants that increased or did not change their sitting time and who were classified in the higher fitness end of aerobic capacity and total fitness index self-reported higher HRQoL scores when compared with those in the lower fitness end. CONCLUSION: Increased sitting time over time is associated with poorer HRQoL in older adults. Higher fitness levels could help attenuate the negative impact of sitting over time.
OBJECTIVE: To assess the relationship between fitness levels and components, sitting time and health-related quality of life (HRQoL), over time among community-dwelling older adults. METHODS: Three different sitting trajectories were calculated: (i) no change; (ii) decrease; and (iii) increase in ST, between baseline and follow-up. Fitness was assessed using the aerobic capacity, upper and lower limb strength, and total fitness. Participants were classified into higher (75th percentile or above) or lower (below 75th percentile) fitness levels, using the fitness tests. HRQoL scores at follow-up were compared to the three different sitting time trajectories within and across both the higher and the lower fitness groups for each of the three fitness indexes. RESULTS: Greater HRQoL scores were observed in those participants that decreased their ST as compared with those increasing their sitting time over time for participants classified in the lower end of their aerobic capacity or total fitness index. No differences were detected in HRQoL scores in people classified in the higher fitness level group for any of the fitness indexes. Participants that increased or did not change their sitting time and who were classified in the higher fitness end of aerobic capacity and total fitness index self-reported higher HRQoL scores when compared with those in the lower fitness end. CONCLUSION: Increased sitting time over time is associated with poorer HRQoL in older adults. Higher fitness levels could help attenuate the negative impact of sitting over time.
Entities:
Keywords:
Elderly; Physical condition; Sedentary behavior; Well being
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