Élvio R Quintal Gouveia1,2, Bruna R Gouveia3,4, Andreas Ihle3,5,6, Matthias Kliegel3,5,6, José A Maia7, Sergi Bermudez I Badia8, Duarte L Freitas9,10. 1. Department of Physical Education and Sport, University of Madeira, Campus Universitário da Penteada, 9000-390, Funchal, Portugal. erubiog@uma.pt. 2. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. erubiog@uma.pt. 3. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. 4. Saint Joseph of Cluny Higher School of Nursing, Funchal, Portugal. 5. Swiss National Center of Competences in Research LIVES-Overcoming Vulnerability: Life Course Perspectives, Geneva, Switzerland. 6. Department of Psychology, University of Geneva, Geneva, Switzerland. 7. CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal. 8. Exact Sciences and Engineering Faculty and Madeira Interactive Technologies Institute, University of Madeira, Funchal, Portugal. 9. Department of Physical Education and Sport, University of Madeira, Campus Universitário da Penteada, 9000-390, Funchal, Portugal. 10. Department of Mathematical Sciences, University of Essex, Colchester, UK.
Abstract
PURPOSE: This study aimed (1) to examine the role of potential correlates of HRQoL in a large representative sample of older adults, and (2) to investigate whether the relationships between HRQoL and potential factors differ as a function of HRQoL component (physical vs. mental) and/or age cohort (young-old vs. old-old). METHODS: This cross-sectional study included 802 older adults aged 60-79 years old. HRQoL was assessed using the SF-36 questionnaire. Functional fitness was assessed using the Senior Fitness Test. Physical activity was measured via the Baecke questionnaire. Demographic information, mental and health features were obtained through questionnaires. RESULTS: A multiple regression analysis showed that BMI (β = -0.15, p = 0.001), body strength (β = 0.21, p < 0.001), aerobic endurance (β = 0.29, p < 0.001), physical activity (β = 0.11, p = 0.007), depressive symptoms (β = -0.19, p < 0.001), falls (β = -0.19, p < 0.001), and living alone (β = -0.16, p < 0.001) were all significantly related to HRQoL-SF-36 total score. The positive relation with aerobic endurance was significantly higher for the physical component of HRQoL, while the negative relation with living alone was significantly higher for the mental component. The positive relation of HRQoL with physical activity was significantly higher in old-old compared to young-old adults. CONCLUSION: This data suggest that body composition, functional fitness, psycho-social factors, and falls are important correlates of HRQoL in old age. There are HRQoL-component and age-cohort differences regarding these correlates, underlying the need for specific strategies at the community level to promote HRQoL in older adults.
PURPOSE: This study aimed (1) to examine the role of potential correlates of HRQoL in a large representative sample of older adults, and (2) to investigate whether the relationships between HRQoL and potential factors differ as a function of HRQoL component (physical vs. mental) and/or age cohort (young-old vs. old-old). METHODS: This cross-sectional study included 802 older adults aged 60-79 years old. HRQoL was assessed using the SF-36 questionnaire. Functional fitness was assessed using the Senior Fitness Test. Physical activity was measured via the Baecke questionnaire. Demographic information, mental and health features were obtained through questionnaires. RESULTS: A multiple regression analysis showed that BMI (β = -0.15, p = 0.001), body strength (β = 0.21, p < 0.001), aerobic endurance (β = 0.29, p < 0.001), physical activity (β = 0.11, p = 0.007), depressive symptoms (β = -0.19, p < 0.001), falls (β = -0.19, p < 0.001), and living alone (β = -0.16, p < 0.001) were all significantly related to HRQoL-SF-36 total score. The positive relation with aerobic endurance was significantly higher for the physical component of HRQoL, while the negative relation with living alone was significantly higher for the mental component. The positive relation of HRQoL with physical activity was significantly higher in old-old compared to young-old adults. CONCLUSION: This data suggest that body composition, functional fitness, psycho-social factors, and falls are important correlates of HRQoL in old age. There are HRQoL-component and age-cohort differences regarding these correlates, underlying the need for specific strategies at the community level to promote HRQoL in older adults.
Entities:
Keywords:
Functional fitness; Health; Lifestyle; Old age; Quality of life
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