Associations between objectively assessed physical activity levels and fitness and self-reported health-related quality of life in community-dwelling older adults
- 559 Downloads
Previous studies investigated the associations between health-related quality of life (HRQoL) and self-reported physical activity (PA) and/or self-reported physical fitness which are not the most reliable methods to assess PA and fitness. Therefore, this study aimed to examine the associations between HRQoL and each of objectively assessed habitual PA and physical fitness.
Eighty-five community-dwelling older adults (60–83 years) completed assessments for PA (counts/min and steps/day using accelerometers), physical fitness (six-minute walk test [6MWT] and hand-grip strength), and self-reported HRQoL (using the eight subscales of the SF-36). In adjusted logistic regression models, the upper quartile was compared against the lower three quartiles of scores on each HRQoL subscale. Results report the odds ratios that were significant in the adjusted models at P < 0.05.
Individuals with higher PA levels assessed by counts/min were more likely to score higher on physical functioning (PF) subscale (OR = 1.90). Individuals with superior 6MWT performance were more likely to score higher on PF (OR = 1.87), role limitations due to physical problems (RP) (OR = 1.95), and vitality (VT) (OR = 1.79). Individuals with superior hand-grip strength were more likely to score higher on RP (OR = 2.37) and VT (OR = 1.83).
Objectively assessed PA and physical fitness measures were positively associated with physical health HRQoL subscales as reported by community-dwelling older adults.
KeywordsOlder adults Physical fitness Perceived health Quality of life
Body mass index
Health-related quality of life
Quality of life
Role limitations due to emotional problems
Role limitations due to physical problems
Medical outcomes study 36-item short-form health study
Maximum oxygen consumption
Six-minute walk test
The authors would like to thank to the volunteers of this study. Without their selfless contribution, this study would not have been possible. Grants from the Portuguese Foundation for Science and Technology (PTDC/DES/108780/2008 and SFRH/BD/33124/2007) supported this research.
- 8.Lorraine, P., Hammock, R., & Blanton, J. (2005). Predictors of self-rated health status among Texas residents. Preventing Chronic Disease, 2(4), 12.Google Scholar
- 9.Bowling, A., et al. (1999). Short Form 36 (SF-36) health survey questionnaire: Which normative data should be used? Comparisons between the norms provided by the omnibus survey in Britain, the health survey for England and the Oxford healthy life survey. J Public Health, 21(3), 255–270.CrossRefGoogle Scholar
- 12.King, A. C., et al. (2000). Comparative effects of two physical activity programs on measured and perceived physical functioning and other health-related quality of life outcomes in older adults. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 55(2), M74–M83.CrossRefGoogle Scholar
- 17.Rikli, R. E., & Jones, C. J. (1998). The reliability and validity of a 6-minute walk test as a measure of physical endurance in older adults. Journal of Aging and Physical Activity, 6(4), 363–375.Google Scholar
- 21.Ferreira, P. L. (1998). A medição do estado de saúde: criação da versão portuguesa do MOS SF-36, in Centro de Estudos e Investigação em Saúde, Faculdade de Economia. Coimbra: Universidade de Coimbra.Google Scholar
- 25.Ware, J. E., et al. (1993). SF-36 health survey: Manual and interpretation guide. Lincoln, RI: QualityMetric Inc.Google Scholar
- 27.Rikli, R. E., & Jones, C. J. (1999). Functional fitness normative scores for community-residing older adults, ages 60–94. Journal of Aging and Physical Activity, 7(2), 162–181.Google Scholar