Age-related changes in physical abilities, such as strength and flexibility, contribute to functional losses. However, older individuals may be unaware of what specific physical abilities compromise independent functioning. Three groups of women, aged 60 to 69, 70 to 79, and 80 to 92 years, were administered the Senior Fitness Test (SFT) to determine age differences in physical abilities and risk for functional losses. The oldest group showed significant differences in lower body strength, aerobic endurance, and agility and dynamic balance when compared with the other groups who performed similarly. Across all groups, a faster rate of decline was found for lower body strength (50.6%) and dynamic balance and agility (45.7%) than upper body strength (21.3%) and aerobic endurance (33.6%). Criterion-referenced (CR) fitness standards suggested that 45% of the individuals were at risk for loss of independent functioning. This study highlights age-related differences in physical abilities and the risk for the loss of independence in later life.
Diane E. Adamo, Susan Ann Talley and Allon Goldberg
Vera Ramos, Eliana V. Carraça, Teresa Paiva and Fátima Baptista
assistance ), which gives a final result that characterizes the level of functioning. Higher results mean higher levels of physical functioning. Physical fitness Physical fitness was evaluated with the Senior Fitness Test battery ( Rikli & Jones, 1999 ). The Senior Fitness Test is a battery that includes
Élvio R. Gouveia, José A. Maia, Gaston P. Beunen, Cameron J. Blimkie, Ercília M. Fena and Duarte L. Freitas
The purposes of this study were to generate functional-fitness norms for Portuguese older adults, to determine age and sex differences, and to analyze the physical activity–associated variation in functional fitness. The sample was composed of 802 older adults, 401 men and 401 women, age 60–79 yr. Functional fitness was assessed using the Senior Fitness Test. Physical activity level was estimated via the Baecke questionnaire. The P50 values decreased from 60 to 64 to 75 to 79 yr of age. A significant main effect for age group was found in all functional-fitness tests. Men scored significantly better than women in the chair stand, 8-ft up-and-go, and 6-min walk. Women scored significantly better than men in chair sit-and-reach and back scratch. Active participants scored better in functional-fitness tests than their average and nonactive peers. This study showed a decline in functional fitness with age, better performance of men, and increased proficiency in active participants.
Koren L. Fisher, Bruce A. Reeder, Elizabeth L. Harrison, Brenda G. Bruner, Nigel L. Ashworth, Punam Pahwa, Nazmi Sari, M. Suzanne Sheppard, Christopher A. Shields and Karen E. Chad
article off the floor, turning 360°, and putting on a jacket. Scores are calculated based on a point system, and item scores are then summed to provide a total score out of a possible 36 points, with higher scores reflective of better physical performance. Senior fitness test Rikli and Jones’ senior
Katie J. Thralls and Susan S. Levy
-Figuls, Coll-Planas, Sitia-Rabert, & Salva, 2014 ). Rikli and Jones ( 1999 ) developed Senior Fitness Tests (SFT) that are validated, objective measures of physical functions needed for ADLs. Recently, criterion-referenced fitness standards for maintenance of physical independence for each SFT of physical
Inès Boukabous, Alexis Marcotte-Chénard, Taha Amamou, Pierre Boulay, Martin Brochu, Daniel Tessier, Isabelle Dionne and Eléonor Riesco
fitness test) the same day than maximal aerobic capacity (VO 2 peak) may have an impact on performance recorded. However, functional capacity testing was performed to a similar manner before and after the intervention. Finally, the exercise-associated affective response was measured only before and after
NiCole R. Keith, Daniel O. Clark, Timothy E. Stump, Douglas K. Miller and Christopher M. Callahan
An accurate physical fitness survey could be useful in research and clinical care.
To estimate the validity and reliability of a Self-Reported Fitness (SRFit) survey; an instrument that estimates muscular fitness, flexibility, cardiovascular endurance, BMI, and body composition (BC) in adults ≥ 40 years of age.
201 participants completed the SF-36 Physical Function Subscale, International Physical Activity Questionnaire (IPAQ), Older Adults’ Desire for Physical Competence Scale (Rejeski), the SRFit survey, and the Rikli and Jones Senior Fitness Test. BC, height and weight were measured. SRFit survey items described BC, BMI, and Senior Fitness Test movements. Correlations between the Senior Fitness Test and the SRFit survey assessed concurrent validity. Cronbach’s Alpha measured internal consistency within each SRFit domain. SRFit domain scores were compared with SF-36, IPAQ, and Rejeski survey scores to assess construct validity. Intraclass correlations evaluated test-retest reliability.
Correlations between SRFit and the Senior Fitness Test domains ranged from 0.35 to 0.79. Cronbach’s Alpha scores were .75 to .85. Correlations between SRFit and other survey scores were –0.23 to 0.72 and in the expected direction. Intraclass correlation coefficients were 0.79 to 0.93. All P-values were 0.001.
Initial evaluation supports the SRFit survey’s validity and reliability.
Pauline Maillot, Alexandra Perrot, Alan Hartley and Manh-Cuong Do
The purposes of this present research were, in the first study, to determine whether age impacts a measure of postural control (the braking force in walking) and, in a second study, to determine whether exergame training in physically-simulated sport activity would show transfer, increasing the braking force in walking and also improving balance assessed by clinical measures, functional fitness, and health-related quality of life in older adults. For the second study, the authors developed an active video game training program (using the Wii system) with a pretest-training-posttest design comparing an experimental group (24 1-hr sessions of training) with a control group. Participants completed a battery comprising balance (braking force in short and normal step conditions), functional fitness (Senior Fitness Test), and health-related quality of life (SF-36). Results show that 12 weeks of video game-based exercise program training improved the braking force in the normal step condition, along with the functional fitness of lower limb strength, cardiovascular endurance, and motor agility, as measured by the Senior Fitness Test. Only the global mental dimension of the SF-36 was sensitive to exergame practice. Exergames appear to be an effective way to train postural control in older adults. Because of the multimodal nature of the activity, exergames provide an effective tool for remediation of age-related problems.
Pamela E. Toto, Ketki D. Raina, Margo B. Holm, Elizabeth A. Schlenk, Elaine N. Rubinstein and Joan C. Rogers
This single-group repeated-measures pilot study evaluated the effects of a 10-wk, multicomponent, best-practice exercise program on physical activity, performance of activities of daily living (ADLs), physical performance, and depression in community-dwelling older adults from low-income households (N = 15). Comparison of pretest and posttest scores using a one-tailed paired-samples t test showed improvement (p < .05) for 2 of 3 ADL domains on the Activity Measure–Post Acute Care and for 6 physical-performance measures of the Senior Fitness Test. Repeated-measures ANOVA revealed significant main effects for 3 of 8 physical activity measures using the Yale Physical Activity Scale. Retention rate was 78.9%, and the adherence rate for group sessions was 89.7%. Results suggest that participation in a multicomponent, best-practice physical activity program may positively affect sedentary, community-dwelling older adults’ physical activity, ADL performance, and physical performance.
Therese Brovold, Dawn A. Skelton, Hilde Sylliaas, Morten Mowe and Astrid Bergland
The purpose of this study was to determine the relationship among health-related quality of life (HRQOL), physical fitness, and physical activity in older patients after recent discharge from hospital. One hundred fifteen independent-living older adults (ages 70–92 years) were included. HRQOL (Medical Outcomes Study 36-item Short Form Health Survey), physical activity (Physical Activity Scale for the Elderly), and physical fitness (Senior Fitness Test) were measured 2–4 weeks after discharge. Higher levels of physical activity and physical fitness were correlated with higher self-reported HRQOL. Although cause and effect cannot be determined from this study, the results suggest that a particular focus on the value of physical activity and physical fitness while in hospital and when discharged from hospital may be important to encourage patients to actively preserve independence and HRQOL. It may be especially important to target those with lower levels of physical activity, poorer physical fitness, and multiple comorbidities.