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Background and Purpose: Studies indicate that age is associated with deterioration in physical function and a concomitant decrease in health-related quality of life (HRQL). The contribution of physical function to HRQL in nonagenarians (ages 90-99) is unknown. The purposes of this study were to examine age-related changes in physical function and HRQL among community-dwelling nonagenarians and to determine the relationship between their physical function and HRQL., Methods: Seventy-four community-dwelling nonagenarians participated. The Continuous Scale Physical Function Performance Test-10 (CS-PFP10) was used to measure their physical function and the Short Form (SF)-36 was used to measure their HRQL. Pearson correlations were used to assess associations among age, physical function, and HRQL scores., Results: Age was inversely associated with the upper body flexibility (r = -.365, p = .001) subscale of the CS-PFP10, but not significantly associated with any other physical function or HRQL score. Significant associations between physical function and HRQL were limited to those between upper body flexibility and the physical function subscale (r = .424, p < .001) and physical function component summary score (r = .376, p = .001) of the SF-36., Conclusion: These data suggest that upper body flexibility continues to decline during the 10th decade of life and has implications for influence on aspects of HRQL in this segment of the population.

We examined the measurement properties of fall-related psychological instruments with a sample of 133 older adults (M age = 74.4 years, SD = 9.4). Measures included the Comprehensive Falls Risk Screening Instrument, Falls-efficacy Scale-International (FES-I), Activities-specific Balance Confidence (ABC), modified Survey of Activities and Fear of Falling in the Elderly (mSAFFE), Consequences of Falling (CoF), Physical Activity Scale for the Elderly (PASE), and 36-Item Short-Form Health Survey (SF-36). The FES-I, ABC, mSAFFE, and CoF were significantly correlated with each other, with SF-36, and with mobility. The ABC and mSAFFE were significantly correlated with PASE. The ABC differentiated between fallers and nonfallers and predicted total falls risk. Findings can assist with the selection of psychological instruments in a falls risk screening context. [ABSTRACT FROM AUTHOR]

Annually, one in three older adults experiences a fall. Falls can lead to death, disability, and/or decreased health-related quality of life (HRQL). Objectives: To validate the Comprehensive Falls Risk Screening Instrument (CFRSI). Methods: Data were collected on 286 older adults ( M age in years = 74.2 ± 10.0). The CFRSI total falls risk score was compared to subscale scores, the Physical Activity Scale for the Elderly (PASE), the Functional Status Index (FSI), and HRQL (SF-36, PCS, and Mental Component Summary (MCS)) scores. Results: The total CFRSI falls risk score was associated with all subscales ( r = 0.25, p < 0.01 to r = 0.69, p < 0.01), PASE ( r = −0.30, p < 0.01), FSI ( r = 0.30, p < 0.01), and SF-36 PCS and MCS scores ( r = −0.44, p < 0.01 to r = −0.24, p = 0.03, respectively). Fallers ( n = 90) had a higher total falls risk score ( M = 41.03 ± 9.38) than nonfallers ( n = 188, M = 34.06 ± 10.05, t [276] = 5.53, p < 0.001). The most important predictor of falling status was only the history risk score ( r = 0.96). Strong association of variables supports the construct validation of the CFRSI. The CFRSI is a valid comprehensive measure of falls risk that allows for identification of older adults who are at risk for falls and the specific areas that should be targeted for falls prevention. [ABSTRACT FROM AUTHOR]

Background. Functional dependence and the risks of disability increase with age. The loss of independence is thought to be partially due to a decrease in physical activity. However, in populations, accurate measurement of physical activity is challenging and may not provide information on functional impairment. Methods. This study therefore assessed physical functionality and physical activity level in a group of nonagenarians (11 men/11 women; 93 ± 1 years, 66.6 ± 2.4 kg, body mass index [BMI] = 24 ± 1 kg/m²) and a group of participants aged 60-74 years (17 men/15 women; 70 ± 1 years, 83.3 ± 3.0 kg, BMI = 29 ± 1 kg/m²) from the Louisiana Healthy Aging Study. Physical activity level was calculated from total energy expenditure (TEE) and resting metabolic rate (RMR). Physical functionality was assessed using the Reduced Continuous Scale Physical Functional Performance Test (CS-PFP10). Results. Nonagenarians had lower absolute (p < .001) and adjusted (p < .007) TEE compared to participants aged 60-74 years which was attributed to a reduction in both RMR and physical activity level. Nonagenarians also had reduced functional performance (p < .001) which was correlated with activity level (r= 0.68, p < .001). Conclusions. When compared to individuals aged 60-74 years, 73% of the reduction in TEE in nonagenarians can be attributed to a reduction in physical activity level, the remaining being accounted for by a reduction in RMR. The reduced physical activity in nonagenarians is associated with less physical functionality. This study provides the first objective comparison of physical functionality and actual levels of physical activity in older individuals. [ABSTRACT FROM AUTHOR]