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Kenneth E. Powell, Abby C. King, David M. Buchner, Wayne W. Campbell, Loretta DiPietro, Kirk I. Erickson, Charles H. Hillman, John M. Jakicic, Kathleen F. Janz, Peter T. Katzmarzyk, William E. Kraus, Richard F. Macko, David X. Marquez, Anne McTiernan, Russell R. Pate, Linda S. Pescatello and Melicia C. Whitt-Glover

) reduced feelings of anxiety and depression in healthy people and in people with existing clinical syndromes, and (4) improved cognitive function across the life span. Regular physical activity improves bone health and weight status in children 3 to <6 years and physical function among older people

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Blair Crewther, Konrad Witek, Paweł Draga, Piotr Zmijewski and Zbigniew Obmiński

measures would be negatively related to initial T levels. As a secondary aim, we investigated other indicators of physical function and blood hematology, but no firm hypotheses were made regarding these outcomes. Methods Subjects A total of 16 male climbers with a mean (± SD ) age of 35.4 ±7.3 years

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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

two separate tests of physical function. All testing was carried out by Canadian Society for Exercise Physiology Certified Exercise Physiologists (CSEP-CEPs), all of whom were blind to the participants’ group allocation. Outcome Measures Physical activity The Physical Activity Scale for the Elderly

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Marlana J. Kohn, Basia Belza, Miruna Petrescu-Prahova, Christina E. Miyawaki and Katherine H. Hohman

This study examined participant demographic and physical function characteristics from EnhanceFitness, an evidence-based physical activity program for older adults. The sample consisted of 19,964 older adults. Participant data included self-reported health and demographic variables, and results for three physical function tests: chair stand, arm curls, and timed up-and-go. Linear regression models compared physical function test results among eight program site types. Participants were, on average, 72 years old, predominantly female, and reported having one chronic condition. Residential site participants’ physical function test results were significantly poorer on chair stand and timed up-and-go measures at baseline, and timed up-and-go at a four-month follow-up compared with the reference group (senior centers) after controlling for demographic variables and site clustering. Evidence-based health-promotion programs offered in community settings should assess demographic, health, and physical function characteristics to best serve participants’ specific needs, and offer classes tailored to participant function and ability while maintaining program fidelity.

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Margaret Delaney, Meghan Warren, Brian Kinslow, Hendrik de Heer and Kathleen Ganley

29,902 participants completed the questionnaires and examinations during the 2011–2016 period. Participants who refused or who had missing data from any survey (including demographics, physical activity, physical function, or other health conditions) were excluded. The present study included

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K. Dillon and Harry Prapavessis

mild to moderate cognitive impairment residing in an AL setting. A secondary purpose was to examine the effectiveness of the intervention on the residents’ cognitive function, physical function, and quality of life (QoL). We hypothesized that there would be high compliance to the prompted bouts of PA

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Lucelia Luna de Melo, Verena Menec, Michelle M. Porter and A. Elizabeth Ready

This study examined the associations between walking behavior and the perceived environment and personal factors among older adults. Sixty participants age 65 yr or older (mean 77 ± 7.27, range 65–92) wore pedometers for 3 consecutive days. Perceived environment was assessed using the Neighborhood Environment Walk-ability Scale (abbreviated version). Physical function was measured using the timed chair-stands test. The mean number of steps per day was 5,289 steps (SD = 4,029). Regression analyses showed a significant association between personal factors, including physical function (relative rate = 1.05, p < .01) and income (RR = 1.43, p < .05) and the average daily number of steps taken. In terms of perceived environment, only access to services was significantly related to walking at the univariate level, an association that remained marginally significant when controlling for personal characteristics. These results suggest that among this sample of older adults, walking behavior was more related to personal and intrinsic physical capabilities than to the perceived environment.

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Cadeyrn J. Gaskin and Tony Morris

The purpose of this research was to investigate the relationships between physical activity, health-related quality of life (HRQL), and psychosocial functioning (mood states, physical self-efficacy, social support) in adults with cerebral palsy (N = 51). The data was heavily skewed, with many participants reporting that they performed minimal physical activity and experienced low levels of physical function, minimal role limitations, high social functioning, low levels of negative mood states, and high social support. With the exception of the correlations between physical activity and physical functioning (ρ = .45), role limitations—physical (ρ = .32), vigor–activity mood state (ρ = .36), and social support from friends (ρ = –.43), there were typically weak associations between physical activity and the subscales of the HRQL and psychosocial functioning measures. These low associations might be the result of the participants’ psychological adaptations to cerebral palsy during their lives.

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Stephen M. Haley, Larry H. Ludlow and Jill T. Kooyoomjian

As a preliminary step in developing the physical-functioning measure of the Late-Life Function and Disability Instrument (LLFDI), the authors compared its items with the physical-functioning items (PF-10) on the SF-36 Health Survey. They compared the item coverage, hierarchy, and scale-separation properties of the PF-10 items with those of the physical-functioning items of the LLFDI. Both questionnaires were administered to 50 community-dwelling older adults. A partial-credit, 1-parameter, item-response-theory model was used to scale the items. The LLFDI improved the range of ability of daily activities that was encompassed by the PF-10 items by 46%. By sequentially deleting new items with poor fit to the overall scale and items with redundant content, the authors developed a scale more capable of accurately assessing low-functioning activities. The LLFDI function component incorporates a broader content range and better person and item separation than the PF-10 items. It appears to have potential as a comprehensive functional-activity assessment for community-dwelling older adults.

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Keith P. Gennuso, Kathryn Zalewski, Susan E. Cashin and Scott J. Strath

Background:

To examine the effectiveness of the American College of Sports Medicine (ACSM) and the American Heart Association (AHA) resistance training (RT) guidelines to improve physical function and functional classification in older adults with reduced physical abilities.

Methods:

Twenty-five at-risk older adults were randomized to a control (CON = 13) or 8-week resistance training intervention arm (RT = 12). Progressive RT included 8 exercises for 1 set of 10 repetitions at a perceived exertion of 5–6 performed twice a week. Individuals were assessed for physical function and functional classification change (low, moderate or high) by the short physical performance battery (SPPB) and muscle strength measures.

Results:

Postintervention, significant differences were found between groups for SPPB—Chair Stand [F(1,22) = 9.14, P < .01, η = .29] and SPPB—Total Score [F(1,22) = 7.40, P < .05, η = .25]. Functional classification was improved as a result of the intervention with 83% of participants in the RT group improving from low to moderate functioning or moderate to high functioning. Strength significantly improved on all exercises in the RT compared with the CON group.

Conclusions:

A RT program congruent with the current ASCM and AHA guidelines is effective to improve overall physical function, functional classification, and muscle strength for older adults with reduced physical abilities.