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Outcomes of a Multicomponent Physical Activity Program for Sedentary, Community-Dwelling Older Adults

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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). Compari-son 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 physi-cal 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. Participation in physical activity is an evidence-based strategy for improving health in older adults (Fiatarone et al., 1994; Warburton, Nicol, & Bredin, 2006). Despite the evidence, only a small percentage of older adults engage in sufficient levels of physical activity and exercise (Kruger, Carlson, & Buchner, 2007). Com-monly cited barriers to engagement in physical activity by older adults include low socioeconomic status, poor health, the necessary time commitment, unsupportive physical environments, and preconceived negative notions regarding the concept of exercise (Boyette et al., 2002; Mathews et al., 2010; Schutzer & Graves, 2004). Even when barriers such as cost, transportation, access to equipment, and medical clearance for health conditions, are removed, however, long-term adherence rates to sustain increased activity levels in older adults are still often poor (Brawley, Rejeski, & King, 2003; Chao, Foy, & Farmer, 2000).
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363
Journal of Aging and Physical Activity, 2012, 20, 363-378
© 2012 Human Kinetics, Inc.
Toto, Raina, Holm, and Rogers are with the Dept. of Occupational Therapy; Schlenk, the School of
Nursing; and Rubinstein, the Ofce of Measurement and Evaluation of Teaching, University of Pitts-
burgh, Pittsburgh, PA
Outcomes of a Multicomponent
Physical Activity Program for Sedentary,
Community-Dwelling Older Adults
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). Compari-
son 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 signicant main effects for 3 of 8 physi-
cal 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.
Keywords: aging, physical activity, best practices
Participation in physical activity is an evidence-based strategy for improving
health in older adults (Fiatarone et al., 1994; Warburton, Nicol, & Bredin, 2006).
Despite the evidence, only a small percentage of older adults engage in sufcient
levels of physical activity and exercise (Kruger, Carlson, & Buchner, 2007). Com-
monly cited barriers to engagement in physical activity by older adults include low
socioeconomic status, poor health, the necessary time commitment, unsupportive
physical environments, and preconceived negative notions regarding the concept
of exercise (Boyette et al., 2002; Mathews et al., 2010; Schutzer & Graves, 2004).
Even when barriers such as cost, transportation, access to equipment, and medical
clearance for health conditions, are removed, however, long-term adherence rates
to sustain increased activity levels in older adults are still often poor (Brawley,
Rejeski, & King, 2003; Chao, Foy, & Farmer, 2000).
364 Toto et al.
Best-practice position statements from the American College of Sports Medi-
cine (ACSM, 2004; ACSM et al., 2009; Garber et al., 2011), recommendations
from the American Heart Association (Nelson et al., 2007), and physical activity
guidelines from the U.S. Department of Health and Human Services (2008) were
formulated to help address this pressing issue. These documents recommend that
older adults regularly engage in multicomponent physical activity programs that
include exercise targeting endurance, strength, exibility, and balance for those with
mobility problems or at risk for falls. The ACSM suggests group-based programs
over individual programs and the incorporation of behavioral-change principles as
critical elements for initiating and maintaining physical activity in older adults. In
addition to the development of these guidelines, the ACSM has collaborated with
several other professional organizations to create and endorse an Active Aging
Toolkit. Developed to help health care providers promote the benets of physical
activity, this tool kit includes a scientically based, low-cost, progressive, multi-
component exercise program called the First Step to Active Health (FSAH; Human
Kinetics, n.d.; Page et al., 2004).
Currently, there is no gold standard for determining the effectiveness of multi-
component exercise and physical activity programs for older adults. Improvement
in function is a commonly used rationale for increasing physical activity levels
in older adults, but the term function is broadly interpreted (Fisher, 1992; Jette
& Haley, 2005). Function is most frequently measured by physical-performance
factors such as range of motion and strength, leaving a gap in understanding the
direct impact of exercise and physical activity on life participation and engagement
in activities of daily living (ADLs; ACSM et al., 2009; Keysor & Brembs, 2011;
Keysor & Jette, 2001). ADLs are activities that enable people to meet their self-care
needs and that support daily life in the home and community (Roley et al., 2008).
ADL performance is acknowledged as a critical measure of function, providing
justication of disability status, affecting health care reimbursement, and serving as
a primary determinant of long-term-care placement (Coster et al., 2004; Guralnik,
Fried, & Salive, 1996; Leveille, Fried, McMullen, & Guralnik, 2004; Phelan, Wil-
liams, Pennix, LoGerfo, & Leveille, 2004), yet activity measures examining ADL
function are rarely included in multicomponent exercise and physical activity studies
(Keysor & Jette, 2001; Zalewski, Smith, Malzhan, VanHart, & O’Connell, 2009).
Despite guidelines, tool kits, and programs like the FSAH supporting the use of
multicomponent exercise interventions for health promotion and disability preven-
tion, research addressing group-based, multicomponent physical activity interven-
tions with a community-dwelling, older adult population is limited (Baker et al.,
2007; Belza et al., 2006; Binder et al., 2002; Carvalho, Marques, Soares, & Mota,
2010; Fahlman, Topp, McNevin, Morgan, & Boardley, 2007; Hughes, Seymour,
Campbell, Whitelaw, & Bazzarre, 2009; LIFE Study Investigators et al., 2006; Lord
et al., 2003; Moore-Harrison, Johnson, Quinn, & Cress, 2009; Opdenacker, Boen,
Coorevits, & Delecluse, 2008; Resnick, Luisi, & Vogel, 2008; Toraman, Erman, &
Agyar, 2004; Van Roie et al., 2010; Wallace et al., 1998; Worm et al., 2001; Yan,
Wilbur, Aguirre, & Trejo, 2009). In addition, a search for studies using the FSAH
intervention with a well older adult population yielded only one published abstract
(Page, Boardley, & Topp, 2006). These studies varied widely in number and type
of outcome measures, setting, mode of exercise delivery, duration, sample size, and
effectiveness. Few interventions were designed to minimize common barriers or to
Multicomponent Physical Activity Program 365
include behavioral-change strategies. The studies attempted to measure change in
health and functioning as a result of their intervention, yet only one study addressed
function through a direct measurement of ADL performance (Binder et al., 2002).
Such factors make it difcult to generalize the ndings and provide little informa-
tion to help understand how exercise and physical activity affect participation in
daily life. Recommended physical activity programs such as the FSAH have little
to no published evidence supporting their endorsement.
This study addressed some of these gaps and limitations in evidence through
an intervention that has all the recommended components of best practice and by
including ADL performance as a functional outcome. Our aim was to evaluate the
effect of participation in a multicomponent best-practice exercise and physical
activity program (FSAH) by sedentary, community-dwelling older adults from
low-income households on their physical activity, ADL performance, physical
performance, and depression.
Method
Using a single-group repeated-measures design, this pilot study was conducted to
examine the effect of participation in a group-based, multicomponent exercise and
physical activity program using the FSAH with sedentary, community-dwelling
older adults from low-income households.
Participants
The trial was conducted at a large, low-income, senior public-housing apartment
building in the suburbs of Pittsburgh, PA. Although primarily a senior living
residence, this public-housing facility also accepts adults of all ages who are dis-
abled. We targeted older adults from low-income households because those of low
socioeconomic status are even less likely to be engaged in regular exercise than
the general older adult population (Boyette et al., 2002). Demographics for this
facility indicated a population that is 99% White, with an approximate 3:1 ratio of
women to men consistent with this age cohort. Participant inclusion criteria were
permanent residency in the senior apartment building, age 60 years or older, able
to ambulate independently (with or without an assistive device), no signicant
cognitive impairment (score of 5 on the 6-Item Screener; Callahan, Unverzagt,
Hui, Perkins, & Hendrie, 2002), and reported low levels of physical activity as
measured by the Rapid Assessment of Physical Activity (scores of 1, 2, or 3 for the
aerobic section and a score of 0 on the strength and exibility sections; Topolski
et al., 2006). Exclusion criteria were recent hospitalization (6 months or less);
reported current participation in a skilled physical therapy or occupational therapy
rehabilitation program; current participation in a formal exercise program; lack of
medical clearance, as needed; or presence of a health condition for which exercise
is contraindicated (ACSM, 1998). The University of Pittsburgh institutional review
board approved this study, which included ethical approval and a waiver of written
informed consent to screen cognition, physical activity, and need for medical clear-
ance through use of the Exercise and Screening for You screening test (EASY). All
interested residents who met the criteria completed the EASY (Resnick, Ory, et
al., 2008), a 6-item screening tool to identify individuals who might be at risk for
366 Toto et al.
adverse events if they participated in an exercise program. Those who did not pass
all items on the EASY were required to obtain physician approval before entering
the study. Eligible participants provided written, informed consent.
Intervention
The intervention followed the exercise and physical activity guidelines of the FSAH
program. The FSAH was selected for use because of its low-cost design, incorpora-
tion of self-efcacy-enhancing activities, and inclusion of self-assessment and goal-
setting features linking the exercise program to ADL participation. The 10-week
intervention was conducted in the senior apartment building and included group
exercise sessions and a home exercise program. Group sessions incorporated key
strategies for increasing self-efcacy, including mastery experience/performance,
vicarious learning, verbal encouragement/persuasion, and awareness of normal
physiological response through an understanding of normal responses to physical
activity and self-monitoring (Bandura & Cervone, 1983; Resnick, Luisi, & Vogel,
2008). Participants met for 60-min group sessions twice per week in a private room
on the main oor of their building. They received a FSAH kit (Hygenic Corp., Akron,
OH), which provided written instructions on how to begin and sustain endurance,
strength, exibility, and balance exercises; exercise hints and safety reminders; an
exercise log; a medium-resistance exercise band; and a home exercise program with
photographs of all exercises included in the group intervention. Group sessions
were planned and supervised by an occupational therapist with national certica-
tions in gerontology and group exercise. Participants were trained to self-monitor
their performance of endurance and strengthening exercises using Borg’s Rating of
Perceived Exertion scale (Borg, 1998), with a goal of moderate exertion of 12–13
on a scale ranging from 6 to 20 (Borg, 1998; Centers for Disease Control, n.d.).
Following is a description of session activities.
Preexercise Discussion Topics
• Self-assessmentsurveytoidentifyADL-relatedgoals
• Physicalandpsychologicalbenetsofregularexerciseandphysicalactivity
• Strategiesforexercisingsafely
• Solutionsforbarrierstoexercising
Exercise Protocol
• Endurance:5-to10-mincardiovascularwarm-up
• Strength:11upperbodyandlowerbodyexercisesusingaresistanceband
• Balance:6exercisescompletedwithsupportofachair
• Flexibility:8exercisesascooldown
Postexercise Discussion
• Positivefeedbackandpraise
• Strategiesforincorporatingphysicalactivityintodailyroutine
• Examplesofimprovementindailyactivities
• Celebrationandgiveaways
Multicomponent Physical Activity Program 367
Over the 10-week intervention, progress was realized through increased dura-
tion, increased repetitions, increased resistance, and/or increased difculty (e.g.,
transition from sitting to standing to complete exercises). Exercise modications
such as reduced duration, reduced number of repetitions, or use of an exercise band
of less resistance were recommended as needed by the group instructor for indi-
viduals experiencing difculty completing a specic exercise. The home exercise
program was initiated after the end of the second group session. Participants were
instructed to perform the exercise protocol a minimum of once per week.
Treatment Fidelity
Observations by an external reviewer conrmed that the intervention protocol
during group sessions matched that of the FSAH program manual at Weeks 2, 6,
and 10. This same external reviewer also observed completion of the home exercise
program for a randomly chosen participant during Weeks 6 and 10.
Measures
Four outcome measures—three self-report tools and one observation-based tool—
were used to evaluate effectiveness of the intervention. All measures demonstrate
moderate to strong validity and reliability. The Yale Physical Activity Survey (YPAS)
is a self-report physical activity questionnaire that quanties activity levels for
select housework, yard work, caregiving, exercise, and recreational activities in a
typical week over the past month (DiPietro, Caspersen, Ostfeld, & Nadel, 1993).
When compared with other self-report physical activity measures developed for
older adults, the YPAS was the most sensitive in measuring overall levels of physi-
cal activity and includes more daily tasks in which older adults regularly engage
(Resnick, King, Riebe, & Ory, 2008).
The Activity Measure–Post Acute Care (AM-PAC) is a measure of activity
limitations (Boston University, 2007; Haley, Andres, et al., 2004). This self-report
tool allows for the examination of perceived difculty and level of assistance/
limitations in three domains—basic mobility, daily activity, and applied cognition
(Boston University, 2007; Haley, Coster, et al., 2004).
Physical performance was assessed using the Senior Fitness Test (SFT), a
battery of six observation-based measures to evaluate upper body and lower body
strength and exibility, balance, and cardiorespiratory tness (Rikli & Jones, 1999,
2001). The SFT has published performance results for reference by age and gender
(Rikli & Jones, 2001).
Depression was evaluated using the 15-item version of the Geriatric Depression
Scale (GDS; Sheikh & Yesavage, 1986). The short-form GDS demonstrates good
sensitivity and specicity for use with cognitively intact adults compared with the
longer version of the GDS and other measures of depression (Brown, Woods, &
Storandt, 2007; Burke, Roccaforte, & Wengel, 1991).
Procedures
Participants were recruited through a free health and wellness seminar offered
onsite and through study advertisements hand delivered to each apartment and
368 Toto et al.
posted in multiple locations in the building. At pretest, the demographic and
medical questionnaires were administered rst, followed by the four outcome
measures, which were administered in random order. All measures were admin-
istered by trained assessors who were independent of the intervention. After the
pretest assessments, participants engaged in a 10-week intervention. Attendance
was recorded for each group session, and adherence to the home program was
recorded weekly through self-report. Posttesting was completed for the SFT,
AM-PAC, and GDS immediately after completion of the intervention. The YPAS
was administered 4 and 8 weeks postintervention (see Figure 1). This delay was
to avoid bias regarding skewed levels of activity associated with the interven-
tion. The YPAS instructions require respondents to consider activity levels for
a typical week during the preceding month. Measures taken immediately after
completion of the intervention would have been contaminated by participation
in the intervention.
Figure 1 — Flow of participants. SFT = Senior Fitness Test; AM-PAC = Activity Measure–
Post Acute Care; GDS = Geriatric Depression Scale; YPAS = Yale Physical Activity Scale.
Multicomponent Physical Activity Program 369
Data Analysis
The criterion for signicance (alpha) was set at .05. Because of the study design,
the use of measures that yield quantitative data, and the expectation that participants
would improve as a result of the intervention, a one-tailed paired-samples t test was
completed for the SFT, AM-PAC, and GDS pretest/posttest measures. To estimate
the magnitude of the change between pretest and posttest scores, effect sizes for
paired-samples t tests were reported using Cohen’s d values, ranging from small (d
= .20) to medium (d ~ .50) to large (d = .80; Cohen, 1988). YPAS scores at pretest,
posttest, and postposttest were compared using a repeated-measures analysis of
variance (ANOVA). Effect sizes for the repeated-measures ANOVA were reported
as partial eta-squared. As effect size scores for partial eta-squared and eta-squared
are identical in a repeated-measures ANOVA that includes only a single factor,
interpretation for strength of these values were small (ηp2 = .01), medium (ηp2 =
.06), and large (ηp2 = .14; Cohen, 1988). Descriptive statistics, inferential statistics,
and effect sizes were computed using SPSS for Windows Version 17.
Results
Of the 200 housing units in the apartment building, 30 residents attended the health
and wellness seminar, with 27 interested in the study. Three residents who did not
attend the seminar responded to the recruitment advertisement. Of the 30 potential
participants screened, 19 (63.3%) met the inclusion criteria. Age, recent hospitaliza-
tion, and active participation in a physical therapy program were the reasons for
ineligibility. Medical clearance, as per results of the EASY screen, was required
and received for 2 of the eligible volunteers. Fifteen participants completed the
intervention and posttest, but only 14 completed the YPAS postposttest because 1
was on vacation. Three participants withdrew because of health issues unrelated
to the intervention, and 1 became unavailable before pretesting due to unforeseen
caregiving responsibilities. Although the study was open to both genders, the
intervention group was 100% women. They had a mean educational level of 11.5
years and were generally in good health, with degenerative joint disease being
the most commonly cited medical condition (see Table 1). Although participants
acknowledged occasional fatigue and muscle soreness, none reported any injury,
exacerbation of a chronic condition, or other adverse event due to study participation.
Program adherence for group sessions was 89.7% for those who completed
the entire intervention. Adherence for completion of the home program was 78.5%.
Results of a one-tailed paired-samples t test comparing pretest and posttest scores (N
= 15) for the SFT, the AM-PAC, and the GDS are presented in Table 2. Signicant
change was found for all six measures of the SFT. When compared with normative
data specic to age and gender, pretest scores on the SFT were very low, ranging
from the 20th percentile for the arm-curl test to below the fth percentile for the
2-min step test and the 8 ft. up-and-go. Posttest scores demonstrated an average
gain of 20% compared with age and gender norms. The AM-PAC scores indicated
signicant improvement for daily activities and applied cognition. Although change
in the basic mobility domain of the AM-PAC did not reach statistical signicance,
scores did suggest improvement. No change was observed in the GDS scores for
depression. Large effect sizes (Cohen’s d) were found for ve outcome scores on
the SFT and two AM-PAC measures.
370370
Table 1 Demographic Variables and Health
Characteristics of Participants, N = 15
Characteristic
Age in years 78.1 (8.0)
Gender female, n (%) 15 (100.0)
Race/Ethnicity White, n (%) 15 (100.0)
Marital status, n (%)
married 2 (13.3)
widowed 11 (73.3)
divorced 2 (13.3)
Education in years M (SD) 11.5 (1.2)
Medical history, n (%)
cardiovascular disease 3 (20.0)
degenerative joint disease 10 (66.7)
hypertension 9 (60.0)
low back pain 5 (33.3)
chronic obstructive pulmonary disease 2 (13.3)
diabetes mellitus 5 (33.3)
Average number of medications, M (SD) 3.0 (1.6)
Table 2 Outcome Data for the Senior Fitness Test (SFT), Activity
Measure–Post Acute Care (AM-PAC), and Geriatric Depression Scale
(GDS), N = 15
Pretest Posttest
Measure
M SD M SD t p d
SFT
chair sit-and-reach, in. –3.27 4.93 0.00 3.03 2.88 .006 1.05
back scratch, in. –8.53 7.69 –5.77 6.23 .92 .040 0.70
arm curl, repetitions 10.80 1.97 14.53 4.00 3.66 .002 1.34
chair stand, repetitions 8.20 3.90 10.47 4.70 2.94 .006 1.07
2-min step, repetitions 44.80 20.93 75.20 25.50 5.37 <.001 1.96
8-ft up-and-go, sa11.12 4.33 8.71 4.46 –9.79 <.001 3.57
AM-PAC
daily activity 53.82 7.01 58.28 9.87 2.13 .025 0.78
basic mobility 60.92 6.36 63.31 5.58 1.60 .067 0.58
applied cognition 45.97 6.55 49.91 7.03 2.33 .018 0.85
GDSa2.07 1.83 2.27 2.58 0.30 .380 0.11
aLower scores indicate improvement.
Multicomponent Physical Activity Program 371
Scores for the participants completing all three administrations of the YPAS
(n = 14) were examined through a repeated-measures ANOVA (see Table 3). Of
the eight YPAS indices, signicance for the main effect was found for total time,
total energy expenditure, and the leisurely walking index. Post hoc analyses for
these three indices using the Bonferroni adjustment revealed no signicant dif-
ferences, except for the leisurely walking index, from pretest to posttest. Partial
eta-squared effect sizes (“the proportion of variance that a variable explains that is
not explained by other variables,” Field, 2009, p. 791) for the repeated-measures
ANOVA were very large for the three indices, demonstrating a main effect. Effect
sizes were medium to large for the standing index, sitting index, and activity
dimension index and small for the vigorous activity index and moving index.
Because of the potential loss of critical data due to the decrease in sample size
from posttest (n = 15) to postposttest (n = 14), a one-tailed paired-samples t test (n
= 15) was completed for pretest to posttest scores on the YPAS (data not shown).
A comparison of these paired-samples t-test scores (n = 15) with the scores of the
repeated-measures ANOVA (n = 14) afrm that loss to follow-up did not appear
to skew the YPAS results.
Discussion
The purpose of this study was to examine the effectiveness of a low-cost, commu-
nity-based, best-practice physical activity program for seniors from low-income
households. Using a single-group repeated-measures design, our intervention
yielded high participation rates, increased physical activity, reduced ADL limita-
tions, and improved physical performance for endurance, strength, exibility, and
balance. These ndings support the use of the FSAH as an effective exercise and
physical activity program for this population.
Few exercise studies have included ADL performance as a functional outcome
(ACSM et al., 2009; Keysor & Brembs, 2011; Keysor & Jette, 2001), and of the
multicomponent exercise studies incorporating direct or indirect ADL measures
to assess change, the results have often been nonsignicant (Binder et al., 2002;
Kolbe-Alexander, Lambert, & Charlton, 2006; Lord et al., 2003). The current study,
with a primary interest in function as reected through ADL performance, reported
a signicant reduction in perceived difculty and need for assistance with ADLs
after participation in the FSAH intervention.
In addition to a change in ADL performance, the amount of physical activity
increased after participation in the intervention. Scores from the YPAS indicated
signicant gains in physical activity for both time and energy spent performing daily
activities such as household tasks, exercise, and recreational activity. The intent of
our postposttest measure was to evaluate sustainability of gains in physical activ-
ity realized through participation in the intervention. Over the three measurement
time points, the YPAS index scores reected a positive change in behavior patterns,
trending from sedentary to more active levels of participation.
Evidence of the effect of exercise on physiological functions such as endurance
and strength for older adults is strong (ACSM et al., 2009; Peterson et al., 2009).
Our study found similar results, with participants signicantly improving on all six
372
Table 3 Repeated-Measures ANOVA for the Yale Physical Activity Scale, N = 14
Pretest Posttest Postposttest
YPAS
M SD M SD M SD p ηp2
Total time 24.55 17.25 31.07 21.71 31.07 27.76 .032 .241
Total energy expenditure (kcal) 4,667.79 3,323.59 5,711.25 3,521.04 8,104.82 5,349.08 .032 .233
Vigorous activity index 9.29 12.99 12.50 10.70 12.14 16.14 .621 .036
Leisurely walking index 6.29 7.48 14.00 7.65 12.00 7.52 .039 .220
Moving index 8.79 5.58 9.21 2.75 8.79 3.62 .884a.005
Standing index 4.00 2.35 4.86 1.51 5.43 3.96 .322 .084
Sitting indexa2.71 1.82 1.93 0.73 2.14 0.77 .180a.131
Activity summary index 31.07 18.39 42.50 16.46 40.50 24.92 .150 .136
aCalculations using Huynh–Feldt secondary to sphericity violated. bLower scores indicate improvement.
Multicomponent Physical Activity Program 373
SFT physical-performance measures. High-intensity exercise protocols and high-
cost exercise equipment are effective tools for improving physical performance
in older adults (Fiatarone et al., 1994; Seynnes et al., 2004). Our study indicates
that gains in physical performance can also be achieved with low-cost equipment
and an exercise program of a lower intensity, which may be more acceptable and
sustainable in this population.
Considerations such as cost and exercise intensity are critical for success-
ful development of community-based exercise and physical activity programs
for older adults from low-income households. Our study minimized cost and
transportation barriers by hosting all study activities onsite in the senior high rise
and providing exercise materials and instruction at no cost. We limited session
frequency to twice per week and offered a nonthreatening exercise program. In
addition to the elimination of barriers, Jancey et al. (2008) noted the importance
of enabling and reinforcing factors that are motivators for participation in com-
munity-based programs. Our study included many of the characteristics ascribed
to successful physical activity programs, including a group format, self-efcacy
activities, and a positive social atmosphere (Prohaska et al., 2006; Smedley &
Syme, 2001). Despite the inclusion of these enabling factors in the design of this
program, however, other contextual factors such as the time of year, population
demographics of the building tenants at the time of the study, and the personality
of the instructor may have also contributed to adherence and participation levels.
Thus, our study reinforces the need for further research on the full potential range
of barriers and motivators in the development of exercise and physical activity
programs for low-income older adults.
Primary limitations of this pilot study include the study design, sample size,
and demographics. Despite our strong ndings, lack of a control group limits the
extent to which we can attribute gains in physical activity, ADL performance,
and physical performance to participation in the intervention. Only 15% of
those living in the senior apartment building attended the initial free health and
wellness seminar offered onsite, and only 9% of all residents participated in the
study. Informal efforts by those enrolled in the study and consideration to extend
the recruitment period before initiation of the intervention yielded no additional
participants. Interest from nonparticipating residents of the facility increased
only as they became more familiar with the interventionist, determined that the
intervention was safe, and conrmed that there was no cost to participate. These
observations suggest that additional educational efforts and use of familiar staff
to “champion” the program may have improved our recruitment results. In addi-
tion, multiple exercise groups with staggered starts may have resulted in a larger
sample group.
While the intention of this study was to recruit a diverse sample group with
representation of both genders, all participants in this study were White women.
Men and women were recruited equally to participate, but group exercise tra-
ditionally draws more interest from women (Myers Smith, 2006). Additional
efforts specically targeting men, inclusion of a male instructor, and/or single-
gender intervention groups may have facilitated recruitment of male participants.
The homogeneity of our sample limits the ability to generalize the ndings to
mixed populations of racially diverse, community-dwelling older adults from
low-income households.
374 Toto et al.
Conclusion
Findings from this pilot study support use of a best-practice exercise and physical
activity program (FSAH) with community-dwelling older women from low-income
households to increase physical activity levels, reduce ADL-related activity limita-
tion, and improve physical performance. Inclusion of this combination of outcome
measures attempts to address the broad number of factors believed to affect par-
ticipation, health, and sustained independence. The low-cost design of the FSAH,
combined with an intentional elimination of many common barriers to physical
activity engagement, makes the FSAH a viable consideration for use in community
programs and community housing. Additional research on best-practice physical
activity programs in the form of randomized clinical trials, which include ADL
performance as an outcome and recruit a more diverse population, are needed to
better understand the causal relationship between physical activity, ADLs, and
well-being for older adults.
Acknowledgments
This study was supported by funding from the University of Pittsburgh School of Health and
Rehabilitation Sciences. FSAH toolkits were supplied by the Hygenic Corp., Akron, OH.
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La flexibilidad a niveles adecuados es importante para un correcto desempeño de las actividades cotidianas. Sin embargo, esta cualidad puede verse influenciada negativamente por distintos factores, como el estilo de vida, el envejecimiento y el género. Por ello, el objetivo de este estudio fue comparar el nivel de flexibilidad entre personas mayores institucionalizadas y físicamente inactivas con personas mayores físicamente activas, comparando, además, de qué forma el fenotipo sexual puede influir sobre la misma. La muestra estuvo compuesta por personas mayores de 65 años, siendo un grupo físicamente activo (GA) de 54 participantes y un grupo de mayores institucionalizados e inactivos (GI) con 19 participantes; a los que se les evaluó la flexibilidad con dos test de la Batería Senior Fitness Test. Los resultados mostraron una diferencia significativa de la flexibilidad de tren superior e inferior a favor del grupo GA (p < .001) con la influencia del fenotipo sexual variando en función de la zona evaluada. Concluimos que es fundamental añadir en el día a día de las personas mayores la práctica de ejercicio físico, así como incentivar a que mantengan un estilo de vida activo y saludable, independientemente del entorno geográfico donde habiten y de su género. Abstract: The range of motion is important to perform properly in activities of daily living. However, this physical component can be negatively influenced by different aspects, such as lifestyle, aging and gender. Therefore, the aim of this study was to compare the level of range of motion among institutionalized and physically inactive older adults with physically active, in addition to know how gender can influence it. We compared groups of people older than 65 years, one group was physically active (GA) (n = 54) and the other group was institutionalized and physically inactive older people (GI) (n = 19); and we measured flexibility using the tests from the Senior Fitness Test battery. Our results showed a difference in the flexibility of the upper and lower body for the GA group (p < .001) compared with GI, showing also a gender difference depending on the measured area. We can conclude that it is crucial to include programs of physical exercise to the daily routine of the elderly, as well as to encourage maintaining an active and healthy lifestyle independent of the gender and the geographical environment where they live.
... The classes provide post-discharge options for maintaining the functional gains made during PT treatment, as well as solutions for individuals wanting to exercise to stay strong and healthy, under the guidance of a licensed PT who has extensive experience working with geriatric clients. A multi-component exercise program consisting of aerobic, strengthening, balance, and flexibility techniques is recommended to prevent falls among frail older adults [15][16][17][18][19] . Thus, the GroupHab class included all four of these exercise components. ...
... Not only was the PT able to design the classes to fit the needs and capabilities of each participant, but she was able to closely monitor participants and progress them as needed. Previous research has demonstrated that exercise programs for older adults are often "under-dosed" due to fear of overstressing weak muscles, painful joints, or an inefficient cardiopulmonary system; thus, they select an intensity that meets the needs of participants who are functioning at the lowest activity level [15,16] . As with many HEP programs that begin at a relatively low level, these programs are frequently abandoned by participants who become bored and perceive that the program is not making a difference in their functional mobility. ...
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This quasi-experimental study compared the results of a traditional model of physical therapy (PT) care to a PT wellness model known as GroupHab. The traditional model included discharge from PT with a home exercise program (HEP) to be self-administered with or without the addition of a community-based exercise program. The wellness model included participation in a PT-designed and supervised group exercise program (GroupHab class) in an outpatient clinical setting following discharge from PT. Independent t-tests were used to compare the number of falls, exercise frequency, and exercise duration between the two groups. A repeated measures, analysis of variance (RM-ANOVA) compared changes in balance confidence scores both within and between groups, and a multivariate analysis of variance (MANOVA) analyzed group differences across multiple quality of life ratings using the SF-20. All data were analyzed at the 0.05 alpha level using SPSS 24 statistical software. Our results showed a significantly greater reduction in recurrent falls among the GroupHab wellness group compared to the HEP group (t=2.811, p=0.009). The resulting odds ratio for subsequent falls was 2.2 among HEP participants and 0.2 among GroupHab participants. Exercise adherence was also greater for those who participated in the GroupHab class They documented greater exercise frequency (t= -3.253, p=0.002) and more exercise minutes (t= -7.188, p<0.001) than those who participated in the HEP. When comparing changes in the participants’ balance confidence, we found an average increase of 5% among GroupHab participants compared to a 6% decrease among HEP participants (F=16.877, p<0.001, power=0.981). Although our multivariate analysis of the SF-20 scores revealed no significant difference overall (F=0.768, p=0.73), the univariate analyses showed significantly greater improvements among GroupHab participants in selected areas of physical function. These results suggest that at-risk older adults who are discharged into a functionally-based group exercise class are less likely to experience recurrent falls more likely to have more confidence in their balance than those who are discharged with a standard HEP and/or use of community-based exercise classes.
... In addition, these studies did not consistently or clearly report strategies to ensure treatment fidelity. Eight of seventeen studies relied on selfreported measures of SB [65][66][67][68][69][70][71][72], and only two had study durations of at least six months [72,73]. One of the two longer-term studies relied on self-reported SB [72], while the other reported no effect on overall sedentary time [73]. ...
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... Although there is some evidence on how physical exercise interventions can promote physical function and cognition in older residents of long-term care facilities (Rolland et al., 2007;Dechamps et al., 2010;Miller et al., 2010;Toto et al., 2012;Fr€ andin et al., 2016;Rodriguez-Larrad et al., 2017;Arieta et al., 2019), there is no evidence on the efficacy of a multicomponent exercise program (MCEP) in both physical and hemodynamic functions in older residents of long-term care facilities. ...
... Cost considerations related to physical activity programming and infrastructure (Toto et al., 2012), physical and mental health status (Dogra et al., 2015), and limited access to safe and appropriate spaces for physical activity (Loukaitou-Sideris et al., 2016) are all examples of barriers to low-income older adults' participation in physical activity. Neighbourhood factors such as poverty, social deprivation, and feelings of vulnerability to crime can negatively influence older adults' wellbeing (Scharf et al., 2003), and limit their use of outdoor public spaces (Scharf et al., 2001). ...
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Outdoor adult playgrounds (OAPs) have in some cases been in socioeconomically underserved neighbourhoods to improve community members’ access to physical activity infrastructure. Older adults have been identified as one population group who could particularly benefit from OAP equipment. The purpose of this study was to explore and identify the social ecological factors that influenced older adults’ uptake of an OAP installed in a neighbourhood of low-socioeconomic status. We employed the social ecological model (SEM) using a case study design and argue that the OAP’s location may help to lower inequalities in access to physical activity infrastructure. We end this paper with a discussion into all-ages and age-friendly policy as they relate to OAPs and suggest novel ways of activating municipal parks for seniors.
... Although there is some evidence on how physical exercise interventions can promote physical function and cognition in older residents of long-term care facilities (Rolland et al., 2007;Dechamps et al., 2010;Miller et al., 2010;Toto et al., 2012;Fr€ andin et al., 2016;Rodriguez-Larrad et al., 2017;Arieta et al., 2019), there is no evidence on the efficacy of a multicomponent exercise program (MCEP) in both physical and hemodynamic functions in older residents of long-term care facilities. ...
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Αbstract Objectives To assess hemodynamic and physical function responses during a two-month multicomponent group exercise program (MCEP) in residents of long-term care facilities. Methods 40 older long-term care residents were randomly allocated equally to an intervention (IG; n = 20; 80 ± 7 years) and control group (CG; n = 20; 79 ± 7 years); they all submitted to hemodynamic (blood pressure and heart rate) and functional assessments before and after the MCEP. The IG performed a twice-weekly, two-months multicomponent exercise program composed of functional mobility, balance, muscle strength, and flexibility exercises; while the CG did not perform any exercise intervention. Results There was a statistically significant decrease in systolic blood pressure (7.25 ± 14.64 mmHg; t = 2.2; effect size = 0.34; p < 0.05) following a two-month MCEP as compared with baseline. In all functional measurements (balance, mobility) were significantly improved after the MCEP (p < 0.05). Discussion These data indicate that a two-month MCEP can improve systolic blood pressure and functionality in older residents of long-term care facilities.
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This evidence map is based on the 3iE Evidence Gap Map methodology. We searched seven electronic databases (BVS, PUBMED, EMBASE, PEDro, ScienceDirect, Web of Sciences, and PschyInfo) from inception to November 2019 and included systematic reviews only. Systematic reviews were analyzed based on AMSTAR 2. We used Tableau to graphically display quality assessment, the number of reviews, outcomes, and effects. Results: The map is based on 116 systematic reviews and 44 meta-analyses. Most of the reviews were published in the last 5 years. The most researched interventions were Tai Chi and Qi Gong. The reviews presented the following quality assessment: 80 high, 43 moderate, 23 low, and 14 critically low. Every 680 distinct outcome effect was classified: 421 as potential positive; 237 as positive; 21 as inconclusive/mixed; one potential negative and none no effect. Positive effects were related to chronic diseases; mental indicators and disorders; vitality, well-being, and quality of life. Potential positive effects were related to balance, mobility, Parkinson’s disease, hypertension, joint pain, cognitive performance, and sleep quality. Inconclusive/mixed-effects justify further research, especially in the following areas: Acupressure as Shiatsu and Tuiná for nausea and vomiting; Tai Chi and Qi Gong for acute diseases, prevention of stroke, stroke risk factors, and schizophrenia. Conclusions: The mind-body therapies from traditional Chinese medicine have been applied in different areas and this Evidence Map provides a visualization of valuable information for patients, professionals, and policymakers, to promote evidence-based complementary therapies.
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Background: Older adults are the most sedentary segment of society, often spending in excess of 8.5 hours a day sitting. Large amounts of time spent sedentary, defined as time spend sitting or in a reclining posture without spending energy, has been linked to an increased risk of chronic diseases, frailty, loss of function, disablement, social isolation, and premature death. Objectives: To evaluate the effectiveness of interventions aimed at reducing sedentary behaviour amongst older adults living independently in the community compared to control conditions involving either no intervention or interventions that do not target sedentary behaviour. Search methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, PsycINFO, PEDro, EPPI-Centre databases (Trials Register of Promoting Health Interventions (TRoPHI) and the Obesity and Sedentary behaviour Database), WHO ICTRP, and ClinicalTrials.gov up to 18 January 2021. We also screened the reference lists of included articles and contacted authors to identify additional studies. Selection criteria: We included randomised controlled trials (RCTs) and cluster-RCTs. We included interventions purposefully designed to reduce sedentary time in older adults (aged 60 or over) living independently in the community. We included studies if some of the participants had multiple comorbidities, but excluded interventions that recruited clinical populations specifically (e.g. stroke survivors). Data collection and analysis: Two review authors independently screened titles and abstracts and full-text articles to determine study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. Any disagreements in study screening or data extraction were settled by a third review author. Main results: We included seven studies in the review, six RCTs and one cluster-RCT, with a total of 397 participants. The majority of participants were female (n = 284), white, and highly educated. All trials were conducted in high-income countries. All studies evaluated individually based behaviour change interventions using a combination of behaviour change techniques such as goal setting, education, and behaviour monitoring or feedback. Four of the seven studies also measured secondary outcomes. The main sources of bias were related to selection bias (N = 2), performance bias (N = 6), blinding of outcome assessment (N = 2), and incomplete outcome data (N = 2) and selective reporting (N=1). The overall risk of bias was judged as unclear. Primary outcomes The evidence suggests that interventions to change sedentary behaviour in community-dwelling older adults may reduce sedentary time (mean difference (MD) -44.91 min/day, 95% confidence interval (CI) -93.13 to 3.32; 397 participants; 7 studies; I2 = 73%; low-certainty evidence). We could not pool evidence on the effect of interventions on breaks in sedentary behaviour or time spent in specific domains such as TV time, as data from only one study were available for these outcomes. Secondary outcomes We are uncertain whether interventions to reduce sedentary behaviour have any impact on the physical or mental health outcomes of community-dwelling older adults. We were able to pool change data for the following outcomes. • Physical function (MD 0.14 Short Physical Performance Battery (SPPB) score, 95% CI -0.38 to 0.66; higher score is favourable; 98 participants; 2 studies; I2 = 26%; low-certainty evidence). • Waist circumference (MD 1.14 cm, 95% CI -1.64 to 3.93; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). • Fitness (MD -5.16 m in the 6-minute walk test, 95% CI -36.49 to 26.17; higher score is favourable; 80 participants; 2 studies; I2 = 29%; low-certainty evidence). • Blood pressure: systolic (MD -3.91 mmHg, 95% CI -10.95 to 3.13; 138 participants; 3 studies; I2 = 73%; very low-certainty evidence) and diastolic (MD -0.06 mmHg, 95% CI -5.72 to 5.60; 138 participants; 3 studies; I2 = 97%; very low-certainty evidence). • Glucose blood levels (MD 2.20 mg/dL, 95% CI -6.46 to 10.86; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). No data were available on cognitive function, cost-effectiveness or adverse effects. Authors' conclusions: It is not clear whether interventions to reduce sedentary behaviour are effective at reducing sedentary time in community-dwelling older adults. We are uncertain if these interventions have any impact on the physical or mental health of community-dwelling older adults. There were few studies, and the certainty of the evidence is very low to low, mainly due to inconsistency in findings and imprecision. Future studies should consider interventions aimed at modifying the environment, policy, and social and cultural norms. Future studies should also use device-based measures of sedentary time, recruit larger samples, and gather information about quality of life, cost-effectiveness, and adverse event data.
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