Bergamin (2013) Water- versus land-based exercise in elderly subjects effects on physical performance

Abstract: The aim of this study was to assess the effectiveness of a 24-week exercise protocol carried out in geothermal spring water to improve overall physical function and muscle mass in a group of healthy elderly subjects. A further aim was to compare this water-based protocol with a land-based protocol and a control group. For this purpose, 59 subjects were recruited and randomly allocated to three groups: aquatic group (AG), land group (LG), and control group (CG). AG and LG followed a 6-month, twice-weekly, multimodality exercise intervention. AG underwent the protocol in hot-spring water (36°C) while LG did it in a land-based environment. After the intervention, knee-extension strength was maintained in AG and LG. The 8-foot up-and-go test showed a reduction in both exercise groups (AG −19.3%, P < 0.05; LG −12.6%, P < 0.05), with a significantly greater decrease in AG. The back-scratch test revealed an improvement only in AG (25.8%; P < 0.05), while the sit-and-reach test improved in all groups. Finally, AG reduced fat mass by 4% (P < 0.05), and dominant forearm fat decreased by 9.2% (P < 0.05). In addition, calf muscle density increased by 1.8% (P < 0.05). In summary, both water- and land-based activities were beneficial in maintaining strength and in improving lower-body flexibility. Aquatic exercise appeared a better activity to improve dynamic balance. Thermal swimming pools and the use of rating of perceived exertion as a method of exercise monitoring should be considered potentially useful tools to enhance physical performance and body composition in healthy elderly.


2013 Bergamin et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
Clinical Interventions in Aging 2013:8 11091117
Clinical Interventions in Aging
Water- versus land-based exercise in elderly
subjects: effects on physical performance
and body composition
Marco Bergamin1
Andrea Ermolao1
Silvia Tolomio1
Linda Berton2
Giuseppe Sergi2
Marco Zaccaria1
1Sports Medicine Division, 2Geriatrics Division, University of Padova, Padua, Italy
Correspondence: Marco Bergamin Sports Medicine Division, Department of Medicine, University of Padova, Via Giustiniani 2, Padova, Italy Tel +39 049 821 5763 Fax +39 049 821 5862 Email
Abstract: The aim of this study was to assess the effectiveness of a 24-week exercise protocol
carried out in geothermal spring water to improve overall physical function and muscle mass
in a group of healthy elderly subjects. A further aim was to compare this water-based protocol
with a land-based protocol and a control group. For this purpose, 59 subjects were recruited and
randomly allocated to three groups: aquatic group (AG), land group (LG), and control group
(CG). AG and LG followed a 6-month, twice-weekly, multimodality exercise intervention. AG
underwent the protocol in hot-spring water (36C) while LG did it in a land-based environment.
After the intervention, knee-extension strength was maintained in AG and LG. The 8-foot up-
and-go test showed a reduction in both exercise groups (AG 19.3%, P , 0.05; LG 12.6%,
P , 0.05), with a significantly greater decrease in AG. The back-scratch test revealed an
improvement only in AG (25.8%; P , 0.05), while the sit-and-reach test improved in all groups.
Finally, AG reduced fat mass by 4% (P , 0.05), and dominant forearm fat decreased by 9.2%
(P , 0.05). In addition, calf muscle density increased by 1.8% (P , 0.05). In summary, both
water- and land-based activities were beneficial in maintaining strength and in improving
lower-body flexibility. Aquatic exercise appeared a better activity to improve dynamic balance.
Thermal swimming pools and the use of rating of perceived exertion as a method of exercise
monitoring should be considered potentially useful tools to enhance physical performance and
body composition in healthy elderly.
Keywords: aging, multimodality exercise, performance, muscle mass
Sarcopenia has been defined as the loss of muscular mass and decline in associated
muscular function occurring with aging. Its development and progression is a com-
plex and multifactorial process, resulting from changes only partially understood.1
A growing body of evidence emphasizes how physical activity2 or other types of
interventions3 or their combination4,5 can slow the loss of skeletal mass. From a clini-
cal point of view, physical performance and muscle strength were also suggested as
first indexes of sarcopenia and thus emphasized as primary outcome domains for
intervention trials in sarcopenia.6
Aquatic activities could be included as a strategy to counteract physical decline.
Recent studies have investigated the effects of water-based exercise, though mainly in
specific clinical conditions, such as coronary artery disease,7,8 fibromyalgia,9,10 low-
back pain11,12 and low bone mineral density.13
Although it appears that water-based exercise may be a suitable exercise modality
for elderly individuals, little is known about its ability to improve body composition
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Clinical Interventions in Aging 2013:8
and muscle mass in older adults who regularly engage in
these activities. Recently, a paper reviewed the effects of
exercise in an aquatic setting on physical fitness and body
composition in healthy elderly,14 and highlighted the need to
adopt more advanced techniques to measure muscle mass,
which are currently lacking.
Another literature gap regards the use of geothermal
spring water as an exercise setting, particularly in old
individuals. The warmth of the water may enhance blood flow,
which is thought to help in dissipating algogenic chemicals
and facilitating muscle relaxation.15 However, not much data
exist about the effectiveness and safety of exercise protocols
carried out in this environment.
Our aim was to assess the effectiveness of a 24-week
exercise protocol, carried out in hot-spring water, to improve
overall physical function and muscle mass in a group of
healthy elderly. A further aim was to compare this water-
based protocol with a land-based protocol and a control
Methods and materials
Fifty-nine healthy subjects (29 male, 30 female) were recruited
(age 71.2 5.4 years, body mass index 26.5 3.0 kgm2)
by eight family physicians in the towns of Abano Terme,
Montegrotto Terme, Battaglia Terme, and Teolo, settlements
around the thermal area of the Euganean Basin (Veneto
Region, Italy). For this purpose, advertisements were placed
within family physicians waiting rooms. Information about
study purpose and procedure were given to each subject; after
acceptance, written consent was obtained before participation.
Subjects were randomly allocated to aquatic group (AG), land
group (LG), or control group (CG). Table 1 describes sample
characteristics at baseline (T0) by sex. Figure 1 shows the
participants recruitment and allocation.
The inclusion criteria were age (.65 years) and no exer-
cise contraindications detected from a full physical examina-
tion, including cardiovascular, pulmonary, musculoskeletal,
and abdominal evaluation. Further, subjects should not have
attended a structured physical activity or exercise program in
the prior 6 months. Other exclusion criteria were represented
by a history of central nervous dysfunction such as hemipare-
sis, myelopathies, cerebral ataxia, significant musculoskeletal
deformities (amputation, leg-length inequality, or scoliosis),
and abnormalities or arthritis-limited movements by pain.
Further exclusion criteria were a clinically evident history
of severe cardiovascular disease, which could limit or con-
traindicate exercise, angina or related symptoms, postural
hypotension (defined as fall in arterial blood pressure when
changing position of .20 mmHg in systole or .10 mmHg
in diastole), and use of beta-blockers.
The study complied with the current laws of Italy for
research on human participants and was approved by the
University Hospital ethical committee.
Materials and procedure
Functional evaluation was performed at T0 and after the
end of the exercise protocol (T1). Once the randomization
procedure was completed, we performed an evaluation of all
control subjects, then participants of the two experimental
groups were examined. After 24 weeks from the first evalua-
tion (control subjects), we recalled all controls for the second
evaluation. Both experimental groups were evaluated from
the beginning of the last week of exercise, and all subjects
were tested within 3 weeks.
Body mass was measured using a BWB-800 AS scale
(Tanita, Arlington Heights, IL, USA), and height with an
HR-200 stadiometer (Tanita). Grip strength was measured
by hand-grip dynamometry (Baseline, Elmsford, NY, USA),
and isotonic (KET) and isometric knee-extension (KEM)
strengths were measured by a dynamometric load cell (Glo-
bus Ergo System, Codogn, Italy) applied to a knee-extension
device (Technogym, Gambettola, Italy). The 8-foot up-and-
go test (UGT) was used to assess dynamic balance while
the back-scratch test (BS) and sit-and-reach test (SR) were
performed to evaluate upper- and lower-body flexibility. The
general procedure of these three field tests has been described
and validated elsewhere.16 Briefly, the UGT measures the
time it takes to get out of a chair, walk 8 feet to and around
a cone, and return to the chair; the BS measures the distance
between (or the overlap of) the middle fingers behind the
back when trying to touch the middle fingers of both hands
together behind the back; to perform the SR, subjects sit
with the soles of their feet against a box (with a centimeter
scale printed on the top surface), and with their hips flexed
to about 90 to assume an upright sitting position. Then, they
flex their hip joints and vertebral column to reach forward
Table 1 Baseline characteristics of the study participants (mean
standard deviation)
(n = 29)
(n = 30)
(n = 59)
Age (years)72.1 6.172.3 4.771.2 5.4
height (cm)169.2 7.3156.2 5.5162.8 9.2
Body mass (kg)76.1 11.359.7 6.568.1 6.5
BMI (kg m2)26.6 3.024.5 2.725.6 2.7
Abbreviation: BMI, body mass index.
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Clinical Interventions in Aging 2013:8
as far as possible. The difference (in centimeters) between
the starting and the final position is measured. The values
included in the statistical analysis represent the mean of the
three values for each measure.
Measurements of body composition using the dual-
energy X-ray absorptiometry (DXA; QDR 4500 W, software
version 12.6; Hologic, Bedford, MA, USA) were performed
on all subjects. A standardized procedure for patient posi-
tioning and software utilization was used as suggested by
the manufacturer;17 besides, the accuracy of fat mass (FM)
and fat-free mass (FFM) estimates has been examined
in a previous validation study.18 Appendicular skeletal
muscle mass was also calculated following the method of

Baumgartner et al.1 Peripheral quantitative computed tomog-
raphy (pQCT; NorlandStratec XCT-3000, software version
6.0; Stratec Medizintechnik, Pforzheim, Germany) was per-
formed to measure total cross-sectional area, cross-sectional
muscle area, and cross-sectional fat area on forearm and
on calf. Cross sectional 2.5 mm scans of the forearm were
obtained at 66% of the radius length from the distal end of
the radio. Also for the calf, 2.5 mm cross-sectional scans
were obtained at 66% of the tibia length from the distal end
of the tibia. This position has been described in previous
studies on cadavers, demonstrating that this site provides
a high estimate of muscle cross-sectional area with direct
anatomical measures.19 In addition, muscle density was mea-
sured, since it has been validated as a reflection of adipose
tissue deposition in the muscle.20,21 Variation and reliability
of muscle density assessed by pQCT has been evaluated
elsewhere.22 Both DXA and pQCT scans were performed
by the same experienced technician.
Exercise interventions
AG underwent a 6-month twice-weekly exercise protocol
in hot-spring water, aimed at improving overall fitness. LG
performed an intervention of the same volume, but set in
a land-based environment. The exercise trainer was not
informed about the aim of the study, but was only asked to
follow the specific protocol, as previously determined. The
intensity of exercise for both groups was set using the rating
of perceived exertion (RPE),23 and both groups worked out
involving the same muscular groups maintaining the same
RPE. Neither AG nor LG used any device to increase drag
force or resistance. Training sessions were structured in three
parts for both intervention groups (AG and LG) and lasted
60 minutes. The first part (about 8 minutes) included warm-up
Accesses for eligibility (n = 80)
Enrollment Excluded (n = 21)
Not meeting the inclusion
criteria (n = 19)
Refused to participate (n = 2)
Experimental group
Aquatic group (AG) (n = 20)
Received allocated
intervention (n = 20) Experimental group
Land group (LG) (n = 20)
Received allocated
intervention (n = 20) Control group (CG) no
intervention (n = 19)
Discontinued intervention
(n = 3)Discontinued intervention
(n = 3)Discontinued intervention
(n = 0)
Analyzed (n = 17)Analyzed (n = 17)Analyzed (n = 19)
Figure 1 recruitment and allocation of the study participants.
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Exercise training in thermal water

Clinical Interventions in Aging 2013:8
exercises, at very low intensity, such as cervical circumduc-
tion, active shoulder, wrist, pelvis, and ankle mobilizations
to activate the different body parts, and preparing for the
central part of the session. Five lower-body exercises were
then performed in a standing position. Exercises were single-
leg knee extensions and flexions, hip extensions and flexions
(with extended knee), lateral side bounces, calf raises, and
lower limb abductionsadductions. After that, five upper-body
exercises were carried out: upper-limb abductionsadductions
on transverse plane, shoulder flexionsextensions, shoulder
abductionsadductions, pushes forward, and lateral pushes.
These ten exercises constituted the main part of each session
(about 45 minutes). When participants in AG were training
the upper body, they were instructed to perform the exercises
with knees flexed, to maintain the movement of upper limbs
completely underwater. Each exercise lasted 1 minute and
was repeated for three times; a 30-second recovery pause
was set between each series. The first month of activity was
used for exercise familiarization and overall conditioning,
maintaining the intensities below 13 in Borgs RPE Scale.
The following months, the intensity was set between 13
and 16 RPE, using a progressive incremental protocol, as
described in Table 2. Finally, at the end of each training ses-
sion, about 8 minutes were dedicated to the cool-down, using
six stretching positions maintained from 60 to 90 seconds.
Muscular regions involved were chest, shoulders, upper and
lower back, quadriceps, and hamstrings. Stretching intensity
was maintained at moderate intensity, as recommended by
American College of Sports Medicine guidelines.24 To per-
mit a comparison between aerobic stimulation between AG
and LG, heart rate (HR) was recorded by HR s810i monitors
(Polar Electro, Kempele, Finland), and exercise intensity was
maintained around 60% of maximum HR (range 55%65%).
The maximum HR was calculated using Coopers formula
(220 age).25 An exercise therapist supervised all the exercise
classes. At the beginning of each exercise class, he asked
participants to report any problem that had occurred since
the end of the last exercise class; he was also instructed to
record any injury or symptom occurring during the class and
reported by participants.
Swimming pool depth range was 1.301.80 m; each
subject took position where the level of the water reached
the medium sternum. The average temperature of the thermal
water was 36.2C, while land-based activity was performed
in a room with a mean temperature of 20.1C.
Statistical analyses were carried out using SPSS (version
18.0 for Windows; IBM, Armonk, NY, USA). Results are
expressed as means standard deviation or percentage. The
KolmogorovSmirnov test was carried out to check if data
were normally distributed, and Levenes test was performed
to test the homogeneity of variance. Students t-test for
dependent samples was used to evaluate each variable within
groups before versus after exercise intervention. One-way
analysis of variance (ANOVA) was adopted to compare the
before-and-after differences among the three groups. Finally,
post hoc analyses were performed with the Bonferroni cor-
rection, to analyze interaction among groups. Significance
limits were set at P , 0.05.
Among the 59 subjects, only three were smokers, 23 had
hypertension, none had type 2 diabetes, and 21 had hypercho-
lesterolemia; 38 were taking medications, mainly represented by
antihypertensives, statins, acetylsalicylic acid, benzodiazepine,
and non-steroidal anti-inflammatory drugs. Pathologies and the
use of medications were distributed between groups. Due to
health conditions or lack of interest in participation, six subjects
dropped out from the study (three in AG, three in LG, none in
CG). The average adherence in the 48 sessions was 81.25%, and
no statistically significant differences were detected between
AG and LG.
During the 6-month protocol, AG and LG aerobic
intensities were similar (P = 0.782), showing mean values of
60.1% 4.6% (AG) and 59.5% 6.6% (LG) of maximum HR
(data gathered during the central part of all exercise sessions).
Tables 3 and 4 show the intragroup differences observed
from T0 and T1 in physical function and body composition.
When evaluating before-and-after differences among the
three groups, ANOVA detected a statistical significance in
dynamic balance (F2,51 = 7.796, P , 0.001), isotonic leg
strength (F2,51 = 9.624, P , 0.001), isometric leg strength
(F2,51 = 5.845, P = 0.007), trunk FM (F2,51 = 5.541,
P = 0.007), total FM (F2,51 = 19.063, P , 0.001),
trunk FFM (F2,51 = 5.569, P = 0.007), and total FFM
(F2,51 = 4.796, P = 0.013).
Table 2 Progression of the 6-month aquatic- and land-based
MonthSetsExercise time
Recovery time
Notes: Exercise and recovery time are expressed in seconds (sec), exercise time indicates the time spent for each exercise set described in the Methods \section.Abbreviation: rPE, rate of perceived exertion.
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Clinical Interventions in Aging 2013:8
Post hoc analyses indicated that AG had the largest
improvement in the UGT compared to the other two groups
(AG , LG, P = 0.012; AG , CG, P , 0.001) after 6 months
of exercise (Figure 2); also, in LG, UGT improvement was
greater than that of CG (LG , CG, P = 0.003). Yet in isotonic
and isometric knee-extension assessments, CG showed
declines, with changes that were significantly different in
comparison with the other two groups (KET CG , AG,
P , 0.001 and CG , LG, P = 0.007; KEM CG , AG,
P = 0.002 and CG , LG, P = 0.005). No differences were
found between AG and LG. With regard to body composi-
tion, AG diminished total FM and trunk FFM only with
respect to CG (total FM, AG , CG, P , 0.001; trunk FM,
AG , CG, P = 0.005). Finally, LG increased trunk and total
FFM compared with AG and CG (trunk FFM, LG . AG,
P = 0.006, LG . CG, P = 0.012; total FFM, LG . AG,
P = 0.005, LG . CG, P = 0.011).
The aim of our study was to evaluate the effects of a 6-month
twice-weekly water-based physical activity program in a
group of healthy elderly individuals, in comparison with a
land-based exercise group and a control group. Our data sug-
gest that both water- and land-based activities, performed at
the same RPE, can be beneficial in maintaining strength and
in increasing lower-body flexibility. Further, aquatic exercise
appears an effective means to improve dynamic balance.
On the whole, these results support the use of warm-water
exercise among the effective training modalities employed
in the elderly population.
A novel approach of this manuscript is based on the use
of warm water as an exercise setting for healthy elderly. This
choice results in agreement with the need for a higher water
temperature for water exercise in older subjects with respect
to their younger counterparts, as suggested by Barbosa et al.26
To our knowledge, there are only two former manuscripts
evaluating the effect of a water-based program in hot spa
water;27,28 however, they investigated only balance and fall
risk reduction, while our study is the first to analyze also the
effect on strength and physical performance. Another novel
approach of our investigation is the use of recent imag-
ing techniques to assess body composition not yet widely
reported18 in the current literature.14 Another important con-
sideration is that this study is the first comparing the effects
of similar exercise protocols, carried out in two different
environments. In fact, to our knowledge, no other research has
compared exercise protocols performed at the same exercise
intensity (RPE) in two different settings (water versus land)
on healthy elderly subjects. Only two studies compared dif-
ferent exercise modalities: an aquatic group with a walking
group,29 and progressive resistance training with progressive
aerobic aquatic training.30
Overall lower-body strength was maintained in AG
and LG after the 6-month physical activity intervention.
Existing literature provides a few papers evaluating
lower-limb strength after an aquatic exercise protocol in
the elderly.3134 Katsura et al31 and Graef et al33 described
the strengthexercise intensity through the RPE scale, while
Takeshima et al32 instructed participants to move through a
full range of motion and as fast as possible, for each repetition
on each set. Tsourlou et al34 carried out resistance training
using water-resistance products, keeping the rhythm with
music pace. Compared to our data, these last three studies3234
showed greater and statistically significant improvements.
However, both Takeshima et al32 and Tsourlou et al34 used
specific devices able to increase the drag force, probably
reaching a higher strength intensity. In addition, those
protocols were set with three exercise sessions per week
versus our two sessions. On the contrary, in the Katsura et al
study,31 the duration of the intervention was probably too
short (8 weeks) to yield a significant increase in isokinetic
knee-extension strength.
Table 3 Effect of the exercise program on physical performance,
upper- and lower-body strength (mean standard deviation)
Pre (T0)Post (T1)%P
Aquatic group (n = 17)
BS (cm)7.8 8.95.81 8.3425.80.042
Sr (cm)3.2 7.313.08 6.77309.90.000
UGT (sec)5.57 1.214.49 0.7619.30.000
hG (kg)22.7 9.823.51 8.323.80.597
KET (nm)75.34 18.5678.49
KEM (nm)111.52 41.07120.40 39.3614.610.138
Land group (n = 17)
BS (cm)4.9 6.53.47 8.3529.00.533
Sr (cm)5.3 12.213.53 11.51153.70.003
UGT (sec)6.08 2.065.31 2.0812.60.013
hG (kg)18.7 8.423.55 9.1426.10.045
KET (nm)67.06 21.3468.73 19.331.00.702
KEM (nm)101.16 47.95103.87
Control group (n = 19)
BS (cm)4.7 124.45 9.605.30.326
Sr (cm)8.9 7.810.37 7.6216.50.103
UGT (sec)5.11 0.795.28
hG (kg)20.7 9.823.54 10.6513.90.096
KET (nm)74.23 20.3464.41 22.9614.40.000
KEM (nm)113.28 57.3484.60 40.2325.50.006
Abbreviations: BS, back scratch test; Sr, sit-and-reach test; UGT, 8-foot Up and Go test; hG, hand grip test; KET, isotonic leg extension strength; KEM, isometric leg extension strength; , difference between T1 and T0.
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Clinical Interventions in Aging 2013:8
Table 4 Effect of the exercise program on body composition (mean standard deviation)
Pre (T0)Post (T1)%P
Aquatic group (n = 17)
Body mass (kg)69.7 13.468.8
BMI (kg m2)26.6 2.826.2
Appendicular FM (g)8241.5 2410.18022.2 2453.62.70.216
Trunk FM (g)11003.5 4032.210417.2 3692.25.30.011
Total FM (g)20076.3 5699.019276.0 5427.14.00.039
Appendicular FFM (g)19444.9 4379.619170.3 4354.11.40.493
ASMM (kg m2)7.40 1.097.29
Trunk FFM (g)23381.8 5110.423360.0 5058.20.10.912
Total FFM (g)46005.7 9619.045732.8 9581.70.60.295
radius muscle density (mg m3)74.30 2.7074.97 2.440.90.232
radius muscle area (mm2)3394.4 735.03510.0 750.23.40.167
radius fat area (mm2)1082.7 352.5983.5 361.29.20.049
radius total area (mm2)4832.1 804.64856.7 839.70.50.174
Tibia muscle density (mg m3)70.86 1.8372.14 1.761.80.014
Tibia muscle area (mm2)6926.7 1405.36959.3 1410.90.50.991
Tibia fat area (mm2)1826.4 865.91879.0 842.22.90.885
Tibia total area (mm2)9479.6 946.99563.7 1060.30.90.844
Land group (n = 17)
Body mass (kg)69.1 13.968.9
BMI (kg m2)25.7 3.525.7
Appendicular FM (g)7490.8 2898.57158.1 3507.14.40.827
Trunk FM (g)9827.3 3620.09640.7 3869.11.90.418
Total FM (g)18167.1 5956.518112.8 6425.80.30.793
Appendicular FFM (g)20055.3 4996.118293.3 6751.78.80.444
ASMM (kg m2)7.39 1.257.28
Trunk FFM (g)23783.6 5548.023966.8 5544.60.80.014
Total FFM (g)46621.0 10727.647040.6 10827.80.90.009
radius muscle density (mg m3)74.60 2.6375.85
radius muscle area (mm2)3483.3 984.73587.2 975.23.00.120
radius fat area (mm2)1005.6 531.01093.5 612.28.70.728
radius total area (mm2)4868.6 1194.35046.3 1034.53.60.523
Tibia muscle density (mg m3)71.90 3.2972.07 3.790.20.966
Tibia muscle area (mm2)6825.7 1590.56986.6 1606.22.40.402
Tibia fat area (mm2)1979.0 1069.32163.1 1110.19.30.346
Tibia total area (mm2)9583.9 1708.19938.5 1639.73.70.025
Control group (n = 19)
Body mass (kg)65.4 10.865.2
BMI (kg m2)24.4 2.624.1
Appendicular FM (g)7969.1 2983.18301.8 2790.64.30.074
Trunk FM (g)9218.0 2688.29511.8 2568.03.20.115
Total FM (g)18144.3 5101.020162.5 4412.811.10.000
Appendicular FFM (g)18701.6 5008.918547.9 5064.10.80.117
ASMM (kg m2)6.86 1.276.79
Trunk FFM (g)22469.7 4512.022015.6 4363.42.00.047
Total FFM (g)44286.5 9910.843376.5 9676.92.10.003
radius muscle density (mg m3)75.19 2.7675.14 2.410.10.891
radius muscle area (mm2)3281.6 925.53239.6 1013.11.30.404
radius fat area (mm2)1169.9 463.41129.1 441.03.50.085
radius total area (mm2)4774.8 788.14733.4 842.60.90.163
Tibia muscle density (mg m3)72.47 2.9472.93
Tibia muscle area (mm2)6944.7 1817.77093.5 1833.42.10.105
Tibia fat area (mm2)2091.4 936.32172.2 831.93.90.527
Tibia total area (mm2)9755.2 1482.810014.8 1539.82.70.014
Abbreviations: BMI, body mass index; FM, fat mass; FFM, fat free mass; ASMM, appendicu\lar skeletal muscle mass; , difference between T1 and T0.
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Clinical Interventions in Aging 2013:8
Grip strength was investigated as a surrogate of overall
muscle strength as well as its role in predicting disability and
mobility limitation.35,36 After the training period, hand-grip
strength did not show any significant increase in AG. Three
other studies performed similar measures, in some cases
observing improvements,34,37 while in another not.38 Similarly
to lower-body strength, it could be hypothesized that the
absence of specific training might have determined the lack of
effect on hand-grip performance. Interestingly, grip strength
increased by 26% in LG, with a concomitant increase in fore-
arm muscle density. This improvement could be explained by
greater involvement of forearm muscles during LG activity
due to gravity, although we do not have a certain explanation.
Considering that higher muscle density, reflecting a lower
fat infiltration into muscle mass,20 could positively affect
muscle strength,39 we could hypothesize a possible relationship
between LG hand-grip and forearm muscle density.
AG increased both shoulder range of motion and
lower-body flexibility, although the clinical improvement
in upper-body flexibility appears of limited importance.15
Other investigations carried out the same tests to mea-
sure upper- and lower-body flexibility, eg, Bocalini et al29
observed an improvement in the upper body by 40%. On
the contrary, there is a discrepancy in the literature about
lower-body flexibility. Some studies did not show any differ-
ence after the aquatic exercise protocol,32,38 whereas others
highlighted large positive changes.29,31,34,37 None of these
cited studies specified the type and the intensity maintained
during flexibility exercises, and only some papers reported
the time (mostly from 7 to 20 minutes) dedicated to each
exercise session.29,30,32,37,38 Despite this lack of adequate
descriptions, we could hypothesize that the greater difficulty
in training lower-body flexibility in water (ie, to perform
exercises where subjects reach their maximal degrees of
range of motion) could be responsible for the observed

variability. Our data suggest the feasibility and the potential
usefulness of training performed in warm water to improve
body flexibility, but not its greater efficacy, given the lack of
a significant improvement with respect to the other exercise
modality (LG).
Performance in UGT improved in AG and LG. The before-
and-after training effect detected by post hoc analyses showed
a gain in AG that was significantly greater with respect to both
the other two groups (LG and CG). Since the protocol did not
provide any direct intervention to enhance dynamic balance,
the result suggests that warm-water intervention or the water
setting could be a useful exercise modality or environment
to develop dynamic balance in the elderly, apparently more
effective than land-based exercise. Other authors observed
similar outcomes.27,29,31,40 These results could support the
hypothesis that the water environment can create positive
adaptations in dynamic balance, possibly through continuous
instability applied to the subject exercising in an upright
position. Considering that our exercise protocol did not
include any specific balance exercise, this could suggest that
subjects can be trained for specific conditioning (aerobic
or cardiovascular, strength, flexibility, etc) while obtaining
concomitant benefits in dynamic balance.
A further explanation could arise from the observation
that calf muscle strength after the training period was sig-
nificantly increased only in AG. This effect can probably be
best explained by the underwater positioning on toes, which
makes balance maintenance easier.19 This result could support
the role of muscle strength, suggesting the hypothesis of a
correlation between leg muscle density, muscle strength, and
dynamic balance (expressed by the faster time in the UGT),
as previously suggested by MacIntyre et al41 in stroke survi-
vors with subacute chronic lower-limb hemiparesis. A recent
analysis arising from a review article by Granacher et al42 sup-
ports a similar assumption, observing that the improvement
in gait speed (a possible determinant of performance in the
UGT) is related to measures of isometricdynamic strength
and power. The lack of data regarding calf muscle strength
prevents us from confirming this hypothesis.
FM decreased by 4% in AG, with the trunk area show-
ing the highest reductions. In addition, dominant forearm
fat decreased by 9.16%. The effect of training on total and
trunk fat-mass reduction in AG was significantly greater
0 1 2 3 4 5 6 7 8 9
AG LGCG 8-foot up-and-go test (sec)
Figure 2 Dynamic balance at baseline (white columns) and after six months (dotted columns). Notes: *Indicates a statistically significant difference (P , 0.05); **indicates P value , 0.01; indicates a between-group statistically significant difference (P , 0.01) while indicates between-group significance with P value , 0.05; intra groups indicates statistically significant difference (ANOVA).Abbreviations: AG, aquatic group; LG, land group; CG, control group.
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Exercise training in thermal water

Clinical Interventions in Aging 2013:8
compared to that observed in CG. A previous study, involving

water-based activities, measured the sum of skin folds, find-
ing a reduction in FM by 8%,32 while another38 did not show
any change. Also, Ruoti et al,43 using underwater weighting,
did not detect any reduction in FM.
Conversely, land-based physical activity seemed more
useful to increase FFM compared to CG. However, despite a
statistical 1% improvement in muscle mass, we believe that this
change cannot be considered clinically meaningful.11 To our
knowledge, the only investigation that measured FFM was that
of Tsourlou et al,34 showing an increase by 3.4% after a 24-week
aquatic training. Compared to our AG, where no changes were
found in FFM, the effectiveness of this aquatic exercise pro-
tocol in increasing FFM may be related to the higher number
of weekly training sessions, as well as to the use of water-
resistance devices to increase drag resistance. On the whole,
despite their importance, food intake and energy balance were
never monitored together in any of the existing studies. Future
studies should take into account these essential aspects, and
possibly evaluate which protocol could be more effective in
increasing FFM or promoting weight loss, by means of more
advanced techniques of body-composition assessment.
Regarding the safety of the protocols and environment
adopted, exercise intensity was never so high as to induce
any subject to report significant thermoregulatory distress.
Warm water was always well tolerated, and we did not
observe any injury or significant adverse effect during the
whole training period in either experimental group. These
observations, although anecdotal, support the safety and
feasibility of similar protocols in a specific setting such as
warm-water pools.
A limitation of the study was the rather small sample
size. For this reason, these findings should be reported
with caution to the elderly population before confirmation
is received. An additional criticism arises from the intrin-
sic characteristics of elderly subjects, who despite being
clinically eligible to participate in the exercise program or
asymptomatic, may have presented underlying pathologies
potentially influencing the final results. Finally, we cannot
exclude a disparity between the objective exercise inten-
sity in the two environments (water versus land), despite a
similar subjective intensity of exercise perception (RPE),
as suggested by Killgore et al.44
In summary, both warm-water and land-based activities,
performed at the same RPE, were beneficial in maintaining
s t r e n g t h a n d i n i m p r ov i n g l owe r - b o d y f l e x i b i l i t y.
Between protocols, the aquatic exercise appeared a better
activity to increase dynamic balance and promote weight loss,
although further data are needed to confirm these findings.
Warm-water swimming pools and the use of RPE as a method
of exercise monitoring should be considered suitable tools to
enhance physical fitness in healthy elderly subjects.
The authors thank all the family physicians who meticu-
lously participated in the recruitment process. We also
thank Mrs Zanettin, Mr Fioraso, and Mr Mattiazzo, direc-
tors of the thermal accommodations, who kindly offered
their facilities in order to develop this investigation. This
research was supported by the European Social Fund, grant
The authors have no conflict of interest with regard to this
References 1. Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147(8):755763. 2. Taaffe DR. Sarcopenia exercise as a treatment strategy. Aust Fam Physician. 2006;35(3):130134. 3. Paddon-Jones D, Rasmussen BB. Dietary protein recommendations and the prevention of sarcopenia. Curr Opin Clin Nutr Metab Care. 2009;12(1):8690. 4. Borst SE. Interventions for sarcopenia and muscle weakness in older people. Age Ageing. 2004;33(6):548555. 5. Doherty TJ. Invited review: Aging and sarcopenia. J Appl Physiol. 2003;95(4):17171727. 6. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39(4): 412423. 7. Laurent M, Daline T, Malika B, et al. Training-induced increase in nitric oxide metabolites in chronic heart failure and coronary artery disease: an extra benefit of water-based exercises? Eur J Cardiovasc Prev Rehabil. 2009;16(2):215221. 8. Tokmakidis SP, Spassis AT, Volaklis KA. Training, detraining and retraining effects after a water-based exercise program in patients with coronary artery disease. Cardiology. 2008;111(4):257264. 9. Tomas-Carus P, Gusi N, Hakkinen A, Hakkinen K, Raimundo A, Ortega-Alonso A. Improvements of muscle strength predicted benefits in HRQOL and postural balance in women with f ibromyalgia: an 8-month randomized controlled trial. Rheumatology (Oxford). 2009;48(9):11471151.
10. Munguia-Izquierdo D, Legaz-Arrese A. Assessment of the effects of aquatic therapy on global symptomatology in patients with fibromyal-gia syndrome: a randomized controlled trial. Arch Phys Med Rehabil. 2008;89(12):22502257.
11. Waller B, Lambeck J, Daly D. Therapeutic aquatic exercise in the treat-ment of low back pain: a systematic review. Clin Rehabil. 2009;23(1): 314.
12. Dundar U, Solak O, Yigit I, Evcik D, Kavuncu V. Clinical effectiveness of aquatic exercise to treat chronic low back pain: a randomized controlled trial. Spine (Phila Pa 1976). 2009;34(14):14361440.
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13. Tolomio S, Ermolao A, Lalli A, Zaccaria M. The effect of a multicom-ponent dual-modality exercise program targeting osteoporosis on bone health status and physical function capacity of postmenopausal women. J Women Aging. 2010;22(4):241254.
14. Bergamin M, Zanuso S, Alvar BA, Ermolao A, Zaccaria M. Is water-based exercise training sufficient to improve physical fitness in the elderly? Eur Rev Aging Phys A. Oct 2012;9(2):129141.
15. Hall J, Swinkels A, Briddon J, McCabe CS. Does aquatic exercise relieve pain in adults with neurologic or musculoskeletal disease? A systematic review and meta-analysis of randomized controlled trials. Arch Phys Med Rehabil. 2008;89(5):873883.
16. Rikli RE, Jones CJ. Development and validation of a functional fitness test for a community-residing adults. J Aging Phys Act. 1999;7(2): 129161.
17. Salamone LM, Fuerst T, Visser M, et al. Measurement of fat mass using DEXA: a validation study in elderly adults. J Appl Physiol. 2000;89(1): 345352.
18. Visser M, Fuerst T, Lang T, Salamone L, Harris TB. Validity of fan-beam dual-energy X-ray absorptiometry for measuring fat-free mass and leg muscle mass. Health, Aging, and Body Composition Study Dual-Energy X-ray Absorptiometry and Body Composition Working Group. J Appl Physiol. 1999;87(4):15131520.
19. Mitsiopoulos N, Baumgar tner RN, Heymsf ield SB, Lyons W,
Gallagher D, Ross R. Cadaver validation of skeletal muscle measure-ment by magnetic resonance imaging and computerized tomography. J Appl Physiol. 1998;85(1):115122.
20. Goodpaster BH, Kelley DE, Thaete FL, He J, Ross R. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J Appl Physiol. 2000;89(1):104110.
21. Larson-Meyer DE, Smith SR, Heilbronn LK, et al. Muscle-associated triglyceride measured by computed tomography and magnetic resonance spectroscopy. Obesity (Silver Spring). 2006;14(1):7387.
22. Butner KL, Creamer KW, Nickols-Richardson SM, Clark SF, Ramp WK, Herbert WG. Fat and muscle indices assessed by pQCT: relationships with physical activity and type 2 diabetes risk. J Clin Densitom. 2012;15(3):355361.
23. Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970;2(2):9298.
24. Chodzko-Zajko WJ, Proctor DN, Fiatarone Singh MA, et al. American College of Sports Medicine position stand. Exercise and physical activity for older adults. Med Sci Sports Exerc. 2009;41(7):15101530.
25. Cooper KH. A means of assessing maximal oxygen intake. Correlation between field and treadmill testing. JAMA. 1968;203(3):201204.
26. Barbosa TM, Marinho DA, Reis VM, Silva AJ, Bragada JA. Physiological assessment of head-out aquatic exercises in healthy subjects: a qualita-tive review. J Sports Sci Med. 2009;8:178189. 27. Berger L, Klein C, Commandeur M. Evaluation of the immediate and midterm effects of mobilization in hot spa water on static and dynamic
balance in elderly subjects. Ann Readapt Med Phys. 2008;51(2):8495.
28. Hale LA, Waters D, Herbison P. A randomized controlled trial to investigate the effects of water-based exercise to improve falls risk and physical function in older adults with lower-extremity osteoarthritis. Arch Phys Med Rehabil. 2012;93(1):2734.

29. Bocalini DS, Serra AJ, Murad N, Levy RF. Water- versus land-based exercise effects on physical fitness in older women. Geriatr Gerontol Int. 2008;8(4):265271.
30. Vale RG, de Oliveira RD, Pernambuco CS, de Meneses YP, Novaes Jda S, de Andrade Ade F. Effects of muscle strength and aerobic train-ing on basal serum levels of IGF-1 and cortisol in elderly women. Arch Gerontol Geriatr. 2009;49(3):343347.
31. Katsura Y, Yoshikawa T, Ueda SY, et al. Effects of aquatic exercise training using water-resistance equipment in elderly. Eur J Appl Physiol. 2010;108(5):957964.
32. Takeshima N, Rogers ME, Watanabe E, et al. Water-based exercise improves health-related aspects of fitness in older women. Med Sci Sports Exerc. 2002;34(3):544551.
33. Graef FI, Pinto RS, Alberton CL, de Lima WC, Kruel LF. The effects of resistance training performed in water on muscle strength in the elderly. J Strength Cond Res. 2010;24(11):31503156.
34. Tsourlou T, Benik A, Dipla K, Zafeiridis A, Kellis S. The effects of a twenty-four-week aquatic training program on muscular performance in healthy elderly women. J Strength Cond Res. 2006;20(4): 811818.
35. Rantanen T, Guralnik JM, Foley D, et al. Midlife hand grip strength as a predictor of old age disability. JAMA. 1999;281(6):558560.
36. Shinkai S, Watanabe S, Kumagai S, et al. Walking speed as a good predictor for the onset of functional dependence in a Japanese rural community population. Age Ageing. 2000;29(5):441446.
37. Cancela Carral JM, Ayn Prez C. Effects of high-intensity combined training on women over 65. Gerontology. 2007;53(6):340346.
38. Taunton JE, Rhodes EC, Wolski LA, et al. Effect of land-based and water-based fitness programs on the cardiovascular fitness, strength and flexibility of women aged 6575 years. Gerontology. 1996;42(4): 204210.
39. Delmonico MJ, Harris TB, Lee JS, et al. Alternative definitions of sarcopenia, lower extremity performance, and functional impairment with aging in older men and women. J Am Geriatr Soc. 2007;55(5): 769774.
40. Resende SM, Rassi CM, Viana FP. Effect of hydrotherapy in balance and prevention of falls among elderly women. Rev Bras Fisioter. 2008;12(1):5763.
41. MacIntyre NJ, Rombough R, Brouwer B. Relationship between calf muscle density and muscle strength, mobility and bone sta-tus in the stroke survivors with subacute and chronic lower limb hemiparesis. J Musculoskelet Neuronal Interact. 2010;10(4): 249255.
42. Granacher U, Muehlbauer T, Gruber M. A qualitative review of balance and strength performance in healthy older adults: impact for testing and training. J Aging Res. 2012;2012:708905.
43. Ruoti RG, Troup JT, Berger RA. The effects of nonswimming water exercises on older adults. J Orthop Sports Phys Ther. Mar 1994;
19(3):140145.44. Killgore GL, Coste SC, SE OM, Konnecke CJ. A comparison of the physiological exercise intensity differences between shod and barefoot submaximal deep-water running at the same cadence. J Strength Cond Res. Dec 2010;24(12):33023312.
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