2. are associated with preservation of cognitive function3
and
lower risk of incident cognitive impairment or Alzheimer’s
disease (AD).4,5
Similarly, lower muscle strength is associ-
ated with greater risk of incident AD.6
Experimental studies
support and extend these observational data.7
Although less well studied than aerobic exercise, pro-
gressive resistance training (PRT) can also benefit cogni-
tion in older adults with MCI8–10
and dementia,7
as well
as improving strength and aerobic capacity,11
but the
extent and mechanisms of cognitive benefit from PRT
require further study.11,12
The recent Study of Mental and
Resistance Training (SMART) demonstrated that 6 months
of PRT significantly improved global cognitive function in
individuals with MCI, with benefits in global and execu-
tive domains maintained over 18 months.9
Thus, the purpose of this investigation was to deter-
mine the effect of 6 months of PRT, cognitive training,
and sham versions of both on fitness (VO2peak and muscle
strength) in individuals with MCI and to determine
whether changes in aerobic capacity and strength over
6 months mediated changes in cognition. It was hypothe-
sized that PRT would improve VO2peak and muscle
strength significantly more than sham exercise (control),
increases in VO2peak and strength would be independently
associated with improvements in cognition after the 6-
month intervention, and increases in VO2peak and strength
would significantly mediate the effects of PRT on improve-
ments in cognition.
METHODS
The full protocol for SMART has been published,13
and
its primary cognitive outcomes have been reported.9
Informed consent was obtained from all participants. The
Royal Prince Alfred Human Research Ethics Committee
approved the study (X04–0064). The study was registered
with the Australia New Zealand Clinical Trials Registry
(ACTRN12608000489392).
Study Population and Eligibility Criteria
Participants were 100 community-dwelling adults aged 55
and older (32 men, 68 women) with MCI (according to
the Peterson criteria14
).
Randomization and Study Design
The SMART trial is a fully factorial, double-blind, double-
sham controlled trial. Participants were randomized into
one of four groups and underwent 6 months of progressive
resistance training (PRT) or sham exercise (Sham-Ex) and
cognitive training (CT) or sham cognitive training (Sham-
Cog), with follow-up over 78 months in progress.
Interventions
The complete study details have been published.9,13
Inter-
ventions were fully supervised in small groups of one to
10 people for 60 to 100 minutes and presented as poten-
tially beneficial. Training was reduced from 3 to 2 days
per week after the first 30 participants to minimize travel
burden. Participant flow through the study has been previ-
ously reported.9
The distribution of participants among
intervention groups is presented in Figure 1.
Control Group: Sham-Cog + Sham-Ex
Sham-Cog involved watching general documentary videos
followed by simple questions about the material. Sham-Ex
included stretching and seated calisthenics designed not to
notably increase heart rate or enhance aerobic capacity or
strength. No use of equipment or progression was
Figure 1. Randomization chart. Participants underwent a combination of progressive resistance training (PRT) or sham-exercise
and cognitive training or sham-cognitive training in a two-by-two factorial design. Overall, 49 participants underwent PRT, 51
underwent sham-exercise, 51 underwent cognitive training, and 49 underwent sham-cognitive training.
2 MAVROS ET AL. 2016 JAGS
3. included. A similar regimen has been shown to have no
effects on brain volume in older adults.15
PRT+Sham-Cog
High-intensity PRT was supervised at a ratio of one trainer
to four to five subjects. Participants were progressed con-
tinuously throughout the 6-month intervention, with one-
repetition maximums (1RMs) repeated every 3 weeks to
maintain intensity between 80% and 92% of current
strength.
CT+Sham-Ex
CT involved computer-based multimodal and multidomain
exercises targeting memory, executive function, attention,
and speed of information processing using the COGPACK
program (Marker Software, Ladenburg, Germany),16
a
suite of cognitive training programs that was used in a pre-
vious MCI trial.16
Combined PRT and CT
This group received the PRT and CT interventions, deliv-
ered sequentially in that order on the same day.
Assessment of Cognitive Outcomes
Details of the cognitive assessments have been published
previously.13
Global cognitive function was assessed using
the Alzheimer’s Disease Assessment Scale–cognitive sub-
scale (ADAS-Cog). Global, executive, and memory cogni-
tive domain scores were also calculated (Appendix S1).
Assessment of VO2peak
VO2peak was determined using indirect calorimetry during
a physician-administered, graded treadmill walking test
with electrocardiographic monitoring to volitional fatigue
(Appendix S1).
Assessment of Peak Strength
Testing was performed on pneumatic resistance machines
(Keiser Sports Health Equipment, Ltd., Fresno, CA). Par-
ticipants’ 1RM was determined on the leg press, knee
extension, hip abduction, chest press, and seated row.
Data Handling
Total tonnage over the intervention was calculated as the
summed total of all weight lifted during all sessions.
Changes in VO2peak were expressed as absolute and per-
centage changes. Because magnitudes and units for
strength tests varied, changes in strength were converted
into percentage changes for all five exercises. To combine
strength test data into lower, upper, and whole-body
domains, all strength test data at both time-points were
converted into z-scores.6
The average z-scores for leg press,
knee extension, and hip abduction were used to determine
lower body strength, and the average z-scores for chest
press and seated row were used to determine upper body
strength. Whole-body strength was calculated as the aver-
age z-score of all exercises. The standardized mean differ-
ences (SMDs) for changes in strength were calculated as
the differences between z-scores at 6 months and baseline.
Statistical Analysis
All data were assessed for normality before use in
parametric statistics. Baseline data are presented as
means Æ standard deviations (SDs). Absolute and percent-
age change scores are presented as adjusted marginal mean
differences with 95% confidence intervals (CIs). For com-
posite strength scores, baseline data are presented as
z-score Æ SD and changes as SMD (95% CI). All statisti-
cal models were adjusted for age and sex, plus education
for models including cognitive outcomes and the baseline
score of the dependent variable for analysis of changes.
Baseline comparisons were performed using one-way anal-
ysis of variance. Associations between continuous variables
at baseline were explored using multiple linear regression
models. General linear models were used to assess changes
in VO2peak and strength, with PRT and CT entered as fac-
tors. Relationships between changes in VO2peak or strength
and changes in cognitive outcomes were assessed using
multiple linear regression models. Because of the associa-
tion between PRT and strength, cognition, and VO2peak,
multiple linear regression analyses were rerun stratified
according to group allocation to PRT. Stratification was
decided upon a priori because of previously reported
improvements in cognitive function in individuals random-
ized to receive PRT.9
Next, the PROCESS macro for SPSS
version 2.13.2 (Andrew Hayes, Columbus, OH)17
was
used to determine the indirect effect of PRT on cognitive
function through increases in lower body strength. This
method estimates the indirect effects of PRT (mediated
through changes in lower body strength) on changes in
cognitive function while accounting for the direct effects
PRT has on increases in lower body strength and cognitive
function. This method provides unstandardized estimates
of the direct and indirect pathways, along with corre-
sponding 95% CIs. Bootstrapping was used, with 5,000
resampling iterations. More information on the PROCESS
macro can be found in Appendix S1. Sequential models
were created with changes in ADAS-Cog, global domain,
and executive domain as the dependent variables and
changes in lower body strength as the mediating variable.
Models were repeated to include an interaction between
PRT and lower body strength to determine whether PRT
moderated the mediating effect of lower body strength on
cognition. Models were adjusted for age, sex, education,
and baseline score of the dependent variable. These vari-
ables were selected because of the significant associations
between lower body strength and these dependent vari-
ables in multiple linear regression models. To determine
reverse causality, a second model included change in lower
body strength as the dependent variable and change in
cognition as the mediating variable. Results from media-
tion analysis are considered significant if the CIs do not
include 0. Although the report on the primary outcomes9
examined the effect of the combined intervention, it was
not hypothesized that the combination of CT and PRT
would have a significant effect on strength or fitness
JAGS 2016 STRENGTH GAINS MEDIATE COGNITIVE BENEFITS 3
4. beyond that of PRT alone. Thus, models examining the
effect of the combined intervention were not run. Finally,
linear regression analyses were constructed to explore
associations between total tonnage and strength gains of
participants receiving PRT. A final model was constructed
with changes in cognitive function as the dependent vari-
able and changes in strength and total tonnage as indepen-
dent variables, to determine whether these associations
were independent. All data were analyzed using SPSS ver-
sion 22 (IBM Corp., Armonk, NY). P < .05 was consid-
ered statistically significant.
RESULTS
Participant Characteristics
Participant flow through the study and baseline character-
istics have been previously reported, with no difference
observed between groups on any cognitive outcome.9
VO2peak data were unavailable for one participant at base-
line because of incomplete collection. The same participant
subsequently dropped out of the study, along with an
additional seven participants. VO2peak data were unavail-
able in three of the remaining 92 participants. Therefore,
99 VO2peak tests were available at baseline and 89 at
6 months. Baseline values for VO2peak and peak strength
are presented in Table 1. Participants in the PRT group
tended to have greater leg press strength (P = .06) than
those in the Sham-Ex group.
Associations Between VO2peak, Strength, and Cognition
at Baseline
At baseline, neither VO2peak nor strength was associated
with cognition (P > .05). The data are presented and dis-
cussed in Table S1.
Changes in Cognitive Function
Changes in cognitive function were presented in the report
on the primary outcomes.9
Briefly, PRT significantly
improved ADAS-Cog, with normal cognitive scores
achieved in 47% of all participants who received PRT and
a trend for improvement in executive function. Data are
presented in Table 2.
Changes in VO2peak
Absolute (1.8 mL/kg per minute, 95% CI = 0.6–3.0,
P = .003) and relative (8.0%, 95% CI = 2.2–13.8,
P = .007) change in VO2peak increased significantly more
after PRT than with Sham-Ex. Unexpectedly, absolute
(À1.4 mL/kg per minute, 95% CI = À2.6 to À0.2,
P = .02) and relative (6.6%, 95% CI = À12.6 to À1.0,
P = .02) change in VO2peak fell more in participants under-
going CT than those undergoing Sham-Cog (Table 1).
Changes in Strength
All strength measures improved significantly in participants
undergoing PRT, with relative strength increases ranging
from 23% to 52% and moderate to large z-score changes
in upper, lower, and whole-body strength of 0.69 to 0.94
(P < .05) (Table 1).
Association Between Changes in VO2peak and Changes
in Cognitive Function
Changes in VO2peak were not associated with changes in
ADAS-Cog, global domain, executive domain, or memory
domain scores in the whole cohort (P > .05) or after strati-
fying according to exposure to PRT or Sham-Ex (Tables
S2–S4; P > .05), so mediation analysis was not performed.
Association of Changes in Strength with Changes in
Cognitive Function
Increases in lower body strength were associated with
improvements in ADAS-Cog (r = À0.24, P = .01), global
(r = 0.27, P = .02) and executive domain (r = 0.21,
P = .04), with a trend for memory domain scores
(r = 0.20, P = .06). Changes in upper body and whole
body strength were not associated with changes in cogni-
tive outcomes (P > .05), apart from a trend between
increases in whole body strength and an increase in global
(r = 0.22, P = .05) and executive domains (r = 0.20,
P = .06) (Table S2). After stratifying by exposure to PRT
or Sham-Ex, the associations between lower body strength
and improvements in ADAS-Cog (r = À0.29, P = .02), glo-
bal (Figure 2A; r = 0.38, P = .01), executive (Figure 2B;
r = 0.31, P = .05) and memory domains (r = 0.33,
P = .05) were strengthened within those who received
PRT. Additionally, improvements in global and executive
domain scores were now associated with increases in
upper body (Figure 2C, D; r = 0.28, P = .07 and r = 0.33,
P = .03, respectively) and whole body strength (Figure 2E,
F; r = 0.43, P < .01 and r = 0.41, P = .01, respectively).
No associations were observed in individuals randomized
to receive Sham-Ex (Table S4; P > .05).
Mediation Analysis of Strength, PRT, and Cognitive
Function
Because PRT improved cognition9
and strength, whether
strength changes mediated the cognitive benefits of PRT
was examined. Mediation analysis revealed that there was a
significant indirect effect of PRT through increases in lower
body strength on improvements in ADAS-Cog (Figure 3A)
(indirect effect: b = À0.64, 95% CI = À1.38 to À0.0004;
direct effect: b = À0.36, 95% CI = À1.51–0.78) and global
domain (Figure 3B) (indirect effect: b = 0.12, 95%
CI = 0.02–0.22; direct effect: b = À0.003, 95%
CI = À0.17–0.16). Finally, the indirect effect of PRT
through increases in lower body strength on executive func-
tion was not significant (Figure 3C) (indirect effect:
b = 0.11, 95% CI = À0.04–0.26; direct effect: b = 0.03,
95% CI = À0.17–0.23). There was no moderating effect of
PRT on the mediation of ADAS-Cog (b = À0.55, 95%
CI = À2.12–1.10), global domain (b = 0.19, 95%
CI = À0.36–0.39), or executive domain (b = 0.08,
95% CI = À0.39–0.55) through lower body strength
change. These data suggest that the mediation of cognitive
function through lower body strength was similar for all
levels of strength gain. To investigate reverse causality,
4 MAVROS ET AL. 2016 JAGS
6. change in lower body strength was examined with PRT as
the direct factor and change in ADAS-Cog and change glo-
bal domain as mediators in sequential models, adjusted for
age, sex, and baseline lower body strength. Changes in
ADAS-Cog (indirect effect: b = 0.04, 95% CI = À0.01–
0.16; direct effect: b = 0.89, 95% CI = 0.63–1.14) and
global domain (indirect effect: b = 0.03, 95% CI = À0.01–
0.15; direct effect: b = 0.89, 95% CI = 0.64–1.14) did not
Table 2. Mean Cognitive Outcome Scores at Baseline and After the Progressive Resistance Training (PRT) and
Cognitive Training (CT) Interventions
Cognitive Outcome
PRT Sham-Ex P-Valuea
CT Sham-Cog P-Valuea
Mean Æ SD Mean Æ SD
Global function
ADAS-Cog
Baseline 8.1 Æ 3.2 8.4 Æ 3.2 8.4 Æ 3.2 8.2 Æ 3.2
6 months 5.9 Æ 3.3 7.2 Æ 3.2 .046 6.7 Æ 3.2 6.3 Æ 3.3 .66
Global domain
Baseline 0.04 Æ 0.6 À0.04 Æ 0.6 À0.2 Æ 0.6 0.03 Æ 0.6
6 months 0.21 Æ 0.6 0.0 Æ 0.6 .17 0.13 Æ 0.6 0.11 Æ 0.6 .32
Executive function
WAIS-III Similarities
Baseline 19.4 Æ 4.8 18.5 Æ 4.6 8.4 Æ 3.2 8.2 Æ 3.2
6 months 21.4 Æ 4.9 20.3 Æ 4.6 .77 6.7 Æ 3.2 6.3 Æ 3.3 .89
WAIS-III Matrices
Baseline 12.6 Æ 4.6 11.7 Æ 4.6 12.0 Æ 4.6 12.4 Æ 4.6
6 months 14.1 Æ 4.8 11.5 Æ 4.6 .06 12.5 Æ 4.6 13.1 Æ 4.9 .79
Category fluency
Baseline 18.3 Æ 4.4 19.5 Æ 4.4 19.2 Æ 4.4 18.5 Æ 4.5
6 months 19.5 Æ 4.6 19.3 Æ 4.5 .06 19.6 Æ 4.5 19.3 Æ 4.7 .62
COWAT
Baseline 38.6 Æ 11.3 37.7 Æ 11.3 38.2 Æ 11.3 38.0 Æ 11.3
6 months 41.5 Æ 11.7 42.4 Æ 11.4 .29 40.8 Æ 11.4 43.1 Æ 11.8 .14
Executive domain
Baseline 0.03 Æ 0.62 À0.02 Æ 0.62 0.02 Æ 0.62 À0.01 Æ 0.62
6 months 0.32 Æ 0.64 0.14 Æ 0.63 .09 0.21 Æ 0.62 0.25 Æ 0.64 .39
Memory function
List Learning Memory Sum
Baseline 20.6 Æ 3.8 18.8 Æ 3.8 19.4 Æ 3.8 19.9 Æ 3.8
6 months 21.7 Æ 4.0 19.4 Æ 3.9 .53 20.3 Æ 3.8 20.9 Æ 4.1 .95
BVRT
Baseline 6.0 Æ 1.7 6.2 Æ 1.7 5.9 Æ 1.7 6.0 Æ 1.7
6 months 6.2 Æ 1.8 5.6 Æ 1.7 .04 6.3 Æ 1.7 5.8 Æ 1.8 .06
Immediate Memory I
Baseline 11.5 Æ 3.8 11.1 Æ 3.8 10.8 Æ 3.8 11.7 Æ 3.8
6 months 10.1 Æ 4.0 10.1 Æ 3.9 .55 10.1 Æ 3.8 10.1 Æ 4.1 .23
Delayed Memory II
Baseline 10.0 Æ 4.1 8.4 Æ 4.2 8.7 Æ 4.2 11.7 Æ 4.1
6 months 8.6 Æ 4.3 8.6 Æ 4.2 .03 8.8 Æ 4.2 10.1 Æ 4.4 .06
Memory domain
Baseline 0.10 Æ 0.65 À0.09 Æ 0.65 À0.09 Æ 0.65 0.11 Æ 0.65
6 months 0.03 Æ 0.67 À0.17 Æ 0.66 .88 À0.06 Æ 0.66 À0.09 Æ 0.68 .02
Speed and attention: Symbol Digit Modalities Test
Baseline 44.9 Æ 9.4 43.5 Æ 9.4 45.3 Æ 9.4 43.1 Æ 9.4
6 months 47.0 Æ 9.7 45.5 Æ 9.5 .89 47.2 Æ 9.5 45.3 Æ 9.7 .84
Cognitive outcomes for the Study of Mental and Resistance Training were previously reported.9
N = 100 for all outcomes. All data were normally distributed, and raw data were used in analyses.
Domain scores represent the average of the z-scores of each component test.
Z-score at baseline = individual value at baseline minus mean value for baseline cohort/standard deviation (SD) for baseline cohort.
Z-score at 6 months = individual value at 6 months minus mean value for baseline cohort/SD for baseline cohort.
Memory Domain was calculated by averaging the z-scores of component memory tests: Alzheimer’s Disease Assessment Scale–cognitive subscale (ADAS-
Cog) List Learning Memory Sum, Logical Memory I (Immediate), Logical Memory II (Delayed), and Benton Visual Retention Test (BVRT).
Executive domain was calculated by averaging the z-scores of component executive function tests: Wechsler Adult Intelligence Scale (WAIS)-III Similarities,
WAIS-III Matrices, Controlled Oral Word Association Test (COWAT), and category fluency.
Global Cognition Domain was calculated by averaging the z-scores of all tests except ADAS-cog Memory Sum, because it is a subscale within the ADAS-
Cog and therefore already included. The sign was reversed on the ADAS-Cog z-score so that positive z-score changes indicate improvement for all tests
and domains.
a
Group-by-time interaction.
6 MAVROS ET AL. 2016 JAGS
7. significantly mediate the effect of PRT on changes in lower
body strength, with a significant, large direct effect of PRT
on strength gains persisting. Thus, lower body strength
changes mediated large portions of the cognitive benefits of
PRT for ADAS-Cog and global domain scores, with little
evidence of reverse causality.
Factors Associated with Improvements in Strength
In the PRT group, total tonnage lifted during the interven-
tion was associated with increases in upper (correlation
coefficient (r) = 0.48, P = .008, lower (r = 0.40, P = .04),
and whole-body strength (r = 0.50, P = .008). Total ton-
nage was also associated with changes in global cognitive
domain (r = 0.29, P = .04), but not executive domain,
memory domain, or ADAS-Cog (P > .05). Finally, when
total tonnage was entered into the same model as changes
in strength, improvements in lower (r = 0.34, P = .048)
and whole-body (r = 0.38, P = .03) strength were indepen-
dently associated with improvements in global domain,
with the effect of total tonnage attenuated and no longer
significant (P = .38).
DISCUSSION
As hypothesized, improvements in strength mediated
improvements in ADAS-Cog and global domain (Fig-
ure 3A–C). A similar pattern was observed for executive
Figure 2. Association between changes in lower, upper, and whole-body strength and changes in global and executive domain in
the progressive resistance training (PRT) group. Regression analyses were performed with participants receiving PRT only. All
analyses were adjusted for age, sex, education, and baseline score of the dependent variable. (A) Correlation coefficient
(r) = 0.38, P = .01; (B) r = 0.31, P = .05; (C) (r = 0.28, P = .07; (D) r = 0.33, P = .03; (E) r = 0.43, P = .008; (F) r = 0.41,
P = .01.
JAGS 2016 STRENGTH GAINS MEDIATE COGNITIVE BENEFITS 7
8. function, although not significant. No effect was observed
on memory domain. This is consistent with the primary
outcomes of the SMART trial, which showed that PRT
significantly improved ADAS-Cog scores, with a trend
observed for executive function and no effect on memory
(Table 2).9
Similarly, a previous study showed that twice-
weekly PRT, but not aerobic training, significantly
improved cognitive function in older women with probable
MCI.9,18
Thus, the current study’s empirical data extend
epidemiological literature linking strength with rate of cog-
nitive decline and incident dementia.6
To the knowledge of
the authors, this is the first study to examine the associa-
tion between improvements in strength and cognition after
PRT in MCI. The results are in agreement with a 3-month
uncontrolled study comparing PRT with multicomponent
exercise (neuromuscular coordination, balance, agility,
cognitive executive control) in healthy older adults19
in
which isokinetic knee flexor torque increased significantly
in the PRT group and mediated the significant effect of
PRT on executive function. Thus, the current study pro-
vides novel data on the potential mechanistic effects of
PRT on cognition in older adults with MCI that warrant
further investigation.
Six months of PRT significantly improved strength
(SMD 0.69–0.99), similar to effects reported previously in
healthy elderly adults (SMD 0.84).11
Additionally, VO2peak
increased by 1.8 mL/kg per min (8.0%) with PRT. This is
the first study to report the effects of PRT on VO2peak in
older adults with MCI. The improvements in VO2peak were
consistent with those reported in a Cochrane review of
PRT in older adults (mean improvement 1.5 mL/kg per
minute, 95% CI = 0.49–2.51 mL/kg per minute) from 14
trials,11
comparable to the 7.78% increase reported after
1 year of aerobic training in healthy older adults20
and
slightly less than the 11% increase reported after 6 months
of aerobic training in older adults with MCI.21
Thus, the
current study demonstrated that baseline cognitive impair-
ment does not preclude robust physical adaptations to
PRT and that some adaptations (muscle strength improve-
ments) are linked to cognitive adaptations.
When analyses were restricted to the PRT group, the
relationships between the magnitude of strength gain and
cognitive benefits were stronger (Figure 2A–F), and
strength gains were related to dose of PRT received,
expressed as total tonnage. Collectively, these results sug-
gest not only that is PRT effective in improving cognitive
function, but also that PRT interventions should be
optimized to maximize strength gains in order to maxi-
mize improvements in cognitive function. For example,
high-intensity resistance training has been shown to be
Figure 3. Mediation model of lower body strength and global
and executive domain. (A) Gains in lower body strength sig-
nificantly mediated the effect of progressive resistance training
(PRT) on Alzheimer’s Disease Assessment Scale-cognitive sub-
scale (ADAS-Cog) score (indirect effect: b = À0.64, 95% con-
fidence interval (CI) = À1.38 to À0.004; direct effect:
b = À0.37, 95% CI = À1.51–0.78). (B) Gains in lower body
strength significantly mediated the effect of PRT on global
domain (indirect effect: b = 0.12, 95% CI = 0.02–0.22; direct
effect: b = À0.003, 95% CI = À0.17–0.16). (C) The mediat-
ing effect of lower body strength on executive domain after
PRT was not significant (indirect effect: b = 0.11, 95%
CI = À0.04–0.26; direct effect: b = 0.03, 95% CI = À0.17–
0.23). Solid lines indicate direct pathway; dashed lines indi-
cate indirect pathway. Data are presented as unstandardized
beta (b) coefficients and 95% CIs after bootstrapping with
5,000 sampling iterations. In each case, the models show the
total effect of PRT on cognitive function (top) and the direct
and indirect effects after mediation analysis with lower body
strength (bottom). a
Significant indirect effect of lower body
strength.
8 MAVROS ET AL. 2016 JAGS
9. more effective than moderate- and low-intensity resistance
training interventions in improving strength in older
adults.22
Thus, higher-intensity interventions may produce
optimal outcomes for strength and cognition.
Given the novelty of these findings, future investiga-
tions should be directed toward identification of potential
mechanisms linking adaptations in strength and cognitive
function after PRT. For example, insulin-like growth
factor 1 (IGF-1) deficiency has been linked to cognitive
dysfunction and incident dementia23
in older adults,24,25
whereas a 24-week resistance training program in older
adults was shown to increase IGF-1 concomitant with
improvements in cognitive function.26
Another possible
mechanism is increases in brain-derived neurotrophic
factor (BDNF). Increases in BDNF have been shown to
mediate the effects of a 12-month walking program sig-
nificantly in cognitively normal adults,27
consistent with
previously reported animal data linking voluntary exer-
cise, BDNF, and neuroplasticity.28
High cortisol levels
have been associated with worse cognitive function and
smaller brain volumes in older adults without dementia,29
as well as memory impairment and hippocampal atro-
phy,30
although data on the effect of chronic resistance
training on basal cortisol levels are conflicting, with stud-
ies showing reductions in cortisol or no change.31
Other
possible mechanisms include reduction in homocys-
teine,32–34
insulin sensitivity, and systemic inflammation.35
Worse cognition has been found to be associated with
greater declines in strength, with reductions in strength
potentially mediating the association between poor cogni-
tion and subsequent activity of daily living disability.36
However, the models in the current study do not support
a mediating effect of cognition on strength change after a
PRT intervention.
Despite improvements in VO2peak, no associations were
found between improvements in VO2peak and improvements
in cognitive function. Although epidemiological evidence
shows an association between VO2peak and cognition,3–5
the change in cognition and aerobic capacity after 1 year of
aerobic training or a stretching, toning, and balance con-
trol activity were unrelated to each other in a study of
healthy older adults,20
suggesting that other pathways, such
as increases in BDNF,27
might be operative. In addition, a
previous study19
did not report if changes in aerobic capac-
ity after multicomponent exercise or resistance training
mediated executive function. Thus, the current findings
support and extend existing experimental literature
suggesting that improvements in VO2peak do not mediate
improvements in cognition after exercise training in older
adults, in contrast to the many epidemiological associations
between aerobic fitness and cognitive function.2
There are a few limitations to this study. Technical
difficulties required the estimation of VO2peak from indi-
rect calorimetry up to 60 seconds after the cessation of
treadmill exercise, which may have resulted in minor
increases in VO2peak. Although the ADAS-Cog is a valid
assessment tool for dementia and global cognition, it
should not be considered a comprehensive neurocognitive
battery. Finally, the mediation analyses depended on the
assumption of no unmeasured confounders of the hypothe-
sized mediators and outcomes. Because it is not possible to
randomize at the level of strength gains (mediator) to
PRT, this assumption cannot be confirmed.
CONCLUSION
Older adults with MCI are at high risk of further cognitive
decline, along with physical frailty and disability. Anabolic
exercise has clinically relevant benefits for cognitive func-
tion, muscle strength, and aerobic capacity in this cohort
—a spectrum of benefits not observed with cognitive train-
ing or sham exercise, and strength gains mediated the cog-
nitive benefits observed in large part. Future studies are
required to understand the underlying physiological mech-
anisms linking skeletal muscle physiology and function
with brain morphology and neuroplasticity in this vulnera-
ble cohort and to investigate the potential of exercise to
reduce incident dementia itself.
ACKNOWLEDGMENTS
This work fulfilled a portion of the degree requirements
for PhD for NG and CS. Donations for participant
rewards were received from Gregory and Carr Funerals.
We would like to thank the extraordinary generosity and
commitment of the participants and their families, who
devoted their time and continue to participate in
SMART.
This study was funded by National Health and Medi-
cal Research Council (NHMRC) of Australia Dementia
Research Grant 512672. Additional funding for a research
assistant position was sourced from the NHMRC Program
(568969), and the project was supported by the University
of Sydney and University of New South Wales. YM is sup-
ported as a postdoctoral research associate by the CRN
for Advancing Exercise and Sport Science. MV was sup-
ported by a University of New South Wales Vice Chancel-
lor’s Fellowship and a NHMRC Clinical Career
Development Fellowship (1004156).
Conflict of Interest: MV has received honoraria for
speaking at events sponsored by Pfizer and The Brain
Department Pty Ltd. HB has been an investigator for Pfi-
zer, Novartis, Janssen, Lilly, Medivation, Sanofi,and Ser-
vier and a sponsored speaker for Pfizer, Novartis, Janssen,
and Lundbeck and is on advisory boards for Pfizer, Novar-
tis, Janssen, Lundbeck, Merck, and Baxter. BB is a mem-
ber of advisory boards or gave presentations for
AstraZeneca, Lundbeck, Pfizer, Servier, and Wyeth for
which he has received honoraria.
Author Contributions Study concept and design:
Mavros and Fiatarone Singh. Acquisition of data: Gates,
Wilson, Jain, Meiklejohn, Suo, Baker, Foroughi and Wang.
Analysis and interpretation of data: Mavros, Gates and
Fiatarone Singh. Drafting of the manuscript: Mavros and
Fiatarone Singh. Critical revision of the manuscript for
important intellectual content: Brodaty, Singh, Baune, Suo,
Sachdev, Valenzuela, Fiatarone Singh. Statistical analysis:
Mavros. Obtained funding: Brodaty, Wen, Singh, Baune,
Sachdev, Valenzuela, Fiatarone Singh. Administrative,
technical, and material support: Jain, Meiklejohn, Suo.
Study supervision: Gates, Brodaty, Sachdev, Valenzuela,
Fiatarone Singh.
JAGS 2016 STRENGTH GAINS MEDIATE COGNITIVE BENEFITS 9
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SUPPORTING INFORMATION
Additional Supporting Information may be found in the
online version of this article:
Table S1. Association Between Maximal Aerobic
Capacity (VO2peak), Peak Strength, and Cognitive Func-
tion at Baseline
Table S2. Association Between Changes in Maximal
Aerobic Capacity (VO2peak), Changes in Peak Strength,
and Changes in Cognitive Function in the Whole Cohort
Table S3. Association Between Changes in Maximal
Aerobic Capacity (VO2peak), Changes in Peak Strength,
and Changes in Cognitive Function in the Progressive
Resistance Training (PRT) Group Only
Table S4. Association Between Changes in Maximal
Aerobic Capacity (VO2peak), Changes in Peak Strength,
and Changes in Cognitive Function in the Sham Exercise
Group Only
Appendix S1. Assessment of cognitive outcomes.
Please note: Wiley-Blackwell is not responsible for the
content, accuracy, errors, or functionality of any support-
ing materials supplied by the authors. Any queries (other
than missing material) should be directed to the corre-
sponding author for the article.
10 MAVROS ET AL. 2016 JAGS