Research Question
Clearly and concisely states your group research question as formulated which is : Effects of Exercise on Clients with Mental Health Disorders
Overview of the Problem: Statement of Problem in General
1. How many patients have mental health problems in the US?
2. What are the common mental health diseases in the U.S.?
3. What are common treatment modalities for mental health disorders in general?
Significance of Problem: Statement of Specific Problem that warrants your Research Question
1. What are the common side effects medications prescribed?
2. What are common barriers to exercising in this population?
3. Describe the rationale for why your group needs to explore other interventions to enhance exercise for those with mental health issues.
©Journal of Sports Science and Medicine (2019) 18, 399-404
http://www.jssm.org
Received: 30 January 2019 / Accepted: 02 May 2019 / Published (online): 01 August 2019
`
A Long-Term Exercise Intervention Reduces Depressive Symptoms in Older
Korean Women
Youngyun Jin, Donghyun Kim, Haeryun Hong and Hyunsik Kang
College of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea
Abstract
Despite its prevalence and significance, late life depression
is underrecognized and undertreated. This study aimed to
investigate the effect of a long-term exercise intervention
on depressive symptoms in older Korean women. Thirty
older women were assigned to exercise (n = 15, age of 80.8
± 3.8 years) or control group (n = 15, age of 78.6 ± 3.2
years). The exercise group underwent a resistance exercise
plus walking two times weekly on nonconsecutive days for
6 months. Post-intervention change in depressive symp-
toms was regarded as the primary outcome. Secondary out-
comes included changes in body composition and physical
performance. Repeated measures analysis of variance
showed significant group by time interactions for depres-
sive symptoms (F(1,23) = 37.540, p < 0.001), percent body
fat (F(1,23) = 6.122, p = 0.021), lean body mass (F(1,23) =
5.662, p = 0.026), waist circumference (F(1,23) = 4.330, p
= 0.049), handgrip strength (F(1,23) = 10.114, p = 0.005),
6-min walking (F(1,23) = 28.988, p < 0.001), and 2.44-m
Up & Go (F(1,23) = 28.714, p < 0.001). The current find-
ings support regular exercise as a therapeutic strategy to
promote overall and mental health in older Korean women
with depressive symptoms.
Key words: Aging; functional capacity; mental health;
physical activity.
Introduction
Depression is a worldwide problem and is projected to be
the second leading cause of disability worldwide in 2020
(Whiteford et al., 2013). In particular, late life depression
(LLD) is one of the most prevalent mental disorders in
older adults, with prevalence estimates ranging from 4.6 to
9.3% (Luppa et al., 2012). LDD is associated with in-
creased health care costs, increased morbidity and suicidal
risks, impairments in physical, social, and cognitive func-
tioning, and increased dementia (Georgakis et al., 2016).
Despite its prevalence and clinical significance,
however, LLD is underrecognized and undertreated due to
its complicated etiologies, and often being viewed as an in-
evitable part of the aging process.
Antidepressants, such as selective serotonin re-up-
take inhibitors, have been the most common treatment
choice (Allan and Ebmeier, 2018). However, the pharma-
cologic options are unfortunately often accompanied by
many side effects, including falls, cardiovascular events,
fractures, epilepsy, hyponatremia, and increased risk of all-
cause mortality (Stubbs, 2015). Hence, alternative strate-
gies for treatment of LLD are needed.
Whether exercise improves depressive symptoms in
older populations has not been consistently demonstrated
in trials; some have been positive (Williams and Lord,
1997), whereas others have yielded null effects (Jette et al.,
1996). In a cluster-randomized controlled trial, for exam-
ple, Underwood et al. found that a moderately intense ex-
ercise program did not reduce depressive symptoms in 65
years or older residents in care homes (Underwood et al.,
2013). In a meta-analysis of seven exercise intervention
studies, Bridle and his colleagues found a small to moder-
ate effect (standardized mean difference = -0.34, 95%
confidence interval -0.52 to -0.17) of exercise on depres-
sion in older adults (Biddle et al., 2015). Conversely, exer-
cise may have beneficial effects as an adjunctive treatment
for older adults who partially respond to antidepressant
medications (Mura and Carta, 2013).
The lack of consistent results from exercise trials in
patients with LLD appears multifactorial. In particular,
previous research has shown positive effects of exercise on
depression but studies have mainly focused on the short-
term effects; few have examined the long-term effects
(Helgadóttir et al., 2017). In this study, therefore, we report
the beneficial effects of a long-term exercise intervention
on depressive symptoms in older Korean women.
Methods
Overall study design is illustrated in Figure 1. At baseline,
a total of 30 older women were recruited from local retire-
ment centers via flyers and advertisement. Study partici-
pants attended an orientation session where they received
an explanation regarding the study and underwent a screen-
ing for study participation.
Eligibility criteria were: (a) age of 75 years or older;
(b) having clinically significant depressive symptoms but
not taking anti-depressants; (d) no pain in the knee(s) on
most days of the month; or (e) no difficulty with the fol-
lowing due to knee pain: walking one-quarter mile; climb-
ing stairs; getting in and out of a car, bath, or bed; rising
from a chair; or performing shopping, cleaning, or self-care
activities. Exclusion criteria were: (a) presence of a medi-
cal condition that precluded participation in a safe exercise
program (e.g., recent myocardial infarction or stroke, se-
vere chronic obstructive pulmonary disease, congestive
heart failure); (b) inflammatory arthritis; (c) regular partic-
ipation in exercise (more than once a week for at least 20
minutes); or (d) inability to walk without assistance.
Research article
Exercise and mental health
400
Figure 1. Flow chart of the study design.
Afterward, participants completed baseline assess-
ments including depressive symptoms, physical fitness ca-
pacity, and body composition. Participants were then as-
signed to either control (n = 15, mean age of 78.6 ± 3.2
years) or exercise (n = 15, mean age of 80.8 ± 3.6 years)
group (p value for age = 0.120). The sample size for each
group was determined so that the study would be suffi-
ciently powered to detect group differences in the primary
outcome of depressive symptoms in this study. Based on
our preliminary data, we calculated that a sample size of 12
participants per group would provide 85% power with
probability of alpha error of 0.05 for detecting a statisti-
cally significant difference in the primary outcome be-
tween the two groups.
Individuals in the exercise group underwent a 6-
month exercise program, while individuals in the control
group maintained their sedentary lifestyles. Then, partici-
pants had post-intervention assessments using the same
procedures as at baseline. Two participants in the exercise
group refused to participate in the exercise intervention due
to personal reasons, and three participants in the control
group refused post-intervention assessment. Consequently,
data obtained from 13 (retention rate of 90%) and 12 par-
ticipants (retention rate of 85%) out of the exercise and
control groups, respectively, were used for statistical anal-
yses.
Informed consent was obtained from all participants
prior to study participation. The Institutional Review
Board, in accordance with the World Medical Association
Declaration of Helsinki, reviewed and approved the study
protocol (SKKU 2017-06-009).
Assessment of depressive symptoms
The Korean version of the Short form of the Geriatric De-
pression Scale (SGDS-K) was administered as a screening
measure for depression. This is a 15-item self-report binary
response format (yes/no) with scores ranging from 0 to 15.
Depression was defined when diagnosed by a physician in
participants with a score of 8 or higher on the 15-item,
short-form of the self-administered GDS-K of which its va-
lidity and reliability were previously tested and reported
(Bae and Cho, 2004).
Measurement of handgrip strength and physical fitness
capacity
Handgrip strength was measured to the nearest kilogram of
each participant’s dominant hand using a hand grip dyna-
mometer (TANITA No. 6103, Tokyo, Japan). Participants
performed 2 trials with 1-minute pause between each trial,
and verbal encouragement was given during each trial. The
best value of 2 trials was taken as the score for maximal
voluntary handgrip strength (kg).
Physical fitness capacity was measured using the
senior fitness test battery, as described previously (Rikli
and Jones, 2013). Briefly, the senior fitness test assesses
the physiological capacity for performing normal daily ac-
tivities independently and safely without the appearance of
fatigue. After 10 minutes of warm-up (i.e., walking around
indoor tracks and stretching), participants performed the
SFT in the following order: (1) chair stand for 30 seconds
to assess lower-body strength (number of stands), (2) arm
curl for 30 seconds to assess upper-body strength (number
of curls), (3) chair-sit-and-reach to assess flexibility of
lower extremities (cm +/-), (4) the 2.44-m up-and-go to as-
sess agility as an index of basic mobility skill (seconds),
and (5) a 6-minute walk test to assess aerobic capacity (me-
ters). Test validity and reliability of the senior fitness test
was previously published (Rikli and Jones, 2013).
Measurement of body composition
Height and weight were recorded with a stadiometer at-
tached to a scale (Jenix, Seoul, Korea). Body mass index
(kgm2) was calculated as the ratio of weight (kg) to
squared height (m2). Percent body fat and lean body mus-
cle were assessed using the bioelectrical impedance Inbody
720 (Biospace, Seoul, Korea). Bioelectrical impedance
was chosen for its ease of use, less invasive nature, and
good validity and reliability for assessment of body com-
position in the older adults (Kelly Metcalfe, 2012). In ad-
dition, waist circumference was measured to the nearest
0.1cm at the umbilicus level between the lower rib and the
iliac crest.
Exercise intervention
Participants in the exercise group underwent a six-month
Jin et al.
401
exercise intervention consisting of three times of resistance
exercise (i.e., Monday, Wednesday, and Friday) and two
times of walking (i.e., Tuesday and Thursday) on noncon-
secutive days each week under supervision of a certified
exercise leader and two exercise scientists.
Resistance exercise was performed in a group and
in the following order to provide a stimulus to all the major
muscle groups; chest press, leg press and extension, shoul-
der press, abdominal curl, and biceps curl using a low-load,
elastic band (TheraBand, Performance Health, Akron, OH,
USA). Resistance exercise was performed using two sets
of 15-20 repetitions.
Walking, with a duration of 20 minutes per session
and an intensity of 40-50% of heart rate reserve, was per-
formed in a group on a walking trail in a public park. Dur-
ing each session, the prescribed exercise intensity was
monitored by wearing a heart monitor (Polar OH1 HR Sen-
sor, Polar, Finland).
Additionally, for the first three months, both exer-
cise and control groups received monthly education ses-
sions by a nurse on issues related to arthritis management
so that participants could have sufficient skills and
knowledge to cope with the disease. Later, participants
were called bimonthly to maintain health updates and pro-
vide mental and social support.
Statistical analyses
The Shapiro–Wilk test was performed to examine the nor-
mality of data (p>0.05). The repeated measures analysis of
variance (RM-ANOVA) was used to compare any signifi-
cant differences in the measured parameters from pre- and
post-tests between the two groups while controlling for
baseline values as covariates. In addition, paired t-test with
Bonferroni correction was used to test any significant
within-group differences in the parameters from pre- and
post-tests. Multivariate linear regression was performed to
determine predictors of changes in depressive symptoms
after the exercise intervention. Statistical analyses were
performed using SPSS-PC 23.0 (SPSS, Chicago, IL, USA)
software. All data are reported as mean±standard devia-
tion, and statistical significance was assumed at p< 0.05.
Results
With respect to depressive symptoms and body composi-
tion shown in Table 1, the RM-ANOVA showed a signifi-
cant time by group interaction (F(1,23) = 37.540, p <
0.001) for mean values in GDS-K scores from pre- and
post-tests between the two groups. The participants in the
exercise group has a significant decrease in GDS-K scores
(p < 0.001), while the participants in the control group did
not. In addition, there were significant time by group inter-
actions for mean values in percent body fat (F(1,23) =
6.122, p = 0.021), lean body mass (F(1,23) = 5.662, p =
0.026), and waist circumference (F(1,23) = 4.330, p =
0.049) from pre- and post-tests between the two groups.
The participants in the exercise group had significant de-
creases in percent body fat (p = 0.005) and waist circum-
ference (p = 0.050) in conjunction with a significant in-
crease in lean body mass (p = 0.012) after the exercise in-
tervention, while the participants in the control group did
not.
With respect to physical functional capacity param-
eters shown in Table 2, the RM-ANOVA showed signifi-
cant time by group interactions for mean values in handgrip
strength (F(1,23) = 10.114, p = 0.005), the distance walked
in 6 minutes (F(1,23) = 28.988, p < 0.001), and the 2.44-m
up-and-go time (F(1,23) = 28.714, p < 0.001) from pre- and
post-tests between the two groups. After the intervention,
the participants in the exercise group had significant in-
creases in handgrip strength (p = 0.030) and the distance
covered in 6-min walking (p = 0.001) in conjunction with
a significant decrease in the 2.44-m up-and-go time (p <
0.001), while the participants in the control group did not.
With respect to metabolic risk factors shown in Ta-
ble 3, the RM-ANOVA showed no significant time by
group interactions for any metabolic risk factor from pre-
and post-tests between the two groups.
Finally, multivariate linear regression analysis
showed that changes in percent body fat (p = 0.018) and
agility/dynamic balance (p < 0.001) were two independent
factors for predicting changes in depressive symptoms af-
ter the exercise intervention (Table 4).
Table 1. Depressive symptoms and body composition parameters of pre- and post-intervention.
Variables
Control (n=12) Exercise (n=13)
F P value
Pre-test Post-test Pre-test Post-test
SGDS-K (scores) 8.7±0.7 6.5±1.1 8.6±0.8 8.8±1.3
0.386
0.033
36.395
a
b
c
0.541
0.858
<0.001
BMI (kg/m2) 27.0±2.1 26.7±2.3 26.1±3.2 25.8±3.2
0.742
7.534
0.030
a
b
c
0.398
0.012
0.863
Body fat (%) 42.0±6.0 41.9±6.6 41.1±6.1 39.5±7.0
0.377
10.457
6.122
a
b
c
0.545
0.004
0.021
LBM (kg) 17.3±1.7 16.4±2.2 17.9±2.1 18.3±1.8
2.522
0.477
5.662
a
b
c
0.126
0.497
0.026
WC (cm) 95.3±5.8 95.0±7.1 94.7±8.4 91.7±9.3
0.498
6.606
4.330
a
b
c
0.488
0.017
0.049
SGDS-K: the Korean version of the short form of the geriatric depression scale. BMI: body mass index; LBM: lean body mass;
WC: waist circumference. a: group, b: time, c: group × time
Exercise and mental health
402
Table 2. Physical functional capacity parameters of pre- and post-intervention.
Variables
Control (n=12) Exercise (n=13)
F P value
Pre-test Post-test Pre-test Post-test
Handgrip
strength (kg)
18.8±3.0 18.1±2.3 20.3±2.9 21.1±3.0
3.802
0.125
10.114
a
b
c
0.065
0.727
0.005
6-min-walking
(m)
370.1±51.4 346.4±51.2 397.2±52.2 416.8±56.1
5.512
0.334
28.988
a
b
c
0.028
0.569
<0.001
The 2.44-m up-
and-go (sec)
11.2±1.4 11.1±1.6 11.1±1.8 9.0±1.5
3.957
34.267
28.714
a
b
c
0.059
<0.001
<0.001
Sit and reach
(cm)
1.2±2.1 1.6±2.2 1.7±2.3 1.8±2.3
0.143
3.430
1.036
a
b
c
0.709
0.078
0.320
Handgrip strength: upper body strength, 6-min-walking: cardiorespiratory fitness, the 2.44-m up-and-go: dynamic balance,
Sit and reach: flexibility. a: group, b: time, c: group × time
Table 3. Metabolic risk factors of pre- and post-intervention.
Variables
Control (n=12) Exercise (n=13)
F P value
Pre-test Post-test Pre-test Post-test
SBP (mmHg) 133.6±10.4 132.8±10.2 132.8±7.6 131.9±7.4
0.138
2.945
2.204
a
b
c
0.560
0.092
0.162
DBP (mmHg) 73.4±8.2 72.8±8.0 74.3±6.2 73.9±6.8
0.042
0.121
0.134
a
b
c
0.114
0.423
0.489
FBG (mgdL-1) 105.6±16.9 108.6±18.1 106.1±21.9 103.6±20.1
0.143
0.439
3.695
a
b
c
0.708
0.514
0.067
TG (mgdL-1) 159.7±53.3 162.3±75.3 161.8±68.0 147.8±77.4
0.207
0.143
2.599
a
b
c
0.654
0.709
0.122
HDL-C
(mgdL-1)
51.7±8.0 49.4±11.2 51.1±10.0 52.5±10.3
0.032
0.204
3.595
a
b
c
0.859
0.656
0.071
SBP: systolic blood pressure; BDP: diastolic blood pressure; FBG: fasting blood glucose; TG: triglycerides; HDL-C: high
density lipoprotein-cholesterol; a: group, b: time, c: group × time
Table 4. Linear regression for predicting alleviated depression symptoms following the intervention.
Predictors ß t 95% CI P value
△ Body fat 0.372 2.566 0.066 – 0.617 0.018
△ the 2.44-m up-and-go 0.556 3.833 0.218 – 0.945 0.001
95% CI: 95% confidence interval.△: changed scores of pre-and post-tests.
Discussion
Regular physical activity has been known to contribute to
the overall health of older populations by influencing men-
tal health and well-being as well as by preserving func-
tional physical capacity. In this study, we investigated the
beneficial effects of a six-month combined exercise inter-
vention on depressive symptoms as well as body composi-
tion and functional physical capacity in older Korean
women and found that the long-term exercise intervention
led to a reduction in depressive symptoms in conjunction
with improvements in body fatness and functional physical
capacity parameters in older Korean women.
The current findings of the present study support and
extend those of previous studies reporting the beneficial ef-
fects of physical activity on body composition and physical
fitness. For example, Lee et al. showed that, in older
women 75 years of age and older, 12 weeks of a combined
exercise program resulted in significantly decreased body
mass index (p < 0.001), body fat (p < 0.001), and waist-hip
ratio (p < 0.001) and increased basal metabolic rate (p < 0.05) and ability to rise from and sit down on a chair (Lee et al., 2013). From a cross-sectional study involving 19,230 men and 140,578 women 40–69 years of age who partici- pated in the UK Biobank in 2006–2010, Bradbury et al. (2017) al. found that physical activity was inversely asso- ciated with percent body fat independent of body mass in- dex. Woo et al. (2013) examined the relative importance of fitness versus fatness for predicting mortality in Chinese men and women 70 years of age and older and found that, compared with the high fitness category, participants in the moderate and low categories had 43% and 68%, respect- tively, increased risk of mortality at 7 years after adjusting for multiple confounders including body fatness.
The beneficial effects of physical activity on depres-
sion symptoms have also been reported in children (Larun
et al., 2006) and adults (Giacobbi et al., 2005). Similarly,
the beneficial effects of regular physical activity on overall
mental health and well-being in older populations have
been reported in previous studies (Yadav et al., 2015). In
Jin et al.
403
this aspect, exercise interventions have shown very prom-
ising results for reducing symptoms of major depression in
older adults (Neviani et al., 2017). In an eight-year follow-
up study, Lampinen et al. (2000) showed that physically
active older subjects had fewer depression symptoms com-
pared with their inactive counterparts. Based on the analy-
sis of data from the Fitness, Arthritis, and Seniors Trial
(FAST), Pennix et al. (2002) showed that an 18-month aer-
obic exercise program reduced depression symptoms in
adults 60 years of age or older, and both aerobic and re-
sistance exercise programs equally contributed to reduced
disability and pain and increased walking speed in that
older population. Similarly, Poelke et al. (2016) examined
the effects of a 12-week intervention consisting of physical
plus mental activities on depression symptoms in inactive
older adults with cognitive complaints and found that lei-
sure time activity reduced depression symptoms in the
study population in a dose-response manner.
There are several explanations for the antidepressant
effects associated with exercise intervention. First, physi-
cal activity including regular exercise has been known to
provide an antidepressant effect via its thermogenic effect,
endorphin release, and availability of neurotransmitters
such as serotonin, dopamine, and norepinephrine
(Ransford, 1982). Second, the neurocognitive benefits of
physical activity involve the upregulation of neurotrophin
production, including brain-derived neurotrophic factor,
insulin-like growth factor, and vascular endothelial growth
factors (deVries, 1981). Levels of these biomarkers are al-
tered during and after exercise, which then trigger a cas-
cade of changes in brain functioning that might explain the
alleviation of depression symptoms (Helmich et al., 2010).
Third, self-determination and self-efficacy theories have
been proposed to explain the association between physical
activity and depression symptoms (Bridle et al., 2012). In-
dividuals become more confident in their abilities when en-
gaging in physical activity and feel more in control. Lastly,
physical activity-induced antidepressant effects might be
due to distraction from stressful stimuli (Murri et al., 2018).
This study had several limitations. First, the assess-
ment of depression symptoms was conducted at baseline
and only after the intervention due to several practical dif-
ficulties. Multiple assessments over the six-month inter-
vention period would have provided a better picture for de-
lineating the nature of changes in depression symptoms in
response to exercise intervention (Nyklícek et al., 2004).
Second, measuring biomarkers would be necessary to bet-
ter interpret the beneficial effects of the exercise interven-
tion on depression symptoms in a cause-and-effect manner.
Third, the current findings need to be confirmed using a
study cohort involving both men and women.
Conclusion
In this study, we showed that a long-term exercise inter-
vention combined with resistance exercise and walking re-
duced depression symptoms and body fat, and improved
physical functional capacity, in older women, implying a
therapeutic role of regular exercise for promoting overall
and mental health in geriatric populations. Yet, an addi-
tional study will be necessary to elucidate the biologic link
between the alleviation of depression symptoms and im-
provements of body composition and functional physical
capacity observed in the current study.
Acknowledgements
This study was supported by the National Research Foundation Grant
funded by the Korean Government (NRF-2018R1D1A1B07048210 and
NRF-2018R1D1A1B07048153). The authors declare they have no com-
peting interest. The study complied with the laws of the country of the
authors’ affiliation.
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Key points
Low-volume HIIE and MICE does not decrease the
habitual physical activity level over one week in inac-
tive obese males.
Late-life-depression is under recognized and under-
treated due to its complicated aetiologies.
The pharmacologic options are unfortunately often
accompanied by many side effects, including falls,
cardiovascular events, fractures, epilepsy, hypo-
natremia, and increased risk of all-cause mortality.
The current findings support a therapeutic role of reg-
ular exercise for promoting overall and mental health
in older Korean women with depressive symptoms.
AUTHOR BIOGRAPHY
Youngyun JIN
Employment
Sungkyunkwan Univ. Republic of Korea
Degree
PhD
Research interests
Physical Activity and Frailty
E-mail: player53@skku.edu
Donghyun KIM
Employment
Sungkyunkwan Univ. Republic of Korea
Degree
PhD
Research interests
Physical Activity and Neurodegenerative Diseases
E-mail: mola6861@skku.edu
Haeryun HONG
Employment
Sungkyunkwan Univ. Republic of Korea
Degree
PhD
Research interests
Physical Activity and Health
E-mail: hhr8028@skku.edu
Hyunsik KANG
Employment
Sungkyunkwan Univ. Republic of Korea
Degree
PhD
Research interests
Physical Activity and Brain Health
E-mail: hkang@skku.edu
Hyunsik Kang, PhD
Laboratory of Exercise Physiology and Biochemistry, College of
Sport Science, Sungkyunkwan University, 2066 Seobu-Ro, Jan-
gan-Gu, Suwon 16419 Republic of Korea
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