Sports Science and Medicine

©Journal of Sports Science and Medicine (2019) 18, 399-404

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.


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.


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


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 (kgm2) 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.


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.


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


a b c

0.541 0.858


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


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


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


a b c

0.028 0.569


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 (mgdL-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 (mgdL-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 (mgdL-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.


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. References Allan, C.L. and Ebmeier, K.P. (2018) Review of treatment for late-life

depression. Advances in Psychiatric Treatment 19, 302-309. Bae, J.N. and Cho, M.J. (2004) Development of the Korean version of the

Geriatric Depression Scale and its short form among elderly psy- chiatric patients. Journal of Psychosomatic Research 57, 297- 305.

Biddle, S.J.H., Mutrie, N. and Gorely, T. (2015) Psychology of physical activity: determinants, well-being and interventions. 3rd ed. New York, NY, USA: Routledge. 210-220.

Bradbury, K.E., Guo, W., Cairns, B.J., Armstrong, M.E. and Key, T.J. (2017) Association between physical activity and body fat per- centage, with adjustment for BMI: a large cross-sectional analy- sis of UK Biobank. BMJ Open 7, e011843.

Bridle, C., Spanjers, K., Patel, S., Atherton, N.M. and Lamb, S.E. (2012) Effect of exercise on depression severity in older people: system- atic review and meta-analysis of randomised controlled trials. The British Journal of Psychiatry 201, 180-185.

deVries, H.A. (1981) Tranquilizer effect of exercise: A critical review. The Physician and Sportsmedicine 9, 46-55.

Luppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H.H. and Riedel-Heller, S.G. (2012) Age- and gender-specific prevalence of depression in latest life-sys- tematic review and meta-analysis. Journal of Affective Disorders 136, 212-221.

Georgakis, M.K., Papadopoulos, F.C. and Protogerou, A.D. (2016) Comorbidity of cognitive impairment and late-life depression in- crease mortality: Results from a cohort of community-dwelling elderly individuals in rural Greece. Journal of Geriatric Psychistry and Neurology 29, 195-204.

Giacobbi, R.P., Hausenblas, A.H. and Frye, N. (2005) A naturalistic as- sessment of the relationship between personality, daily life events, leisure time exercise, and mood. Psychology of Sport and Exercise 6, 67-81.

Helgadóttir, B., Forsell, Y., Hallgren, M., Möller, J. and Ekblom, Ö. (2017) Long-term effects of exercise at different intensity on de- pression: a randomized controlled trial. Preventive Medicine 105, 37-46.

Helmich, I., Latini, A., Sigwalt, A., Carta, M.G., Machado, S., Velasques, B., Ribeiro, P. and Budde, H. (2010) Neurobiological alterations induced by exercise and their impact on depressive disorders. Clinical Practice and Epidemiology in Mental Health 6, 115- 125.

Jette, A.M., Harris, B.E., Sleeper, L., Lachman, M.E., Heislein, D., Gior- getti, M. and Levenson, C. (1996) A home-based exercise pro- gram for nondisabled older adults. The Journal of American Ger- iatrics Society 44, 644-649.

Kelly, J.S. and Metcalfe, J. (2012). Validity and reliability of body com- position analysis using the Tanita BC418-MA. Journal of Exer- cise Physiology Online 15, 74-83.

Lampinen, P., Heikkinen, R.L. and Ruoppila, I. (2000) Changes in inten- sity of physical exercise as predictors of depressive symptoms among older adults: an eight-year follow-up. Preventive Medi- cine 30, 371-380.

Larun, L., Nordheim, L.V., Ekeland, E., Hagen, K.B. and Heian, F. (2006) Exercise in prevention and treatment of anxiety and depression among children and young people. The Cochrane Database of Systemic Reviews 3, CD004691.

Exercise and mental health


Lee, B.A., Kim, J.G. and Oh, D.J. (2013) The effects of combined exer- cise intervention on body composition and physical fitness in el- derly females at a nursing home. Journal of Exercise Rehabilita- tion 9, 298-303.

Mura, G. and Carta, M.G. (2013) Physical activity in depressed elderly. A systematic review. Clinical Practice and Epidemiology in Mental Health 9, 125-135.

Murri, M.B., Ekkekakis, P., Menchetti, M., Neviani, F., Trevisani, F., Tedeschi, S., Latessa, P.M., Nerozzi, E., Ermini, G., Zocchi, D., Squatrito, S., Toni, G., Cabassi, A., Neri, M., Zanetidou, S. and Amore, M. (2018) Physical exercise for late-life depression: ef- fects on symptom dimensions and time course. Journal of Affec- tive Disorders 230, 65-70.

Neviani, F., Belvederi Murri, M., Mussi, C., Triolo, F., Toni, G., Si- moncini, E., Tripi, F., Menchetti, M., Ferrari, S., Ceresini, G., Cremonini, A., Bertolotti, M., Neri, G., Squatrito, S., Amore, M., Zanetidou, S. and Neri, M. (2017) Physical exercise for late life depression: effects on cognition and disability. International Psychogeriatrics 29, 1105-1112.

Nyklícek, I., Scherders, M.J. and Pop, V.J. (2004) Multiple assessments of depressive symptoms as an index of depression in population- based samples. Psychiatry Research 128, 111-116.

Penninx, B.W., Rejeski, W.J., Pandya, J., Miller, M.E., Di Bari, M., Ap- plegate, W.B. and Pahor, M. (2002) Exercise and depressive symptoms: a comparison of aerobic and resistance exercise ef- fects on emotional and physical function in older persons with high and low depressive symptomatology. The Journal of Ger- ontology. Series B, Psychological Sciences and Social Sciences 57, 124-132.

Poelke, G., Ventura, M.I., Byers, A.L., Yaffe, K., Sudore, R. and Barnes, D.E. (2016) Leisure activities and depressive symptoms in older adults with cognitive complaints. International Psychogeriatrics 8, 63-69.

Ransford, C.A. (1982) A role for amines in the antidepressant effect of exercise: a review. Medicine and Science in Sports and Exercise 14, l-10.

Rikli, R.E. and Jones, C.J. (2013) Development and validation of crite- rion-referenced clinically relevant fitness standards for maintain- ing physical independence in later years. Gerontologist 53, 255- 267.

Stubbs, B. (2015) A meta-analysis investigating falls in older adults tak- ing selective serotonin reuptake inhibitors confirms an associa- tion but by no means implies causation. The American Journal of Geriatric Psychiatry 23, 1098.

Underwood, M., Lamb, S.E., Eldridge, S., Sheehan, B., Slowther, A.M., Spencer, A., Thorogood, M., Atherton, N., Bremner, S.A., Devine, A., Diaz-Ordaz, K., Ellard, D.R., Potter, R., Spanjers, K. and Taylor, S.J. (2013) Exercise for depression in elderly resi- dents of care homes: a cluster-randomised controlled trial. Lan- cet 382, 41-49.

Whiteford, H.A., Degenhardt, L., Rehm, J., Baxter, A.J., Ferrari, A.J., Er- skine, H.E., Charlson, F.J., Norman, R.E., Flaxman, A.D., Johns, N., Burstein, R., Murray, C.J. and Vos, T. (2013) Global burden of disease attributable to mental and substance use disorders: findings from the global burden of disease study 2010. Lancet 382, 1575-1586.

Williams, P. and Lord, S.R. (1997) Effects of group exercise on cognitive functioning and mood in older women. Australian and New Zea- land Journal of Public Health 21, 45-52.

Woo, J., Yu, R. and Yau, F. (2013) Fitness, fatness and survival in elderly populations. Age (Dordrecht, Netherlands) 35, 973-984.

Yadav, R.K., Sarvottam, K., Magan, D. and Yadav, R. (2015) A two-year follow-up case of chronic fatigue syndrome” substantial im- provement in personality following a yoga-based lifestyle inter- vention. Journal of Alternative and Complementary Medicine 21, 246-249.

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.


Youngyun JIN Employment Sungkyunkwan Univ. Republic of Korea Degree PhD Research interests Physical Activity and Frailty E-mail: Donghyun KIM Employment Sungkyunkwan Univ. Republic of Korea Degree PhD Research interests Physical Activity and Neurodegenerative Diseases E-mail: Haeryun HONG Employment Sungkyunkwan Univ. Republic of Korea Degree PhD Research interests Physical Activity and Health E-mail: Hyunsik KANG Employment Sungkyunkwan Univ. Republic of Korea Degree PhD Research interests Physical Activity and Brain Health E-mail:

 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

Copyright of Journal of Sports Science & Medicine is the property of Hakan Gur, Journal of Sports Science & Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder’s express written permission. However, users may print, download, or email articles for individual use.