Skip to main content


Front. Psychiatry, 22 January 2018
Sec. Mood Disorders

Effects of Endurance Exercise Modalities on Arterial Stiffness in Patients Suffering from Unipolar Depression: A Randomized Controlled Trial

  • 1Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
  • 2Klinikum Sonnhalde, Psychiatrie und Psychotherapie, Riehen, Switzerland
  • 3Institute of Exercise Training and Computer Science in Sport, German Sport University Cologne, Köln, Germany

Background: Psychiatric disorders are associated with a higher prevalence of cardiovascular disease and mortality. Regular exercise has been shown to reduce depressive symptoms and improve arterial stiffness as a biomarker of cardiovascular risk. We aimed to investigate the effects of different exercise modalities on depression severity index and arterial stiffness in patients suffering from unipolar depression.

Methods: 34 patients suffering from unipolar depression [female: 25, male: 9, age: 37.8, Beck-Depression-Inventory-II (BDI-II) score: 31.0] were enrolled in this two-armed randomized controlled trial. Central hemodynamics, augmentation index at heart rate 75/min (AIx@75) and aortic pulse wave velocity (PWV) were obtained by an oscillometric monitoring device. Maximal bicycle ergometer exercise testing yielded maximal fitness parameters. Patients were assigned to either high-intensity low volume (HILV) or moderate continuous aerobic training (MCT). Both intervention groups trained three times a week during a 4-week intervention period. BDI-II were filled out by the patients before and after the intervention period.

Results: We found moderate interaction effects on depression severity reduction (ηp2=0.10). HILV showed a 85% beneficial effect in lowering BDI-II scores compared to MCT (HILV: pre: 28.8 (9.5), post: 15.5 (8.5), SMD = 1.48), MCT: (pre: 33.8 (8.5), post: 22.6 (7.5), SMD = 1.40). Reduction of AIx@75 was more pronounced after MCT (SMD = 0.61) compared to HILV (SMD = 0.08), showing 37% possibly beneficial effects of MCT over HILV. PWV remained unchanged in both training groups.

Conclusion: Both training regimes showed large effects on the reduction of depressive symptoms. While HILV was more effective in lowering depression severity, MCT was more effective in additionally lowering peripheral arterial stiffness. Exercise should be considered an important strategy for preventive as well as rehabilitative treatment in depression.


Depression is a widespread public-health problem and one of the leading causes of disease burden worldwide (1) affecting an estimated 350 million people (2). Depression affects health status more than somatic diseases such as coronary artery disease (CAD), diabetes, or musculoskeletal disease such as arthritis (1). The overall mortality rate of the disease lies around 4% (3). Depression is characterized by a distinct change of mood such as sadness or irritability and is accompanied by several psychophysiological alterations including disturbance in sleep, appetite or sexual desire, constipation, loss of ability to experience pleasure, crying, slowing of speech and action as well as suicidal thoughts (4). Guidelines from the National Institute of Health and Care Excellence (NICE) recommend cognitive behavioral therapy as treatment of choice for mild to moderate depression, followed by antidepressant medication (3). NICE and WHO guidelines both recommend regular exercise, in the standard treatment of depression (2, 3, 5).

Growing evidence from cross-sectional and longitudinal studies show that physically active people are at lower risk of developing depression (6). A recent meta-analysis compared the efficacy of exercise for patients suffering from unipolar depression to the most common alternative treatment strategies, such as psychological treatment, antidepressant medication, and usual care. The meta-analysis revealed that exercise has a moderate to large effect compared to control conditions and it yielded a moderate effect as an adjunct to antidepressant medication (5).

Depression can be diagnosed in patients with CAD (7). A number of prospective studies have found an association between depression and increased mortality in a variety of CAD populations (8). Depression is linked to traditional cardiovascular risk factors such as hypertension, diabetes, and insulin resistance (9) as well as alterations in immune response and inflammation (10). A population-based cross-sectional study found that patients with increased arterial stiffness were more likely to demonstrate depressive symptoms (11). Arterial stiffness is an established, independent predictor of cardiovascular events and stroke in healthy patients (12). The augmentation index (AIx) serves as peripheral hemodynamic parameter closely related to several risk factors of atherosclerosis and future cardiovascular events (13). Higher levels of physical activity and fitness have been linked to lower central arterial stiffness measured by AIx (14) as well as to a reduction in all-cause mortality and cardiovascular disease (CVD) mortality (15). Thus, aerobic endurance exercise, even at higher intensities, can be recommended as treatment strategy in CAD patients (15). Considering strategies to maximize benefits that not only reduce depressive symptoms but also improve biomarkers of increased cardiovascular risk are of high clinical relevance. Exercise therapy is gaining much interest as a treatment option for depression and is a recommended approach in CVD.

To date, most exercise intervention studies investigating the effects of exercise on depression have examined single exercise intensities and continuous application forms (1618). Recent studies have demonstrated that interval exercise at high intensity (80–90% of VO2max) is superior to continuous exercise at a moderate intensity (50–60% VO2max) for increasing VO2max in stable patients with CAD (15) as well as in healthy subjects (19). The relationship between continuous steady-state exercise and high-intensity intervals and their effect on unipolar depression have yet to be systematically evaluated. In this study, moderate continuous aerobic training (MCT) was regarded as control vs. low volume, high-intensity aerobic training applied in intervals [high-intensity low volume (HILV)].

Materials and Methods

General Study Design and Participants

The present study was designed as a two-armed randomized clinical trial. The participants were stationary patients at the Clinic Sonnenhalde in Riehen, Switzerland, where they received all study-related information and signed a written consent form before participating. After pre-testing procedures to determine the clinical baseline for disease severity, a total of 34 patients were included in the study. Due to the fact that patients suffered from unipolar depression and were hospitalized for this reason, a relatively large number of inpatients was not willing to undergo arterial stiffness measurements or exercise testing. Some patients preferred not to participate in all measurements, for example, if they were not feeling well on the day the measurements were scheduled. This explains why, out of 170 patients, 99 were not willing to participate in the study and were not enrolled (Figure 1). The patients were randomly assigned [minimization method (20), strata: age, gender, BMI, depression severity] either to the HILV group or the moderate, continuous aerobic training group (MCT) (see Table 1). Both groups exercised over a period of 4 weeks, three times a week. Post-testing occurred after the completion of a total of 12 training sessions. Pharmacological medication was issued to the patients according to the physicians’ recommendations. Inpatients had scheduled visits with psychologists and in groups. The intake of pharmaceutical medication was comparable in both groups (Table 2). Before and after the 4 weeks of supervised training, arterial stiffness assessment, cardiopulmonary exercise testing, and depression index assessments were conducted. Post intervention assessment was performed in an identical manner as the pre-measurement procedures.


Figure 1. Flow Chart of the Randomized Controlled Trial.


Table 1. Baseline data of the participants for both intervention groups (HILV and MCT).


Table 2. Medication use in high-intensity low volume (HILV) and MCT.

The study has been approved by the local ethics committee (Ethical approval number: 2014-374). We assumed medium to large aerobic exercise-induced effect sizes for the main primary outcome depression severity. Thus, a sample size of 35 patients has been estimated. Thereby, a significant effect (p < 0.05) can be detected with a statistical power of 90%. Considering an expected dropout rate of approximately 20%, at least 42 patients had to be recruited (5). All subjects signed an informed written consent after receiving all relevant study-related information.

Inclusion and Exclusion Criteria

Inclusion criteria for the patients was a clinical diagnosis of a single episode of one of the following mood affective disorders according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) (21) criteria:

F32.1: major depressive disorder, single episode, moderate

F32.2: major depressive disorder, single episode, severe without psychotic features

F33.1: major depressive disorder, recurrent, moderate

F33.2: major depressive disorder, recurrent severe without psychotic features

Exclusion criteria were any further psychiatric diagnoses such as (a) recurring depression, (b) eating disorders such as anorexia, bulimia, or binge-eating, (c) addictions (alcohol) or current detoxification treatment, (d) schizophrenia, (e) bipolar disorder, and (f) panic disorders with or without agoraphobia or somatic disorders including (a) CVDs, (b) stroke or thrombosis, (c) epilepsia or other neurological disorders, (d) pulmonary diseases, (e) diabetes, or (f) obesity (BMI ≥ 30).

Testing Procedures

Assessment of Depression Severity

For the determination of the individual’s depression severity, the Beck-Depression-Inventory-II (BDI-II) was applied. This questionnaire yields reliable, internally consistent and valid scores to detect depression (22) and describes the somatic and cognitive-emotional symptoms of the disease (23). The inventory can be subdivided into two parts: the negative view of self and the somatic/physical function. The first subdivision comprises six items related to sense of failure, guilt, punishment, self-dislike, self-accusation, and body image changes while the latter reflects the cognitive-emotional and somatic aspects of depression such as social withdrawal, work difficulty, insomnia, fatigability, loss of appetite, somatic preoccupation, and loss of libido (23). It is scored by summoning the highest ratings for each of the 21 symptoms. Each symptom is rated on a 4-point scale ranging from 0 to 3, total scores can range from 0 to 63 (24). Depending on the sum of the questions, the severity of the disorder can be assessed. According to Knaster et al., the following scores represent the severity index of depression (23): 0–9: no depression; 10–18: mild depression; 19–29: moderate depression; and 30–63: severe depression.

Arterial Stiffness

Markers of central hemodynamics (central systolic and diastolic blood pressure, pulse pressure), pulse wave reflection (AIX@75), and pulse wave velocity (PWV), a more direct marker of arterial stiffness, were obtained using an oscillometric Mobil-O-Graph® PWA Monitor device (I.E.M GmbH, Germany) with integrated ARCSolver® software. The measurements of arterial stiffness and central hemodynamics using the oscillometric method stand in good agreement with the conventional tonometric method (25) and have been invasively validated (26). The blood pressure cuff was placed on the left upper arm while the patient was lying in a resting position. The first of three measurements was performed after 5 min at resting period. From the measurements, central blood pressures, crude Aix, and AIx@75 as well as PWV were extracted. The two following measurements were performed at 2-min intervals. After data readout, every measurement was reviewed for erroneous values. The mean of all three measurements was taken, unless PWV differed >0.5 m/s. In this case, the two values closest to each other were selected.

Maximal Exercise Testing

Exercise tests were conducted on a bicycle ergometer (ErgoSelect 300, Ergoline) to determine maximal heart rate (HRmax) and maximal oxygen uptake (VO2max). The patients underwent a ramp-protocol with a regular increase of intensity of 10 W/min, starting at 25 W. During exercise testing, breath-by-breath spirometric gas-exchange data (Metamax 3b, Cortex, Leipzig, Germany), heart rate (HR) (Polar Electro Oy, Kempele, Finland), and ratings of perceived exertion were collected (27).

Exercise Intervention

Both HILV and MCT groups trained three times a week for a period of 4 weeks. In total, 12 training sessions were completed, whereby a minimum of 11 sessions were required for inclusion in the analysis. HILV absolved a Wingate-based interval protocol of 25 repetitions of 30-s high-intensity intervals at 80%VO2max followed by 30 s of complete rest (remaining seated on the bicycle) (28). Including the warm-up and cool-down period of 5 min each, one session lasted 35 min. MCT cycled for 20 min at a constant pace of 60% of their individual VO2max. Their training session included the same warm-up and cool-down as the HILV group. For allowing the comparison between groups, the two training protocols were designed to be calorically equivalent.


Indices of central hemodynamics, arterial stiffness, and BDI-II score are given as means with SDs. Analyses of covariance (ANCONVA) were computed to adjust between-group effects for potential baseline differences (29). To estimate practical relevance of the ANCOVA between-group effects, effect sizes (partial eta squared, ηp2) were additionally calculated. According to Cohen et al. (30), an ηp20.01 indicates a small, ≥0.06 a medium, and ≥0.14 a large effect. Standardized mean differences [Cohen’s d, trivial: SMD < 0.2, small: 0.2 ≤ SMD < 0.5, moderate: 0.5 ≤ SMD < 0.8, large SMD ≥ 0.8 (31)] were calculated for each group and variable.

The absolute and percentage differences as well as the standardized mean differences (Cohen’s d) in the change scores between HILV and MCT from pre- to post-testing were also calculated together with 90% confidence intervals according to the magnitude-based inference approach (32). These calculations were adjusted for pre-test values. A practically worthwhile change was assumed when the difference score was at least 0.2 of the between-subject SD (33). The probability for an effect being practically worthwhile was calculated according to the magnitude-based inference approach using the following scale: 25–75%, possibly; 75–95%, likely; 95–99.5%, very likely; >99.5%, most likely (32). The default probabilities for declaring an effect practically beneficial were <0.5% (most unlikely) for harm and >25% (possibly) for benefit (33). All calculations were conducted using a published spreadsheet in Microsoft® excel (34).


Depression Severity Index

In the ANCOVA analysis, taking baseline values into account, we found relevant but small interaction effects on depression severity reduction (p = 0.07; ηp2=0.10). Pairwise comparison of BDI-II showed large effects in both groups [HILV: pre: 28.8 (9.5), post: 15.5 (8.5), SMD = 1.48; MCT: pre: 33.8 (8.5), post: 22.6 (7.5), SMD = 1.40] (Table 3). HILV showed a likelihood of meaningful effect of 85% likely beneficial compared to MCT (Table 4). In relation to the BDI-II, the reduction for HILV corresponds to a change from moderate to mild depression, while MCT went from severe to moderate.


Table 3. Pre and post intervention results of both groups for peripheral and central vessel parameters and arterial stiffness parameters.


Table 4. Parallel group trials for HILV and MCT.

Arterial Stiffness

Taking baseline values into account, pairwise comparison of peripheral (p) SBP revealed large interaction effects in HILV [pre: 120.1 (10.5), post: 119.4 (12.6), SMD = −1.5]. MCT showed moderate effects in pairwise comparison for AIx [pre: 34.1 (13.8), post: 23.0 (15.0), SMD = 0.77] and AIx@75 [pre: 23.0 (13.6), post: 14.6 (13.8), SMD = 0.61] (Table 3). The likelihood of meaningful effect was 61% possibly beneficial and 37% possibly beneficial, respectively, compared to HILV (Table 4).

Physical Fitness

ANCOVA found moderate interaction effects on VO2max (p = 0.63; ηp2=0.08). Pairwise comparison showed trivial effects in both groups (SMD = −0.10). HILV showed an unlikely beneficial effect over MCT (20%).


The aim of our study was to compare the effects of a 4-week exercise intervention of continuous and discontinuous aerobic exercise at different intensities on depression severity as well as arterial stiffness and central hemodynamics in unipolar depression. Our results confirm previous findings which describe positive effects of aerobic exercise as adjuvant treatment for patients with clinical depression (35, 36). We are able to show, for the first time, that the impact on depression severity and vascular health depend on exercise intensity and modality. Both exercise interventions lowered depression scores whereby HILV was notably more effective than continuous exercise performed at moderate intensity (MCT). On the other hand, MCT had a greater effect on reducing peripheral arterial stiffness than HILV.

The pathophysiology of depression and CVD show several similarities including metabolic and immunomodulatory dysregulation, autonomic dysfunction, and sympathetic overstimulation (37) as well as increased arterial stiffness (38). Arterial stiffness causes an increase in blood pressure, which leads to an additional burden for the vascular system and may, in turn, induce further stiffening of the arteries (39). The stiffened arteries foster excessive pressure and pulsatile flow in the peripheral vascular system, inducing vascular remodeling and the development of atherosclerosis (12). Hence, arterial stiffness may in part explain the relationship between vascular dysfunction and depression, especially since several biological abnormalities have been found in the pathophysiology of depression including dysregulation of serotonin transmission, increased pro-inflammatory cytokines, and decreased neurogenesis (16). As many studies have proven, regular exercise has the potential to counteract vascular disease by improving endothelial function, containing inflammatory processes, and reducing sympathetic overdrive (4043). Regular exercise reduces pressure wave reflection and improves vascular function by increasing blood flow and shear stress of the vascular wall leading to increased nitric oxide availability and peripheral arterial dilatation. The extent of these exercise-induced adaptations seems intensity-dependent (28). In our study, both exercise programs improved peripheral vascular function by decreasing AIx and, in turn, lowering cardiovascular risk. The effect in MCT was notably superior to HILV. Maximal fitness parameter VO2max showed same effect sizes in both groups with no advantage for either exercise intervention. These findings seem contrary to findings comparing the effects of high-intensity interval training (HIT) protocols to MCT in healthy subjects (19). A previous review concluded that HIT is superior in improving endothelial function and resting blood pressure compared to MCT (28). Improvements in physical fitness have been shown to be dependent of the applied exercise protocol (44), with the most beneficial physiological adaptations induced by low volume interval programs of long duration (45). An additional important determinant of interval efficacy is the work-to-rest ratio, in which the interventions with longer and adequate rest periods between the bouts of high intensity show greatest improvements in cardiovascular and functional fitness as well as health-related quality of life and physical functioning (45). Based on these findings, one may speculate why HILV was not more effective in our study setting. The stimulus from HILV may not have been high or long enough to trigger adaptations of vascular integrity and an increased VO2max. Another kind of aerobic interval training protocol with longer bouts of high intensity and longer resting periods might be more effective in creating the necessary endothelial stimulation to reduce peripheral arterial stiffness. The overall duration of 4 weeks may have been too short for more pronounced effects on vascular health. It may also be debated that in a stressful state of constant sympathetic overdrive such as depression, additional high-intensity interval stimulation of the sympathetic nervous system by HILV does not translate into optimal improvement of vascular function and integrity.

As mentioned, a clear link has been made between cardiovascular risk and depression (46) and etiological studies suggest that the presence of depression doubles the risk of developing new-onset CVD (47). Since AIx is an established, independent cardiovascular risk predictor (13), and both our intervention groups showed lower post-exercise AIx values, we can therefore presume that the risk of experiencing a cardiovascular event was lowered in the participants, whereby MCT was more effective than HILV.

Even though MCT was more effective in improving AIx, both exercise programs showed large effects on lowering depression scores, with HILV being notably superior to MCT. On a molecular level, these findings may be explained by an exercise-induced release of brain-derived neurotrophic factor (BDNF), a neurotrophin which has been negatively correlated to depression-related personality traits in healthy subjects (48). The fundamental involvement of BDNF in psychiatric disorders has been confirmed by a meta-analysis which correlated decreased serum BDNF to major depressive disorders (49). Physical exercise has been shown to be able to increase low serum levels in depressed patients to normal levels (6), whereby the increase of BDNF was associated to the intensity of the applied exercise (50). Higher exercise intensities are able to increase circulating BDNF more than moderate intensities (50). This intensity-dependent mechanism may be one possible explanation as to why HILV was slightly more effective in lowering BDI-II scores than MCT.

Our results indicate that regular aerobic exercise should be included as a non-pharmaceutical treatment option in unipolar depression. Studies have shown that antidepressants are efficient in acute depression (51, 52), adherence levels nonetheless remain low (53) and about 30% of patients do not achieve remission after four different antidepressant treatment trials (54). These outcomes are mainly due to patients’ concerns about side effects and potential addiction (53). Furthermore, surveys consistently demonstrate that patients prefer non-pharmacological therapies to medication (55, 56). This calls for innovative non-pharmaceutical treatment options which do not possess the potential side effects of regular and long-term use of medication. Our results suggest that regular aerobic exercise should be prescribed and performed under professional supervision as preventive as well as rehabilitating treatment options. Additionally, our results confirm that regular exercise has beneficial effects on arterial stiffness, indicating the potential of regular exercise to reduce cardiovascular risk in unipolar depression. Our findings have a high clinical relevance and should be considered during clinical practice and in treatment prescription.

Some limitations of the study need to be addressed. Depression is a complex disease, and treatment strategies must be individualized to achieve optimal results. Since all participants were inpatients at the same clinic, we were able to perform our measurements in a closed setting, thus minimalizing any exterior factors which might have influenced the results. This closed setting did not allow for the assessors nor the mode of exercise to be blinded to the intervention. The motivation to take part in the additional exercise treatment was relatively low. 99 (out of 170) patients did not want to participate in the study. This number is explained by the fact that they were hospitalized for unipolar depression and lack of motivation is part of the disease entity. During their stay at the clinic, all inpatients received similar additional non-exercise therapy provided by the clinic. Changes of medication may have direct effects on the outcome. However, MCT was used as a control group with comparable changes in medication. Intervention duration was limited by the duration of stay at the clinic. Additionally, despite group allocation based on anthropometric parameters and BDI-II scores, notable baseline differences in AIx need to be mentioned. The variability of AIx spot measurements is known to be relatively high despite taking the mean of three measurements. Baseline values were applied as covariates, adjusting results for potential baseline differences. The sample size of the study might be considered low. In our group analysis, we refrained from interpreting our data on the basis of mere conventional p-values to estimate relevant between-group effects, as p-values do not sufficiently allow for continuous estimation of relevant interventional effect sizes (20). These would have failed to reach significance, possibly affected by the small sample size of this study.


Our results in inpatients with unipolar depression demonstrate the beneficial effects of short-term exercise regimes on reduction of depressive symptoms and cardiovascular risk during the hospital stay. Both training regimes showed large effects on the reduction of depressive symptoms. While HILV was more effective in lowering depression severity, MCT was more effective in additionally lowering peripheral arterial stiffness. Future studies have to investigate whether a combination of both our exercise modalities can optimize therapeutic targets for disease severity and CVD reduction. Exercise should be considered an important strategy for preventive as well as rehabilitative treatment in depression.

As a future perspective, patients will have to continue with their additional exercise therapy after discharge and need infrastructure to maintain adherence. More research is warranted to investigate feasibility of regular exercise training in a home-based setting under no or at least less supervision. Most importantly, a high degree of motivation and adherence to exercise therapy needs to be established. The use of e-health platforms, mobile App support, and/or exergaming are promising tools to increase motivation and adherence to regular exercise and physical activity in patients with recurrent depression.

It remains to be elucidated how exercise programs can be routinely implemented into hospital and home-based care and how this can be financed by the health care system. Moreover, prospective studies are warranted to define the effect of different exercise modes on long-term disease progression and cardiovascular outcome.

Ethics Statement

The study has been approved by the local ethics committee (Ethical approval number: 214-374). All subjects signed an informed written consent after receiving all relevant study-related information.

Author Contributions

Study design: HH and LD; data collection: AM; statistical analysis: AM and LD; manuscript preparation: HH, AM, and LD; manuscript revision: OF, AS-T, LZ, and JB.

Conflict of Interest Statement

All authors do not have any conflict of interest concerning the present study including data acquisition, manuscript writing, and data presentation.


We cordially thank the participants for their engagement and compliance. We also appreciate the help and support of the Clinic Sonnenhalde in Riehen for their infrastructural supply and support, particularly Dr. Anja Rogausch who helped during the recruitment procedure.


1. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet (2007) 370(9590):851–8. doi:10.1016/S0140-6736(07)61415-9

PubMed Abstract | CrossRef Full Text | Google Scholar

2. World Health Organization. Fact Sheet 369: Depression. Geneva: WHO (2012).

Google Scholar

3. NICE. Depression: the treatment and management of depression in adults. NICE Clin Guideline (2013) 90:5–53.

Google Scholar

4. Belmaker RH, Agam G. Major depressive disorder. N Engl J Med (2008) 358(1):55–68. doi:10.1056/NEJMra073096

CrossRef Full Text | Google Scholar

5. Kvam S, Kleppe CL, Nordhus IH, Hovland A. Exercise as a treatment for depression: a meta-analysis. J Affect Disord (2016) 202:67–86. doi:10.1016/j.jad.2016.03.063

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Laske C, Banschbach S, Stransky E, Bosch S, Straten G, Machann J, et al. Exercise-induced normalization of decreased BDNF serum concentration in elderly women with remitted major depression. Int J Neuropsychopharmacol (2010) 13(5):595–602. doi:10.1017/S1461145709991234

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Blumenthal JA, Sherwood A, Babyak MA, Watkins LL, Smith PJ, Hoffman BM, et al. Exercise and pharmacological treatment of depressive symptoms in patients with coronary heart disease: results from the UPBEAT (Understanding the Prognostic Benefits of Exercise and Antidepressant Therapy) study. J Am Coll Cardiol (2012) 60(12):1053–63. doi:10.1016/j.jacc.2012.04.040

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Blumenthal JA. New frontiers in cardiovascular behavioral medicine: comparative effectiveness of exercise and medication in treating depression. Cleve Clin J Med (2011) 78(Suppl 1):S35–43. doi:10.3949/ccjm.78.s1.06

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care (2001) 24(6):1069–78. doi:10.2337/diacare.24.6.1069

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Kop WJ, Gottdiener JS, Tangen CM, Fried LP, McBurnie MA, Walston J, et al. Inflammation and coagulation factors in persons > 65 years of age with symptoms of depression but without evidence of myocardial ischemia. Am J Cardiol (2002) 89(4):419–24. doi:10.1016/S0002-9149(01)02264-0

CrossRef Full Text | Google Scholar

11. Kivimaki M, Shipley MJ, Allan CL, Sexton CE, Jokela M, Virtanen M, et al. Vascular risk status as a predictor of later-life depressive symptoms: a cohort study. Biol Psychiatry (2012) 72(4):324–30. doi:10.1016/j.biopsych.2012.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Mitchell GF, Hwang SJ, Vasan RS, Larson MG, Pencina MJ, Hamburg NM, et al. Arterial stiffness and cardiovascular events: the Framingham Heart Study. Circulation (2010) 121(4):505–11. doi:10.1161/circulationaha.109.886655

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Vlachopoulos C, Aznaouridis K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis. J Am Coll Cardiol (2010) 55(13):1318–27. doi:10.1016/j.jacc.2009.10.061

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Edwards DG, Schofield RS, Magyari PM, Nichols WW, Braith RW. Effect of exercise training on central aortic pressure wave reflection in coronary artery disease. Am J Hypertens (2004) 17(6):540–3. doi:10.1016/j.amjhyper.2003.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Rognmo O, Hetland E, Helgerud J, Hoff J, Slørdahl SA. High intensity aerobic interval exercise is superior to moderate intensity exercise for increasing aerobic capacity in patients with coronary artery disease. Eur J Cardiovasc Prev Rehabil (2004) 11(3):216–22. doi:10.1097/01.hjr.0000131677.96762.0c

CrossRef Full Text | Google Scholar

16. Meyer JD, Koltyn KF, Stegner AJ, Kim J-S, Cook DB. Relationships between serum BDNF and the antidepressant effect of acute exercise in depressed women. Psychoneuroendocrinology (2016) 74:286–94. doi:10.1016/j.psyneuen.2016.09.022

CrossRef Full Text | Google Scholar

17. Donath L, Boettger S, Puta C, Wetzig F, Mueller HJ, Bar KJ, et al. Dissociation of performance parameters at the IAT requires specific exercise recommendations for depressed patients. Prog Neuropsychopharmacol Biol Psychiatry (2010) 34(1):131–5. doi:10.1016/j.pnpbp.2009.10.012

CrossRef Full Text | Google Scholar

18. Donath L, Puta C, Boettger S, Mueller HJ, Faude O, Meyer T, et al. Ventilatory inefficiency in major depressive disorder: a potential adjunct for cardiac risk stratification in depressive disorders? Prog Neuropsychopharmacol Biol Psychiatry (2010) 34(6):882–7. doi:10.1016/j.pnpbp.2010.04.007

CrossRef Full Text | Google Scholar

19. Helgerud J, Hoydal K, Wang E, Karlsen T, Berg P, Bjerkaas M, et al. Aerobic high-intensity intervals improve VO2max more than moderate training. Med Sci Sports Exerc (2007) 39(4):665–71. doi:10.1249/mss.0b013e3180304570

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Pocock SJ, Stone GW. The primary outcome fails – what next? N Engl J Med (2016) 375(9):861–70. doi:10.1056/NEJMra1510064

CrossRef Full Text | Google Scholar

21. World Health Organization. International Statistical Classification of Diseases and Related Health Problems, Vol. 1. World Health Organization (2004).

Google Scholar

22. Arnau RC, Meagher MW, Norris MP, Bramson R. Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. Health Psychol (2001) 20(2):112–9. doi:10.1037/0278-6133.20.2.112

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Knaster P, Estlander AM, Karlsson H, Kaprio J, Kalso E. Diagnosing depression in chronic pain patients: DSM-IV major depressive disorder vs. Beck Depression Inventory (BDI). PLoS One (2016) 11(3):e0151982. doi:10.1371/journal.pone.0151982

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kumar G, Rissmiller DJ, Steer RA, Beck AT. Mean Beck Depression Inventory-II total scores by type of bipolar episode. Psychol Rep (2006) 98(3):836–40. doi:10.2466/pr0.98.3.836-840

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Wassertheurer S, Kropf J, Weber T, van der Giet M, Baulmann J, Ammer M, et al. A new oscillometric method for pulse wave analysis: comparison with a common tonometric method. J Hum Hypertens (2010) 24(8):498–504. doi:10.1038/jhh.2010.27

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hametner B, Wassertheurer S, Kropf J, Mayer C, Holzinger A, Eber B, et al. Wave reflection quantification based on pressure waveforms alone – methods, comparison, and clinical covariates. Comput Methods Programs Biomed (2013) 109(3):250–9. doi:10.1016/j.cmpb.2012.10.005

CrossRef Full Text | Google Scholar

27. Borg G. Borg’s Perceived Exertion and Pain Scales. Champaign, IL: Human Kinetics (1998).

Google Scholar

28. Gibala MJ, Little JP, Macdonald MJ, Hawley JA. Physiological adaptations to low-volume, high-intensity interval training in health and disease. J Physiol (2012) 590(5):1077–84. doi:10.1113/jphysiol.2011.224725

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Vickers AJ, Altman DG. Statistics notes: analysing controlled trials with baseline and follow up measurements. BMJ (2001) 323(7321):1123–4. doi:10.1136/bmj.323.7321.1123

CrossRef Full Text | Google Scholar

30. Cohen J, Cohen P, West SG, Aiken LS. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Mahwah, New Jersey: Routledge (2013).

Google Scholar

31. Cohen J. A power primer. Psychol Bull (1992) 112(1):155. doi:10.1037/0033-2909.112.1.155

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform (2006) 1(1):50–7. doi:10.1123/ijspp.1.1.50

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc (2009) 41(1):3–13. doi:10.1249/MSS.0b013e31818cb278

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hopkins WG. A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a P value. Sportscience (2007) 11:16–21.

Google Scholar

35. Mota-Pereira J, Silverio J, Carvalho S, Ribeiro JC, Fonte D, Ramos J. Moderate exercise improves depression parameters in treatment-resistant patients with major depressive disorder. J Psychiatr Res (2011) 45(8):1005–11. doi:10.1016/j.jpsychires.2011.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Carneiro LS, Fonseca AM, Vieira-Coelho MA, Mota MP, Vasconcelos-Raposo J. Effects of structured exercise and pharmacotherapy vs. pharmacotherapy for adults with depressive symptoms: a randomized clinical trial. J Psychiatr Res (2015) 71:48–55. doi:10.1016/j.jpsychires.2015.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

37. László A, Tabák Á, Kőrösi B, Eörsi D, Torzsa P, Cseprekál O, et al. Association of affective temperaments with blood pressure and arterial stiffness in hypertensive patients: a cross-sectional study. BMC Cardiovasc Disord (2016) 16:158. doi:10.1186/s12872-016-0337-9

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Korosi B, Laszlo A, Tabak A, Batta D, Lenart L, Fekete A, et al. The impact of currently recommended antihypertensive therapy on depression and other psychometric parameters: preliminary communication. Neuropsychopharmacol Hung (2017) 19(1):11–22.

PubMed Abstract | Google Scholar

39. Mitchell GF. Arterial stiffness: insights from Framingham and Iceland. Curr Opin Nephrol Hypertens (2015) 24(1):1–7. doi:10.1097/mnh.0000000000000092

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Munir S, Jiang B, Guilcher A, Brett S, Redwood S, Marber M, et al. Exercise reduces arterial pressure augmentation through vasodilation of muscular arteries in humans. Am J Physiol Heart Circ Physiol (2008) 294(4):H1645–50. doi:10.1152/ajpheart.01171.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Tjonna AE, Lee SJ, Rognmo O, Stolen TO, Bye A, Haram PM, et al. Aerobic interval training versus continuous moderate exercise as a treatment for the metabolic syndrome: a pilot study. Circulation (2008) 118(4):346–54. doi:10.1161/circulationaha.108.772822

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Hanssen H, Nickel T, Drexel V, Hertel G, Emslander I, Sisic Z, et al. Exercise-induced alterations of retinal vessel diameters and cardiovascular risk reduction in obesity. Atherosclerosis (2011) 216(2):433–9. doi:10.1016/j.atherosclerosis.2011.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Li Y, Hanssen H, Cordes M, Rossmeissl A, Endes S, Schmidt-Trucksass A. Aerobic, resistance and combined exercise training on arterial stiffness in normotensive and hypertensive adults: a review. Eur J Sport Sci (2015) 15(5):443–57. doi:10.1080/17461391.2014.955129

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Weston M, Taylor KL, Batterham AM, Hopkins WG. Effects of low-volume high-intensity interval training (HIT) on fitness in adults: a meta-analysis of controlled and non-controlled trials. Sports Med (2014) 44(7):1005–17. doi:10.1007/s40279-014-0180-z

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Milanovic Z, Sporis G, Weston M. Effectiveness of high-intensity interval training (HIT) and continuous endurance training for VO2max improvements: a systematic review and meta-analysis of controlled trials. Sports Med (2015) 45(10):1469–81. doi:10.1007/s40279-015-0365-0

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Colquhoun DM, Bunker SJ, Clarke DM, Glozier N, Hare DL, Hickie IB, et al. Screening, referral and treatment for depression in patients with coronary heart disease. Med J Aust (2013) 198(9):483–4. doi:10.5694/mja13.10153

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Nicholson A, Kuper H, Hemingway H. Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies. Eur Heart J (2006) 27(23):2763–74. doi:10.1093/eurheartj/ehl338

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Nomoto H, Baba H, Satomura E, Maeshima H, Takebayashi N, Namekawa Y, et al. Serum brain-derived neurotrophic factor levels and personality traits in patients with major depression. BMC Psychiatry (2015) 15:33. doi:10.1186/s12888-015-0413-1

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Sen S, Duman R, Sanacora G. Serum brain-derived neurotrophic factor, depression, and antidepressant medications: meta-analyses and implications. Biol Psychiatry (2008) 64(6):527–32. doi:10.1016/j.biopsych.2008.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Gustafsson G, Lira CM, Johansson J, Wisen A, Wohlfart B, Ekman R, et al. The acute response of plasma brain-derived neurotrophic factor as a result of exercise in major depressive disorder. Psychiatry Res (2009) 169(3):244–8. doi:10.1016/j.psychres.2008.06.030

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, et al. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet (2009) 373(9665):746–58. doi:10.1016/s0140-6736(09)60046-5

CrossRef Full Text | Google Scholar

52. Cipriani A, Santilli C, Furukawa TA, Signoretti A, Nakagawa A, McGuire H, et al. Escitalopram versus other antidepressive agents for depression. Cochrane Database Syst Rev (2009) 2:CD006532. doi:10.1002/14651858.CD006532.pub2

CrossRef Full Text | Google Scholar

53. Hunot VM, Horne R, Leese MN, Churchill RC. A cohort study of adherence to antidepressants in primary care: the influence of antidepressant concerns and treatment preferences. Prim Care Companion J Clin Psychiatry (2007) 9(2):91–9. doi:10.4088/PCC.v09n0202

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Olchanski N, McInnis Myers M, Halseth M, Cyr PL, Bockstedt L, Goss TF, et al. The economic burden of treatment-resistant depression. Clin Ther (2013) 35(4):512–22. doi:10.1016/j.clinthera.2012.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Churchill R, Hunot V, Corney R, Knapp M, McGuire H, Tylee A, et al. A systematic review of controlled trials of the effectiveness and cost-effectiveness of brief psychological treatments for depression. Health Technol Assess (2001) 5(35):1–173.

Google Scholar

56. Riedel-Heller SG, Matschinger H, Angermeyer MC. Mental disorders – who and what might help? Help-seeking and treatment preferences of the lay public. Soc Psychiatry Psychiatr Epidemiol (2005) 40(2):167–74. doi:10.1007/s00127-005-0863-8

CrossRef Full Text | Google Scholar

Keywords: depression, high-intensity exercise training, cardiovascular risk, arterial stiffness, prevention

Citation: Hanssen H, Minghetti A, Faude O, Schmidt-Trucksäss A, Zahner L, Beck J and Donath L (2018) Effects of Endurance Exercise Modalities on Arterial Stiffness in Patients Suffering from Unipolar Depression: A Randomized Controlled Trial. Front. Psychiatry 8:311. doi: 10.3389/fpsyt.2017.00311

Received: 18 October 2017; Accepted: 26 December 2017;
Published: 22 January 2018

Edited by:

Brisa S. Fernandes, Deakin University, Australia

Reviewed by:

Serafim Carvalho, Cooperativa de Ensino Superior Politécnico e Universitário, Portugal
Leonardo Roever, Federal University of Uberlandia, Brazil

Copyright: © 2018 Hanssen, Minghetti, Faude, Schmidt-Trucksäss, Zahner, Beck and Donath. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Henner Hanssen,

These authors have contributed equally to this work.

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.