Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 12 September 2019
Sec. Mood Disorders

Interval Training Improves Depressive Symptoms But Not Anxious Symptoms in Healthy Women

  • 1Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Brazil
  • 2Institute of Biological Sciences, Federal University of Goiás, Goiânia, Brazil
  • 3College of Physical Education, State Bahia University, Teixeira de Freitas, Brazil

Background: Despite important advances in the relationship between exercise and mood disorders, especially regarding moderate-intensity continuous training, there is a lack of information about the chronic effects of interval training protocols. We compared the effects of two different interval training protocols [sprint interval training (SIT) and high-intensity interval training (HIIT)] on depressive and anxious symptoms in healthy women.

Methods: Thirty-six women were randomly allocated to HIIT (n = 18) or SIT (n = 18) groups and performed 24 training sessions over 8 weeks (thrice a week). Levels of state–trait anxiety and depressive symptoms were evaluated using State–Trait Anxiety Inventory and Beck Depression Inventory, respectively, before and after training intervention.

Results: Two-way analysis of variance (ANOVA) did not reveal a significant effect of time (p > 0.05), group intervention (p > 0.05), or time × group interaction (p > 0.05) on state–trait anxiety; however, two-way ANOVA showed a significant effect of time on depressive symptoms (p = 0.025) but not group effect (p = 0.548) or time × group interaction (p = 0.373). Depressive symptoms of the participants in both HIIT and SIT groups were reduced from baseline, (ΔHIIT) −17.5 ± 27.9% and (ΔSIT) −28.6 ± 47.5%, respectively.

Conclusion: HIIT and SIT groups similarly improved depressive symptoms but not anxiety levels in healthy and physically active young adult women.

Introduction

Physical exercise is recognized as a non-pharmacological tool for prevention and treatment of noncommunicable diseases such as diabetes mellitus, hypertension, and mood disorders (1, 2). With regard to the latter, a large amount of literature shows that physical exercise improves mood disorders, mainly depression (1) and anxiety (2). Briefly, these studies showed that physical exercise is effective in improving levels of depression (1) and anxiety (2) symptoms in clinical and nonclinical populations. Furthermore, physical exercise as a non-pharmacological treatment has been shown to be superior to control interventions and sometimes comparable to medication for mild and moderate depression (2, 3).

Overall, the main advantage of exercise as a therapeutic tool for mood disorders is that physical exercise is a low-cost intervention that does not present side effects like pharmacological treatment and that can be offered to everyone, since it does not present contraindications (4). This is particularly important given the high cost associated with cognitive behavior treatment and poor access of patients to trained cognitive behavior health professionals (4). Despite the indisputable positive effect of exercise on health status and mood disorders, the number of people that are sedentary is high (5), and the main reason used to explain sedentary behavior by persons is the lack of time and/or pleasure (6).

For this reason, sport and exercise researchers are devoted to investigating alternatives to increase the effectiveness and efficiency of physical exercise (4). In this context, interval training appears as an alternative way (low volume of exercise) to induce similar or greater performance and cardiovascular adaptations than traditional moderate-intensity continuous exercise, which makes it more time-efficient (7); thus interval training can be a useful tool to increase adherence of a population to a regular physical exercise program (6). Briefly, studies showed that interval training can cause physiological adaptations, such as increase in maximal oxygen uptake (V˙O2max) (8) and changes in markers of adiposity (9) and body composition (10).

Interval training is defined, according to Gibala et al. (11), as “alternating periods of relatively intense exercise with periods of lower-intensity effort or complete rest for recovery.” The two most-used forms of interval training are the sprint interval training (SIT) and high-intensity interval training (HIIT) (11). SIT refers to protocols that are performed at “supramaximal” or “all-out” efforts at intensities corresponding to loads/intensities greater than those associated to a maximum oxygen uptake (iV˙O2max) obtained in an incremental test (12). On the other hand, HIIT is typically described as a training stimulus with target intensity between 80% and 100% of maximal heart rate (HRmax) (12).

Despite important advances in the relationship between exercise and mood disorders, especially regarding moderate-intensity continuous training (13), there is, so far as we are aware, a lack of information about the long-term effects of different interval training protocols. The few studies that investigated the acute and long-term effects of interval exercise on psychological outcomes focused on the perceived exertion, affect, and arousal (14, 15). Previous studies reported that depending how HIIT protocols are designed, HIIT might result in high levels of enjoyment (1620), high adherence (17), and low perceived exertion (16) when compared to traditional exercise protocols (continuous training protocols). For instance, Jung et al. (18) showed that interval training elicited greater enjoyment than continuous training protocols and that half of the participants reported a preference to engage in interval training. One year later, Jung et al. (17) showed that prediabetic individuals had a greater adherence to HIIT [4–10 × 1 min at ∼90% of peak heart rate (HRpeak) interspersed by 1 min at low intensity] than to moderate-intensity continuous training (20–50 min at ∼65% HRpeak) after 10 sessions of exercise performed over a 12-day period.

As there is a high prevalence of depression and anxiety and it is increasing, especially in women (21), novel treatments that simultaneously improve depressive and anxious symptoms and physical health status are needed (22). Furthermore, about 33.7% of the population was or will be affected by one sort of anxiety disorder during their lifetime (21), and this prevalence is more evident in teenagers, young adults (23), and women, who are 60% more likely than men to experience anxiety over their lifetime (24). Therefore, our study aimed to compare the effects of 8 weeks of two different interval training protocols (HIIT and SIT) on depressive and anxious symptoms in healthy women. Since physical exercise can increase neurotrophin levels (25), and HIIT has been shown to improve depression and neural plasticity in the hippocampus in poststroke depression rats (26), we hypothesized that HIIT and SIT would improve the depressive and anxious symptoms in healthy women. In addition, due the fact that both HIIT and SIT are performed at high intensity, we hypothesized that no difference will be found in the depressive and anxious symptoms between HIIT and SIT over intervention.

Methods

Participants

Participants of the present study were also involved in another study, aimed to compare the long-term effects of SIT and HIIT on body composition and cardiorespiratory fitness (9). Initially, 100 women were recruited. Participants were recruited through social media and word of mouth. To be included in the present study, the participants needed to: i) be women; ii) have a body mass index greater than 18.5 and less than 30.0 kg/m2; iii) be physically active (equal or greater than 150 min/week); iv) be pre-menopause; v) not use any thermogenic and/or stimulants; and vi) have no HIIT and SIT experience during the last 6 months. Exclusion criteria were: i) contraindications for performing physical activity evaluated by the Physical Activity Readiness Questionnaire (PAR-Q) (27) and ii) any intervention for body mass loss. After the application of the inclusion and the exclusion criteria, 35 participants were excluded. Of the 65 remaining participants, 34 and 31 were allocated randomly to the HIIT and SIT groups, respectively. Sixteen participants withdrew from the study, and 13 did not return the questionnaires or did not correctly answer the questionnaires after interventions. Therefore, 36 healthy and physically active women were included in the analysis (HIIT, n = 18, 30.9 ± 6.9 years, 1.65 ± 0.05 m, 63.5 ± 7.9 kg, and 23.4 ± 2.5 km/m2; and SIT, n = 18, 29.2 ± 6.3 years, 1.65 ± 0.05 m, 67.5 ± 8.7 kg, and 24.9 ± 3.6 kg/m2). All reasons for participants’ exclusion and dropout from interventions are presented in the Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1 Diagram flow of participants. HIIT, high-intensity interval training; SIT, sprint interval training.

All participants provided signed informed consent, in compliance with the Declaration of Helsinki (28). All experimental procedures were approved by the University Research Ethics Committee (nº 1.542.353).

Study Design

This was a longitudinal study organized in four consecutive phases. Firstly, the participants were submitted to an anamnesis (PAR-Q) 2 weeks before the beginning of the training period. Secondly, in the week before the training period, all the participants were submitted to a graded exercise test to determine peak oxygen uptake (V˙O2peak) and HRpeak, and self-answered the State–Trait Anxiety Inventory (STAI) and Beck Depression Inventory (BDI) to assess anxious and depressive symptoms, respectively. Thirdly, the participants performed 24 sessions spread over 8 weeks (three times per week: Mondays, Wednesdays, and Fridays), with recovery intervals of 48–72 h. The participants performed a variation of the HIIT protocol proposed by Wisløff et al. (29) or the SIT protocol proposed by Gibala et al. (30) on a mechanical braked cycle ergometer (Evolution SR, Schwinn, USA) and were asked to not perform any other type of exercise apart from the physical exercise proposed by the study. When three or fewer non-consecutive training sessions were missed by a participant, the training sessions were replaced at the end of the period. However, in case four or more sessions were missed, the participant would be excluded from the study. It is noteworthy that no participant missed four or more sessions. Finally, in the week after the last training session, the participants performed all post-intervention evaluations.

Cardiorespiratory Graded Exertion Test

In order to ensure that interval training protocols were effective in promoting the expected training adaptations, we submitted the participants to a graded exercise test on an electromagnetic braked cycle ergometer (CG04, Inbramed, Brazil) to determine their V˙O2peak and HRpeak. Briefly, following a 2 min warm-up (50 W at 80 rpm), the resistance was increased by 25 W every 1 min until volitional exhaustion or the point at which the participant was not able to maintain a pedal cadence of at least 50 rpm. After exhaustion, the participants performed a recovery for 2 min at 50 W and a pedal cadence of 50 rpm. A metabolic system (VO2000, MedGraphics, USA) was used to V˙O2peak measure, and heart rate (HR) was constantly monitored by an HR monitor (Polar RS800, Kempele, Finland). The Borg Scale (6 to 20) (31) was used to evaluate the rating of perceived exertion at each stage of the test.

Interval Training Protocols

As described by Naves et al. (9), SIT training sessions consisted of a warm-up of 5 min (load and cadence self-selected), following by four repeated 30 s all-out cycling efforts, alternated with 4 min of passive recovery or light cycling with no load (30). The workload was adjusted to each participant to maintain frequency ≥60 rpm. HIIT training sessions consisted of a warm-up of 5 min at 50% of HRpeak, followed by four repeated 4 min efforts at 90% to 95% of HRpeak, alternated with 3 min of recovery at 50% to 60% of HRpeak (29). The workload was kept constant during the efforts, being adjusted (more or less) only when the HR moved outside the established zone. The cadence was kept free during the recovery and the load decreased to the minimum. Each participant was directly supervised by one investigator (experienced with interval training prescription) during all training sessions, and standardized verbal stimuli were provided. SIT and HIIT sessions lasted 23 and 33 min, respectively.

Anxious and Depressive Symptoms

STAI (32) validated for the Brazilian population (33) was used to evaluate anxious symptoms. Scores lower than 30, of 31 to 49, and of 50 to 80 indicate the presence of low, intermediate, and high level of anxiety, respectively (34). The STAI was used since it is the most-cited anxiety instrument in the context of physical exercise and sport science (35), translated to 30 languages (34) (including Portuguese language), and due to its easy application.

BDI (36) validated for the Brazilian population (37) was used to evaluate depressive symptoms. Scores from 0 to 9, 10 to 16, 17 to 29, and 30 to 63 indicate minimal, mild, moderate, and severe depressive symptoms (38). The BDI was used since it is one of the most commonly used screening instruments for depression worldwide, translated to 18 languages (including Portuguese language), and due to its easy application (39).

Statistical Analysis

Data are presented as mean, standard deviation, and absolute and relative frequencies. Data normality was tested by Shapiro–Wilk test. A two-way analysis of variance (ANOVA) [group intervention (HIIT × SIT) × time (pre × post)] was used for comparing group means on variables. As, V˙O2peak state–trait anxiety, and depressive symptoms changes were non-normally distributed, we used Spearman’s rank correlation (coefficient reported as r). Statistical Package for the Social Sciences (version 21.0, IBM Corp., Armonk, NY, USA) was used to perform all statistical analysis. We set our significance level α at 0.05. A blinded technician performed all analyses.

Results

Training Adherence

Only two participants (one from the SIT group and other from the HIIT group) missed one training session and needed to replace this session at the end of the training period.

State–Trait Anxiety

Two-way ANOVA did not reveal a significant effect of time [F (1, 34) = 0.043; p = 0.837], group [F (1, 34) = 0.103; p = 0.749], or time × group interaction [F (1, 34) = 0.279; p = 0.599] on state anxiety. Two-way ANOVA also did not reveal a significant effect of time [F (1, 34) = 0.690; p = 0.409], group [F (1, 34) = 1.269; p = 0.264], or time × group interaction [F (1, 34) = 0.124; p = 0.725] on trait anxiety (Table 1). At baseline, 77.8% (HIIT, n = 13; SIT, n = 15) and 75% (HIIT, n = 14; SIT, n = 13) of participants presented a moderate level of state and trait anxiety, respectively. After the intervention, these proportions changed to 72.2% (HIIT, n = 14; SIT, n = 13) and 63.9% (HIIT, n = 13; SIT, n = 10), respectively.

TABLE 1
www.frontiersin.org

Table 1 Cardiorespiratory fitness, anxiety levels, and depressive symptoms of the participants before and after HIIT and SIT intervention.

Depression

Two-way ANOVA revealed a significant effect of time on depressive symptoms [F (1, 34) = 5.238; p = 0.025] but not group effect [F (1, 34) = 0.365; p = 0.548] or time × group interaction [F (1, 34) = 0.805; p = 0.373] (Table 1). Depressive symptoms of the participants in both HIIT and SIT groups were reduced from baseline, (ΔHIIT) −17.5 ± 27.9% and (ΔSIT) −28.6 ± 47.5%, respectively. At baseline, 30.5% of participants (HIIT, n = 5; SIT, n = 6) presented a normal level of depression; however, more than half of participants (61.1%, n = 22) presented a normal level of depression after HIIT and SIT interventions.

Cardiorespiratory Fitness

Two-way ANOVA showed a significant effect of time [F (1, 34) = 7.554; p = 0.008] and group [F (1, 34) = 12.846; p = 0.001] on V˙O2max but not time × group interaction [F (1, 34) = 0.274; p = 0.603]. V˙O2max of the participants in both HIIT and SIT groups increased from baseline [(ΔHIIT) 16.3 ± 25.7% and (ΔSIT) 12.0 ± 17.6%, respectively] (Table 1). No significant correlation was found between changes in V˙O2peak and changes in depressive symptoms (r = −0.17, p = 0.335), changes in trait anxiety levels (r = −0.22, p = 0.200), or changes in state anxiety levels (r = −0.02, p = 0.927).

Discussion

Our study aimed to compare the effects of 8 weeks of two different interval training protocols (HIIT and SIT) on depressive and anxious symptoms in healthy women. Our findings partially confirm the initial hypothesis, since both groups similarly improved depressive symptoms but not anxious symptoms of the participants. We also found that cardiorespiratory fitness similarly improved with both protocols.

We found that V˙O2peak of the participants in both HIIT and SIT groups increased without a significant difference between then. Previously, some studies showed that interval training increases V˙O2max. Trilk et al. (40) found an increase in V˙O2max of 12% in sedentary and overweight/obese women submitted to an SIT protocol [4 to 7 sprints of 30 s (cycling against a load corresponding to 5% of body mass) interspaced by 4 min of active recovery (low cadence at 0% body mass)] three times per week for 4 weeks. Duffield et al. (41) found an increase in V˙O2max of ∼21% in physically active females after 8 weeks (three times per week) of HIIT protocol (four increased progressively to 12 intervals of 2 min cycling at 130–180% of power at lactate threshold interspaced by 1 min of passive recovery). Therefore, our data are in accordance with the literature.

Regarding depressive and anxious symptoms, seminal data show that exercise, over the short or long term, is an effective tool to improve depression and anxiety (42). In the current study, we found that both interval protocols adopted were effective in improving depressive symptoms but not anxious symptoms. The impact of exercise in anxiety disorders is usually smaller than that observed for depressive symptoms (42), which can partially explain our findings (significant improvements in depressive symptoms but not in anxiety levels). In addition, dose–response between amount of exercise and reductions in anxiety is not well established (2). Another possible explanation for the absence of changes in anxiety levels is that we assessed non-clinical participants. Indeed, at baseline, 88.9% and 88.9% of participants from the HIIT group presented, respectively, state and trait anxiety of low or middle levels, and 94.4% and 77.8% of participants from the SIT group presented, respectively, state and trait anxiety of low and middle levels. Therefore, the absence of changes in anxiety levels is expected due to “ground effect.” Additionally, studies testing the long-term effects of different interval training protocols on depressive and anxious symptoms of patients with anxiety disorders are needed.

Specifically regarding depressive symptoms, notwithstanding that we have evaluated non-clinical participants, we found that both interval protocols led to significantly improved BDI scores. Unlike what was found for anxious symptoms, for depressive symptoms, more than 60% of participants presented some degree of depression at baseline. After the training protocol, about 60% of participants were classified as normal in BDI score. Therefore, interval training protocols applied in the current study were effective in managing depressive symptoms. So far as we are aware, less is known about the long-term effects of interval training protocols in a non-clinical population; thus, our results are a novelty.

As reported by Schuch et al. (43), when considering the available data, aerobic exercise performed three sessions per week over 12 to 24 weeks, delivered in groups, and supervised by an instructor seems to have greater efficacy. In spite of the elevated physiological strain associated with interval training (15, 44) and higher contribution from anaerobic metabolism for energy production, interval training is predominantly aerobic (45). Also, training protocols were delivered in groups by a specialized instructor.

Previous studies explain this positive outcome of exercise in depression levels due to physiological and neurobiological mechanisms (46). Briefly, Heinzel et al. (46) reported that aerobic training improves cardiorespiratory fitness, which stimulates neurotrophins (47, 48), stress-associated hormone cortisol (49), the oxygen and energy supply of the brain (50, 51), and the synthesis and release of endocannabinoids (central and peripheral). These changes might inhibit the hypothalamic–pituitary–adrenal axis, leading to a reduction in cortisol release (52) and, consequently, of the psychological stress response (53, 54), and positive affect (55). As recent studies in major depressive disorders (25, 5658) showed improvements in neurotrophin levels through physical exercise, this mechanism may be related to physical exercise interventions. As reported earlier, Luo et al. (26) found that interval training (in specific HIIT) improved depression and neural plasticity in the hippocampus in poststroke depression rats. Moreover, TaheriChadorneshin et al. (59) found that SIT provided greater increases in brain-derived neurotrophic factor in the brains of rats after 6 weeks than intensive endurance training. In the current study, V˙O2peak increased in both interval training groups; however, we did not find any significant correlation between the V˙O2peak changes and the changes in the other variables investigated. Therefore, experimental studies evaluating the possible mechanisms related to depressive symptom reductions and interval training are needed.

Although we did not assess enjoyment levels, there is evidence that interval training resulted in high enjoyment (14, 60), high adherence (17), and low ratings of perceived exertion (60) in novice exercisers when training involved shorter-duration interval bouts (equal to or less than 1 min) performed at intensities equal or closer to iV˙O2max. Likely, the alternation of stimuli and the shorter total time of the session make interval training (e.g., HIIT and SIT) less monotonous. Thus, it is possible that the greater enjoyment associated with HIIT and SIT may be relevant for improving exercise adherence (an important barrier associated with binomials depression and exercise). Thus, interval exercise must be considered by health professionals as an effective way of treatment.

Finally, some researchers advocate that exercise prescription for depression should be affect-based (61). Moreover, according to Murri et al. (22), “this method expands the traditional focus of exercise prescriptions from the dual goal of maximizing fitness gains while minimizing risk to a model that also aims to ensure that participants consistently derive pleasant affective experiences.”

Limitations of the Study

Our study is not without limitations. Firstly, we did not measure enjoyment after training sessions and total intervention. Secondly, the participants were a non-clinical sample. Although we did not recruit a clinical sample, we believe that any small improvement in depressive and anxious symptoms in a non-clinical population might be an indication that the interventions applied may also provide improvements in a clinical sample. Furthermore, although the lack of reductions in the anxiety scores suggested a possible ground effect, the presence of this effect might suggest that the anxiety-reducing effect of HIIT and SIT might only be noticeable in those with a high level of distress. Thirdly, we did not evaluate the behavioral activation. Fourthly, we did not evaluate psychological and/or physiological mechanisms. Finally, there was no control of the menstrual period during the measurements of anxiety levels and depression symptoms. Therefore, future studies are needed to examine these putative underlying mechanisms.

Conclusions

Eight weeks of HIIT and SIT similarly improved depressive symptoms but not anxiety levels in young adult women. In addition, both interval training protocols improved cardiorespiratory fitness. Therefore, as interval training protocols are performed at high intensities, studies investigating the physiological and psychological mechanisms related to intense exercise and depression constitute a fundamental step towards the broad use of interval training protocols (e.g., HIIT and/or SIT) as an alternative non-pharmacological treatment of depression in the field.

Data Availability

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Comitê de Ética em Pesquisa da Universidade Federal de Goiás (protocol number: 1.542.353). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

RV, PG, and CL designed the study. JN and MB collected the data. RV analyzed the data. RV and CL wrote the manuscript. RV, PG, AR, DS, and CL revised the manuscript. All authors read and approved the final manuscript.

Funding

This study was funded by Fundação de Amparo à Pesquisa do Estado de Goiás-FAPEG/Brazil (grant number 201210267001056) and by Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq/Brazil (grant numbers 475774/2012-4 and 304435/2018-0).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Allyson de Lima, Pablo Prudente (†03-04-2019), and Scott Artiaga for the support in supervision of training sessions throughout the intervention, and all the participants. RV had a fellowship from the Fundação de Amparo à Pesquisa do Estado de Goiás (FAPEG, Brazil) and from the Coordenação de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES, Brazil, finance code 001).

References

1. 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

2. Wipfli BM, Rethorst CD, Landers DM. The anxiolytic effects of exercise: a meta-analysis of randomized trials and dose–response analysis. J Sport Exerc Psychol (2008) 30:392–410. doi: 10.1123/jsep.30.4.392

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cooney GM, Dwan K, Greig CA, Lawlor DA, Rimer J, Waugh FR, et al. Exercise for depression. Cochrane Database Syst Rev (2013) 9:CD004366. doi: 10.1002/14651858.CD004366.pub6

CrossRef Full Text | Google Scholar

4. Powers MB, Asmundson GJG, Smits JAJ. Exercise for mood and anxiety disorders: the state-of-the science. Cogn Behav Ther (2015) 44:237–9. doi: 10.1080/16506073.2015.1047286

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Fox M. What is sedentarism? J Acad Nutr Diet (2012) 112:1124. doi: 10.1016/j.jand.2012.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Vella CA, Taylor K, Drummer D. High-intensity interval and moderate-intensity continuous training elicit similar enjoyment and adherence levels in overweight and obese adults. Eur J Sport Sci (2017) 17:1203–11. doi: 10.1080/17461391.2017.1359679

PubMed Abstract | CrossRef Full Text | Google Scholar

7. 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. Sport Med (2014) 44:1005–17. doi: 10.1007/s40279-014-0180-z

CrossRef Full Text | Google Scholar

8. MacDougall JD, Hicks AL, MacDonald JR, McKelvie RS, Green HJ, Smith KM. Muscle performance and enzymatic adaptations to sprint interval training. J Appl Physiol (1998) 84:2138–42. doi: 10.1152/jappl.1998.84.6.2138

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Naves JPA, Viana RB, Rebelo ACS, de Lira CAB, Pimentel GD, Lobo PCB, et al. Effects of high-intensity interval training vs. sprint interval training on anthropometric measures and cardiorespiratory fitness in healthy young women. Front Physiol (2018) 9:1738. doi: 10.3389/fphys.2018.01738

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Viana RB, Naves JPA, Coswig VS, de Lira CAB, Steele J, Fisher JP, et al. Is interval training the magic bullet for fat loss? A systematic review and meta-analysis comparing moderate-intensity continuous training with high-intensity interval training (HIIT). Br J Sport Med (2019) 53(10):655–64. doi: 10.1136/bjsports-2018-099928

CrossRef Full Text | Google Scholar

11. Gibala MJ, Gillen JB, Percival ME. Physiological and health-related adaptations to low-volume interval training: influences of nutrition and sex. Sport Med (2014) 44:127–37. doi: 10.1007/s40279-014-0259-6

CrossRef Full Text | Google Scholar

12. Viana RB, de Lira CAB, Naves JPA, Coswig VS, Del Vecchio FB, Ramirez-Campillo R, et al. Can we draw general conclusions from interval training studies? Sport Med (2018) 48(9):2001–9. doi: 10.1007/s40279-018-0925-1

CrossRef Full Text | Google Scholar

13. de Souza Moura AM, Lamego MK, Paes F, Ferreira Rocha NB, Simoes-Silva V, Rocha SA, et al. Effects of aerobic exercise on anxiety disorders: a systematic review. CNS Neurol Disord Drug Targets (2015) 14:1184–93. doi: 10.2174/1871527315666151111121259

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Stork MJ, Gibala MJ, Martin Ginis KA. Psychological and behavioral responses to interval and continuous exercise. Med Sci Sports Exerc (2018) 50:2110–21. doi: 10.1249/MSS.0000000000001671

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Saanijoki T, Nummenmaa L, Koivumäki M, Löyttyniemi E, Kalliokoski KK, Hannukainen JC. Affective adaptation to repeated SIT and MICT protocols in insulin-resistant subjects. Med Sci Sports Exerc (2018) 50:18–27. doi: 10.1249/MSS.0000000000001415

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kilpatrick MW, Greeley SJ, Collins LH. The impact of continuous and interval cycle exercise on affect and enjoyment. Res Q Exerc Sport (2015) 86:244–51. doi: 10.1080/02701367.2015.1015673

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Jung ME, Bourne JE, Beauchamp MR, Robinson E, Little JP. High-intensity interval training as an efficacious alternative to moderate-intensity continuous training for adults with prediabetes. J Diabetes Res (2015) 2015:191595. doi: 10.1155/2015/191595

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Jung ME, Bourne JE, Little JP. Where does HIT fit? An examination of the affective response to high-intensity intervals in comparison to continuous moderate– and continuous vigorous-intensity exercise in the exercise intensity–affect continuum. PLoS One (2014) 9:e114541. doi: 10.1371/journal.pone.0114541

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Thum JS, Parsons G, Whittle T, Astorino TA. High-intensity interval training elicits higher enjoyment than moderate intensity continuous exercise. PLoS One (2017) 12:e0166299. doi: 10.1371/journal.pone.0166299

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Astorino TA, Thum JS. Interval training elicits higher enjoyment versus moderate exercise in persons with spinal cord injury. J Spinal Cord Med (2018) 41(1):77–84. doi: 10.1080/10790268.2016.1235754

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Bandelow B, Michaelis S. Epidemiology of anxiety disorders in the 21st century. Dialogues Clin Neurosci (2015) 17:327–35.

PubMed Abstract | Google Scholar

22. Belvederi Murri M, Ekkekakis P, Magagnoli M, Zampogna D, Cattedra S, Capobianco L, et al. Physical exercise in major depression: reducing the mortality gap while improving clinical outcomes. Front Psychiatry (2019) 9:762. doi: 10.3389/fpsyt.2018.00762

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Ballash NG, Pemble MK, Usui WM, Buckley AF, Woodruff-Borden J. Family functioning, perceived control, and anxiety: a mediational model. J Anxiety Disord (2006) 20:486–97. doi: 10.1016/j.janxdis.2005.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

24. NIMH. Any anxiety disorder among adults. National Institute of Mental Health (2016). Available at: https://www.nimh.nih.gov/health/statistics/prevalence/any-anxiety-disorder-among-adults.shtml [Accessed July 16, 2019].

Google Scholar

25. Lee I-T, Fu C-P, Lee W-J, Liang K-W, Lin S-Y, Wan C-J, et al. Brain-derived neurotrophic factor, but not body weight, correlated with a reduction in depression scale scores in men with metabolic syndrome: a prospective weight-reduction study. Diabetol Metab Syndr (2014) 6:18. doi: 10.1186/1758-5996-6-18

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Luo L, Li C, Deng Y, Wang Y, Meng P, Wang Q. High-intensity interval training on neuroplasticity, balance between brain-derived neurotrophic factor and precursor brain-derived neurotrophic factor in poststroke depression rats. J Stroke Cerebrovasc Dis (2019) 28:672–82. doi: 10.1016/j.jstrokecerebrovasdis.2018.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Shephard RJ, Thomas S, Weller I. The Canadian Home Fitness Test. 1991 update. Sports Med (1991) 11(6):358–66.

PubMed Abstract | Google Scholar

28. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA (2013) 310:2191. doi: 10.1001/jama.2013.281053

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wisløff U, Støylen A, Loennechen JP, Bruvold M, Rognmo Ø, Haram PM, et al. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation (2007) 115:3086–94. doi: 10.1161/CIRCULATIONAHA.106.675041

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Gibala MJ, Little JP, Van Essen M, Wilkin GP, Burgomaster KA, Safdar A, et al. Short-term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and exercise performance. J Physiol (2006) 575:901–11. doi: 10.1113/jphysiol.2006.112094

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med (1970) 2:92–8. doi: 10.1037/t58166-000

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Spielberger C, Gorsuch R, Lushene R, Vagg P, Jacobs G. Manual for the State–Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press (1983).

Google Scholar

33. Biaggio AMB, Natalício L, Spielberger CD. Development of the Portuguese experimental form of Spielberger’s State–Trait Anxiety Inventory (STAI). Arq Bras Psicol Apl (1977) 29:31–44.

Google Scholar

34. Spielberger C. State–Trait Anxiety Inventory: a comprehensive bibliography. Palo Alto, CA: Consulting Psychologists Press (1989).

Google Scholar

35. Ensari I, Greenlee TA, Motl RW, Petruzzello SJ. Meta-analysis of acute exercise effects on state anxiety: an update of randomized controlled trials over the past 25 years. Depress Anxiety (2015) 32:624–34. doi: 10.1002/da.22370

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry (1961) 4:561–71. doi: 10.1001/archpsyc.1961.01710120031004

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gorenstein C, Andrade L. Validation of a Portuguese version of the Beck Depression Inventory and the State–Trait Anxiety Inventory in Brazilian subjects. Braz J Med Biol Res (1996) 29:453–7.

PubMed Abstract | Google Scholar

38. Gorenstein C, Andrade L. Beck Depression Inventory: psychometric properties of the Portuguese version. Rev Psiquiatr Clínica (1998) 25:245–50.

Google Scholar

39. Zeltzer L. Beck Depression Inventory (BDI, BDI-II). (2008). Available at: https://www.strokengine.ca/en/assess/bdi/ [Accessed July 29, 2019].

Google Scholar

40. Trilk JL, Singhal A, Bigelman KA, Cureton KJ. Effect of sprint interval training on circulatory function during exercise in sedentary, overweight/obese women. Eur J Appl Physiol (2011) 111:1591–7. doi: 10.1007/s00421-010-1777-z

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Duffield R, Edge J, Bishop D. Effects of high-intensity interval training on the response during severe exercise. J Sci Med Sport (2006) 9:249–55. doi: 10.1016/j.jsams.2006.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Rebar AL, Stanton R, Geard D, Short C, Duncan MJ, Vandelanotte C. A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychol Rev (2015) 9:366–78. doi: 10.1080/17437199.2015.1022901

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Schuch FB, Dunn AL, Kanitz AC, Delevatti RS, Fleck MP. Moderators of response in exercise treatment for depression: a systematic review. J Affect Disord (2016) 195:40–9. doi: 10.1016/j.jad.2016.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Viana RB, Naves JPA, de Lira CAB, Coswig VS, Del Vecchio FB, Vieira CA, et al. Defining the number of bouts and oxygen uptake during the “Tabata protocol” performed at different intensities. Physiol Behav (2018) 189:10–5. doi: 10.1016/j.physbeh.2018.02.045

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Gastin PG. Metabolic profile of high intensity intermittent exercises. Med Sci Sports Exerc (1997) 29:1274–6. doi: 10.1097/00005768-199709000-00023

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Heinzel S, Rapp MA, Fydrich T, Ströhle A, Terán C, Kallies G, et al. Neurobiological mechanisms of exercise and psychotherapy in depression: the SPeED study—rationale, design, and methodological issues. Clin Trials (2018) 15:53–64. doi: 10.1177/1740774517729161

PubMed Abstract | CrossRef Full Text | Google Scholar

47. van Praag H, Kempermann G, Gage FH. Running increases cell proliferation and neurogenesis in the adult mouse dentate gyrus. Nat Neurosci (1999) 2:266–70. doi: 10.1038/6368

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Seifert T, Brassard P, Wissenberg M, Rasmussen P, Nordby P, Stallknecht B, et al. Endurance training enhances BDNF release from the human brain. Am J Physiol Integr Comp Physiol (2010) 298:R372–7. doi: 10.1152/ajpregu.00525.2009

CrossRef Full Text | Google Scholar

49. Plag J, Gaudlitz K, Schumacher S, Dimeo F, Bobbert T, Kirschbaum C, et al. Effect of combined cognitive–behavioural therapy and endurance training on cortisol and salivary alpha-amylase in panic disorder. J Psychiatr Res (2014) 58:12–9. doi: 10.1016/j.jpsychires.2014.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Cotman CW, Berchtold NC, Christie L-A. Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci (2007) 30:464–72. doi: 10.1016/j.tins.2007.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Chen MJ, Ivy AS, Russo-Neustadt AA. Nitric oxide synthesis is required for exercise-induced increases in hippocampal BDNF and phosphatidylinositol 3′ kinase expression. Brain Res Bull (2006) 68:257–68. doi: 10.1016/j.brainresbull.2005.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Taliaz D, Loya A, Gersner R, Haramati S, Chen A, Zangen A. Resilience to chronic stress is mediated by hippocampal brain-derived neurotrophic factor. J Neurosci (2011) 31:4475–83. doi: 10.1523/JNEUROSCI.5725-10.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Hackney AC. Stress and the neuroendocrine system: the role of exercise as a stressor and modifier of stress. Expert Rev Endocrinol Metab (2006) 1:783–92. doi: 10.1586/17446651.1.6.783

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Sothmann MS, Buckworth J, Claytor RP, Cox RH, White-Welkley JE, Dishman RK. Exercise training and the cross-stressor adaptation hypothesis. Exerc Sport Sci Rev (1996) 24:267–87. doi: 10.1249/00003677-199600240-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Zschucke E, Renneberg B, Dimeo F, Wüstenberg T, Ströhle A. The stress-buffering effect of acute exercise: evidence for HPA axis negative feedback. Psychoneuroendocrinology (2015) 51:414–25. doi: 10.1016/j.psyneuen.2014.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Gustafsson G, Lira CM, Johansson J, Wisén 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) 169:244–8. doi: 10.1016/j.psychres.2008.06.030

PubMed Abstract | CrossRef Full Text | Google Scholar

57. 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) 13:595–602. doi: 10.1017/S1461145709991234

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Pereira DS, de Queiroz BZ, Miranda AS, Rocha NP, Felício DC, Mateo EC, et al. Effects of physical exercise on plasma levels of brain-derived neurotrophic factor and depressive symptoms in elderly women—a randomized clinical trial. Arch Phys Med Rehabil (2013) 94:1443–50. doi: 10.1016/j.apmr.2013.03.029

PubMed Abstract | CrossRef Full Text | Google Scholar

59. TaheriChadorneshin H, Cheragh-Birjandi S, Ramezani S, Abtahi-Eivary SH. Comparing sprint and endurance training on anxiety, depression and its relation with brain-derived neurotrophic factor in rats. Behav Brain Res (2017) 329:1–5. doi: 10.1016/j.bbr.2017.04.034

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Kilpatrick MW, Martinez N, Little JP, Jung ME, Jones AM, Price NW, et al. Impact of high-intensity interval duration on perceived exertion. Med Sci Sports Exerc (2015) 47:1038–45. doi: 10.1249/MSS.0000000000000495

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Ladwig M, Hartman M, Ekkekakis P. Affect-based exercise prescription: an idea whose time has come? ACSM’s Heal Fit J (2017) 21:10–5. doi: 10.1249/fit.0000000000000332

CrossRef Full Text | Google Scholar

Keywords: exercise, depression, anxiety, mood disorders, mental health

Citation: Viana RB, Gentil P, Naves JPA, Rebelo ACS, Santos DAT, Braga MAO and de Lira CAB (2019) Interval Training Improves Depressive Symptoms But Not Anxious Symptoms in Healthy Women. Front. Psychiatry 10:661. doi: 10.3389/fpsyt.2019.00661

Received: 26 May 2019; Accepted: 15 August 2019;
Published: 12 September 2019.

Edited by:

Gianluca Serafini, San Martino Hospital (IRCCS), Italy

Reviewed by:

Chien-Han Lai, National Yang-Ming University, Taiwan
Antoine Pelissolo, Hôpitaux Universitaires Henri Mondor, France
Andrea Brugnolo, University of Genoa, Italy

Copyright © 2019 Viana, Gentil, Naves, Rebelo, Santos, Braga and de Lira. 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) and the copyright owner(s) 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: Claudio Andre Barbosa de Lira, andre.claudio@gmail.com

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.