Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-10T11:58:01.282Z Has data issue: false hasContentIssue false

A critical review of exercise as a treatment for clinically depressed adults: time to get pragmatic

Published online by Cambridge University Press:  05 May 2016

Felipe Barreto Schuch*
Affiliation:
Post-Graduation Program of Medical Sciences: Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Ioannis Dimitrios Morres
Affiliation:
Exercise Psychology and Quality of Life Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
Panteleimon Ekkekakis
Affiliation:
Department of Kinesiology, Iowa States University, Ames, IA, USA
Simon Rosenbaum
Affiliation:
School of Psychiatry, University of New South Wales, Sydney, Australia Ingham Institute for Applied Medical Research, Liverpool, Australia
Brendon Stubbs
Affiliation:
Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK Health Service and Population Research Department, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
*
Felipe Barreto Schuch, Programa de Pós-Graduação em Ciências Médicas–Psiquiatria, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. Tel: +55 513 308 5624; Fax: +55 513 308 5624; E-mail:felipe.schuch@ufrgs.br
Rights & Permissions [Opens in a new window]

Abstract

Objective

Although considerable evidence supports the efficacy of exercise as an antidepressant treatment, critical reviews informing routine practice and future research directions are scarce.

Methods

We critically reviewed exercise studies for clinically depressed adults, focussing on the PICOS criteria referred to participants, interventions, comparisons, outcomes, and study designs.

Results

Most studies have not screened their samples for symptom heterogeneity. Also, they have employed heterogeneous exercise interventions and control groups that may lead to an underestimation of the benefits of exercise. In addition, pragmatic trials allowing scalable replication and implementation in routine practice are scarce. Future studies, can consider the research domain criteria as a diagnostic framework, and conduct moderator analyses to identify depressed subgroups with symptomatology and biopsychosocial characteristics associated with differential responses to exercise interventions. The search for biomarkers of the antidepressant responses to exercise should be prioritised. Further, non-physically active comparison groups should be used to minimise treatment cross-overs and thus the underestimation of the effects of exercise interventions. Finally, the use of outcome measures that maintain their validity at low and moderate levels of symptom severity and the development of trials with a pragmatic design are essential.

Conclusion

The current evidence base is fraught with methodological considerations that need to be taken into account in order to increase further our understanding on the impact of exercise as medicine in depression. Future research should include moderator analyses, incorporate biomarker assays, use appropriate control and comparison groups, assess outcomes with psychometrically sensitive measures, and prioritise pragmatic trials towards transition to routine practice.

Type
Perspectives
Copyright
© Scandinavian College of Neuropsychopharmacology 2016 

Significant outcomes

  • Future trials need to address various methodological and clinical considerations based on the ‘participants, interventions, comparisons, outcomes, and study designs (PICOS)’ criteria in order to advance further our understanding on the antidepressant impact of exercise for clinically depressed adults.

Limitations

  • This is a selective critical review. Thus it is prone to bias as it ranks moderate in the evidence hierarchy.

Introduction

A growing corpus of evidence provides substantial evidence that exercise is an efficacious treatment modality for mild to moderate depression (1Reference Craft and Landers7). Previous high-profile reviews (Reference Cooney, Dwan and Greig8,Reference Lawlor and Hopker9), however, have cast doubt on the strength of the supporting evidence, highlighting methodological weaknesses in most of the reviewed randomised controlled trials (RCTs). For example, according to the latest edition of a Cochrane review (Reference Cooney, Dwan and Greig8), ‘analysis of methodologically robust trials only shows a smaller effect in favour of exercise’. A recent critique of the methodological details of this review, however, raised serious doubts about this conclusion due, among other reasons, to problematic inclusion and exclusion criteria upon which trials were selected for the Cochrane review (Reference Ekkekakis10). It is, thus, conceivable that the antidepressant efficacy of exercise might have been underestimated (Reference Schuch, Vancampfort, Richards, Rosenbaum, Ward and Stubbs5,Reference Ekkekakis10), doing a disservice to patients, and highlighting the central importance of sound methodological decisions in yielding accurate estimates of magnitude of the exercise efficacy as a treatment for depression (Reference Schuch and de Almeida Fleck11).

In order to advance our understanding on the antidepressant impact of exercise and to help elucidate the reasons for the discrepant conclusions currently found in the literature, we conducted a selective critical review of relevant studies. For this purpose, we drew on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, focussing specifically on PICOS (Reference Liberati, Altman and Tetzlaff12). Although the PICOS criteria can have a crucial impact on the outcome of any trial, critical assessments of these important factors are scarce on the existing literature of exercise and depression.

Participants

The use of participants with homogenous symptoms and similar changes in response to exercise would reduce within-group variance and increase the effect size associated with exercise interventions. Depression, however, is a heterogeneous disorder (Reference Parker13,Reference Fried and Nesse14) comprising diverse symptomatology (e.g. psychomotor retardation or agitation, increased or decreased appetite, insomnia or hypersomnia). Hence, patients with similar scores on measures of depression may experience dissimilar symptoms (Reference Parker13,Reference Spanemberg, Caldieraro and Vares15,Reference Caldieraro, Baeza, Pinheiro, Ribeiro, Parker and Fleck16). This heterogeneity in symptoms may reflect differences in underlying neurobiological processes (Reference Parker13,Reference Spanemberg, Caldieraro and Vares15,Reference Caldieraro, Baeza, Pinheiro, Ribeiro, Parker and Fleck16), suggesting that the same exercise prescription may be less effective for some patients and more effective for others. The heterogeneity of depression also involves various biopsychosocial factors. For example, a recent review provided initial evidence that clinical (severity of somatic symptoms), biological [brain-derived neurotrophic factor, (BDNF) and tumour necrosis-α], psychological (self-esteem and life satisfaction), and social factors (support and marital status) may moderate the antidepressant effects of exercise (Reference Schuch, Dunn, Kanitz, Delevatti and Fleck17). Hence, developing a typology that would allow matching a depression ‘type’ to the most appropriate exercise prescription would both help advance research and facilitate clinical application.

The issue of classification has been the subject of a long, yet inconclusive debate (Reference Fried and Nesse14) and the recent Diagnostic and Statistical Manual of the American Psychiatric Association (18) failed to provide new insights, especially from a neurobiological perspective (Reference Nemeroff19). In light of this uncertainty, researchers may consider the Research Domain Criteria (RDoC) project. The RDoC aims to develop a taxonomy of mental disorders by taking advantage of research advances. To this end, the core of RDoC is a transdiagnostic matrix of functional dimensions, grouped on various domains including, among others, cognitive and reward-related systems. These are studied through seven units of analysis: (1) genes, (Reference Anderson, Ferrier and Baldwin2) molecules, (Reference Cleare, Pariante and Young3) cells, (Reference Malhi, Bassett and Boyce4) neural circuits, (Reference Schuch, Vancampfort, Richards, Rosenbaum, Ward and Stubbs5) physiology, (Reference Rethorst, Wipfli and Landers6) behaviours and (Reference Craft and Landers7) self-reports (Reference Insel, Cuthbert and Garvey20). The adoption of the RDoC as a research framework is recommended by the National Institute of Mental Health (Reference Insel, Cuthbert and Garvey20), with clear implications for exercise and mental health research.

Research focussing on identifying patient’s biomarkers and predictors of treatment response to exercise should be assigned high priority. This can be done by exploring moderators of the antidepressant effects of exercise, taking into account the following points (Reference Insel, Cuthbert and Garvey20). First, potential moderators must be chosen a priori, in a hypothesis-driven fashion, guided by theory or clinical experience. In this manner, the risk of facing ‘data dredging’ effects or spurious moderators is minimised. Second, data analysis should be based primarily on effect sizes instead of p values, as a large sample size may generate ‘statistically significant’ results of little clinical relevance (Reference Kraemer, Wilson, Fairburn and Agras21). Finally, antidepressant efficacy may be gauged by a battery of outcome measures, instead of a single measure, possibly enhancing reliability, reducing measurement error, and improving the odds of identifying important moderators (Reference Wallace, Frank and Kraemer22). The reporting the mean changes in symptoms on the outcome measure will also help gauge clinical usefulness of interventions compared with controls groups.

Interventions

Identifying the optimal ‘dose’ of exercise in terms of frequency, intensity, duration, or overall volume is also crucial in developing effective exercise interventions for depression. Quantifying exercise in terms of energy expenditure is one possible way of defining ‘dose’. For example, doses of 17.5 and 16.5 kcal/kg/week have been found to be effective as monotherapy and add-on therapy for patients with light-to-moderate (Reference Dunn, Trivedi, Kampert, Clark and Chambliss23) and severe (Reference Schuch, Vasconcelos-Moreno, Borowsky and Fleck24,Reference Schuch, Vasconcelos-Moreno, Borowsky, Zimmermann, Rocha and Fleck25) depression, respectively. Interestingly, intensity in these trials was self-selected, possibly making exercise more suitable to patient preferences and needs.

The energy-expenditure approach to defining the exercise ‘dose’ may be consistent with public health recommendations for physical activity, but may not be the optimal method of deciphering potential biological mechanisms driving the antidepressant effects of exercise (Reference Schuch, Deslandes, Stubbs, Gosmann, Silva and Fleck26). Exercise prescriptions designed to specifically target putative mechanisms of the antidepressant effects of exercise could potentially achieve even greater benefits. A prescribed amount of exercise could be achieved via different combinations of frequency, duration, and intensity. However, each of these may be related to different mechanisms underlying the antidepressant effects of exercise, possibly resulting in a varying degree of symptom reduction. Some patients may reach the same prescribed amount of exercise via low-intensity and long-duration interventions (e.g. walking for a long distance) or via high intensity for a short duration (e.g. brief periods of running). Given the multitude of possible ways of reaching the same total amount of energy expenditure, identifying the frequency, duration, and intensity that optimally stimulate the biological mechanisms underlying the antidepressant effects of exercise becomes difficult, if not impossible. Instead, dose-response studies that manipulate specific parameters of the exercise dose (i.e. frequency, duration, intensity) specifically targeted for each individual, ideally in a factorial design, should be preferred, despite their high cost.

Gaining better understanding of the neurobiological processes underlying the antidepressant effects of exercise (Reference Schuch, Deslandes, Stubbs, Gosmann, Silva and Fleck26) will be crucial in designing more effective exercise interventions. For this purpose, hormonal, oxidative-stress, and neurogenetic pathways should be considered (Reference Schuch, Deslandes, Stubbs, Gosmann, Silva and Fleck26). The upregulation of BDNF (Reference Deslandes, Moraes and Ferreira27) may warrant particular attention. BDNF promotes the process of neurogenesis. Acute bouts of exercise have been found to increase the serum levels of BDNF in psychiatric patients (Reference Schuch, Deslandes, Stubbs, Gosmann, Silva and Fleck26 Reference Broocks, Ahrendt and Sommer28Reference Schuch, da Silveira and de Zeni32). Both exercise intensity and volume play a significant role in the magnitude of the exercise-induced effect on BDNF (Reference Schmolesky, Webb and Hansen33). It should be noted, however, that the BDNF response to long-term exercise in people with major depression is presently less clear (Reference Schuch, Deslandes, Stubbs, Gosmann, Silva and Fleck26,Reference Schuch, Vasconcelos-Moreno and Borowsky34Reference Toups, Greer and Kurian36).

Comparisons

Similar to other non-pharmacological treatments (Reference Donovan, Kwekkeboom, Rosenzweig and Ward37,Reference Weimer, Colloca and Enck38), it has not been possible to disentangle the relative contribution of the effect of exercise on depression versus other non-exercise-specific factors, which can also play a role. For example, in most cases, exercising involves social interaction, which may have its own antidepressant effects, independent of exercise (Reference Stathopoulou, Powers, Berry, Smits and Otto39). However, social support has not been shown to be a strong predictor of subsequent depression (Reference Morres, Van de Vliet, Knapen and VanCoppenolle40) or contributor to the antidepressant effects of exercise (Reference Callaghan, Khalil, Morres and Carter41). Nevertheless, trial arms must fully balance social influences to rule out any confounding impact on between-group comparisons and safeguard internal validity.

A common trend in RCTs investigating the antidepressant effects of exercise is to employ ‘control’ groups that also receive exercise, albeit of a different modality and/or intensity than that administered to the ‘treatment’ groups (e.g. aerobic exercise is compared with strength and flexibility training). The rationale typically offered for employing such groups as controls is that the current literature does not contain descriptions of specific mechanistic pathways by which these alternate exercise modalities might influence depression. Rather than being inert, however, alternate modalities of exercise have consistently been associated with statistically reliable and clinically meaningful reductions in depressive symptoms (Reference Stubbs, Vancampfort and Rosenbaum42). As all modalities of exercise share many common biological features (e.g. repeated cycles of muscular contraction and relaxation, some degree of stimulation of the cardiovascular system), the employment of comparators also engaged in a form of exercise as ‘control’ may introduce a critical confound in exercise studies for depression.

As one example, based on the results of an RCT comparing aerobic exercise, strength exercise, and a ‘control’ arm engaged in ‘relaxation,’ the authors stated: ‘Our findings do not support a biologically mediated effect of exercise on symptom severity in depressed patients’ (Reference Krogh, Saltin, Gluud and Nordentoft43). This conclusion was intended to reflect the lack of significant differences in post-intervention depression scores between the three groups. All groups, however, including the ‘control’ group that was described as engaged in ‘relaxation,’ exhibited meaningful improvements in physical fitness (aerobic capacity and strength) and, accordingly, also showed substantially reduced post-intervention depressive symptomatology. Specifically, from pre- to post-intervention, the aerobic exercise group exhibited a standardised mean difference (SMD) of −1.15 (95% CI −1.56–0.75), the strength intervention showed a SMD of −1.57 (95% CI −2.00 to −1.14), and the ‘relaxation’ group had a SMD of −1.27 (95% CI −1.68 to −0.86). Although the provision of a fitness-enhancing exercise intervention to the group designated as ‘control’ arguably can turn the aforementioned conclusion from this trial on its head, this crucial confound only received a brief and rather inconspicuous acknowledgement in the discussion: ‘Limitations include confounding due to a possible antidepressant effect of the intervention used in our control group (relaxation training)’ (Reference Stathopoulou, Powers, Berry, Smits and Otto39).

In another RCT that compared a group engaged in aerobic exercise with a ‘control’ group engaged in a treatment described as ‘stretching exercise,’ the researchers concluded: ‘our trial data do not support any effect of aerobic exercise on depressive symptoms’ (Reference Krogh, Videbech, Thomsen, Gluud and Nordentoft44). In actuality, however, besides 20 min of stretching, participants in the ‘control’ group also engaged in 25 min of low-intensity aerobic exercise, including 10 min of ‘warm-up on a stationary bike’ and 15 min of ‘throwing and catching balls.’ As in the previous trial, it is noteworthy to mention that both groups exhibited large reductions in depressive symptoms (aerobic, SMD −1.37, 95% CI −1.78 to −0.96; stretching, SMD −1.51, 95% CI −1.92 to −1.10) mirroring an entirely different-(positive) antidepressant status for exercise compared with the one presented by the trialists.

To avoid misleading conclusions, trialists, as well as authors, reviewers, editors, and readers engaged in critical appraisal, should consider the magnitude of changes in depressive symptoms in both the experimental and control groups, especially when the control groups also engaged in a type of exercise. The necessity of scrutinising the nature of treatments provided to groups described as ‘controls’ is also underscored by a recent meta-analysis of exercise trials for depression (Reference Stubbs, Vancampfort and Rosenbaum42). This study has found uncommonly large reductions in depressive symptoms in ‘control’ groups receiving alternate exercise treatments (e.g. stretching) (Reference Stubbs, Vancampfort and Rosenbaum42). These reductions were two times larger when compared with those reductions experienced by control groups assigned to trials on antidepressant medication.

Outcomes

Widely used outcome measures, such as the clinician-administered Hamilton Rating Scale for depression (Reference Hamilton45), have been known to present various psychometric problems, including lack of unidimensionality and poor ability to detect changes among individuals with mild to moderate depressive symptoms (Reference Isacsson and Adler46,Reference Salum, Manfro and Fleck47). These problems may be particularly pertinent to studies investigating the antidepressant effects of exercise because exercise is a treatment that is specifically recommended for individuals with mild to moderate symptom severity. In the latest edition of the Cochrane review on exercise for depression (Reference Cooney, Dwan and Greig8), >90% of the reviewed trials included patients with mild to moderate levels of depressive symptoms. Hence, the use of the Hamilton rating scale may not accurately reflect the magnitude of the antidepressant effect of exercise. Instead, recently developed scales based on Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) criteria, such as the Inventory of Depressive Symptoms, may more accurately reflect changes across all levels of symptom severity (Reference Helmreich, Wagner and Mergl48). Thus, their use in future trials is strongly recommended.

Study design

RCTs are widely considered the ‘gold standard’ for establishing the causal effect of a given therapy on a certain clinical outcome. Establishing the causal effect, however, is conditional upon the degree of bias inherent in the experimental design or the extent to which the trials meet important criteria of methodological quality (Reference Akobeng49,Reference Moher, Schulz, Altman and Group50). Given that risk of bias has been shown to be inversely associated with the magnitude of intervention effects (Reference Wood, Egger and Gluud51), trials with a methodologically robust design are essential. Methodological criteria commonly considered hallmarks of a robust design include the generation of truly random allocation sequences, the successful concealment of group allocation, the blinding of outcome assessors, intention-to-treat analyses, the complete reporting of point estimates and variability indices on the primary outcome measures, and between-group baseline balance in the most important prognostic indicators including the primary outcome. Blinding participants and treatment providers are also considered crucial methodological criteria. However, the nature of an exercise intervention makes it impossible to blind both the participants themselves and the individuals administering the exercise interventions, clearly this is a particular challenge in control group arms of trials. Collecting and reporting data on drop-out rates, side effects, other adverse events, and the number needed to treat can also offer valuable insight into the acceptability of exercise as an intervention strategy. Finally, follow-up assessments can provide much-needed information about the enduring effects of exercise interventions.

Over the past 30 years, the methodological quality of RCTs investigating the antidepressant effects of exercise has improved, reflected by improved adherence with reporting standards (Reference Perraton, Kumar and Machotka52Reference Morres, Stathi, Martinsen and Sørensen54). Recent RCTs, in particular, tend to be of high methodological quality by commonly employed criteria (Reference Schuch, Vasconcelos-Moreno, Borowsky, Zimmermann, Rocha and Fleck25,Reference Hallgren, Kraepelien and Öjehagen55) and sample sizes have been substantially increased (Reference Akobeng49). Pragmatic RCTs, however, are scarce (Reference Callaghan, Khalil, Morres and Carter41). Pragmatic RCTs are characterised by high external validity (outcome generalisability) by virtue of methodological features that are more closely aligned with ‘real life’ practice norms, such as interventions delivered in routine practice and inclusive (non-restrictive) eligibility criteria for participation (Reference Hotopf56). Thus, pragmatic RCTs can be invaluable in facilitating the translation of clinical trial results to routine practice. This is of major importance given that practitioners are faced with a series of challenges in treating depressed patients. These challenges include primarily limited time and resources. Thus, we encourage researchers to conduct pragmatic RCTs. Given that a number of clinicians report lack of confidence in designing appropriate exercise prescriptions as a result of the aforementioned challenges, and that supervised trials present a lower drop-out rate (Reference Stubbs, Vancampfort and Rosenbaum57), it is noteworthy that a pragmatic trial involving supervised-based exercise of preferred (self-selected) intensity yielded promising results in terms of safety, compliance, and depressive symptom reductions (Reference Callaghan, Khalil, Morres and Carter41).

Conclusion

Specifying and advancing the current understanding of the antidepressant effects of exercise in relationship to the PICOS criteria is an important clinical topic with broad implications. The factors associated with the PICOS criteria that were reviewed here should be considered not only when designing future trials aiming to advance further previous trial outcomes but also when critically appraising published RCTs. In particular, with reference to participants, researchers should consider the RDoC (not only the DSM) as a diagnostic framework and include moderator analyses. Regarding the design of exercise interventions, the relationships between potential biological mediators (e.g. BDNF) and components of the exercise dose (e.g. volume or intensity) should be considered. With regard to control or comparison groups, while balancing non-specific effects (e.g. social interaction) is essential in safeguarding internal validity, the use of alternate-modality exercise interventions as ‘controls’ creates serious confounds and should be avoided especially as alternate exercise modalities bring about antidepressant effects. In evaluating the results of trials employing exercising groups as ‘controls,’ trialists and critical readers are urged to assess the clinical meaningfulness of pre-to-post changes in depressive symptoms within these groups in addition to between-group comparisons post-intervention. With respect to outcomes, psychometric scales that can accurately reflect changes at mild and moderate levels of depressive symptomatology should be preferred, as these are likely to be the most prevalent levels of symptom severity in recruited samples. Lastly, concerning study designs, researchers are encouraged to conduct more pragmatic (effectiveness) RCTs, to pave the way for the development of more practical and scalable exercise interventions that will be embedded in routine practice.

Acknowledgements

The authors would like to thank the Conselho nacional desenvolvimento científico e tecnológico (CNPq), Coordenação de aperfeiçoamento de pessoal de nível superior (CAPES), and the Exercise Psychology and Quality of Life Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece. Authors’ Contribution: F.B.S., I.D.M., P.E., S.R., and B.S. contributed to the manuscript design and writing. All authors agreed with the final version of the manuscript.

Financial Support

The authors received no specific funding for this review from any agency, commercial entity, or not-for-profit organisation.

Conflicts of Interest

The authors declare no potential conflict of interest.

References

1. National Instituce for Clinical Excellence (NICE). Depression: the treatment and management of depression in adults, 2009. www.nice.org.uk/CG90 Google Scholar
2. Anderson, IM, Ferrier, IN, Baldwin, RC et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharmacol 2008;22:343396.Google Scholar
3. Cleare, A, Pariante, C, Young, A et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2008 British Association for Psychopharmacology guidelines. J Psychopharmacol 2015;29:459525.Google Scholar
4. Malhi, GS, Bassett, D, Boyce, P et al. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Aust N Z J Psychiatry 2015;49:10871206.CrossRefGoogle ScholarPubMed
5. Schuch, FB, Vancampfort, D, Richards, J, Rosenbaum, S, Ward, PB, Stubbs, B. Exercise as a treatment for depression: a meta-analysis adjusting for publication bias. J Psychiatr Res 2016;77:4251.Google Scholar
6. Rethorst, CD, Wipfli, BM, Landers, DM. The antidepressive effects of exercise: a meta-analysis of randomized trials. Sports Med 2009;39:491511.Google Scholar
7. Craft, LL, Landers, DM. The effects of exercise on clinical depression and depression resulting from mental illness: a meta-regression analysis. J Sport Exerc Psychol 1998;20:339357.CrossRefGoogle Scholar
8. Cooney, GM, Dwan, K, Greig, CA et al. Exercise for depression. Cochrane Database Syst Rev 2013;9:CD004366.Google Scholar
9. Lawlor, DA, Hopker, SW. The effectiveness of exercise as an intervention in the management of depression: systematic review and meta-regression analysis of randomised controlled trials. BMJ 2001;322:763767.CrossRefGoogle ScholarPubMed
10. Ekkekakis, P. Honey, I shrunk the pooled SMD! Guide to critical appraisal of systematic reviews and meta-analyses using the Cochrane review on exercise for depression as example. Ment Health Phys Act 2015;8:2136.Google Scholar
11. Schuch, FB, de Almeida Fleck, MP. Is exercise an efficacious treatment for depression? A comment upon recent negative findings. Front Psychiatry 2013;4:20.Google Scholar
12. Liberati, A, Altman, DG, Tetzlaff, J et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 2009;151:W-65W-94.Google Scholar
13. Parker, G. Beyond major depression. Psychol Med 2005;35:467474.CrossRefGoogle ScholarPubMed
14. Fried, EI, Nesse, RM. Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR*D study. J Affect Disord 2015;172:96102.CrossRefGoogle Scholar
15. Spanemberg, L, Caldieraro, MA, Vares, EA et al. Biological differences between melancholic and nonmelancholic depression subtyped by the CORE measure. Neuropsychiatr Dis Treat 2014;10:15231531.CrossRefGoogle ScholarPubMed
16. Caldieraro, MA, Baeza, FL, Pinheiro, DO, Ribeiro, MR, Parker, G, Fleck, MP. Clinical differences between melancholic and nonmelancholic depression as defined by the CORE system. Compr Psychiatry 2013;54:1115.Google Scholar
17. 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;195:4049.Google Scholar
18. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 5th edn. Arlington, TX: American Psychiatric Association, 2013.Google Scholar
19. Nemeroff, CB. The burden of severe depression: a review of diagnostic challenges and treatment alternatives. J Psychiatr Res 2007;41:189206.CrossRefGoogle ScholarPubMed
20. Insel, T, Cuthbert, B, Garvey, M et al. Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry 2010;167:748751.Google Scholar
21. Kraemer, HC, Wilson, GT, Fairburn, CG, Agras, WS. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry 2002;59:877883.Google Scholar
22. Wallace, ML, Frank, E, Kraemer, HC. A novel approach for developing and interpreting treatment moderator profiles in randomized clinical trials. JAMA Psychiatry 2013;70:12411247.Google Scholar
23. Dunn, AL, Trivedi, MH, Kampert, JB, Clark, CG, Chambliss, HO. Exercise treatment for depression: efficacy and dose response. Am J Prev Med 2005;28:18.CrossRefGoogle ScholarPubMed
24. Schuch, FB, Vasconcelos-Moreno, MP, Borowsky, C, Fleck, MP. Exercise and severe depression: preliminary results of an add-on study. J Affect Disord 2011;133:615618.Google Scholar
25. Schuch, FB, Vasconcelos-Moreno, MP, Borowsky, C, Zimmermann, AB, Rocha, NS, Fleck, MP. Exercise and severe major depression: effect on symptom severity and quality of life at discharge in an inpatient cohort. J Psychiatr Res 2015;61:2532.CrossRefGoogle Scholar
26. Schuch, FB, Deslandes, AC, Stubbs, B, Gosmann, NP, Silva, CT, Fleck, MP. Neurobiological effects of exercise on major depressive disorder: a systematic review. Neurosci Biobehav Rev 2016;61:111.Google Scholar
27. Deslandes, A, Moraes, H, Ferreira, C et al. Exercise and mental health: many reasons to move. Neuropsychobiology 2009;59:191198.Google Scholar
28. Broocks, A, Ahrendt, U, Sommer, M. Physical training in the treatment of depressive disorders. Psychiatr Prax 2007;34(Suppl.):S300S304.Google Scholar
29. Heyman, E, Gamelin, FX, Goekint, M et al. Intense exercise increases circulating endocannabinoid and BDNF levels in humans-possible implications for reward and depression. Psychoneuroendocrinology 2012;37:844851.Google Scholar
30. Huang, T, Larsen, KT, Ried-Larsen, M, Moller, NC, Andersen, LB. The effects of physical activity and exercise on brain-derived neurotrophic factor in healthy humans: a review. Scand J Med Sci Sports 2014;24:110.Google Scholar
31. Szuhany, KL, Bugatti, M, Otto, MW. A meta-analytic review of the effects of exercise on brain-derived neurotrophic factor. J Psychiatr Res 2015;60:5664.Google Scholar
32. Schuch, FB, da Silveira, LE, de Zeni, TC et al. Effects of a single bout of maximal aerobic exercise on BDNF in bipolar disorder: a gender-based response. Psychiatry Res 2015;229:5762.Google Scholar
33. Schmolesky, MT, Webb, DL, Hansen, RA. The effects of aerobic exercise intensity and duration on levels of brain-derived neurotrophic factor in healthy men. J Sports Sci Med 2013;12:502511.Google ScholarPubMed
34. Schuch, FB, Vasconcelos-Moreno, MP, Borowsky, C et al. The effects of exercise on oxidative stress (TBARS) and BDNF in severely depressed inpatients. European Archives of Psychiatry and Clinical Neuroscience 2014;264:605613.Google Scholar
35. Salehi, I, Hosseini, SM, Haghighi, M et al. Electroconvulsive therapy and aerobic exercise training increased BDNF and ameliorated depressive symptoms in patients suffering from treatment-resistant major depressive disorder. J Psychiatr Res 2014;57:117124.Google Scholar
36. Toups, MSP, Greer, TL, Kurian, BT et al. Effects of serum brain derived neurotrophic factor on exercise augmentation treatment of depression. J Psychiatr Res 2011;45:13011306.Google Scholar
37. Donovan, HS, Kwekkeboom, KL, Rosenzweig, MQ, Ward, SE. Non-specific effects in psycho-educational intervention research. West J Nurs Res 2009;31:983998.Google Scholar
38. Weimer, K, Colloca, L, Enck, P. Placebo effects in psychiatry: mediators and moderators. Lancet Psychiatry 2:246257.CrossRefGoogle Scholar
39. Stathopoulou, G, Powers, MB, Berry, AC, Smits, JAJ, Otto, MW. Exercise interventions for mental health: a quantitative and qualitative review. Clin Psychol Sci Prac 2006;13:179193.CrossRefGoogle Scholar
40. Morres, I, Van de Vliet, P, Knapen, J, VanCoppenolle, H. Determinants of exercise participation in relationship to severity of clinical depression in adult female psychiatric in-patients. Eur Bull Adapt Phys Act 2003;2.Google Scholar
41. Callaghan, P, Khalil, E, Morres, I, Carter, T. Pragmatic randomised controlled trial of preferred intensity exercise in women living with depression. BMC Public Health 2011;11:465.Google Scholar
42. Stubbs, B, Vancampfort, D, Rosenbaum, S et al. Challenges establishing the efficacy of exercise as an antidepressant treatment: a systematic review and meta-analysis of control group responses in exercise randomised controlled trials. Sports Med 2015;115 (in press).Google Scholar
43. Krogh, J, Saltin, B, Gluud, C, Nordentoft, M. The DEMO trial: a randomized, parallel-group, observer-blinded clinical trial of strength versus aerobic versus relaxation training for patients with mild to moderate depression. J Clin Psychiatry 2009;70:790800.Google Scholar
44. Krogh, J, Videbech, P, Thomsen, C, Gluud, C, Nordentoft, M. DEMO-II trial. Aerobic exercise versus stretching exercise in patients with major depression-a randomised clinical trial. PLoS One 2012;7:e48316.Google Scholar
45. Hamilton, M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol 1967;6:278296.Google Scholar
46. Isacsson, G, Adler, M. Randomized clinical trials underestimate the efficacy of antidepressants in less severe depression. Acta Psychiatr Scand 2012;125:453459.CrossRefGoogle ScholarPubMed
47. Salum, GA, Manfro, GG, Fleck, MP. What is not ‘effective’ in mild to moderate depression: antidepressants or the Hamilton Rating Scale for depression? CNS Spectr 2011;16:99.CrossRefGoogle ScholarPubMed
48. Helmreich, I, Wagner, S, Mergl, R et al. Sensitivity to changes during antidepressant treatment: a comparison of unidimensional subscales of the Inventory of Depressive Symptomatology (IDS-C) and the Hamilton Depression Rating Scale (HAMD) in patients with mild major, minor or subsyndromal depression. Eur Arch Psychiatry Clin Neurosci 2012;262:291304.Google Scholar
49. Akobeng, A. Understanding randomised controlled trials. Arch Dis Child 2005;90:840844.Google Scholar
50. Moher, D, Schulz, KF, Altman, DG, Group, C. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials. Lancet 2001;357:11911194.Google Scholar
51. Wood, L, Egger, M, Gluud, LL et al. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study. BMJ 2008;336:601605.CrossRefGoogle ScholarPubMed
52. Perraton, LG, Kumar, S, Machotka, Z. Exercise parameters in the treatment of clinical depression: a systematic review of randomized controlled trials. J Eval Clin Pract 2010;16:597604.Google Scholar
53. Stanton, R, Reaburn, P. Exercise and the treatment of depression: a review of the exercise program variables. J Sci Med Sport 2013;2:177182.Google Scholar
54. Morres, I, Stathi, A, Martinsen, EW, Sørensen, M. Physical exercise and major depressive disorder in adult patients. In: HD Papaioannou AG, editor Routledge companion to sport and exercise psychology: global perspectives and fundamental concepts. UK: Taylor & Francis, 2014; p. 823834.Google Scholar
55. Hallgren, M, Kraepelien, M, Öjehagen, A et al. Physical exercise and internet-based cognitive behavioural therapy in the treatment of depression: randomised controlled trial. Br J Psychiatry 2015;207:227234.Google Scholar
56. Hotopf, M. The pragmatic randomised controlled trial. Adv Psychiatr Treat 2002;8:326333.Google Scholar
57. Stubbs, B, Vancampfort, D, Rosenbaum, S et al. Dropout from exercise randomized controlled trials among people with depression: a meta-analysis and meta regression. J Affect Disord 2016;190:457466.Google Scholar