Skip to main content

SYSTEMATIC REVIEW article

Front. Psychol., 04 January 2023
Sec. Movement Science
This article is part of the Research Topic Psychological Factors in Physical Education and Sport, volume II View all 19 articles

The strategies of exercise intervention for adolescent depression: A meta-analysis of randomized controlled trials

\r\nChang Sheng ZhangChang Sheng Zhang1Liang ChengLiang Cheng2Xiaoan ChenXiaoan Chen3Yi WangYi Wang3Shuguang WeiShuguang Wei4Jinxiu Sun*Jinxiu Sun3*
  • 1School of Physical Education, Chengdu Sport University, Chengdu, China
  • 2School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
  • 3School of Sports Science, Jishou University, Jishou, Hunan, China
  • 4Department of Psychology, College of Education, Hebei Normal University, Hebei, China

Purpose: This study aimed to investigate the effect of exercise intervention, and analyze exercise intervention strategies for adolescent depression through a meta-analysis of RCTs.

Methods: Accordance to PRISMA guidelines, PubMed, Medline, EBSCO, Web of Science, SPORTDiscus, PsycINFO, ProQuest, and CNKI were searched for eligible records. Peer-reviewed studies were included if they met the following criteria: population (mean age of 10–18 years), intervention (physical activity, sport, or exercise), and outcomes (depression, adherence, ITT, dropout, adverse events, follow-up report). The protocol of this systematic review was registered in PROSPERO (CRD42022321683). Effect sizes calculations and methodological quality of exercise intervention (TESTEX scale) were carried out. The certainty of evidence was assessed by GRADE framework.

Results: Thirteen randomized controlled trials were eligible for this review, which comprised a total of 433 adolescents. Compared with the control treatment, the effect of exercise on adolescent depression was moderate (SMD = −0.65, 95%CI: −1.03 to −0.27, p < 0.01). Heterogeneity was substantial (T2 = 0.30, I2 = 67%, p < 0.01). The moderating effect analysis showed that exercise intervention characteristics (organization form, exercise frequency, exercise intensity, exercise type, and single exercise session duration) of included studies varied greatly revealing multiple factors that may impact the antidepressant effect of exercise on adolescent depression (I2 > 50%, p < 0.05). Three studies show that the positive effect of exercise on reducing depression in adolescents remained 40 weeks after the intervention. Moreover, owing to the included studies contained methodological limitations, the certainty of evidence was reduced to moderate level.

Conclusion: This study shows that exercise intervention has a moderate and sustained positive effect on adolescent depression. Our results recommended that adolescents with depression undertake moderate to high intensity group mixed exercise for more than 12 weeks, 20 to 60 min/time, more than 3 times/week. Additionally, our study also shows that the antidepressant effects remained for a long time after the end of exercise interventions. However, following the GRADE framework, we rated the certainty of evidence the primary meta-analysis as moderate evidence due to some limitations of included studies. Therefore, rigorous studies are still needed to verify the results.

Systematic review registration: [https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=321683], identifier [CRD42022321683].

Introduction

Depressive symptoms and depressive disorders are a common threat to the mental health of adolescents (World Health Organization, 2020). Depressive disorder is diagnosed when depressive symptoms are present for most days over at least 1 year (Thapar et al., 2012). According to the Centers for Disease Control and Prevention, an estimated 4.4 million adolescents in the United States had been diagnosed with depression as of 2016 (Centers for Disease Control and Prevention of American, 2018). According to the latest Chinese official data, the overall prevalence of depression among Chinese teenagers is 15.4% (Huang et al., 2019). However, it should be noted that the official or relevant statistical data are only obtained through clinical diagnosis or self-rating depression scale screening. In reality, there are still a considerable number of children and adolescents with depression due to the sense of medical fraud (Dunn et al., 2005), concealment of disease (Costello et al., 2006), and other factors are not detected. This situation means that a significant number of adolescents with depression do not receive timely intervention. What is more important is that the negative effects of depression can extend to the employment and social status of teenagers, and even lead to self-harm or suicide in serious cases (Clayborne et al., 2019). Depression of adolescent imposes a heavy burden of disease on countries, societies and individuals (Kessler and Bromet, 2013; Sagatun et al., 2016). Therefore, this study will focus on the active prevention and treatment of depression and depressive symptoms in adolescents.

At present, the treatment of adolescent depression mainly includes drug therapy and psychological therapy (Weisz et al., 2017). In drug therapy, clinical guidelines recommend tricyclic antidepressants (TCA), selective serotonin reuptake inhibitors (SSRIs) and fluoxetine. But relevant studies show that drug therapy is not ideal (Cox et al., 2012). There is no targeted antidepressant drug for all patients, and drug therapy costs are high and relapse rate is high (Weisz et al., 2017). Some drugs also have side effects such as weight gain, increased blood pressure and impaired sexual function (Pinna, 2015; Cipriani et al., 2016). Fluoxetine has been associated with suicide and high-risk ideational behavior in adolescents (Hammad et al., 2006; Bridge et al., 2007). Cognitive behavioral therapy (CBT) has been confirmed to have moderate to large effect sizes in the treatment of adolescent depression (Klein et al., 2007; Cuijpers et al., 2011). But CBT takes a relatively long time and is expensive (Asarnow et al., 2009). Therefore, it has become the focus of clinicians and researchers to explore the treatment of adolescent depression with convenient operation, low cost and good efficacy.

In recent years, exercise intervention has been recognized as a potentially valuable alternative or adjunct to adolescent depression (Oberste et al., 2018). At present, some meta-analysis has proved that exercise intervention can achieve moderate to large effect size in the treatment of depression (Hu et al., 2020). However, there are many problems with the study results of exercise intervention in adolescent depression. First of all, existing meta-analyses on the efficacy of exercise intervention in the treatment of adolescent depression are controversial. Meta-analysis of Wunram et al. (2018) showed that exercise intervention had a moderate effect size on the treatment of adolescent depression. However, a meta-analysis conducted by Radovic et al. (2017) revealed that exercise intervention had only a small effect size on the treatment of adolescent depression. The controversy of meta-analysis results has brought some confusion to researchers and clinicians, and affected the practical application of exercise intervention in the treatment of adolescent depression. Therefore, it is urgent to review high-quality RCTs to determine the efficacy of exercise on adolescent depression. In the second place, the existing meta-analysis of potential regulatory variables affecting exercise intervention in adolescent depression is not sufficient. And there is debate about the characteristics of the exercise intervention strategies for adolescent depression. Meta-analysis of Wegner et al. (2020) investigated the moderating effects of intervention duration, frequency and type on exercise treatment of adolescent depression. However, the moderating effects of such variables as organization form, single session duration and intensity were not further explored. In addition, there is a lack of retrospective analysis of the sustainability of effects after exercise intervention for adolescent depression.

Therefore, the purpose of this systematic review and meta-analysis is going to investigate the effect size of exercise intervention, and to analyze different exercise intervention strategies for adolescent depression through a meta-analysis of Randomized Controlled Trials. Additionally, we also are going to investigate the sustainability of effects after exercise intervention for adolescent depression, and examine the certainty of evidence in this meta-analysis by using the GRADE framework.

Methods

The specific operation and writing process of this study followed the PRISMA 2020 guidelines and statement (Page et al., 2021; Supplementary Table 1). The protocol of this systematic review was registered in PROSPERO (CRD42022321683).

Eligibility criteria

The eligibility criteria of this article were followed the PICOS framework (Liberati et al., 2009). Only the study that conform to the PICOS framework were considered for inclusion. In addition, included studies must be published in English or Chinese in peer-reviewed journals. The eligibility criteria of this review was set before performing a literature search. The eligibility criteria were determined on 1 March 2022, and the last search date was 30 April 2022.

Population

Studies were eligible for this review if the participants with a mean age of 10 to 18 years. Furthermore, it is required that the baseline level of depression of the included participants must reach the minimum threshold of depression prescribed by clinical diagnosis or self-rating scale, without other comorbidities (e.g., obesity, cancer, and diabetes).

Intervention

Studies were eligible for this review if the treatment meets the American Academy of Sports Medicine’s definition of physical activity. The American Academy of Sports Medicine defines “physical activity” as: “[…] any bodily movement produced by the skeletal muscles that results in energy expenditure above resting levels” (American College of Sports Medicine, 2017). Physical activity, just like The American College of Sports Medicine definition, is an umbrella term that includes subcategories such as sports, leisure activities, and exercise. Exercise, in this article, is defined as a training physical activity intervention that is planned and structured, repetitive and purposeful, leading to a change in fitness (Wegner et al., 2020). Therefore, physical activity includes exercise, but not all physical activity is exercise. Nevertheless, we included physical activity to our search in order to avoid missing some research on exercise.

Comparison

Trials were eligible for this review if they compared the effects of exercise and the control group treatment. The control group included in the study requires no additional any exercise or physical activity, which can be educational interventions, recreational games, waiting lists, no interventions, normal medication, etc.

Outcome

Included studies were required to report participants’ depressive symptom severity or depression rating Scale scores before and after the trial. Studies use a variety of depression scales like, for example: Depressed Adjective Checklist (DACL), 90-item Self-Rating Depression Scale (SCL-90-R), Achenbach Child Behavior Scale (CBCL), Reynolds Adolescent Depression Scale (RADS), Hamilton self-rating depression scale (Ham-D), Baker self-rating depression scale (BDI, BDI-2).

Study design

Only Randomized Controlled Trials were eligible for this article. Additionally, included studies were required there was no significant difference in baseline of all indexes between the experimental group and the control group before the test.

Search strategy

The electronic search strategy for this study was carried out under the guidance of a research librarian with expertise in systematic reviews. The following databases were searched: PubMed, Medline, EBSCO, Web of Science, SPORTDiscus, PsycINFO, ProQuest, CNKI. The filter of electronic database was used. The search was last conducted 30 April 2022.

Two independent members of the review team (CZ and LC) searched using the operators “AND,” “OR” as well as “*” according to the designed retrieval strategy. Search strategies were modified for each database, and MeSH terms were used when applicable. A variety of search terms were as follows: “Depress*,” “affective symptom,” “affective disorder,” “mood disorder,” “child*,” “adolesc*,” “pubert*,” “girl*,” “boy*,” “youth*,” “teen*,” “exercis*,” “sport*,” “physical activity,” “physical exertion,” “physical training,” “physical education,” “running,” “jogging,” “walking,” “bicycling,” “swimming,” “strength training.” In addition, Meta analyses related to this research topic were searched in each database to supplement the missing literature. The detailed search strategy of this meta-analysis is provided in Supplementary Table 2.

Data extraction

ENDNOTE X9.0 software was used to remove the repeated processing of literature retrieval. Two researchers (CZ and LC) independently completed literature screening and data extraction according to the above reference inclusion and exclusion criteria. Data extraction included reference information (author, publication year, country), Study design, population information (sample size, age range, sex ratio, description), exercise intervention information (type, Organizational form, frequency, duration, intensity), control intervention information, outcome measure and results (depression, adherence, ITT, dropout, adverse events, follow-up report). For those studies that do not meet the inclusion criteria, review, duplicate publication, irrelevant to the research topic, and have low quality evaluation in the retrieval results, it is eliminated. In addition, the full text of the study was not obtained, and the study whose contact author failed to obtain data was also excluded. Cross-check the results of literature screening and data extraction of two researchers. Any differences between the two searchers (CZ and LC) were resolved in consultation with the third author (JS).

Methodological quality of studies

Two researchers (CZ and LC) independently used The Assessment of Study Quality and Reporting in Exercise (TESTEX) scale to assess the quality and reporting of the include studies. The TESTEX scale is a specifically tool, designed specifically for use in exercise training studies (Smart et al., 2015). The TESTEX scale consists of 12 criterions, with 15 items (each of which is assigned 1 point), for a maximum score of 15 points. There are 5 criterions of the TESTEX scale for study quality: (1) eligibility criteria specified, (2) randomization specified, (3) allocation concealment of all patients at the time of randomization, (4) groups similar at baseline, (5) blinding of assessor (for at least one key outcome). There are 10 criterions of the TESTEX scale for study reporting: (6) outcome measures assessed in 85% of patients (study withdrawals reported, adverse events reported, session attendance reported), (7) intention-to-treat analysis, (8) reporting of between-group statistical comparisons (primary outcome reported, secondary outcome(s) reported), (9) point measures and measures of variability for all reported outcome measures, (10) activity monitoring in control groups, (11) relative exercise intensity remained constant, (12) exercise volume and energy expenditure. Higher scores on the TESTEX scale reflect better research quality and reporting (Smart et al., 2015). Any differences between the two searchers (CZ and LC) were resolved in consultation with the third author (JS).

Evaluation of the certainty of evidence

Two researchers (CZ and LC) independently used the GRADE framework to evaluate the certainty of evidence of this study. The GRADE framework consists of the following 4 categories: high level of certainty, moderate level of certainty, low level of certainty, very low level of certainty. The shortcomings that downgrade the certainty of evidence are as follows: limitations in study design, inconsistency, indirectness, imprecision, publication bias. In general, the presence of any of the above shortcomings can downgrade the certainty of evidence by one level, and the presence of all the above shortcoming can downgrade the certainty of evidence by up to three levels. The certainty of evidence is upgraded if one or more of the following factors are present: a large effect, potential bias that reduces the intervention effect, a dose-effect gradient (Schünemann et al., 2013). Any differences between the two searchers (CZ and LC) were resolved in consultation with the third author (JS).

Statistical analyses

RevMan 5.4 software was used for statistical analysis. In all meta-analyses included, this study used the standardized mean difference (SMD = M1M2/SDpooled) to analysis effect size, and the 95% CI to show the 95% confidence interval. Statistical significance of this study was set at p ≤ 0.05. The SMD were interpreted with threshold values as follow: 0.2, 0.5 and 0.8 were interpreted as small, medium and large effect sizes, respectively (Cohen, 2013; Oberste et al., 2020). I2 was used to test the heterogeneity of the included studies, in which 25, 50 and 75% of the I2 value were the judgment thresholds of low, medium and high heterogeneity, respectively (Higgins et al., 2003). The random effects model was used for all analyses in this study to reduce the bias stemming from the potential heterogeneity between studies (Carter et al., 2016). Based on subgroups analyses, we also examined the moderating potential of antidepressant variables (e.g., organization form, exercise frequency, exercise intensity, exercise type, exercise duration and single exercise session duration) in exercise interventions.

I2 and p-value was used to test the moderating effect (Oberste et al., 2020). Furthermore, if a study included more than one intervention sector, it was analyzed separately in the analysis.

Results

Selected studies

In this study, 1,795 studies were preliminarily retrieved from various electronic databases (1,335 in English databases, 444 in Chinese databases, and 16 obtained from other sources) through the designed retrieval strategy. A total of 117 studies were excluded because they were duplicated. Then, 1,326 unrelated studies were further excluded by reading the title and abstract of the article. After that, on the basis of obtaining, reading and evaluating the full papers, 343 trials were further excluded. In the end, nine studies were included in this systematic review and meta-analysis. Figure 1 shows the more information on the selection process.

FIGURE 1
www.frontiersin.org

Figure 1. Flow chart of the selection process.

Study characteristics

Table 1 presents the general characteristics information of the studies that were extracted by two reviewers (CZ and LC) using a data extraction form and were summarized.

TABLE 1
www.frontiersin.org

Table 1. Characteristics of trials included in the qualitative synthesis of this review.

Nine included studies, all RCTs, published between 1984 and 2018. Only two of the nine studies were reported in the Chinese language (Lu et al., 2017; Liu, 2018), and seven other studies were reported in the English language (Burrus, 1984; Kanner, 1990; Beffert, 1993; Jeong et al., 2005; Dabidy Roshan et al., 2011; Hughes et al., 2013; Carter et al., 2015).

A total of 433 adolescents with depression were included from 9 studies. The sample sizes included in the study ranged from 24 to 91. Only two of the nine studies recruited only female participants (Jeong et al., 2005; Dabidy Roshan et al., 2011), and seven other studies involved both male and females (Burrus, 1984; Kanner, 1990; Beffert, 1993; Hughes et al., 2013; Carter et al., 2015; Lu et al., 2017; Liu, 2018). In addition, the average age of the study participants ranged from 10 to 18 years old. In four of the nine studies, participants were derived from clinical patients who received psychotherapy or medication or control in addition to exercise (Kanner, 1990; Beffert, 1993; Hughes et al., 2013; Carter et al., 2015). In the remaining five studies, participants were in a school setting and received physical activity to treat their depression (Burrus, 1984; Jeong et al., 2005; Dabidy Roshan et al., 2011; Lu et al., 2017; Liu, 2018).

The composition of exercise interventions varies widely across studies. On the type of exercise intervention, six studies used aerobic exercise (Burrus, 1984; Kanner, 1990; Beffert, 1993; Jeong et al., 2005; Dabidy Roshan et al., 2011; Lu et al., 2017), and four studies used mixed exercise (Burrus, 1984; Hughes et al., 2013; Liu, 2018). Mixed exercise, the concept in this study, is defined as regular sessions of two or more types of exercise including aerobic, strengthening, or flexibility exercise (Bidonde et al., 2019).

In terms of organizational form, there were five studies on group training (Burrus, 1984; Jeong et al., 2005; Dabidy Roshan et al., 2011; Lu et al., 2017; Liu, 2018), and five studies on individual sports (Burrus, 1984; Kanner, 1990; Beffert, 1993; Hughes et al., 2013; Carter et al., 2015). The range of exercise length and frequency was included in nine studies were as follows: between 20 and 70 min per session; two to four sessions per week; from 6 to 18 weeks. In terms of exercise intensity, only one study involved high-intensity exercise (Liu, 2018), while the other eight studies were low-intensity or moderate-intensity.

Methodological quality of included studies

The results of assessment of the two researchers (CZ and LC) were in good agreement (Kappa = 0.87, 95% CI: 0.69 to 0.94, p < 0.01). According to the TESTEX criteria, the total TESTEX score, study quality score, and study reporting score of the included studies were 10.00 ± 1.91 (range: 9 to 14, median = 9), 2.62 ± 0.87 (range: 2 to 4, median = 2), 7.46 ± 1.13 (range: 6 to 10, median = 7), respectively. In terms of study quality, the most common concerns were the lack of blinding of assessor (100% of 13 RCTs), the lack of randomization specified (69%), and the lack of allocation concealment of all patients at the time of randomization (69%). In terms of study reporting, the most common concerns were the lack of activity monitoring in control groups (85%), the lack of intention-to-treat analysis (85%), and the lack of adverse events reported (69%). All the included studies for this study obtained a score ≥9 points, so no studies were excluded based on the quality of the study methodology (Thapa et al., 2021). Supplementary Table 3 shows the detail of the TESTEX scores for included studies in this study.

Results of primary meta-analysis

Figure 2 shows the heterogeneity test results of thirteen RCTs included in nine studies. The random effects model was used for to calculate the effect sizes in this study. Three of the nine included studies utilized Multiple arm test. When the study had one or more common intervention groups, in order to avoid the analysis unit error, we divided the common group into two or more sample groups and included two or more (reasonably independent) comparisons (Higgins and Green, 2011). After pooling effect size estimates, the overall combined effect size was SMD = −0.65, 95% CI: −1.03 to −0.27. The result was statistical significance (p < 0.01). This study Heterogeneity was substantial (T2 = 0.30, I2 = 67%, p < 0.01). The result indicate that exercise intervention has a therapeutic effect on adolescent depression, reaching a moderate-to-large effect size.

FIGURE 2
www.frontiersin.org

Figure 2. Forest plot of studies included in the primary meta-analysis.

Moderator analysis

This study Heterogeneity was substantial (T2 = 0.30, I2 = 67%, p < 0.01). The moderating effects were described by subgroup analysis of the exercise variables and methodological features of included studies. A summary of our moderator analysis is presented in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Moderator analysis of this review.

Variables of exercise intervention

Type of exercise

Subgroup analysis revealed that there were significant differences in the therapeutic effect of different exercise types on adolescent depression (χ2 = 2.31, p < 0.05, I2 = 76.1%). The data indicate that exercise type influences the relationship between exercise intervention and treatment for depression in adolescents. Mixed exercise had a large effect size (SMD = −1.14, 95% CI: −1.88 to −0.40, p < 0.01), and aerobic exercise had a medium effect size (SMD = −0.32, 95% CI: −0.59 to −0.05, p < 0.05).

Organizational form

Subgroup analysis showed that there were significant differences in the therapeutic effect of different tissue forms on adolescent depression (χ2 = 3.33, p < 0.05, I2 = 72.4%). The data suggest that organizational form influences the relationship between exercise intervention and treatment for adolescent depression. Group training had a large effect size (SMD = −1.06, 95% CI: −1.77 to −0.35, p < 0.01) on the treatment of adolescent depression, while individual exercise had a medium effect size (SMD = −0.32, 95% CI: −0.61 to −0.02, p < 0.05).

Intervention duration

Subgroup analysis revealed a small-to-moderate effect size when intervention duration was less than 8 weeks (SMD = −0.50, 95% CI: −0.90 to −0.04, p < 0.05). When the intervention lasted 8 to 12 weeks, a small-to-moderate effect size was achieved (SMD = −0.39, 95% CI: −0.73 to −0.04, p < 0.05). When the intervention lasted more than 12 weeks, the large effect size was achieved (SMD = −1.30, 95% CI: −2.42 to −0.18, p < 0.05). However, the difference between the effect sizes of subgroups did not reach statistical significance (χ2 = 2.34, p = 0.31, I2 = 14.7%).

Single session duration

Subgroup analysis revealed that there were significant differences in the therapeutic effect of different single session duration on adolescent depression (χ2 = 3.27, p < 0.05, I2 = 69.4%). The data suggest that the single session duration affects the relationship between exercise intervention and treatment for depression in adolescents. When single session duration was 20 to 60 min/time, a moderate-to-large effect size was achieved (SMD = −0.94, 95% CI: −1.55 to −0.33, p < 0.01). When the single session duration greater than or equal to 60 min/time, a small-to-moderate effect size was achieved (SMD = −0.32, 95% CI: −0.60 to −0.04, p < 0.05).

Intervention frequency

Subgroup analysis revealed that there were significant differences in the therapeutic effect of different intervention frequency on adolescent depression (χ2 = 4.64, p < 0.05, I2 = 78.5%). The data suggest that the intervention frequency affects the relationship between exercise intervention and treatment for depression in adolescents. When the intervention frequency was 1 to 2 times/week, a small-to-moderate effect size was achieved (SMD = −0.29, 95% CI: −0.58 to −0.03, p < 0.05). When the intervention frequency was 3 times/week or more, the effect size was large (SMD = −1.22, 95% CI: −2.20 to −0.42, p < 0.01).

Intervention intensity

Subgroup analysis revealed that there were significant differences in the therapeutic effects of different intervention intensities on adolescent depression (χ2 = 4.92, p < 0.05, I2 = 79.7%). The results showed that intervention intensity had an effect on the relationship between exercise intervention and treatment of adolescent depression. Low intensity exercise had a small-to-moderate effect size on the treatment of depression in adolescents (SMD = −0.27, 95% CI: −0.53 to −0.01, p < 0.05). Moderate to high intensity exercise achieved large effect size (SMD = −1.06, 95% CI: −1.71 to −0.41, p < 0.01).

Methodological features of included studies

We compared the antidepressant effects of exercise on adolescent depression in different contexts of participant. Subgroup analysis revealed that there were significant differences in the therapeutic effects of different contexts on adolescent depression (χ2 = 3.52, p < 0.05, I2 = 71.7%). The results showed that intervention intensity had an effect on the relationship between exercise intervention and treatment of adolescent depression. Exercise intervention has a moderate-to-large effect size on school students (SMD = −0.89, 95% CI: −1.45 to −0.33, p < 0.01). Exercise intervention has a small to moderate effect size on clinical patients (SMD = −0.27, 95% CI: −0.61 to −0.13, p < 0.01).

Analysis of the sustainability of the effects after exercise intervention termination

Table 3 shows follow-up data from the three included studies that reported the sustainability of effects after exercise treatment termination. We chose to describe the results of the three studies that reported the follow-up data due to too low statistical test power. Two of there studies reported specific data of sustained relief of depressive symptoms after the exercise intervention (Beffert, 1993; Carter et al., 2015). One study reported the remission rate of depressive symptoms after the exercise intervention (Hughes et al., 2013), Beffert (1993) reported that the antidepressant effects of exercise intervention still remained 5 months after the exercise intervention ended (SMD = −0.94, 95% CI: −1.78 to −0.11). In the study by Carter et al. (2015), at 6 months after the end of exercise intervention, the antidepressant effects of exercise intervention approached almost a moderate level (SMD = 0.39, 95% CI = −1.00 to 0.22). At post-intervention, Hughes et al. (2013) reported that the remission for all exercise group participant remained stable until 40 weeks after the end of exercise intervention.

TABLE 3
www.frontiersin.org

Table 3. Follow-up reports included in the reference.

Publication bias analysis

Figure 3 shows the publication bias risk test of the paper included in this study. The risk of publication bias can be tested by funnel plots (Rothstein et al., 2005). The results showed that the included studies were evenly distributed around the combined effect size SMD, and the left and right sides were basically symmetrical. There were two studies with some degree of deviation. It can be seen that there may be some publication bias in the 13 RCTs trials, but it is not very serious. Within the acceptable range, the stability of the results of this meta-analysis will not be seriously affected.

FIGURE 3
www.frontiersin.org

Figure 3. Results of publication bias analysis.

Certainty of evidence

We used the GRADE framework to evaluate the certainty of evidence of this study. Following the GRADE framework, owing to the included studies contained some methodological limitations, we rated the certainty of evidence the primary meta-analysis as moderate evidence. In terms of “study design,” we identified some limitations, and downgraded one level the certainty of evidence. In terms of “inconsistency,” “indirectness,” “imprecision” or “publication bias,” we did not downgrade the certainty of evidence. Supplementary Tables 4, 5 shows the more information of the GRADE rating.

Discussion

Effect of exercise on the treatment of adolescent depression

This study conducted a meta-analysis of thirteen RCTs trials in nine studies, which comprised a total of 433 adolescents. The results showed that the effect of exercise on the treatment of adolescent depression in comparison to control treatments reached moderate pooled effects, with a confidence interval that ranged from a medium to a large effect (SMD = −0.65, 95% CI: −1.03 to −0.27, p < 0.01). Our results are consistent with the results of some previous meta-analyses (Brynhildur et al., 2020; Oberste et al., 2020). Moreover, the finding of the antidepressant effect size in our study, is slightly higher than the effect size recommended by clinical guidelines for drug treatment of adolescent depression (SMD = −0.48) (Zhou et al., 2015). It is worth affirming that there were no reports of adverse events caused by exercise intervention in the included studies.

We found that compared with clinically confirmed patients (confirmed by structured clinical interview), exercise intervention had a greater therapeutic effect on school students (identified by the Self-Rating Scale). This result may be related to the bias in the screening process of some subjects and the inclusion of some false positive samples. As we all know, clinical interview is the gold standard for the diagnosis of adolescent depression (Haugen et al., 2016), while but the sensitivity of most self-rating scales for adolescent depression is less than 75% at present (Salle et al., 2012). The difference in sensitivity between the two diagnostic methods means that a higher percentage of false positive samples will be screened out by the self-rating Depression Scale compared to structured clinical interviews. Such misdiagnosis may influence trial results and thus interfere with researchers’ judgment of the anti-depressive effect of exercise intervention (Bailey et al., 2018). Therefore, it is suggested to set up structured clinical interviews for blind diagnosis by clinical experts in future studies to test whether the subjects are eligible for inclusion.

However, owing to the included studies contained some methodological limitations (according to the TESTEX criteria), we rated the certainty of evidence the primary meta-analysis as moderate evidence. Thus, we have a moderate degree of confidence in the estimate of the effect, and the true value is likely to be close to the estimate, but there are still different possibilities. More rigorous studies are still needed to verify the antidepressant effect size on adolescent depression.

Exercise intervention strategies for adolescent depression

We found that mixed exercise had a large effect size on the treatment of depression in adolescents, and its effect was significantly better than the moderate effect of aerobic exercise. Aerobic exercise is the most commonly used type of exercise clinically recommended for the treatment of depression (Morres et al., 2019), but mixed exercise has significant advantages over aerobic exercise alone (Hishikawa et al., 2019). Some studies have found that when the exercise intervention program is aerobic, anaerobic, resistance, competition and sports games and other mixed exercise, patients with depression symptoms are not only effectively treated, but also have multiple benefits such as physical function improvement, emotional regulation and improvement, and quality of life improvement (Ranjbar et al., 2015). Moreover, the compliance rate of subjects was over 80% (Korman et al., 2020). For adolescents with depression who prefer different forms of stimulation, mixed exercise can stimulate their enthusiasm for exercise participation and treatment compliance rate more than single exercise to some extent.

As for the organizational form, we found that group form exercise achieved a large effect size in the treatment of adolescent depression, and its treatment effect was significantly better than the medium effect size of individual form exercise. Previous studies have shown that compared with the boring individual form of exercise (e.g., running or walking), interpersonal interaction, social support and sports professional guidance in group form of exercise can help patients with depression to relieve depressive symptoms more quickly (Carter et al., 2016; Meyer et al., 2016). Loss of interest in social activities is one of the most important symptoms in depressed individuals (Sani et al., 2014). Group form of exercise can provide adolescents with depression the opportunity to express their thoughts, memories and emotions (Harris and Orth, 2020), promote communication with others, and promote later social integration (Dupuis et al., 2011).

As for the intervention duration, we found that exercise intervention had the best effect on adolescent depression when the intervention was more than 12 weeks, followed by less than 8 weeks, and finally 8 to 12 weeks. Although there was small statistical test power might explain the lack of statistical significance between the effects of the three subgroups, but the result suggested that the therapeutic effect of exercise on adolescent depression may fluctuate to some extent. Previous studies have found that the therapeutic effect of exercise intervention on depression will lag about 3–4 weeks in time (Michele and Giosuè, 2010), and significant improvement can be achieved only after lasting at least 9 weeks (Stanton and Reaburn, 2014). This may be related to such factors as depression patients’ doubt about treatment methods, delay in self-feeling improvement and resistance to receiving improvement effects (Mota-Pereira et al., 2011). Other studies have found that the effect of exercise antidepressant therapy will be flat, that is, with the increase of intervention duration, the effect value will decrease to a certain extent (Schuch et al., 2016). But more research is still needed to confirm this fluctuation phenomenon of exercise treatment effect on adolescent depression.

As for the single session duration, we found that the single session duration of 20 to 60 min/time was significantly better than a single duration of more than 60 min/time. Previous meta-analyses at different periods have also shown that different exercise duration (range: 20 to 60 min/time) has a significant positive effect on the treatment of depression (Martinsen, 2008; Stanton and Reaburn, 2014). Other studies suggest that the antidepressant effect of exercise needs to reach a certain time transition point, among which at least 30 min/time is the general view of exercise antidepressant (Meyer et al., 2016). This phenomenon may be related to the time-dependent response of human neurophysiological processes to exercise (Duclos and Tabarin, 2016). Maladjusted levels of norepinephrine, brain-derived neurotrophic factor (BDNF), and 5-hydroxytryptamine (5-HT) have been shown to be potentially underlying causes of depression (Carek et al., 2011; Xie et al., 2021). Studies have shown that exercise can affect the production of norepinephrine, brain-derived neurotrophic factor (BDNF) and serotonin (5-HT), with concentrations of these neurotransmitters varying at different points in time (Medina et al., 2015; Kandola et al., 2019). However, it is not clear which single exercise duration has the optimal effect on the relevant neurotransmitters.

As for the exercise frequencies, we found that more than 3 times/week is significantly better than 1 to 2 times/week in the treatment of adolescent depression. For the antidepressant effects of different exercise frequencies, previous studies have suggested that high frequency exercise (3 to 5 times/week) is more effective than low frequency exercise (1 time/week) (Legrand and Heuze, 2007). Some studies have suggested that exercise intervention prescription for depression can be limited to 4 to 5 times/week, and for large intensity exercise program, it can be one time/week or 2 to 3 times/week, but the maximum interval between two events should not exceed 3 days, and it is difficult to achieve the ideal effect after the interval exceeds 3 days (Medina et al., 2015).

As for exercise intensity, we found that moderate to vigorous intensity exercise had a large effect on the treatment of adolescent depression, and the treatment effect was significantly better than low intensity exercise. Short-term intermittent aerobic exercise that reaches 80% of maximum heart rate has been shown to effectively reduce depressive symptoms (Herring et al., 2017), and long-term aerobic exercise that reaches 70% to 80% of maximum heart rate has almost the same improvement effect on depression as antidepressants (Shimoda et al., 2017). Some studies have found that low-intensity, medium-intensity and high-intensity exercise both can improve depressive symptoms (Meyer et al., 2016), but in comparison, moderate to vigorous intensity exercise has better antidepressant effects than low intensity exercise (Silveira et al., 2013).

The sustainability of the effects after exercise intervention termination

We found a follow-up effect of the exercise intervention, which further improved the treatment of adolescent depression after the exercise was stopped. The follow-up report of Beffert (1993) showed that the therapeutic effect of exercise intervention on adolescent depression increased slightly 2 months after the end of exercise, with SMD = −0.85 (95% CI: −1.66 to −0.03) rising to SMD = −0.94 (95% CI: −1.78 to −0.11). The follow-up report of Carter et al. (2015) showed that the therapeutic effect of exercise intervention on adolescent depression increased from small effect size (SMD = −0.19, 95% CI: −0.69 to 0.30) to medium effect size (SMD = −0.39, 95% CI: −1.00 to 0.22). In the follow-up report of Hughes et al. (2013) showed that 86% of the test group no longer showed clinical symptoms of depression 14 weeks after the exercise intervention, and 40 weeks after the end of exercise therapy, the clinical symptoms of depression were effectively alleviated in almost all subjects in the experimental group. However, the duration and internal mechanism of the follow-up effect of exercise intervention on depression remain unclear. Some studies speculated that the continuation of the antidepressant effect of exercise intervention might be related to the change of subjects’ living habits (Hoffman et al., 2011; Helgadottir et al., 2017). Adolescent depression patients had a high compliance with exercise intervention, and the shedding rate of test group and control group was much lower than the data reported by previous psychotherapy (De-Haan et al., 2013) and related medication (Hetrick et al., 2012). To a certain extent, the exercise habits formed by the exercise intervention are beneficial to the maintenance of exercise habits after the exercise intervention, thus reducing their depression state. However, we need to treat this conclusion with caution for the sustainability of effects after exercise treatment termination. High-quality RCTs research, Significantly, is needed to confirm this conclusion.

Limitations of this meta-analysis

In this systematic review and meta-analysis, we included only articles published in English or Chinese. Therefore, studies in other languages and unpublished have not been included. There may be language bias and scattered bias to some extent. In addition, the strength of our conclusions is limited by the small number of included studies and lack of large-sample and high-quality RCT studies on exercise intervention in the treatment of adolescent depression.

General practice implications

Currently, exercise is considered by clinicians and the general public as an effective way to prevent or treat depression in adolescents, and this is supported by numerous studies (Carek et al., 2011; Medina et al., 2015; Xie et al., 2021). We suggest that the following points should be considered in the future research or clinical practice of exercise intervention in adolescent depression: First, when exercise is used as monotherapy, adjuvant therapy or combination therapy, the degree of depressive symptoms of participants should be considered. It is worth noting that future studies should consider establishing structured clinical interviews and expert blind diagnosis to reduce false positive samples. Secondly, the exercise plan should be personalized and interesting. In other words, the exercise plan should be negotiated by professionals according to the participants’ own factors (e.g., age, gender, athletic ability, economic ability, time, personal preference). Third, exercise programs should be conducted under the supervision or guidance of a physical therapist, personal trainer or other professional, with follow-up records and feedback.

Conclusion

This systematic review and meta-analysis systematically reviewed studies that look at exercise intervention with adolescent depression. Our review indicated that exercise intervention can effectively treat adolescent depression with a moderate effect size. Our results recommended that adolescents with depression undertake moderate to high intensity group mixed exercise for more than 12 weeks, 20 to 60 min/time, more than 3 times/week. Additionally, our study also shows that the antidepressant effects remained for a long time after the end of exercise interventions. However, following the GRADE framework, we rated the certainty of evidence the primary meta-analysis as moderate evidence due to some methodological limitations of included studies. Thus, we have a moderate degree of confidence in the estimate of the effect, and the true value is likely to be close to the estimate, but there are still different possibilities. Therefore, more rigorous studies are still needed to verify the antidepressant effect size on adolescent depression.

Data availability statement

The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

CZ and JS conceptualized and designed the idea of the study. CZ, JS, and LC designed the data collection instruments, collected the data, carried out the initial analyses. CZ and LC drafted the initial manuscript and reviewed and revised the manuscript. XC, YW, and SW reviewed and revised the manuscript. All authors have read and approved the final version of the manuscript and agreed with the order of presentation of the authors.

Funding

We acknowledge support by the Hunan Education Department Scientific Research Foundation of China (20A409).

Acknowledgments

The authors thank Yao Qin for proofreading this manuscript.

Conflict of interest

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.

Publisher’s note

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.974382/full#supplementary-material

References

American College of Sports Medicine (2017). ACSM’s guidelines for exercise testing and prescription. Philadelphia, PA: Wolters Kluwer.

Google Scholar

Asarnow, J. R., Emslie, G., Clarke, G., Wagner, K. D., Spirito, A., Vitiello, B., et al. (2009). Treatment of selective serotonin reuptake inhibitor-resistant depression in adolescents: Predictors and moderators of treatment response. J. Am. Acad. Child Adolesc. Psychiatry 48, 330–339. doi: 10.1097/CHI.0b013e3181977476

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailey, A. P., Hetrick, S. E., Rosenbaum, S., Purcell, R., and Parker, A. G. (2018). Treating depression with physical activity in adolescents and young adults: A systematic review and meta-analysis of randomised controlled trials. Psychol. Med. 48, 1068–1083. doi: 10.1017/S0033291717002653

PubMed Abstract | CrossRef Full Text | Google Scholar

Beffert, J. W. (1993). Aerobic exercise as treatment of depressive symptoms in early adolescents. Ph.D. thesis. Denver, CO: University of Northern Colorado.

Google Scholar

Bidonde, J., Busch, A. J., Schachter, C. L., Webber, S. C., Musselman, K. E., Overend, T. J., et al. (2019). Mixed exercise training for adults with fibromyalgia. Cochrane Database Syst. Rev. 5:CD013340. doi: 10.1002/14651858.cd013340

PubMed Abstract | CrossRef Full Text | Google Scholar

Bridge, J. A., Iyengar, S., Salary, C. B., Barbe, R. P., Birmaher, B., Pincus, H. A., et al. (2007). Clinical response and risk for reported suicidal ideation and suicide attempts in pediatric antidepressant treatment - A meta-analysis of randomized controlled trials. JAMA 297, 1683–1696. doi: 10.1001/jama.297.15.1683

PubMed Abstract | CrossRef Full Text | Google Scholar

Brynhildur, A., Biedilæ, S., Sagatun, Å, Nordheim, L. V., and Larun, L. (2020). Review: Exercise for depression in children and adolescents–a systematic review and meta-analysis. Child Adolesc. Ment. Health 26, 347–356. doi: 10.1111/camh.12438

PubMed Abstract | CrossRef Full Text | Google Scholar

Burrus, M. J. (1984). The effects of a running treatment program on depressed adolescents. Ph.D. thesis. Miami, FL: University of Miami.

Google Scholar

Carek, P. J., Laibstain, S. E., and Carek, S. M. (2011). Exercise for the treatment of depression and anxiety. Int. J. Psychiatry Med. 41, 15–28. doi: 10.2190/PM.41.1.c

PubMed Abstract | CrossRef Full Text | Google Scholar

Carter, T., Guo, B., Turner, D., Morres, I., Khalil, E., Brighton, E., et al. (2015). Preferred intensity exercise for adolescents receiving treatment for depression: A pragmatic randomised controlled trial. BMC Psychiatry 15:247. doi: 10.1186/s12888-015-0638-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Carter, T., Morres, I. D., Meade, O., and Callaghan, P. (2016). The effect of exercise on depressive symptoms in adolescents: A systematic review and meta-analysis. J. Am. Acad. Child Adolesc. Psychiatry 55, 580–590. doi: 10.1016/j.jaac.2016.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Centers for Disease Control and Prevention of American (2018). Children’s mental health, data and statisitics, centers for disease control and prevention. Available online at: https://www.cdc.gov/childrensmentalhealth/data.html (accessed April 23, 2021).

Google Scholar

Cipriani, A., Zhou, X. Y., Del Giovane, C., Hetrick, S. E., Qin, B., Whittington, C., et al. (2016). Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: A network meta-analysis. Lancet 388, 881–890. doi: 10.1016/s0140-6736(16)30385-3

CrossRef Full Text | Google Scholar

Clayborne, Z. M., Varin, M., and Colman, I. (2019). Systematic review and meta-analysis: Adolescent depression and long-term psychosocial outcomes. J. Am. Acad. Child Adolesc. Psychiatry 58, 72–79. doi: 10.1016/j.jaac.2018.07.896

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, J. (2013). Statistical power analysis for the behavioral sciences, 2nd Edn. Hoboken, NJ: Taylor and Francis.

Google Scholar

Costello, E. J., Erkanli, A., and Angold, A. (2006). Is there an epidemic of child or adolescent depression? J. Child Psychol. Psychiatry 47, 1263–1271. doi: 10.1111/j.1469-7610.2006.01682.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cox, G. R., Fisher, C. A., De Silva, S., Phelan, M., Akinwale, O. P., Simmons, M. B., et al. (2012). Interventions for preventing relapse and recurrence of a depressive disorder in children and adolescents. Cochrane Database Syst. Rev. 11:CD007504.

Google Scholar

Cuijpers, P., Geraedts, A. S., van Oppen, P., Andersson, G., Markowitz, J. C., and van Straten, A. (2011). Interpersonal psychotherapy for depression: A meta-analysis. Am. J. Psychiatry 168, 581–592. doi: 10.1176/appi.ajp.2010.10101411

PubMed Abstract | CrossRef Full Text | Google Scholar

Dabidy Roshan, V., Pourasghar, M., and Mohammadian, Z. (2011). The Efficacy of intermittent walking in water on the rate of MHPG sulfate and the severity of depression. Iran. J. Psychiatry Behav. Sci. 5, 26–31.

Google Scholar

De-Haan, A. M., Boon, A. E., de Jong, J., Hoeve, M., and Vermeiren, R. (2013). A meta-analytic review on treatment dropout in child and adolescent outpatient mental health care. Clin. Psychol. Rev. 33, 698–711. doi: 10.1016/j.cpr.2013.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Duclos, M., and Tabarin, A. (2016). “Exercise and the hypothalamo-pituitary-adrenal axis,” in Sports endocrinology, eds F. Lanfranco and C. J. Strasburger (Basel: Karger), 12–26.

Google Scholar

Dunn, A. L., Trivedi, M. H., Kampert, J. B., Clark, C. G., and Chambliss, H. O. (2005). Exercise treatment for depression efficacy and dose response. Am. J. Prev. Med. 28, 1–8. doi: 10.1016/j.amepre.2004.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Dupuis, S. L., Gillies, J., Carson, J., Whyte, C., Genoe, R., Loiselle, L., et al. (2011). Moving beyond patient and client approaches: Mobilizing “authentic partnerships” in dementia care, support and services. Dementia 11, 427–452. doi: 10.1177/1471301211421063

CrossRef Full Text | Google Scholar

Hammad, T. A., Laughren, T., and Racoosin, J. (2006). Suicidality in pediatric patients treated with antidepressant drugs. Arch. Gen. Psychiatry 63, 332–339. doi: 10.1001/archpsyc.63.3.332

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris, M. A., and Orth, U. (2020). The link between self-esteem and social relationships: A meta-analysis of longitudinal studies. J. Pers. Soc. Psychol. 119, 1459–1477. doi: 10.1037/pspp0000265

PubMed Abstract | CrossRef Full Text | Google Scholar

Haugen, W., Haavet, O. R., Sirpal, M. K., and Christensen, K. S. (2016). Identifying depression among adolescents using three key questions: A validation study in primary care. Br. J. Gen. Pract. 66, E65–E70. doi: 10.3399/bjgp16X683461

PubMed Abstract | CrossRef Full Text | Google Scholar

Helgadottir, B., Forsell, Y., Hallgren, M., Moller, J., and Ekblom, O. (2017). Long-term effects of exercise at different intensity levels on depression: A randomized controlled trial. Prev. Med. 105, 37–46. doi: 10.1016/j.ypmed.2017.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Herring, M. P., Fleming, K. M., Hayes, S. P., Motl, R. W., and Coote, S. B. (2017). Moderators of exercise effects on depressive symptoms in multiple sclerosis: A meta-regression. Am. J. Prev. Med. 53, 508–518. doi: 10.1016/j.amepre.2017.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hetrick, S. E., McKenzie, J. E., Cox, G. R., Simmons, M. B., and Merry, S. N. (2012). Newer generation antidepressants for depressive disorders in children and adolescents. Cochrane Database Syst. Rev. 11:CD004851. doi: 10.1002/14651858.CD004851.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

Higgins, J. P. T., and Green, S. (2011). Cochrane handbook for systematic reviews of interventions version 5.1.0. London: The Cochrane Collaboration

Google Scholar

Higgins, J. P. T., Thompson, S. G., Deeks, J. J., and Altman, D. G. (2003). Measuring inconsistency in meta-analyses. Br. Med. J. 327, 557–560. doi: 10.1136/bmj.327.7414.557

PubMed Abstract | CrossRef Full Text | Google Scholar

Hishikawa, N., Takahashi, Y., Fukui, Y., Tokuchi, R., Furusawa, J., Takemoto, M., et al. (2019). Yoga-plus exercise mix promotes cognitive, affective, and physical functions in elderly people. Neurol. Res. 41, 1001–1007. doi: 10.1080/01616412.2019.1672380

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoffman, B. M., Babyak, M. A., Craighead, W. E., Sherwood, A., Doraiswamy, P. M., Coons, M. J., et al. (2011). Exercise and pharmacotherapy in patients with major depression: One-year follow-up of the smile study. Psychosom. Med. 73, 127–133. doi: 10.1097/PSY.0b013e31820433a5

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, M. X., Turner, D., Generaal, E., Bos, D., Ikram, M. K., Ikram, M. A., et al. (2020). Exercise interventions for the prevention of depression: A systematic review of meta-analyses. BMC Public Health 20:11. doi: 10.1186/s12889-020-09323-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y. Q., Wang, Y., Wang, H., Liu, Z. R., Yu, X., Yan, J., et al. (2019). Prevalence of mental disorders in China: A cross-sectional epidemiological study. Lancet Psychiatry 6, 211–224. doi: 10.1016/s2215-0366(18)30511-x

CrossRef Full Text | Google Scholar

Hughes, C. W., Barnes, S., Barnes, C., Defina, L. F., Nakonezny, P., and Emslie, G. J. (2013). Depressed adolescents treated with exercise (DATE): A pilot randomized controlled trial to test feasibility and establish preliminary effect sizes. Ment. Health Phys. Act 6, 1–32. doi: 10.1016/j.mhpa.2013.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeong, Y. J., Hong, S. C., Myeong, S. L., Park, M. C., Kim, Y. K., and Suh, C. M. (2005). Dance movement therapy improves emotional responses and modulates neurohormones in adolescents with mild depression. Int. J. Neurosci. 115, 1711–1720. doi: 10.1080/00207450590958574

PubMed Abstract | CrossRef Full Text | Google Scholar

Kandola, A., Ashdown-Franks, G., Hendrikse, J., Sabiston, C. M., and Stubbs, B. (2019). Physical activity and depression: Towards understanding the antidepressant mechanisms of physical activity. Neurosci. Biobehav. Rev. 107, 525–539. doi: 10.1016/j.neubiorev.2019

CrossRef Full Text | Google Scholar

Kanner, K. D. (1990). High versus low-intensity exercise as part of an inpatient treatment program for childhood and adolescent depression. Available online at: http://search.ebscohost.com/login.aspx?direct=true&db=sph&AN=SPH292985&site=ehost-live (accessed April 26, 2021).

Google Scholar

Kessler, R. C., and Bromet, E. J. (2013). The epidemiology of depression across cultures. Annu. Rev. Public Health 34, 119–138. doi: 10.1146/annurev-publhealth-031912-114409

PubMed Abstract | CrossRef Full Text | Google Scholar

Klein, J. B., Jacobs, R. H., and Reinecke, M. A. (2007). Cognitive-behavioral therapy for adolescent depression: A meta-analytic investigation of changes in effect-size estimates. J. Am. Acad. Child Adolesc. Psychiatry 46, 1403–1413. doi: 10.1097/chi.0b013e3180592aaa

PubMed Abstract | CrossRef Full Text | Google Scholar

Korman, N., Armour, M., Chapman, J., Rosenbaum, S., Kisely, S., Suetani, S., et al. (2020). High Intensity Interval training (HIIT) for people with severe mental illness: A systematic review & meta-analysis of intervention studies- considering diverse approaches for mental and physical recovery. Psychiatry Res. 284:12. doi: 10.1016/j.psychres.2019.112601

PubMed Abstract | CrossRef Full Text | Google Scholar

Legrand, F., and Heuze, J. P. (2007). Antidepressant effects associated with different exercise conditions in participants with depression: A pilot study. J. Sport Exerc. Psychol. 29, 348–364. doi: 10.1123/jsep.29.3.348

PubMed Abstract | CrossRef Full Text | Google Scholar

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., et al. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. J. Clin. Epidemiol. 62, e1–e34. doi: 10.1016/j.jclinepi.2009.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J. (2018). Research of the effect of sports on children with left behind children with depression. Fujian Sport Sci. Technol. 37, 28–32. doi: 10.3390/nu14030524

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, F. L., Wang, X. L., and Zheng, Y. (2017). To evaluate the therapeutic effect of outdoor exercise on depressive symptoms. J. Int. Psychiatry 43, 300–303. doi: 10.13479/j.cnki.jip.2016.02.032

CrossRef Full Text | Google Scholar

Martinsen, E. W. (2008). Physical activity in the prevention and treatment of anxiety and depression. Nord. J. Psychiatry 62, 25–29. doi: 10.1080/08039480802315640

PubMed Abstract | CrossRef Full Text | Google Scholar

Medina, J. L., Jacquart, J., and Smits, J. A. (2015). Optimizing the exercise prescription for depression: The search for biomarkers of response. Curr. Opin. Psychol. 4, 43–47. doi: 10.1016/j.copsyc.2015.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyer, J. D., Koltyn, K. F., Stegner, A. J., Kim, J.-S., and Cook, D. B. (2016). Influence of exercise intensity for improving depressed mood in depression: A dose-response study. Behav. Ther. 47, 527–537. doi: 10.1016/j.beth.2016.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Michele, F., and Giosuè, P. (2010). Current nosology of treatment resistant depression: A controversy resistant to revision. Clin. Pract. Epidemiol. Ment. Health 6, 20–24. doi: 10.2174/1745017901006010020

PubMed Abstract | CrossRef Full Text | Google Scholar

Morres, I. D., Hatzigeorgiadis, A., Stathi, A., Comoutos, N., Arpin-Cribbie, C., Krommidas, C., et al. (2019). Aerobic exercise for adult patients with major depressive disorder in mental health services: A systematic review and meta-analysis. Depress Anxiety 36, 39–53. doi: 10.1002/da.22842

PubMed Abstract | CrossRef Full Text | Google Scholar

Mota-Pereira, J., Silverio, J., Carvalho, S., Ribeiro, J. C., Fonte, D., and Ramos, J. (2011). Moderate exercise improves depression parameters in treatment-resistant patients with major depressive disorder. J. Psychiatry Res. 45, 1005–1011. doi: 10.1016/j.jpsychires.2011.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Oberste, M., Grossheinrich, N., Wunram, H. L., Graf, J. L., Ziemendorff, A., Meinhardt, A., et al. (2018). Effects of a 6-week, whole-body vibration strength-training on depression symptoms, endocrinological and neurobiological parameters in adolescent inpatients experiencing a major depressive episode (the “Balancing Vibrations Study”): Study protocol for a randomized placebo-controlled trial. Trials 19:11. doi: 10.1186/s13063-018-2747-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Oberste, M., Medele, M., Javelle, F., Lioba Wunram, H., Walter, D., Bloch, W., et al. (2020). Physical activity for the treatment of adolescent depression: A systematic review and meta-analysis. Front. Physiol. 11:185. doi: 10.3389/fphys.2020.00185

PubMed Abstract | CrossRef Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 372:n71. doi: 10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinna, G. (2015). Fluoxetine: Pharmacology, mechanisms of action and potential side effects. Hauppauge, NY: Nova Science Publishers.

Google Scholar

Radovic, S., Gordon, M. S., and Melvin, G. A. (2017). Should we recommend exercise to adolescents with depressive symptoms? A meta-analysis. J. Paediatr. Child Health 53, 214–220. doi: 10.1111/jpc.13426

PubMed Abstract | CrossRef Full Text | Google Scholar

Ranjbar, E., Memari, A. H., Hafizi, S., Shayestehfar, M., Mirfazeli, F. S., and Eshghi, M. A. (2015). Depression and exercise: A clinical review and management guideline. Asian J. Sports Med. 6:e24055. doi: 10.5812/asjsm.6(2)2015.24055

CrossRef Full Text | Google Scholar

Rothstein, H. R., Sutton, A. J., and Borenstein, M. (2005). “Publication bias in meta-analysis,” in Publication bias in meta-analysis: Prevention, assessment and adjustments, eds H. R. Rothstein, A. J. Sutton, and M. Borenstein (Hoboken, NJ: Wiley), 1–7.

Google Scholar

Sagatun, A., Wentzel-Larsen, T., Heyerdahl, S., and Lien, L. (2016). Mental health in adolescence and subsequent receipt of medical benefits in young adulthood: The mediating role of upper secondary school completion. Scand. J. Public Health 44, 431–438. doi: 10.1177/1403494815622309

PubMed Abstract | CrossRef Full Text | Google Scholar

Salle, E., Rocha, N. S., Rocha, T. S., Nunes, C., and Chaves, M. L. F. (2012). Escalas psicométricas como instrumentos de rastreamento para depressão em estudantes do ensino médio. Arch. Clin. Psychiatry 39, 24–27. doi: 10.1590/s0101-60832012000100005

CrossRef Full Text | Google Scholar

Sani, G., Napoletano, F., Vöhringer, P. A., Sullivan, M., Simonetti, A., and Koukopoulos, A. (2014). Mixed depression: Clinical features and predictors of its onset associated with antidepressant use. Psychother. Psychosom. 83, 213–221. doi: 10.1159/000358808

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuch, F. B., Vancampfort, D., Richards, J., Rosenbaum, S., Ward, P. B., and Stubbs, B. (2016). Exercise as a treatment for depression: A meta-analysis adjusting for publication bias. J. Psychiatry Res. 77, 42–51. doi: 10.1016/j.jpsychires.2016.02.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Schünemann, H. J., Brozek, J., and Guyatt, G. (eds) (2013). Handbook for grading the quality of evidence and the strength of recommendations using the GRADE approach. Available online at: https://gdt.gradepro.org/app/handbook/handbook.html (accessed November 10, 2022).

Google Scholar

Shimoda, T., Matsuzawa, R., Hoshi, K., Yoneki, K., Harada, M., Watanabe, T., et al. (2017). Effects of supervised exercise on depressive symptoms in hemodialysis patients: A systematic review and meta-analysis of randomized controlled trials. Ren. Replace Ther. 3:56. doi: 10.1186/s41100-017-0136-5

CrossRef Full Text | Google Scholar

Silveira, H., Moraes, H., Oliveira, N., Coutinho, E. S. F., Laks, J., and Deslandes, A. (2013). Physical exercise and clinically depressed patients: A systematic review and meta-analysis. Neuropsychobiology 67, 61–68. doi: 10.1159/000345160

PubMed Abstract | CrossRef Full Text | Google Scholar

Smart, N. A., Waldron, M., Ismail, H., Giallauria, F., Vigorito, C., Cornelissen, V., et al. (2015). Validation of a new tool for the assessment of study quality and reporting in exercise training studies. Int. J. Evid. Based Health 13, 9–18. doi: 10.1097/xeb.0000000000000020

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanton, R., and Reaburn, P. (2014). Exercise and the treatment of depression: A review of the exercise program variables. J. Sci. Med. Sport 17, 177–182. doi: 10.1016/j.jsams.2013.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Thapa, R. K., Lum, D., Moran, J., and Ramirez-Campillo, R. (2021). Effects of complex training on sprint, jump, and change of direction ability of soccer players: A systematic review and meta-analysis. Front. Psychol. 11:627869. doi: 10.3389/fpsyg.2020.627869

PubMed Abstract | CrossRef Full Text | Google Scholar

Thapar, A., Collishaw, S., Pine, D. S., and Thapar, A. K. (2012). Depression in adolescence. Lancet 379, 1056–1067. doi: 10.1016/s0140-6736(11)60871-4

CrossRef Full Text | Google Scholar

Wegner, M., Amatriain-Fernández, S., Kaulitzky, A., Murillo-Rodriguez, E., Machado, S., and Budde, H. (2020). Systematic review of meta-analyses: Exercise effects on depression in children and adolescents. Front. Psychiatry 11:81. doi: 10.3389/fpsyt.2020.00081

PubMed Abstract | CrossRef Full Text | Google Scholar

Weisz, J. R., Kuppens, S., Ng, M. Y., Eckshtain, D., Ugueto, A. M., Vaughn-Coaxum, R., et al. (2017). What five decades of research tells us about the effects of youth psychological therapy: A multilevel meta-analysis and implications for science and practice. Am. Psychol. 72, 79–117. doi: 10.1037/a0040360

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization (2020). Depression and other common mental disorders: Global health estimates. Available online at: https://www.who.int/publications/i/item/depression-global-health-estimates (accessed April 26, 2021).

Google Scholar

Wunram, H. L., Hamacher, S., Hellmich, M., Volk, M., Janicke, F., Reinhard, F., et al. (2018). Whole body vibration added to treatment as usual is effective in adolescents with depression: A partly randomized, three-armed clinical trial in inpatients. Eur. Child Adolesc. Psychiatry 27, 645–662. doi: 10.1007/s00787-017-1071-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, Y., Wu, Z., Sun, L., Zhou, L., Wang, G., Xiao, L., et al. (2021). The effects and mechanisms of exercise on the treatment of depression. Front. Psychiatry 5:705559. doi: 10.3389/fpsyt.2021.705559

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, X. Y., Hetrick, S. E., Cuijpers, P., Qin, B., Barth, J., Whittington, C. J., et al. (2015). Comparative efficacy and acceptability of psychotherapies for depression in children and adolescents: A systematic review and network meta-analysis. World Psychiatry 14, 207–222. doi: 10.1002/wps.20217

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: adolescent, depression, exercise intervention, exercise strategies, meta-analysis

Citation: Zhang CS, Cheng L, Chen X, Wang Y, Wei S and Sun J (2023) The strategies of exercise intervention for adolescent depression: A meta-analysis of randomized controlled trials. Front. Psychol. 13:974382. doi: 10.3389/fpsyg.2022.974382

Received: 21 June 2022; Accepted: 25 November 2022;
Published: 04 January 2023.

Edited by:

Marianna Alesi, University of Palermo, Italy

Reviewed by:

Danilo Reis Coimbra, Juiz de Fora Federal University, Brazil
Nuno Pedro Couto, Polytechnic of Santarém (ESDRM-IPSantarém), Portugal

Copyright © 2023 Zhang, Cheng, Chen, Wang, Wei and Sun. 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: Jinxiu Sun, jinxiu_sun@126.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.