BACKGROUND:Previous studies have suggested a significant association between diet quality and mental health. However, a limited number of studies have utilized the Prime Diet Quality Score (PDQS) to examine this association. Additionally, no study has yet compared the PDQS and Healthy Eating Index-2015 (HEI-2015) in terms of their association with depression and anxiety. AIM:This cross-sectional study aimed to investigate the association between diet quality, measured by the PDQS and HEI-2015, and the odds of depression and anxiety in adults. METHODS:This study utilized data from the LIPOKAP study, which was conducted between February 2018 and July 2019 in five cities in Iran. We included 1994 adults aged 18 and above who were selected through a multistage cluster sampling method. Participants completed a validated semiquantitative food frequency questionnaire (FFQ) to evaluate their dietary intake. The FFQ was used to calculate the PDQS and HEI-2015. Depression and anxiety levels were determined using the Hospital Anxiety and Depression Scale (HADS). RESULTS:The participants had a mean age of 39.79 ± 13.87 years, with females accounting for 1,041 (52.2%) of the total population. PDQS showed a significant inverse association with the odds of depression (OR = 0.45, 95% CI: 0.28-0.71) and anxiety (OR = 0.40, 95% CI: 0.25-0.62) in the fully adjusted model. Similarly, the highest quartile of HEI-2015 showed a significantly lower odds of depression (OR = 0.60, 95% CI: 0.40-0.90) and anxiety (OR = 0.62, 95% CI: 0.42-0.92) compared to the lowest quartile. CONCLUSION:Both PDQS and HEI-2015 were associated with a reduced risk of depression and anxiety. However, the PDQS demonstrated a stronger inverse association with these risks compared to the HEI-2015. This suggests that the PDQS could be a more beneficial dietary pattern for preventing depression and anxiety compared to HEI-2015. Further large-scale studies are required to confirm these findings.

Physical activity may play an important role in the management of mild-to-moderate mental health diseases, especially depression and anxiety. Although people with depression tend to be less physically active than non-depressed individuals, increased aerobic exercise or strength training has been shown to reduce depressive symptoms significantly. However, habitual physical activity has not been shown to prevent the onset of depression. Anxiety symptoms and panic disorder also improve with regular exercise, and beneficial effects appear to equal meditation or relaxation. In general, acute anxiety responds better to exercise than chronic anxiety. Studies of older adults and adolescents with depression or anxiety have been limited, but physical activity appears beneficial to these populations as well. Excessive physical activity may lead to overtraining and generate psychological symptoms that mimic depression. Several differing psychological and physiological mechanisms have been proposed to explain the effect of physical activity on mental health disorders. Well controlled studies are needed to clarify the mental health benefits of exercise among various populations and to address directly processes underlying the benefits of exercise on mental health.

CONTEXT:Research regarding the protective effects of early physical activity on depression has yielded conflicting results. OBJECTIVE:Our objective was to synthesize observational studies examining the association of physical activity in childhood and adolescence with depression. DATA SOURCES:Studies (from 2005 to 2015) were identified by using a comprehensive search strategy. STUDY SELECTION:The included studies measured physical activity in childhood or adolescence and examined its association with depression. DATA EXTRACTION:Data were extracted by 2 independent coders. Estimates were examined by using random-effects meta-analysis. RESULTS:Fifty independent samples (89 894 participants) were included, and the mean effect size was significant ( = -0.14; 95% confidence interval [CI] = -0.19 to -0.10). Moderator analyses revealed stronger effect sizes in studies with cross-sectional versus longitudinal designs ( = 36, = -0.17; 95% CI = -0.23 to -0.10 vs = 14, = -0.07; 95% CI = -0.10 to -0.04); using depression self-report versus interview ( = 46, = -0.15; 95% CI = -0.20 to -0.10 vs = 4, = -0.05; 95% CI = -0.09 to -0.01); using validated versus nonvalidated physical activity measures ( = 29, = -0.18; 95% CI = -0.26 to -0.09 vs = 21, = -0.08; 95% CI = -0.11 to -0.05); and using measures of frequency and intensity of physical activity versus intensity alone ( = 27, = -0.17; 95% CI = -0.25 to -0.09 vs = 7, = -0.05; 95% CI = -0.09 to -0.01). LIMITATIONS:Limitations included a lack of standardized measures of physical activity; use of self-report of depression in majority of studies; and a small number of longitudinal studies. CONCLUSIONS:Physical activity is associated with decreased concurrent depressive symptoms; the association with future depressive symptoms is weak.

BACKGROUND:The objective of this systematic review was to examine the treatment effects of exercise on children and adolescents with depression compared to either other nonexercise treatments or no treatment. A study protocol was registered in PROSPERO (CRD42018101982). METHOD:Cochrane Central Register of Controlled Trials (CENTRAL), Medline (Ovid), Embase (Ovid), PsycINFO (Ovid), AMED (Ovid), SPORTDiscus, PEDro, CINAHL (EBSCO), ERIC (EBSCO), Web of Science, and databases for grey literature and dissertations were searched from their inception through 30 August 2020 for randomized controlled trials. Varieties of search terms for depression, children and adolescents, exercise, and study design were applied. No limits were placed on publication year, language or publication type. Registers for ongoing trials were also searched. Two authors independently screened references, extracted data and assessed risk of bias in the included trials. The effect sizes for depression postintervention were pooled in a meta-analysis, and the certainty of the evidence was assessed using GRADE (Grading of Recommendations Assessments, Development, and Evaluation). RESULTS:13,307 references were screened. Four trials were included (n = 159). Participants were between 12 and 18 years old, and predominantly female. A meta-analysis with a random-effects model was performed, and a moderate effect in favour of exercise on postintervention depression severity was identified (SMD = -0.59, 95% CI = -1.08 to -0.10, p = .02). However, the overall certainty of the evidence for this outcome was low. One trial found a nonsignificant decrease in depression severity at six-month follow-up (n = 42, SMD = -0.59, 95% CI = -1.22 to 0.04, p = 0.07), and the overall certainty of the evidence for this outcome was very low. One trial found no statistically significant differences between the exercise and control groups on quality of life. Other outcomes, including adverse events, psychological well-being and social functioning, were not evaluated. CONCLUSION:Low certainty evidence suggests that exercise interventions may be associated with a decrease in adolescent depression severity. However, our confidence in the effect estimate is limited, and the true effect may be substantially different. Thus, large, high-quality trials including follow-up periods are needed.

We aimed to establish the treatment effect of physical activity for depression in young people through meta-analysis. Four databases were searched to September 2016 for randomised controlled trials of physical activity interventions for adolescents and young adults, 12-25 years, experiencing a diagnosis or threshold symptoms of depression. Random-effects meta-analysis was used to estimate the standardised mean difference (SMD) between physical activity and control conditions. Subgroup analysis and meta-regression investigated potential treatment effect modifiers. Acceptability was estimated using dropout. Trials were assessed against risk of bias domains and overall quality of evidence was assessed using GRADE criteria. Seventeen trials were eligible and 16 provided data from 771 participants showing a large effect of physical activity on depression symptoms compared to controls (SMD = -0.82, 95% CI = -1.02 to -0.61, p < 0.05, I2 = 38%). The effect remained robust in trials with clinical samples (k = 5, SMD = -0.72, 95% CI = -1.15 to -0.30), and in trials using attention/activity placebo controls (k = 7, SMD = -0.82, 95% CI = -1.05 to -0.59). Dropout was 11% across physical activity arms and equivalent in controls (k = 12, RD = -0.01, 95% CI = -0.04 to 0.03, p = 0.70). However, the quality of RCT-level evidence contributing to the primary analysis was downgraded two levels to LOW (trial-level risk of bias, suspected publication bias), suggesting uncertainty in the size of effect and caution in its interpretation. While physical activity appears to be a promising and acceptable intervention for adolescents and young adults experiencing depression, robust clinical effectiveness trials that minimise risk of bias are required to increase confidence in the current finding. The specific intervention characteristics required to improve depression remain unclear, however best candidates given current evidence may include, but are not limited to, supervised, aerobic-based activity of moderate-to-vigorous intensity, engaged in multiple times per week over eight or more weeks. Further research is needed. (Registration: PROSPERO-CRD 42015024388).

OBJECTIVE:This study aims to identify the optimal amount and appropriate state of physical activity for reducing incident depressive symptoms. METHOD:The data of 107,901 Korean adults who had undergone at least two annual health examinations from 2012 to 2015 were analyzed. At baseline, the amount of physical activity was measured using the International Physical Activity Questionnaire-Short Form and metabolic equivalents (METs)-min/wk., which is the amount of oxygen consumed while sitting at rest per week. In addition, one-year changes in physical activity were categorized into four groups: persistent sedentary, maintenance, relapse, and adoption groups. For the study's endpoint, new-onset depressive symptoms (score of ≥21) were considered, defined by the Center for Epidemiologic Studies Rating Scale for Depression. A Cox proportional hazards model was used to identify the optimal amount and appropriate state of physical activity for reducing incident depressive symptoms. RESULTS:Compared with sedentary status (<600 METs-min/wk), achieving 1200-3000 METs-min/wk. was associated with a lower risk of incident depressive symptoms, illustrating a U-shaped relationship. The results show that the amount of physical activity for reducing the onset of depressive symptoms was higher for men (1800-3000 METs-min/wk.: HR, 0.84 [95% CI, 0.74-0.95]) than women (1200-1800 METs-min/wk.: HR, 0.84 [95% CI, 0.71-0.99]). In terms of one-year changes in physical activity, compared to the persistent sedentary group, the maintenance group was associated with a lower risk of the development of depressive symptoms in both sexes (men: HR, 0.81 [95% CI, 0.71-0.93]; women: HR, 0.84 [95% CI, 0.75-0.94]). Women in the adoption group showed a positive effect in terms of a decrease in incident depressive symptoms (HR, 0.87 [95% CI, 0.76-0.99]). CONCLUSIONS:This study suggests an optimal amount of physical activity for reducing the onset of depressive symptoms. In addition, maintaining an appropriate level of physical activity for one year proved beneficial for decreasing incident depressive symptoms.

In this cross-sectional study, physical activity, sport participation and associations with well-being, anxiety and depressive symptoms were examined in a large representative sample of European adolescents. A school-based survey was completed by 11,110 adolescents from ten European countries who took part in the SEYLE (Saving and Empowering Young Lives in Europe) study. The questionnaire included items assessing physical activity, sport participation and validated instruments assessing well-being (WHO-5), depressive symptoms (BDI-II) and anxiety (SAS). Multi-level mixed effects linear regression was used to examine associations between physical activity/sport participation and mental health measures. A minority of the sample (17.9 % of boys and 10.7 % of girls; p < 0.0005) reported sufficient activity based on WHO guidelines (60 min + daily). The mean number of days of at least 60 min of moderate-to-vigorous activity in the past 2 weeks was 7.5 ± 4.4 among boys and 5.9 days ± 4.3 among girls. Frequency of activity was positively correlated with well-being and negatively correlated with both anxiety and depressive symptoms, up to a threshold of moderate frequency of activity. In a multi-level mixed effects model more frequent physical activity and participation in sport were both found to independently contribute to greater well-being and lower levels of anxiety and depressive symptoms in both sexes. Increasing activity levels and sports participation among the least active young people should be a target of community and school-based interventions to promote well-being. There does not appear to be an additional benefit to mental health associated with meeting the WHO-recommended levels of activity.

OBJECTIVES:To evaluate the effect of different exercise interventions on depressive symptoms in children and adolescents. METHODS:Randomized controlled trials (RCT) published until May 2023 were screened in four databases. The Cochrane collaboration tool was used to assess the risk of bias for quality evaluation. Stata 16.0 software was used for both a pairwise meta-analysis and a series of frequentist network meta-analyses (NMA). RESULTS:A total of 35 RCTs and 5393 participants were included. Aerobic exercise had the most significant effect on depressive symptoms (66.2%), followed by group training (62.5%), resistance exercise (59.0%), and aerobic combined with resistance exercise (57.9%). Furthermore, children and adolescents younger than 15 years showed significant improvement in depressive symptoms (SMD=-0.41, 95% CI (-0.63, -0.19), P < 0.01). The study also found a significant improvement in depression among healthy, obesity, and depressed populations (SMD=-0.25, 95% CI (-0.41, -0.08), P < 0.01); SMD=-0.15, 95% CI (-0.31, -0.00), P < 0.01; SMD=-0.75, 95% CI (-1.32, -0.19), P < 0.01). Additionally, 30 min of exercise had a significant effect (SMD=-0.14, 95% CI (-0,81, -0.01), P < 0.01), and 40-50 min of exercise had the best effect (SMD=-0.17, 95% CI (-0,33, -0.02), P < 0.01). Lastly, exercise frequency of three times per week was significant in children and adolescents (SMD=-0.42, 95% CI (-0,66, -0.18), P < 0.01). CONCLUSION:Exercise significantly improves depressive symptoms in children and adolescents, with aerobic exercise having the most significant effect. A 12-week, three-times-a-week, 40-50-minute exercise intervention was found to be more effective in younger children and adolescents.

Importance:Depression is the second most prevalent mental disorder among children and adolescents, yet only a small proportion seek or receive disorder-specific treatment. Physical activity interventions hold promise as an alternative or adjunctive approach to clinical treatment for depression. Objective:To determine the association of physical activity interventions with depressive symptoms in children and adolescents. Data Sources:PubMed, CINAHL, PsycINFO, EMBASE, and SPORTDiscus were searched from inception to February 2022 for relevant studies written in English, Chinese, or Italian. Study Selection:Two independent researchers selected studies that assessed the effects of physical activity interventions on depressive symptoms in children and adolescents compared with a control condition. Data Extraction and Synthesis:A random-effects meta-analysis using Hedges g was performed. Heterogeneity, risk of bias, and publication bias were assessed independently by multiple reviewers. Meta-regressions and sensitivity analyses were conducted to substantiate the overall results. The study followed the PRISMA reporting guideline. Main Outcomes and Measures:The main outcome was depressive symptoms as measured by validated depression scales at postintervention and follow-up. Results:Twenty-one studies involving 2441 participants (1148 [47.0%] boys; 1293 [53.0%] girls; mean [SD] age, 14 [3] years) were included. Meta-analysis of the postintervention differences revealed that physical activity interventions were associated with a reduction in depressive symptoms compared with the control condition (g = -0.29; 95% CI, -0.47 to -0.10; P = .004). Analysis of the follow-up outcomes in 4 studies revealed no differences between the physical activity and control groups (g = -0.39; 95% CI, -1.01 to 0.24; P = .14). Moderate study heterogeneity was detected (Q = 53.92; df = 20; P < .001; I2 = 62.9% [95% CI, 40.7%-76.8%]). The primary moderator analysis accounting for total physical activity volume, study design, participant health status, and allocation and/or assessment concealment did not moderate the main treatment effect. Secondary analyses demonstrated that intervention (ie, <12 weeks in duration, 3 times per week, unsupervised) and participant characteristics (ie, aged ≥13 years, with a mental illness and/or depression diagnosis) may influence the overall treatment effect. Conclusions and Relevance:Physical activity interventions may be used to reduce depressive symptoms in children and adolescents. Greater reductions in depressive symptoms were derived from participants older than 13 years and with a mental illness and/or depression diagnosis. The association with physical activity parameters such as frequency, duration, and supervision of the sessions remains unclear and needs further investigation.

This trial quantified the effects of ecologically-valid resistance exercise training (RET) on anxiety and worry symptoms among young adults. Young adults not meeting criteria for subclinical, or analogue Generalized Anxiety Disorder (AGAD) were randomized to an eight-week RET intervention, or eight-week wait-list. AGAD status was determined using validated cut-scores for both the Psychiatric Diagnostic Screening Questionnaire-Generalized Anxiety Disorder subscale (≥ 6) and Penn State Worry Questionnaire (≥ 45). The primary outcome was anxiety symptoms measured with the Trait Anxiety subscale of the State-Trait Anxiety Inventory. The RET was designed according to World Health Organization and American College of Sports Medicine guidelines. RM-ANCOVA examined differences between RET and wait-list over time. Significant interactions were decomposed with simple effects analysis. Hedges' d effect sizes quantified magnitude of differences in change between RET and wait-list. Twenty-eight participants (64% female) fully engaged in the trial (mean age: 26.0 ± 6.2y, RET: n = 14; Wait-list: n = 14). A significant group X time interaction was found for anxiety symptoms (F = 3.60, p ≤ 0.019; d = 0.85, 95%CI: 0.06 to 1.63). RET significantly reduced anxiety symptoms from baseline to post-intervention (mean difference =  - 7.89, p ≤ 0.001). No significant interaction was found for worry (F = 0.79, p ≥ 0.50; d =  - 0.22, 95%CI: - 0.96 to 0.53). Ecologically-valid RET significantly improves anxiety symptoms among young adults.Trial Registration: Clinicaltrials.gov Identifier: NCT04116944, 07/10/2019.

BACKGROUND:For optimal health benefits, the Canadian 24-Hour Movement Guidelines for Children and Youth (aged 5-17 years) recommend an achievement of high levels of physical activity (≥60 min of moderate-to-vigorous physical activity), low levels of sedentary behaviour (≤2 h of recreational screen time), and sufficient sleep (9-11 h for children or 8-10 h for adolescents) each day. The objective of this systematic review was to examine how combinations of physical activity, sedentary time, and sleep duration relate to depressive symptoms and other mental health indicators among children and adolescents. METHODS:Literature was obtained through searching Medline, EMBASE, PsycINFO, and SportDiscus up to September 30, 2019. Peer-reviewed studies published in English or French were included if they met the following criteria: population (apparently healthy children and adolescents with a mean age of 5-17 years), intervention/exposure (combinations of physical activity, sedentary time, and sleep duration), and outcomes (depressive symptoms and other mental health indicators). A risk of bias assessment was completed for all included studies using the methods described in the Cochrane Handbook. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was used to assess the quality of evidence for each health indicator. Narrative syntheses were employed to describe the results due to high levels of heterogeneity across studies. RESULTS:A total of 13 cross-sectional studies comprised in 10 papers met inclusion criteria. Data across studies involved 115,540 children and adolescents from 12 countries. Overall, the findings indicated favourable associations between meeting all 3 recommendations and better mental health indicators among children and adolescents when compared with meeting none of the recommendations. There was evidence of a dose-response gradient between an increasing number of recommendations met and better mental health indicators. Meeting the screen time and sleep duration recommendations appeared to be associated with more mental health benefits than meeting the physical activity recommendation. The quality of evidence reviewed was "very low" according to GRADE. CONCLUSIONS:The findings indicate favourable associations between meeting all 3 movement behaviour recommendations in the 24-h guidelines and better mental health indicators among children and adolescents. There is a clear need for high-quality studies that use robust measures of all movement behaviours and validated measures of mental health to increase our understanding in this topic area.

BACKGROUND:Evidence suggests that participation in physical activity may support young people's current and future mental health. Although previous reviews have examined the relationship between physical activity and a range of mental health outcomes in children and adolescents, due to the large increase in published studies there is a need for an update and quantitative synthesis of effects. OBJECTIVES:The objectives of this study were to determine the effect of physical activity interventions on mental health outcomes by conducting a systematic review and meta-analysis, and to systematically synthesize the observational evidence (both longitudinal and cross-sectional studies) regarding the associations between physical activity and sedentary behavior and mental health in preschoolers (2-5 years of age), children (6-11 years of age) and adolescents (12-18 years of age). METHODS:A systematic search of the PubMed and Web of Science electronic databases was performed from January 2013 to April 2018, by two independent researchers. Meta-analyses were performed to examine the effect of physical activity on mental health outcomes in randomized controlled trials (RCTs) and non-RCTs (i.e. quasi-experimental studies). A narrative synthesis of observational studies was conducted. Studies were included if they included physical activity or sedentary behavior data and at least one psychological ill-being (i.e. depression, anxiety, stress or negative affect) or psychological well-being (i.e. self-esteem, self-concept, self-efficacy, self-image, positive affect, optimism, happiness and satisfaction with life) outcome in preschoolers, children or adolescents. RESULTS:A total of 114 original articles met all the eligibility criteria and were included in the review (4 RCTs, 14 non-RCTs, 28 prospective longitudinal studies and 68 cross-sectional studies). Of the 18 intervention studies, 12 (3 RCTs and 9 non-RCTs) were included in the meta-analysis. There was a small but significant overall effect of physical activity on mental health in children and adolescents aged 6-18 years (effect size 0.173, 95% confidence interval 0.106-0.239, p < 0.001, percentage of total variability attributed to between-study heterogeneity [I] = 11.3%). When the analyses were performed separately for children and adolescents, the results were significant for adolescents but not for children. Longitudinal and cross-sectional studies demonstrated significant associations between physical activity and lower levels of psychological ill-being (i.e. depression, stress, negative affect, and total psychological distress) and greater psychological well-being (i.e. self-image, satisfaction with life and happiness, and psychological well-being). Furthermore, significant associations were found between greater amounts of sedentary behavior and both increased psychological ill-being (i.e. depression) and lower psychological well-being (i.e. satisfaction with life and happiness) in children and adolescents. Evidence on preschoolers was nearly non-existent. CONCLUSIONS:Findings from the meta-analysis suggest that physical activity interventions can improve adolescents' mental health, but additional studies are needed to confirm the effects of physical activity on children's mental health. Findings from observational studies suggest that promoting physical activity and decreasing sedentary behavior might protect mental health in children and adolescents. PROSPERO Registration Number: CRD42017060373.

BACKGROUND:Physical exercise therapy is of proven efficacy in the treatment of adults with depression, but corresponding evidence is lacking in depressed adolescent inpatients. The aim of this study was to document the effect of add-on treatment with structured physical exercise in a clinical population of adolescents hospitalized for depression and anxiety in a psychiatric hospital. METHODS:A group of 52 adolescent inpatients was randomly assigned to a physical exercise or control program three to four times per week over a six-week period (20 hours in total). The primary outcome was the Hospital Anxiety Depression Scale (HADS) for evaluation of depression and anxiety symptoms. Secondary outcomes were psychological self-assessments, diagnostic interviews, and physical examinations. RESULTS:Six participants were lost in each group, leaving 20 inpatients each in the intervention and control groups. A linear mixed model with F-test revealed a significant interaction in favor of physical exercise in reducing the mean depression score (HADS-D) by 3.8 points [95% (CI), range 1.8 to 5.7], compared to a mean reduction score of 0.7 [95% (CI), range -0,7 to 2.0] in the control group. No significant interaction was found for anxiety symptoms (HADS-A). LIMITATIONS:The investigation was limited to the six-week hospital window and the small sample size prevented exploring differences in social characteristics. CONCLUSION:Structured physical exercise add-on therapy integrated into the psychiatric hospitalization of adolescents has led to a reduction in their depressive symptoms, demonstrating its effectiveness in the care of adolescent inpatients with depression.

Depression is a common mental disorder characterized by high incidence, high disability, and high fatality, causing great burden to the society, families, and individuals. The changes in brain plasticity may be a main reason for depression. Recent studies have shown that exercise plays a positive role in depression, but systematic and comprehensive studies are lacking on brain plasticity changes in depression. To further understand the antidepressive effect of exercise and the changes in brain plasticity, we retrieved related literatures using key words "depression," "depressive disorder," "exercise," "brain plasticity," "brain structure," and "brain function" from the database of Web of Science, PubMed, EBSCO host, and CNKI, hoping to provide evidence for exercise in preventing and treating depression. Increase in exercise has been found negatively correlated with the risk of depression. Randomized controlled experiments have shown that aerobic exercise, resistance exercise, and mind-body exercise can improve depressive symptoms and levels. The intensity and long-term effect of exercise are now topical research issues. Exercise has been proven to reshape the brain structure of depression patients, activate the function of related brain areas, promote behavioral adaptation changes, and maintain the integrity of hippocampal and white matter volume, thus improving the brain neuroprocessing and delaying cognitive degradation in depression patients. Future studies are urgently needed to establish accurate exercise prescriptions for improving depressive symptoms, and studies on different depressive populations and studies using multimodal brain imaging combined with multiple analytical methods are also needed.

Importance:Depression is the leading cause of mental health-related disease burden and may be reduced by physical activity, but the dose-response relationship between activity and depression is uncertain. Objective:To systematically review and meta-analyze the dose-response association between physical activity and incident depression from published prospective studies of adults. Data Sources:PubMed, SCOPUS, Web of Science, PsycINFO, and the reference lists of systematic reviews retrieved by a systematic search up to December 11, 2020, with no language limits. The date of the search was November 12, 2020. Study Selection:We included prospective cohort studies reporting physical activity at 3 or more exposure levels and risk estimates for depression with 3000 or more adults and 3 years or longer of follow-up. Data Extraction and Synthesis:Data extraction was completed independently by 2 extractors and cross-checked for errors. A 2-stage random-effects dose-response meta-analysis was used to synthesize data. Study-specific associations were estimated using generalized least-squares regression and the pooled association was estimated by combining the study-specific coefficients using restricted maximum likelihood. Main Outcomes and Measures:The outcome of interest was depression, including (1) presence of major depressive disorder indicated by self-report of physician diagnosis, registry data, or diagnostic interviews and (2) elevated depressive symptoms established using validated cutoffs for a depressive screening instrument. Results:Fifteen studies comprising 191 130 participants and 2 110 588 person-years were included. An inverse curvilinear dose-response association between physical activity and depression was observed, with steeper association gradients at lower activity volumes; heterogeneity was large and significant (I2 = 74%; P < .001). Relative to adults not reporting any activity, those accumulating half the recommended volume of physical activity (4.4 marginal metabolic equivalent task hours per week [mMET-h/wk]) had 18% (95% CI, 13%-23%) lower risk of depression. Adults accumulating the recommended volume of 8.8 mMET hours per week had 25% (95% CI, 18%-32%) lower risk with diminishing potential benefits and higher uncertainty observed beyond that exposure level. There were diminishing additional potential benefits and greater uncertainty at higher volumes of physical activity. Based on an estimate of exposure prevalences among included cohorts, if less active adults had achieved the current physical activity recommendations, 11.5% (95% CI, 7.7%-15.4%) of depression cases could have been prevented. Conclusions and Relevance:This systematic review and meta-analysis of associations between physical activity and depression suggests significant mental health benefits from being physically active, even at levels below the public health recommendations. Health practitioners should therefore encourage any increase in physical activity to improve mental health.

OBJECTIVE:Non-suicidal self-injury (NSSI) behaviors are prevalent in adolescents and have adverse effects on physical and mental health. However, little is known about the relationship between NSSI and alexithymia, or the underlying mechanisms that could explain this relationship. This study aimed to elucidate the current status of NSSI in adolescent depression, and analyze the relationship between alexithymia, loneliness, resilience, and adolescent depression with NSSI, so as to provide a theoretical basis for psychotherapeutic interventions. METHOD:The study sample involved inpatients and outpatients from 12 hospitals across China and adolescents with depression who met the DSM-5 diagnostic criteria for depression episode. The following scales were used: The Functional Assessment of Self-Mutilation, Toronto Alexithymia Scale, UCLA Loneliness Scale, and Connor Davidson Resilience Scale. RESULTS:The detection rate of NSSI in adolescents with depression from 2021.01.01-2022.01.01 was 76.06% (1782/2343). Spearman's correlation analysis revealed a significant correlation between alexithymia, loneliness, resilience and NSSI in depressed adolescents, and the results of the non-parametric test showed that the differences between the two groups for each factor were statistically significant. Binary logistic regression results showed that alexithymia (B = 0.023, p = 0.003, OR = 1.023, 95% CI: 1.008-1.038) and depression (B = 0.045, p < 0.001, OR = 1.046, 95% CI: 1.026-1.066) are risk factors for NSSI, resilience (B = - 0.052, p < 0.001, OR = 0.949, 95% CI: 0.935 - 0.964) is a protective factor for NSSI. Alexithymia directly predicted NSSI and also indirectly influenced NSSI through the mediated effect of resilience. Loneliness moderates the first half of the path of this mediated model. CONCLUSION:The present study confirms a moderated mediation effect: Alexithymia can have an impact on NSSI behaviors in depressed adolescents through the mediating role of resilience. Loneliness, as a moderating variable, moderated the first half of the pathway of the mediating model. We discuss perspectives for future research and interventions based on the findings of the study.

Background:Childhood maltreatment has been identified as a risk factor for depressive symptoms. Social anxiety is closely associated with depression. Physical activity has been regarded as an underlying protective factor. Little is known about the complex relations among these factors in Chinese middle school students. This study aimed to explore whether social anxiety mediated the association between childhood maltreatment and depressive symptoms and investigate whether physical activity moderated the indirect or direct effect of the mediation model. Methods:A total of 1,570 middle school students were recruited and measured for childhood maltreatment (measured by Childhood Trauma Questionnaire-Short Form Chinese version), social anxiety (as the mediator, measured by the Chinese simplified version of Social Anxiety Scale for Adolescents), depressive symptoms (measured by the Chinese version of Depression Anxiety Stress Scales-21), physical activity (as the moderator), and covariates such as age, sex, and nationality. The proposed relationships were tested using mediation and moderated mediation models. Results:Emotional abuse was directly associated with depression, and the association between emotional abuse and depression was partially mediated by social anxiety. The associations between emotional abuse with depression and with social anxiety were moderated by physical activity. Conclusion:This study revealed the mediating role of social anxiety and the moderating role of physical activity between emotional abuse and depression, which emphasizes the potential benefits of sufficient physical activity to reduce social anxiety and depressive symptoms, and more intervention studies should be conducted to explore the direct influence of sufficient physical activity in the future.

BACKGROUND:To elucidate the populations and conditions where screen-based sedentary behaviors (SB) and internalizing symptoms are coupled, this review synthesized the evidence for factors that may moderate the associations between screen-based SB, depressive symptoms, and anxiety symptoms among youth. METHODS:Two independent researchers conducted a systematic literature search of the Medline, psycINFO, and Scopus electronic databases in late 2018 for observational studies assessing moderators of the association between screen-based SB and depressive and anxiety symptoms. Studies among children and adolescents were eligible if moderation was assessed by statistical test (interaction) or stratification; and a narrative synthesis of eligible studies was conducted in accordance with PRISMA guidelines. RESULTS:Seventy empirical studies (46 cross-sectional, 19 longitudinal, and 5 both) of 13 different moderating variables of screen-based SB-internalizing symptom associations met the eligibility criteria. Of these, 40 studies were of depressive symptoms, 2 were of anxiety symptoms, and 28 studies assessed symptoms of both. The most consistent evidence of moderation was for screen-type, such that TV viewing was not as strongly associated with internalizing symptoms compared to other forms of screen-based SB. There was also inconsistent evidence for physical activity buffering screen-based SB-internalizing symptom associations and for female sex amplifying screen-based SB-internalizing symptom associations. In general, the body of evidence for anxiety symptoms was more limited than that for depressive symptoms, and were therefore more inconsistent. CONCLUSIONS:Screen-type, physical activity, and sex may influence the magnitude of screen-based SB-internalizing symptom coupling; highlighting potential sources of heterogeneity of screen-based SB-internalizing symptom associations. Additional studies aimed at understanding potential mechanistic explanations for the above moderators are needed prior to the development of tailored intervention strategies designed to decouple screen-based SB and internalizing symptoms among youth.

OBJECTIVE:To investigate the potential influence of physical, psychological, and lifestyle factors on the association between TV-viewing and depressive symptoms among Brazilian adults. METHODS:We used cross-sectional data from the Brazilian National Survey, conducted in 2013 with 60,202 adults (≥18 years). Information regarding exposure (TV-viewing), potential influencing factors (multimorbidity, mobility, self-rated health, tobacco use, alcohol consumption, sugar consumption, and physical activity) as well as elevated depressive symptoms (through PHQ-9 - score > 9) (outcome) was collected via interview-administered questionnaires. Data on covariates were self-reported. Body mass index was estimated through the assessment of body mass and stature. Mediation models were estimated through the Karlson-Holm-Breen method. RESULTS:Individuals who reported >5 h/d of TV viewing showed a higher prevalence of depressive symptoms than those with <5 h/d of TV viewing [8.1%(99%CI:7.6%-8.6%) vs 14.2%(99%CI:12.2%-16.6%)]. The association between TV-viewing and depressive symptoms was influenced by tobacco use (Overall: 7.22%; men: 4.46%, women: 8.59%), physical activity (men: 3.99%, women: 2.28%), mobility (overall: 11.31%, men: 10.85%, women: 11.03%), and multimorbidity (overall: 9.11%, men: 11.6%, women: 6.03%). Poor self-rated health influenced the association between TV-viewing and elevated depressive symptoms only among men (15.55%). Similarly, the association between >4 h/d of TV viewing and depressive symptoms was influenced by tobacco use (men: 6.8%, women: 11.7%), physical activity for women (5.5%), self-rated health for men (14.7%), mobility (men: 8.7%, women: 17.0%), and multimorbidity (men: 9.6%, women: 12.3%). CONCLUSIONS:Tobacco use, physical activity, mobility, multimorbidity, and self-rated health (men) mediate the relationship between high TV-viewing and elevated depressive symptoms. Longitudinal research is required to confirm/refute our data which may also be useful to contribute to public health interventions.

BACKGROUND:It is well known that some lifestyle-related behaviors are related to depressive symptoms, but the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents are still controversial. AIMS:The aims of this study were to examine the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents, and explored the potential influences of gender difference on these associations. METHODS:We conducted a cross-sectional study among 3967 Chinese adolescents aged 11 to 19 from Jilin, China during September and October of 2018. Students reported their lifestyle factors including sleep duration, time spent on computer, time spent on television, time spent on homework, eating breakfast, smoking, drinking, physical activity, and outdoor activity. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D). RESULTS:The prevalence of depressive symptoms was 28.2% among Chinese adolescents. Multivariate logistic regression analysis revealed that sleep duration <8 hour/day, time spent on homework ⩾3 hour/day, skipping breakfast, alcohol use, physical activity <3 days/week, and outdoor activity <2 hour/day were positively associated with depressive symptoms in both girls and boys. Time spent on computer ⩾2 hour/day was an independent risk predictor for depressive symptoms in males, while smoking only showed higher risk of depressive symptoms in females. There was an additive relationship between the lifestyle risk index scores and the risk of depressive symptoms for both genders, the relationship being strongest among females. CONCLUSION:The important role of lifestyle factors should be taking into consideration when create intervention programs to prevent and reduce depressive symptoms among adolescents. In addition, preventive interventions may need to focus on gender-informed approaches when targeting multiple lifestyle factors.

OBJECTIVE:Fundamental questions in biological psychiatry concern the mechanisms that mediate between genetic liability and psychiatric symptoms. Genetic liability for many common psychiatric disorders often confers transdiagnostic risk to develop a wide variety of psychopathological symptoms through yet unknown pathways. This study examined the psychological and cognitive pathways that might mediate the relationship between genetic liability (indexed by polygenic scores; PS) and broad psychopathology (indexed by p factor and its underlying dimensions). METHOD:First, which of the common psychiatric PSs (major depressive disorder [MDD], attention-deficit/hyperactivity disorder [ADHD], anxiety, bipolar disorder, schizophrenia, autism) that were associated with p factor were identified. Then focused was shifted to 3 pathways: punishment sensitivity (reflected by behavioral inhibition system), reward sensitivity (reflected by behavioral activation system), and cognitive abilities (reflected by g factor based on 10 neurocognitive tasks). We applied structural equation modeling on the Adolescent Brain Cognitive Development (ABCD) Study dataset (n = 4,814; 2,263 girls; 9-10 years old). RESULTS:MDD and ADHD PSs were associated with p factor. The association between MDD PS and psychopathology was partially mediated by punishment sensitivity and cognitive abilities (proportion mediated = 22.35%). Conversely, the influence of ADHD PS on psychopathology was partially mediated by reward sensitivity and cognitive abilities (proportion mediated = 30.04%). The mediating role of punishment sensitivity was specific to emotional/internalizing. The mediating role of both reward sensitivity and cognitive abilities was specific to behavioral/externalizing and neurodevelopmental dimensions of psychopathology. CONCLUSION:This study provides a better understanding of how genetic risks for MDD and ADHD confer risks for psychopathology and suggests potential prevention/intervention targets for children at risk.

BACKGROUND:Network analysis provides opportunities to gain a greater understanding of the complex interplay of risk factors for depression and heterogeneous symptom presentations. This study used network analysis to discover risk factors associated with both depression severity and depression symptoms amongst Pacific adolescents in New Zealand. METHODS:Mixed graphical models with regularization were fitted to data from a community sample of New Zealand born, Pacific adolescents, (n = 561; 51% male; Mean age (SD) = 17 (0.35)) and associations between a wide range of potentially explanatory variables and depression severity and depression symptoms investigated. The associations identified were then tested for reliability, using resampling techniques and sensitivity analysis. RESULTS:In the networks, the explanatory variables associated with both depression severity and depression symptoms were those related to quality of the relationships with mother or friends, school connectedness, and self-assessed weight, but the symptoms they were associated with varied substantially. In the depression severity networks, impulsivity appeared to be a bridging node connecting depression severity with delinquency and negative peer influence. LIMITATIONS:The data were analysed cross-sectionally, so causal inferences about the directions of relationships could not be inferred and most of the data were self-reported. CONCLUSIONS:The results illustrate the varied way that adolescent depression can manifest itself in terms of symptoms and suggest specific items on the depression inventory that might be suitable targets for prevention strategies and interventions, based on the risk factor - depression symptom profiles of individuals or groups.

BACKGROUND:Depression have become a widespread health concern in Chinese society. METHODS:We analyzed the factors influencing the risk of depression among residents aged 16 and over using data from the 2016 China Family Panel Studies (CFPS), in which depression was measured using the Center for Epidemiologic Studies Depression (CES-D20) scale. A total of 26,464 individuals were sampled in a weighted manner to represent the entire country. Univariate and multivariate analysis were used to explore the risk factors for depression and the odds of depression in people with different characteristics. RESULTS:A total of 76.6% of adult residents were mentally healthy. Females had higher rates of depression than males (OR=1.515). There was an "inverted U-shaped" distribution between age and risk of depression. Higher levels of education and better physiological health were associated with a lower risk of depression. Self-evaluated income and social status were not linearly related to the risk of depression but rather had a "U-shaped" distribution. For social capital, better social relationships and a higher level of social trust were associated with a lower risk of depression. Nonsmokers had a lower risk of depression than smokers (OR=0.818). LIMITATIONS:All items were self-reported and some results depend on single item responses. This is a cross-sectional survey so that causative interpretations cannot be drawn. CONCLUSION:These findings suggest potential public health measures whose efficacy needs to be tested and confirmed.

BACKGROUND:Adolescence represents a vulnerable period for the onset of depression. Globally, there is a need to better understand risk factors for adolescent depression to inform policies for effective prevention initiatives. METHODS:A Delphi consensus study was conducted on risk factors, early signs, and detection strategies for adolescent depression in global settings. Over 3 survey rounds, global experts formulated and ranked these variables for (1) specificity for adolescent depression and (2) feasibility of measurement (round 1, n=21 participants; rounds 2 and 3, n=17). We calculated Smith's salience index as a measure of consensus. Interviews were conducted with 10 participants to elicit qualitative reflections on the ranking results, and on the influence of cultural and contextual factors on depression risks. RESULTS:Thirty-one risk factors for adolescent depression were generated. Panelists ranked three as highly specific and highly feasible to measure: family history of depression, exposure to bullying, and a negative family environment. Six were ranked as modestly specific and highly feasible: physical illness or disability, female sex, bereavement, trauma exposure, substance abuse, and low self-esteem. An additional 5 items were modestly specific and modestly feasible: social difficulties, academic stress, poverty, loss of family, and cognitive distortions. Five symptoms were at least modestly specific and feasible to measure: mood changes, loss of interest, social isolation, suicidality, and sleep changes. Schools were considered the most feasible place for screening. LIMITATIONS:The participants were not representative of all countries and cultural regions. CONCLUSIONS:This study offers a profile of risk factors developed and prioritized by experts to inform a research agenda for risk, identification and prevention of adolescent depression across global settings.

The present study expands the existing literature and supplements today's knowledge on the relationship between personal, psychosocial and lifestyle factors and depressive symptoms among adolescents. The study aimed to investigate the variety of depressive symptoms predictors-personal resources, adverse school and family, health, lifestyle-related (sense of coherence, self-esteem, school involvement, negative acts at school, family stress and violence, psychosomatic health complaints, physical activity, smoking, alcohol) as well as gender, employing hierarchical linear regression analysis in a large representative sample of adolescents ( = 2212) in Kaunas, Lithuania. Four blocks of predictors were employed in hierarchical linear regression analysis. In the final model 64.9% of depressive symptoms were explained by all the predictors. Sense of coherence was the strongest predictor of depressive symptoms (standardized regression coefficient β = -605, < 0.001 in the first model and β = -263, < 0.001 in the final model after adjustment for all other independent variables) and accounted for 36.6% of variance. In conclusion, this study supports the notion that depressive symptoms among adolescents have multifactorial origins with many predictors showing significant effect seizes. Therefore, high sense of coherence and self-esteem, school involvement, higher levels of physical activity would be protective and influence lower levels of depressive symptoms among adolescents. Exposure to negative acts at school and negative experiences in the family, psychosomatic health complaints, smoking would increase the probability of depressive symptoms. Girls are more prone to depression as compared to boys.

It remains uncertain whether a protective association between physical activity and depression exists among adolescents and what the optimal level of physical activity might be. This study aimed to estimate the associations of physical activity levels with depressive symptoms and new-onset depression, while identifying potential modifying factors influencing the relationships. In this cohort study, we initially enrolled 1957 participants at baseline and followed up with 1738 of them after two years. Our analysis focused on data from 1482 students who provided complete information on both physical activity and depressive symptoms. Generalized linear regression and restricted cubic spline regression models were performed. Our adjusted models revealed that engaging in 4-7 h/week of moderate-to-vigorous physical activity (MVPA) at baseline was negatively associated with subsequent depressive symptoms and new-onset depression compared to the non-MVPA group. However, exceeding 7 h/week of MVPA did not provide substantial benefits. Furthermore, drinking and screen time potentially modified the relationship between MVPA and new-onset depression. Our findings suggest that 4-7 h of MVPA per week may be an appropriate level to reduce depressive symptoms in adolescents. Moreover, individual behaviors (e.g., drinking and screen time) warrant heightened attention in interventions targeting the reduction of depression in this population.

BACKGROUND:Cognitive-behavioral therapy (CBT) is first choice of treatment for depressive symptoms and disorders in adolescents, however improvements are necessary because overall efficacy is low. Insights on CBT components and contextual and structural characteristics might increase the efficacy. The aim of our approach is to evaluate the efficacy of CBT for youth with depression and investigate the influence of specific components, contextual and structural factors that could improve effects. METHODS:A systematic review of randomized controlled trials was conducted, searches were undertaken in CINAHL, CENTRAL, EMBASE, MEDLINE/PubMed and PsycINFO. Outcomes were meta-analyzed and confidence in results was assessed using the GRADE-method. Meta-regression was used to pinpoint components or other factors that were associated with an in- or decrease of effects of CBT. RESULTS:We included 31 trials with 4335 participants. Moderate-quality evidence was found for CBT reducing depressive symptoms at the end of treatment and at follow-up, and CBT as indicated prevention resulted in 63% less risk of being depressed at follow-up. CBT containing a combination of behavioral activation and challenging thoughts component (as part of cognitive restructuring) or the involvement of caregiver(s) in intervention were associated with better outcomes for youth on the long term. CONCLUSIONS:There is evidence that CBT is effective for youth with a (subclinical) depression. Our analyses show that effects might improve when CBT contains the components behavioral activation and challenging thoughts and also when the caregiver(s) are involved. However, the influential effects of these three moderators should be further tested in RCTs.

BACKGROUND:Exercise may help to mitigate symptoms of depression by reducing inflammation; however, little is known about the influence of exercise intensity on depressed mood. METHODS:In the present study, sixty-one university students were assigned to six weeks of high-intensity interval training (HIT), moderate continuous training (MCT), or no exercise (CON) during their academic term. We measured changes in depression, anxiety and perceived stress along with pro-inflammatory cytokines tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), interleukin-1 beta (IL-1β), and C-reactive protein (CRP). RESULTS:Depression increased for CON, demonstrating how quickly mental health can decline for students during their academic term. In contrast, MCT decreased depression and pro-inflammatory cytokine TNF-α levels. Although HIT decreased depressive symptoms, it also increased perceived stress, TNF-α and IL-6 relative to MCT. This may be due to the higher level of physical stress evoked by the more strenuous exercise protocol. CONCLUSIONS:Taken together, the results suggest that moderate-intensity exercise may be an optimal intensity of exercise for the promotion of mental health by decreasing TNF-α. This is critical for informing the use of exercise as medicine for mental health.