1. Introduction
Mental disorders are among the conditions that place a high burden on healthcare [1] and remain among the primary causes of disease burden worldwide. However, there is no evidence of a decrease in this burden compared to previous decades [2]. Depression and anxiety are two categories of common mental disorders with a significant health burden [2]. In 2021, the Global Burden of Disease Study indicated that depression and anxiety are leading causes of disability, and both are among the 25 leading causes of disability worldwide [2,3]. The global prevalence of depressive disorders in 2019 was equal to 3440.1 per 100,000, and the prevalence rates for men and women were 2713.3 and 4158.4 per 100,000, respectively [2]. In addition, the prevalence of anxiety disorders is 3379.5/100,000, and the prevalence rates for men and women are 2859.8 and 4694.75 per 100,000, respectively [2]. The COVID-19 pandemic has affected public health as well as social structures, contributing to a significant increase in stress levels and further exacerbating mental health challenges worldwide [4,5].
According to a World Health Organization (WHO) report published in 2022, one out of every eight people worldwide live with a mental illness [6]. Thus, globally, 970 million people live with a mental disorder, of which depression and anxiety are the most common [7]. Several factors are associated with the prevalence of depression, anxiety disorders, and stress, including personality traits [8], financial status [9], biological factors [10], parental factors [11], and chronic diseases [12]. Additionally, a class of factors that can affect depression, anxiety, and stress is related to lifestyle, including physical activity [13,14,15,16,17], dietary patterns [18,19], sleep problems [20,21], smoking [22,23], and body mass index [24,25,26].
Lifestyle refers to “the characteristics of inhabitants of a region in special time and place” [27]. Interventions based on a healthy lifestyle have improved physical and mental health, with several studies exhibiting their effectiveness in cases of type 2 diabetes [28,29], obesity [30,31], cardiovascular risk [32], reducing cancer risk [33], obstructive sleep apnea [34], preventing weight gain [35], and mental health [36]. Considering the role of lifestyle interventions in improving health status, studies have investigated their effects in improving mental health and issues related to it [37,38].
A healthy lifestyle effectively reduces depression and anxiety [39,40]. A comprehensive review of studies conducted on the effectiveness of lifestyle interventions for common mental disorders, including depression and anxiety, indicated that there is extensive research available on this field, based on which, review and meta-analysis studies have also been conducted [39,40,41,42,43,44,45,46]. Specifically, for depression, results indicate that Cohen’s effect size ranges from −0.18 to −0.95 [40,41,43] while, for anxiety symptoms, Cohen’s effect size has been reported at −0.19 [39]. Although these reviews and meta-analyses offer valuable insights, they have revealed critical gaps. Most studies have focused on depression and anxiety; however, psychological stress, which is a distinct mental health condition, has not been thoroughly explored [47]. Although the effectiveness of lifestyle interventions may vary across different patient populations, few studies have analyzed the outcomes based on these differences. Given that depression and anxiety are more prevalent among women, the specific impact of lifestyle interventions on these disorders in women has been understudied [48]. Furthermore, various scales have been used to measure depression, anxiety, and stress; however, the potential impact of these differences in measurement tools on study outcomes has not been sufficiently addressed in previous meta-analyses. Recognizing these gaps, this systematic review and meta-analysis aimed to evaluate the effects of lifestyle interventions on depression, anxiety, and stress. Additional objectives include analyzing the influence of these interventions across different population subgroups, specifically among women, and investigating how measurement scales may affect the results.
2. Methods
2.1. Inclusion and Exclusion Criteria
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The population studied in this research were under lifestyle interventions.
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Eligible studies must have a lifestyle intervention group and a control group.
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The outcomes examined in these studies were depression, anxiety, and stress.
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Randomized clinical trials were eligible. Non-randomized clinical trials, quasi-experimental, and cluster randomized clinical trials were not eligible. Quasi-experimental studies were excluded because of the likelihood of confounding variables affecting the internal validity. Furthermore, studies presenting mixed or combined results were omitted to maintain uniformity in the outcome metrics for depression, anxiety, and stress. It was not possible to calculate the exact effect size, because the studies did not report the number of clusters, intra-class correlation was not reported in cluster randomized control trials, and it was not possible to estimate the effect size correctly [49,50], nor pre-post designs.
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Studies that studied mixed multiple outcomes were not eligible.
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For some studies. several reports were published and, in these cases, only the study with the best quality was included in the meta-analysis, excluding the rest.
2.2. Information Sources
Five databases were systematically searched to retrieve eligible articles: PubMed, Web of Science, Scopus, the Cochrane Library, and Google Scholar. Google Scholar was specifically used to identify gray literature. A set of keywords were used to search each database. In addition, all references for previous review studies in this regard were also searched by one of the authors. The search period was demarcated from the beginning of database formation. The search was conducted in English until August 2023.
2.3. Search Strategy
The review protocol has been registered with PROSPERO under the identifier CRD42023390131. Since the data used in this review were gathered from publicly accessible databases and online searches, ethics committee approval and informed consent were not required necessary. The study selection process is illustrated in Figure 1. A syntax of keywords is shown in Appendix A.
2.4. Selection Process
Eligible studies were screened and selected as follows. First, each author screened the collection of studies compiled from five databases based on the inclusion and exclusion criteria. Then, the work was divided into eligible articles, where each author reviewed a set of articles. This process was performed independently. Disagreements were resolved by discussing the final articles.
2.5. Data Collection Process
All eligible articles were divided among the authors so that each of them could extract the necessary data. After extracting data from each study, all extracted data were checked again. If the study data were insufficient, one of the authors contacted the other to obtain the necessary information.
2.6. Data Items
The intervention variable used in the present study consisted of interventions based on lifestyle. For an intervention to be considered as “lifestyle” oriented, at least two components from, the total lifestyle items had to be included. The outcomes of the study were depression, anxiety, and stress. Depression and anxiety are common mental health disorders. Instruments to measure depression, anxiety, and stress were used in this study. All scales used are listed in Table 1.
2.7. Study Risk of Bias Assessment
Following PRISMA guidelines, we used the Cochrane Collaboration’s risk of bias tool to evaluate the quality of the included studies [51]. The tool includes five dimensions of quality assessment: selection bias, performance bias, detection bias, attrition bias, and reporting bias. Bias was evaluated by judging each element from the five key domains. Each element was classified as having high, low, or unclear risk of bias. In this qualitative evaluation, the authors entered independently, and then qualitative evaluations were integrated through a discussion of disagreements. Overall, the quality was sufficient to support robust conclusions, with most studies meeting acceptable quality standards. A detailed summary of the risk of bias for each study is provided in Table 1, which aids in interpreting the reliability and generalizability of the meta-analysis findings.
2.8. Effect Measures
The effect size used in this study was the standardized mean difference, which was reported in the form of Hedges’ g effect size and 95% confidence interval (CI). Means, standard deviations, and sample sizes were used for each intervention and control group. In cases where these statistics were not reported, the sample size and p value were used.
2.9. Synthesis Methods
To calculate the effect size, the mean, standard deviation, and sample size of the intervention and treatment groups were extracted in the post-test. In some studies, instead of standard deviation, standard error or confidence interval was reported, and the Cochrane Handbook procedures were used to convert these into standard deviations [52]. Some studies used the mean change or mean difference or other tests to check for differences between the intervention and control groups. In this case, existing procedures were used to calculate the effect size, which included the use of sample size, p value, and direction, the details of which are mentioned in the guide [53]. Some studies have reported multiple dependent outcomes, which were transformed using existing procedures using Comprehensive meta-analysis-Version 3.3 software [53,54]. The effect size used in this study was Hedges’ g, and the 95% confidence interval was classified as follows: 0.20 (low), −0.50 (medium), 0.80 (large) [55]. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Hedges’ g was used because it considers the sample size, and the studies included in this meta-analysis had different sample sizes [56]. Based on the goals of this study, the following analyses were conducted. The effects of lifestyle interventions on depression, anxiety, and stress were analyzed separately. For each of these analyses, several subgroups were created based on the type of population and scale used to measure depression, anxiety, stress, and sex. Heterogeneity in the studies included in the meta-analysis and publication bias were also examined. These tests were used for the heterogeneity Q test and I2 [57,58]. An interpretation of I2 is as follows: may not be important, moderate, substantial, and considerable [59]. For publication bias, these tests used funnel plots [60,61], Egger’s test [62,63], and Trim and fill [64]. Comprehensive meta-analysis-3 software was used in this study [53].
3. Results and Discussion
3.1. Screened Studies
The studies were screened based on the flowchart shown in Figure 1. After identifying duplicate studies, ineligible studies and other studies that did not meet the inclusion criteria were excluded. Finally, 97 clinical trial studies [65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160] were included in this meta-analysis. Table 1
Studies included in meta-analysis.
Author and Year | Country | Follow-Up | Population | Age | Sex | Sample Size | Lifestyle Intervention Definition | Mental Disorders | Mental Disorders Scoring | Measure | Quality Dimensions | Results | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selection Bias | Performance Bias | Detection Bias | Attrition Bias | Reporting Bias | |||||||||||||
Random Sequence | Allocation Concealment | ||||||||||||||||
Anderson 2015 [66] | Australia | 3-month | Breast cancer | 45–60 | Women | 51 | Pink Women’s Wellness Program | 1-Depression | Higher scorer indicating more mental problemss | 1-Greene | Low | Unclear | High | High | Low | Unclear | Depression |
Azami 2018 [67] | Iran | 3-month | Type | ≥18 | 65.5% women | 142 | Nurse-led diabetes self-management | 1-Depression | Higher scorer indicating more mental problemss | 1-Center for Epidemiologic Studies Depression Scale | Low | Low | High | Low | Low | Unclear | 3-month |
Brennan 2012 [68] | Australia | 6-month | Overweight/Obese | 11–19 | 54% women | 63 | Cognitive Behavioural Lifestyle | 1-Depression | Higher scorer indicating more mental problemss | 1-Depression anxiety and stress scale | Low | Unclear | Unclear | Low | Low | Unclear | Depression |
Bringmann 2022 [69] | Germany | 1-month | Mild to moderate depression | 49.1 ± 11.1 in intervention | 77.8% women | 54 | Meditation-Based Lifestyle Modification | 1-Depression | Higher scorer indicating more mental problemss | 1-Beck Depression Inventory | Low | Low | Low | Low | Low | Unclear | Depression |
Brown 2001 [70] | USA | 8-week | Mild to moderate depression | 19–78 | Women | 104 | Multi-Modal Intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | High | Low | Unclear | Unclear | Low | Unclear | Depression |
Casañas 2012 [72] | Spain | 3-month | Major depression | ≥20 | 89.2% women | 231 | Psycho-educational | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Low | Low | High | High | Low | Unclear | 3-month |
Cezaretto 2012 [73] | Brazil | 9-month | Type 2 | 18–79 | 67.8% women | 177 | Intensive interdisciplinary | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Unclear | Unclear | Unclear | Unclear | High | Unclear | Intervention |
Chang 2018 [74] | Korea | 3-month | Older Adults with major depressive disorder | 77.8 ± 6.6 | 87.1% women | 93 | Multi-Domain Lifestyle Modification | 1-Depression | Higher scorer indicating more mental problems | 1-Geriatric | Low | Low | Unclear | Low | Low | Unclear | Intervention |
Charandabi 2017 [75] | Iran | 2-month | spouses of pregnant women | 31.9 ± 5.3 | Men | 126 | Life Style Based Education | 1-Depression | Higher scorer indicating more mental problems | 1-Edinburgh Postnatal Depression Scale | Low | Low | High | Low | Low | Unclear | Depression |
Chiang 2019 [76] | Taiwan | 3-month | Metabolic Syndrome | ≥40 | Women | 68 | Lifestyle | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Low | Low | Unclear | Low | Unclear | Unclear | Intervention |
Clark 2012 [77] | USA | 6-month | Older people | 60–95 | 65.9% women | 360 | Lifestyle intervention (Well Elderly Lifestyle) | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | Low | Unclear | Low | Low | Low | Unclear | Intervention |
Croker 2012 [78] | UK | 6-month | Obese | 10.3 ± 1.6 | 69.4% women | 63 | family-based behavioral treatment | 1-Depression | Higher scorer indicating more mental problems | 1-Children’s Depression Inventory | Low | High | High | Low | Unclear | Unclear | Intervention |
Desplan 2014 [79] | France | 1-month | obstructive sleep apnea | 35–70 | Unknown | 22 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | High | Unclear | Unclean | Unclean | Unclean | Depression |
Devi 2014 [80] | UK | 6-week | Angina Population | 66.27 (8.35) in intervention | 25.5% women | 94 | Activate Your Heart | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | High | High | Low | Unclean | Depression |
Dodd 2016 [81] | Australia | 28-week | overweight or obese | 29.4 (5.4) for intervention | Women | 2142 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Edinburgh Postnatal Depression Scale-10 | Low | Low | Unclear | Unclear | Unclear | Unclear | Depression |
Forsyth 2015 [82] | Australia | 3-month | patients with depression and anxiety | 18–84 | Both (%Women is unknown) | 63 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | High | High | Unclear | Unclear | High | Unclear | Depression |
Furuya 2015 [83] | Brazil | 6-month | Patients following percutaneous | ≥18 | 43.3% women | 60 | educational programme | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Low | Low | Low | Unclear | Unclear | Depression |
Garcia 2023 [84] | Spain | 2-month | treatment-resistant depression | ≥18 | 69.2% women | 65 | lifestyle modification program | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory-II | Low | Low | Unclear | Unclear | Low | Unclear | 2-month |
Giallo 2014 [85] | Australia | 2-week | Postpartum | >18 | Women | 98 | psychoeducational intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclear | Low | Unclear | Low | Unclear | 2-week |
Glasgow 2006 [86] | USA | 2-month | Type 2 diabetes | 61.5 ± 11.3 | 50% women | 301 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Guo 2021 [87] | China | 3-month | Gestational Diabetes Mellitus | ≥18 | Women | 320 | Intensive Lifestyle Modification | 1-Stress | Higher scorer indicating more mental problems | 1-perceived stress scale | Low | Low | High | Low | Low | Unclear | 3-month |
Han 2020 [88] | Hong Kong | 15-week | major depressive disorder | 47.06 (9.54) in intervention | Both (%Women is unknown) | 33 | Dejian mind-body intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Hamilton Psychiatric Rating Scale | Low | Low | Low | Low | Unclear | Unclear | HRSD |
Heutink 2012 [89] | The Netherlands | Post-intervention | spinal cord injury | ≥18 | 30.06% women | 61 | Multidisciplinary | 1-Anxiety | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Post-intervention |
Hilmarsdóttir 2021 [90] | Iceland | 6-month | type 2 diabetes mellitus | 25–70 | 63.3% women | 30 | Sidekick Health smartphone app | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Low | High | Low | Unclear | Unclear | Depression |
Holt 2019 [91] | UK | 3-month | Schizophrenia | ≥18 | 49% women | 412 | structured education lifestyle program | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | High | High | Low | Unclear | Unclear | 3-month |
Hwang 2019 [92] | Korea | 4-week | nurses employed | Unspecified | 94.6% women | 56 | Stress-Management Program | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression * |
Ihle-Hansen 2014 [93] | Norway | 12-month | Stroke | 72.6 (11.2 in intervention | 46.7% women | 195 | multifactorial risk factor intervention program | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Unclear | Low | Low | Low | Unclear | Depression |
Imayama 2011 [94] | USA | 12-month | overweight/obese | 50–75 | Women | 204 | diet and/or exercise interventions | 1-Depression | Higher scorer indicating more mental problems | 1-Brief Symptom Inventory-18 | Low | Unclear | Unclear | Low | Low | Unclear | Depression |
Inouye 2014 [95] | USA | 6-month | at risk for diabetes | ≥30 | Both %Women is unknown | 40 | Lifestyle Intervention | 1-Depression | Higher scorer indicating more mental problems | 1- Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Ip 2021 [96] | China | 6-week | moderate to severe depression | ≥18 | 83.9% women | 31 | group-based lifestyle medicine | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | High | Low | Low | Unclear | 6-week |
Jonsdottir 2015 [99] | Iceland | 6-month | obstructive pulmonary | 45–65 | 54% women | 100 | self-management programme | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Unclear | Low | Unclear | Low | Unclear | Depression |
Kelly 2020 [100] | Australia | 12-week | consumers | 18–65 | 58% women | 43 | peer delivered healthy lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | Unclear | Low | Unclear | Unclear | 12-week |
Kieffer 2013 [101] | USA | Unknown | Pregnant | ≥18 | Women | 275 | Healthy Lifestyle Intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | Low | Low | Unclear | Low | Low | Unclear | Intervention |
Kim 2011 [102] | Korea | 12-week | Breast Cancer | 26–69 | Women | 45 | Matched Exercise and Diet | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Depression |
Koch 2021 [103] | Germany | 12-week | Ulcerative | 18–74 | Unknown | 97 | Lifestyle Modification | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Unclear | Unclear | Unclear | Low | Unclear | Depression |
Kwon 2015 [105] | Korea | 4-week | Community Dwelling | ≥65 | 59.5% women | 93 | Wheel of Wellness counseling intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | High | Unclear | Unclear | Unclear | Intervention |
Lee 2015 [106] | Korea | 6-month | obstructive pulmonary | 40–80 | 8.6% women | 151 | nurse-led problem-solving therapy | 1-Depression | Higher scorer indicating more mental problems | 1- Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | High | Unclear | Intervention |
Leemrijse 2016 [107] | the Netherlands | 6-month | patients | 18–80 | 19% women | 374 | Hartcoach | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Unclear | Low | Unclear | Low | Unclear | Depression |
Lund 2012 [108] | Norway | 9-month | stroke survivors | 75 (7.2 in intervention | 51.2% women | 204 | lifestyle course | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | Unclear | Low | Unclear | Unclear | Depression |
María Nápoles 2020 [109] | USA | 3-month | breast cancer survivors | 28–88 | Women | 153 | stress | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | Unclear | Low | Low | Unclear | Depression |
Martín 2014 [110] | Spain | 6-month | Fibromyalgia | 50.12 ± 9.07 | 93.5% women | 110 | Interdisciplinary PSYMEPHY | 1-Anxiety | Higher scorer indicating more mental problems | 1-Fibromyalgia Impact Questionnaire | Low | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Mayer-Davis 2018 [111] | USA | 18-month | Type 1 diabetes | 13–16 | 38.8% women | 99 | Flexible Lifestyles for Youth | 1-Depression | Higher scorer indicating more mental problems | 1- Center for Epidemiologic Studies Depression Scale | Low | Low | Unclear | High | Low | Unclear | Intervention |
Mensorio 2019 [112] | Spain | 3-month | Obesity and hypertension | 18–65 | Unknown | 106 | Living Better | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclean | Unclear | Unclear | Low | Unclear | Depression |
Michalsen 2005 [113] | Germany | 12-month | Coronary | 59.4 ± 8 8.6 | 22.8% Women | 101 | lifestyle modification program | 1-Depression | Higher scorer indicating more mental problems | 1-Beck | Low | Low | Unclear | Unclear | Low | Unclear | Depression |
Moncrieft 2016 [144] | USA | 6-month | Type 2 Diabetes | 18–70 | 71.2% women | 111 | Lifestyle Modification | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory-II | Low | Low | Unclean | Low | Low | Unclear | 6-month |
Moore 2011 [158] | Australia | 6-month | At risk of type 2 diabetes | 61.3 ± 11.1 | 59% women | 307 | group-based | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | High | Unclean | Unclean | Unclean | Unclean | Unclean | Depression |
Morales-Fernández 2021 [159] | Spain | 3-month | non-malignant pain | 45–61 percentile | 67.7% women | 279 | nurse-led intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | High | Low | Low | Unclear | Depression |
Moseley 2009 [115] | Australia | Post-Program | Adolescent | 15.6 ± 0.6 | 66.7% women | 81 | School-Based Intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Post-Program |
Mountain 2017 [116] | UK | 6-month | older | ≥65 | 68.05% women | 262 | occupation-based lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Low | High | Low | Low | Unclear | 6-month |
Murawski 2019 [117] | Australia | 3-month | Adults with insufficient physical activity/poor sleep quality | 18−55 | 80% women | 160 | physical activity and sleep quality | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Low | Unclear | Unclear | Low | Unclear | Depression |
Nie 2019 [118] | China | 3-month | coronary artery disease | 18–80 | 27.5% women | 284 | lifestyle improving program | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | High | Low | Low | Unclear | Depression |
O’Neill 2015 [119] | UK | 6-month | prostate cancer | 69.7 ± 6.8 in intervention | Men | 94 | diet and physical activity | 1-Stress | Higher scorer indicating more mental problems | 1-Perceived Stress Scale | Low | Low | Unclean | High | Low | Unclear | Intervention |
O’Reilly 2016 [120] | Australia | 12-month | Gestational Diabetes | ≥18 | Women | 573 | group-based lifestyle modification | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Phelan 2014 [121] | USA | 6-month | pregnancy | >18 | Women | 401 | behavioral intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Edinburgh Postnatal Depression Scale | Low | Unclear | Low | Low | Low | Unclear | Depression |
Psarraki 2021 [122] | Greece | Unknown | major depressive disorder | 18–65 | 83.9% women | 69 | Pythagorean Self-Awareness | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclear | High | High | Unclear | Unclear | Depression |
Sacco 2009 [123] | USA | 6-month | type 2 diabetes | 18–65 | Both %Women is unknown | 62 | regular telephone intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | High | Unclear | Unclear | Unclean | Low | Unclear | Intervention |
Sanaati 2017 [124] | Iran | 8-week | Pregnancy | 27.5 (4.9) in intervention | Women | 125 | lifestyle-based education | 1-Depression | Higher scorer indicating more mental problems | 1-Edinburgh Postnatal Depression Scale | Low | Low | High | Low | Low | Unclear | Depression |
Saxton 2014 [125] | UK | 6-month | breast cancer | 55.8 (10.0) in intervention | Women | 85 | pragmatic lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Low | Low | Unclear | Low | Low | Unclear | Depression |
Sebregts 2005 [126] | the Netherlands | Post-intervention | acute myocardial infarction or coronary artery bypass grafting | 55.6 [8.0 in intervention | Both %Women is unknown | 184 | hort behavior modification program | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Unclean | Low | Low | Unclear | Low | Unclear | Post-intervention |
Serrano Ripoll 2015 [127] | Spain | 6-month | Primary | IQR 40–61 | 82%women | 273 | Lifestyle change recommendations | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Unclear | Low | Low | Low | Low | Unclear | Depression |
Sheean 2021 [128] | USA | 12-week | metastatic breast cancer | ≥18 | Women | 35 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | Unclear | Low | Unclear | Unclear | Depression |
Sorensen 1999 [129] | Norway | Unknown | elevated | 41–50 | Both %Women is unknown | 219 | exercise and diet | 1-Depression | Higher scorer indicating more mental problems | 1-General Health Questionnaire | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression |
Speyer 2016 [130] | Denmark | Unknown | Schizophreni/abdominal obesity | 38.6 ± 12.4 | 56.1 women | 428 | lifestyle coaching | 1-Stress | Higher scorer indicating more mental problems | 2-Perceived Stress Scale | Low | Low | Low | Low | Low | Unclear | Intervention |
Sylvia 2019 [131] | USA | 20-week | bipolar disorder | 18–65 | 65.8% women | 38 | Nutrition exercise | 1-Depression | Higher scorer indicating more mental problems | 1-Montgomery Asberg Depression | Unclear | Unclear | Unclear | Low | Low | Unclear | CGI |
Takeda 2020 [132] | Japan | 7-month | Elderly | 77.03 (8.08 in intervention | 88.2% women | 127 | lifestyle development program | 1-Depression | Higher scorer indicating more mental problems | 1–15-item Geriatric | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Toobert 2007 [133] | USA | 6-month | type 2 | 61.1 (8.0) in intervention | Women | 279 | Mediterranean lifestyle program | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Depression |
Tousman 2011 [134] | USA | 2-month | Asthma | 51.4 (14.7) in intervention | 68.9% women | 45 | behavior modification procedure | 1-Depression | Higher scorer indicating more mental problems | 1-Geriatric Depression Scale | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Trento 2020 [135] | Italy | 4-year | type 2 | 62.6 ± 7.5 in intervention ± 9.1 in control | 36% women | 50 | Self-management education | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclean | Low | High | High | Low | Unclear | Depression |
Tsai 2021 [136] | Taiwan | 2-week | at-risk mental state | 20–35 | 55.4% women | 92 | Health-Awareness-Strengthening Lifestyle | 1-Anxiety | Higher scorer indicating more mental problems | 1-State and Trait Anxiety Inventory | Low | Unclear | Unclear | Unclear | Low | Unclear | State Anxiety |
Ural 2021 [137] | Turkey | 6-week | gestational diabetes mellitus | ≥18 | Women | 88 | health-promoting lifestyle education | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | High | High | Unclear | Unclear | Unclear | Unclear | Intervention |
Van Dammen 2019 [138] | the Netherlands | 5-year | Obesity and | 18–39 | Women | 577 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression |
van der Wulp 2012 [139] | the Netherlands | 3-month | type 2 | Unknown | 45.4% women | 119 | peer-led self-management | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | Low | Unclear | 3-month |
Wang 2014 [140] | USA | 4-month | type 2 diabetes | ≥18 | 76.6 women | 252 | Diabetes Self-Management | 1-Depression | Higher scorer indicating more mental problems | 1-Center for Epidemiologic Studies Depression Scale | Low | Low | Unclear | Low | Unclear | Unclear | 4-month |
Wang 2017 [141] | China | 1-month | Metabolic syndrome | 24–78 | 50.9% women | 173 | lifestyle intervention program | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | Unclear | Low | Low | Unclear | 1-month |
Williams 2018 [142] | Australia | 26-week | Low Back Pain | 56.7 ± 13.4 | 59.1% women | 159 | Healthy Lifestyle Intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Low | Unclear | Low | Low | Low | Depression |
Wong 2021 [143] | China | 9-week | moderate level of depressive symptoms | 32.9 ± 12.5 | 84.8% women | 79 | Lifestyle Medicine | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Unclear | High | Unclean | Unclear | Unclear | Depression |
Sample size and p value | |||||||||||||||||
Advocat 2016 [65] | Australia | 6-month | Parkinson’s disease | 18–75 | 57.9% women | 48 | Mindfulness-based lifestyle | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Low | Low | Low | High | Unclear | Depression |
Brown 2006 [71] | UK | 6-week | Serious mental illness | 18–65 | 85.7% women | 17 | health promotion sessions | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Low | Unclear | Low | Low | Unclear | Depression |
Gallagher 2014 [144] | Australia | 16-week | overweight with | 63.2 ± 8.69 | 40% women | 147 | Group-based lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Gaudel 2021 [145] | Nepal | 1-month | coronary artery disease | >18 | 24.1% women | 224 | lifestyle-related risk factor modification intervention | 1-Stress | Higher scorer indicating more mental problems | 1-Perceived Stress Scale-10 | Low | Unclear | High | Unclear | Unclear | Unclear | Intervention |
Goracci 2016 [146] | Italy | 12-month | Recurrent depression | >18 | 80% women | 160 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Islam 2013 [97] | USA | 6-month | at | 18–75 | 64.3% women | 35 | Healthy Lifestyles | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression |
Jiskoot 2020 [147] | The Netherlands | 12-month | Polycystic Ovary Syndrome | 18–38 | Women | 120 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory-II | Low | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Jørstad 2016 [99] | the | 12-month | Acute | 18–80 | 22.5% women | 120 | nurse-coordinated prevention | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory-II | Low | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Kokka 2019 [104] | Greece | 8-week | Intimate Partner | 18–70 | Women | 60 | stress | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclean | High | High | Low | Low | Depression |
Lorig 2009 [148] | USA | 6-month | type 2 diabetes | 24–93 | Both %Women is unknown | 294 | Peer-Led Diabetes Self-management | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Low | Unclean | High | Unclean | Low | Unclear | Intervention |
Lovell 2014 [149] | UK | 6-month | psychosis | 16–35 | 40% women | 105 | Healthy Living | 1-Depression | Higher scorer indicating more mental problems | 1-Calgary Depression Scale. | Low | Unclean | High | Low | Low | Unclear | 6-month |
Mitchell 2014 [160] | UK | 6-month | chronic obstructive pulmonary | 69 ± 8.0 in intervention | 45.1% women | 184 | self-management programme | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Low | Low | High | Low | Low | Unclear | Depression |
Pelekasis 2016 [150] | Greece | 8-week | Breast | 18–75 | Women | 61 | stress management | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclear | Unclear | Unclear | Low | Unclear | Depression |
Przybylko 2021 [151] | Australia and New Zealand | 12-week | General population | 46.97 ± 14.5 | 69.9% women | 320 | Online | 1-Depression | Higher scorer indicating more mental problems | 1-Depression anxiety and stress scale | Low | Unclean | High | High | Low | Unclear | Depression |
Rosal 2005 [152] | USA | 3-month | type 2 diabetes | 45–82 | 80% women | 25 | Diabetes Self-Management | 1-Depression | Higher scorer indicating more mental problems | 1- Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | 3-month |
Ruusunen 2012 [153] | Finland | Unknown | overweight or obese/glucose tolerance | 40–64 | 57.9% women | 140 | lifestyle intervention | 1-Depression | Higher scorer indicating more mental problems | 1-Beck Depression Inventory | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Intervention |
Samuel-hodge 2017 [154] | USA | 20-week | overweight or | 21–75 | 81% women | 108 | Lifestyle Support | 1-Depression | Higher scorer indicating more mental problems | 1-Patient Health | Unclear | Unclear | High | Low | Unclear | Unclear | Intervention |
Skrinar 2005 [155] | USA | 12-week | Serious Psychiatric | 18–55 | Unknown | 20 | healthy lifestyle | 1-Depression | Higher scorer indicating more mental problems | Symptom | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression |
Surkan 2012 [156] | USA | Unknown | Postpartum | 18–44 | Women | 403 | Health Promotion Intervention | 1-Depression | Higher scorer indicating more mental problems | 1- Center for Epidemiologic Studies Depression Scale | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Intervention |
Ye 2016 [157] | China | 2-month | Breast cancer | Unknown | Women | 204 | mentor-based program | 1-Depression | Higher scorer indicating more mental problems | 1-Hospital | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Depression |
* calculated by author(s).
3.2. Quality Assessment of Studies
A qualitative evaluation of the eligible studies was conducted, based on the results of the qualitative evaluation listed in Table 1.
3.3. Lifestyle Intervention and Depression
A meta-analysis of 89 randomized clinical trials of lifestyle interventions on depression indicated that lifestyle interventions lead to a reduction in depression, according to which Hedges’s g was equal to −0.21 with 95% confidence interval −0.26, −0.15 (Z = −7.12; p < 0.001; I2 = 56.57) (not shown in the figure).
3.4. Sub-Group Analysis for Lifestyle Intervention and Depression
Table 2 shows the results of the meta-analysis of lifestyle interventions for depression across different populations. In the cancer population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.34; 95% CI −0.59, −0.08 [Z = −2.54; p = 0.011; I2 = 56.23%]). In the depressed population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.44; 95% CI −0.62, −0.26; Z = −4.82; p < 0.001; I2 = 40.46%). In the diabetes/at-risk diabetes population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.15; 95% CI −0.27, −0.03 (Z = −2.43; p = 0.015; I2 = 56.51%). In the heart-related disease population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.19; 95% CI −0.34, −0.04 [Z = −2.44; p = 0.015; I2 = 39.52%]). In the metabolic syndrome population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.74; 95% CI −1.27, −0.21 (Z = −2.44; p = 0.006; I2 = 69.66%). In obstructive pulmonary disease, older adults, and the overweight/obese population, lifestyle interventions did not affect depression significantly.
Figure 2 shows the meta-analysis of lifestyle interventions on depression in women. In this case, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.27; 95% CI −0.39, −0.14; Z = −4.17; p < 0.001; I2 = 75.25%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be procured.
Table 3 shows the meta-analysis of lifestyle interventions on depression based on depression scales. Lifestyle interventions on depression in the Beck Depression Inventory (BDI) indicated a reduction in depression post-intervention [Hedges’ g = −0.26; 95% CI −0.45, −0.07; Z = −2.62; p = 0.009; I2 = 73.07%). Lifestyle interventions on depression in the Center for Epidemiologic Studies Depression Scale (CES-D) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.23; 95% CI −0.32, −0.14 (Z = −4.97; p < 0.001; I2 = 49.69%). Lifestyle interventions on depression in the Hospital Anxiety and Depression Scale (HADS) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.25; 95% CI −0.35, −0.14; Z = −4.62; p < 0.001; I2 = 30.95%). Lifestyle interventions on depression in the Patient Health Questionnaire (PHQ) showed that lifestyle interventions led to a reduction in depression [Hedges’s g = −0.16; 95% CI −0.28, −0.05 (Z = −2.76; p = 0.006; I2 = 49.46%).
3.5. Lifestyle Intervention and Anxiety
A meta-analysis of 47 randomized clinical trials of lifestyle interventions on anxiety showed that lifestyle interventions led to a reduction in anxiety, according to which Hedges’s g was equal to −0.24 with a 95% confidence interval of −0.32, −0.15 (Z = −5.54; p < 0.001; I2 = 59.25) (Figure 3).
3.6. Sub-Group Analysis Lifestyle Intervention and Anxiety
Figure 4 shows the meta-analysis of lifestyle interventions for anxiety based on different populations. Lifestyle interventions on anxiety in the cancer population showed that they led to a reduction in anxiety (Hedges’s g = −0.32; 95% CI −0.58, −0.06; Z = −2.42; p = 0.015; I2 = 47.10%). Lifestyle interventions for anxiety in the heart-related disease population showed that lifestyle interventions led to a reduction in anxiety [Hedges’s g = −0.26; 95% CI −0.43, −0.10; Z = −3.17; p = 0.002; I2 = 30.52%]. Lifestyle interventions on anxiety in other mental disorder populations showed that they led to a reduction in anxiety (Hedges’s g = −0.35; 95% CI −0.64, −0.07; Z = −2.46; p = 0.014; I2 = 0%). Lifestyle interventions on anxiety in the stroke population reduced anxiety (Hedges’s g = −0.29; 95% CI −0.52, −0.06; Z = −2.42; p = 0.015; I2 = 0%). Lifestyle interventions for anxiety in depressed, diabetic, overweight/obese, and obstructive pulmonary disease populations showed that their effects on anxiety were not significant.
Figure 5 shows the meta-analysis of lifestyle interventions for anxiety among women. Lifestyle interventions for anxiety in women led to reduced anxiety (Hedges’ g = −0.29; 95% CI −0.47, −0.10; Z = −3.04; p = 0.002; I2 = 72.86%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be accomplished.
Figure 6 shows a meta-analysis of lifestyle interventions for anxiety based on anxiety scales. Lifestyle interventions on anxiety in the Brief Symptom Inventory (BSI) showed that lifestyle interventions led to a reduction in anxiety (Hedges’s g = −0.27; 95% CI −0.48, −0.06; Z = −2.52; p = 0.012; I2 = 0%). Lifestyle interventions for anxiety in the DASS showed a reduction in anxiety [Hedges’ g = −0.23; 95% CI −0.42, −0.05 (Z = −2.46; p = 0.014; I2 = 59.86%). Lifestyle interventions on anxiety in Generalized anxiety disorder (GAD) showed a reduction in anxiety (Hedges’s g = −0.47; 95% CI −0.76, −0.18; Z = −3.15; p = 0.000; I2 = 43.36%). Lifestyle interventions for anxiety in the HADS showed a reduction in anxiety (Hedges’ g = −0.25; 95% CI −0.34, −0.15; Z = −5.13; p = 0.001; I2 = 8.37%). Lifestyle interventions on anxiety in the SCL−90 showed a reduction in anxiety (Hedges’s g = −0.42; 95% CI −0.77, −0.07; Z = −2.34; p = 0.019; I2 = 0%). Lifestyle interventions for anxiety were not significant in the STAI group.
3.7. Lifestyle Intervention and Stress
A meta-analysis of 27 randomized clinical trials of lifestyle interventions on stress showed a reduction in stress, according to which Hedges’ g was equal to −0.22 with a 95% confidence interval −0.34, −0.11 (Z = −3.80; p < 0.001; I2 = 61.40) (Figure 7).
Figure 8 shows a meta-analysis of lifestyle interventions on stress based on different populations. Lifestyle interventions for stress in depressed populations showed a reduction in stress [Hedges’ g = −0.63; 95% CI −0.96, −0.31; Z = −3.79; p < 0.001; I2 = 0%). Lifestyle interventions for stress in the heart-related disease population showed a reduction in stress [Hedges’s g = −0.41; 95% CI −0.64, −0.18; Z = −3.50; p < 0.001; I2 = 0%). Lifestyle interventions for stress in cancer, diabetes, and overweight/obese populations showed that the effects of lifestyle interventions on stress were not significant.
Figure 9 shows a meta-analysis of lifestyle interventions for stress in women. Lifestyle interventions on stress in women showed a reduction in stress [Hedges’ g = −0.20; 95% CI −0.37, −0.03 (Z = −2.25; p = 0.024; I2 = 64.27%). Owing to the insufficient number of studies, a similar meta-analysis on the male population could not be performed.
Figure 10 shows the meta-analysis of lifestyle interventions for stress based on the stress scales. Lifestyle interventions for stress in the DASS showed a reduction in stress [Hedges’ g = −0.31; 95% CI −0.51, −0.10; Z = −2.96 2; p = 0.003; I2 = 59.42%). Lifestyle interventions on stress in the Perceived Stress Scale (PSS) showed a reduction in stress (Hedges’ g = −0.17; 95% CI −0.31, −0.03; Z = −2.45; p = 0.014; I2 = 60.77%]).
3.8. Publication Bias and Heterogeneity
In a meta-analysis of lifestyle interventions on depression, the Q test showed 202.62 (d.f. 88; p < 0.001), and I2 was 56.57%, and showed moderate heterogeneity [59]. The funnel plot in Figure 11 showed that there is a publication bias. Egger’s test indicated p < 0.001 and showed publication bias. The trim-and-fill imputed 14 studies, and the adjusted Hedges’ g was equal to −0.14 with 95% confidence intervals −0.20, −0.08 [64].
In a meta-analysis of lifestyle interventions on anxiety, the Q test showed 112.89 (d.f 47; p < 0.001), and I2 was 59.25%, and showed moderate heterogeneity [59]. The funnel plot in Figure 12 indicates the publication bias. Egger’s test was p = 0.002 and showed publication bias; the trim-and-fill imputed four studies, and Hedges’ g was equal to −0.20 with a 95% confidence interval of −0.29, −0.12 [64].
In a meta-analysis of lifestyle interventions on stress, the Q test showed 67.27 (d.f 26; p < 0.001), and I2 was 61.40%, and showed substantial heterogeneity [59]. The funnel plot in Figure 13 shows no publication bias. The Egger’s test scored p = 0.139 and did not show publication bias; the trim-and-fill test [64] did not impute any study.
4. Discussion
This systematic review and meta-analysis investigated the effects of lifestyle interventions on depression, anxiety, and stress in randomized clinical trials. This study included 96 eligible clinical trials to address research gaps noted in previous meta-analyses.
The results showed that lifestyle interventions led to improvements in depression, anxiety, and stress levels. This means that as people adopt a healthy lifestyle, their mental health improves. The finding related to the effect of lifestyle intervention on depression and anxiety is consistent with studies that have shown this effect [39,40], with the difference that the scope of the current study was much wider, and it was also methodologically strong because previous meta-analysis studies sometimes included clinical trials without a control group, or they combined an individual randomized clinical trial with a cluster. They also used non-parametric statistics, which can reduce the accuracy of the results, and all these factors can lead to weakness. A previous meta-analysis also showed a large effect size for the effect of lifestyle interventions on anxiety; however, that study was limited by the small number of studies included in the meta-analysis and the study population of overweight and obese women [161]. Unlike these previous analyses, our study systematically reviewed and meta-analyzed the impact of stress, which is a novel contribution to this field.
Our findings revealed that lifestyle interventions significantly reduced stress, with pronounced effects in individuals with depression, heart disease, and in women. The considerable role of stress in overall health has driven researchers to explore stress reduction methods over the past decade [162,163,164]. The results showed that lifestyle changes, such as exercise, diet, and improved sleep quality, can effectively reduce stress by lowering cortisol and increasing endorphin levels. Furthermore, the findings suggest that psychological factors, such as increased mindfulness and interoceptive awareness, may mediate these benefits [162,165]. Furthermore, stress and sleep quality are interrelated, and each affects the other in a bidirectional manner [166,167]. Moreover, sleep quality affects stress, and is also affected by stress, forming a vicious loop [168]. Similarly, while a healthy diet seems to reduce stress levels, higher levels of stress have been found to negatively impact diet quality [169]. In such cases, where a causes b, but also b causes a, it is important to target elements of the cycle that can be easier to break, which in such cases may be lifestyle changes rather than stress reductions. Additionally, among the three variables explored in this study (stress, depression, and anxiety), the effect size for lifestyle interventions was the highest for stress, suggesting a more pronounced effect. This further indicates the significance of the findings presented in this study, as stress has a direct impact on human health and influences epigenetic regulation [170]. Despite these negative effects, greater public awareness is required to highlight these direct links [171].
While previous reviews analyzing lifestyle interventions and depression have reported small and moderate effect sizes [43,172], the current review adds to the literature by confirming a modest effect size. In the current study, the effect of lifestyle interventions on depression was significant for individuals with depression, heart-related diseases, diabetes/at-risk diabetes, cancer, and metabolic syndrome, and for women. Interventions, such as healthy eating, increased physical activity, and exercise, have been found to have positive effects. A recent systematic review concluded that even low amounts of physical activity in a week can reduce the risk of developing depression by up to 18% compared to no activity [173].
Interventions based on a healthy lifestyle can affect mental health and reduce depression, anxiety, and stress through several mechanisms. One mechanism for the impact of lifestyle interventions on depression, anxiety, and stress involves neural mechanisms [174]. Physiological factors mediating the effects of physical activity and depression have been well studied, with findings that the effects of physical activity (as a lifestyle component) and antidepressant drugs on the relief of depression can occur through common neuro-molecular mechanisms [175,176] by increasing serotonin and norepinephrine, regulating the hypothalamus–pituitary–adrenal axis, and reducing systemic inflammatory signaling [177,178,179,180]. For anxiety and stress relief, studies have also shown similar neural mechanisms [181,182,183]. which helps reduce anxiety and stress. Healthy nutrition is another lifestyle mechanism that improves mental health [184]. For example, eating foods rich in carbohydrates can lead to diabetes and obesity [185] and. as studies have widely shown, obesity and diabetes are two important risk factors for depression, anxiety, and stress and lead to the deterioration of mental health [24,25,186,187,188,189]. Physiological mediating factors have also been explored to understand the role of a healthy diet in depression and overall affect, with some indications that the microbiome–gut–brain axis may be at its heart [187].
Anxiety: Similar to the findings regarding stress and depression, this study also found that physical activity, nutrition, and psychoeducation improved anxiety. The association between lifestyle interventions and reduced anxiety was prominent among patients with cancer, heart-related diseases, mental disorders, and women. With regard to the effect of physical activity on anxiety and stress relief, studies have also shown similar neural mechanisms [170,171,172], which help reduce anxiety and stress, as reported above. A healthy diet can positively affect anxiety through various mechanisms. These include the role of antioxidants, omega-3 fatty acids, zinc, probiotics, magnesium, and selenium in reducing the symptoms of anxiety disorders (citation). In the case of insufficient antioxidants, for example, oxidative stress has been linked to anxiety through pathways such as alterations in neurotransmission and neuronal function (citation). Moreover, an unhealthy diet can cause depression and anxiety by increasing blood glucose and glycemic load. It has been shown in animal studies that this concentration of high dietary glycemic load “leads to a decrease in plasma glucose to concentrations that trigger the secretion of autonomic counter-regulatory hormones, such as cortisol, adrenaline, growth hormone, and glucagon” [173,174,179]. Therefore, the effectiveness of lifestyle interventions on mental health based on the intensity and type of lifestyle can differ. In the studies included in this meta-analysis, there were differences in the lifestyle methods used, which affected the results of each study. Compared to other mental health interventions, lifestyle-based interventions may not be effective alone in improving mental health problems. Moreover, the effects of lifestyle interventions may not be achieved quickly, and therefore, other treatments, such as psychological and medicinal, also need to be considered. The effectiveness of lifestyle interventions on mental health is known [190], but how the costs and other aspects of this type of intervention compared to other psychological and pharmaceutical treatments compares need comparative study in the future.
Another significant finding was the effect of lifestyle interventions on depression, anxiety, and stress in women, confirming improvements across all three mental health domains. This study also revealed that the effectiveness of lifestyle interventions varied according to the scales used for assessment, with some yielding more significant results than others. Furthermore, the outcomes differed according to the patient population. For instance, depression showed a greater improvement among patients with metabolic disorders, or depression and cancer, whereas anxiety improved the most among those with depression and heart disease. These findings advocate lifestyle interventions as a component of comprehensive mental health care and highlight the need for public education on the connection between lifestyle and mental well-being.
Strengths and Limitations
This study comprehensively reviewed common mental disorders, such as depression, anxiety, and stress, simultaneously in a systematic review and meta-analysis. In previous meta-analyses, different populations were not investigated. However, this distinction was made in this meta-analysis. This is because each population suffers from different diseases that can alter the effects of lifestyle interventions. Investigating gender differences was the study’s focus, and it was able to report results based on women separately; however, owing to the lack of studies, this review could not be performed for men. In addition, this study examined depression, anxiety, and stress based on different scales, which are the most important strengths of this meta-analysis. There are some limitations. These studies have primarily examined the effect of lifestyle interventions on depression and anxiety symptoms but not on depression and anxiety disorders, except for a few cases. Therefore, the generalization of the results to depression, anxiety, and stress disorders is limited. Each clinical trial on lifestyle has used different protocols and, although they have several commonalities, this heterogeneity might also impact the results. Variability in intervention types, such as the nature and intensity of lifestyle modifications, may affect the comparability of results across studies. Furthermore, the use of diverse measurement scales for mental health outcomes, although necessary for comprehensive analysis, introduces potential inconsistencies. Future studies could benefit from standardizing intervention protocols and measurement tools to enhance the comparability and robustness of their findings. Future studies should investigate the long-term impact of lifestyle interventions on mental health outcomes with an emphasis on their influence across broader demographic groups. Furthermore, analyzing subgroups, such as persons with diverse baseline mental health severities or differing socio-economic statuses, could provide more profound insights into the effectiveness and scalability of lifestyle interventions.
5. Conclusions
The findings showed the extent of the effectiveness of lifestyle-based interventions in improving mental health conditions, involving depression, anxiety, and stress. In addition, compared to other psychological and drug treatments, this type of intervention can be less expensive, healthier, and can be performed by more people. Therefore, considering and emphasizing these types of interventions can be highly beneficial and may have a long-term impact.
Conceptualization, S.A. and M.A.K. methodology, S.A. and M.A.K. software, S.A. validation, S.A., N.M., S.F.J. and M.A.K.; formal analysis, S.A. investigation, S.A., N.M., S.F.J. and M.A.K.; resources, S.A., S.F.J. and M.A.K.; data curation, S.A., S.F.J. and M.A.K.; writing—original draft preparation, S.A., S.F.J. and M.A.K.; writing—review and editing, S.A., N.M., S.F.J. and M.A.K.; visualization, S.A. and M.A.K.; supervision S.A., S.F.J. and M.A.K.; project administration, S.A., N.M., S.F.J. and M.A.K.; funding acquisition, S.F.J. and M.A.K. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Data sharing is not applicable. No new data were created or analyzed in this study.
The authors declare no conflicts of interest.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Flowchart diagram of screening studies included in this meta-analysis [51]. * Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). ** If automation tools were used, indicate how m7 any records were excluded by a human and how many were excluded by automation tools.
Figure 2. Forest plot for lifestyle intervention on depression in women [66,70,76,81,85,94,101,102,104,109,120,121,124,125,128,133,137,138,147,150,156,157].
Figure 3. Forest plot of lifestyle intervention on anxiety [65,66,68,71,75,79,80,81,82,83,85,89,90,92,94,96,97,98,102,103,104,107,108,109,110,112,113,117,118,122,124,127,128,129,135,136,138,142,143,150,151,155,157,158,159,160].
Figure 4. Forest plot for lifestyle intervention on anxiety based on diseases [66,68,71,80,81,82,83,90,93,94,96,97,98,102,107,108,109,113,118,122,128,129,135,136,143,150,155,157,158,160].
Figure 5. Forest plot for lifestyle intervention on anxiety in women [66,81,85,94,102,104,109,124,128,138,150,157].
Figure 6. Forest plot for lifestyle intervention on anxiety based on anxiety scales [65,68,71,75,79,80,81,82,83,85,89,90,92,93,94,97,98,102,103,104,107,108,109,112,117,118,122,127,128,129,135,136,138,143,150,155,157,158,159,160].
Figure 7. Forest plot for lifestyle intervention on stress [65,68,69,82,85,87,92,94,96,103,104,109,112,113,117,119,121,122,125,128,130,133,142,145,150,151,161].
Figure 8. Forest plot for lifestyle intervention on stress based on diseases [68,69,82,94,96,113,119,122,125,128,133,145,150].
Figure 9. Forest plot for lifestyle intervention on stress in women [85,87,94,103,109,121,125,128,133,138,150].
Figure 10. Forest plot for lifestyle intervention on stress based on stress scales [65,68,69,82,85,87,94,96,103,109,112,113,117,119,121,122,125,128,130,133,138,142,144,145,147,150,151].
Lifestyle intervention on depression based on diseases.
Number of Studies | Disease | Hedges’s g | Lower Limit | Upper Limit | Z Value | p | I 2 |
---|---|---|---|---|---|---|---|
7 | Cancer | −0.34 | −0.59 | −0.08 | −2.54 | 0.011 | 56.23% |
10 | Depression | −0.44 | −0.62 | −0.26 | −4.82 | 0.000 | 40.46% |
18 | Diabetes/at risk of diabetes | −0.15 | −0.27 | −0.03 | −2.43 | 0.015 | 56.51% |
8 | Heart-related disease | −0.19 | −0.34 | −0.04 | −2.44 | 0.015 | 39.52% |
6 | Other mental disorders | −0.01 | −0.17 | 0.15 | −0.11 | 0.914 | 0% |
2 | Metabolic syndrome | −0.74 | −1.27 | −0.21 | −2.76 | 0.006 | 69.66% |
3 | obstructive pulmonary | −0.14 | −0.33 | 0.05 | −1.44 | 0.151 | 0% |
4 | Older adults | −0.09 | −0.23 | 0.05 | −1.27 | 0.204 | 0% |
4 | Overweight/obesity | 0.03 | −0.19 | 0.24 | 0.25 | 0.802 | 53.18 |
Lifestyle intervention on depression based on depression scales.
Number of Studies | Scale | Hedges’s g | Lower Limit | Upper Limit | Z Value | p | I 2 |
---|---|---|---|---|---|---|---|
15 | Beck Depression Inventory | −0.26 | −0.45 | −0.07 | −2.62 | 0.009 | 73.07% |
12 | Center for Epidemiologic Studies Depression Scale | −0.23 | −0.32 | −0.14 | −4.97 | 0.000 | 12.53% |
14 | Depression anxiety and stress scale | −0.15 | −0.31 | 0.02 | −1.76 | 0.078 | 49.69 |
4 | Edinburgh Postnatal Depression Scale | −0.23 | −0.58 | 0.13 | −1.23 | 0.217 | 89.06% |
3 | Geriatric Depression Scale | −0.31 | −0.71 | 0.10 | −1.49 | 0.136 | 60.71% |
19 | Hospital | −0.25 | −0.35 | −0.14 | −4.62 | 0.000 | 30.95% |
16 | Patient Health | −0.16 | −0.28 | −0.05 | −2.76 | 0.006 | 49.46% |
Appendix A
Keywords used for PubMed, Web of Science, Scopus, and the Cochrane Library and Scopus until August 2023.
Search | Query |
---|---|
PubMed | 34,025 |
#1 | Lifestyle intervention [Text Word] OR Lifestyle modification [Text Word] OR Lifestyle training [Text Word] OR Life Style [Mesh] OR Life Style [Text Word] OR Healthy Lifestyle [Mesh] OR Healthy Lifestyle [Text Word] OR Lifestyle change [Text Word] OR lifestyle behaviors [Text Word] OR Healthy Lifestyle Behaviors [Text Word] |
#2 | Agoraphobia [Mesh] OR Agoraphobia [Text Word] OR Neurotic Disorders [Mesh] OR Neurotic Disorders [Text Word] OR Obsessive-Compulsive Disorder [Mesh] OR Obsessive-Compulsive Disorder [Text Word] OR Hoarding Disorder [Mesh] OR Hoarding Disorder [Text Word] OR Phobic Disorders [Mesh] OR Phobic Disorders [Text Word] OR Social Phobia [Mesh] OR Social Phobia [Text Word] OR generalized anxiety disorder [Mesh] OR generalized anxiety disorder [Text Word] OR post-traumatic stress disorder [Mesh] OR post-traumatic stress disorder [Text Word] OR phobia [Mesh] OR phobia [Text Word] OR specific phobia [Mesh] OR specific phobia [Text Word] OR Panic Disorder [Mesh] OR Panic Disorder [Text Word] OR Obsessive-Compulsive [Mesh] OR Obsessive-Compulsive [Text Word] OR Neurosis [Mesh] OR Neurosis [Text Word] OR Obsessive-Compulsive Neurosis [Mesh] OR Obsessive-Compulsive Neurosis [Text Word] OR GAD [Mesh] OR GAD [Text Word] OR PTSD [Mesh] OR PTSD [Text Word] OR fear [Mesh] OR fear [Text Word] OR Panic [Mesh] OR panic [Text Word] OR anxiety [Mesh] OR anxiety [Text Word] OR Post-Traumatic [Mesh] OR Post Traumatic [Text Word] OR mental disorders [Mesh] OR mental disorders [Text Word] OR Stress [Mesh] OR Stress [Text Word] OR psychiatric disorders [Mesh] OR psychiatric disorders [Text Word] OR Mental illness [Mesh] OR Mental illness [Text Word] OR Depression [Mesh] OR Depression [Text Word] OR Depressive Symptom [Text Word] OR Depressive Disorders [Mesh] OR Depressive Disorders [Text Word] OR Depressive Syndrome [Text Word] OR Depressive Disorder, Major [Mesh] OR Depressive Disorder, Major [Text Word] OR Mood Disorders [Mesh] OR Mood Disorders [Text Word] OR Affective Disorders [Text Word] OR Common mental disorders [Text Word] OR Stress Disorders [Mesh] OR Stress Disorders [Text Word] OR Acute Stress Disorder [Text Word] OR Stress [Text Word] OR Stress, Physiological [Mesh] OR Stress, Physiological [Text Word] OR tension [Text Word] |
Final | #1 AND #2 |
Scopus | 24,470 |
#1 | “Lifestyle intervention” OR “Lifestyle modification” OR “Lifestyle training” OR “Life Style” OR “Healthy Lifestyle” OR “Lifestyle change” OR “lifestyle behaviors” OR “Healthy Lifestyle Behaviors” |
#2 | “Agoraphobia” OR “Anxiety Separation” OR “Neurotic Disorders” OR “Obsessive-Compulsive Disorder” OR “Hoarding Disorder” OR “Phobic Disorders” OR “Social Phobia” OR “generalized anxiety disorder” OR “post-traumatic stress disorder” OR “phobia” OR “specific phobia” OR “Panic Disorder” OR “Obsessive-Compulsive” OR “Neurosis” OR “Obsessive-Compulsive Neurosis” OR “GAD” OR “PTSD” OR “fear” OR “panic” OR “anxiety” OR “Post-Traumatic” OR” mental disorders” OR “Stress” OR “psychiatric disorders” OR “Mental illness” OR “Depression” OR “Depressive Symptom” OR “Depressive Disorders” OR “Depressive Syndrome” OR “Depressive Disorder, Major” OR “Mood Disorders” OR “Affective Disorders” OR “ Common mental disorders” OR “Stress Disorders” OR “Acute Stress Disorder” OR “Stress” OR “Stress, Physiological” OR “Stress, Physiological” OR “Tension” |
Final | #1 AND #2 |
Web of Science | 26,395 |
#1 | TS = (Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors) |
#2 | TS = (Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension) |
Final | #1 AND #2 |
the Cochrane Library | 5673 |
#1 | Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors |
#2 | Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension |
Final | #1 AND #2 |
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Abstract
Background/Objectives: Depression, anxiety, and stress are common mental health issues that affect individuals worldwide. This systematic review and meta-analysis examined the effectiveness of various lifestyle interventions including physical activity, dietary changes, and sleep hygiene in reducing the symptoms of depression, anxiety, and stress. Using stress as an outcome and conducting detailed subgroup analyses, this study provides novel insights into the differential effects of lifestyle interventions across diverse populations. Methods: Five databases were systematically searched: PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar, for gray literature searches. Keywords were used to search each database. The search period was from the conception of the databases until August 2023 and was conducted in English. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Subgroups were analyzed and heterogeneity and publication bias were examined. Results: Ninety-six randomized clinical trial studies were included in this meta-analysis. Lifestyle interventions reduced depression (Hedges g −0.21, 95% confidence interval −0.26, −0.15; p < 0.001; I2 = 56.57), anxiety (Hedges g −0.24, 95% confidence interval −0.32, −0.15; p < 0.001; I2 = 59.25), and stress (−0.34, −0.11; p < 0.001; I2 = 61.40). Conclusions: Lifestyle interventions offer a more accessible and cost-effective alternative to traditional treatments and provide targeted benefits for different psychological symptoms.
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1 Spiritual Health Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran 17166, Iran;
2 Division of Health Research, Lancaster University, Lancaster LA1 4YW, UK;
3 Health and Wellness Research Group, Department of Psychiatry and Behavioral Sciences, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain 15551, United Arab Emirates
4 Health and Wellness Research Group, Department of Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain 15551, United Arab Emirates