Texas — The Professional Bull Riders (PBR) has announced the 44-rider field for the 2025 Pendleton Whisky Velocity Tour Finals in Corpus Christi where competitors will vie for the Velocity Tour Championship Brazilian rider Afonso Quintino currently leads the standings with Bob Mitchell in second place and reigning champion Grayson Cole sitting sixth with a chance to make history as the first-ever back-to-back Velocity Tour Champion The field features five riders currently ranked in the top 20 of the 2025 PBR World Championship race who returns as the defending Velocity Tour Finals Event Champion who is competing in just his second event of 2025 after breaking his femur in November The championship event at American Bank Center Arena culminates a successful season that welcomed more than 362,000 fans and featured 18 sold-out event days Riders will compete for their share of the $100,000 event purse with a maximum of 320 Velocity Global points available The Velocity Tour Finals represents the final opportunity for five riders to qualify for the PBR World Finals: Unleash The Beast which will feature a three-stage format beginning with Eliminations in Fort Worth followed by the Championship at AT&T Stadium in Arlington with a last-chance Ride For Redemption for those who don't advance directly Afonso Quintino (Sao Luis dos Montes Belos Jean Carlos Teodoro (Mirante Do Paranapanema This story was reported by a journalist and has been converted to this platform with the assistance of AI Our editorial team verifies all reporting on all platforms for fairness and accuracy For the latest local news updates, click here, or download the KRIS 6 News App. Catch all the KRIS 6 News stories and more on our YouTube page Metrics details The objectives of this systematic review were to estimate the prevalence of depression and to identify the relationship between depression and quality of life (QOL) among high school and university students Literature search was performed in the Scopus The results were presented through descriptive approaches and meta-analysis Thirty-six studies met the eligibility criteria and twenty-six were included in the meta-analysis The prevalence of depressive symptoms was 27% (95% CI 0.21–0.33) among students being high school and university students was 25% (95% CI 0.14–0.37) and 27% (95% CI 0.20–0.34) and most studies have shown that depression was associated with low QOL Among the limitations of the study is the difficulty of generalizing the results found considering the large sample of health students New studies should be conducted considering the severity and patterns of depressive symptoms in high school and university students to better understand the relationship between depression and QOL the objectives of this study are: (1) to estimate the prevalence of depression among high school and university students and (2) to identify the relationship between depression and QOL among high school and university students through a systematic review of the literature and a meta-analysis we aimed to summarize the evidence of the influence of depression and QOL on academic performance and school dropout rates among these students The consolidation of these findings is essential to identify and clarify the risk factors for depression among adolescents and young people it will be possible to guide future research and interventions focusing on improving students' mental health The main research questions guiding this systematic review are “What is the prevalence of depression among high school and university students?” and “What is the evidence on the relationship between depression and QOL among high school and university students?” The secondary question guiding this review is “What are the influences of depression and QOL on academic performance and school dropout rates among high school and university students?” If the high prevalence of depression among high school and university students is related to self-perception of quality of life it is possible that this relationship is determined by specific dimensions of QOL and manifests itself in different ways among students As the analysis was based on published articles (secondary data) and school dropout rates were also analyzed as secondary outcomes showed that publications and the production of research citations in this area were significantly increasing from 2011 onwards Table 1 shows the search strategy adapted to the different databases The search strategy was also complemented by: (a) tracking of the references of the included studies and relevant systematic reviews The main search keywords were: “high school students” “depression” (exposure/outcome) and “quality of life” (exposure/outcome) The age was extended to 33 years because the average age of university students is higher in recent years and articles in which the full text could not be retrieved in online databases or by e-mails sent to the author(s) of the study; (b) studies with specific populations (pregnant and breastfeeding women and disabled people; in disaster situations and hypertensive people; patients with HIV among other chronic diseases); (c) studies with samples of mixed ages organized or calculated separately; (d) incomplete data on the association between depression and QOL; (e) clinical trials and case–control studies; and (f) when more than one article provided data on the same sample Flow diagram of the selection criteria for the study Flowchart: Adapted from the PRISMA 2020 Flow Diagram and publication bias might decrease the quality of the evidence of the studies and the presence of confounders in the reduction of the effect found are factors that could increase the quality of the evidence in the studies we assessed whether the authors provided a statement on conflicts of interest and information on ethical approval The following information was collected from the studies using a standard data extraction spreadsheet: authors characteristics of the participants (sample size instruments for the assessment of depression with respective cutoff points Data regarding the prevalence of depression and association measures were collected in addition to other additional results that refer to factors associated with depression and QOL The results were categorized into two groups: (a) high school students and (b) university students Data were collected and evaluated by two independent researchers (reviewer 1 and reviewer 4) and disagreements were resolved by a third researcher (reviewer 2) The prevalence of depression and the results of the association between depression and QOL among students are presented as the main outcomes The results of the prevalence of depression in the studies analyzed were presented according to the intensity of depressive symptoms The different QOL domains evaluated were also considered in synthesizing the evidence including additional variables that are associated with students’ depression and QOL We also described whether the studies presented results on the influence of depression and QOL on academic performance the differences between the sexes and age groups in terms of the prevalence of depression and the level of QOL among the students were compared A meta-analysis was conducted using the random effects model with data on the prevalence of depression among high school students The data are graphically displayed in Forest plots showing prevalence rates with their 95% confidence intervals (CIs) Publication bias was evaluated using Egger’s test All analyses were conducted using Stata version 16.0 (StataCorp LLC No study evaluated the possible influences of depression and QOL on academic performance The characteristics and main results are presented separately for the evaluation of depression and QOL among students prevalence of depression and its relationship with QOL among students other factors associated with depression and QOL among students in which the prevalence of depressive symptoms was categorized into mild Figure 2 shows the combined prevalence of depression among high school students and depression among university students. The combined prevalence of depression among students was 27% (95% CI 0.21–0.33). The prevalence of depression among High school students was 25% (95% CI 0.14–0.37). The prevalence of depression among university students was 27% (95% CI 0.20–0.34). Forest plot evaluating the prevalence of depression in students There was a high level of statistical heterogeneity (I2 = 99.40% Heterogeneity had an influence on the result of the analysis Evidence of publication bias in the meta-analysis of the combined prevalence was found using the Egger’s regression test (p = 0.000) The present study systematically estimated the prevalence of depression and summarized the relationship between depression and QOL among high school and university students The prevalence of depressive symptoms was 27% among students and most studies have shown that depressive symptoms was associated with a low QOL Despite being relevant to research involving students the studies did not evaluate the influence of depression and QOL on academic performance rates lower compared to those found in the present review The influence of different degrees of depressive symptoms may also compromise the analysis of results but studies do not provide enough data to support this statement these findings are limited in clarifying the wide and complex relationship between depression and QOL among students mainly with longitudinal design and with quality evidence This can also be explained by the fact that different instruments are used in the evaluation of QOL and by adverse cultural or social factors The strengths of this study include the specific assessment of depression to the detriment of a wide scope of mental health problems which allows a particular analysis of its relationship with QOL Results from the analysis of conflicts of interest and ethical approvals which are often omitted from the assessments A meta-analysis was conducted to provide a general estimate of the prevalence of depression among high school and university students this is the first systematic review that summarizes the evidence on the relationship between depression and QOL among high school and university students allowing us to clarify the gaps in the literature and propose recommendations for future research this is the first study that intended to analyze academic consequences the studies included in this review did not analyze these aspects which indicate a lack of research on the academic consequences from the perspective of the relationship between depression and QOL Depression is associated with the QOL of students; however the relationship between depression and QOL is not clear yet There is a need to understand whether QOL can affect the nature and intensity of depressive symptoms and the real impact of depressive symptoms on different QOL domains The consolidation of these findings is fundamental to a more effective and integrated orientation of public health and education policies focusing on promoting mental health and improving the students’ QOL The multidimensional aspect that refers to the students’ mental health and QOL should be considered from a multidisciplinary and global conception with the participation of health professionals 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Quality of Life (QoL) among medical students in Saudi Arabia: A study using the WHOQOL-BREF instrument sedentary behaviours and duration of sleep as factors affecting the well-being of young people against the background of environmental moderators Download references The authors thank the Federal Institute of Education Science and Technology of Goiano (IF Goiano) for funding this research and the Child and Adolescent Health Research Group (GPSaCA) Priscilla Rayanne e Silva Noll & Matias Noll Rede Estadual e Municipal de Educação de São Luís de Montes Belos and M.N.; writing—original draft preparation All authors have read and agreed to the published version of the manuscript The authors declare no competing interests Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations Download citation DOI: https://doi.org/10.1038/s41598-023-33584-3 Anyone you share the following link with will be able to read this content: a shareable link is not currently available for this article Sign up for the Nature Briefing newsletter — what matters in science