{"title":"青少年运动辍学的心理预测因素:潜在风险分析和R3STEP辅助回归。","authors":"Tianzhi Zhan, Lu Liu","doi":"10.3389/fpsyg.2026.1972994","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding why adolescents discontinue organized sport is central to sustaining the physical and mental health benefits of sport participation. Most research has examined psychological correlates of dropout one variable at a time, yet burnout, amotivation, and competitive anxiety may co-occur in meaningful configurations. This study applied a person-centered latent profile analysis (LPA) to identify psychological risk profiles among adolescent athletes and used the R3STEP three-step approach to examine whether dropout status was associated with baseline profile membership over a 12-month follow-up. A total of 864 competitive adolescent athletes (46.5% girls; mean age = 14.6 years, SD = 1.8) from Jiangsu Province, China, completed measures of athlete burnout (emotional/physical exhaustion, reduced sense of accomplishment, sport devaluation), amotivation, and multidimensional competitive anxiety (somatic, worry, concentration disruption). Dropout status was recorded 12 months later. Model selection indices supported a three-profile solution: a low-risk profile (52.8%), characterized by uniformly favorable scores; a moderate-risk profile (33.4%); and a high-risk profile (13.8%), marked by pronounced elevations across all seven indicators. Twelve-month dropout rates rose monotonically across profiles (8.6%, 19.4%, and 35.3%, respectively), χ<sup>2</sup>(2) = 45.87, <i>p</i> < 0.001. In R3STEP analyses controlling for age, sex, and weekly training hours, dropouts were 3.86 times more likely to belong to the high-risk rather than the low-risk profile (OR = 3.86, <i>p</i> < 0.001) and 1.94 times more likely to belong to the moderate-risk profile (OR = 1.94, <i>p</i> < 0.01). Older age and greater weekly training hours were also associated with higher-risk membership. These findings indicate that burnout, amotivation, and anxiety cluster within identifiable subgroups of adolescent athletes, and that membership in a high-risk psychological profile is strongly associated with subsequent sport dropout. These profiles may inform the future development of risk-assessment approaches for retaining adolescent athletes, pending prospective validation of their predictive performance.</p>","PeriodicalId":12525,"journal":{"name":"Frontiers in Psychology","volume":"17 ","pages":"1972994"},"PeriodicalIF":3.8000,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13671941/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychological predictors of sport dropout in adolescents: a latent profile analysis of risk profiles and R3STEP auxiliary regression.\",\"authors\":\"Tianzhi Zhan, Lu Liu\",\"doi\":\"10.3389/fpsyg.2026.1972994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding why adolescents discontinue organized sport is central to sustaining the physical and mental health benefits of sport participation. Most research has examined psychological correlates of dropout one variable at a time, yet burnout, amotivation, and competitive anxiety may co-occur in meaningful configurations. This study applied a person-centered latent profile analysis (LPA) to identify psychological risk profiles among adolescent athletes and used the R3STEP three-step approach to examine whether dropout status was associated with baseline profile membership over a 12-month follow-up. A total of 864 competitive adolescent athletes (46.5% girls; mean age = 14.6 years, SD = 1.8) from Jiangsu Province, China, completed measures of athlete burnout (emotional/physical exhaustion, reduced sense of accomplishment, sport devaluation), amotivation, and multidimensional competitive anxiety (somatic, worry, concentration disruption). Dropout status was recorded 12 months later. Model selection indices supported a three-profile solution: a low-risk profile (52.8%), characterized by uniformly favorable scores; a moderate-risk profile (33.4%); and a high-risk profile (13.8%), marked by pronounced elevations across all seven indicators. Twelve-month dropout rates rose monotonically across profiles (8.6%, 19.4%, and 35.3%, respectively), χ<sup>2</sup>(2) = 45.87, <i>p</i> < 0.001. In R3STEP analyses controlling for age, sex, and weekly training hours, dropouts were 3.86 times more likely to belong to the high-risk rather than the low-risk profile (OR = 3.86, <i>p</i> < 0.001) and 1.94 times more likely to belong to the moderate-risk profile (OR = 1.94, <i>p</i> < 0.01). Older age and greater weekly training hours were also associated with higher-risk membership. These findings indicate that burnout, amotivation, and anxiety cluster within identifiable subgroups of adolescent athletes, and that membership in a high-risk psychological profile is strongly associated with subsequent sport dropout. These profiles may inform the future development of risk-assessment approaches for retaining adolescent athletes, pending prospective validation of their predictive performance.</p>\",\"PeriodicalId\":12525,\"journal\":{\"name\":\"Frontiers in Psychology\",\"volume\":\"17 \",\"pages\":\"1972994\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2026-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13671941/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.3389/fpsyg.2026.1972994\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3389/fpsyg.2026.1972994","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
了解青少年停止有组织的体育运动的原因,对于维持参与体育运动对身心健康的益处至关重要。大多数研究一次只考察了一个变量与辍学的心理关系,但在有意义的配置中,倦怠、动机和竞争焦虑可能同时发生。本研究采用以个人为中心的潜在特征分析(LPA)来确定青少年运动员的心理风险特征,并使用R3STEP三步法在12个月的随访中检查退学状态是否与基线特征成员相关。对来自中国江苏省的864名青少年竞技运动员(46.5%为女孩,平均年龄14.6岁,SD = 1.8)进行了运动员倦怠(情绪/身体衰竭、成就感降低、运动贬值)、动机和多维竞技焦虑(躯体、担忧、注意力中断)的测量。12个月后记录辍学状态。模型选择指标支持三剖面方案:低风险剖面(52.8%),其特征是得分一致有利;中度风险(33.4%);高危人群(13.8%),七项指标均显著升高。12个月辍学率在各剖面上单调上升(分别为8.6%、19.4%和35.3%),χ2(2) = 45.87, p < 0.001。在控制年龄、性别和每周训练时间的R3STEP分析中,退赛者属于高风险组的可能性是低风险组的3.86倍(OR = 3.86, p < 0.001),属于中等风险组的可能性是1.94倍(OR = 1.94, p < 0.01)。年龄越大,每周训练时间越长,成为会员的风险也越大。这些发现表明,倦怠、动机和焦虑在青少年运动员的可识别亚组中聚集,并且高危心理特征的成员与随后的运动退学密切相关。这些概况可能为未来发展的风险评估方法提供信息,以保留青少年运动员,等待他们的预测性能的前瞻性验证。
Psychological predictors of sport dropout in adolescents: a latent profile analysis of risk profiles and R3STEP auxiliary regression.
Understanding why adolescents discontinue organized sport is central to sustaining the physical and mental health benefits of sport participation. Most research has examined psychological correlates of dropout one variable at a time, yet burnout, amotivation, and competitive anxiety may co-occur in meaningful configurations. This study applied a person-centered latent profile analysis (LPA) to identify psychological risk profiles among adolescent athletes and used the R3STEP three-step approach to examine whether dropout status was associated with baseline profile membership over a 12-month follow-up. A total of 864 competitive adolescent athletes (46.5% girls; mean age = 14.6 years, SD = 1.8) from Jiangsu Province, China, completed measures of athlete burnout (emotional/physical exhaustion, reduced sense of accomplishment, sport devaluation), amotivation, and multidimensional competitive anxiety (somatic, worry, concentration disruption). Dropout status was recorded 12 months later. Model selection indices supported a three-profile solution: a low-risk profile (52.8%), characterized by uniformly favorable scores; a moderate-risk profile (33.4%); and a high-risk profile (13.8%), marked by pronounced elevations across all seven indicators. Twelve-month dropout rates rose monotonically across profiles (8.6%, 19.4%, and 35.3%, respectively), χ2(2) = 45.87, p < 0.001. In R3STEP analyses controlling for age, sex, and weekly training hours, dropouts were 3.86 times more likely to belong to the high-risk rather than the low-risk profile (OR = 3.86, p < 0.001) and 1.94 times more likely to belong to the moderate-risk profile (OR = 1.94, p < 0.01). Older age and greater weekly training hours were also associated with higher-risk membership. These findings indicate that burnout, amotivation, and anxiety cluster within identifiable subgroups of adolescent athletes, and that membership in a high-risk psychological profile is strongly associated with subsequent sport dropout. These profiles may inform the future development of risk-assessment approaches for retaining adolescent athletes, pending prospective validation of their predictive performance.
期刊介绍:
Frontiers in Psychology is the largest journal in its field, publishing rigorously peer-reviewed research across the psychological sciences, from clinical research to cognitive science, from perception to consciousness, from imaging studies to human factors, and from animal cognition to social psychology. Field Chief Editor Axel Cleeremans at the Free University of Brussels is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. The journal publishes the best research across the entire field of psychology. Today, psychological science is becoming increasingly important at all levels of society, from the treatment of clinical disorders to our basic understanding of how the mind works. It is highly interdisciplinary, borrowing questions from philosophy, methods from neuroscience and insights from clinical practice - all in the goal of furthering our grasp of human nature and society, as well as our ability to develop new intervention methods.