Abstract：
OBJECTIVE: Adolescent behavior is closely linked to personality, a key predictor of physical activity. Due to inconsistent findings on how personality dimensions influence physical activity, focusing on combinations of personality traits is more valuable for theoretical and practical guidance. This study aims to examine potential categories of adolescent personality and their relationship with physical activity.
METHODS: Using data from the 2014-2015 China Education Panel Survey (CEPS), 9212 adolescents reported their \"Big Five\" personality and physical activity levels after excluding samples with missing core values. Latent profile analysis with Mplus 8.3 determined the optimal model by comparing model fits to categorize personality types. Bolck-Croon-Hagenaars (BHC) analysis was used to compared physical activity across personality profiles based on the resulting class differences and its significance.
RESULTS: Latent profile analysis identified five personality trait types among adolescents based on fit indices such as AIC, BIC, aBIC, and Entropy: Low-control conservative group (5.0 %), Balanced development group (45.1 %), Optimistic action group (40.4 %), Independent avoidant group (4.5 %), and Introverted vulnerable group 5.0 %). Significant differences in physical activity were found among these profiles (p < 0.001), with individuals in the Optimistic action group tending to be more physically active and those in the Independent avoidance group being less physically active.
CONCLUSIONS: Adolescent personality can be classified into five categories, and different combinations of personality traits can predict physical activity. The findings help identify adolescents who lack physical activity based on their personality profiles, allowing for the design of targeted psychological interventions to promote exercise motivation and foster healthy exercise habits. However, the study has limitations include a narrow age range and a single evaluation method. Future research could incorporate diverse evaluation methods and long-term tracking.
METHODS: Using data from the 2014-2015 China Education Panel Survey (CEPS), 9212 adolescents reported their \"Big Five\" personality and physical activity levels after excluding samples with missing core values. Latent profile analysis with Mplus 8.3 determined the optimal model by comparing model fits to categorize personality types. Bolck-Croon-Hagenaars (BHC) analysis was used to compared physical activity across personality profiles based on the resulting class differences and its significance.
RESULTS: Latent profile analysis identified five personality trait types among adolescents based on fit indices such as AIC, BIC, aBIC, and Entropy: Low-control conservative group (5.0 %), Balanced development group (45.1 %), Optimistic action group (40.4 %), Independent avoidant group (4.5 %), and Introverted vulnerable group 5.0 %). Significant differences in physical activity were found among these profiles (p < 0.001), with individuals in the Optimistic action group tending to be more physically active and those in the Independent avoidance group being less physically active.
CONCLUSIONS: Adolescent personality can be classified into five categories, and different combinations of personality traits can predict physical activity. The findings help identify adolescents who lack physical activity based on their personality profiles, allowing for the design of targeted psychological interventions to promote exercise motivation and foster healthy exercise habits. However, the study has limitations include a narrow age range and a single evaluation method. Future research could incorporate diverse evaluation methods and long-term tracking.
摘要：
目的：青少年行为与人格密切相关，身体活动的关键预测指标。由于关于人格维度如何影响身体活动的研究结果不一致，注重人格特质的组合更有理论和实践指导价值。这项研究旨在研究青少年人格的潜在类别及其与身体活动的关系。
方法：使用2014-2015年中国教育行业调查(CEPS)的数据，9212名青少年在排除缺少核心价值观的样本后，报告了他们的“大五”人格和身体活动水平。使用Mplus8.3进行的潜在轮廓分析通过比较模型拟合以对人格类型进行分类来确定最佳模型。Bolck-Croon-Hagenaars（BHC）分析用于根据所产生的类别差异及其重要性比较人格特征中的体力活动。
结果：潜在特征分析根据AIC等拟合指数确定了青少年中的五种人格特质类型，BIC,aBIC,和熵：低控制保守组（5.0%），平衡发展组(45.1%),乐观行动组（40.4%），独立回避组（4.5%），和内向弱势群体5.0%)。在这些概况中发现体力活动的显著差异(p<0.001)，乐观行动组中的个体倾向于更多的身体活动，而独立回避组中的个体则较少的身体活动。
结论：青少年人格可以分为五类，人格特征的不同组合可以预测身体活动。这些发现有助于根据人格特征识别缺乏体育锻炼的青少年，允许设计有针对性的心理干预措施，以促进运动动机和培养健康的运动习惯。然而,该研究的局限性包括狭窄的年龄范围和单一的评估方法.未来的研究可以纳入不同的评估方法和长期跟踪。
方法：使用2014-2015年中国教育行业调查(CEPS)的数据，9212名青少年在排除缺少核心价值观的样本后，报告了他们的“大五”人格和身体活动水平。使用Mplus8.3进行的潜在轮廓分析通过比较模型拟合以对人格类型进行分类来确定最佳模型。Bolck-Croon-Hagenaars（BHC）分析用于根据所产生的类别差异及其重要性比较人格特征中的体力活动。
结果：潜在特征分析根据AIC等拟合指数确定了青少年中的五种人格特质类型，BIC,aBIC,和熵：低控制保守组（5.0%），平衡发展组(45.1%),乐观行动组（40.4%），独立回避组（4.5%），和内向弱势群体5.0%)。在这些概况中发现体力活动的显著差异(p<0.001)，乐观行动组中的个体倾向于更多的身体活动，而独立回避组中的个体则较少的身体活动。
结论：青少年人格可以分为五类，人格特征的不同组合可以预测身体活动。这些发现有助于根据人格特征识别缺乏体育锻炼的青少年，允许设计有针对性的心理干预措施，以促进运动动机和培养健康的运动习惯。然而,该研究的局限性包括狭窄的年龄范围和单一的评估方法.未来的研究可以纳入不同的评估方法和长期跟踪。
