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<p>Wellbeing has received increasing attention in research and practice, yet its complex structure remains insufficiently explored. Most studies rely on latent-variable models that treat wellbeing components as independent, failing to account for the covariation widely observed among them. Adopting a systems perspective, this study investigates the network structure of wellbeing and identifies its most influential components. The network analysis was applied to the Wellbeing Profiler 15, a theory-driven measure that comprises 15 wellbeing constituents: autonomy, competence, clarity of thinking, empathy, engagement, emotional stability, meaning, optimism, prosocial behavior, positive emotions, positive relationships, resilience, self-acceptance, self-esteem, and vitality. The dataset consists of a large sample of Chinese adolescents (<i>N</i> = 1093). The results revealed a highly interconnected network, with resilience, competence, and self-esteem emerging as the most influential components, while empathy and self-acceptance showed lower influence within the network. Our findings expand the understanding of the complex structure of wellbeing in an underrepresented cultural context and highlight the potential for targeted interventions focused on key constituents, such as resilience, to achieve synergistic improvements in adolescent wellbeing.</p>

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Mapping the structure of wellbeing from a systems perspective: A network analysis of 15 constituents in Chinese adolescents

  • 期刊论文

  • 发表日期：

    2025年9月20日

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  • Shiguang Ni,
  • Yaxian Xue,
  • Wei Yao,
  • Hanchao Hou,
  • Pusheng Wang

摘要

Wellbeing has received increasing attention in research and practice, yet its complex structure remains insufficiently explored. Most studies rely on latent-variable models that treat wellbeing components as independent, failing to account for the covariation widely observed among them. Adopting a systems perspective, this study investigates the network structure of wellbeing and identifies its most influential components. The network analysis was applied to the Wellbeing Profiler 15, a theory-driven measure that comprises 15 wellbeing constituents: autonomy, competence, clarity of thinking, empathy, engagement, emotional stability, meaning, optimism, prosocial behavior, positive emotions, positive relationships, resilience, self-acceptance, self-esteem, and vitality. The dataset consists of a large sample of Chinese adolescents (N = 1093). The results revealed a highly interconnected network, with resilience, competence, and self-esteem emerging as the most influential components, while empathy and self-acceptance showed lower influence within the network. Our findings expand the understanding of the complex structure of wellbeing in an underrepresented cultural context and highlight the potential for targeted interventions focused on key constituents, such as resilience, to achieve synergistic improvements in adolescent wellbeing.