发表机构
University of Amsterdam; Amsterdam UMC, University of Amsterdam; Amsterdam UMC, Vrije Universiteit Amsterdam（阿姆斯特丹大学; 阿姆斯特丹大学医学中心，阿姆斯特丹大学; 阿姆斯特丹大学医学中心，自由大学阿姆斯特丹）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出慢-快视角，将抑郁症状视为快速系统嵌入持久情境中，通过阿姆斯特丹队列数据发现高慢风险负荷组症状激活更高，主张网络结构、激活与情境应联合考虑。
AI 中文摘要
在社会和经济环境上存在差异的群体，其抑郁症状水平往往显著不同，然而他们估计出的症状网络却显示出很少的清晰差异。此类零结果通常被解读为这些群体的症状系统相同的证据，但它们仅表明在症状如何相互作用方面未检测到差异。症状变得易于出现的程度，以及这在多大程度上取决于观察它们时所处的情境条件，很少被比较。基于慢-快视角，我们将抑郁症状视为一个相对快速变化的系统，该系统嵌入在更持久的社会、经济、心理社会、健康和生活方式条件中，这些条件塑造了症状的激活。利用来自阿姆斯特丹的23,689名成年人的队列，我们通过PHQ-9抑郁症状和一个我们称之为慢风险负荷（SRL）的复合指数（涵盖持续的社会经济、心理社会和健康相关条件）来说明这一点。高SRL参与者的症状水平显著高于低SRL参与者。标准的网络比较检验未检测到网络结构的总体差异，尽管高SRL组的全局强度略高。Ising模型将症状如何共现与每个症状变得易于出现的程度分离开来，表明在高SRL下九个症状中有八个的激活更高，且模型比较一致地支持群体特异性激活而非群体特异性交互。慢-快视角将群体网络比较重新定义为多时间尺度问题，其中网络结构、症状激活和情境应被联合考虑。它将以症状为中心和以情境为中心的干预措施置于同一耦合系统的不同层面，而非相互竞争。
英文摘要
Groups differing in social and economic circumstances often differ markedly in depressive symptom levels, yet their estimated symptom networks show few clear differences. Such null results are often read as evidence that the groups' symptom systems are the same, but they only show that no difference was detected in how symptoms interact. How readily symptoms become present, and how this depends on the contextual conditions under which they are observed, is rarely compared. Building on a slow-fast perspective, we treat depressive symptoms as a relatively fast-changing system embedded in more persistent social, economic, psychosocial, health, and lifestyle conditions that shape symptom activation. Using a cohort of 23,689 adults from Amsterdam, we illustrate this with PHQ-9 depressive symptoms and a composite index of persistent socioeconomic, psychosocial, and health-related conditions, which we call Slow Risk Load (SRL). Participants with high SRL had substantially higher symptom levels than those with low SRL. A standard Network Comparison Test detected no overall difference in network structure, although global strength was modestly higher in the high-SRL group. Ising models, which separate how symptoms co-occur from how readily each becomes present, indicate higher activation under high SRL for eight of nine symptoms, and model comparison consistently favored group-specific activation over group-specific interactions. The slow-fast perspective reframes group network comparisons as a multiple-timescale problem in which network structure, symptom activation, and context should be considered jointly. It places symptom-focused and context-focused interventions at different layers of the same coupled system rather than in competition.
