DeFREE Research Unit, Department of Psychology, University of Southern Denmark, Odense, Denmark.
Epidemiology, Biostatistics and Biodemography Unit, Department of Public Health, University of Southern Denmark, Odense, Denmark.
J Affect Disord. 2025 Jan 1;368:398-409. doi: 10.1016/j.jad.2024.09.089. Epub 2024 Sep 17.
The network theory posits that depression emerges as the result of individual symptoms triggering each other. Risk factors for depression can impact these between-symptoms interactions through extended networks. The study aimed to model the extended network of depressive symptoms and known depression risk factors - objective cognitive function, intellectual, physical, and social daily activities, and then, compare the observed networks between monozygotic (MZ) and dizygotic (DZ) co-twins.
Twin pairs, 722 MZ and 2200 DZ, aged 40-79, were selected from the Dansh Twin Registry for having complete measures of depressive symptoms (e.g., sadness), cognitive functions (e.g., verbal memory), physical (e.g., brisk walk), intellectual (e.g., reading newspapers) and social activities (e.g., phone calls). Gaussian graphical models were used to estimate and compare the networks first between co-twins and then, between MZ to DZ twin pairs separately.
Specific intellectual, physical and social activities were central in the extended networks of depressive symptoms and, with the exception of processing speed, more central than cognition. The extended networks' structure was more homogeneous between MZ co-twins relative to DZ co-twins. Cognitive nodes were more central in MZ than DZ co-twins.
Cross-sectional design, participants were middle-aged or older, mostly affective (non-somatic) depressive symptoms.
In depression networks, core connecting elements were intellectual, physical and social activities. The interaction between cognition and daily activities seems critical for triggering depressive symptoms. Thus, clinical interventions aimed at preventing depression and associated cognitive deficits should focus on maintenance and/or engagement in stimulating daily activities.
网络理论认为，抑郁是个体症状相互触发的结果。抑郁的风险因素可以通过扩展网络影响这些症状之间的相互作用。本研究旨在构建抑郁症状和已知抑郁风险因素（客观认知功能、智力、身体和社会日常活动）的扩展网络，然后比较同卵（MZ）和异卵（DZ）双胞胎之间的观察网络。
从 Dansh Twin Registry 中选择了年龄在 40-79 岁的 722 对 MZ 和 2200 对 DZ 双胞胎，他们有完整的抑郁症状（如悲伤）、认知功能（如言语记忆）、身体（如快步走）、智力（如阅读报纸）和社会活动（如打电话）的测量数据。使用高斯图形模型来估计和比较双胞胎之间以及 MZ 和 DZ 双胞胎之间的网络。
特定的智力、身体和社会活动是抑郁症状扩展网络的核心，除了处理速度外，它们比认知更核心。MZ 双胞胎之间扩展网络的结构比 DZ 双胞胎更相似。认知节点在 MZ 双胞胎中比 DZ 双胞胎更核心。
横断面设计，参与者为中老年人，主要为非躯体性（情感性）抑郁症状。
在抑郁网络中，核心连接元素是智力、身体和社会活动。认知与日常活动之间的相互作用对于触发抑郁症状似乎至关重要。因此，旨在预防抑郁和相关认知缺陷的临床干预措施应侧重于维持和/或参与刺激日常活动。
