一般疾病因素:儿童和青少年精神和身体疾病统一维度的证据。

IF 4.9 0 PSYCHIATRY
Miguel Garcia-Argibay, Valerie Brandt, Hongyi Sun, Marco Solmi, Paul Lichtenstein, Henrik Larsson, Samuele Cortese
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引用次数: 0

摘要

背景:了解精神和身体健康状况之间的关系对于制定全面的医疗保健策略至关重要。假定存在一种导致身体和精神状况脆弱性的一般疾病因素(d因素),可能对我们的健康评估和治疗方法产生重要影响。目的:探讨儿童和青少年中通用d因子的存在及特点。方法:这项瑞典基于登记的横断面研究纳入了1996年至2003年出生的儿童和青少年,随访至2013年。我们根据ICD-10系统提取了25种精神和身体健康状况的数据。为了确定这些条件下的最佳尺寸结构,测试了几种相互竞争的测量模型,包括相关因素、单因素、各种双因素规格和双因素探索性结构方程模型(ESEM)。结果:研究队列纳入776 667例个体(平均年龄13.96岁,IQR=11.96 ~ 16.04;51%的男性)。与其他模型相比,双因子ESEM模型(包括一般d因子和特定身心健康因素)提供了最佳的数据拟合(比较拟合指数=0.971,Tucker-Lewis指数=0.962,近似均方根误差=0.007(0.007-0.007))。d因子占显著方差(ωh=0.582,解释共同方差(ECV)=0.498),而特定心理(ωhs=0.377, ECV=0.373)和生理(ωhs=0.423;ECV=0.130)因子也表明了其他显著的独特贡献。结论:本研究为儿童和青少年健康的多维结构提供了证据,其特征是心理和身体状况背后的一般d因素,以及不同领域的特定因素。这些发现对临床实践具有重要意义,提供了证据,表明需要更综合的健康评估和治疗方法,考虑到精神和身体健康的相互联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

General disease factor: evidence of a unifying dimension across mental and physical illness in children and adolescents.

General disease factor: evidence of a unifying dimension across mental and physical illness in children and adolescents.

Background: Understanding the relationship between mental and physical health conditions is crucial for developing comprehensive healthcare strategies. The putative existence of a general disease factor (d-factor) that underlies the vulnerability to both physical and mental conditions could have important implications for our approach to health assessment and treatment.

Objective: To investigate the presence and characteristics of a general d-factor in children and adolescents.

Methods: This Swedish registry-based cross-sectional study included children and adolescents born between 1996 and 2003 with follow-up until 2013. We extracted data on 25 mental and physical health conditions according to the ICD-10 system. To determine the optimal dimensional structure of these conditions, several competing measurement models were tested, including correlated factors, one factor, various bifactor specifications and bifactor exploratory structural equation modelling (ESEM).

Findings: The study cohort included 776 667 individuals (mean age 13.96 years, IQR=11.96-16.04; 51% male). The bifactor ESEM model, including a general d-factor and specific mental and physical health factors, provided the best fit to the data compared to alternative models (Comparative Fit Index=0.971, Tucker-Lewis Index=0.962, root mean square error of approximation=0.007 (0.007-0.007)). The d-factor accounted for substantial variance (ωh=0.582, explained common variance (ECV)=0.498), while specific mental (ωhs=0.377, ECV=0.373) and physical (ωhs=0.423; ECV=0.130) factors also indicated additional significant unique contributions.

Conclusions: This study provided evidence for a multidimensional structure of health in children and adolescents, characterised by a general d-factor underlying both mental and physical conditions, alongside distinct domain-specific factors. These findings have important implications for clinical practice, providing evidence that suggests the need for more integrated approaches to health assessment and treatment that consider the interconnectedness of mental and physical health.

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