Universidade Federal de Santa Maria, Departamento de Neuropsiquiatria, Avenida Roraima 1000, Santa Maria, 97105-900, Brazil; Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil; Hospital de Clínicas de Porto Alegre, Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil.
Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, R Dr Ovidio Pires de Campos 785, 2o andar, 05403-000, São Paulo, Brazil.
J Psychiatr Res. 2021 May;137:117-125. doi: 10.1016/j.jpsychires.2021.02.052. Epub 2021 Mar 1.
The associations of anxiety and depression with metabolic syndrome (MetS) are not consistent across studies. Anxiety and depression are highly correlated and traditional methods don't take the structure of this correlation into account. Our aim is to disentangle the relationship of these emotional conditions with MetS, using bifactor models, modelling both general and specific aspects between anxiety and depression.
Bifactor models were tested using the baseline data from the Brazilian Longitudinal Study of Adult Health (n = 13,584). Anxiety and depression were accessed with the Clinical Interview Schedule - Revised. MetS was measured through assessment of its continuous components.
A bifactor S-1 model better represent the 14 CIS-R indicators, composed by an internalizing factor corresponding to depressive symptoms, anxiety, worry and the shared variance of all remaining CIS-R indicators, and also by residual variance explained by a somatic (e.g., fatigue and pain) and fear (e.g., panic and phobias) specific factors. Internalizing spectrum (β = 0.116; p < 0.001) and the fear specific factor (β = 0.060; p = 0.008) were associated with MetS after adjusting for confounders, whereas somatic specific factor was unlikely to be associated with MetS (β = 0.002; p = 0.934).
Anxiety and depression indicators were associated with MetS via a shared internalizing factor and also by a residual fear factor, but not by somatic residual factor. This finding has potential implications about shared biological and behavioral mechanisms that may link emotional conditions with MetS in adults.
焦虑和抑郁与代谢综合征（MetS）的关联在不同的研究中并不一致。焦虑和抑郁高度相关，传统方法没有考虑到这种相关性的结构。我们的目的是使用双因素模型，通过对焦虑和抑郁之间的一般和特定方面进行建模，来理清这些情绪状况与 MetS 的关系。
使用巴西成人健康纵向研究（n=13584）的基线数据测试了双因素模型。焦虑和抑郁通过临床访谈时间表 - 修订版进行评估。通过评估其连续成分来测量 MetS。
S-1 双因素模型更好地代表了 14 项 CIS-R 指标，由一个对应于抑郁症状、焦虑、担忧和所有剩余 CIS-R 指标的共同方差的内在因素组成，以及由躯体（例如疲劳和疼痛）和恐惧（例如恐慌和恐惧症）特定因素解释的剩余方差组成。内在谱（β=0.116；p<0.001）和恐惧特定因素（β=0.060；p=0.008）在调整混杂因素后与 MetS 相关，而躯体特定因素与 MetS 不太可能相关（β=0.002；p=0.934）。
焦虑和抑郁指标通过共同的内在因素和剩余的恐惧因素与 MetS 相关，但与躯体剩余因素无关。这一发现可能对可能将情绪状况与成年人 MetS 联系起来的共同生物和行为机制具有潜在意义。
