Network analysis in clinical research

Ramos-Vera, Cristian; Serpa, Antonio

doi:10.15446/revfacmed.v70n1.94407

Cited by 5 publications

(9 citation statements)

References 22 publications

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“…This is important since excessive clustering of symptoms in different domains can lead to a lack of clarity in the representation of the two mental health diagnoses considered by the DSM-V, which are represented as the interaction of all their signs and symptoms together within a given period 67 . The results refer to greater precision and interpretation based on transdiagnostic models between two emotional disorders such as anxiety and depression 28 , 68 , given that the methodology used allows studying these mental health problems as systems 17 , 69 , 70 .…”

Section: Discussionmentioning

confidence: 91%

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Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom

Ramos-Vera,

García O’Diana,

Basauri-Delgado

et al. 2024

Sci Rep

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The health crisis caused by COVID-19 in the United Kingdom and the confinement measures that were subsequently implemented had unprecedented effects on the mental health of older adults, leading to the emergence and exacerbation of different comorbid symptoms including depression and anxiety. This study examined and compared depression and anxiety symptom networks in two specific quarantine periods (June–July and November–December) in the older adult population in the United Kingdom. We used the database of the English Longitudinal Study of Aging COVID-19 Substudy, consisting of 5797 participants in the first stage (54% women) and 6512 participants in the second stage (56% women), all over 50 years of age. The symptoms with the highest centrality in both times were: “Nervousness (A1)” and “Inability to relax (A4)” in expected influence and predictability, and “depressed mood (D1”; bridging expected influence). The latter measure along with "Irritability (A6)" overlapped in both depression and anxiety clusters in both networks. In addition, a the cross-lagged panel network model was examined in which a more significant influence on the direction of the symptom "Nervousness (A1)" by the depressive symptoms of "Anhedonia (D6)", "Hopelessness (D7)", and "Sleep problems (D3)" was observed; the latter measure has the highest predictive capability of the network. The results report which symptoms had a higher degree of centrality and transdiagnostic overlap in the cross-sectional networks (invariants) and the cross-lagged panel network model of anxious and depressive symptomatology.

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Section: Discussionmentioning

confidence: 91%

“…Furthermore, it is possible to draw inferences about comorbidity of symptoms by analyzing the most central items or symptoms in the network. These central symptoms can activate other symptoms and are crucial for maintaining the stability of the psychopathological system 17 , 18 .…”

Section: Introductionmentioning

confidence: 99%

Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom

Ramos-Vera,

García O’Diana,

Basauri-Delgado

et al. 2024

Sci Rep

Self Cite

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“… 40 To estimate the GGM, the absolute minimum selection and shrinkage operator or graphical LASSO method, which represents the dispersion of the nodes and describes the data with parsimony, was used. 37 , 41 …”

Section: Methodsmentioning

confidence: 99%

“…In addition, measures of bridge expected influence were reported, which reflected the importance of the nodes in the network based on the number of positive and/or negative connections. 41 , 42 On the other hand, the predictability index provides evidence of which nodes are predicted by others in a network model, given the variance explained (R2). 37 , 43 To strengthen the results, nonparametric tests of edge estimation accuracy were performed based on 1500 samples (bootstrapping).…”

Section: Methodsmentioning

confidence: 99%

Network Analysis of Dark Triad Traits and Emotional Intelligence in Peruvian Adults

Ramos-Vera,

Calle,

Calizaya-Milla

et al. 2023

PRBM

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Background The study of Dark Triad traits and emotional variables has been conducted in numerous regions; however, there is a lack of research focusing on Latin American samples and considering variables such as sex and age. Incorporating these variables could enhance our understanding of underlying aversive patterns. Purpose This study aimed to analyze the associations between Dark Triad traits and emotional intelligence in Peruvian adults. Methods Data were collected in 2021 and 272 adults (M=31.8 years, 68% female) participated through online surveys via non-probability purposive sampling. Dirty Dozen and Trait Meta-Mood Scales were used. Two partial correlation network models were applied between the study variables with and without controlling for gender and age. Bridge-expected influence and predictability analysis were calculated to find interconnected traits and higher connections, respectively. Results Subclinical psychopathy primarily showed negative associations with emotional clarity (r=−0.17), followed by emotional attention (r=−0.08) and emotional repair in networks with and without age and gender variables. Machiavellianism consistently displayed a negative association with emotional repair (r=−0.13) in both estimated networks. Conversely, subclinical narcissism exhibited a positive association solely with emotional attention (r=0.15). Furthermore, younger age was linked to higher Machiavellianism (r=−0.23), females showed higher emotional attention (r=0.11), and narcissism connected intrapersonal emotional domains with Dark Traits (bridge expected influence >1.25) while Machiavellianism exhibited greater predictability (r 2 >0.45) due to reinforcement by other Dark Traits. Conclusion This study revealed negative connections between the Dark Triad and emotional intelligence traits, except for narcissism, which was positively associated with emotional attention and functioned as a “bridge” between all traits. However, relying solely on this single positive emotional aspect of narcissism may not be adequate to characterize it as possessing fully adaptive emotional traits. Findings suggest that detailed aspects of emotional intelligence and sociodemographic factors can provide valuable insights into the complex nature of aversive patterns and their broader impact on society.

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“…Los bordes indican correlaciones parciales regularizadas entre las variables psicológicas, es decir, se controlan las relaciones con otros componentes de la red, lo que evita asociaciones espurias entre ellos (Epskamp & Fried, 2018;Waldorp & Marsman, 2021). Para identificar aquellos dominios con mayor número y magnitud de conexiones que influyen en otras comunidades de la red, se reportaron las medidas de influencia esperada puente (Jones et al, 2021;Ramos-Vera & Serpa-Barrientos, 2022). Igualmente, para reforzar los hallazgos de nodos relevantes en la red, utilizamos el método de Clique-Percolation, que detecta aquellos nodos que pertenecen a varios grupos o comunidades simultáneamente (Lange, 2021).…”

Section: Análisis De Datosunclassified

Centralidad y asociaciones entre la tríada oscura, inteligencia emocional rasgo y distancia social durante la pandemia de COVID-19 en Perú: un análisis de redes

Calle,

Ramos-Vera,

Serpa-Barrientos

2024

CienciasPsi

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Pocos estudios en Sudamérica han examinado rasgos de personalidad que tuvieron impacto a nivel individual y social durante la pandemia. El objetivo del estudio fue identificar las variables centrales y asociaciones parciales en una red entre la tríada oscura, inteligencia emocional rasgo y distancia social durante la pandemia, y variables demográficas. Se hipotetizó a la edad como posible variable central en la red, y la relación negativa entre la tríada oscura con la distancia social y la inteligencia emocional rasgo, excepto el narcisismo. Se utilizó un muestreo no probabilístico donde participaron 311 adultos (M = 33.95 años, 65 % mujeres). Mediante encuestas en línea, se aplicaron las escalas Dirty Dozen Dark Triad, Trait Meta-Mood Scale y datos demográficos. La atención emocional fue clave al conectar la tríada oscura y la inteligencia emocional. Además, favoreció la adherencia a la distancia social, mientras lo inverso sucedió con el maquiavelismo. Los dominios de la tríada oscura e inteligencia emocional tuvieron asociación negativa, excepto por el narcisismo, que mostró una conexión positiva con la atención emocional. En síntesis, durante la pandemia, la evaluación de la atención a las emociones fue crucial para entender las motivaciones aversivas sociales y promover la adhesión al distanciamiento social. En contraste, debe investigarse más el maquiavelismo, que se asoció a los jóvenes, y no contribuyó a la normativa social de salud pública.

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Network analysis in clinical research

Cited by 5 publications

References 22 publications

Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom

Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom

Network Analysis of Dark Triad Traits and Emotional Intelligence in Peruvian Adults

Centralidad y asociaciones entre la tríada oscura, inteligencia emocional rasgo y distancia social durante la pandemia de COVID-19 en Perú: un análisis de redes

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