Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2025
Network Analysis of Anxiety and Depression Symptoms in Individuals With Oral Lichen Planus and Evaluation of Salivary Biomarkers: A New Approach.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Pires Alessandra Laís Pinho Valente, da Silva Adriana Mendonça, Cruz Murilo, de Oliveira Lima-Arsati Ynara Bosco, Arsati Franco, Calumby Rodrigo Tripodi, Dos Santos Jean Nunes, Martins Gabriela Botelho, Freitas Valéria Souza
Аннотация
OBJECTIVE: To estimate the network structure of 21 symptoms of anxiety and depression in individuals diagnosed with oral lichen planus (OLP) and compare it with salivary biomarkers, cortisol and alpha-amylase.
MATERIALS AND METHODS: A case-control study was conducted with 21 OLP cases and 21 controls matched by sex and age. Beck Anxiety and Depression Inventories were administered, and salivary cortisol and alpha-amylase levels were determined. Descriptive analysis used the Mann-Whitney U test to compare participants' responses and the Benjamini-Hochberg Method to control the False Discovery Rate (FDR). Network analysis was performed using regularized partial correlation network models.
RESULTS: A significant association was found between anxiety (p = 0.001) and depression (p = 0.004) scores and OLP. The "shaky/unsteady" symptom was most central in the anxiety network for OLP patients, while "feelings of punishment" and "self-criticism" were central in the depression network. Weak correlations were observed between cortisol and alpha-amylase in anxiety and depressive symptoms. Cortisol awekening response (CAR) had a negative correlation with alpha-amylase awakening response (AAR) (-0.54), as like AAR and Faint/lightheaded (-0.57) in anxiety network. Anxiety network structures did not differ between groups (p = 0.18), but the depression network was more connected in controls than in OLP cases (overall strength 69.29 vs. 27.35, p < 0.000).
CONCLUSION: This study reveals the distinct network structures of anxiety and depression symptoms in OLP patients, highlighting a new methodological approach to exploring symptom configurations. When exploring the relationship with cortisol and alpha-amylase, weak relationships were found between them. The findings may prompt further network studies involving biomarkers and their interaction with anxiety and depression.
MATERIALS AND METHODS: A case-control study was conducted with 21 OLP cases and 21 controls matched by sex and age. Beck Anxiety and Depression Inventories were administered, and salivary cortisol and alpha-amylase levels were determined. Descriptive analysis used the Mann-Whitney U test to compare participants' responses and the Benjamini-Hochberg Method to control the False Discovery Rate (FDR). Network analysis was performed using regularized partial correlation network models.
RESULTS: A significant association was found between anxiety (p = 0.001) and depression (p = 0.004) scores and OLP. The "shaky/unsteady" symptom was most central in the anxiety network for OLP patients, while "feelings of punishment" and "self-criticism" were central in the depression network. Weak correlations were observed between cortisol and alpha-amylase in anxiety and depressive symptoms. Cortisol awekening response (CAR) had a negative correlation with alpha-amylase awakening response (AAR) (-0.54), as like AAR and Faint/lightheaded (-0.57) in anxiety network. Anxiety network structures did not differ between groups (p = 0.18), but the depression network was more connected in controls than in OLP cases (overall strength 69.29 vs. 27.35, p < 0.000).
CONCLUSION: This study reveals the distinct network structures of anxiety and depression symptoms in OLP patients, highlighting a new methodological approach to exploring symptom configurations. When exploring the relationship with cortisol and alpha-amylase, weak relationships were found between them. The findings may prompt further network studies involving biomarkers and their interaction with anxiety and depression.