Abstract
BACKGROUND: Benign laryngotracheal stenosis (LTS) is a condition characterized by mucosal inflammation and fibrosis. It is difficult to treat with a high incidence rate. Respiratory distress and voice disorders of varying severity also affect patients' sleep quality and quality of life. AIM: To investigate the association between anxiety and depression and sleep quality in patients with benign LTS and identify significant risk factors for sleep disorders. METHODS: This retrospective cohort study enrolled 127 consecutive patients with benign LTS admitted to The First People's Hospital of Changde City between January 2021 and January 2024. Comprehensive assessments included demographic collection and Pittsburgh sleep quality index (PSQI), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) scoring. Correlation analyses were conducted to examine relationships between psychological measures and sleep parameters, followed by multivariate logistic regression to determine independent risk factors. RESULTS: The cohort demonstrated significantly impaired sleep quality (mean PSQI, 7.79 ± 2.47), with 48.0% (n = 61) meeting the criteria for clinically significant sleep disturbance. The scores of all PSQI dimensions, as well as SAS and SDS scores of patients with LTS, significantly exceeded Chinese normative values. Strong positive correlations emerged between PSQI scores and both SAS and SDS measures. Multivariate logistic analysis identified middle age (41-50 years), multiple surgical interventions (≥ 3 procedures), lower socioeconomic status (monthly household income per capita ≤ 5000 RMB), and concurrent anxiety/depression as independent predictors of sleep disturbance. CONCLUSION: The results demonstrate a high prevalence of sleep disorders and comorbid anxiety or depressive moods among patients with LTS. These psychological factors both correlate with and independently predict sleep impairment. These results underscore the need for integrated and proactive approaches addressing both physical and mental health components in LTS management, focusing on high-risk subgroups stratified based on age, monthly household income per capita, anxiety/depression status, and number of prior surgeries.