| 英文摘要 |
Insomnia is among the most prevalent conditions encountered in primary care settings. Approximately 30% of the general population experience transient insomnia, and nearly 10% develop chronic insomnia. Beyond impairing sleep quality, chronic insomnia is associated with significant daytime dysfunction, an increased risk of mood disorders, and heightened vulnerability to various medical comorbidities. Although clinical guidelines recommend Cognitive Behavioral Therapy for Insomnia (CBT-I) as the first-line treatment for chronic insomnia in adults, sedative–hypnotic medications remain widely prescribed, raising concerns regarding long-term dependence and safety. The etiology and maintenance of insomnia are multifactorial. Maladaptive sleep-related cognitions and compensatory behaviors that emerge following acute sleep disturbances play a critical role in perpetuating the disorder. Core components of CBT-I—specifically stimulus control and sleep restriction—aim to re-establish adaptive associations between the sleep environment and sleep and to recalibrate homeostatic and circadian regulatory processes. These behavioral strategies are complemented by cognitive restructuring and relapse prevention. Robust evidence from randomized controlled trials and meta-analyses indicates that CBT-I yields short-term efficacy comparable to pharmacotherapy while demonstrating superior long-term durability of treatment effects. In response to evolving diagnostic and treatment frameworks, CBT-I is increasingly applied to individuals with comorbid conditions, including mood disorders, chronic pain, and cancer. Treatment efficacy in these populations parallels that observed in primary insomnia and has been associated with improved overall clinical outcomes. Emerging trends include the integration of third-wave therapeutic components, such as mindfulness- and acceptance-based strategies, as well as the dissemination of digital CBT-I (dCBT-I) to address barriers to access. Future directions emphasize integrated and stepped-care delivery models designed to enhance accessibility and scalability while preserving therapeutic fidelity and clinical effectiveness. |