Objective: To investigate prescription patterns of insomnia medications among Chinese children, assess the current status of drug treatment, and offer data to support the guidance of clinical prescribing practices.
Methods: This study analyzed pediatric prescriptions for insomnia medications from the China Hospital Prescription Analysis Cooperation Project database across nine cities between 2016 and 2023. The analysis focused on demographic characteristics, prescription trends, and frequency of medication use among pediatric insomnia patients. Patterns of combination therapy were also examined.
Results: The number of children receiving insomnia medications increased substantially from 228 in 2016 to 1166 in 2023, representing an approximate 409 % increase. A growing proportion of patients were aged 12-14 years, with female patients outnumbering males by a ratio of 1.50: 1. There was an increased representation of patients from psychiatry and neurology departments. Regarding medication choices, benzodiazepines (BZDs) remained the most commonly prescribed class, though their use showed a declining trend. Similarly, non-benzodiazepine receptor agonists (nBZRAs) demonstrated a downward trend (P > 0.05), while antidepressant prescriptions significantly increased (P < 0.05). The most commonly prescribed medications within each class were alprazolam, zolpidem, trazodone, sertraline, and quetiapine. A significant proportion of patients (37.25 %) received combination therapy, with benzodiazepine receptor agonists (BZRAs) plus antidepressants being the most common combination.
Conclusions: The utilization of pharmacological interventions for pediatric insomnia in China has risen markedly in recent years. Despite growing concerns about adverse effects, BZDs continue to be the primary therapeutic choice. The increasing prevalence of combination therapy suggests a trend toward more individualized treatment approaches. These findings underscore the importance of careful monitoring and rational prescribing practices in pediatric insomnia management.
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http://dx.doi.org/10.1016/j.sleep.2025.01.004 | DOI Listing |
Appl Psychophysiol Biofeedback
January 2025
Physical Medicine and Rehabilitation Department, Arash Women General Hospital, Tehran University Of Medical Sciences, Tehran, Iran.
Dyssynergic defecation(DD) is the inability to coordinate abdominal and anorectal muscle contraction during defecation. Patients with constipation often report poor quality of life, sleep issues, and increased risk of mood disorders. Biofeedback is a recommended treatment for DD.
View Article and Find Full Text PDFEur Respir J
January 2025
Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
Sleep Med
January 2025
Department of Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. Electronic address:
Objective: To investigate prescription patterns of insomnia medications among Chinese children, assess the current status of drug treatment, and offer data to support the guidance of clinical prescribing practices.
Methods: This study analyzed pediatric prescriptions for insomnia medications from the China Hospital Prescription Analysis Cooperation Project database across nine cities between 2016 and 2023. The analysis focused on demographic characteristics, prescription trends, and frequency of medication use among pediatric insomnia patients.
Noise Health
January 2025
Department of Otolaryngology, Head and Neck Surgery, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde 415000, Hunan, China.
Objective: In this study, the research team aimed to explore the therapeutic effectiveness of hyperbaric oxygen therapy (HBOT) for noise-induced hearing loss (NIHL), its influence on patient prognosis, and its impact on hearing to provide valuable clinical evidence.
Methods: Ninety-four patients with NIHL admitted to The First People's Hospital of Changde City, Hunan, China, from May 2021 to January 2023 were selected for this retrospective analysis. Among them, 43 were given conventional treatment (control group) and 51 were given HBOT (observation group).
J Med Internet Res
January 2025
Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States.
Background: People share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in digital spaces to discuss insomnia and insomnia treatments.
Objective: The aim of this study is to summarize and chart trends of insomnia treatment terms on a digital insomnia message board.
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