Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

RCT of a Weighted Blanket to Reduce Pain in Veterans With Chronic Pain

VA Office of Research and Development · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
chronic-painmoodnasleep
Chronic pain is a major health concern for returning Veterans and is associated with decreases in quality of life. In addition, chronic pain is often accompanied by significant disturbance in sleep. Sensory interventions may offer effective, low-cost complementary tools for chronic pain and sleep disturbance in Veterans. Weighted Blankets (WB)- blankets sewn with weighted material inside to provide widespread pressure to the body- are a low-cost wellness product used for anxiety and sleep. WBs have demonstrated large reductions in insomnia, and the investigators have also shown that they can reduce the severity of chronic pain. However, effects and mechanisms of longer WB use have not been examined in individuals with pain and sleep disturbance. The investigators therefore propose a randomized controlled trial examining the effects of WBs on pain and sleep quality in Veterans. the investigators will recruit Veterans with chronic pain and sleep disturbance from the VA San Diego Healthcare System (VASDHS) and VA San Francisco Healthcare System (VASFHS) and randomize 160 Veterans to receive either a light (3-lb; N = 80) or heavy (15-lb; N = 80) blanket. The investigators will remotely collect measures of pain (primary), pain catastrophizing, and pain medication use, as well as sleep disturbance (primary) and sleep efficiency and total sleep time over 6 weeks of overnight home use of the assigned blanket. The investigators will also explore physiological effects of WBs on sleep quality using actigraphy (exploratory) in VASDHS participants. Ecological momentary assessment (EMA) methods will be deployed via smartphone to capture study adherence.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 919020
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive