Optimizing Bedroom Temperature to Improve Sleep in Older Adults
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 24
- 试验地点
- 2
- 主要终点
- Sleep Efficiency Assessed by Actigraphy
研究概览
简要总结
Nearly 50% of older adults complain of poor habitual sleep, and in many cases the underlying reason remains undiagnosed or unknown. Meanwhile, observational data suggest that bedroom temperature significantly influences sleep quality in community-dwelling older adults, including those without financial constraints that limit the use of heating and cooling. These individuals often struggle to maintain an optimal bedroom temperature, either due to impaired motor function and cognitive abilities, and/or a lack of awareness about how temperature affects their sleep. Therefore, for a non-trivial portion of older adults, optimizing the bedroom temperature presents an exciting and untapped opportunity to improve sleep without substantial cost, burden, and side effects. The intervention, biologically adaptive control of bedroom temperature, uses wearable health trackers (e.g., a Garmin watch) and smart thermostats to automate and personalize bedroom temperature control, tailoring it to each person's unique physiology and context. Initially, individuals will be monitored in their home to determine each person's specific temperature range that promotes sleep quality, as measured by the wearable device. After the initial monitoring, the smart thermostat will maintain bedroom temperature within the optimal range for sleep for as long as the individual uses the intervention.
The primary purpose of this project is to test the feasibility of biologically adaptive control of bedroom temperature as an intervention to improve sleep in older adults and gather preliminary data to facilitate sample size calculations for a definitive trial. 20 Older adults, aged 65 and above, will be enrolled and their bedrooms bedrooms will be equipped with smart thermostats. The first aim focuses on assessing the feasibility of the intervention. This includes evaluating participant recruitment and retention, the acceptability of temperature adjustments (tracked through the number of temperature overrides by participants), and the self-reported likelihood of future use. The second aim involves analyzing the mean and variance of sleep outcomes during observation and intervention phases (separately for each group), examining the degree to which they vary with temperature variations and behavioral adaptations.
详细描述
Background and Rationale for the Research
Lab-based studies have shown that ambient temperature significantly affects sleep outcomes, such as sleep efficiency, which in turn influences cognitive function, mental health, stress, physical activity, cardiovascular health, and morning glucose levels. Investigator's recent research confirms that bedroom temperature impacts sleep quality even in home settings where individuals can control their environment. In a study monitoring 50 community-dwelling older adults over 18 months, over 11,000 person-nights of sleep data were gathered, revealing that small deviations from the optimal bedroom temperature range can significantly disrupt sleep quality, similar to the effects of chronic pain or late-night alcohol consumption. Importantly, the ideal sleep temperature varies by individual, and while participants had access to heating and cooling systems, many older adults still sleep in uncomfortably hot or cold bedrooms due to limited motor function, cognitive issues, or not realizing how temperature affects their sleep. The proposed intervention automates temperature control, tailoring it to individual sleep needs using wearable devices and smart thermostats. The intervention, which optimizes sleep temperature based on personal monitoring data, offers a cost-effective way to improve the wellbeing of older adults, particularly given its low cost and potential for net energy savings from smart thermostat use.
Hypothesis
Biologically adaptive control of the bedroom temperature as an intervention to improve sleep is feasible in older adult populations.
Aims Aim 1: To test the feasibility of biologically adaptive control of the bedroom temperature as an intervention to improve sleep in older adults; Aim 2: Gather preliminary data to facilitate sample size calculations for a definitive trial.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •At least 65 years old
- •Willing to follow study protocols for the duration of the study
- •Living in the greater Boston metropolitan area
- •Access to stable internet connection within their home
- •Stable medication
- •Ability to speak and read English
排除标准
- •Exclusion Criteria have been selected to ensure safety and optimize compliance, while minimizing confounds due to overt disease or conditions that may significantly influence study outcomes. The following exclusion criteria will be used to determine eligibility through a phone interview followed by an in-person screening. The exclusion criteria apply to both phases.
- •Stated plans to not live within current place of residence for the duration of the study
- •Inability to properly use the wearable device or complete the daily questionnaire.
- •Self-report of physician-diagnosed sleep apnea or other diagnosed sleep disorders such as restless legs syndrome and chronic insomnia
- •Inability to ambulate without the assistance of others
- •Self- or proxy-report of physician-diagnosed dementia or overt neurological diseases such as Parkinson's Disease, stroke, or Multiple sclerosis
- •Evidence of severe cognitive impairment defined as a Modified Telephone Interview of Cognitive Status (TICS-m) score < 25
- •Self-report of physician-diagnosed type 2 diabetes mellitus.
- •Lack of a thermostat-controlled heating and cooling system to adjust the bedroom temperature. The existing system must be compatible with the thermostat selected in this study (Ecobee)
- •Self-report of any unstable psychiatric illnesses, such as major depressive disorder, schizophrenia, psychosis.
- •Self-report of unstable medical conditions (active cancer, uncontrolled hypertension, unstable heart disease, heart attack within the past 6 months)
研究组 & 干预措施
Intervention
After the initial monitoring, the bedroom temperature for the experimental group will be set to what is deemed optimal for their sleep. Participants will always have the option of overriding our prescribed temperature.
干预措施: Temperature Optimized for Sleep (Other)
Control
After the initial monitoring, the control group will control their own bedroom temperature.
干预措施: Participant's Preferred Temperature (Other)
结局指标
主要结局
Sleep Efficiency Assessed by Actigraphy
时间窗: up to 8 weeks
the ratio of time asleep to time in bed, measured using actigraphy, ranges from 0 (worse outcome) to 100% (better outcome).
次要结局
- Sleep Quality Assessed by a Questionnaire(up to 8 weeks)
- Sleep Duration Assessed by Actigraphy(up to 8 weeks)
- Sleep Onset Latency Assessed by Actigraphy(up to 8 weeks)
研究者
Amir Baniassadi
Principal Investigator
Hebrew SeniorLife