跳至主要内容
临床试验/NCT03160287
NCT03160287已完成不适用

Mobile Motivational Physical Activity Targeted Intervention (MobMPATI) to Improve Sleep in Older Adults With Osteoarthritis

University of Washington1 个研究点 分布在 1 个国家目标入组 24 人开始时间: 2017年6月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
入组人数
24
试验地点
1
主要终点
Mixed Effect Model Inferential Estimates of Longitudinal Changes Across Three Time Points (Baseline, Week 14, Week 19) in Actigraphy Total Sleep Time (TST)

研究概览

简要总结

More than 50% of older persons with osteoarthritis (OA) experience disrupted sleep and insomnia symptoms of difficulty falling asleep, awakening during the night, and awakening too early and being unable to fall back to sleep. Because OA pain has been implicated in sleep problems and because physical exercise interventions have been found to improve pain and sleep quality, staying physically active during the daytime is likely advantageous in terms of improving sleep. Physical exercise interventions with a duration between 10 and 16 weeks have been shown to improve quality of sleep in older adults with self-reported disrupted sleep. Unfortunately, recent reports show that older adults with OA are mainly sedentary and few meet national guidelines for recommended amounts of daily physical activity. A self-management intervention that integrates use of mobile technology to prompt older adults to be physically active, provides ongoing monitoring of the amount of their physical activity and includes self-efficacy enhancements is a novel non-pharmacological intervention both for prevention and treatment of sleep deficiency in persons with OA.

The proposed study will involve delivery of automatic physical activity-focused text messages, a novel sleep self-management diary (SleepTight) and motivational interviewing in participants with OA of the hip or knee (most commonly affected joints). The purpose of this Project is to pilot test a new self-management program: MobMPATI, a multidimensional, tailored intervention for sleep deficiency in for older adults with OA. The specific aims are to:

  1. Test the acceptability of MobMPATI for older adults with OA and poor sleep quality as a manifestation of sleep deficiency.
  2. Test the feasibility of implementing MobMPATI for older adults with OA, as well as collecting electronic data from the sample.
  3. Explore pre/posttest changes in self-efficacy, motivation and sleep deficiency measures [total sleep time (TST) and sleep efficiency (SE)] with the MobMPATI intervention.

This study will provide feasibility/acceptability and preliminary data necessary for a larger clinical trial of MobMPATI intervention to encourage physical activity and reduce sedentary behavior in older adults with OA as a way of reducing sleep deficiency. Preliminary testing of the intervention will indicate what measures are more sensitive in promoting self-efficacy and motivation so that a smaller number of outcomes could be monitored to reduce participant burden. This study is the first step in this innovative program of research. The knowledge gained will provide data on the benefit of a potentially cost-effective intervention that could be implemented on a large scale to improve health of older adults with OA.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Treatment
盲法
None

入排标准

年龄范围
65 Years 至 —(Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •>65 years of age
  • •Clinically diagnosed OA of hip or knee
  • •Positive for sleep deficiency, defined as Insomnia Severity Index>=12
  • •Low physical activity based on Rapid Assessment of Physical Activity <=2
  • •Stable use of pain, sleep and/or mood regulating medications over the past month
  • •Resides in Seattle metropolitan area

排除标准

  • •Acute injury associated with hip or knee pain
  • •Inability to stand up without assistance
  • •Memory Impairment Screen for Telephone (MIS-T) score of <4, suggesting cognitive impairment
  • •Severe hearing or visual impairment
  • •An acute episode or change in the treatment of psychiatric problems within the past 3 months
  • •Diagnosed sleep disorder (e.g., sleep disordered breathing; insomnia).

研究组 & 干预措施

Motivational interview and text messages

Experimental

Multidimensional, tailored intervention for sleep deficiency in for older adults with OA

干预措施: Motivaltional interviews and infrequent motivational text messages (Behavioral)

结局指标

主要结局

Mixed Effect Model Inferential Estimates of Longitudinal Changes Across Three Time Points (Baseline, Week 14, Week 19) in Actigraphy Total Sleep Time (TST)

时间窗: Assessed at Baseline, week 14, week 19; change from baseline throughout three time points reported

Actigraphy Total Sleep Time (TST) in minutes was calculated using baseline, week 14, and week 19 data from a wrist-worn actigraph A single value for change in TST across three-time points was calculated using linear mixed effect modeling A negative change score indicates lower TST ( in min) over time

Mixed Effect Model Inferential Estimates of Longitudinal Changes Across 3 Time Points (Baseline, Week 14, Week 19) in Insomnia Severity Index

时间窗: Assessed at Baseline, week 14, week 19; change from baseline throughout three time points reported

Insomnia Severity Index (ISS) Score range 0 to 28 at each time point, with higher scores indicating more severe insomnia symptoms A single value for change in ISS across three-time points was calculated using linear mixed effect modeling

次要结局

  • Mixed Effect Model Inferential Estimates of Longitudinal Changes Across Three Time-points (Baseline, Week 14, Week 19) in Pain Score(Assessed at Baseline, week 14, week 19; change from baseline throughout three time points reported)
  • Mixed Effect Model Inferential Estimates of Longitudinal Changes Across Three Time-points (Baseline, Week 14, Week 19) in Objectively Measured Step Count(Assessed at Baseline, week 14, week 19; change from baseline throughout three time points reported)
  • Mixed Effect Model Inferential Estimates of Longitudinal Changes Across Three Time-points (Baseline, Week 14, Week 19) in Self-Efficacy (SE) to Manage Chronic Disease Scale(Assessed at Baseline, week 14, week 19; change from baseline throughout three time points reported)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Oleg Zaslavsky

Assistant Professor

University of Washington

研究点 (1)

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