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临床试验/NCT06135740
NCT06135740已完成不适用

Impact of Notifications on Nutrition, Sleep, and Physical Activity on Intellectual Function and Muscle Mass in OldeR Adults (INSPIOR)

Tokyo University1 个研究点 分布在 1 个国家目标入组 355 人开始时间: 2023年11月8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
发起方
入组人数
355
试验地点
1
主要终点
Executive function

研究概览

简要总结

The goal of this prospective, single site, interventional randomized control trial is to treat age related health conditions in adults older than 65 years and functional independence. The main question of the study is to answer the effectiveness of notification on activity, sleep, and nutrition based on wearable device Fitbit recorded data for the improvement of health conditions including intellectual property and physical function, compared to usual care. Participants in the intervention arm will be given a Fitbit Charge 5 device and asked to wear this for the duration of the study, including during sleep. The study intervention will run for 6 months. Notifications will be issued using a monitoring software in Japanese, and issued automatically to participants. Participants in the control arm will be given a routine care and health-related information. Researchers will compare cognitive performance, muscle mass and physical activity between the two groups to see if the notification based on Fitbit data would promote the health conditions of older adults.

详细描述

This is a prospective, single site, interventional randomized control trial. The primary purpose is to treat age related health conditions. The current study is nested within an established cohort based in Kashiwa City in Japan, which consists of older adults living independently. The inclusion criteria of this study is age equal to or older than 65 years and functional independence (i.e., not requiring nursing care provided by long-term care insurance). The investigators plan to conduct a randomized controlled trial to test the effectiveness of notification based on Fitbit recorded data, used to prompt health and wellness actions on a variety of health outcomes, compared to usual care. On enrollment, baseline demographic and health information as well as baseline measurements for quality of life, and physical and mental health, will be collected. Subsequently, the study intervention will run for 6 months. Participants in the intervention arm will be given a Fitbit Charge 5 device and asked to wear this for the duration of the study, including during sleep. Participants will receive sessions to teach them how to use the Charge 5 device and access the information produced. Those who meet the above criteria for intervention will receive automatically generated notifications that include lifestyle recommendations. Notifications will be issued using a monitoring software in Japanese, and issued automatically as text alerts to participants. Participants will receive encouraging notifications to promote adherence and health condition. Participants in the control arm will be given a routine care and health-related information. Participants who fail to exhibit a behavior change in the week following the alert, or who are not engaging with the study (e.g., by not wearing the Fitbit device) will be followed up by phone by a member of the community research group. Researchers will compare cognitive performance and physical activity between the two groups to see if the notification based on Fitbit data would promote the health conditions of older adults. Results of this trial will be valuable for informing further implementation of wearable devices and related digital devices in elderly populations in Japan and other countries in the region.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
Single (Investigator)

入排标准

年龄范围
65 Years 至 92 Years(Older Adult)
性别
All
接受健康志愿者
是

入选标准

  • •Over 65 years of age.
  • •Living in Japan.
  • •Living independently with or without carer support.
  • •Able and willing to wear a Fitbit for the duration of the study (≥20 hours a day, including during sleep).
  • •Individuals that are able and willing to receive and act on interventions.
  • •Has capacity to consent to inclusion in the study.
  • •Smartphone access to allow Fitbit installation and setup.
  • •Has one or more of the following comorbidities:
  • •BMI <20 (65-69 years), <21.5 (≥70 years)
  • •Pre-frail or Frail: scoring 1-2 (pre-frail) or 3+ (frail) based on the FRAIL questionnaire
  • •Sarcopenia: low grip strength (female <18 kg, male <28 kg); Gait speed (< 1m/s); low Skeletal Muscle mass Index (female 5.7 kg/m2; male 7 kg/m2)

排除标准

  • •Individuals receiving full time care in a care facility.
  • •Individuals that are unable to receive and/or act on interventions.
  • •Individuals who are existing wearable users, or who have prior experience using a wearable to manage their health.
  • •Individuals with uncontrolled hypertension, diabetes, CKD or with cardiac pacemakers and/or cardiovascular stent(s).
  • •Individuals who have any additional condition or situation that the Investigator (PI) or designee determines as inappropriate for participation in this study.
  • •Individuals with no comorbidities as defined above.

研究组 & 干预措施

Intervention

Active Comparator

Notification on Nutrition, Sleep, and Physical Activity based on fitbit-based data

干预措施: Fitbit wearing, with notification for sleep, activity and nutrition based fitbit data (Device)

Control

Sham Comparator

Regular Care

干预措施: Routine care (Device)

结局指标

主要结局

Executive function

时间窗: 0 - 6 months

TMT

General Cognition

时间窗: 0 - 6 months

MoCA

Muscle mass

时间窗: 0 - 6 months

Skeletal Muscle mass Index

次要结局

  • Amount of exercise(0 - 6 months)
  • Amount of sleep(0 - 6 months)

研究者

发起方
Tokyo University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Tatsuhiro Hisatsune

Associate Professor

Tokyo University

研究点 (1)

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