A Personalized Behavioral Intervention for Older Adults With Musculoskeletal Pain and Sleep Complaints

NCT ID: NCT03921840

Last Updated: 2022-11-04

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

27 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-07-01

Study Completion Date

2020-09-10

Brief Summary

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It is well recognized that physical activity/exercise is an effective intervention to improve sleep, reduce pain and improve function in a variety of pain conditions. Traditional interventions to increase physical activity are challenging in older adults due to extensive staffing requirements and low adherence. The investigators plan to conduct a pilot trial in a cohort of older adults (without dementia) with both chronic musculoskeletal pain and nocturnal sleep complaints to test the effectiveness of a 12-week personalized behavioral intervention (compared to a control group) embedded within a smartwatch application in older adults. 27 cognitively intact elders were enrolled and randomly allocated to intervention or control group. Participants in the intervention arm received a 2-hour in person education session, and personalized, circadian-based activity guidelines, with real time physical activity self-monitoring, interactive prompts, biweekly phone consultation with the research team, and financial incentives for achieving weekly physical activity goal. The control group received general education on physical activity in older adults and continue routine daily activity for 12 weeks.

Detailed Description

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Conditions

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Sleep Pain

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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Intervention

Based on the self-efficacy theory, participants in the intervention arm will receive personalized, circadian-based activity guidelines, a 2-hour in person education session, real time physical activity self-monitoring, interactive prompts, biweekly phone consultation with the research team, and financial incentives for achieving weekly physical activity goal.

Group Type EXPERIMENTAL

ELDERFITNESS

Intervention Type BEHAVIORAL

In person training: Participants will receive a 2-hour in person education session with the exercise trainer. Self-monitoring: Subjects will self-monitor subjects' level of physical activity (steps \& minutes of moderate activity) using the smartwatch. The Google calendar and Fitbit apps will send messages and alerts to the subject's smartwatch that encourage subjects to achieve subjects' daily goals. If a participant has low activity for 3 consecutive days, the research assistant will call the participant to either encourage the participant to adhere to the plan or provide a modified plan after consulting the exercise trainer.

Phone consultation: Subjects will have biweekly phone consultation with the research team members to receive guidance and adjustment on activity plans. Financial incentives: The intervention will include financial incentives. Specifically, when the daily activity goal is achieved for more than four days per week, a $5 reward will be given to subjects.

Control

The control group will receive general education on physical activity for older adults and continue daily activity and healthcare routine. Participants will also receive a Go4Life program book from the National Institute on Aging.

Group Type PLACEBO_COMPARATOR

Control

Intervention Type OTHER

General education on physical activity for older adults and continue daily activity and healthcare routine. Participants will also receive a Go4Life program book from the National Institute on Aging.

Interventions

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ELDERFITNESS

In person training: Participants will receive a 2-hour in person education session with the exercise trainer. Self-monitoring: Subjects will self-monitor subjects' level of physical activity (steps \& minutes of moderate activity) using the smartwatch. The Google calendar and Fitbit apps will send messages and alerts to the subject's smartwatch that encourage subjects to achieve subjects' daily goals. If a participant has low activity for 3 consecutive days, the research assistant will call the participant to either encourage the participant to adhere to the plan or provide a modified plan after consulting the exercise trainer.

Phone consultation: Subjects will have biweekly phone consultation with the research team members to receive guidance and adjustment on activity plans. Financial incentives: The intervention will include financial incentives. Specifically, when the daily activity goal is achieved for more than four days per week, a $5 reward will be given to subjects.

Intervention Type BEHAVIORAL

Control

General education on physical activity for older adults and continue daily activity and healthcare routine. Participants will also receive a Go4Life program book from the National Institute on Aging.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Intact cognition
* Poor sleep quality
* Self-reported presence of pain
* Capacity for mild to moderate physical activity.

Exclusion Criteria

* Non-ambulatory or have severely impaired mobility,
* Visual or hearing impairment that interfered with assessments, and
* An acute or a terminal illness
* Neuropathic pain
Minimum Eligible Age

60 Years

Maximum Eligible Age

85 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Institute of Nursing Research (NINR)

NIH

Sponsor Role collaborator

Johns Hopkins University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Junxin Li, PhD

Role: PRINCIPAL_INVESTIGATOR

Johns Hopkins University

Locations

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Johns Hopkins University

Baltimore, Maryland, United States

Site Status

Countries

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United States

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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P30NR018093

Identifier Type: NIH

Identifier Source: secondary_id

View Link

IRB00205661

Identifier Type: -

Identifier Source: org_study_id

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