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Intervention to Reduce Sedentary Time

Intervention to Reduce Sitting Time in Mild Cognitive Impairment

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02878486
Acronym
ReST-MCI
Enrollment
6
Registered
2016-08-25
Start date
2016-08-31
Completion date
2018-01-31
Last updated
2019-07-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mild Cognitive Impairment

Keywords

Physical activity, Alzheimer's disease, cognitive impairment, sedentary behavior, insulin sensitivity

Brief summary

The purpose of this study is to determine whether the researchers can help people change the amount of time they spend in sitting activities and whether this change might improve health outcomes.

Detailed description

Specific Aim 1: Determine feasibility of a 12-week home and telephone based intervention in older adults with mild cognitive impairment targeting both the impaired individual and their study partner to help initiate and maintain behavior change. We will recruit KUADC registry participants with MCI and their caregivers (as study partners). Behavioral interventions are more effective when there is built in social support. We will evaluate feasibility in terms of successful recruitment and retention of participants, 10% or less of technological failures, rate of participant concerns addressed by phone and at home visits, acceptability of the intervention to participants (measured by questionnaires during home visits). Specific Aim 2: Determine whether a 12-week home and telephone based intervention results in reduced total sitting time and shorter bouts of sitting in older adults with MCI and their caregivers. Electronic postural monitors will record sitting time for a duration of one week at three time points (pre-intervention, mid-intervention, and post-intervention). The intervention includes 1) feedback from baseline monitoring, 2) educational and goal setting session with the participants and research staff, 3) wrist worn monitors that alert wearers to sitting times \>30 minutes, 4) home and telephone visits to address physical, psychological, and home environment barriers to behavior change. Changes in sitting time and breaks from sitting will be compared between baseline, mid-intervention, and post-intervention measurement occasions. Specific Aim 3: Determine whether sedentary behavior intervention results in improved insulin sensitivity and glycemic control. To evaluate whether reduced sitting results in meaningful metabolic changes, we will measure postprandial insulin and glucose, and body composition, and evaluate changes from pre- to post- intervention adjusting for relevant covariates.

Interventions

Jawbone Up is a wrist wore water resistant activity monitor.

A study team member will discuss benefits of changing sitting habits and ways to make changes to personal habits.

DEVICEActivPAL

Devices measures postural changes over time. Participants will wear device for 7 days. The device measures time sitting, standing, and posture changes (i.e. sit-to-stand).

Sponsors

University of Kansas Medical Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Enrolled in the University of Kansas (KU) Alzheimer's Disease Center (ADC) Registry * Clinical Dementia Rating (CDR) = 0.5 * Inactive status as determined by the Measure of Older Adults' Sedentary Time (MOST) questionnaire * Retired or \<20 hours/week in an office * Lives with partner in a community dwelling setting

Exclusion criteria

* Unable to stand or walk unassisted * Inadequate visual, auditory, or English language capacity * Adhesive allergy * Current uncontrolled Type 2 diabetes * Unwilling to change sitting behavior

Design outcomes

Primary

MeasureTime frameDescription
Change in Average Daily Sitting TimeChange from Baseline to Week 6Average daily sitting time (minus sleep) at 6 weeks minus average daily sitting time (minus sleep) at baseline measured using the activPAL monitor

Secondary

MeasureTime frameDescription
Change in Average Daily Sitting TimeChange from Baseline to Week 12Average daily sitting time (minus sleep) at 12 weeks minus average daily sitting time (minus sleep) at baseline measured using the ActivPAL monitor
Number of Sitting Bouts Greater Than 30 MinWeek 12Change in the number of sitting bouts greater than 30 min measured using the ActivPAL monitor
Change in Glucose Levels Area Under the Curve in Response to Mixed Meal Tolerance TestChange from Baseline to Week 12The average area under the curve at week 12 minus the average area under the curve at baseline. Blood was collected at baseline (pre-mixed meal). Post-mixed meal it was collected at 15, 30, 45, 60, 90, 120 minutes. The Area Under the Curve (AUC) was computed using the trapezoidal rule as we have previously described (Burns et. al. 2012, Morris et al 2014). This results in a single AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome measure (glucose, insulin, etc). The Area Under the Curve (AUC) for each individual is calculated as a single unitless value that results from calculating the definite integral under a timecourse curve. This method has been widely used and cited in metabolic studies for more than two decades https://doi.org/10.2337/diacare.17.2.152. This results in a single unitless AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome response measure (glucose, insulin, etc).
Change in Insulin Levels Area Under the Curve Based on a Mixed Meal Tolerance TestChange from Baseline to Week 12The average area under the curve at week 12 minus the average area under the curve at baseline. Blood was collected at baseline (pre-mixed meal). Post-mixed meal it was collected at 15, 30, 45, 60, 90, 120 minutes. The Area Under the Curve (AUC) was computed using the trapezoidal rule as we have previously described (Burns et. al. 2012, Morris et al 2014). This results in a single AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome measure (glucose, insulin, etc). The Area Under the Curve (AUC) for each individual is calculated as a single unitless value that results from calculating the definite integral under a timecourse curve. This method has been widely used and cited in metabolic studies for more than two decades https://doi.org/10.2337/diacare.17.2.152. This results in a single unitless AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome response measure (glucose, insulin, etc).

Countries

United States

Participant flow

Participants by arm

ArmCount
Intervention Group (Jawbone Up Wrist Monitor)
Intervention group will have vibrotactile reminders from a wrist worn device, education about changing sitting habits, and coaching to change habits
3
Control Group (No Wrist Monitor)
Control group will have education about changing sitting habits, no coaching or vibrotactile reminders
3
Total6

Baseline characteristics

CharacteristicIntervention Group (Jawbone Up Wrist Monitor)TotalControl Group (No Wrist Monitor)
Age, Continuous81.33 years
STANDARD_DEVIATION 8.62
81.08 years
STANDARD_DEVIATION 6.42
80.83 years
STANDARD_DEVIATION 5.35
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
3 Participants6 Participants3 Participants
Region of Enrollment
United States
3 Participants6 Participants3 Participants
Sex: Female, Male
Female
1 Participants2 Participants1 Participants
Sex: Female, Male
Male
2 Participants4 Participants2 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 30 / 3
other
Total, other adverse events
1 / 31 / 3
serious
Total, serious adverse events
0 / 30 / 3

Outcome results

Primary

Change in Average Daily Sitting Time

Average daily sitting time (minus sleep) at 6 weeks minus average daily sitting time (minus sleep) at baseline measured using the activPAL monitor

Time frame: Change from Baseline to Week 6

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Change in Average Daily Sitting Time0.43 minutes per dayStandard Deviation 0.53
Control Group (No Wrist Monitor)Change in Average Daily Sitting Time0.98 minutes per dayStandard Deviation 1.82
Secondary

Change in Average Daily Sitting Time

Average daily sitting time (minus sleep) at 12 weeks minus average daily sitting time (minus sleep) at baseline measured using the ActivPAL monitor

Time frame: Change from Baseline to Week 12

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Change in Average Daily Sitting Time-0.17 minutes per dayStandard Deviation 0.41
Control Group (No Wrist Monitor)Change in Average Daily Sitting Time-0.24 minutes per dayStandard Deviation 0.56
Secondary

Change in Glucose Levels Area Under the Curve in Response to Mixed Meal Tolerance Test

The average area under the curve at week 12 minus the average area under the curve at baseline. Blood was collected at baseline (pre-mixed meal). Post-mixed meal it was collected at 15, 30, 45, 60, 90, 120 minutes. The Area Under the Curve (AUC) was computed using the trapezoidal rule as we have previously described (Burns et. al. 2012, Morris et al 2014). This results in a single AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome measure (glucose, insulin, etc). The Area Under the Curve (AUC) for each individual is calculated as a single unitless value that results from calculating the definite integral under a timecourse curve. This method has been widely used and cited in metabolic studies for more than two decades https://doi.org/10.2337/diacare.17.2.152. This results in a single unitless AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome response measure (glucose, insulin, etc).

Time frame: Change from Baseline to Week 12

Population: Only three participants had data available for the mixed meal tolerance test

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Change in Glucose Levels Area Under the Curve in Response to Mixed Meal Tolerance Test178.88 unitlessStandard Deviation 2144.12
Control Group (No Wrist Monitor)Change in Glucose Levels Area Under the Curve in Response to Mixed Meal Tolerance Test1008.38 unitlessStandard Deviation 0
Secondary

Change in Insulin Levels Area Under the Curve Based on a Mixed Meal Tolerance Test

The average area under the curve at week 12 minus the average area under the curve at baseline. Blood was collected at baseline (pre-mixed meal). Post-mixed meal it was collected at 15, 30, 45, 60, 90, 120 minutes. The Area Under the Curve (AUC) was computed using the trapezoidal rule as we have previously described (Burns et. al. 2012, Morris et al 2014). This results in a single AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome measure (glucose, insulin, etc). The Area Under the Curve (AUC) for each individual is calculated as a single unitless value that results from calculating the definite integral under a timecourse curve. This method has been widely used and cited in metabolic studies for more than two decades https://doi.org/10.2337/diacare.17.2.152. This results in a single unitless AUC pre-intervention value, and a single AUC post-intervention value for each metabolic outcome response measure (glucose, insulin, etc).

Time frame: Change from Baseline to Week 12

Population: Only three participants had data available for the mixed meal tolerance test

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Change in Insulin Levels Area Under the Curve Based on a Mixed Meal Tolerance Test2623.43 unitlessStandard Deviation 1929.77
Control Group (No Wrist Monitor)Change in Insulin Levels Area Under the Curve Based on a Mixed Meal Tolerance Test1776.38 unitlessStandard Deviation 0
Secondary

Number of Sitting Bouts Greater Than 30 Min

Change in the number of sitting bouts greater than 30 min measured using the ActivPAL monitor

Time frame: Week 12

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Number of Sitting Bouts Greater Than 30 Min1 sitting boutsStandard Deviation 1.41
Control Group (No Wrist Monitor)Number of Sitting Bouts Greater Than 30 Min.167 sitting boutsStandard Deviation 0.764
Post Hoc

Change in HOMA-IR (Homeostatic Model Assessment of Insulin Resistance)

HOMA-IR (Homeostatic Model Assessment of Insulin Resistance) is calculated as fasting insulin (microU/L) x fasting glucose (nmol/L)/22.5. The average HOMA-IR at week 12 minus the average HOMA-IR at baseline. A lower score means a person is more sensitive to insulin, whereas a higher score indicates greater resistance to insulin. The HOMA-IR is a tool for calculating degree of insulin resistance. Given that this is a product of insulin and glucose values divided by a constant, there is no maximum score for this measure. The minimum score would be zero as neither insulin or glucose would drop below zero.

Time frame: Change from baseline to week 12

Population: Only three participants had data available for the mixed meal tolerance test

ArmMeasureValue (MEAN)Dispersion
Intervention Group (Jawbone Up Wrist Monitor)Change in HOMA-IR (Homeostatic Model Assessment of Insulin Resistance)96438.33 units on a scaleStandard Deviation 25698.46
Control Group (No Wrist Monitor)Change in HOMA-IR (Homeostatic Model Assessment of Insulin Resistance)63383.80 units on a scaleStandard Deviation 0

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026