Study Results
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View full resultsBasic Information
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COMPLETED
NA
54 participants
INTERVENTIONAL
2022-03-29
2024-12-10
Brief Summary
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Detailed Description
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A total of n=54 Clinical care patients aged 40-70 years of age with low physical activity (PA) levels (\<150 minutes/week) at risk for cardiovascular disease will be recruited. Study outcomes will be measured at baseline, 6 months after intervention start and 12 months after intervention start.
For the primary outcomes, the investigators hypothesize that participants randomized to ActiveGOALSv2 + PAT will have significantly larger (a) increases in step counts/day and % meeting moderate-vigorous physical activity goal of 150 minutes/week (to 12 months) compared to the active PAT control group. Descriptive analyses and graphic displays will be used to identify outliers, missing data, and pattern of attrition. To ensure rigor, the primary analytic strategy will be a linear or generalized mixed-effect models approach in which treatment group, time, and time by group interaction are treated as fixed effects, and subject is treated as a random effect to account for individual subject variability (two sided hypothesis test; .05 level). Mixed models are applicable to longitudinal datasets that contain missing observations, (assuming data is missing at random). Regression modeling will be conducted to adjust for important covariates. The investigators will perform similar analyses to examine changes in secondary outcomes. Descriptive statistics on patient experience, beliefs/attitudes related to maintenance of physical activity changes, and program cost will also be reported.
Power and sample size: For a 2 sided test with alpha level set at .05, and assuming 20% attrition at 12 months, the investigators plan to recruit 54 participants to identify clinically relevant mean difference between randomized groups at 12-months of 2000 steps/day (with a power of .80), and 35% meeting MVPA goal (with a power of .80), given reference mean (sd) values were calculated from baseline waist worn accelerometer data from the current K12 of: 5250 (2200) steps/ day and the investigators assume 5% meeting goal at baseline in the control group.
Descriptive statistics will be used to describe the total eligible population, those referred, and those referred who participated in the study; in order to determine program reach. Exploratory Analysis of Important Pre-Existing Factors: Factor analysis will be used to identify importance of factors related to physical activity levels/ activity goal achievement over the 12 month follow-up (Mplus) from participant EHR data collected prior to intervention start. Factor structures of how individual factors contribute to activity outcomes will be explored at each time point. The best factor structure will be determined with Eigenvalues and fit indices (RMSEA, CFI, and TLI). Factor structures at the 2 time points will be compared at three levels to establish measurement invariance: 1) Configural equivalence, number of factors/ pattern of factor-indicator relationships are identical over time; 2) Metric equivalence, factor loadings are equal over time; and 3) Scalar equivalence, means and values are equivalent over time. Finally, the investigators will use descriptive statistics to report presence/absence of data on physical activity levels, cardiometabolic, and patient-centered outcomes in the EHR. The investigators will apply the same regression approaches utilized in Aim 1a to determine differences between randomized groups for EHR reported outcomes.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
DOUBLE
Study Groups
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PAT (Physical activity monitor)
Participants will receive a physical activity tracker and encouragement to increase physical activity.
PAT
Participants will receive a physical activity tracker and encouragement to increase activity.
ActiveGOALSv2
Participants will receive the ActiveGOALS online program with an integrated activity tracker.
ActiveGOALSv2
13 weekly self-guided sessions on problem solving and goal setting related to increasing physical activity, and weekly remote coaching support. Once a month support materials sent monthly from months 4-12 of intervention.
Interventions
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ActiveGOALSv2
13 weekly self-guided sessions on problem solving and goal setting related to increasing physical activity, and weekly remote coaching support. Once a month support materials sent monthly from months 4-12 of intervention.
PAT
Participants will receive a physical activity tracker and encouragement to increase activity.
Eligibility Criteria
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Inclusion Criteria
* Low physical activity (PA) levels (\<150 minutes/week)
* At least one of the following common cardiometabolic risk factors:
* high blood pressure:\> 129 mm hg SP or \>89 mm hg DP or medication
* high fasting glucose:\>100 mg/dl or high HbA1c: ≥42 mmols/mol or medication
* overweight/ obesity: BMI ≥25 kg/m2).
* Have access to the internet
* Able to read English at a 6th grade level
* Have primary care provider (PCP) permission to increase physical activity without supervision.
Exclusion Criteria
* Told by a physician that they have diabetes (other than previous gestational diabetes) or have received a diagnosis of cardiovascular disease, regardless of when.
* Pregnant or planning a pregnancy in \<12 months
* Non-ambulatory or planning a procedure that will lead to not being ambulatory in \<12 months.
* Women who become pregnant during the study will be required to get an updated referral form from their primary care provider (PCP) stating that they are able to increase their physical activity without supervision .
40 Years
70 Years
ALL
Yes
Sponsors
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National Heart, Lung, and Blood Institute (NHLBI)
NIH
University of Pittsburgh
OTHER
Responsible Party
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Bonny Rockette-Wagner
Assistant Professor
Principal Investigators
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Bonny Rockette-Wagner, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Pittsburgh
Locations
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University of Pittsburgh
Pittsburgh, Pennsylvania, United States
Countries
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Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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STUDY20030079
Identifier Type: -
Identifier Source: org_study_id
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