Unveiling the Digital Phenotype of PA Behavior (MIADP)

Unveiling the Digital Phenotype: A Protocol for a Prospective Study on Physical Activity Behavior in Community-dwelling Older Adults

Observational data from healthy adults aged 65+ will be collected through cross-sectional and longitudinal methods to analyze physical activity patterns, identifying digital phenotypes. Measurements include self-reports, clinical assessments, and EMA, with statistical analysis using multivariate regression and time series analysis, and a neural network if needed to find digital phenotypes related to physical activity in older adults.

Study Overview

• Status: Not yet recruiting
• Conditions: Physical Activity - Digital Phenotyping - Activity Tracking
• Intervention / Treatment: Behavioral: observation of physical activity behavior

Detailed Description

Observational data will be collected in healthy older adults aged 65 or above combining both cross-sectional and longitudinal data collection methods to analyze patterns of PA behavior and identify prognostic factors affecting PA outcomes in order to identify digital phenotypes related to PA.

The measurements are based on the Behavioral Change Wheel and include self-reporting assessments, clinical assessments for cross-sectional data collection and ecological momentary assessment (EMA) as well as time series data collection for longitudinal data. The statistical analysis will involve multivariate regression analysis and time series analysis, with a Bonferroni correction to account for multiple comparisons. A machine learning algorithm is used due to the complexity of the data. If no suitable model is found, a neural network will be used to determine digital phenotypes related to PA behavior in older adults.

• Study Type: Observational
• Enrollment (Estimated): 200

Contacts and Locations

• Study Contact: Name: Kim Daniels, MS; Phone Number: 0032485763451; Email: kim.daniels@pxl.be

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Older Adult
• Accepts Healthy Volunteers: N/A

• Sampling Method: Probability Sample

Study Population

Healthy Community Dwelling older adults aged 65 years or more

Description

Inclusion Criteria:

• Participants are 65 years of older
• Participants are competent to give informed consent
• Participants are able to actively participate in the study
• Participants are community-dwelling (living independent at home or in a service apartment)
• Without a severe illness
• Dutch language proficiency as native speaker

Exclusion Criteria:

• Current neurological disorder such as Parkinson's disease, multiple sclerosis, cerebrovascular accident, …
• Current cardiovascular disorder such as stroke, acute myocardial infarct, coronary artery bypass grafting, percutaneous coronary intervention less than 5 years ago
• Current respiratory disorder, such as chronic obstructive pulmonary disease, pneumonia, pulmonary fibrosis, asthma, …
• Current severe metabolic disorder, such as diabetes type 1 and 2, severe osteoporosis, …
• Current severe cognitive disorders, such as Alzheimer's disease, vascular dementia, Lewy Body dementia, frontotemporal dementia,

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort

Intervention / Treatment

Community Dwellling Healthy Older Adults; 65 years or older; able to give informed consent; community dwelling; no severe illness (neurological, cardiovascular, respiratory, metabolic, cognitive disorder); dutch language profiency

Behavioral: observation of physical activity behavior; An observational study will be conducted to gather data on multiple levels aiming to identify diverse digital phenotypes related to PA behavior among community-dwelling older adults. A hybrid approach will be employed, combining both cross-sectional and longitudinal data collection methods. The overall aim is to employ data analysis to identify patterns of PA - behavior (referred to as phenotypes) and to pinpoint prognostic factors that affect PA outcomes. This integrated strategy will be complemented by four distinct measurement approaches, ensuring a comprehensive assessment of the research objectives. These measurement approaches include:self-reporting, clinical, ecological momentary and time series assessment.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Digital phenotypes of PA	Patterns of physical activity behavior	14 days

Collaborators and Investigators

• Sponsor: PXL University College
• Collaborators: Hasselt University
• Investigators: Principal Investigator: Kim Daniels, MS, PXL University College of Applied Sciences and Arts

Study record dates

Study Major Dates

• Study Start (Estimated): January 15, 2024
• Primary Completion (Estimated): January 30, 2024
• Study Completion (Estimated): January 15, 2025

Study Registration Dates

• First Submitted: October 17, 2023
• First Submitted That Met QC Criteria: October 17, 2023
• First Posted (Actual): October 23, 2023

Study Record Updates

• Last Update Posted (Actual): October 23, 2023
• Last Update Submitted That Met QC Criteria: October 17, 2023
• Last Verified: October 1, 2023

More Information

Terms related to this study

• Other Study ID Numbers: MIADP

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED

Drug and device information, study documents

• Studies a U.S. FDA-regulated device product: No