Unveiling the Digital Phenotype of PA Behavior

NCT06094374 | Unknown DMC

• 1 other identifier: MIADP
• Study Type: observational
• Target: 200
• Locations: 0 countries
• Sites: N/A

Brief Summary

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.

Conditions

Physical Activity - Digital Phenotyping - Activity Tracking

Outcome Measures

Primary Outcomes (1)

• Digital phenotypes of PA

  Patterns of physical activity behavior

  14 days

Study Arms (1)

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

Interventions

observation of physical activity behavior BEHAVIORAL

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.

Community Dwellling Healthy Older Adults

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Age Groups: Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Healthy Community Dwelling older adults aged 65 years or more

You may qualify if:

• 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

You may not qualify if:

• 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,

Sponsors & Collaborators

• PXL University College: lead
• Hasselt University: collaborator

Related Publications (1)

• Daniels K, Vonck S, Robijns J, Spooren A, Hansen D, Bonnechere B. Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol. BMJ Open. 2025 May 24;15(5):e095769. doi: 10.1136/bmjopen-2024-095769.

  PMID: 40413040 DERIVED

Study Officials

• Kim Daniels, MS

  PXL University College of Applied Sciences and Arts

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Kim Daniels, MS

CONTACT

0032485763451; kim.daniels@pxl.be

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 17, 2023
• First Posted: October 23, 2023
• Study Start: January 15, 2024
• Primary Completion: January 30, 2024
• Study Completion: January 15, 2025
• Last Updated: October 23, 2023

Record last verified: 2023-10