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Updated: May 5, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Detecting Older Adults' Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal

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Summary
This summary is machine-generated.

Smart homes can detect behavior changes in older adults during events like pandemics and wildfires, enabling personalized health interventions. This technology supports continuous monitoring and timely care for chronic conditions.

Keywords:
COVID-19air pollutionchronic diseasedigital phenotypinginternet of things

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Area of Science:

  • Gerontology
  • Digital Health
  • Behavioral Science

Background:

  • Older adults face numerous health challenges, including chronic conditions and external events.
  • Smart homes offer potential to monitor behavior changes, assess risks, quantify social determinants, and design targeted interventions.
  • Objective data from smart home sensors can enhance healthcare systems by tracking behavior modifications.

Purpose of the Study:

  • To examine digital markers before and during the COVID-19 pandemic and wildfires.
  • To determine if clinically relevant behavior changes can be observed in older adults.
  • To suggest upstream interventions based on detected behavior shifts.

Main Methods:

  • Secondary analysis of ambient sensor data from 39 adults with chronic conditions.
  • Interrupted time series analysis to identify behavior markers linked to external events.
  • Machine learning classifiers to compare behavioral differences across exposures.

Main Results:

  • Smart home sensors detected behavior changes during the COVID-19 pandemic and wildfire smoke events.
  • Changes varied in direction and magnitude among participants and events.
  • Key pandemic-related changes included reduced time outdoors, increased restless sleep, and decreased indoor activity.

Conclusions:

  • Sensor-based findings can inform individualized interventions to maintain older adult health during crises.
  • Smart home data can guide the development of practical wellness strategies, such as indoor exercise and virtual socialization.
  • This technology supports nurses in understanding patient behaviors between visits for timely, personalized care.