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Related Experiment Video

Updated: Jan 13, 2026

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Assessing Associations Between Environmental, Sleep, and Physical Activity Factors and Metabolic Syndrome Risk:

Tania Ramos-Santiago1, Elise Huglo2, Yanrong Li1

  • 1Department of Psychology, University of Texas at Austin, Austin, TX, United States.

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|January 6, 2026
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Summary

The FEASible study uses wearable sensors to track physical activity and air quality in women, identifying metabolic syndrome (MetS) risk factors. This research provides insights into cardiovascular disease prevention, particularly for Latina women.

Keywords:
Latina women’s healthMetSindoor air qualitymetabolic healthmetabolic syndromephysical activitywearable sensors

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Area of Science:

  • Environmental Health
  • Cardiovascular Health
  • Metabolic Health

Background:

  • The FEASible study investigates daily living patterns using wearable devices and environmental sensors.
  • It aims to validate physical activity and indoor air quality as indicators for metabolic syndrome (MetS) and cardiovascular disease (CVD) risk.

Purpose of the Study:

  • To implement a low-cost, dense sampling approach with 800 adult women, focusing on a diverse population (60% Hispanic or Latina).
  • To assess MetS-related brain vulnerability in a subgroup of 225 participants using neuroimaging.
  • To leverage transdisciplinary expertise for comprehensive health risk assessment.

Main Methods:

  • Participants in Central Texas used smartwatches and custom air quality sensors for two weeks.
  • Data on social determinants of health, medical history, and lifestyle were collected via surveys.
  • Initial visits included measurements of blood pressure, body composition, and lipid profiles.

Main Results:

  • 805 participants completed eligibility surveys; 204 completed two weeks of sensor data collection.
  • The participant pool is diverse, with 60% Hispanic or Latina women, aged 18-40 (average 27).
  • Data collection began in October 2023, with ongoing analyses and expected completion by May 2028.

Conclusions:

  • A feasible data collection pipeline has been established for insights into MetS risk factors in Latina women.
  • The study includes neuroimaging and environmental exposure data for health risk modeling.
  • Findings will inform future interventions for MetS, heart disease, and all-cause mortality in Latina women.