Back to search

Article

Beyond Metabolic Syndrome: Expanded Cardiometabolic Phenotyping Reveals Distinct Sleep and Physical Activity Profiles from Wearable Monitoring

2026-08-27

Abstract excerpt

<title>Abstract</title> <p>Background Metabolic syndrome (MetS) classifies cardiometabolic risk using five diagnostic criteria but this may obscure biologically distinct metabolic phenotypes. We evaluated whether expanding the cardiometabolic feature set could identify meaningful metabolic subgroups beyond conventional MetS and determined whether these exhibited distinct sleep and physical activity patterns usin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cb1da393-6639-596f-a45e-95010d1d5c3e
DOI
10.21203/rs.3.rs-10701267/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Beyond Metabolic Syndrome: Expanded Cardiometabolic Phenotyping Reveals Distinct Sleep and Physical Activity Profiles from Wearable MonitoringDOI 10.21203/rs.3.rs-10701267/v1
Accelerometer-Derived “Weekend Warrior” Physical Activity and Cardiovascular Outcomes Across the Stages 0–3 of Cardiovascular-Kidney-Metabolic Syndrome: A Prospective UK Biobank StudySemantic proximity
Clustering beyond the binary: Stable machine-learning phenotypes of metabolic syndrome.Semantic proximity
Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics researchSemantic proximity
Associations of Device-Measured Sleep Duration, Regularity, and Efficiency with Cardiometabolic Health in Adults: Findings from the ProPASS ConsortiumSemantic proximity
Dietary Behavior, Physical Activity, and 24-Hour Rhythm Coherence: A Digital Phenotyping Perspective on Vascular and Glycemic Health.Semantic proximity
Healthy Lifestyle including Sleep Patterns, Genetic Risk, and Risk of Cardiometabolic MultimorbiditySemantic proximity
Metabolic age as a marker of cardiometabolic risk: Relationships with metabolic syndrome, hypertriglyceridemic waist, and hypertensive waist phenotypes in a large occupational cohort.Semantic proximity
Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and healthSemantic proximity
Relationships between Metabolic Syndrome Development and Lifestyle Factors: A Retrospective Open Cohort StudySemantic proximity
Phenome-wide associations of sleep characteristics in the Human Phenotype Project.Semantic proximity
Implications of metabolism on multi‐systems healthy aging across the lifespanSemantic proximity
Associations of accelerometer-derived daily step counts with future health risks: A phenome-wide association study among over 60,000 UK adults.Semantic proximity
Select a neighboring publication to make it the new centre.