WearablesEvidence & Dosage
Overview: Oura, Whoop, Apple Watch, Garmin, Fitbit — pros and cons.
Evidence at a glance
- Total studies
- 422
- With abstract
- 38
- Meta / Systematic / RCT
- 0
- Highly cited
- 2
- Publication years
- 2008–2026
Wearables in the context of Diagnostics & Biomarkers
This topic is part of our "Diagnostics & Biomarkers" world. There you'll find methodology, evidence and the highest-impact levers — plus the order in which they sensibly build on each other.
Go to Diagnostics & BiomarkersTop studies on Wearables
Ranked by influential-citation count and publication year.
The emerging field of mobile health.
Science translational medicine2015n=25182 influential citationsThe surge in computing power and mobile connectivity have fashioned a foundation for mobile health (mHealth) technologies that can transform the mode and quality of clinical research and health care on a global scale. Unimpeded by…
WearGait-PD: An Open-Access Wearables Dataset for Gait in Parkinson’s Disease and Age-Matched Controls
Scientific Data2026n=1001 influential citationsWearable movement sensors are powerful tools for objectively characterizing and quantifying movement. They enhance the precise characterization of gait, balance, and motor symptoms in Parkinson’s disease and related disorders, facilitating…
UCI Sports Nutrition Project: Plate to Performance-Culinary Nutrition Support for Professional Road Cycling.
International journal of sport nutrition and exercise metabolism20261 influential citationsIn elite road cycling, nutrition is a critical pillar of performance, with culinary support evolving from a logistical necessity to a core competitive determinant. The collaboration among performance chefs, registered…
Safeguarding Neural Data.
Neurology2026A growing suite of neurotechnologies that capture brain activity, ranging from wearables to implanted devices, is rapidly transforming practice and research in the clinical neurosciences. States such as Colorado and California have…
Disconnection Between Self-Reported Wellbeing and Heart Rate Variability from Wearables.
Sensors (Basel, Switzerland)2026n=424ETo assess the association between daily self-reported emotional and mental readiness and their association with overnight resting heart rate variability. Participants included 21 males (32 ± 7 years) and 18 females (28 ± 4…
Factors Influencing the Use of Mobile Apps and Wearables: Pre- and Post-Surgery Quality of Life Assessment Study.
JMIR formative research2026n=41EQuality of life (QoL) is an important surgical outcome, commonly assessed through self-reports, and has the potential to be enhanced by objective information from personal technologies such as smartphone apps and wearables. Understanding…
Efficacy of Lower-Limb Wearables to Assess Recovery Following Total Hip or Knee Arthroplasty: A Systematic Review and Meta-Analysis
The Journal of Arthroplasty2026<h4>Background</h4>The purpose of this review was to assess the use of lower-limb wearable sensors in monitoring total hip arthroplasty (THA) or total knee arthroplasty (TKA) recovery. Outpatient postoperative assessment routinely focuses…
Robust Multimodal Cough Detection With Optimized Out-of-Distribution Detection for Wearables
IEEE Journal of Biomedical and Health Informatics2026Longitudinal and continuous monitoring of cough is crucial for early and accurate diagnosis of respiratory diseases. Recent developments in wearables provides at-home remote symptom monitoring with respect to more accurate and less…
An umbrella review of systematic reviews of the impact of wrist-worn wearables on health outcomes
Physiological Reviews2026We conducted an umbrella review to synthesize the evidence on the effectiveness of interventions incorporating wrist-worn wearables’ feedback on diverse health outcomes including health promotion (i.e., health behaviors and disease risk…
From lab to life: Wearables, real-world data, and the future of autonomic research
Autonomic Neuroscience2026Traditional methods for assessing autonomic nervous system (ANS) function are constrained by conventional clinical settings, limited timeframes, and exclusionary protocols. These limitations prevent the accurate capture of dynamic…
Related articles
Sleep Tracking: What Studies Show—and What They Don’t—Evidence-Based
Evidence-based overview: How accurate are consumer sleep trackers, what do they measure meaningfully, and where do studies fall short? Includes the evidence hierarchy.
Biohacking vs. Quantified Self: Difference, Overlap, and History
Biohacking optimizes the body, Quantified Self measures it. The difference lies in goal, method, and evidence: measure first, then change deliberately.
More topics in Diagnostics & Biomarkers
Blood Glucose
Fasting, postprandial, glucose swings — the basis of metabolic health.
Blood Pressure Tracking
Home measurement, 24h monitoring, white-coat hypertension.
Body Temperature Tracking
Basal temperature, cycle, illness, sleep stages via wearable.
Complete Blood Count
Complete and differential blood count, red cells, white cells, platelets — the standard panel.
Continuous Glucose Monitor
Real-time blood glucose via sensor — the learning curve and limitations.
Cycle Tracking
Menstrual cycle, symptoms, fertility — apps and wearables.
Fasting Insulin & HOMA-IR
Detect insulin resistance early — more telling than HbA1c in at-risk patients.
Geroscience Biomarkers
Automatisch via Trend Scout entdeckt. Aging biomarkers and biological clocks are central to longevity interventions and geroscience research.. PubMed: 479 Ergebnisse.
HbA1c
A 3-month average of blood sugar, diabetes risk, a longevity marker.
Homocysteine
Methylation marker, cardiovascular and neurological risk.
HRV Tracking
Heart rate variability as a resilience and recovery indicator.
Inflammation Markers
hs-CRP, IL-6, fibrinogen — chronic low-grade inflammation as a risk factor.
Kidney Values
Creatinine, urea, eGFR, cystatin C — assessing kidney function.
Lipid Profile
LDL-C, HDL, triglycerides, ApoB — modern cardiovascular risk assessment.
Liver Values
ALT, AST, GGT, bilirubin — what high values mean and when they're a problem.
Mood Tracking
Daily mood logging, correlations with sleep/exercise/nutrition.
Nutrition Tracking
Cronometer, MyFitnessPal, macros & micros, limitations.
Resting Heart Rate
A trend marker for cardiovascular fitness and overtraining.
Thyroid Panel
TSH, fT3, fT4, plus reverse T3 and antibodies where indicated — full thyroid panel.
VO2max
Maximal oxygen uptake — the strongest longevity predictor.
Related topics from other worlds
Observational Studies
Cohort, case-control, cross-sectional — correlation, not proof of causation.
Resveratrol
Sirtuins, cardiovascular, pterostilbene comparison and dosage evidence.
Vitamin D
Serum 25-OH-D, optimal range 40–70 ng/ml, a supplementation strategy.
Adrenal Fatigue
A contested concept — what the evidence shows vs. how it's marketed.
Cycle Phases
Follicular phase, ovulation, luteal phase — adapting training and nutrition.
Ghrelin
Hunger hormone, sleep's influence, intermittent-fasting adaptation.