| Author(s) | Afaq S, Tan ST, Afzal U, Loh M, Dimarco A, Kooner J, Chambers J. |
|---|---|
| Date |
Search Publications
- All publications
- Academic achievement
- Accelerometer
- Accelerometry
- Actigraphy
- Adolescent
- Adolescents
- Adoloescents
- Adults
- Affect
- Ageing
- Ageing/Elderly
- Ageng
- Analysis methods
- Athletes
- Barriers
- Behaviour
- Behaviour Change
- Biomarkers
- Biomechanics
- Blood pressure
- Bone
- Calibration
- Cancer
- Cardiometabolic
- Cardiovascular
- Childhood
- Children
- Circadian
- Circadian rhythms
- Classification
- Clinical Application
- Cognition
- Cohort
- Community
- Compliance
- COPD
- Cost analysis
- COVID19
- Cut-points
- Cystic fibrosis
- Deep learning
- Depression
- Diabetes
- Diet
- Doubly Labelled Water
- eHealth
- Energy expenditure
- Environment
- Epidemiology
- Exercise intensity
- Exercise prescription
- Eye health
- Fatigue
- Gait & Balance
- Guidelines
- Health
- Health promotion
- Heritability
- Hip
- Hospital
- Infants
- Inflammation
- Injury prevention
- Intensity
- Intervention
- Kidney
- Lifestyle
- Longitudinal
- Lumbar
- Machine learning
- Measurement
- Mental effort
- Mental health
- Mental Heath
- Metabolic health
- Military
- Millennium cohort study
- Modelling
- Multiple sclerosis
- Muscle
- Muscular dystrophy
- Musical memories
- Myotonic dystrophy
- Neural Network
- Neurological
- Neuromuscular
- Neurotrophins
- Nutrition
- Obesity
- Palliative
- Parkinson’s Disease
- Pattern Recognition
- Pelotas
- Performance
- Physical activity
- Physical activity intervention
- Polysomnography
- Pregnancy
- Protocol
- Questionnaire
- Qustionnaire
- Raw data
- RCT
- Rehabilitation
- Resistance training
- Respiratory
- Risk
- Robotics
- Screen time
- Sedentary
- Sedentary behaviour
- Self-management
- Self-report
- Shift work
- Skin
- Sleep
- Smoking
- Sport
- Stress
- Stroke
- Validation
- Wearables
- Web based
- Whitehall II
- Work-place
- Wrist
- Youth