Physical Activity and Health
402 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
A randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) Study: Feasibility RCT WORtH
- Accelerometer-derived circadian rhythm and colorectal cancer risk in UK Biobank: a prospective cohort study (opens in new tab)
- Accelerometer-derived physical activity, sarcopenia, and grip strength as modifiers of type 2 diabetes risk (opens in new tab)
- Accelerometer-Derived “Weekend Warrior” Physical Activity and Cardiovascular Outcomes Across the Stages 0–3 of Cardiovascular-Kidney-Metabolic Syndrome: A Prospective UK Biobank Study (opens in new tab)
- Accelerometer-derived “weekend warrior” physical activity pattern and risk of age-related eye diseases: a prospective cohort study (opens in new tab)
- Accelerometer-Measured Moderate-to-Vigorous Physical Activity and Cancer Risk: Dose–Response from Observational and Nonlinear Mendelian Randomization in UK Biobank (opens in new tab)
- Accelerometer-Measured Sedentary Behavior, Future Disease, and Cardiovascular-Kidney-Metabolic Health (opens in new tab)
- An exploratory analysis of 24-h movement behaviors in individuals with cancer completing a 12-week resistance exercise intervention (opens in new tab)
- An individualised Lifestyle Intervention with Physical Activity and Diet in individuals with overweight and obesity (LI-PAD)—study protocol of a 6-month randomised controlled study {1a} (opens in new tab)
- Association between physical activity patterns and renal cell carcinoma risk: evidence from the UK biobank large-scale prospective cohort (opens in new tab)
- Association of accelerometer-measured physical activity and the risk of incident cardiovascular diseases within the AHA cardiovascular-kidney-metabolic syndrome 0–4 framework: a prospective cohort of the UK Biobank (opens in new tab)
- Association of Daily Step Count and Multiple Sclerosis: An Accelerometer-Based Prospective Cohort Study (opens in new tab)
- Associations of accelerometer-derived physical activity with chronic kidney disease risk in a population with hypertension: a prospective cohort study (opens in new tab)
- Behavioural Determinants of Multimorbidity in Malawi: protocol for a cross-sectional study (opens in new tab)
- Children's COOPeration Denmark (Child-COOP): A 3-year systems trial targeting physical activity behaviour in children – design and baseline characteristics (opens in new tab)
- Comparison of United Kingdom (UK) and United States (U.S.) hypertension treatment status, physical activity and prospective mortality risk (opens in new tab)
- Criterion validity assessment of the 24-hour movement behaviors questionnaire (24HMBQ) for Chinese college students: validation study (opens in new tab)
- Data from the UK Biobank demonstrates that increased brief, sporadic moderate-to-vigorous physical activity reduces mortality (opens in new tab)
- Device assessed 24-hour movement behaviour and cardiovascular disease mortality amongst cancer survivors. (opens in new tab)
- Device-measured and self-reported physical activity and the trajectory of cardio-renal-metabolic multimorbidity: a prospective cohort study in UK Biobank (opens in new tab)
- Device-quantified vigorous intermittent lifestyle physical activity and risk of incident depression and anxiety among non-exercising adults (opens in new tab)
- Different Intensities of Physical Activity Substituted for Sedentary Time and Risk of Type 2 Diabetes: Integration of Genetics and Wearable Data. (opens in new tab)
- Distribution of device-measured 24-h movement behaviors in older adults: cross-sectional findings from the HUNT4 study (opens in new tab)
- Do Movement Summary Metrics Produce Comparable Outputs Across Different Accelerometer Brands in Free Living? (opens in new tab)
- Dual foundation models for accelerometry predict future health (opens in new tab)
- Effectiveness of a female community health volunteer-led physical activity education intervention on accelerometer-derived outcomes in semi-urban Nepal: an open-label, cluster randomised controlled trial (opens in new tab)
- Endurance exercise intervention reduces vegetable intake which compromises the achievement of glycemic benefit: a randomized controlled, three-period crossover trial (opens in new tab)
- Evaluating Open-Source Wrist-Worn Accelerometer Models for Sedentary Time Detection Against Thigh-Worn Accelerometer Data (opens in new tab)
- High-intensity exercise for maintained health-enhancing physical activity in patients with rheumatoid arthritis: a randomised controlled trial (opens in new tab)
- Hybrid Deep Learning Models for Free-Living Imbalanced Human Activity Recognition: Comparative Study (opens in new tab)
- Impact of physical activity patterns on major adverse cardiovascular events in adults with hypertension (opens in new tab)
- Integrating physical activity into the workplace: opportunities for enhancing employee health (opens in new tab)
- Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK Biobank (opens in new tab)
- More time spent in moderate-to-vigorous physical activity and sleep is associated with a lower incidence of hip or knee osteoarthritis (opens in new tab)
On-campus supervised physical activity programme for university students facing mental health challenges – a feasibility study exploring feasibility, acceptability, fidelity and preliminary effects
- Patterns of daily-life walking in older adults – the HUNT4 Trondheim 70+ Observational Study (opens in new tab)
- Physical activity data correlate with fluctuations in estradiol (opens in new tab)
- Physical activity patterns, genetic susceptibility, and incident ischemic stroke: a population-based cohort study (opens in new tab)
- Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study (opens in new tab)
- Randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) study (opens in new tab)
- Real-World Walking Patterns From Wrist-Worn Wearables Predict Incident Type 2 Diabetes: A UK Biobank WatchWalk Study (opens in new tab)
- Reallocation of 24-hour physical behaviour composition and mortality: exploring effect modification by sleep characteristics (opens in new tab)
- Reallocation time of accelerometer-measured movement behaviours, genetic susceptibility, and incident chronic obstructive pulmonary disease (opens in new tab)
- Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in UK Biobank (opens in new tab)
- Sedentary Time, Sleep, and Physical Activity: A Structural Equation Model of Health-Related Quality of Life in Saudi Children and Young People (opens in new tab)
- Short-term effects of temperature on physical activity and sedentary behavior in Chinese adults: An accelerometer-based analysis (opens in new tab)
- Social, economic, and environmental disparities in device-measured 24-hour movement behaviours in a nationally representative cohort of older English adults (opens in new tab)
- The relationship between clinical characteristics, sociodemographic factors and sedentary behavior in adults with chronic conditions: a cross-sectional study from the Lolland-Falster Health Study (opens in new tab)
- The temporal interplay between physical activity, emotional well-being, and health-related quality of life in individuals with recently diagnosed type 2 diabetes mellitus: a cross-lagged panel analysis (opens in new tab)
- Timing of physical activity and cardiovascular and mortality risk in patients with type 2 diabetes: a UK biobank cohort study (opens in new tab)
- Validity and Reliability of Using a Belt-Worn Accelerometer on the Lower Back to Monitor Physical Activity (opens in new tab)
2025
- A Methodological Framework for Analyzing and Differentiating Daily Physical Activity Across Groups Using Digital Biomarkers from the Frequency Domain (opens in new tab)
- Accelerometer-derived physical activity and risk of incident fractures: a population-based cohort study (opens in new tab)
- Accelerometer-Derived Physical Activity Volume, Not Pattern, Correlates with Reduced Gout Incidence in a UK Prospective Cohort (opens in new tab)
- Accelerometer-derived “weekend warrior” physical activity pattern and cardiovascular disease in individuals with hypertension: a prospective cohort study (opens in new tab)
- Accelerometer-derived “weekend warrior” physical activity pattern and incident type 2 diabetes (opens in new tab)
- Accelerometer-measured chronoactivity and type 2 diabetes risk: A prospective study in UK Biobank participants (opens in new tab)
- Accelerometer-measured moderate-to-vigorous physical activity is associated with reduced risk of bowel resection and mortality in inflammatory bowel disease: a prospective cohort study (opens in new tab)
- Accelerometery 24-hour movement behaviours and health markers in the European old population: iso-temporal substitution regression (opens in new tab)
- Accelerometer‐derived “weekend warrior” and regularly active physical activity and incident diabetes (opens in new tab)
- Accelerometer‐measured physical activity timing with incident dementia (opens in new tab)
- Amount and intensity of daily total physical activity, step count and risk of incident cancer in the UK Biobank (opens in new tab)
- Association between device-based measured physical activity timing and depression risk: a prospective cohort study of UK Biobank participants (opens in new tab)
- Association between device-measured physical activities, type 2 diabetes, and life expectancy over the next 10 years: a prospective longitudinal study (opens in new tab)
- Association Between Physical Activity and Memory Function: The Role of Brain Structural Markers in a Cross‐Sectional Study (opens in new tab)
- Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture (opens in new tab)
- Association of self-reported and accelerometer-based walking pace with incident cardiac arrhythmias: a prospective cohort study using UK Biobank (opens in new tab)
- Associations Between Accelerometer-Measured 24-Hour Movement Behaviors and Cardiac Conduction Disease in the UK Biobank Cohort (opens in new tab)
- Associations between physical activities and self-harm behaviour in depression across the genotype: findings from the UK biobank (opens in new tab)
- Associations between physical activity and brain structure in a large community cohort (opens in new tab)
- Associations between the 24-h Activity Daily Cycle and Incident Dementia (opens in new tab)
- Associations of accelerometer-derived ‘weekend warrior’ physical activity pattern with incident sarcopenia and falls (opens in new tab)
- Associations of Device-Measured Sleep Duration, Regularity, and Efficiency with Cardiometabolic Health in Adults: Findings from the ProPASS Consortium (opens in new tab)
- Average acceleration and intensity gradient of 9–11-year-old rural and urban Kenyan school-going children and associations with cardiorespiratory fitness and BMI: The Kenya-LINX project (opens in new tab)
- Chronic inflammation mediates the relationship between physical activity and telomere length (opens in new tab)
- Classification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques (opens in new tab)
- Community-based promotion of physical activity in Nepal: study protocol for a cluster-randomized controlled trial (opens in new tab)
- Comparing Physical Activity Metrics From Different Placements of Thigh-Worn Accelerometers (opens in new tab)
- Concurrent Changes in 24-Hour Movement Behaviors and Cognitive Function during Retirement Transition: Longitudinal Compositional Data Analysis (opens in new tab)
- Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study (opens in new tab)
- Daily physical activity and trajectories of care service use among older adults: the HUNT4 Trondheim 70+ study (opens in new tab)
- Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis (opens in new tab)
- DARE to wear: digital health promotion and disease prevention using wearable devices (opens in new tab)
- Device‐Based Physical Activity and Low‐Grade Inflammation in People With Multimorbidity: Cross‐Sectional Baseline Analysis From the MOBILIZE Trial (opens in new tab)
- Device‐Measured Physical Activity, Sedentary Behaviour and Risk of Chronic Kidney Diseases Across Levels of Grip Strength (opens in new tab)
- Differences in the temporal patterns of occupational time on feet and sitting between homecare and nursing home workers (opens in new tab)
- Dose-response relationship between accelerometer-measured physical activity and depression: evidence from the UK Biobank (opens in new tab)
- Dose-response relationship of physical activity and sedentary time with mortality in people with chronic obstructive pulmonary disease: an analysis of UK biobank accelerometer cohort (opens in new tab)
- Effects of a workplace exercise intervention on cardiometabolic health: a randomized controlled trial (opens in new tab)
- Family History–Guided Physical Activity for Cardiovascular Disease Prevention (opens in new tab)
- Flexible Goals for Daily Step Count: Associations Between Sporadic and Bouted Steps and All-Cause Mortality (opens in new tab)
- How older adults walk: Daily life walking characteristics in relation to age, sex, and physical function - The HUNT4 Trondheim 70+ Study (Preprint) (opens in new tab)
- Impact of accelerometer epoch summary measure on associations between physical activity and all-cause mortality in Whitehall II and UK Biobank (opens in new tab)
- Increased weight-load improves body composition by reducing fat mass and waist circumference, and by increasing lean mass in participants with obesity: a single-centre randomised controlled trial (opens in new tab)
- Joint association of different insulin resistance-related indices and moderate-to-vigorous physical activity with risk of cardiometabolic disease and multimorbidity: insights from the UK Biobank prospective cohort study (opens in new tab)
- Joint associations of device-measured physical activity and sleep duration with incident major adverse cardiovascular events: prospective analysis of the UK Biobank (opens in new tab)
- Joint Associations of Sedentary Time and Intensity-Specific Physical Activity With Cancer Mortality: A Device-Based Cohort Study of 72,458 UK Adults (opens in new tab)
- Lonkkamurtumapotilaiden liikkumisen seuranta liikemittareilla kuntoutumisen aikana (opens in new tab)
- Mesure de l’activité physique favorable à la santé : développement d’une approche objective et in situ (opens in new tab)
- Minimum and optimal combined variations in sleep, physical activity, and nutrition in relation to all-cause mortality risk (opens in new tab)
- Moderate and Vigorous Physical Activity Intensity Cut‐Points for Hip‐, Wrist‐, Thigh‐, and Lower Back Worn Accelerometer in Very Old Adults (opens in new tab)
- Moderate-to-Vigorous Physical Activity at any Dose Reduces All-Cause Dementia Risk Regardless of Frailty Status (opens in new tab)
- MoveMentor—examining the effectiveness of a machine learning and app-based digital assistant to increase physical activity in adults: protocol for a randomised controlled trial (opens in new tab)
- Multi-Centre Randomised Controlled Feasibility Testing of a Physical Activity Micropattern Intervention Among Socioeconomically Diverse Women (opens in new tab)
- Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank (opens in new tab)
- Optimal dose and pattern of physical activity to prevent diagnosed depression: prospective cohort study (opens in new tab)
- Physical activity and Alzheimer’s disease risk across genetic susceptibility: a prospective UK Biobank study using accelerometer data (opens in new tab)
- Physical activity and sedentary behaviour amongst children with obesity - exploring cross-sectional associations between child and parent (opens in new tab)
- Physical activity in professional training of physiotherapists (opens in new tab)
- Physical activity, air pollution, and incident long-term conditions: a prospective cohort study (opens in new tab)
- Physical activity, neuropsychiatric symptoms, and physical function in nursing home residents: the HUNT 70+ study (opens in new tab)
- Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study (opens in new tab)
- Prospective associations of daily step count and stepping intensity with overall and type-specific major adverse cardiovascular events in people with hypertension (opens in new tab)
- Reallocation of time between accelerometer-derived movement behaviors, genetic susceptibility, and risk of incident dementia, mortality, and premature death: a longitudinal cohort study (opens in new tab)
- Seasonal changes in the volume and intensity of children’s school year physical activity (opens in new tab)
- Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking (opens in new tab)
- Sex differences in the association between cognitive function and 24-hour activity patterns in older adults: a compositional data analysis (opens in new tab)
- Snacktivity™ to Promote Physical Activity in Primary Care, Community Health and Public Health Settings: A Feasibility Randomised Controlled Trial (opens in new tab)
- The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children (opens in new tab)
- The association between physical and sensory function, self-perceived health, and 24-hour activity patterns for older people: A compositional data analysis (opens in new tab)
- The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults (opens in new tab)
- The performance of a machine learning model in predicting accelerometer-derived walking speed (opens in new tab)
- The role of circadian rest-activity rhythm for the link between 25-hydroxyvitamin D and type 2 diabetes: a cohort study (opens in new tab)
- Trajectories of children’s physical activity volume and intensity across the school year: the Ready, Set, Move project (opens in new tab)
- Validation and comparative study of the Motus system for accurately identifying movement behaviours using different sampling frequencies (opens in new tab)
- Work tasks drive the physical behaviors of passenger train drivers (opens in new tab)
- “Weekend warrior” physical activity pattern and risk of incident cancer (opens in new tab)
2024
- 190 A feasibility randomised controlled trial of an intervention to increase physical activity and reduce sedentary behaviour in people with severe mental illness (opens in new tab)
- Accelerometer-derived moderate-to-vigorous physical activity and incident nonalcoholic fatty liver disease (opens in new tab)
- Accelerometer-derived physical activity and the risk of death, heart failure, and stroke in patients with atrial fibrillation: a prospective study from UK Biobank (opens in new tab)
- Accelerometer-Measured Daily Behaviors That Mediate the Association Between Refractive Status and Depressive Disorders (opens in new tab)
- Accelerometer-measured physical activity, sedentary behavior, and incidence of macrovascular and microvascular events in individuals with type 2 diabetes mellitus and prediabetes (opens in new tab)
- Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank (opens in new tab)
- Assessing the level of device-measured physical activity according to insomnia symptoms in 1,354 individuals with diabetes: the HUNT Study, Norway (opens in new tab)
- Association between Accelerometer-Measured Irregular Sleep Duration and Longitudinal Changes in Body Mass Index in Older Adults (opens in new tab)
- Association between circadian physical activity trajectories and incident type 2 diabetes in the UK Biobank (opens in new tab)
- Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults (opens in new tab)
- Association between “weekend warrior” physical activity and the incidence of neurodegenerative diseases (opens in new tab)
- Associations between accelerometer‐derived sedentary behavior and physical activity with white matter hyperintensities in middle‐aged to older adults (opens in new tab)
- Associations between number and type of conditions and physical activity levels in adults with multimorbidity - a cross-sectional study from the Danish Lolland-Falster health study (opens in new tab)
- Associations of accelerometer-measured physical activity, sedentary behaviour, and sleep with next-day cognitive performance in older adults: a micro-longitudinal study (opens in new tab)
- Associations of adiposity and device-measured physical activity with cancer incidence: UK Biobank prospective cohort study (opens in new tab)
- Associations of habitual sedentary time with executive functioning and short-term memory in 7th and 8th grade adolescents (opens in new tab)
- Associations of steps per day and step intensity with the risk of cancer: Findings from the Women's Health Accelerometry Collaboration cohort (opens in new tab)
- Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health (opens in new tab)
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition (opens in new tab)
- Causal association of physical activity with lymphoma risk: a Mendelian randomization analysis (opens in new tab)
- Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study (opens in new tab)
- Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan (opens in new tab)
- Comparing Cadence vs. Machine Learning‐Based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality (opens in new tab)
- Comparison of stepping-based metrics from ActiGraph accelerometers worn concurrently on the non-dominant wrist and waist among young adults (opens in new tab)
- Composite activity type and stride-specific energy expenditure estimation model for thigh-worn accelerometry (opens in new tab)
- Daily physical activity and prognostic implications in patients with heart failure: an accelerometer study (opens in new tab)
- Daily physical activity in older adults across levels of care: the HUNT Trondheim 70 + study (opens in new tab)
- Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults (opens in new tab)
- Development of machine learning-based algorithms for classifying physical activity intensity using wrist and thigh worn wearables (opens in new tab)
- Device-measured sedentary time and intensity-specific physical activity in relation to all-cause and cardiovascular disease mortality: the UK Biobank cohort study (opens in new tab)
- Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence (opens in new tab)
- Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence: a population cohort study of 83,013 adults (opens in new tab)
- Diet, physical activity, and sleep in relation to postprandial glucose responses under free-living conditions: an intensive longitudinal observational study (opens in new tab)
- Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank (opens in new tab)
- Do the associations of daily steps with mortality and incident cardiovascular disease differ by sedentary time levels? A device-based cohort study (opens in new tab)
- Dose-response association of an accelerometer-measured physical activity with all-cause mortality and cardiovascular disease incidence: Prospective cohort with 76,074 participants (opens in new tab)
- Effectiveness of a Goldilocks Work intervention in childcare workers – A cluster-randomized controlled trial (opens in new tab)
- Enhancing clinical and public health interpretation of accelerometer-assessed physical activity with age-referenced values based on UK Biobank data (opens in new tab)
- Exploring How Older Adult’s Gender Role is Associated with Studied Outcomes Following an Outdoor Exercise Structure Program (opens in new tab)
- Feasibility and acceptability of a contextualized physical activity and diet intervention for the control of hypertension in adults from a rural subdistrict: a study protocol (HYPHEN) (opens in new tab)
- Function-based risk reduction intervention for lifestyle-related disorders among inactive 40-year-old people: a pilot randomised controlled trial (opens in new tab)
- Individual and day‐to‐day differences in domain‐specific physical activity of 10‐ to 11‐year‐old children in Denmark—Measured using GPS and accelerometry (opens in new tab)
- Inter-Brand, -Dynamic Range, and -Sampling Rate Comparability of Raw Accelerometer Data as Used in Physical Behavior Research (opens in new tab)
- Intervention Mapping for Refining a Sport-Based Public Health Intervention in Rural Schools (opens in new tab)
- Joint associations of handgrip strength and physical activity with incident cardiovascular disease and overall mortality in the UK Biobank (opens in new tab)
- Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers: A Natural Experiment over Retirement (opens in new tab)
- mHealth intervention including text messaging and behaviour change techniques to support maintenance of physical activity after cardiac rehabilitation: A single-arm feasibility study (opens in new tab)
- Micropatterns of physical activity in relation to all-cause and cardiovascular disease mortality: the stealth lifestyle factor? (opens in new tab)
- Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches (opens in new tab)
- NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour (opens in new tab)
- Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer’s Disease in the UK Biobank (opens in new tab)
- Physical activity, sedentary behavior, and risk of sepsis: a two-sample mendelian randomization study (opens in new tab)
- Real-Life Physical Activity in Community-Dwelling Older Adults over a Year with Changes in COVID-19 Restrictions in Norway (opens in new tab)
- Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose–response associations from the Prospective Physical Activity, Sitting and Sleep Consortium (opens in new tab)
- Research-Grade Accelerometers to Assess Intervention Effectiveness and Commercial Wearables as a Self-Monitoring Tool: Are the Two Aligned on Moderate to Vigorous Physical Activity? (opens in new tab)
- Resistance Training on an Outdoor Exercise Structure Improves Lower-Body Relative Strength in Older Adults (opens in new tab)
- Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank (opens in new tab)
- Supporting physical activity through co-production in people with severe mental ill health (SPACES): protocol for a randomised controlled feasibility trial (opens in new tab)
- The associations of chronic pain and 24-h movement behaviors with incident mental disorders: evidence from a large-scale cohort study (opens in new tab)
- The Goldilocks Days: optimising the older adults' time-use to prevent obesity, low fitness, risk and fear of falling. (opens in new tab)
- The interplay between lying, sitting, standing, moving, and walking on obesity risk in older adults: a compositional and isotemporal substitution analysis (opens in new tab)
- The relationship between accelerometer-based physical activity, sedentary behavior, and seven common geriatric syndromes: a two-sample Mendelian randomization study (opens in new tab)
- The Role of Physical Literacy in the Association Between Weather and Physical Activity: A Longitudinal Multilevel Analysis With 951 Children (opens in new tab)
- Timing of Moderate to Vigorous Physical Activity, Mortality, Cardiovascular Disease, and Microvascular Disease in Adults With Obesity (opens in new tab)
- UP150 Project: A Longitudinal Analysis of Active Lifestyles in the Complex Working System (opens in new tab)
- Validation of physical activity levels from shank-placed Axivity AX6 accelerometers in older adults (opens in new tab)
2023
- (24-hour physical behavior profile in heart failure patients with different physical fitness: a pilot study) (opens in new tab)
- Accelerometer Metrics: Healthy Adult Reference Values, Associations with Cardiorespiratory Fitness, and Clinical Implications (opens in new tab)
- Accelerometer-derived physical activity and sedentary behaviors in individuals with newly diagnosed type 2 diabetes: A cross-sectional study from the Danish nationwide DD2 cohort (opens in new tab)
- Accelerometer-measured intensity-specific physical activity, genetic risk and incident type 2 diabetes: a prospective cohort study (opens in new tab)
- Accelerometer‐measured physical activity and sitting with incident mild cognitive impairment or probable dementia among older women (opens in new tab)
- Accelerometry-based assessment of physical activity and sedentary behavior in adult survivors of childhood acute lymphoblastic leukemia and their healthy peers (opens in new tab)
- Amount and intensity of physical activity and risk of incident cancer in the UK Biobank (opens in new tab)
- Association between accelerometer-measured amplitude of rest–activity rhythm and future health risk: a prospective cohort study of the UK Biobank (opens in new tab)
- Association between circadian physical activity patterns and mortality in the UK Biobank (opens in new tab)
- Association between questionnaire-based and accelerometer-based physical activity and the incidence of chronic kidney disease using data from UK Biobank: a prospective cohort study (opens in new tab)
- Association between timing and consistency of physical activity and type 2 diabetes: a cohort study on participants of the UK Biobank (opens in new tab)
- Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson’s disease (opens in new tab)
- Association of Accelerometer-Measured Physical Activity Level With Risks of Hospitalization for 25 Common Health Conditions in UK Adults (opens in new tab)
- Association of accelerometer-measured sleep duration and different intensities of physical activity with incident type 2 diabetes in a population-based cohort study (opens in new tab)
- Association of Sit-to-Stand Capacity and Free-Living Performance Using Thigh-Worn Accelerometers among 60- to 90-Yr-Old Adults (opens in new tab)
- Associations Between Local Area Deprivation and Physical Activity Participation in People with Cognitive Impairment in the North East of England (opens in new tab)
- Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study (opens in new tab)
- Brief bouts of device-measured intermittent lifestyle physical activity and its association with major adverse cardiovascular events and mortality in people who do not exercise: a prospective cohort study (opens in new tab)
- Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study (opens in new tab)
- Comparison of Pre-Diagnosis Physical Activity and Its Correlates between Lung and Other Cancer Patients: Accelerometer Data from the UK Biobank Prospective Cohort (opens in new tab)
- Detailed descriptions of physical activity patterns among individuals with diabetes and prediabetes: the Lolland-Falster Health Study (opens in new tab)
- Determining minimum number of valid days for accurate estimation of sedentary behaviour and awake-time movement behaviours using the ActivPAL3 in nursing home residents (opens in new tab)
- Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank (opens in new tab)
- Device measured sedentary behaviour, sleep, light and moderate-vigorous physical activity and cardio-metabolic health: A compositional individual participant data analysis in the ProPASS consortium (opens in new tab)
- Device-based physical activity measures for population surveillance—issues of selection bias and reactivity (opens in new tab)
- Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants (opens in new tab)
- Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium (opens in new tab)
- Device-measured physical activity and type 2 diabetes mellitus risk (opens in new tab)
- Do associations of physical activity and sedentary behaviour with cardiovascular disease and mortality differ across socioeconomic groups? A prospective analysis of device-measured and self-reported UK Biobank data (opens in new tab)
- Do socioeconomic inequities arise during school-based physical activity interventions? An exploratory case study of the GoActive trial (opens in new tab)
- Dose-response of accelerometer-measured physical activity, step count, and cancer risk in the UK Biobank: a prospective cohort analysis (opens in new tab)
- Effect of nationwide school policy on device-measured physical activity in Danish children and adolescents: a natural experiment (opens in new tab)
- Effects of a family-based lifestyle intervention on co-physical activity and other health-related outcomes of fathers and their children: the ‘Run Daddy Run’ intervention (opens in new tab)
- Effects of the Timing of Intense Physical Activity on Hypertension Risk in a General Population: A UK-Biobank Study (opens in new tab)
- Estimating the effect of physical activity on cognitive function within the UK Biobank cohort (opens in new tab)
- Finnish Retirement and Aging Study: a prospective cohort study (opens in new tab)
- Fourteen days free-living evaluation of an open-source algorithm for counting steps in healthy adults with a large variation in physical activity level (opens in new tab)
- Fundament for a methodological standard to process hip accelerometer data to a measure of physical activity intensity in middle‐aged individuals (opens in new tab)
- Generation Healthy Kids: Protocol for a cluster-randomized controlled trial of a multi-component and multi-setting intervention to promote healthy weight and wellbeing in 6–11-year-old children in Denmark (opens in new tab)
- Hoosier Sport: a research protocol for a multilevel physical activity-based intervention in rural Indiana (opens in new tab)
- Hybrid office work in women and men: do directly measured physical behaviors differ between days working from home and days working at the office? (opens in new tab)
- Joint association of physical activity and sleep duration with risk of all-cause and cause-specific mortality: a population-based cohort study using accelerometry (opens in new tab)
- Joint associations of device-measured physical activity and abdominal obesity with incident cardiovascular disease: a prospective cohort study (opens in new tab)
- Lifestyle and patterns of physical activity in <scp>Hadza</scp> foragers (opens in new tab)
- Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale (opens in new tab)
- Modifications of 24-h movement behaviors to prevent obesity in retirement: a natural experiment using compositional data analysis (opens in new tab)
- Online Physical Exercise and Group Sessions to Increase and Maintain Physical Activity in Individuals with Type 2 Diabetes: A Single-Arm Feasibility Study (opens in new tab)
- Physical activity and the risk of periodontitis: an instrumental variable study (opens in new tab)
- Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health (opens in new tab)
- Quantifying the Association between Objectively Measured Physical Activity and Multiple Sclerosis in the UK Biobank (opens in new tab)
- Sedentary Behavior, Physical Activity Patterns, and Cardiometabolic Risk Factors in South African Office-Based Workers (opens in new tab)
- Sensors for Human Physical Behaviour Monitoring (opens in new tab)
- Snacktivity™ to promote physical activity and reduce future risk of disease in the population: protocol for a feasibility randomised controlled trial and nested qualitative study (opens in new tab)
- Study protocol for a multicenter randomized controlled trial of personalized exercise therapy and self-management support for people with multimorbidity: The MOBILIZE study (opens in new tab)
- Study protocol for two pilot randomised controlled trials aimed at increasing physical activity using electrically assisted bicycles to enhance prostate or breast cancer survival (opens in new tab)
- The association between physical activity, low-grade inflammation, and labour market attachment among people with multimorbidity: A cross-sectional study from the Lolland-Falster Health Study, Denmark (opens in new tab)
- The Effect of an Electronic Passive Prompt Intervention on Prolonged Occupational Sitting and Light-Intensity Physical Activity in Desk-Based Adults Working from Home during COVID-19 in Ireland (opens in new tab)
- The impact of leisure-time physical activity and occupational physical activity on sickness absence. A prospective study among people with physically demanding jobs (opens in new tab)
- The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson’s Disease (randomized controlled trial) (opens in new tab)
- Tortoise or Hare? The Associations between Physical Activity Volume and Intensity Distribution and the Risk of All-Cause Mortality: A Large Prospective Analysis of the UK Biobank (opens in new tab)
- Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s (opens in new tab)
- Ukumela impilo randomised trial: preliminary findings of height-adjustable sit-to-stand workstations on health outcomes of South African office workers (opens in new tab)
- Ukumela Impilo Trial: Preliminary Findings of Height-Adjustable sit to stand Workstations on Health Outcomes of South African Office Workers (opens in new tab)
- User-centered design of feedback regarding health-related behaviors derived from wearables: An approach targeting older adults and persons living with neurodegenerative disease (opens in new tab)
- Using mobile health to encourage physical activity in individuals with intellectual disability: a pilot mixed methods feasibility study (opens in new tab)
- Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model (opens in new tab)
- Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults (opens in new tab)
- Validation of Oura ring energy expenditure and steps in laboratory and free-living (opens in new tab)
- Validation of physical activity levels from shank-placed Axivity AX6 accelerometers (opens in new tab)
- Within-Person Associations of Accelerometer-Assessed Physical Activity With Time-Varying Determinants in Older Adults: Time-Based Ecological Momentary Assessment Study (opens in new tab)
- Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study (opens in new tab)
2022
- A software system for the assessment of the sleep-wake rhythm using Axivity AX3 (opens in new tab)
- Adaptation of a Danish online version of the Oxford Physical Activity Questionnaire (OPAQ) for secondary school students—a pilot study (opens in new tab)
- Assessment of Physical Work Demands of Home Care Workers in Norway: An Observational Study Using Wearable Sensor Technology (opens in new tab)
- Association Between Device-Measured Physical Activity and Incident Heart Failure: A Prospective Cohort Study of 94 739 UK Biobank Participants (opens in new tab)
- Association of Physical Activity Volume and Intensity with Incident Cardiovascular Disease: a UK Biobank Study (opens in new tab)
- Association of sedentary and physical activity behaviours with body composition: a genome-wide association and Mendelian randomisation study (opens in new tab)
- Associations between Hospitalization and Device-Assessed Physical Activity in a Representative Sample of Older Adults (opens in new tab)
- Back to school after lockdown: The effect of COVID-19 restrictions on children's device-based physical activity metrics (opens in new tab)
- Comparison of pre-diagnosis physical activity and its correlates among lung, breast, colorectal and prostate cancer patients: accelerometer data from the UK Biobank prospective cohort (opens in new tab)
- Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography (opens in new tab)
- Device-based physical activity and late-life depressive symptoms: An analysis of influential factors using share data (opens in new tab)
- Evaluating Simple Objective Metrics for the Remote Measurement of Physical Activity: Preliminary Results from the RADAR‐AD Study (opens in new tab)
- GPs’ perspectives regarding their sedentary behaviour and physical activity: a qualitative interview study (opens in new tab)
- Implementation of physical activity on prescription for children with obesity in paediatric health care (IMPA): protocol for a feasibility and evaluation study using quantitative and qualitative methods (opens in new tab)
- Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries (opens in new tab)
- Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment (opens in new tab)
- mHealth Support to Stimulate Physical Activity in Individuals With Intellectual Disability: Protocol for a Mixed Methods Pilot Study (opens in new tab)
- Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial (opens in new tab)
- O1-3 Time spent cycling, running, walking, standing, sitting, and lying: a cross-sectional analysis of accelerometer-data from 930 Danes aged 15-94 in the Moving Denmark study (opens in new tab)
- Physical activity, sedentary behavior, and the risk of type 2 diabetes: A two-sample Mendelian Randomization analysis in the European population (opens in new tab)
- Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants (opens in new tab)
- POPULATION ANALYSIS OF MORTALITY RISK: PREDICTIVE MODELS USING MOTION SENSORS FOR 100,000 PARTICIPANTS IN THE UK BIOBANK NATIONAL COHORT (opens in new tab)
- Prevalence and correlates of compliance with 24-h movement guidelines among children from urban and rural Kenya—The Kenya-LINX project (opens in new tab)
- Prognostic impact of physical activity patterns after percutaneous coronary intervention. Protocol for a prospective longitudinal cohort. The PIPAP study (opens in new tab)
- Prospective Associations of Accelerometer‐Assessed Physical Activity With Mortality and Incidence of Cardiovascular Disease Among Adults With Hypertension: The UK Biobank Study (opens in new tab)
- Prospective Associations of Daily Step Counts and Intensity With Cancer and Cardiovascular Disease Incidence and Mortality and All-Cause Mortality (opens in new tab)
- Putting Temperature into the Equation: Development and Validation of Algorithms to Distinguish Non-Wearing from Inactivity and Sleep in Wearable Sensors (opens in new tab)
- Quantification of acceleration as activity counts in ActiGraph wearable (opens in new tab)
- Sedentary behaviour, physical activity, and sleep among office workers during the COVID-19 pandemic: a comparison of Brazil and Sweden (opens in new tab)
- Sociodemographic differences in 24-hour time-use behaviours in New Zealand children (opens in new tab)
The contribution of Gaelic football participation to physical activity in Irish youth
- The Effects of a Lifestyle Intervention Supported by the InterWalk Smartphone App on Increasing Physical Activity Among Persons With Type 2 Diabetes: Parallel-Group, Randomized Trial (opens in new tab)
- The Health Effects of 14 Weeks of Physical Activity in a Real-Life Setting for Adults with Intellectual Disabilities (opens in new tab)
- The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System (opens in new tab)
- The UP150: A Multifactorial Environmental Intervention to Promote Employee Physical and Mental Well-Being (opens in new tab)
- Within-Person Associations of Accelerometer-Assessed Physical Activity With Time-Varying Determinants in Older Adults: Time-Based Ecological Momentary Assessment Study (Preprint) (opens in new tab)
2021
- A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living (opens in new tab)
- A school-based, peer-led programme to increase physical activity among 13- to 14-year-old adolescents: the GoActive cluster RCT (opens in new tab)
- A study protocol for a randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) Study (opens in new tab)
- Association of genetic liability for psychiatric disorders with accelerometer-assessed physical activity in the UK Biobank (opens in new tab)
- Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents (opens in new tab)
- Changes in Workers’ Physical Activity and Sedentary Behavior during the COVID-19 Pandemic (opens in new tab)
- Comparison of Outcomes Derived from the ActiGraph GT3X+ and the Axivity AX3 Accelerometer to Objectively Measure 24-Hour Movement Behaviors in Adults: A Cross-Sectional Study (opens in new tab)
- Differences in Accelerometer-Measured Patterns of Physical Activity and Sleep/Rest Between Ethnic Groups and Age: An Analysis of UK Biobank (opens in new tab)
- Does Childcare Work Promote Cardiorespiratory Fitness and Health? A Cross-Sectional Study of Danish Childcare Workers Based on Accelerometry and Heart Rate Measurements (opens in new tab)
- Effects of technology-based physical activity interventions for women after bariatric surgery: study protocol for a three-arm randomised controlled trial (opens in new tab)
- Interventions for reducing sedentary behaviour in people with stroke (opens in new tab)
- Joint association between accelerometry-measured daily combination of time spent in physical activity, sedentary behaviour and sleep and all-cause mortality: a pooled analysis of six prospective cohorts using compositional analysis (opens in new tab)
- Measurement of Physical Activity by Shoe-Based Accelerometers—Calibration and Free-Living Validation (opens in new tab)
- Opposing patterns in self-reported and measured physical activity levels in middle-aged adults (opens in new tab)
- Physical activity in relation to circulating hormone concentrations in 117,100 men in UK Biobank (opens in new tab)
- Physical activity is associated with reduced risk of liver disease in the prospective UK Biobank cohort (opens in new tab)
- Physical activity, sedentary behavior and risk of coronary artery disease, myocardial infarction and ischemic stroke: a two-sample Mendelian randomization study (opens in new tab)
- Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease (opens in new tab)
- Randomised controlled trial comparing two group-based exercise programmes (team sport vs circuit training) on men’s health: study protocol (opens in new tab)
- Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease (opens in new tab)
- Resemblance in Physical Activity in Families with Children in Time Segments during the Week: The Lolland–Falster Health Study (opens in new tab)
Sedentary time across the transition to retirement and after an activity tracker intervention
- Temporal Alignment of Dual Monitor Accelerometry Recordings (opens in new tab)
- The 7th International Conference on Ambulatory Monitoring of Physical Activity and Movement (opens in new tab)
- The Association between Education Outside the Classroom and Physical Activity: Differences Attributable to the Type of Space? (opens in new tab)
- The school policy, social, and physical environment and change in adolescent physical activity: An exploratory analysis using the LASSO (opens in new tab)
- Validation of open-source step-counting algorithms for wrist-worn tri-axial accelerometers in cardiovascular patients (opens in new tab)
- Validity of a Non-Proprietary Algorithm for Identifying Lying Down Using Raw Data from Thigh-Worn Triaxial Accelerometers (opens in new tab)
- Validity of the Sedentary Behavior Questionnaire in European Older Adults Using English, Spanish, German and Danish Versions (opens in new tab)
- Wearable Based Calibration of Contactless In-home Motion Sensors for Physical Activity Monitoring in Community-Dwelling Older Adults (opens in new tab)
- Working from home during the COVID-19 outbreak in Sweden: effects on 24-h time-use in office workers (opens in new tab)
2020
- Accelerometer-derived Physical Activity Intensities And Its Correlation With Cardiovascular Disease Risk In Factory Workers (opens in new tab)
- Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study (opens in new tab)
- Association of Timing and Balance of Physical Activity and Rest/Sleep With Risk of COVID-19: A UK Biobank Study (opens in new tab)
- Body size and composition, physical activity and sedentary time in relation to endogenous hormones in premenopausal and postmenopausal women: Findings from the <scp>UK</scp> Biobank (opens in new tab)
- Can childcare work be designed to promote moderate and vigorous physical activity, cardiorespiratory fitness and health? Study protocol for the Goldilocks-childcare randomised controlled trial (opens in new tab)
- Comparison of Sedentary Time Between Thigh-Worn and Wrist-Worn Accelerometers (opens in new tab)
- Concurrent Validity of ActiGraph GT3X+ and Axivity AX3 Accelerometers for Estimating Physical Activity and Sedentary Behavior (opens in new tab)
- Describing objectively measured intensive care nurses’ physical work activity behavioural patterns during a 12‐hr shift (opens in new tab)
- Effectiveness and cost-effectiveness of the GoActive intervention to increase physical activity among UK adolescents: A cluster randomised controlled trial (opens in new tab)
- Estimating physical activity from self-reported behaviours in large-scale population studies using network harmonisation: findings from UK Biobank and associations with disease outcomes (opens in new tab)
- Evaluating the effects of an exercise program (Staying UpRight) for older adults in long-term care on rates of falls: study protocol for a randomised controlled trial (opens in new tab)
- Falls Risk in Relation to Activity Exposure in High-Risk Older Adults (opens in new tab)
- Impact of Reduced Sampling Rate on Accelerometer-based Physical Activity Monitoring and Machine Learning Activity Classification (opens in new tab)
- Is device-based total and domain-specific sedentary behaviour associated with psychological distress in Flemish workers? (opens in new tab)
- Physical activity and breast cancer risk: results from the UK Biobank prospective cohort (opens in new tab)
- Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough? (opens in new tab)
- Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular disease risk (opens in new tab)
- Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study (opens in new tab)
- Simple Method for the Objective Activity Type Assessment with Preschoolers, Children and Adolescents (opens in new tab)
- Standing up against office sitting: A study protocol (opens in new tab)
- The occupational sitting and physical activity questionnaire (OSPAQ): a validation study with accelerometer-assessed measures (opens in new tab)
- The Occupational Sitting and Physical Activity Questionnaire (OSPAQ): a validation study with objective accelerometer registrations (opens in new tab)
- The Relation between Domain-Specific Physical Behaviour and Cardiorespiratory Fitness: A Cross-Sectional Compositional Data Analysis on the Physical Activity Health Paradox Using Accelerometer-Assessed Data (opens in new tab)
- Use of wearable technology to assess activity in cognitively impaired populations: Inside care homes and the community (opens in new tab)
- Workplace activity classification from shoe-based movement sensors (opens in new tab)
2019
A basis for harmonisation of accelerometer physical activity outcomes in epidemiology
- A data-driven, meaningful, easy to interpret, population-independent accelerometer outcome variable for global surveillance (opens in new tab)
- A data-driven, meaningful, easy to interpret, standardised accelerometer outcome variable for global surveillance (opens in new tab)
- A Dual-Accelerometer System for Detecting Human Movement in a Free-living Environment (opens in new tab)
- Accelerometer compared with questionnaire measures of physical activity in relation to body size and composition: a large cross-sectional analysis of UK Biobank (opens in new tab)
- Activity Intensity, Volume, and Norms: Utility and Interpretation of Accelerometer Metrics (opens in new tab)
- Assessing physiological response mechanisms and the role of psychosocial job resources in the physical activity health paradox: study protocol for the Flemish Employees’ Physical Activity (FEPA) study (opens in new tab)
Can 24-hour heart rate be an underlying mechanism of the occupational and leisure time physical activity paradox?
- COMPARATIVE STUDY OF MEASURING PHYSICAL ACTIVITY AMONG SPORT STUDENTS (opens in new tab)
- Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) (opens in new tab)
- Effects of Frequency Filtering on Intensity and Noise in Accelerometer-Based Physical Activity Measurements (opens in new tab)
- Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study (opens in new tab)
- Evaluating of the Axivity accelerometers algorithm in measurement of physical activity intensity in boys and girls (opens in new tab)
- GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data (opens in new tab)
- Physical activity and risk of lung cancer: a two-sample Mendelian randomization study (opens in new tab)
- Physical activity of UK adults with chronic disease: cross-sectional analysis of accelerometer-measured physical activity in 96 706 UK Biobank participants (opens in new tab)
- Promoting Physical Activity With Self-Tracking and Mobile-Based Coaching for Cardiac Surgery Patients During the Discharge–Rehabilitation Gap: Protocol for a Randomized Controlled Trial (Preprint) (opens in new tab)
- Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO2net Instead of MET for Age-Equivalent Physical Activity Intensity (opens in new tab)
- Specific physical activities, sedentary behaviours and sleep as long-term predictors of accelerometer-measured physical activity in 91,648 adults: a prospective cohort study (opens in new tab)
- Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time (opens in new tab)
- The ActiGraph counts processing and the assessment of vigorous activity (opens in new tab)
2018
- A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults (opens in new tab)
- Accelerometer-derived physical activity in those with cardio-metabolic disease compared to healthy adults: a UK Biobank study of 52,556 participants (opens in new tab)
- Association of objectively measured physical activity with brain structure: UK Biobank study (opens in new tab)
- Children&rsquo;s Cortisol and Cell-Free DNA Trajectories in Relation to Sedentary Behavior and Physical Activity in School: A Longitudinal Analysis (opens in new tab)
Development of Two-Regression Models to Predict Energy Expenditure in Youth Using a GENEActiv and Axivity AX3 Activity Monitor
- Effect of a 26-month floorball training on male elderly's cardiovascular fitness, glucose control, body composition, and functional capacity (opens in new tab)
- Fusion of Heart Rate, Respiration and Motion Measurements from a Wearable Sensor System to Enhance Energy Expenditure Estimation (opens in new tab)
- Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants (opens in new tab)
- The association between psychosocial factors and change in lifestyle behaviour following lifestyle advice and information about cardiovascular disease risk (opens in new tab)
- The associations between the response efficacy and objective and subjective change in physical activity and diet in the Information and Risk Modification trial (opens in new tab)
- Wear-Time Compliance with a Dual-Accelerometer System for Capturing 24-h Behavioural Profiles in Children and Adults (opens in new tab)
2017
- Accelerometer-assessed Physical Activity in Epidemiology (opens in new tab)
- Adiposity and grip strength as long-term predictors of objectively measured physical activity in 93 015 adults: the UK Biobank study (opens in new tab)
Effect of a six-week virtual reality treadmill training falls prevention intervention on macro gait outcomes of free-living walking activity
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor (opens in new tab)
- Genome-wide association study of habitual physical activity in over 277,000 UK Biobank participants identifies multiple variants including <i>CADM2</i> and <i>APOE</i> (opens in new tab)
- Long-term effect of smartphone-delivered Interval Walking Training on physical activity in patients with type 2 diabetes: protocol for a parallel group single-blinded randomised controlled trial (opens in new tab)
- Measuring Children's Physical Activity (opens in new tab)
- The Validity and Value of Self-reported Physical Activity and Accelerometry in People With Schizophrenia: A Population-Scale Study of the UK Biobank (opens in new tab)
2016
- Detection of physical activity types with accelerometers in adolescents during semi-structured free-living (opens in new tab)
- Pilot Randomised Controlled Trial of a Web-Based Intervention to Promote Healthy Eating, Physical Activity and Meaningful Social Connections Compared with Usual Care Control in People of Retirement Age Recruited from Workplaces (opens in new tab)
- Validation of algorithms for physical activity type detection in children using raw acceleration data (opens in new tab)
- Validation of the AX3 triaxial accelerometer in older functionally impaired people (opens in new tab)