Sleep and related disorders

130 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.

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2026

  1. 0846 Do Wearables Agree? Concordance of Commercial and Research-Grade Sleep Measures in Older Adults Across Healthy and Clinical Cohorts (opens in new tab)
  2. Accelerometer-derived circadian rhythm and colorectal cancer risk in UK Biobank: a prospective cohort study (opens in new tab)
  3. Acute sleep rebound following sleep restriction is associated with reduced mortality risk (opens in new tab)
  4. Are different consumer sleep technologies measuring the same essential aspects of sleep? (opens in new tab)
  5. Assessment of children’s sleep using thigh-worn Axivity AX3 accelerometers (opens in new tab)
  6. Criterion validity assessment of the 24-hour movement behaviors questionnaire (24HMBQ) for Chinese college students: validation study (opens in new tab)
  7. Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults (opens in new tab)
  8. Evaluating Open-Source Wrist-Worn Accelerometer Models for Sedentary Time Detection Against Thigh-Worn Accelerometer Data (opens in new tab)
  9. Feasibility Study of a Novel Method of Contactless Radar Sensing for Sleep Monitoring across Adolescence (8-18yrs): Ambient-Teens (opens in new tab)
  10. From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices (opens in new tab)
  11. Home-Based REM Sleep Without Atonia in Patients with Parkinson’s Disease: A Post Hoc Analysis of the ZEAL Study (opens in new tab)
  12. Objectively-Defined Sleep Regularity Is Associated with Macrovascular and Microvascular Complications among Individuals with Type 2 Diabetes Mellitus: A Cohort Study (opens in new tab)
  13. Reallocation of 24-hour physical behaviour composition and mortality: exploring effect modification by sleep characteristics (opens in new tab)
  14. Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in UK Biobank (opens in new tab)
  15. 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)
  16. 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)
  17. Timing of physical activity and cardiovascular and mortality risk in patients with type 2 diabetes: a UK biobank cohort study (opens in new tab)
  18. Uncovering the pattern of physical behaviours among Swedish ambulance personnel: is the type of work shift important? (opens in new tab)
  19. Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk (opens in new tab)

2025

  1. Accelerometery 24-hour movement behaviours and health markers in the European old population: iso-temporal substitution regression (opens in new tab)
  2. Accelerometer‐measured physical activity timing with incident dementia (opens in new tab)
  3. Accelerometer‐measured weekend catch‐up sleep and incident dementia: A prospective cohort study (opens in new tab)
  4. Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations (opens in new tab)
  5. Age- and sex-related differences in sleep patterns and their relations to self-reported sleep and mood (opens in new tab)
  6. Association between device-based measured physical activity timing and depression risk: a prospective cohort study of UK Biobank participants (opens in new tab)
  7. Associations between the 24-h Activity Daily Cycle and Incident Dementia (opens in new tab)
  8. Associations of Device-Measured Sleep Duration, Regularity, and Efficiency with Cardiometabolic Health in Adults: Findings from the ProPASS Consortium (opens in new tab)
  9. Classification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques (opens in new tab)
  10. Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis (opens in new tab)
  11. Delayed phase in rest-activity rhythms is associated with inflammation and cognitive performance in people living with HIV (opens in new tab)
  12. Dose-response associations of device-measured sleep regularity and duration with incident dementia in 82391 UK adults (opens in new tab)
  13. Estimating the sleep period time window based on a hip-worn accelerometer collected in children and adults (opens in new tab)
  14. Genome-wide association analysis of composite sleep health scores in 413,904 individuals (opens in new tab)
  15. Genome-Wide Association Study Identifies Genetic Loci Involved with Sleep Fragmentation

  16. Health risks and genetic architecture of objectively measured multidimensional sleep health (opens in new tab)
  17. Impact of automated insulin delivery on subjective and objective sleep in children and young adults with very high <scp>HbA1c</scp> : Sleep outcomes from the <scp>CO</scp> ‐ <scp>PILOT</scp> randomised controlled trial (opens in new tab)
  18. Longitudinal remote sleep and cognitive research in older adults with mild cognitive impairment and dementia: a prospective feasibility cohort study (opens in new tab)
  19. Mesure de l’activité physique favorable à la santé : développement d’une approche objective et in situ (opens in new tab)
  20. Minimum and optimal combined variations in sleep, physical activity, and nutrition in relation to all-cause mortality risk (opens in new tab)
  21. Neuroimaging and Electrophysiology of the Association Between Sleep, the Locus Coeruleus, and Alzheimer’s Disease

  22. Physical activity, neuropsychiatric symptoms, and physical function in nursing home residents: the HUNT 70+ study (opens in new tab)
  23. Process evaluation in a randomised controlled trial of DREAMS-START (dementia related manual for sleep; strategies for relatives) for sleep disturbance in people with dementia and their carers (opens in new tab)
  24. Promoting healthy sleep patterns for diabetes prevention: joint effects of sleep regularity and sleep duration in a prospective Chinese cohort (opens in new tab)
  25. 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)
  26. Recent lifestyle change impacts sleep and circadian rhythms among the Indigenous peoples of Peninsular Malaysia (opens in new tab)
  27. Regular sleep patterns, not just duration, critical for mental health: association of accelerometer-derived sleep regularity with incident depression and anxiety (opens in new tab)
  28. Sleep as a window of cardiometabolic health: The potential of digital sleep and circadian biomarkers (opens in new tab)
  29. 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)
  30. The crosstalk between the anterior hypothalamus and the locus coeruleus during wakefulness is associated with low frequency oscillations power during sleep (opens in new tab)
  31. 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)
  32. “Like taking part in Star Wars”: A thematic analysis of acceptability and experiences of older adults participating in remote longitudinal sleep and dementia research (opens in new tab)

2024

  1. 24 hour behaviors and dementia risk (opens in new tab)
  2. A comparison of sleep metrics from mid-thigh and low-back accelerometers to wrist based data using open-source algorithms (opens in new tab)
  3. A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information (opens in new tab)
  4. Accelerometer-measured 24-hour movement behaviours over 7 days in Malaysian children and adolescents: A cross-sectional study (opens in new tab)
  5. Accelerometer-Measured Daily Behaviors That Mediate the Association Between Refractive Status and Depressive Disorders (opens in new tab)
  6. Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank (opens in new tab)
  7. 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)
  8. Association between Accelerometer-Measured Irregular Sleep Duration and Longitudinal Changes in Body Mass Index in Older Adults (opens in new tab)
  9. Association Between Accelerometer-Measured Irregular Sleep Duration and Type 2 Diabetes Risk: A Prospective Cohort Study in the UK Biobank (opens in new tab)
  10. Association of physical activity pattern and risk of Parkinson’s disease (opens in new tab)
  11. Associations between accelerometer‐measured circadian rest‐activity rhythm, brain structural and genetic mechanisms, and dementia (opens in new tab)
  12. 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)
  13. Clinical and cost-effectiveness of DREAMS START (Dementia RElAted Manual for Sleep; STrAtegies for RelaTives) for people living with dementia and their carers: a study protocol for a parallel multicentre randomised controlled trial (opens in new tab)
  14. Cognitive training and promoting a healthy lifestyle for individuals with isolated REM sleep behavior disorder: study protocol of the delayed-start randomized controlled trial CogTrAiL-RBD (opens in new tab)
  15. Daytime napping and the incidence of Parkinson’s disease: a prospective cohort study with Mendelian randomization (opens in new tab)
  16. Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank (opens in new tab)
  17. Effectiveness of a Goldilocks Work intervention in childcare workers – A cluster-randomized controlled trial (opens in new tab)
  18. Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study (opens in new tab)
  19. Feasibility and usability of remote monitoring in Alzheimer's disease (opens in new tab)
  20. Genetic evidence for the causal effects of C–reactive protein on self-reported habitual sleep duration (opens in new tab)
  21. Misalignment Between Circadian Preference and Accelerometer-Derived Sleep-Wake Cycle With Increased Risk of Cardiometabolic Diseases (opens in new tab)
  22. Sex differences in the relationships between 24-h rest-activity patterns and plasma markers of Alzheimer’s disease pathology (opens in new tab)
  23. Sleep duration irregularity and risk for incident cardiovascular disease in the UK Biobank (opens in new tab)
  24. Sleep regularity and major adverse cardiovascular events: a device-based prospective study in 72 269 UK adults (opens in new tab)
  25. 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)
  26. The effects of daylight saving time clock changes on accelerometer‐measured sleep duration in the <scp>UK</scp> Biobank (opens in new tab)
  27. Validation of actigraphy sleep metrics in children aged 8 to 16 years: considerations for device type, placement and algorithms (opens in new tab)
  28. Weekend compensatory sleep is associated with reduced risk of heart disease: a prospective UK Biobank-based cohort study (opens in new tab)

2023

  1. 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)
  2. 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)
  3. 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)
  4. Association of circadian rest-activity rhythms with cardiovascular disease and mortality in type 2 diabetes (opens in new tab)
  5. Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank (opens in new tab)
  6. Associations of rest-activity rhythm disturbances with stroke risk and post-stroke adverse outcomes (opens in new tab)
  7. Correlations in sleeping patterns and circadian preference between spouses (opens in new tab)
  8. Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants (opens in new tab)
  9. Is Short Sleep Bad for the Brain? Brain Structure and Cognitive Function in Short Sleepers (opens in new tab)
  10. 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)
  11. Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep–wake cycles (opens in new tab)
  12. Minimum changes in sleep, physical activity, and nutrition associated with clinically important reductions in all-cause mortality risk: a prospective cohort study (opens in new tab)
  13. Objective assessment of sleep parameters using multimodal AX3 data in older participants (opens in new tab)
  14. Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality (opens in new tab)
  15. Sleep Regularity and Mortality: A Prospective Analysis in the UK Biobank (opens in new tab)
  16. Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study (opens in new tab)
  17. The Tech4Rest Randomized Controlled Trial (opens in new tab)
  18. 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)

2022

  1. 0188 Associations between Preschoolers’ Behavioral Difficulties and Variability in Sleep Duration and Bedtime (opens in new tab)
  2. Association Between Sleep Duration and Parkinson’s Disease Varied Across Related Orphan Receptor A rs2028122 Genotypes (opens in new tab)
  3. Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography (opens in new tab)
  4. Setting your clock: associations between timing of objective physical activity and cardiovascular disease risk in the general population (opens in new tab)
  5. Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study (opens in new tab)
  6. 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)

2021

  1. A prospective study of the relationships between movement and glycemic control during day and night in pregnancy (opens in new tab)
  2. Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study (opens in new tab)
  3. Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank (opens in new tab)
  4. Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents (opens in new tab)
  5. 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)
  6. Exploration of Sleep as a Specific Risk Factor for Poor Metabolic and Mental Health: A UK Biobank Study of 84,404 Participants (opens in new tab)
  7. 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)
  8. Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder: Practical Issues and Validation of a Potential Diagnostic Tool (opens in new tab)
  9. Music to improve sleep in adults with depression related insomnia: a randomized controlled trial using mixed methods design (opens in new tab)
  10. Objective assessment of sleep regularity in 60 000 UK Biobank participants using an open-source package (opens in new tab)
  11. Physical activity and sleep during the first week of anorexia nervosa inpatient care (opens in new tab)
  12. Stronger Associations Between Sleep and Mental Health in Adults with Autism: A UK Biobank Study (opens in new tab)

2020

  1. Accelerometry-assessed sleep duration and timing in late childhood and adolescence in Scottish schoolchildren: A feasibility study (opens in new tab)
  2. Association of Timing and Balance of Physical Activity and Rest/Sleep With Risk of COVID-19: A UK Biobank Study (opens in new tab)
  3. Equivalency of Sleep Estimates: Comparison of Three Research-Grade Accelerometers (opens in new tab)
  4. Genetic determinants of daytime napping and effects on cardiometabolic health (opens in new tab)
  5. M105. ACTIGRAPHIC MONITORING OF SLEEP-WAKE CYCLE IN SCHIZOPHRENIA OUTPATIENTS RECEIVING A LONG-ACTING INJECTABLE ANTIPSYCHOTIC: FEASIBILITY AND INITIAL RESULTS FROM A PROSPECTIVE RCT (opens in new tab)
  6. Music to improve sleep quality in adults with depression related insomnia (MUSTAFI): Study protocol for a randomized controlled trial (opens in new tab)

2019

  1. A Dual-Accelerometer System for Detecting Human Movement in a Free-living Environment (opens in new tab)
  2. Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour (opens in new tab)
  3. Monitoring Circadian Rhythm and Sleep Patterns Using Wrist-worn Temperature and 3-axis Accelerometer Sensors: A Study with Healthy Younger Adults, Healthy Older Adults, and People Living with Dementia

  4. 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)
  5. SWARM: South West Anaesthesia Research Matrix Accelerometers for Anaesthesia Research (AFAR); Wearable Movement Sensors to Measure Recovery from Day Case Surgery (opens in new tab)

2018

  1. Biological and clinical insights from genetics of insomnia symptoms (opens in new tab)
  2. Describing the diurnal relationships between objectively measured mother and infant physical activity (opens in new tab)
  3. Estimating sleep parameters using an accelerometer without sleep diary (opens in new tab)
  4. Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability (opens in new tab)