about
Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometerA Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn AccelerometerPhysical activity and adiposity markers at older ages: accelerometer vs questionnaire data.Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents.Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity.Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometryChildren treated for severe acute malnutrition experience a rapid increase in physical activity a few days after admission.Healthy obesity and objective physical activityThe effect of percutaneous coronary intervention on habitual physical activity in older patientsLarge Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors.Objectively-measured physical activity in children is influenced by social indicators rather than biological lifecourse factors: Evidence from a Brazilian cohort.Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study.Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry.Evaluation of raw acceleration sedentary thresholds in children and adults.Changes in physical activity after bariatric surgery: using objective and self-reported measures.Wear Compliance and Activity in Children Wearing Wrist- and Hip-Mounted Accelerometers.Estimating energy expenditure from raw accelerometry in three types of locomotion.Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.Estimating activity-related energy expenditure under sedentary conditions using a tri-axial seismic accelerometer.The importance of nuance in statements about methods for human energy expenditure estimation that use motion sensors.Estimating sleep parameters using an accelerometer without sleep diaryEstimating sleep parameters using an accelerometer without sleep diaryGenetic studies of accelerometer-based sleep measures in 85,670 individuals yield new insights into human sleep behaviourSegmenting accelerometer data from daily life with unsupervised machine learningGenome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythmsGenome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimatesGWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimatesGenome-wide association analyses of chronotype in 697,828 individuals provides new insights into circadian rhythms in humans and links to diseaseCognitive behavioural therapy with optional graded exercise therapy in patients with severe fatigue with myotonic dystrophy type 1: a multicentre, single-blind, randomised trialGenetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviourReproducibility of a triaxial seismic accelerometer (DynaPort)Novel daily energy expenditure estimation by using objective activity type classification: where do we go from here?The challenge of assessing physical activity in populationsBiological and clinical insights from genetics of insomnia symptomsThe association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokersGenome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes
P50
Q28742008-2C48302A-2912-419D-BB07-5E1636468590Q30488545-68E815B5-583A-4259-B0FA-707711BAC77AQ30907471-0DEFC112-7337-4972-A435-1399DD64AE30Q34295340-C8415564-9D0B-4590-9910-7E46A2408772Q34692287-C556BF99-88B0-4BDA-B3B6-1BB4D1F68ACDQ34769403-909B216E-7933-482E-AE0A-D9678292DD91Q35127689-1AA11B12-26E6-4AAF-9045-AA9DF7777559Q35891485-10E434F3-D731-40D8-9ECD-37001384FB94Q36212215-DAB7B033-B117-4BA1-BD5C-716B6EBFF009Q36266400-3BB3B5EE-1755-402A-B921-4140094FD3E6Q37612585-89E8738F-0648-42E2-BB40-B9B9D5D495A2Q37696394-1F9A71F1-95F9-41F2-B43A-D7FF3E1E2C19Q37735258-13B39CE6-EEA2-48F9-A906-783395658D16Q38974614-201C9B73-41B0-4B93-AFFA-16DC2BE5F1F4Q39160085-8E1821D0-EF61-42CA-A20C-FBA0CD4F8A64Q39258544-5F55FD62-ADB7-4A89-879F-F9638F572BFDQ40534816-307962AD-B094-4743-B9BB-245A846974F5Q45007507-FC0465EE-8F00-4F35-9F19-133B76331B74Q51082085-7FCE0E6E-7570-4818-A486-E9BCC3FBB6D0Q51848642-1D99D378-55FA-4418-B7BE-B9DF093AB09BQ53702535-CA9E4929-1C04-4D0B-BC4B-65449508C0F1Q57901955-91212273-9439-4839-9A7D-B84C9A8EE12AQ58699660-898058D7-48A8-4DDA-B9F0-BE6C113FC114Q59660475-82B0993C-36D0-4047-B691-16EFC1E25357Q60914576-11BD23CC-CAF9-4B56-BEB5-7D9F55681F82Q61443024-61762B50-51D8-4C8B-A0C1-7D972F707741Q63352525-86750AFA-1637-4E68-BEAA-2BB315E2E38DQ63352739-7C54DC56-BF61-4098-8ED6-A04637A3472CQ63352740-375BFB71-24F2-42A4-AEC2-746DB42CC918Q63367566-01946127-8ACF-4D75-978A-F3CE2ACF3F89Q64073389-CD5219EE-1DC0-4550-95E3-F8BD0343B7A5Q83460149-CDDE7931-12C4-479D-AD07-3C7BDD5E32F9Q84284918-09005877-BDF5-43A2-884A-CF72293ACC51Q85348001-DEC63F9E-7B0E-42B1-9B49-3A0279673308Q91908192-67094558-3FBF-4106-BAB8-E350C23B68C3Q91936999-EC7D956B-2326-4F4B-BD06-2604578973E5Q92602631-325927BA-E849-45B5-A61D-F23E44F0926E
P50
description
researcher, ORCID id # 0000-0003-0182-9008
@en
wetenschapper
@nl
name
Vincent T van Hees
@ast
Vincent T van Hees
@en
Vincent T van Hees
@es
Vincent T van Hees
@nl
type
label
Vincent T van Hees
@ast
Vincent T van Hees
@en
Vincent T van Hees
@es
Vincent T van Hees
@nl
altLabel
Vincent van Hees
@en
prefLabel
Vincent T van Hees
@ast
Vincent T van Hees
@en
Vincent T van Hees
@es
Vincent T van Hees
@nl
P106
P31
P496
0000-0003-0182-9008