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Items: 31


Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes.

Wang H, Lane JM, Jones SE, Dashti HS, Ollila HM, Wood AR, van Hees VT, Brumpton B, Winsvold BS, Kantojärvi K, Palviainen T, Cade BE, Sofer T, Song Y, Patel K, Anderson SG, Bechtold DA, Bowden J, Emsley R, Kyle SD, Little MA, Loudon AS, Scheer FAJL, Purcell SM, Richmond RC, Spiegelhalder K, Tyrrell J, Zhu X, Hublin C, Kaprio JA, Kristiansson K, Sulkava S, Paunio T, Hveem K, Nielsen JB, Willer CJ, Zwart JA, Strand LB, Frayling TM, Ray D, Lawlor DA, Rutter MK, Weedon MN, Redline S, Saxena R.

Nat Commun. 2019 Aug 13;10(1):3503. doi: 10.1038/s41467-019-11456-7.


The association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokers.

Benadjaoud MA, Menai M, van Hees VT, Zipunnikov V, Regnaux JP, Kivimäki M, Singh-Manoux A, Sabia S.

Sci Rep. 2019 Jul 16;9(1):10270. doi: 10.1038/s41598-019-46771-y.


Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour.

Jones SE, van Hees VT, Mazzotti DR, Marques-Vidal P, Sabia S, van der Spek A, Dashti HS, Engmann J, Kocevska D, Tyrrell J, Beaumont RN, Hillsdon M, Ruth KS, Tuke MA, Yaghootkar H, Sharp SA, Ji Y, Harrison JW, Freathy RM, Murray A, Luik AI, Amin N, Lane JM, Saxena R, Rutter MK, Tiemeier H, Kutalik Z, Kumari M, Frayling TM, Weedon MN, Gehrman PR, Wood AR.

Nat Commun. 2019 Apr 5;10(1):1585. doi: 10.1038/s41467-019-09576-1.


Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates.

Dashti HS, Jones SE, Wood AR, Lane JM, van Hees VT, Wang H, Rhodes JA, Song Y, Patel K, Anderson SG, Beaumont RN, Bechtold DA, Bowden J, Cade BE, Garaulet M, Kyle SD, Little MA, Loudon AS, Luik AI, Scheer FAJL, Spiegelhalder K, Tyrrell J, Gottlieb DJ, Tiemeier H, Ray DW, Purcell SM, Frayling TM, Redline S, Lawlor DA, Rutter MK, Weedon MN, Saxena R.

Nat Commun. 2019 Mar 7;10(1):1100. doi: 10.1038/s41467-019-08917-4.


Biological and clinical insights from genetics of insomnia symptoms.

Lane JM, Jones SE, Dashti HS, Wood AR, Aragam KG, van Hees VT, Strand LB, Winsvold BS, Wang H, Bowden J, Song Y, Patel K, Anderson SG, Beaumont RN, Bechtold DA, Cade BE, Haas M, Kathiresan S, Little MA, Luik AI, Loudon AS, Purcell S, Richmond RC, Scheer FAJL, Schormair B, Tyrrell J, Winkelman JW, Winkelmann J; HUNT All In Sleep, Hveem K, Zhao C, Nielsen JB, Willer CJ, Redline S, Spiegelhalder K, Kyle SD, Ray DW, Zwart JA, Brumpton B, Frayling TM, Lawlor DA, Rutter MK, Weedon MN, Saxena R.

Nat Genet. 2019 Mar;51(3):387-393. doi: 10.1038/s41588-019-0361-7. Epub 2019 Feb 25.


Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.

Jones SE, Lane JM, Wood AR, van Hees VT, Tyrrell J, Beaumont RN, Jeffries AR, Dashti HS, Hillsdon M, Ruth KS, Tuke MA, Yaghootkar H, Sharp SA, Jie Y, Thompson WD, Harrison JW, Dawes A, Byrne EM, Tiemeier H, Allebrandt KV, Bowden J, Ray DW, Freathy RM, Murray A, Mazzotti DR, Gehrman PR, Lawlor DA, Frayling TM, Rutter MK, Hinds DA, Saxena R, Weedon MN.

Nat Commun. 2019 Jan 29;10(1):343. doi: 10.1038/s41467-018-08259-7.


Estimating sleep parameters using an accelerometer without sleep diary.

van Hees VT, Sabia S, Jones SE, Wood AR, Anderson KN, Kivimäki M, Frayling TM, Pack AI, Bucan M, Trenell MI, Mazzotti DR, Gehrman PR, Singh-Manoux BA, Weedon MN.

Sci Rep. 2018 Aug 28;8(1):12975. doi: 10.1038/s41598-018-31266-z.


The importance of nuance in statements about methods for human energy expenditure estimation that use motion sensors.

van Hees VT.

Eur J Clin Nutr. 2017 Sep;71(9):1136-1137. doi: 10.1038/ejcn.2017.65. Epub 2017 May 3. No abstract available.


Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study.

Menai M, van Hees VT, Elbaz A, Kivimaki M, Singh-Manoux A, Sabia S.

Sci Rep. 2017 Apr 3;8:45772. doi: 10.1038/srep45772.


Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.

Doherty A, Jackson D, Hammerla N, Plötz T, Olivier P, Granat MH, White T, van Hees VT, Trenell MI, Owen CG, Preece SJ, Gillions R, Sheard S, Peakman T, Brage S, Wareham NJ.

PLoS One. 2017 Feb 1;12(2):e0169649. doi: 10.1371/journal.pone.0169649. eCollection 2017.


Objectively-measured physical activity in children is influenced by social indicators rather than biological lifecourse factors: Evidence from a Brazilian cohort.

Knuth AG, Silva ICM, van Hees VT, Cordeira K, Matijasevich A, Barros AJD, Santos I, Ekelund U, Hallal PC.

Prev Med. 2017 Apr;97:40-44. doi: 10.1016/j.ypmed.2016.12.051. Epub 2016 Dec 31.


The effect of percutaneous coronary intervention on habitual physical activity in older patients.

Charman SJ, van Hees VT, Quinn L, Dunford JR, Bawamia B, Veerasamy M, Trenell MI, Jakovljevic DG, Kunadian V.

BMC Cardiovasc Disord. 2016 Dec 3;16(1):248.


Evaluation of raw acceleration sedentary thresholds in children and adults.

Hildebrand M, Hansen BH, van Hees VT, Ekelund U.

Scand J Med Sci Sports. 2017 Dec;27(12):1814-1823. doi: 10.1111/sms.12795. Epub 2016 Nov 22.


Changes in physical activity after bariatric surgery: using objective and self-reported measures.

Afshar S, Seymour K, Kelly SB, Woodcock S, van Hees VT, Mathers JC.

Surg Obes Relat Dis. 2017 Mar;13(3):474-483. doi: 10.1016/j.soard.2016.09.012. Epub 2016 Sep 13.


Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry.

van Hees VT, Thaler-Kall K, Wolf KH, Brønd JC, Bonomi A, Schulze M, Vigl M, Morseth B, Hopstock LA, Gorzelniak L, Schulz H, Brage S, Horsch A.

Methods Inf Med. 2016 Dec 7;55(6):525-532. Epub 2016 Oct 7.


A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer.

van Hees VT, Sabia S, Anderson KN, Denton SJ, Oliver J, Catt M, Abell JG, Kivimäki M, Trenell MI, Singh-Manoux A.

PLoS One. 2015 Nov 16;10(11):e0142533. doi: 10.1371/journal.pone.0142533. eCollection 2015.


Healthy obesity and objective physical activity.

Bell JA, Hamer M, van Hees VT, Singh-Manoux A, Kivimäki M, Sabia S.

Am J Clin Nutr. 2015 Aug;102(2):268-75. doi: 10.3945/ajcn.115.110924. Epub 2015 Jul 8.


Physical activity and adiposity markers at older ages: accelerometer vs questionnaire data.

Sabia S, Cogranne P, van Hees VT, Bell JA, Elbaz A, Kivimaki M, Singh-Manoux A.

J Am Med Dir Assoc. 2015 May 1;16(5):438.e7-13. doi: 10.1016/j.jamda.2015.01.086. Epub 2015 Mar 6.


Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry.

da Silva IC, van Hees VT, Ramires VV, Knuth AG, Bielemann RM, Ekelund U, Brage S, Hallal PC.

Int J Epidemiol. 2014 Dec;43(6):1959-68. doi: 10.1093/ije/dyu203. Epub 2014 Oct 30.


Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents.

van Hees VT, Fang Z, Langford J, Assah F, Mohammad A, da Silva IC, Trenell MI, White T, Wareham NJ, Brage S.

J Appl Physiol (1985). 2014 Oct 1;117(7):738-44. doi: 10.1152/japplphysiol.00421.2014. Epub 2014 Aug 7.


Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.

Hildebrand M, VAN Hees VT, Hansen BH, Ekelund U.

Med Sci Sports Exerc. 2014 Sep;46(9):1816-24. doi: 10.1249/MSS.0000000000000289.


Children treated for severe acute malnutrition experience a rapid increase in physical activity a few days after admission.

Faurholt-Jepsen D, Hansen KB, van Hees VT, Christensen LB, Girma T, Friis H, Brage S.

J Pediatr. 2014 Jun;164(6):1421-4. doi: 10.1016/j.jpeds.2014.02.014. Epub 2014 Mar 20.


Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors.

Sabia S, van Hees VT, Shipley MJ, Trenell MI, Hagger-Johnson G, Elbaz A, Kivimaki M, Singh-Manoux A.

Am J Epidemiol. 2014 Mar 15;179(6):781-90. doi: 10.1093/aje/kwt330. Epub 2014 Feb 4.


Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity.

van Hees VT, Gorzelniak L, Dean León EC, Eder M, Pias M, Taherian S, Ekelund U, Renström F, Franks PW, Horsch A, Brage S.

PLoS One. 2013 Apr 23;8(4):e61691. doi: 10.1371/journal.pone.0061691. Print 2013.


Impact of study design on development and evaluation of an activity-type classifier.

van Hees VT, Golubic R, Ekelund U, Brage S.

J Appl Physiol (1985). 2013 Apr;114(8):1042-51. doi: 10.1152/japplphysiol.00984.2012. Epub 2013 Feb 21.


Estimating energy expenditure from raw accelerometry in three types of locomotion.

Brandes M, VAN Hees VT, Hannöver V, Brage S.

Med Sci Sports Exerc. 2012 Nov;44(11):2235-42. doi: 10.1249/MSS.0b013e318260402b.


Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer.

van Hees VT, Renström F, Wright A, Gradmark A, Catt M, Chen KY, Löf M, Bluck L, Pomeroy J, Wareham NJ, Ekelund U, Brage S, Franks PW.

PLoS One. 2011;6(7):e22922. doi: 10.1371/journal.pone.0022922. Epub 2011 Jul 29.


Novel daily energy expenditure estimation by using objective activity type classification: where do we go from here?

van Hees VT, Ekelund U.

J Appl Physiol (1985). 2009 Sep;107(3):639-40. doi: 10.1152/japplphysiol.00793.2009. Epub 2009 Jul 23. No abstract available.


Intergeneration accelerometer differences and correction for on-board frequency-based filtering.

Brage S, van Hees VT, Brage N.

J Appl Physiol (1985). 2009 Apr;106(4):1473; author reply 1474. doi: 10.1152/japplphysiol.00019.2009. No abstract available.


Estimating activity-related energy expenditure under sedentary conditions using a tri-axial seismic accelerometer.

van Hees VT, van Lummel RC, Westerterp KR.

Obesity (Silver Spring). 2009 Jun;17(6):1287-92. doi: 10.1038/oby.2009.55. Epub 2009 Mar 12.


Reproducibility of a triaxial seismic accelerometer (DynaPort).

Van Hees VT, Slootmaker SM, De Groot G, Van Mechelen W, Van Lummel RC.

Med Sci Sports Exerc. 2009 Apr;41(4):810-7. doi: 10.1249/MSS.0b013e31818ff636.


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