These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 30336601)

  • 21. Physical behaviors and their association with type 2 diabetes mellitus risk markers in urban South African middle-aged adults: an isotemporal substitutionapproach.
    Kufe CN; Goedecke JH; Masemola M; Chikowore T; Soboyisi M; Smith A; Westgate K; Brage S; Micklesfield LK
    BMJ Open Diabetes Res Care; 2022 Jul; 10(4):. PubMed ID: 35831028
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005-2006.
    Buman MP; Winkler EA; Kurka JM; Hekler EB; Baldwin CM; Owen N; Ainsworth BE; Healy GN; Gardiner PA
    Am J Epidemiol; 2014 Feb; 179(3):323-34. PubMed ID: 24318278
    [TBL] [Abstract][Full Text] [Related]  

  • 23. The association between reallocations of time and health using compositional data analysis: a systematic scoping review with an interactive data exploration interface.
    Miatke A; Olds T; Maher C; Fraysse F; Mellow ML; Smith AE; Pedisic Z; Grgic J; Dumuid D
    Int J Behav Nutr Phys Act; 2023 Oct; 20(1):127. PubMed ID: 37858243
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Breaking sitting with light activities vs structured exercise: a randomised crossover study demonstrating benefits for glycaemic control and insulin sensitivity in type 2 diabetes.
    Duvivier BM; Schaper NC; Hesselink MK; van Kan L; Stienen N; Winkens B; Koster A; Savelberg HH
    Diabetologia; 2017 Mar; 60(3):490-498. PubMed ID: 27904925
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults.
    Janssen I; Clarke AE; Carson V; Chaput JP; Giangregorio LM; Kho ME; Poitras VJ; Ross R; Saunders TJ; Ross-White A; Chastin SFM
    Appl Physiol Nutr Metab; 2020 Oct; 45(10 (Suppl. 2)):S248-S257. PubMed ID: 33054342
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Time reallocation of physical behaviours induced by endurance exercise in physically active individuals.
    Hayes-Ortiz T; Suárez-Reyes M; Galgani JE; Zbinden-Foncea H; Fernández-Verdejo R
    Eur J Sport Sci; 2023 Aug; 23(8):1810-1820. PubMed ID: 36971121
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Compositional Analysis of the Associations between 24-h Movement Behaviours and Health Indicators among Adults and Older Adults from the Canadian Health Measure Survey.
    McGregor DE; Carson V; Palarea-Albaladejo J; Dall PM; Tremblay MS; Chastin SFM
    Int J Environ Res Public Health; 2018 Aug; 15(8):. PubMed ID: 30126215
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Associations of Physical Activity Intensities with Markers of Insulin Sensitivity.
    Jelleyman C; Edwardson CL; Henson J; Gray LJ; Rowlands AV; Khunti K; Davies MJ; Yates T
    Med Sci Sports Exerc; 2017 Dec; 49(12):2451-2458. PubMed ID: 28723844
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Reallocating Time to Sleep, Sedentary Time, or Physical Activity: Associations with Waist Circumference and Body Mass Index in Breast Cancer Survivors.
    Boyle T; Vallance JK; Buman MP; Lynch BM
    Cancer Epidemiol Biomarkers Prev; 2017 Feb; 26(2):254-260. PubMed ID: 27780817
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Are longitudinal reallocations of time between movement behaviours associated with adiposity among elderly women? A compositional isotemporal substitution analysis.
    Pelclová J; Štefelová N; Dumuid D; Pedišić Ž; Hron K; Gába A; Olds T; Pechová J; Zając-Gawlak I; Tlučáková L
    Int J Obes (Lond); 2020 Apr; 44(4):857-864. PubMed ID: 31911665
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Longitudinal reallocations of time between 24-h movement behaviours and their associations with inflammation in children and adolescents: the UP&DOWN study.
    Segura-Jiménez V; Pedišić Ž; Gába A; Dumuid D; Olds T; Štefelová N; Hron K; Gómez-Martínez S; Marcos A; Castro-Piñero J
    Int J Behav Nutr Phys Act; 2023 Jun; 20(1):72. PubMed ID: 37322451
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Contrasting compositions of sitting, standing, stepping, and sleeping time: associations with glycaemic outcome by diabetes risk.
    Brakenridge CJ; Healy GN; Sethi P; Carver A; Bellettiere J; Salim A; Chastin SFM; Owen N; Dunstan DW
    Int J Behav Nutr Phys Act; 2021 Dec; 18(1):155. PubMed ID: 34863205
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among Canadian preschool-aged children using compositional analyses.
    Carson V; Tremblay MS; Chastin SFM
    BMC Public Health; 2017 Nov; 17(Suppl 5):848. PubMed ID: 29219077
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Sedentary behaviour is associated with depression symptoms: Compositional data analysis from a representative sample of 3233 US adults and older adults assessed with accelerometers.
    Del Pozo Cruz B; Alfonso-Rosa RM; McGregor D; Chastin SF; Palarea-Albaladejo J; Del Pozo Cruz J
    J Affect Disord; 2020 Mar; 265():59-62. PubMed ID: 31959584
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Fitness, fatness and the reallocation of time between children's daily movement behaviours: an analysis of compositional data.
    Fairclough SJ; Dumuid D; Taylor S; Curry W; McGrane B; Stratton G; Maher C; Olds T
    Int J Behav Nutr Phys Act; 2017 May; 14(1):64. PubMed ID: 28486972
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prospective study on sedentary behaviour patterns and changes in body composition parameters in older women: A compositional and isotemporal substitution analysis.
    Gába A; Pelclová J; Štefelová N; Přidalová M; Zając-Gawlak I; Tlučáková L; Pechová J; Svozilová Z
    Clin Nutr; 2021 Apr; 40(4):2301-2307. PubMed ID: 33109393
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach.
    Chastin SF; Palarea-Albaladejo J; Dontje ML; Skelton DA
    PLoS One; 2015; 10(10):e0139984. PubMed ID: 26461112
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Can we walk away from cardiovascular disease risk or do we have to 'huff and puff'? A cross-sectional compositional accelerometer data analysis among adults and older adults in the Copenhagen City Heart Study.
    Johansson MS; Søgaard K; Prescott E; Marott JL; Schnohr P; Holtermann A; Korshøj M
    Int J Behav Nutr Phys Act; 2020 Jul; 17(1):84. PubMed ID: 32631371
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Cardiometabolic Impact of Changing Sitting, Standing, and Stepping in the Workplace.
    Winkler EAH; Chastin S; Eakin EG; Owen N; Lamontagne AD; Moodie M; Dempsey PC; Kingwell BA; Dunstan DW; Healy GN
    Med Sci Sports Exerc; 2018 Mar; 50(3):516-524. PubMed ID: 29166319
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour.
    Dumuid D; Pedišić Ž; Stanford TE; Martín-Fernández JA; Hron K; Maher CA; Lewis LK; Olds T
    Stat Methods Med Res; 2019 Mar; 28(3):846-857. PubMed ID: 29157152
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.