Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: A cross-sectional study

BMC Public Health

Volumn 11, Issue , 2011, Pages

  Carson, Valerie ^a   Janssen, Ian ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CARDIOVASCULAR SYSTEM; CHILD; CROSS-SECTIONAL STUDY; FEMALE; HEALTH SURVEY; HUMAN; MALE; METABOLISM; RISK ASSESSMENT; RISK FACTOR; SEDENTARY LIFESTYLE; UNITED STATES;

ADOLESCENT; CARDIOVASCULAR SYSTEM; CHILD; CROSS-SECTIONAL STUDIES; FEMALE; HEALTH SURVEYS; HUMANS; MALE; RISK ASSESSMENT; RISK FACTORS; SEDENTARY LIFESTYLE; UNITED STATES; YOUNG ADULT;

EID: 79955501999     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-11-274     Document Type: Article

References (53)

1. Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Quebec Family Study. PT Katzmarzyk L Perusse RM Malina J Bergeron JP Despres C Bouchard, J Clin Epidemiol 2001 54 190 195 10.1016/S0895-4356(00)00315-2 11166535 (Pubitemid 32112377)
2. Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001-2006. WD Johnson JJ Kroon FL Greenway C Bouchard D Ryan PT Katzmarzyk, Arch Pediatr Adolesc Med 2009 163 371 377 10.1001/archpediatrics.2009.3 19349567
3. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. OT Raitakari M Juonala M Kahonen L Taittonen T Laitinen N Maki-Torkko MJ Jarvisalo M Uhari E Jokinen T Ronnemaa HK Akerblom JSA Viikari, JAMA 2003 290 2277 2283 10.1001/jama.290.17.2277 14600186 (Pubitemid 37430560)
4. Childhood body-mass index and the risk of coronary heart disease in adulthood. JL Baker LW Olsen TI Sorensen, N Engl J Med 2007 357 2329 2337 10.1056/NEJMoa072515 18057335 (Pubitemid 350223387)
5. Childhood obesity, other cardiovascular risk factors, and premature death. PW Franks RL Hanson WC Knowler ML Sievers PH Bennett HC Looker, N Engl J Med 2010 362 485 493 10.1056/NEJMoa0904130 20147714
6. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). LB Andersen M Harro LB Sardinha K Froberg U Ekelund S Brage SA Anderssen, Lancet 2006 368 299 304 10.1016/S0140-6736(06)69075-2 16860699 (Pubitemid 44067246)
7. Tackling the obesity pandemic: a call for sedentary behaviour research. PA Spanier SJ Marshall GE Faulkner, Can J Public Health 2006 97 255 257 16827420 (Pubitemid 44043641)
8. Incidental movement, lifestyle-embedded activity and sleep: new frontiers in physical activity assessment. MS Tremblay DW Esliger A Tremblay R Colley, Can J Public Health 2007 98 Suppl 2 208 217 18213950
9. Should we be concerned about children spending extended periods of time in sedentary pursuits even among the highly active? J Salmon D Dunstan N Owen, Int J Pediatr Obes 2008 3 66 68 10.1080/17477160802169672 18465432 (Pubitemid 351935289)
10. Independent associations of physical activity and cardiorespiratory fitness with metabolic risk factors in children: the European youth heart study. U Ekelund SA Anderssen K Froberg LB Sardinha LB Andersen S Brage, Diabetologia 2007 50 1832 1840 10.1007/s00125-007-0762-5 17641870 (Pubitemid 47222872)
11. Sedentary behavior, adiposity, and cardiovascular risk factors in adolescents. The AFINOS Study. D Martinez-Gomez JC Eisenmann S Gomez-Martinez A Veses A Marcos OL Veiga, Rev Esp Cardio 2010 63 277 285
12. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. U Ekelund S Brage K Froberg M Harro SA Anderssen LB Sardinha C Riddoch LB Andersen, PLoS Med 2006 3 488 10.1371/journal.pmed.0030488 17194189
13. Sedentary behaviour and obesity development in children and adolescents. JP Rey-Lopez G Vicente-Rodriguez M Biosca LA Moreno, Nutr Metab Cardiovasc Dis 2008 18 242 251 10.1016/j.numecd.2007.07.008 18083016
14. Associations between sedentary behavior and blood pressure in young children. D Martinez-Gomez J Tucker KA Heelan GJ Welk JC Eisenmann, Arch Pediatr Adolesc Med 2009 163 724 730 10.1001/archpediatrics.2009.90 19652104
15. The effects of changes in physical activity on major cardiovascular risk factors, hemodynamics, sympathetic function, and glucose utilization in man: a controlled study of four levels of activity. G Jennings L Nelson P Nestel M Esler P Korner D Burton J Bazelmans, Circulation 1986 73 30 40 3510088 (Pubitemid 16132409)
16. Glucose intolerance during decreased physical activity in man. RL Lipman P Raskin T Love J Triebwasser FR Lecocq JJ Schnure, Diabetes 1972 21 101 107 4621842
17. Breaks in sedentary time: beneficial associations with metabolic risk. GN Healy DW Dunstan J Salmon E Cerin JE Shaw PZ Zimmet N Owen, Diabetes Care 2008 31 661 666 10.2337/dc07-2046 18252901
18. Amount of time spent in sedentary behaviors in the United States, 2003-2004. CE Matthews KY Chen PS Freedson MS Buchowski BM Beech RR Pate RP Troiano, Am J Epidemiol 2008 167 875 881 10.1093/aje/kwm390 18303006 (Pubitemid 351451752)
19. Critical hours: physical activity and sedentary behavior of adolescents after school. AJ Atkin T Gorely SJ Biddle SJ Marshall N Cameron, Pediatr Exerc Sci 2008 20 446 456 19168921
20. A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: a systematic review. KB Adamo SA Prince AC Tricco S Connor-Gorber M Tremblay, Int J Pediatr Obes 2009 4 2 27 10.1080/17477160802315010 18720173
21. National Health and Nutrition Examination Survey Codebook for Data Production (2005-2006). Physical Activity Monitor - Raw Intensity Value Data (PAXRAW-D): Person Level Data. 2008
22. Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. LC Masse BF Fuemmeler CB Anderson CE Matthews SG Trost DJ Catellier M Treuth, Med Sci Sports Exerc 2005 37 544 554 10.1249/01.mss.0000185674.09066.8a 16294117
23. Using objective physical activity measures with youth: how many days of monitoring are needed? SG Trost RR Pate PS Freedson JF Sallis WC Taylor, Med Sci Sports Exerc 2000 32 426 431 10.1097/00005768-200002000-00025 10694127 (Pubitemid 30108124)
24. Couch kids: correlates of television viewing among youth. T Gorely SJ Marshall SJ Biddle, Int J Behav Med 2004 11 152 163 10.1207/s15327558ijbm1103-4 15496343 (Pubitemid 39403311)
25. Objective measurement of physical activity and sedentary behaviour: review with new data. JJ Reilly V Penpraze J Hislop G Davies S Grant JY Paton, Arch Dis Child 2008 93 614 619 10.1136/adc.2007.133272 18305072 (Pubitemid 352030087)
26. Calibration of accelerometer output for children. P Freedson D Pober KF Janz, Med Sci Sports Exerc 2005 37 523 530 10.1249/01.mss.0000185658.28284.ba 16294115
27. Energy costs of physical activities in children and adolescents. JS Harrell RG McMurray CD Baggett ML Pennell PF Pearce SI Bangdiwala, Med Sci Sports Exerc 2005 37 329 336 10.1249/01.MSS.0000153115.33762.3F 15692331 (Pubitemid 40204642)
28. Patterns of adolescent physical activity, screen-based media use, and positive and negative health indicators in the U.S. and Canada. RJ Iannotti MD Kogan I Janssen WF Boyce, J Adolesc Health 2009 44 493 499 10.1016/j.jadohealth. 2008.10.142 19380098
29. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. RW Taylor IE Jones SM Williams A Goulding, Am J Clin Nutr 2000 72 490 495 10919946 (Pubitemid 30620657)
30. Combined influence of body mass index and waist circumference on coronary artery disease risk factors among children and adolescents. I Janssen PT Katzmarzyk SR Srinivasan W Chen RM Malina C Bouchard GS Berenson, Pediatrics 2005 115 1623 1630 10.1542/peds.2004-2588 15930225 (Pubitemid 43843172)
31. Population frequency distribution of non-high-density lipoprotein cholesterol (Third National Health and Nutrition Examination Survey [NHANES III], 1988-1994). CD Gardner MA Winkleby SP Fortmann, Am J Cardiol 2000 86 299 304 10.1016/S0002-9149(00)00918-8 10922437 (Pubitemid 30462225)
32. Non-high-density-lipoprotein cholesterol and cardiovascular risk factors among adolescents with and without impaired fasting glucose. J Liu D Joshi CT Sempos, Appl Physiol Nutr Metab 2009 34 136 142 10.1139/H08-149 19370043
33. Cardiology Patient Page. C-reactive protein: a simple test to help predict risk of heart attack and stroke. PM Ridker, Circulation 2003 108 81 85 10.1161/01.CIR.0000093381.57779.67 14504253
34. C-reactive protein and metabolic syndrome in youth: a strong relationship? AC Oliveira AM Oliveira LF Adan NF Oliveira AM Silva AM Ladeia, Obesity (Silver Spring) 2008 16 1094 1098 10.1038/oby.2008.43 (Pubitemid 351620485)
35. Growth curves for cardio-metabolic risk factors in children and adolescents. S Cook P Auinger TT Huang, J Pediatr 2009 155 S6 15 26 19732566
36. U.S. Census Bureau, Population Division, Fertility & Family Statistics Branch. Current Population Survey: Definitions and explanations. 2004
37. US Department of Health and Human Services, US Department of Agriculture: Dietary Guidelines for Americans. 2005
38. Relationship of physical activity, fitness, and fatness with clustered metabolic risk in children and adolescents: the European youth heart study. NS Rizzo JR Ruiz A Hurtig-Wennlof FB Ortega M Sjostrom, J Pediatr 2007 150 388 394 10.1016/j.jpeds.2006.12.039 17382116 (Pubitemid 46437328)
39. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). GN Healy K Wijndaele DW Dunstan JE Shaw J Salmon PZ Zimmet N Owen, Diabetes Care 2008 31 369 371 18000181 (Pubitemid 351213354)
40. Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. GN Healy DW Dunstan J Salmon E Cerin JE Shaw PZ Zimmet N Owen, Diabetes Care 2007 30 1384 1389 10.2337/dc07-0114 17473059 (Pubitemid 46871142)
41. Objectively measured time spent sedentary is associated with insulin resistance independent of overall and central body fat in 9- to 10-year-old Portuguese children. LB Sardinha LB Andersen SA Anderssen AL Quiterio R Ornelas K Froberg CJ Riddoch U Ekelund, Diabetes Care 2008 31 569 575 18070991
42. Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children. RM Steele EM van Sluijs A Cassidy SJ Griffin U Ekelund, Am J Clin Nutr 2009 90 1185 1192 10.3945/ajcn.2009.28153 19776141
43. Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study). U Ekelund LB Sardinha SA Anderssen M Harro PW Franks S Brage AR Cooper LB Andersen C Riddoch K Froberg, Am J Clin Nutr 2004 80 584 590 15321796 (Pubitemid 41115521)
44. Differences in physical activity and sedentary time in relation to weight in 8-9 year old children. LR Purslow C Hill J Saxton K Corder J Wardle, Int J Behav Nutr Phys Act 2008 5 67 10.1186/1479-5868-5-67 19077283
45. Relationship between screen time and metabolic syndrome in adolescents. AE Mark I Janssen, J Public Health (Oxf) 2008 30 153 160 10.1093/pubmed/fdn022
46. Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study. D Martinez-Gomez JP Rey-Lopez P Chillon S Gomez-Martinez G Vicente-Rodriguez M Martin-Matillas M Garcia-Fuentes M Delgado LA Moreno OL Veiga JC Eisenmann A Marcos Avena Study Group, BMC Public Health 2010 10 274 10.1186/1471-2458-10-274 20500845
47. Effects of television on metabolic rate: potential implications for childhood obesity. RC Klesges ML Shelton LM Klesges, Pediatrics 1993 91 281 286 8424001 (Pubitemid 23042305)
48. Parental weight status and girls' television viewing, snacking, and body mass indexes. LA Francis Y Lee LL Birch, Obes Res 2003 11 143 151 10.1038/oby.2003.23 12529497 (Pubitemid 41137550)
49. Nutritional content of foods advertised during the television programs children watch most. K Harrison AL Marske, Am J Public Health 2005 95 1568 1574 10.2105/AJPH.2004.048058 16118368 (Pubitemid 41232950)
50. Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity. SF Chastin MH Granat, Gait Posture 2009 31 82 86 19854651
51. U.S. population profile of time-stamped accelerometer outputs: Impact of wear time. C Tudor-Locke WD Johnson PT Katzmarzyk, J Phys Act Health 2010
52. Physical activity and cardiovascular disease risk factors in children and adolescents. JR Ruiz FB Ortega, Current Cardiovascular Risk Reports 2009 3 281 287 10.1007/s12170-009-0043-6
53. Measuring puberty. LD Dorn, J Adolesc Health 2006 39 625 626 10.1016/j.jadohealth.2006.05.014 17046496 (Pubitemid 44529029)