Objective and self-rated sedentary time and indicators of metabolic health in Dutch and Hungarian 10-12 year olds: The energy-project

PLoS ONE

Volumn 7, Issue 5, 2012, Pages

  Chinapaw, Mai J M ^a   Yildirim, Mine ^a   Altenburg, Teatske M ^a   Singh, Amika S ^a   Kovács, Éva ^b   Molnár, Dénes ^b   Brug, Johannes ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF PÉCS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

C PEPTIDE; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ACCELEROMETRY; ARTICLE; BLOOD SAMPLING; BODY HEIGHT; BODY WEIGHT; CARDIOMETABOLIC RISK; CHILD; CHILD HEALTH; CONTROLLED STUDY; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; HUNGARY; MALE; NETHERLANDS; OBESITY; PHYSICAL EXAMINATION; RISK ASSESSMENT; RISK FACTOR; SCHOOL CHILD; SCORING SYSTEM; SEDENTARY LIFESTYLE; SELF REPORT; TIME; WAIST CIRCUMFERENCE; ADOLESCENT; BODY MASS; CROSS-SECTIONAL STUDY; ENERGY METABOLISM; EXERCISE; MICROCOMPUTER; PHYSIOLOGY; TELEVISION;

ADIPOSITY; ADOLESCENT; BODY MASS INDEX; CHILD; CROSS-SECTIONAL STUDIES; ENERGY METABOLISM; EXERCISE; FEMALE; HUMANS; HUNGARY; MALE; MICROCOMPUTERS; NETHERLANDS; OVERWEIGHT; SEDENTARY LIFESTYLE; TELEVISION; WAIST CIRCUMFERENCE;

EID: 84860608560     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0036657     Document Type: Article

References (32)

1. Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, et al. (2008) Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care 31: 369-371.
2. Sardinha LB, Andersen LB, Anderssen SA, Quitério AL, Ornelas R, et al. (2008) 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. Diabetes Care 31: 569-575.
3. Robinson TN, (1999) Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA 282: 1561-1567.
4. Hamilton MT, Hamilton DG, Zderic TW, (2004) Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev 32: 161-166.
5. Bey L, Hamilton MT, (2003) Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity. J Physiol 551 (Pt 2): 673-682.
6. Zderic TW, Hamilton MT, (2006) Physical inactivity amplifies the sensitivity of skeletal muscle to the lipid-induced downregulation of lipoprotein lipase activity. J Appl Physiol 100: 249-257.
7. Levine JA, Vander Weg MW, Hill JO, Klesges RC, (2006) Non-exercise activity thermogenesis: the crouching tiger hidden dragon of societal weight gain. Arterioscler Thromb Vasc Biol 26: 729-736.
8. Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, et al. (2008) Breaks in sedentary time: beneficial associations with metabolic risk. Diabetes Care 31: 661-666.
9. Bokor S, Frelut ML, Vania A, Hadjiathanasiou CG, Anastasakou M, et al. (2008) Prevalence of metabolic syndrome in European obese children. Int J Pediatr Obes 3 (Suppl 2): 3-8.
10. Ekelund U, Anderssen S, Andersen LB, Riddoch CJ, Sardinha LB, et al. (2009) Prevalence and correlates of the metabolic syndrome in a population-based sample of European youth. Am J Clin Nutr 89: 90-6.
11. Steele RM, Brage S, Corder K, Wareham N, Ekelund U, (2008) Physical activity, cardiorespiratory fitness, and the metabolic syndrome in youth. J Appl Physiol 105: 342-51.
12. Katzmarzyk PT, Perusse L, Malina RM, Bergeron J, Despres JP, et al. (2001) Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Quebec Family Study. J Clin Epidemiol 54: 190-195.
13. Raitakari OT, Juonala M, Kahonen M, Taittonen L, Laitinen T, et al. (2003) Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA 290: 2277-2283.
14. Baker JL, Olsen LW, Sorensen TI, (2007) Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med 357: 2329-2337.
15. Franks PW, Hanson RL, Knowler WC, Sievers ML, Bennett PH, et al. (2010) Childhood obesity, other cardiovascular risk factors, and premature death. N Engl J Med 362: 485-493.
16. Chinapaw MJM, Proper KI, Biddle SJ, van Mechelen W, Singh AS, (2011) Relationship between childhood sedentary behaviour and biomedical health indicators: A systematic review of prospective studies. Obes Rev 12: 621-632.
17. Brug J, van Stralen MM, Te Velde SJ, Chinapaw MJ, De Bourdeaudhuij I, et al. (2012) Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: The ENERGY-project. PLoS ONE (in press).
18. Brug J, Te Velde SJ, Chinapaw MJ, Bere E, De Bourdeaudhuij I, et al. (2010) Evidence-based development of school-based and family-involved prevention of overweight across Europe: the ENERGY-project's design and conceptual framework. BMC Public Health 10: 276.
19. van Stralen MM, Te Velde SJ, Singh AS, De Bourdeaudhuij I, Martens MK, et al. (2011) EuropeaN Energy balance Research to prevent excessive weight Gain among Youth (ENERGY) project: Design and methodology of the ENERGY cross-sectional survey. BMC Public Health 11: 65.
20. Bailey RC, Olson J, Pepper SL, Porszasz J, Barstow TJ, et al. (1995) The level and tempo of children's physical activities: an observational study. Med Sci Sports Exerc 27: 1033-1041.
21. Rowlands AV, Pilgrim EL, Eston RG, (2008) Patterns of habitual activity across weekdays and weekend days in 9-11-year-old children. Prev Med 46: 317-324.
22. Treuth MS, Sherwood NE, Butte NF, McClanahan B, Obarzanek E, et al. (2003) Validity and reliability of activity measures in African-American girls for GEMS. Med Sci Sports Exerc 35: 532-539.
23. Yildirim M, Verloigne M, De Bourdeaudhuij I, Androutsos O, Manios Y, et al. (2011) Study protocol of physical activity and sedentary behaviour measurement among schoolchildren by accelerometry- Cross-sectional survey as part of the ENERGY-project. BMC Public Health 11: 182.
24. Freedson P, Pober D, Janz KF, (2005) Calibration of accelerometer output for children. Med Sci Sports Exerc 37: S523-S530.
25. Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, et al. (2004) Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 36: 1259-1266.
26. Fischer CC, Yildirim M, Salmon J, Chinapaw M, (2012) Comparing different accelerometer cut points for sedentary time in children. Ped Exerc Sci (In press).
27. Rudolf MC, Greenwood DC, Cole TJ, Levine R, Sahota P, et al. (2004) Rising obesity and expanding waistlines in schoolchildren: a cohort study. Arch Dis Child 89: 235-237.
28. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH, (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320: 1240-1243.
29. Gootjes J, Tel RM, Bergkamp FJ, Gorgels JP, (2009) Laboratory evaluation of a novel capillary blood sampling device for measuring eight clinical chemistry parameters and HbA1c. Clin Chim Acta 401: 152-157.
30. Singh AS, Vik FN, Chinapaw MJM, Uijtdewilligen L, Verloigne M, et al. (2011) Test-retest reliability and construct validity of the ENERGY-child questionnaire on energy balance-related behaviours and their potential determinants: the ENERGY-project. IJBNPA 8: 136.
31. Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, et al. (2006) Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet 368: 299-304.
32. Carson V, Janssen I, (2011) Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: a cross-sectional study. BMC Public Health 11: 274.