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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front Med    2012, Vol. 6 Issue (4) : 428-435    https://doi.org/10.1007/s11684-012-0232-4
RESEARCH ARTICLE
Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children
Clemens Drenowatz1(), Joseph J. Carlson2, Karin A. Pfeiffer1, Joey C. Eisenmann1,2
1. Department of Kinesiology, Michigan State University, East Lansing, MI 48824, USA; 2. Department of Radiology, Division of Sports and Cardiovascular Nutrition, Michigan State University, East Lansing, MI 48824, USA
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Abstract

The increasing prevalence of childhood overweight and obesity has been associated with an increased risk for cardiovascular disease (CVD). While several studies examined the effect of single behaviors such as physical activity (PA), sedentary behavior or diet on CVD risk, there is a lack of research on combined associations, specifically in children. Therefore, the purpose of this study was to examine the joint association of PA or screen time (ST) and diet on CVD risk factors in children. PA, ST and diet were assessed via questionnaire in 210 fifth grade students (age: 10.6±0.4 years). The healthy eating index (HEI) was subsequently calculated as indicator for diet quality. Height, weight, % body fat, and resting blood pressure were measured according to standard procedures and blood samples obtained via fingerprick were assayed for blood lipids. Total cholesterol HDL ratio (TC:HDL), mean arterial pressure (MAP), and % body fat were used as indicators of CVD risk. 55% of children did not meet current PA recommendations on at least 5 days/week and 70% exceeded current recommendations for ST. Further, only 2.5% possessed a “good” diet (HEI>80). There was no significant association of PA or ST and diet on CVD risk score. Neither TC:HDL, MAP, and % body fat nor the total CVD risk score was significantly correlated with diet, PA, or ST. Children in the high PA group, however, had significantly better diet scores. Despite the fact that self-reported PA, ST, or dietary intake were not directly related to CVD risk in this sample, higher activity levels were associated with a healthier diet and lower ST indicating an overall healthier lifestyle of this subgroup.

Keywords exercise      sedentary behavior      metabolic syndrome      health behavior      adolescents      TV time      healthy eating index     
Corresponding Author(s): Drenowatz Clemens,Email:drenowat@msu.edu   
Issue Date: 05 December 2012
 Cite this article:   
Clemens Drenowatz,Joseph J. Carlson,Karin A. Pfeiffer, et al. Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children[J]. Front Med, 2012, 6(4): 428-435.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-012-0232-4
https://academic.hep.com.cn/fmd/EN/Y2012/V6/I4/428
MalesN = 88FemalesN = 122TotalN = 210
Age (year)10.5 (0.4)10.6 (0.4)10.6 (0.4)
Height (cm)144.6 (6.6)144.2 (6.6)144.4 (6.6)
Weight (kg)41.5 (8.8)41.4 (8.9)41.4 (8.8)
BMI percentile67.2 (28.4)65.8 (27.8)66.4 (28.0)
Overweight (%)14.819.017.2
Obese (%)22.716.519.1
Body fat (%) *21.6 (8.4)25.4 (8.1)23.8 (8.4)
HDL (mg/dl)46.8 (13.1)46.3 (13.7)46.5 (13.4)
TC:HDL ratio3.5 (1.4)3.5 (1.1)3.5 (1.2)
Mean arterial pressure (mmHg)77.9 (11.4)78.6 (7.7)78.3 (9.4)
CVD risk score *-0.3 (2.5)0.2 (1.8)0.0 (2.2)
Caloric intake (kcal/day)1719 (1005)1730 (1498)1725 (1312)
HEI score62.1 (9.3)61.9 (8.7)62.0 (8.9)
PA (# of days with MVPA>60a??min)4.6 (2.1)4.8 (2.1)4.7 (2.1)
Screen-time (h/day) *4.2 (3.1)3.3 (3.5)3.7 (3.4)
Tab.1  Descriptive characteristics for males, females and total sample
HEI ScorePAST
Body fat (%)-0.10-0.05-0.07
TC:HDL ratio-0.02-0.05-0.02
Mean arterial pressure (mmHg)-0.130.03-0.06
CVD risk score-0.12-0.04-0.07
Tab.2  Correlation-coefficients between health behaviors and CVD risk
Low PA-Low HEILow PA-High HEIHigh PA-Low HEIHigh PA-High HEI
N (male)44 (11)72 (37)57 (21)37 (19)
Age (year)10.6 (0.4)10.5 (0.4)10.7 (0.5)10.6 (0.4)
Height (cm)145.3 (6.7)144.2 (6.7)145.0 (6.4)142.9 (6.5)
Weight (kg)41.8 (8.4)40.6 (9.0)43.5 (9.0)39.7 (8.5)
BMI percentile67.4 (27.3)62.9 (29.3)72.0 (25.1)62.3 (30.2)
Overweight (%)20.514.117.518.9
Obese (%)15.918.324.616.2
Body fat (%)24.2 (8.3)22.8 (8.2)25.5 (8.6)22.3 (8.6)
Caloric intake (kcal/day) *1270 (795)2218 (1099)1213 (765)2097 (2156)
HDL (mg/dl)45.9 (12.2)47.7 (16.6)45.6 (11.2)46.3 (11.3)
TC:HDL ratio3.5 (1.1)3.5 (1.3)3.6 (1.2)3.6 (1.2)
Mean arterial pressure (mmHg)80.1 (8.4)77.8 (7.5)79.0 (8.3)76.1 (14.2)
CVD risk score0.2 (2.0)-0.2 (2.0)0.3 (2.1)-0.3 (2.6)
Screen-time (h/day)3.3 (2.4)3.6 (4.4)4.1 (3.2)3.8 (2.4)
Tab.3  Descriptions for HEI by PA
High ST-Low HEIHigh ST-High HEILow ST-Low HEILow ST-High HEI
N (male)75 (26)72 (45)26 (6)37 (11)
Age (year)10.7 (0.4)10.5 (0.4)10.5 (0.4)10.6 (0.5)
Height (cm)145.8 (6.4)143.6 (6.7)143.2 (6.5)144.1 (6.6)
Weight (kg)43.6 (9.1)39.8 (8.0)40.1 (7.8)41.3 (10.3)
BMI percentile71.4 (25.4)63.5 (29.1)66.0 (28.0)62.0 (30.7)
Overweight (%)18.716.719.213.9
Obese (%)22.715.315.422.2
Body fat (%)25.2 (8.7)22.1 (7.7)24.5 (7.9)23.7 (9.3)
Caloric intake (kcal/day) *1296 (843)2208 (1730)1071 (510)2116 (1062)
HDL (mg/dl)45.2 (11.5)45.8 (12.0)47.1 (12.0)50.0 (19.4)
TC:HDL ratio3.6 (1.2)3.6 (1.2)3.4 (1.1)3.4 (1.3)
Mean arterial pressure (mmHg)80.7 (7.9)77.2 (11.5)76.0 (8.7)77.2 (7.1)
CVD risk score0.5 (2.1)-0.3 (2.3)-0.3 (1.9)-0.3 (2.1)
PA* (# days of with MVPA>60 min)4.1 (2.0)4.8 (2.1)4.9 (2.0)5.5 (2.1)
Tab.4  Descriptions for HEI by ST
Fig.1  CVD risk score by HEI score and PA/ST. Values are mean, controlled for sex and total caloric intake. Low diet: HEI score below or equal to 61; high diet: above 61; Low PA:<5 days/week of 60 min MVPA; High PA:≥5 days/week of 60 min MVPA; High ST:≥2 h/day of TV & Computer; Low ST:<2 h/day of TV & computer.
1 D’Adamo E, Santoro N, Caprio S. Metabolic syndrome in pediatrics: old concepts revised, new concepts discussed. Endocrinol Metab Clin North Am 2009; 38(3): 549-563
doi: 10.1016/j.ecl.2009.06.002 pmid:19717004
2 Pan Y, Pratt CA. Metabolic syndrome and its association with diet and physical activity in US adolescents. J Am Diet Assoc 2008; 108(2): 276-286, discussion 286
doi: 10.1016/j.jada.2007.10.049 pmid:18237576
3 Saland JM. Update on the metabolic syndrome in children. Curr Opin Pediatr 2007; 19(2): 183-191
doi: 10.1097/MOP.0b013e3280208519 pmid:17496763
4 Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH. Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med 2003; 157(8): 821-827
doi: 10.1001/archpedi.157.8.821 pmid:12912790
5 Duncan GE, Li SM, Zhou XH. Prevalence and trends of a metabolic syndrome phenotype among U.S. adolescents, 1999-2000. Diabetes Care 2004; 27(10): 2438-2443
doi: 10.2337/diacare.27.10.2438 pmid:15451913
6 Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, Allen K, Lopes M, Savoye M, Morrison J, Sherwin RS, Caprio S. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med 2004; 350(23): 2362-2374
doi: 10.1056/NEJMoa031049 pmid:15175438
7 Eisenmann JC, Wickel EE, Welk GJ, Blair SN. Relationship between adolescent fitness and fatness and cardiovascular disease risk factors in adulthood: the Aerobics Center Longitudinal Study (ACLS). Am Heart J 2005; 149(1): 46-53
doi: 10.1016/j.ahj.2004.07.016 pmid:15660033
8 Andersen LB, Haraldsdóttir J. Tracking of cardiovascular disease risk factors including maximal oxygen uptake and physical activity from late teenage to adulthood. An 8-year follow-up study. J Intern Med 1993; 234(3): 309-315
doi: 10.1111/j.1365-2796.1993.tb00748.x pmid:8354982
9 Bao W, Srinivasan SR, Wattigney WA, Berenson GS. Persistence of multiple cardiovascular risk clustering related to syndrome X from childhood to young adulthood. The Bogalusa Heart Study. Arch Intern Med 1994; 154(16): 1842-1847
doi: 10.1001/archinte.1994.00420160079011 pmid:8053753
10 Katzmarzyk PT, Craig CL, Bouchard C. Original article underweight, overweight and obesity: relationships with mortality in the 13-year follow-up of the Canada Fitness Survey. J Clin Epidemiol 2001; 54(9): 916-920
doi: 10.1016/S0895-4356(01)00356-0 pmid:11520651
11 Morrison JA, Friedman LA, Wang P, Glueck CJ. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr 2008; 152(2): 201-206
doi: 10.1016/j.jpeds.2007.09.010 pmid:18206689
12 Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 2005; 28(7): 1769-1778
doi: 10.2337/diacare.28.7.1769 pmid:15983333
13 Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 2005; 112(20): 3066-3072
doi: 10.1161/CIRCULATIONAHA.105.539528 pmid:16275870
14 Casazza K, Dulin-Keita A, Gower BA, Fernandez JR. Differential influence of diet and physical activity on components of metabolic syndrome in a multiethnic sample of children. J Am Diet Assoc 2009; 109(2): 236-244
doi: 10.1016/j.jada.2008.10.054 pmid:19167950
15 Grant R, Bilgin A, Zeuschner C, Guy T, Pearce R, Hokin B, Ashton J. The relative impact of a vegetable-rich diet on key markers of health in a cohort of Australian adolescents. Asia Pac J Clin Nutr 2008; 17(1): 107-115
pmid:18364335
16 Arvaniti F, Panagiotakos DB. Healthy indexes in public health practice and research: a review. Crit Rev Food Sci Nutr 2008; 48(4): 317-327
doi: 10.1080/10408390701326268 pmid:18409114
17 Kennedy ET, Ohls J, Carlson S, Fleming K. The Healthy Eating Index: design and applications. J Am Diet Assoc 1995; 95(10): 1103-1108
doi: 10.1016/S0002-8223(95)00300-2 pmid:7560680
18 Kant AK, Graubard BI. A comparison of three dietary pattern indexes for predicting biomarkers of diet and disease. J Am Coll Nutr 2005; 24(4): 294-303
pmid:16093407
19 Eisenmann JC, Bartee RT, Smith DT, Welk GJ, Fu Q. Combined influence of physical activity and television viewing on the risk of overweight in US youth. Int J Obes (Lond) 2008; 32(4): 613-618
doi: 10.1038/sj.ijo.0803800 pmid:18209737
20 Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB, Riddoch C, Andersen LB. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med 2006; 3(12): e488
doi: 10.1371/journal.pmed.0030488 pmid:17194189
21 Martínez-Gómez D, Eisenmann JC, Gómez-Martínez S, Veses A, Marcos A, Veiga OL. Sedentary behavior, adiposity and cardiovascular risk factors in adolescents. The AFINOS study. Rev Esp Cardiol2010; 63(3): 277-285
doi: 10.1016/S0300-8932(10)70086-5 pmid:20196988
22 Sardinha LB, Andersen LB, Anderssen SA, Quitério AL, Ornelas R, Froberg K, Riddoch CJ, Ekelund U. 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 2008; 31(3): 569-575
doi: 10.2337/dc07-1286 pmid:18070991
23 Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes 2007; 56(11): 2655-2667
doi: 10.2337/db07-0882 pmid:17827399
24 Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc 2009; 41(5): 998-1005
doi: 10.1249/MSS.0b013e3181930355 pmid:19346988
25 Nilsson A, Andersen LB, Ommundsen Y, Froberg K, Sardinha LB, Piehl-Aulin K, Ekelund U. Correlates of objectively assessed physical activity and sedentary time in children: a cross-sectional study (The European Youth Heart Study). BMC Public Health 2009; 9(1): 322
doi: 10.1186/1471-2458-9-322 pmid:19735565
26 Prentice-Dunn H, Prentice-Dunn S. Physical activity, sedentary behavior, and childhood obesity: a review of cross-sectional studies. Psychol Health Med 2012; 17(3): 255-273
doi: 10.1080/13548506.2011.608806 pmid:21995842
27 Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ. Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care 2005; 28(5): 1195-1200
doi: 10.2337/diacare.28.5.1195 pmid:15855588
28 Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, Goldfield G, Gorber SC. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act 2011; 8(1): 98
doi: 10.1186/1479-5868-8-98 pmid:21936895
29 Ford ES, Kohl HW 3rd, Mokdad AH, Ajani UA. Sedentary behavior, physical activity, and the metabolic syndrome among U.S. adults. Obes Res 2005; 13(3): 608-614
doi: 10.1038/oby.2005.65 pmid:15833947
30 Jackson DM, Djafarian K, Stewart J, Speakman JR. Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children. Am J Clin Nutr 2009; 89(4): 1031-1036
doi: 10.3945/ajcn.2008.26746 pmid:19244374
31 Tamayo T, Christian H, Rathmann W. Impact of early psychosocial factors (childhood socioeconomic factors and adversities) on future risk of type 2 diabetes, metabolic disturbances and obesity: a systematic review. BMC Public Health 2010; 10(1): 525
doi: 10.1186/1471-2458-10-525 pmid:20809937
32 Malina R. Physiological Assessment of Human Fitness. Champaign, IL: Human Kinetics. 1995
33 National High Blood Pressure Education Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004;114(2 Suppl 4th Report): 555-576
34 Block G, Thompson FE, Hartman AM, Larkin FA, Guire KE. Comparison of two dietary questionnaires validated against multiple dietary records collected during a 1-year period. J Am Diet Assoc 1992; 92(6): 686-693
pmid:1607564
35 Koebnick C, Wagner K, Thielecke F, Dieter G, H?hne A, Franke A, Garcia AL, Meyer H, Hoffmann I, Leitzmann P, Trippo U, Zunft HJ. An easy-to-use semiquantitative food record validated for energy intake by using doubly labelled water technique. Eur J Clin Nutr 2005; 59(9): 989-995
doi: 10.1038/sj.ejcn.1602200 pmid:16015274
36 Cullen KW, Watson K, Zakeri I. Relative reliability and validity of the Block Kids Questionnaire among youth aged 10 to 17 years. J Am Diet Assoc 2008; 108(5): 862-866
doi: 10.1016/j.jada.2008.02.015 pmid:18442512
37 Marshall TA, Eichenberger Gilmore JM, Broffitt B, Stumbo PJ, Levy SM. Relative validity of the Iowa Fluoride Study targeted nutrient semi-quantitative questionnaire and the block kids’ food questionnaire for estimating beverage, calcium, and vitamin D intakes by children. J Am Diet Assoc 2008; 108(3): 465-472
doi: 10.1016/j.jada.2007.12.002 pmid:18313429
38 Feskanich D, Rockett HR, Colditz GA. Modifying the Healthy Eating Index to assess diet quality in children and adolescents. J Am Diet Assoc 2004; 104(9): 1375-1383
doi: 10.1016/j.jada.2004.06.020 pmid:15354153
39 Guo X, Warden BA, Paeratakul S, Bray GA. Healthy Eating Index and obesity. Eur J Clin Nutr 2004; 58(12): 1580-1586
doi: 10.1038/sj.ejcn.1601989 pmid:15162130
40 Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA 2012; 307(5): 483-490
doi: 10.1001/jama.2012.40 pmid:22253364
41 Shrewsbury V, Wardle J. Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990-2005. Obesity (Silver Spring) 2008; 16(2): 275-284
doi: 10.1038/oby.2007.35 pmid:18239633
42 Grandics P, Kirchengast S. Are there sex differences in the prevalence of overweight and adiposity in elementary school children in Austria. Anthropol Anz 2006; 64(1): 67-81
pmid:16623090 (βin German)
43 Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, Anderssen SA. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet 2006; 368(9532): 299-304
doi: 10.1016/S0140-6736(06)69075-2 pmid:16860699
44 Brage S, Wedderkopp N, Ekelund U, Franks PW, Wareham NJ, Andersen LB, Froberg K, EYHS Group. Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). Diabetes Care 2004; 27(9): 2141-2148
doi: 10.2337/diacare.27.9.2141 pmid:15333475
45 Kelishadi R, Razaghi EM, Gouya MM, Ardalan G, Gheiratmand R, Delavari A, Motaghian M, Ziaee V, Siadat ZD, Majdzadeh R, Heshmat R, Barekati H, Arabi MS, Heidarzadeh A, Shariatinejad K,βCASPIAN Study Group. Association of physical activity and the metabolic syndrome in children and adolescents: CASPIAN Study. Horm Res 2007; 67(1): 46-52
doi: 10.1159/000096121 pmid:17035710
46 Sassen B, Cornelissen VA, Kiers H, Wittink H, Kok G, Vanhees L. Physical fitness matters more than physical activity in controlling cardiovascular disease risk factors. Eur J Cardiovasc Prev Rehabil 2009; 16(6): 677-683
doi: 10.1097/HJR.0b013e3283312e94 pmid:19734792
47 Chen X, Pang Z, Li K. Dietary fat, sedentary behaviors and the prevalence of the metabolic syndrome among Qingdao adults. Nutr Metab Cardiovasc Dis 2009; 19(1): 27-34
doi: 10.1016/j.numecd.2008.01.010 pmid:18472251
48 Kang HT, Lee HR, Shim JY, Shin YH, Park BJ, Lee YJ. Association between screen time and metabolic syndrome in children and adolescents in Korea: the 2005 Korean National Health and Nutrition Examination Survey. Diabetes Res Clin Pract 2010; 89(1): 72-78
doi: 10.1016/j.diabres.2010.02.016 pmid:20299120
49 Mark AE, Janssen I. Relationship between screen time and metabolic syndrome in adolescents. J Public Health (Oxf) 2008; 30(2): 153-160
doi: 10.1093/pubmed/fdn022 pmid:18375469
50 Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev 2010; 38(3): 105-113
doi: 10.1097/JES.0b013e3181e373a2 pmid:20577058
51 Hamilton MT, Hamilton DG, Zderic TW. Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev 2004; 32(4): 161-166
doi: 10.1097/00003677-200410000-00007 pmid:15604935
52 Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE, the AusDiab Steering Committee. Physical activity and television viewing in relation to risk of undiagnosed abnormal glucose metabolism in adults. Diabetes Care 2004; 27(11): 2603-2609
doi: 10.2337/diacare.27.11.2603 pmid:15504993
53 Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE, AusDiab Steering Committee. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia 2005; 48(11): 2254-2261
doi: 10.1007/s00125-005-1963-4 pmid:16211373
54 Martinez-Gomez D, Tucker J, Heelan KA, Welk GJ, Eisenmann JC. Associations between sedentary behavior and blood pressure in young children. Arch Pediatr Adolesc Med 2009; 163(8): 724-730
doi: 10.1001/archpediatrics.2009.90 pmid:19652104
55 Kim Y, Lee S. Physical activity and abdominal obesity in youth. Appl Physiol Nutr Metab 2009; 34(4): 571-581
doi: 10.1139/H09-066 pmid:19767790
56 Bruce KD, Hanson MA. The developmental origins, mechanisms, and implications of metabolic syndrome. J Nutr 2010; 140(3): 648-652
doi: 10.3945/jn.109.111179 pmid:20107145
57 Das UN. Is metabolic syndrome X a disorder of the brain with the initiation of low-grade systemic inflammatory events during the perinatal period? J Nutr Biochem 2007; 18(11): 701-713
doi: 10.1016/j.jnutbio.2007.01.002 pmid:17475465
58 Ekelund U, Anderssen S, Andersen LB, Riddoch CJ, Sardinha LB, Luan J, Froberg K, Brage S. Prevalence and correlates of the metabolic syndrome in a population-based sample of European youth. Am J Clin Nutr 2009; 89(1): 90-96
doi: 10.3945/ajcn.2008.26649 pmid:19056570
59 Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics 2005; 115(3): e290-e296
doi: 10.1542/peds.2004-1808 pmid:15741354
60 Finken MJ, Keijzer-Veen MG, Dekker FW, Fr?lich M, Hille ET, Romijn JA, Wit JM, Dutch POPS-19 Collaborative Study Group. Preterm birth and later insulin resistance: effects of birth weight and postnatal growth in a population based longitudinal study from birth into adult life. Diabetologia 2006; 49(3): 478-485
doi: 10.1007/s00125-005-0118-y pmid:16450090
61 Ramadhani MK, Grobbee DE, Bots ML, Castro Cabezas M, Vos LE, Oren A, Uiterwaal CS. Lower birth weight predicts metabolic syndrome in young adults: the Atherosclerosis Risk in Young Adults (ARYA)-study. Atherosclerosis 2006; 184(1): 21-27
doi: 10.1016/j.atherosclerosis.2005.03.022 pmid:16326169
62 Sinaiko AR, Gomez-Marin O, Prineas RJ. Relation of fasting insulin to blood pressure and lipids in adolescents and parents. Hypertension 1997; 30(6): 1554-1559
doi: 10.1161/01.HYP.30.6.1554 pmid:9403582
63 Bosy-Westphal A, Onur S, Geisler C, Wolf A, Korth O, Pfeuffer M, Schrezenmeir J, Krawczak M, Müller MJ. Common familial influences on clustering of metabolic syndrome traits with central obesity and insulin resistance: the Kiel obesity prevention study. Int J Obes (Lond) 2007; 31(5): 784-790
pmid:17047637
64 Lee KE, Klein BE, Klein R. Familial aggregation of components of the multiple metabolic syndrome in the Framingham Heart and Offspring Cohorts: Genetic Analysis Workshop Problem 1. BMC Genet 2003; 4(Suppl 1): S94
doi: 10.1186/1471-2156-4-S1-S94 pmid:14975162
65 Meas T. Fetal origins of insulin resistance and the metabolic syndrome: a key role for adipose tissue? Diabetes Metab 2010; 36(1): 11-20
doi: 10.1016/j.diabet.2009.09.001 pmid:19815442
66 Bouchard C. Gene-environment interactions in the etiology of obesity: defining the fundamentals. Obesity (Silver Spring) 2008; 16(Suppl 3): S5-S10
doi: 10.1038/oby.2008.528 pmid:19037213
67 Swain DP, Franklin BA. Comparison of cardioprotective benefits of vigorous versus moderate intensity aerobic exercise. Am J Cardiol 2006; 97(1): 141-147
doi: 10.1016/j.amjcard.2005.07.130 pmid:16377300
68 Wirt A, Collins CE. Diet quality—what is it and does it matter? Public Health Nutr 2009; 12(12): 2473-2492
doi: 10.1017/S136898000900531X pmid:19335941
69 Malina RM, Bouchard C, Bar-Or O. Growth, Maturation, and Physical Activity. Champaign, IL: Human Kinetics. 2004
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[3] Baihui Xu, Jie Zhang, Yu Xu, Jieli Lu, Min Xu, Yuhong Chen, Yufang Bi, Guang Ning. Association between history of abortion and metabolic syndrome in middle-aged and elderly Chinese women[J]. Front Med, 2013, 7(1): 132-137.
[4] Yuyu Jiang, Janet L. Larson. IDEEA activity monitor: validity of activity recognition for lying, reclining, sitting and standing[J]. Front Med, 2013, 7(1): 126-131.
[5] Hui SUN MD, Xiuling DENG MM, Fangxi XIAO MD, Lulu CHEN MD, Huiqing LI MD, . Role of exercise training on insulin resistance and TNF-α in high-fat diet rats[J]. Front. Med., 2009, 3(4): 403-407.
[6] Shilin DENG MD , . Effects of exercise therapy on bone mineral density in early postmenopausal women: a controlled trial[J]. Front. Med., 2009, 3(3): 323-329.
[7] TIAN Hui, FANG Fusheng, SHAO Yinghong, LI Chunlin, LI Jian, YAN Shuangtong, ZHONG Wenwen, LI Yanyan, SUN Jingfang, CAO Xiutang, PAN Changyu, LU Juming, DOU Jingtao, MA Fangling, ZHOU Xiaoman. Value of waist circumference, body mass index and hyperinsulinaemia in identifying metabolic syndrome[J]. Front. Med., 2008, 2(4): 400-405.
[8] YAO Hua, SUN Yuping, LI Qing, YAO Wenhai, WANG Qiuyun, HU Jing, ABUDUREHEMAN Gulibaha, TUO Ling, JIANG Yan. The correlated study of hyperuricemia and metabolic syndromes among males of Han ethnicity in the Xinjiang Uygur Autonomous Region, China[J]. Front. Med., 2008, 2(1): 108-112.
[9] ZHANG Li, MI Jie, LI Ming, JIANG Benyu. Association of metabolic syndrome with arterial compliance in children and adolescents[J]. Front. Med., 2007, 1(1): 68-73.
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