Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-04T20:10:05.328Z Has data issue: false hasContentIssue false
  • English
  • Français

Longitudinal relationships between lifestyle and cardiovascular and bone health status indicators in males and females between 13 and 27 years of age; a review of findings from the Amsterdam Growth and Health Longitudinal Study

Published online by Cambridge University Press:  02 January 2007

W. Van Mechelen ,
J.W.R Twisk ,
H.C.G Kemper ,
J. Snel  and
G.B. Post
W. Van Mechelen*
Affiliation:
Institute for Research in Extramural Medicine, Faculty of Medicine, Vrije Universiteit Amsterdam, NL-1081 BT Amsterdam, the Netherlands Department of Social Medicine, Faculty of Medicine, Vrije Universiteit Amsterdam, NL-1081 BT Amsterdam, the Netherlands
J.W.R Twisk
Affiliation:
Institute for Research in Extramural Medicine, Faculty of Medicine, Vrije Universiteit Amsterdam, NL-1081 BT Amsterdam, the Netherlands
H.C.G Kemper
Affiliation:
Institute for Research in Extramural Medicine, Faculty of Medicine, Vrije Universiteit Amsterdam, NL-1081 BT Amsterdam, the Netherlands
J. Snel
Affiliation:
Department of Psychophysiology, Faculty of Psychology, University of Amsterdam, NL-1018 WB, Amsterdam
G.B. Post
Affiliation:
Institute for Research in Extramural Medicine, Faculty of Medicine, Vrije Universiteit Amsterdam, NL-1081 BT Amsterdam, the Netherlands
*
*Corresponding author: Fax: +31 20 4448181.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The Amsterdam Growth and Health Longitudinal Study is longitudinal co-hort study on 181 males and females initially aged 13 years, with follow-up measurements at ages 14, 15, 16, 21 and 27 years.

Methods:

Anthropometrical, biological and lifestyle parameters, and age 27 also bone mineral density (BMD) of the lumbar spine (L2–L4), were measured repeatedly. Adolescent dietary intake and physical activity was related to adult cardiovascular and bone health status indicators by MLR; longitudinal relationships between physical activity and dietary intake, and cardiovascular health status indicators were assessed by GEE-analysis.

Results:

Adolescent physical activity was not related to most of the indicators of adult cardiovascular health status, with the exception of a positive relationship with the waist-to-hip in females; in males ‘energetic’ adolescent physical activity contributed significantly to adult BMD; both in males and females, when taking the entire longitudinal period into account, peak strain physical activity was a relatively more important predictor of adult BMD than ‘energetic’ physical activity; calcium intake during adolescence was not a significant predictor of bone health status measured at age 27, both in males and females; a consistent significant positive longitudinal relationship was found between physical activity and serum HDL-cholesterol and significant negative longitudinal relationships were found with the subscapular skinfold and with body fat mass; a positive longitudinal relationship was found between serum total cholesterol (TC) and cholesterol intake, saturated fat (SFA) intake and the Keys-score; a negative longitudinal relationship was found between TC and polyunsaturated fat and total energy intake; for HDL a positive longitudinal relationship was found with SFA intake; low tracking was found for physical (in-) activity and dietary intake variables.

Keywords

Physical activityNutritionCardiovascular healthBone massTrackingLongitudinal studyAdolescenceYoung adults
Type
Research Article
Information
Public Health Nutrition , Volume 2 , Supplement 3a , March 1999 , pp. 419 - 427
Copyright
Copyright © CABI Publishing 1999

References

1Pate, RR, Pratt, M, Blair, SN, Haskell, WL, Macera, CA, Bouchard, C, Bachner, D, Ettinger, W, Heath, GW, King, AC, Krisha, A, Leon, AS, Marcus, BH, Marcus, J, Paffenbanger, RS, Patrick, K, Pollock, ML, Rippe, JM, Sallis, J, Wilmore, JH. Physical activity and public health: A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. J. Am. Med. Assoc. 1995; 273: 402–7.CrossRefGoogle Scholar
2Prentice, AM, Jebb, SA. Obesity in Britain: gluttony or sloth? Brit. Med. J. 1995; 311 (7002): 437–9.CrossRefGoogle ScholarPubMed
3 Anonymus. Obesity. Preventing and managing the global epidemic. Geneva, WHO/NUT/NCD/98.1, 1998.Google Scholar
4Post, GB, Kemper, HCG, Twisk, J, van Mechelen, W. The association between dietary patterns and cardio vascular disease risk indicators in healthy youngsters: Results covering fifteen years of longitudinal development. Eur. J. Clin. Nutr. 1997; 51: 387–93.CrossRefGoogle ScholarPubMed
5Riddoch, C, Boreham, CAG. Physical activity, fitness and children's health: current concepts. In: Armstrong, N, van Mechelen, W, eds. The Oxford Textbook of pediatric sports exercise science and medicine. Oxford University Press, Oxford, UK (in press).Google Scholar
6Twisk, JWR, Kemper, HCG, Mellenbergh, GJ, van Mechelen, W, Post, GB. Relation between the longitudinal development of lipoprotein levels and “life style” parameters during adolescence and young adulthood. An. Epid. 1996; 6(3): 246–56.CrossRefGoogle Scholar
7Post, GB. Nutrition in adolescence, a longitudinal study in dietary patterns from teenage to adult. Thesis Agricultural University Wageningen, Haarlem: de Vrieseborch, 1989.Google Scholar
8 NEVO-table. De Nederlandse Voedingsmiddelen Tabel (in Dutch), 1991.Google Scholar
9Verschuur, R. Daily physical activity and health. Longitudinal changes during the teenage period. Thesis Universiteit van Amsterdam, Haarlem: de Vrieseborch, 1987.Google Scholar
10Huang, TC, Chen, CP, Wefler, V, Raftery, A. A stable reagent for the Lieberman Buchard reaction: application to rapid serum cholesterol determination. Analyt.I Chem. 1961; 33: 1405–7.Google Scholar
11Abell, LL, Levy, BB, Brody, BB, Kendal, FE. Simplified method for the estimation of total cholesterol in serum and demonstration of its specificity. J. Biol. Chem. 1952; 195: 357–66.Google Scholar
12Burstein, M, Samaille, J. Sur une dosage rapide du cholesterol lié aux-alpha-et aux bétalipoprotéines du serum. Clinica Chim Acta 1960; 5: 609–11.CrossRefGoogle Scholar
13Weiner, JS, Lourie, JA. Human Biology. A guide to field methods. IBP Handbook No. 9, Oxford: Blackwell, 1968.Google Scholar
14Kemper, HCG, Verschuur, R. Maximal aerobic power in 13- and 14-year old teenagers in relation to biological age. Int. J. Sports Med. 1981; 2: 97–100.Google Scholar
15Zeger, SL, Liang, KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 1986; 42: 121–130.Google Scholar
16Gebski, V, Leung, O, McNeil, D, Lunn, D. SPIDA User manual. version 6. Australia, NSW: Macquarie University, 1992.Google Scholar
17Twisk, JWR, van Mechelen, W, Kemper, HCG, Post, GB. The relation between “long-term exposure” to lifestyle during adolescence and young adulthood and risk factors for cardiovasular disease at adult age. J. Adolescent Health 1997; 20: 309–19.CrossRefGoogle Scholar
18van Lenthe, FJ, van Mechelen, W, Kemper, HC, Post, GB. Behavioral variables and the development of a central pattern of body fat from adolescence into adulthood in normal-weight whites: the Amsterdam Growth and Health Study. Am. J. of Clin. Nutr. 1998; 67: 846–52.CrossRefGoogle ScholarPubMed
19Twisk, JWR, Kemper, HCG, Mellenbergh, GJ, van Mechelen, W. Relation between the longitudinal development of lipoprotein levels and lifestyle parameters during adolescence and young adulthood. Ann. of Epid. 1996; 6: 246–56.CrossRefGoogle ScholarPubMed
20Twisk, JWR, Kemper, HCG, van Mechelen, W, Post, GB, van Lenthe, FJ. Body fatness: longitudinal relationship of body mass index and the sum of skinfolds with other risk factors for coronary heart disease. Int. J. Obesity 1998; 22: 915–22.Google Scholar
21Kemper, HCG, Post, GB, Twisk, JWR, van Mechelen, W. Lifestyle and obesity in adolescence and young adulthood: results from the Amsterdam Growth and Health Longitudinal Study (AGAHLS). Int. J. Obesity 1998; 23 (suppl.3): S34–S40.CrossRefGoogle Scholar
22van Mechelen, W, Twisk, JWR, van Lenthe, FJ, Post, GB, Snel, J, Kemper, HCG. Longitudinal relationships between resting heart rate and biological risk factors for cardiovascular disease: the Amsterdam Growth and Health Study. J. Sport Sci. 1998; 16: S17–S23.Google Scholar
23Keys, A, Anderson, JT, Grande, F. Serum cholesterol response to changes in diet, I-IV. Metabolism 1965; 14: 747–87.CrossRefGoogle Scholar
24Welten, DC, Kemper, HCG, Post, GB, van Mechelen, W, Twisk, JWR, Lips, P, Teule, GJ. Weight bearing activity during youth is a more important factor for peak bone mass than calcium intake. J. Bone Min. Res. 1994; 9(7): 1089–96.CrossRefGoogle ScholarPubMed
25Groothausen, J, Siemer, H, Kemper, HCG, Twisk, J, Welten, D. Influence of peak strain on lumbar bone mineral density: an analysis of 15-year physical activity in young males and females. Ped. Ex. Sci. 1997; 9: 159–73.Google Scholar
26 US Department of Health and Human Services. Physical activity and health; a report of the surgeon general. United States, Atlanta, GA: National Center for Disease Control and Prevention, 1996.Google Scholar
27 American College of Sports Medicine. Position stand: the recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness in healthy adults. Med. Sci. Sports Ex. 1990; 22: 265–74.Google Scholar
28Twisk, JWR, van Mechelen, W, Kemper, HCG, Post, GB. Tracking of risk factors for coronary heart disease over a 14 year period: a comparison between lifestyle and biological risk factors with data from the Amsterdam Growth and Health Study. American J. Epid. 1997; 145(10): 888–98.Google Scholar
29van Mechelen, W, Kemper, HCG. Habitual physical activity in longitudinal perspective. In: The Amsterdam Growth Study. A Longitudinal Analysis of Health, Fitness and Lifestyle Champaign, Ill. Human Kinetics Publ., HK Sport Science Monograph Series Vol. 6. 1995: 135–59.Google Scholar
30Malina, RM. Tracking of physical activity and physical fitness across the lifespan. Res. Q. Ex. Sport 1996; 67(Suppl to No. 3): S1–S10.Google ScholarPubMed
31Bailey, DA. The Saskatchewan pediatric bone mineral accrual study: bone mineral acquisation during the growing years. Int. J. Sports Med. 1997; 18(Suppl.3): S191–94.Google Scholar
32van Mechelen, W, Twisk, JWR, Post, GB, Snel, J, Kemper, HCG. Habitual physical activity of young Dutch males and females: 15 years of follow-up in the Amsterdam Growth and Health Study. Med. Sci. Sports Ex. (in press).Google Scholar