Literature DB >> 1618193

Age-specific correlation analysis of longitudinal physical fitness levels in men.

G Beunen1, J Lefevre, A L Claessens, R Lysens, H Maes, R Renson, J Simons, B Vanden Eynde, B Vanreusel, C Van den Bossche.   

Abstract

This study investigated the age-specific tracking of adult health- and performance-related fitness scores. In addition, the independent contribution of adolescent physical characteristics to the explanation of adult fitness scores was also studied. The sample consisted of 173 adults observed at age 30 years. These subjects had been followed at annual intervals from age 13 to age 18 years and were remeasured at age 30 years. At each age nine fitness tests were administered together with the recording of anthropometric dimensions, biological maturation, sports participation and family characteristics. Tracking was measured by the inter-age correlations at each age between 13 and 18 years and the performance scores at 30 years. The independent contribution of characteristics observed during adolescence to the explanation of adult fitness was investigated through stepwise multiple regression analysis and discriminant analysis with the adult fitness scores as the dependent variables and the fitness, maturation, anthropometric characteristics, sports participation and family background as the independent variables. Tracking between age 13 and age 30 years was moderately high (46% of variance explained) for flexibility, low to moderate (between 19% and 27% of variance explained) for the other fitness parameters and low for pulse recovery and static strength (7% to 11% of variance explained). Between age 18 and age 30 years the tracking was high for flexibility, moderately high for explosive and static strength, and moderate for the other fitness parameters except for pulse recovery. The amount of variance of adult fitness levels explained increased significantly when other characteristics observed during adolescence entered the regressions or discriminant functions.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1992        PMID: 1618193     DOI: 10.1007/bf00843765

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  16 in total

1.  Stability of anthroposcopic and anthropometric estimates of physique in Belgian boys followed longitudinally from 13 to 18 years of age.

Authors:  A Claessens; G Beunen; J Simons
Journal:  Ann Hum Biol       Date:  1986 May-Jun       Impact factor: 1.533

2.  Factors affecting the relationship between childhood and adult cholesterol levels: the Muscatine Study.

Authors:  R M Lauer; J Lee; W R Clarke
Journal:  Pediatrics       Date:  1988-09       Impact factor: 7.124

3.  Aerobic power and pubertal peak height velocity in Belgian boys.

Authors:  B Vanden Eynde; D Vienne; M Vuylsteke-Wauters; D Van Gerven
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

4.  Strength development in boys from 10 through 16 years.

Authors:  A V Carron; D A Bailey
Journal:  Monogr Soc Res Child Dev       Date:  1974-11

Review 5.  Genetics for the sport scientist: selected methodological considerations.

Authors:  C Bouchard; R M Malina
Journal:  Exerc Sport Sci Rev       Date:  1983       Impact factor: 6.230

6.  Studies of blood pressure in Tecumseh, Michigan. II. Antecedents in childhood of high blood pressure in young adults.

Authors:  M W Higgins; J B Keller; H L Metzner; F E Moore; L D Ostrander
Journal:  Hypertension       Date:  1980 Jul-Aug       Impact factor: 10.190

7.  Transitions of cardiovascular risk from adolescence to young adulthood--the Bogalusa Heart Study: II. Alterations in anthropometric blood pressure and serum lipoprotein variables.

Authors:  L S Webber; J L Cresanta; J B Croft; S R Srinivasan; G S Berenson
Journal:  J Chronic Dis       Date:  1986

8.  Tracking of blood lipids and blood pressures in school age children: the Muscatine study.

Authors:  W R Clarke; H G Schrott; P E Leaverton; W E Connor; R M Lauer
Journal:  Circulation       Date:  1978-10       Impact factor: 29.690

9.  Childhood physical fitness tests: predictor of adult physical activity levels?

Authors:  B A Dennison; J H Straus; E D Mellits; E Charney
Journal:  Pediatrics       Date:  1988-09       Impact factor: 7.124

10.  Dormont High School (Pittsburgh, Pennsylvania) blood pressure study.

Authors:  L H Kuller; M Crook; M J Almes; K Detre; G Reese; G Rutan
Journal:  Hypertension       Date:  1980 Jul-Aug       Impact factor: 10.190

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  6 in total

Review 1.  Factors affecting levels of physical activity in adults.

Authors:  Vern Seefeldt; Robert M Malina; Michael A Clark
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

2.  Adolescent flexibility, endurance strength, and physical activity as predictors of adult tension neck, low back pain, and knee injury: a 25 year follow up study.

Authors:  L O Mikkelsson; H Nupponen; J Kaprio; H Kautiainen; M Mikkelsson; U M Kujala
Journal:  Br J Sports Med       Date:  2006-02       Impact factor: 13.800

3.  Tracking of physical fitness levels from childhood and adolescence to adulthood: a systematic review and meta-analysis.

Authors:  Antonio García-Hermoso; Mikel Izquierdo; Robinson Ramírez-Vélez
Journal:  Transl Pediatr       Date:  2022-04

4.  Prediction of physical activity level in adulthood by physical characteristics, physical performance and physical activity in adolescence: an 11-year follow-up study.

Authors:  B Glenmark; G Hedberg; E Jansson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

5.  Effects of reallocating time in different activity intensities on health and fitness: a cross sectional study.

Authors:  Daniel Aggio; Lee Smith; Mark Hamer
Journal:  Int J Behav Nutr Phys Act       Date:  2015-06-24       Impact factor: 6.457

6.  Top 10 International Priorities for Physical Fitness Research and Surveillance Among Children and Adolescents: A Twin-Panel Delphi Study.

Authors:  Justin J Lang; Kai Zhang; César Agostinis-Sobrinho; Lars Bo Andersen; Laura Basterfield; Daniel Berglind; Dylan O Blain; Cristina Cadenas-Sanchez; Christine Cameron; Valerie Carson; Rachel C Colley; Tamás Csányi; Avery D Faigenbaum; Antonio García-Hermoso; Thayse Natacha Q F Gomes; Aidan Gribbon; Ian Janssen; Gregor Jurak; Mónika Kaj; Tetsuhiro Kidokoro; Kirstin N Lane; Yang Liu; Marie Löf; David R Lubans; Costan G Magnussen; Taru Manyanga; Ryan McGrath; Jorge Mota; Tim Olds; Vincent O Onywera; Francisco B Ortega; Adewale L Oyeyemi; Stephanie A Prince; Robinson Ramírez-Vélez; Karen C Roberts; Lukáš Rubín; Jennifer Servais; Diego Augusto Santos Silva; Danilo R Silva; Jordan J Smith; Yi Song; Gareth Stratton; Brian W Timmons; Grant R Tomkinson; Mark S Tremblay; Stephen H S Wong; Brooklyn J Fraser
Journal:  Sports Med       Date:  2022-08-24       Impact factor: 11.928

  6 in total

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