AGE-SPECIFIC CORRELATION-ANALYSIS OF LONGITUDINAL PHYSICAL-FITNESS LEVELS IN MEN
AGE-SPECIFIC CORRELATION-ANALYSIS OF LONGITUDINAL PHYSICAL-FITNESS LEVELS IN MEN
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DOI：
10.1007/bf00843765
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发表时间：
1992-06-01
影响因子：
3
通讯作者：
VANDENBOSSCHE, C
中科院分区：
文献类型：
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作者：
BEUNEN, G;LEFEVRE, J;VANDENBOSSCHE, C
本研究调查了与成人健康和体能表现相关的体能分数在不同年龄段的追踪情况。此外，还研究了青少年身体特征对成人体能分数解释的独立贡献。样本包括173名在30岁时接受观察的成年人。这些受试者从13岁到18岁每年都接受跟踪观察，并在30岁时再次进行测量。在每个年龄段，都进行了九项体能测试，同时记录人体测量尺寸、生物成熟度、体育参与情况和家庭特征。通过13岁到18岁每个年龄段之间以及30岁时的体能表现分数的年龄间相关性来衡量追踪情况。通过逐步多元回归分析和判别分析，以成人体能分数为因变量，以体能、成熟度、人体测量特征、体育参与情况和家庭背景为自变量，研究青少年时期观察到的特征对成人体能解释的独立贡献。从13岁到30岁，柔韧性的追踪程度适中较高（可解释46%的方差），其他体能参数的追踪程度为低到中等（可解释19%到27%的方差），脉搏恢复和静态力量的追踪程度较低（可解释7%到11%的方差）。从18岁到30岁，柔韧性的追踪程度高，爆发力和静态力量的追踪程度适中较高，除脉搏恢复外，其他体能参数的追踪程度适中。当青少年时期观察到的其他特征进入回归方程或判别函数时，成人体能水平可解释的方差量显著增加。这表明，除了体能分数、人体测量尺寸和骨骼成熟度外，行为特征也对成人体能水平的预测有显著贡献。
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 (70% 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. This indicated that in addition to fitness scores, anthropometric dimensions, and skeletal maturation, behavioural characteristics also added significantly to the prediction of adult fitness levels.