Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Institute on Aging, Seoul National University, Seoul, Republic of Korea.
BMC Public Health. 2024 Sep 27;24(1):2606. doi: 10.1186/s12889-024-19922-8.
Physical fitness is considered an important indicator of the health of the general public. In particular, the physical fitness of the older adults is an important requirement for determining the possibility of independent living. Therefore, the purpose of this study was to examine the association between chronological age and physical fitness variables in the National Fitness Award Cohort study data and to develop multiple linear regression analyses to predict fitness age using dependent variables.
Data from 501,774 (359,303 adults, 142,471 older adults) individuals who participated in the Korea National Fitness Award Cohort Study from 2017 to 2021 were used. The physical fitness tests consisted of 5 candidate markers for adults and 6 candidate markers for the older adults to measure muscle strength, muscle endurance, cardiopulmonary endurance, flexibility, balance, and agility. Pearson's correlation and stepwise regression analyses were used to analyze the data.
We obtained a predicted individual fitness age values from physical fitness indicators for adults and older adults individuals, and the mean explanatory power of the fitness age for adults was [100.882 - (0.029 × VOmax) - (1.171 × Relative Grip Strength) - (0.032 × Sit-up) + (0.032 × Sit and reach) + (0.769 × Sex )] was 93.6% (adjusted R); additionally, the fitness age for older adults individuals was [79.807 - (0.017 × 2-min step test) - (0.203 × Grip Strength) - (0.031 × 30-s chair stand) - (0.052 × Sit and reach) + (0.985 × TUG) - (3.468 × Sex ) was 24.3% (adjusted R).
We suggest the use of fitness age as a valid indicator of fitness in adults and older adults as well as a useful motivational tool for undertaking exercise prescription programs along with exercise recommendations at the national level.
身体健康被认为是公众健康的重要指标。特别是，老年人的身体健康是确定独立生活可能性的重要要求。因此，本研究的目的是检验国民健康奖队列研究数据中年龄与身体适应力变量之间的关系，并使用因变量开发多元线性回归分析来预测适应力年龄。
本研究使用了 2017 年至 2021 年参加韩国国民健康奖队列研究的 501774 名（359303 名成年人，142471 名老年人）个体的数据。身体适应力测试包括 5 项成年人候选标志物和 6 项老年人候选标志物，用于测量肌肉力量、肌肉耐力、心肺耐力、柔韧性、平衡和敏捷性。使用 Pearson 相关分析和逐步回归分析对数据进行分析。
我们从成年人和老年人的身体适应力指标中获得了个体适应力年龄的预测值，成年人的适应力年龄的平均解释能力为[100.882 - (0.029 × VOmax) - (1.171 × 相对握力) - (0.032 × 仰卧起坐) + (0.032 × 坐立前伸) + (0.769 × 性别)]为 93.6%（调整后的 R）；此外，老年人的适应力年龄为[79.807 - (0.017 × 2 分钟踏步测试) - (0.203 × 握力) - (0.031 × 30 秒坐立站起) - (0.052 × 坐立前伸) + (0.985 × TUG) - (3.468 × 性别)]为 24.3%（调整后的 R）。
我们建议将适应力年龄用作成年人和老年人身体适应力的有效指标，以及在国家层面上制定运动处方计划和运动建议的有用激励工具。
