Associations between seasonal meteorological conditions and the daily step count of adults in Yokohama, Japan: Results of year-round pedometer measurements in a large population.
Associations between seasonal meteorological conditions and the daily step count of adults in Yokohama, Japan: Results of year-round pedometer measurements in a large population.
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DOI：
10.1016/j.pmedr.2017.07.009
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发表时间：
2017-12
影响因子：
2.8
通讯作者：
Asami Y
中科院分区：
文献类型：
--
作者：
Hino K;Lee JS;Asami Y
人们的全年人际步数变化根据气象条件没有完全理解，因为完整的全年数据从一个足够的样本的一般人口是很难获得的。本研究使用从2015年4月至2016年3月在日本横滨收集的大型队列（N = 24，625）的全年数据，检查了气象条件与客观测量的步数之间的关联。采用两段线性回归分析方法，研究了月平均日步数与三个气象指标（温度平均值、温湿指数（THI）和净有效温度（NET））之间的关系。每天的步数在19.4至20.7 °C之间达到峰值。在较低的温度下，每增加1 ℃，每天的步数增加在46.4和52.5步之间。在高于步数峰值的温度下，每增加1 °C，每天的步数减少98.0至187.9步。此外，这些影响在老年人中比非老年人更明显。当使用THI和NET而不是温度时，可以看到类似的趋势。在三个气象指标中，最高的R2值与步数观察与THI在所有四个组。高和低的气象指数都不鼓励人们走路，指数的较高值比较低值对步数的影响更大，特别是在老年人中。在评估的三个指数中，THI最能解释步数的季节性波动。我们使用了从一个大型队列（N = 24，625）中收集的全年数据。高和低的气象指数都使人们不愿步行。在两种性别中，老年人比非老年人的效果更明显。温度-湿度指数（THI）最好地解释了季节性波动的步骤。
People's year-round interpersonal step count variations according to meteorological conditions are not fully understood, because complete year-round data from a sufficient sample of the general population are difficult to acquire. This study examined the associations between meteorological conditions and objectively measured step counts using year-round data collected from a large cohort (N = 24,625) in Yokohama, Japan from April 2015 to March 2016. Two-piece linear regression analysis was used to examine the associations between the monthly median daily step count and three meteorological indices (mean values of temperature, temperature-humidity index (THI), and net effective temperature (NET)). The number of steps per day peaked at temperatures between 19.4 and 20.7 °C. At lower temperatures, the increase in steps per day was between 46.4 and 52.5 steps per 1 °C increase. At temperatures higher than those at which step counts peaked, the decrease in steps per day was between 98.0 and 187.9 per 1 °C increase. Furthermore, these effects were more obvious in elderly than non-elderly persons in both sexes. A similar tendency was seen when using THI and NET instead of temperature. Among the three meteorological indices, the highest R2 value with step counts was observed with THI in all four groups. Both high and low meteorological indices discourage people from walking and higher values of the indices adversely affect step count more than lower values, particularly among the elderly. Among the three indices assessed, THI best explains the seasonal fluctuations in step counts. We used year-round data collected from a large cohort (N = 24,625). Both high and low meteorological indices discourage people from walking. Effects were more obvious in elderly than non-elderly persons in both sexes. Temperature-humidity index (THI) best explains the seasonal fluctuations in steps.