Descriptive epidemiology of pedometer-determined physical activity
Descriptive epidemiology of pedometer-determined physical activity
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DOI：
10.1249/01.mss.0000139806.53824.2e
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发表时间：
2004-09-01
期刊：
影响因子：
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通讯作者：
Kimsey, CD
中科院分区：
文献类型：
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作者：
Tudor-Locke, C;Ham, SA;Kimsey, CD
目的：本研究的双重目的是：1）提供代表计步器确定的体力活动（PA）的初步描述性流行病学数据，2）探索每日步数的个体内变异性来源。方法：所有参与者（76名男性，年龄48.4 ± 16.3岁，体重指数（BMI）= 27.1 ± 5.1 kg（.）m（-2）; 133名女性，年龄= 47.4 +/- 17.5岁，BMI = 26.9 +/- 5.7 kg（.）m（-2））居住在南卡罗来纳州萨姆特县，通过电话招募，接受邮寄的工具包，自我监测PA 1周。统计分析比较了性别、种族、年龄组、教育和收入水平以及BMI类别之间的平均每天步数。每天的平均步数也进行了比较：1）工作日与周末，2）工作日与非工作日，3）运动/锻炼日与无运动日。结果：整个样本需要5931 +/- 3664步（.）d（-1）（男性= 7192 +/- 3596 vs女性= 5210 +/- 3518步（.）d（-1），t = 7.88，P < 0.0001）。种族、年龄、教育、收入和BMI也显示出显著差异。此外，工作日显著高于周末，工作日高于非工作日，运动/锻炼日高于非运动/锻炼日。结论：大的标准差反映了广泛的分布的走动行为。无论如何，重要的差异仍然是明显的人口统计学特征，BMI类别，一周中的一天，并报告参与工作或运动/锻炼。
Purpose: The dual purposes of this study were: 1) to provide preliminary descriptive epidemiology data representing pedometer-determined physical activity (PA) and 2) to explore sources of intra-individual variability in steps per day. Methods: All participants (76 males, age 48.4 +/- 16.3 yr, body mass index (BMI) = 27.1 +/- 5.1 kg(.)m(-2); 133 females, age = 47.4 +/- 17.5 yr, BMI = 26.9 +/- 5.7 kg(.)m(-2)) resided in Sumter County, SC, and were recruited by telephone to receive a mailed kit to self-monitor PA for 1 wk. Statistical analyses compared mean steps per day between sexes, races, age groups, education and income levels, and BMI categories. Mean steps per day were also compared between: 1) weekdays versus weekend days, 2) workdays versus nonworkdays, and 3) days of sport/exercise versus no participation. Results: The entire sample took 5931 +/- 3664 steps(.)d(-1) (males = 7192 +/- 3596 vs females = 5210 +/- 3518 steps(.)d(-1), t = 7.88, P < 0.0001). Significant differences were also indicated by race, age, education, income, and BMI. In addition, weekdays were significantly higher than weekend days, workdays were higher than nonworkdays, and sport/exercise days were higher than nonsport/exercise days. Conclusions: The large standard deviations reflect a wide distribution of ambulatory behavior. Regardless, important differences are still evident by demographic characteristics, BMI categories, day of the week, and reported engagement in work or sport/exercise.