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相关概念视频

Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Calculating Standard Deviation01:08

Calculating Standard Deviation

The standard deviation is the most common measure of variation. It is a value that tells us how far a data value is from the mean value in a dataset. Further, the standard deviation is always a positive value or zero.
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high variation.       
Let us...
Range Rule of Thumb to Interpret Standard Deviation01:13

Range Rule of Thumb to Interpret Standard Deviation

The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height of...
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...

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相关实验视频

Updated: Jun 24, 2026

Tilt Testing with Combined Lower Body Negative Pressure: a "Gold Standard" for Measuring Orthostatic Tolerance
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来自90+研究的参考值:五次坐下来站立测试

Katherine A Colcord1,2, Nikki J Arnold3, Luohua Jiang1

  • 1Department of Epidemiology and Biostatistics, University of California, Irvine, California.

Journal of geriatric physical therapy (2001)
|August 15, 2025
PubMed
概括

现在可以获得90岁以上个体的五次坐立测试 (5XSST) 的新参考值. 这些值对于准确评估老年人下肢强度至关重要.

关键词:
在FTSST中,FTSST是FTSST.在FTSTSTS中.规范性数据 规范性数据年龄较大的成年人.最古老的-最古老的-最古老的

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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study
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相关实验视频

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科学领域:

  • 老年学是指老年学的学科.
  • 物理疗法物理治疗
  • 生物医学统计 生物医学统计

背景情况:

  • 对于90岁及以上的个人,存在有限的体力表现参考值.
  • 五次坐立测试 (5XSST) 是对老年人下肢强度的关键测量.

研究的目的:

  • 为老年人口 (90岁以上) 建立规范的5XSST参考值.
  • 改进5XSST评分的分类和解释在这个人口群体中.

主要方法:

  • 来自90+研究队列的数据的横截面分析.
  • 使用传统和修改的测试协议收集了5XSST数据.
  • 根据年龄,性别和测试类型分层的计算平均值,标准偏差和百分位数.

主要成果:

  • 972名参与者 (平均年龄为93.0岁) 完成了5XSST.
  • 传统5XSST的平均时间为16.2s (SD 6.3s);修改后的5XSST时间为22.6s (SD 9.9s).
  • 年龄较大,经过修改的测试,住院生活和跌倒史与较慢的时间有关;性别并不重要.

结论:

  • 该研究为90岁以上的个人提供了第一个5XSST参考值.
  • 这些值对于准确评估和解释老年人功能强度至关重要.
  • 来自年轻人群的当前参考值对于这个年龄组来说是不理想的.