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関連する概念動画

Inclusive Fitness00:57

Inclusive Fitness

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Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
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Weighted Mean00:57

Weighted Mean

5.5K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
5.5K
Boxplot01:12

Boxplot

10.8K
Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
10.8K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

3.2K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.2K
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

5.8K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
5.8K
Exercise and Muscle Performance01:27

Exercise and Muscle Performance

6.2K
Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
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関連する実験動画

Updated: May 4, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
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大規模な身体活動データは,世界における活動格差を明らかにする

Tim Althoff1, Rok Sosič1, Jennifer L Hicks2

  • 1Computer Science Department, Stanford University, Stanford, California, USA.

Nature
|July 11, 2017
PubMed
まとめ

運動不足は 毎年 何百万人もの命を 奪っています この研究では 平均的な体積だけでなく 運動の不平等が 肥満を予測し 特に女性の場合 都市部での歩行が このギャップを縮めていることが分かりました

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関連する実験動画

Last Updated: May 4, 2026

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05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

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Physical Activity Measurement in Children Accepting Table Tennis Training
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Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
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Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

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科学分野:

  • 世界保健
  • 流行病学について
  • 都市計画

背景:

  • 運動不足は 世界的な流行病で 毎年530万人以上が死亡しています
  • 自由生活における身体活動パターンに関する大規模なデータは世界中で不足しています.
  • スマートフォンは グローバルな身体活動測定のための 新しいツールです

研究 の 目的:

  • スマートフォンの加速度計を用いて 世界的な身体活動パターンを調査します
  • 活動格差,肥満,建築環境との関係を分析する.
  • 身体活動のジェンダーギャップとその決定要因を理解する.

主な方法:

  • 111カ国の71万7,527人の 身体活動のデータセットを利用しました
  • スマートフォンの加速度計を用いて,大規模な,現実世界の活動を監視しています.
  • 関連活動分布,不平等度数,肥満の発生率と都市歩行可能なデータ

主要な成果:

  • 各国の身体活動分布の格差が顕著であった.
  • 平均的な量ではなく 活動不平等が 肥満の予測要因でした
  • 女性における身体活動の減少は,全体的な活動格差に大きく寄与した.
  • 都市部での歩行能力の向上は 男女間の活動格差の縮小と 格差の減少と相関しています
  • 歩行可能な環境は 人口の多様性,特に女性の身体活動を増大させました

結論:

  • 身体活動における不平等に対処することは公衆衛生の介入において極めて重要です
  • 都市計画と歩行可能な環境の促進は 健康格差を軽減できます
  • スマートフォンなどのテクノロジーを活用することで 世界規模の健康研究と政策開発が可能になります