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Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...

Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

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Injuries in karate: systematic review.

Roger E Thomas¹, Jodie Ornstein¹

¹a Department of Family Medicine, Faculty of Medicine , University of Calgary , Calgary , Alberta , Canada.

The Physician and Sportsmedicine

|May 9, 2018

Summary

Karate athletes experience similar injury rates regardless of gender, with head and neck injuries being most common. Standardized data collection is crucial for future research on injury prevention in Karate.

Keywords:

Karate martial arts systematic review wounds and injuries

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Area of Science:

Sports Medicine
Traumatology
Martial Arts Research

Background:

Karate, a popular martial art, involves dynamic movements and physical contact, leading to potential injuries.
Understanding the epidemiology of Karate injuries is essential for developing effective prevention strategies.

Purpose of the Study:

To systematically review and synthesize existing literature on Karate-related injuries.
To assess injury rates, types, locations, and causative mechanisms in Karate practitioners.

Main Methods:

A comprehensive literature search was conducted across six electronic and four grey literature databases.
Two independent reviewers assessed study eligibility, extracted data, and evaluated the risk of bias using the Newcastle-Ottawa scale.
Injury rates were calculated per 1000 athletic encounters (AE) and per 1000 minutes AE, with injury location and type weighted by study size.

Main Results:

Competition injury rates were similar for males (111.4/1000AE) and females (105.8/1000AE).
Head/neck injuries were most prevalent (44.0/1000AE males, 41.2/1000AE females), followed by lower extremities.
Contusions, abrasions, and lacerations were the most common injury types, with punches being a frequent cause for males.

Conclusions:

Significant heterogeneity exists in reported Karate injury rates due to varied definitions and data collection methods.
Standardization of injury definitions and data collection forms is recommended for future research.
Further investigation into the effects of training, weight, age, and experience on injury rates is needed, along with RCTs for intervention strategies.