经过修订的通用运动优化得分 (GMOS-R) 与社会经济分层百分位数排名
Christa Einspieler1, Arend F Bos2, Alicia J Spittle3
1Interdisciplinary Developmental Neuroscience-iDN, Division of Phoniatrics, Medical University of Graz, 8010 Graz, Austria.
Journal of clinical medicine
|April 27, 2024
概括
修订的通用运动优化得分 (GMOS-R) 为评估婴儿的一般运动提供了新的百分位数等级. 居住的国家,而不是性别或早产,影响GMOS-R得分,需要社会经济分层等级.
科学领域:
- 儿科神经学 儿科神经学
- 发育儿科 发育儿科
- 运动科学运动科学
背景情况:
- 总体运动最佳性得分 (GMOS) 量化了婴儿的总体运动 (GMs).
- 最近的心理测量分析导致了GMOS-Revised (GMOS-R) 成绩表的开发.
- 使用新的百分位数级的验证对于GMOS-R的临床实用性至关重要.
研究的目的:
- 为GMOS-R建立百分位数等级.
- 检查性别,早产和出生/居住国对GMOS-R分布的影响.
主要方法:
- 在1983年的婴儿国际队列中应用了GMOS-R.
- 在不同妊娠年龄段对婴儿进行了评估,从早产到产后.
- 数据根据世界银行的收入分类进行分类:中低收入和中高收入国家 (LMICs/UMICs) 与高收入国家 (HICs).
主要成果:
- 婴儿的性别和早产状态没有显著影响转基因分类或GMOS-R得分.
- 居住的国家成为影响GMOS-R分布的重要因素.
- 来自LMIC/UMIC的婴儿与来自HIC的婴儿相比,其GMOS-R中位数较低.
结论:
- 该研究为GMOS-R提供了验证的百分位数,反映了社会经济分层.
- 对于来自LMIC/UMIC和HIC的婴儿,建议使用单独的百分位数.
- 为临床和研究用途提供了一个免费可用的GMOS-R分数表,其中包含这些百分位数等级.
相关概念视频
Percentile
6.7K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
6.7K
Review and Preview
7.3K
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...
Percentiles are a type of fractile that partition data into...
7.3K
Wilcoxon Signed-Ranks Test for Median of Single Population
122
The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
122
Friedman Two-way Analysis of Variance by Ranks
189
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
189
z Scores and Unusual Values
9.7K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
9.7K
Measures of Central Tendency
16.0K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
16.0K


