孕产妇年龄,均值和血红蛋白水平对新生儿出生体重的影响 - - 一项基于水果的流行研究
Indian journal of physiology and pharmacology
|December 5, 2024
概括
母亲年龄和血红蛋白水平显著影响新生儿出生体重. 虽然平价没有显著的影响,但初级母亲的出生体重较低的婴儿的风险略高.
科学领域:
- 产科和妇科 产科和妇科
- 新生儿健康 新生儿健康
- 公共卫生 公共卫生
背景情况:
- 低出生体重 (LBW) 对围产期和长期健康构成重大风险.
- 母亲因素是胎儿生长和新生儿体重的关键决定因素.
- 了解这些因素对于有针对性的干预至关重要.
研究的目的:
- 为了研究母亲的年龄,平价和血红蛋白水平与新生儿出生体重之间的关联.
- 在城市印度人口中确定低出生体重的危险因素.
主要方法:
- 一项以社区为基础的横截面研究在印度阿萨姆州古瓦哈蒂的一个城市贫民窟进行.
- 分析了年龄在18-37岁之间的378名孕妇 (200名初孕,178名多孕) 的数据.
- 测量了血红蛋白水平,统计分析包括奇平方测试和几率比率计算.
主要成果:
- 发现母亲的年龄 (p=.008) 和血红蛋白水平 (p=.005) 是与出生体重相关的重要因素.
- 孕产妇平价与出生体重没有显著关系 (p=.790).
- 与多胎母亲相比,Primipara母亲生下低出生体重婴儿的几率增加了1.15%.
结论:
- 孕产妇的年龄和血红蛋白水平是这一群体出生体重的关键决定因素.
- 虽然对等性在统计学上没有显著意义,但初等性可能会对低出生体重的风险略有增加.
- 公共卫生战略应考虑优化母亲的年龄和营养状况 (血红蛋白水平),以改善分娩结果.
相关概念视频
Testing a Claim about Mean: Known Population SD
2.7K
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
2.7K
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Two-Way ANOVA
2.6K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.6K
Rh Blood Group
1.3K
The Rhesus (Rh) antigen is crucial in determining blood groups and ensuring compatibility during blood transfusions.
1.3K


