随机对照试验,研究鱼油补充剂对怀孕持续时间的影响
S F Olsen1, J D Sørensen, N J Secher
1Institute of Epidemiology and Social Medicine, University of Aarhus, Denmark.
Lancet (London, England)
|April 25, 1992
概括
在怀孕的第三个三个月中补充鱼油可能会延长妊娠时间. 这项研究发现,鱼油中的n-3脂肪酸可以延长怀孕,而不会对胎儿生长或分娩产生不良影响.
科学领域:
- 产科和妇科 产科和妇科
- 营养科学 营养科学
- 围产儿医学 围产儿医学
背景情况:
- 在法罗群岛观察到的高出生体重和长期怀孕表明,来自海洋脂肪的n-3脂肪酸发挥了作用.
- n-3脂肪酸可能会影响前列腺素的产生,影响分娩时间.
研究的目的:
- 研究鱼油补充剂对怀孕时间,出生体重和出生长度的影响.
- 在健康的孕妇中比较鱼油,橄油和没有补充剂.
主要方法:
- 随机对照试验涉及533名30周怀孕的健康丹麦妇女.
- 参与者被分配接受鱼油 (n-3脂肪酸),橄油或没有补充剂.
- 孕期长度,出生体重和出生长度是主要的结果指标.
主要成果:
- 平均怀孕时间在各组之间有显著差异 (p = 0.006),在鱼油组中最长.
- 鱼油补充剂导致怀孕比橄油组长4.0天,出生体重差异为107克.
- 鱼油对孕期长度的影响在基线鱼类摄入量较低的女性中更为明显.
结论:
- 第三个三个月的鱼油补充剂似乎可以延长怀孕.
- 这种延长并没有对胎儿生长或分娩过程产生不利影响.
- 摄入的n-3脂肪酸可能是调节妊娠持续时间的一个因素.
更多相关视频
06:00Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
Published on: March 17, 2023
05:13Preclinical Model of Prenatal Delta-9-Tetrahydrocannabinol Exposure to Assess Its Impact on Neurodevelopmental Outcomes
Published on: February 28, 2025
相关概念视频
Testing a Claim about Mean: Known Population SD
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...
Toxicity Testing in Animals
Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
