种族和民族作为OASIs风险因素的关联:系统性审查
Tsung Mou1, Sebastian Ramos2, Evelyn Hall1
1Department of Obstetrics and Gynecology, Division of Urogynecology and Reconstructive Pelvic Surgery.
Urogynecology (Philadelphia, Pa.)
|January 27, 2026
概括
亚裔美国人和太平洋岛民面临更高的产科关节损伤 (OASIs) 的几率. 研究往往忽略了系统因素,并不足以代表少数群体,阻碍了解决孕产妇健康差异的努力.
科学领域:
- 产科和妇科 产科和妇科
- 孕产妇健康 孕产妇健康
- 健康差距 研究 研究 研究 研究
背景情况:
- 产科关节损伤 (OASIs) 是对母亲健康的一个重大问题.
- 了解种族和种族如何影响OASI风险对于解决健康差异至关重要.
研究的目的:
- 系统地审查和元分析种族/种族和OASI发病率之间的关联.
- 批评在OASI研究中将种族/种族作为风险因素的背景化.
主要方法:
- 对报告OASI发病率的观察性研究进行系统审查,按种族和民族划分.
- 使用随机效应模型来计算赔率比率 (OR) 的元分析.
- 对种族代表性进行代表率 (RQ) 分析和对批评的公平标题.
主要成果:
- 与白人相比,亚裔美国人和太平洋岛民 (AAPI) 个体的OASI发病率最高 (5.69%) 和概率高出61%.
- 美国原住民,黑人和西班牙裔个人在审查的研究中代表性不足 (RQ分别为0,0.15,0.20).
- 大多数研究未能对AAPI数据进行分类,解决系统因素 (33%),或不适当地建议生物差异 (22%).
结论:
- AAPI个体经历的OASIs的几率明显更高.
- 现有的研究往往汇总数据,代表人群不足,并忽略了导致OASI发病率种族差异的关键系统级因素.
- 需要改进的方法来准确评估和解决OASI的种族差异.
相关概念视频
Factors Affecting the Risk of Infection
13.4K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.4K
Ethnic Identity within a Larger Culture
243
Adolescents from ethnic minority backgrounds face a multifaceted journey in forming their identities, shaped by the intersections of cultural expectations and personal exploration. For these adolescents, identity formation involves not only typical developmental challenges but also navigating the perceptions and attitudes of the majority culture. As they grow, adolescents in ethnic minority groups often become increasingly aware of stereotypes, social biases, and discrimination, all of which...
243
Review and Preview
8.4K
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...
8.4K
Review and Preview
11.1K
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...
11.1K
RACE - Rapid Amplification of cDNA Ends
7.2K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
7.2K
Random and Systematic Errors
14.8K
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...
14.8K


