怀孕间隔与自闭症谱系障碍风险之间的关联:系统性审查和贝叶斯网络元分析
Ping Zhang1, Xiaoyan Wang1, Yufen Xu1
1Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
European journal of pediatrics
|December 12, 2023
概括
短时间或长时间的妊娠间隔 (IPI) 可能会增加自闭症谱系障碍 (ASD) 的风险. 适度的IPI,在36-60个月之间,对于生育和神经发育结果似乎是最佳的.
科学领域:
- 生殖健康 生殖健康
- 神经发育障碍 神经发育障碍
- 流行病学 流行病学
背景情况:
- 怀孕间隔 (IPI) 与自闭症谱系障碍 (ASD) 风险之间的关联是有争议的,因为研究结果不一致.
- 之前的研究对IPI对ASD风险的影响产生了相互矛盾的结果.
研究的目的:
- 系统地调查妊娠间隔和自闭症谱系障碍风险之间的关联.
- 通过对现有研究进行贝叶斯网络元分析来澄清这种关系.
主要方法:
- 在PubMed,Embase,Web of Science和Cochrane图书馆进行系统的文献搜索,直到2023年5月.
- 贝叶斯网络对8项涉及2,890,289名儿童 (24,865名患有自闭症) 的研究进行了元分析.
- 使用纽卡斯尔-太华尺度 (NOS) 进行包含研究的质量评估.
主要成果:
- 非常短的 (<24个月) 和非常长的 (>72个月) IPI 都与ASD风险增加有显著的关联.
- 一个U形曲线表明了这种关联,IPI在36至60个月之间观察到的风险最低.
- 确定的特定风险:IPI<6个月 (OR1.63),6-11个月 (OR1.50),12-23个月 (OR1.19) 和超过120个月 (OR1.57).
结论:
- 较短和较长的怀孕间隔可能会增加孩子患自闭症谱系障碍的风险.
- 适度的IPI,特别是36至60个月,与最佳的生育和神经发育结果有关.
- 这些发现强调了IPI在减轻ASD风险的生殖健康战略中的重要性.
关键词:
协会 协会 协会 协会 协会自闭症谱系障碍 自闭症谱系障碍贝叶斯网络元分析贝叶斯网络元分析IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI怀孕间的时间间隔.风险 风险 风险 风险 风险系统性审查 系统性审查
相关概念视频
01:19Autism Spectrum Disorder
100
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
100
01:30Attention-Deficit/Hyperactivity Disorder
68
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
68
01:29Psychological and Sociocultural Causes of Schizophrenia
91
Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
91
01:29Environmental Influences on Intelligence
297
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
297
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
01:35Pedigree Analysis
84.3K
Overview
84.3K