Effect of maternal hypertensive disorders during pregnancy on offspring's early childhood body weight: A population-based cohort study

Huang, Yuan-Der; Luo, Yun-Ru; Lee, Meng-Chih; Yeh, Chih‐Jung

doi:10.1016/j.tjog.2022.01.003

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…First, there was a correlation between more significant pro-inflammatory M1/M2 phenotypic skew and adversity during sensitive periods (but not overall life adversity). Second, it has been proven that sepsis in adults and children is related to diminished expression of an immunosuppressive, endotoxin-tolerant phenotype across the lifespan [24][25][26]. Furthermore, this connection remained substantial even after accounting for exposure during a sensitive period.…”

Section: Early Childhood Pregnancymentioning

confidence: 99%

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

Shahbazi

Byun

2023

Biology

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Pregnancy and early childhood are two vulnerable times when immunological plasticity is at its peak and exposure to stress may substantially raise health risks. However, to separate the effects of adversity during vulnerable times of the lifetime from those across the entire lifespan, we require deeper phenotyping. Stress is one of the challenges which everyone can face with this issue. It is a type of feeling which contains mental pressure and comes from daily life matters. There are many research and investments regarding this problem to overcome or control this complication. Pregnancy is a susceptible period for the child and the mother taking stress can affect the child’s health after birth. The following matter can happen based on natural disasters, war, death or separation of parents, etc. Early Life Stress (ELS) has a connection with psychological development and metabolic and cardiovascular diseases. In the following research, the main focus is on Early Life Stress control during pregnancy of a healthy group of women that are at risk of future disease during their pregnancy. This study looked at the relationship between retrospective recollections of childhood or pregnancy hardship and inflammatory imbalance in a group of 53 low-income, ethnically diverse women who were seeking family-based trauma treatment after experiencing interpersonal violence. Machine learning Convolutional Neural Networks (CNNs) are applied for stress detection using short-term physiological signals in terms of non-linear and for a short term. The focus concepts are heart rate, and hand and foot galvanic skin response.

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Section: Early Childhood Pregnancymentioning

confidence: 99%

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

Shahbazi

Byun

2023

Biology

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“…For example, prepregnancy obesity increases risk for child metabolic syndrome or obesity at 4 and 11 y [ 11 , 12 ]. Gestational weight gain (GWG) above the recommended guidelines also increases risk of childhood obesity and overweight, even among individuals with a healthy prepregnancy BMI value [ [13] , [14] , [15] ]. A proposed mechanism for this increased risk is developmental plasticity or fetal programming where the intrauterine environment affects health outcomes during life [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Postpartum Obesity Is Associated With Increases in Child Adiposity in Midchildhood in a Cohort of Black and Dominican Youth

Foster,

Rundle,

Tsai

et al. 2024

Current Developments in Nutrition

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Effect of maternal hypertensive disorders during pregnancy on offspring's early childhood body weight: A population-based cohort study

Cited by 2 publications

References 36 publications

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

Postpartum Obesity Is Associated With Increases in Child Adiposity in Midchildhood in a Cohort of Black and Dominican Youth

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