The effect of maternal smoking during pregnancy on Doppler parameters

Janbakhisov, Turab; Özay, Özlen Emekçi; Çağlıyan, Erkan; Özay, Ali Cenk; Acet, Ferruh; Altunyurt, Sabahattin

doi:10.2399/prn.13.0213004

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Relatedly, prenatal smoking has been linked to suboptimal utero-placental oxygen and blood flow and is considered as one of the major risk factors for a wide array of gestational complications, including PTB and LBW (67). Aside from being the most influential risk node, we found that prenatal smoking was directly linked to LBW.…”

Section: Discussionmentioning

confidence: 65%

“…According to the 2017 Global Burden of Diseases, Injuries, and Risk Factors Study , smoking was among the top risk factors for burdens of disease and mortality among women (66). Relatedly, prenatal smoking has been linked to suboptimal utero-placental oxygen and blood flow and is considered as one of the major risk factors for a wide array of gestational complications, including PTB and LBW (67). Aside from being the most influential risk node, we found that prenatal smoking was directly linked to LBW.…”

Section: Discussionmentioning

confidence: 99%

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Using network analysis to illuminate the intergenerational transmission of adversity in the ALSPAC cohort

Hemady

Speyer

Kwok

et al. 2021

Preprint

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Objective: The effects of maternal exposure to adverse childhood experiences (ACEs) may be transmitted to subsequent generations through various biopsychosocial mechanisms. However, studies tend to focus on exploring one or two focal pathways with less attention paid to links between different pathways. Using a network approach, this paper explores a range of core prenatal risk factors that may link maternal ACEs to infant preterm birth (PTB) and low birthweight (LBW). Methods: We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 8 379) to estimate two mixed graphical network models: Model 1 was constructed using adverse infant outcomes, biopsychosocial and environmental risk factors, forms of ACEs, and sociodemographic factors. In Model 2, ACEs were combined to represent a threshold ACEs score (≥ 4). Network indices were estimated to determine the shortest pathway from ACEs to infant outcomes, and to identify the risk factors that are most vital in bridging these variables. Results: In both models, childhood and prenatal risk factors were highly interrelated. Childhood physical abuse, but not threshold ACEs, was directly linked to LBW. Further, exposure to second-hand smoke, developing gestational hypertension, prenatal smoking, first time pregnancy, not being White, and older age were directly linked to LBW, while developing gestational diabetes, having previous pregnanc(ies), and lower educational attainment were associated with PTB. Only pre-eclampsia was directly linked to both outcomes. Network indices and shortest pathways plots indicate that sexual abuse played a central role in bridging ACEs to other risks and poor infant outcomes. Overall, prenatal smoking was determined as the most influential bridge node. Conclusions: As child physical abuse was directly linked to low birthweight, and child sexual abuse and prenatal smoking were the most influential bridge nodes, they can be considered priority candidate targets for interventions to disrupt intergenerational risk transmission. Further, our study demonstrates the promise of network analysis as an approach for illuminating the intergenerational transmission of adversity in its full complexity.

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Section: Discussionmentioning

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Using network analysis to illuminate the intergenerational transmission of adversity in the ALSPAC cohort

Hemady

Speyer

Kwok

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Along with PTB and LBW, the 2017 Global Burden of Diseases, Injuries, and Risk Factors Study identified smoking as one of the top risk factors for burdens of disease and mortality among women (Stanaway et al, 2018 ). Relatedly, prenatal smoking has been linked to suboptimal utero-placental oxygen and blood flow and is considered as one of the major risk factors for a wide array of gestational complications, including PTB and LBW (Janbakhisov, Emekçi, Ça, & Altunyurt, 2013 ). Aside from being the most influential risk node, we found that prenatal smoking was associated with LBW.…”

Section: Discussionmentioning

confidence: 99%

Using network analysis to illuminate the intergenerational transmission of adversity

Hemady

Speyer

Kwok

et al. 2022

European Journal of Psychotraumatology

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Objective: The effects of maternal exposure to adverse childhood experiences (ACEs) may be transmitted to subsequent generations through various biopsychosocial mechanisms. However, studies tend to focus on exploring one or two focal pathways with less attention paid to links between different pathways. Using a network approach, this paper explores a range of core prenatal risk factors that may link maternal ACEs to infant preterm birth (PTB) and low birthweight (LBW). Methods: We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC) ( n = 8379) to estimate two mixed graphical network models: Model 1 was constructed using adverse infant outcomes, biopsychosocial and environmental risk factors, forms of ACEs, and sociodemographic factors. In Model 2, ACEs were combined to represent a threshold ACEs score (≥4). Network indices (i.e., shortest path and bridge expected influence [1-step & 2-step]) were estimated to determine the shortest pathway from ACEs to infant outcomes, and to identify the risk factors that are vital in activating other risk factors and adverse outcomes. Results: Network analyses estimated a mutually reinforcing web of childhood and prenatal risk factors, with each risk connected to at least two other risks. Bridge influence indices suggested that childhood physical and sexual abuse and multiple ACEs were highly interconnected to others risks. Overall, risky health behaviours during pregnancy (i.e., smoking & illicit drug use) were identified as ‘active’ risk factors capable of affecting (directly and indirectly) other risk factors and contributing to the persistent activation of the global risk network. These risks may be considered priority candidate targets for interventions to disrupt intergenerational risk transmission. Our study demonstrates the promise of network analysis as an approach for illuminating the intergenerational transmission of adversity in its full complexity. HIGHLIGHTS We took a network approach to assessing links between ACEs and birth outcomes. ACEs, other prenatal risk factors, and birth outcomes had complex inter-connections Health behaviours in pregnancy were indicated as optimal intervention targets.

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The effect of maternal smoking during pregnancy on Doppler parameters

Cited by 2 publications

References 11 publications

Using network analysis to illuminate the intergenerational transmission of adversity in the ALSPAC cohort

Using network analysis to illuminate the intergenerational transmission of adversity in the ALSPAC cohort

Using network analysis to illuminate the intergenerational transmission of adversity

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