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Allostatic Load and Preterm Birth
David M Olson1, Emily M Severson2, Barbara S E Verstraeten3
1Departments of Obstetrics and Gynecology, Pediatrics and Physiology, University of Alberta, Edmonton, AB T6G 2S2, Canada. david.olson@ualberta.ca.
Insights
Chronic stress, known as allostatic load, is a significant risk factor for preterm birth. Understanding this link can help predict and prevent premature deliveries in at-risk pregnancies.
Area of Science:
- Reproductive Health
- Stress Physiology
- Perinatal Medicine
Background:
- Preterm birth is a major global health challenge with significant unmet medical needs.
- Current methods lack the ability to predict which women are at risk for preterm delivery or the timing of birth.
- Chronic stress, termed allostatic load, is increasingly recognized as a contributing factor to adverse pregnancy outcomes.
Purpose of the Study:
- To review the evidence linking chronic stress and allostatic load to preterm birth in animal and human studies.
- To explore the utility of allostatic load as a model for stress and preterm birth.
- To propose the development of a predictive model for assessing preterm birth risk in early pregnancy.
Main Methods:
- Literature review of animal and human studies on chronic stress and preterm birth.
- Exploration of the allostatic load framework for modeling stress-related pregnancy outcomes.
- Conceptualization of a predictive model for identifying high-risk pregnancies.
Main Results:
- Substantial evidence indicates chronic stress (allostatic load) is a risk factor for preterm delivery.
- Allostatic load provides a framework for understanding stress mechanisms in animal models of preterm birth.
- The concept of allostatic load can inform the development of predictive tools for preterm birth risk.
Conclusions:
- Chronic stress, measured by allostatic load, is a significant contributor to preterm birth.
- Allostatic load can be utilized to model stress-induced preterm birth and develop predictive risk assessments.
- Identifying high-risk pregnancies through allostatic load assessment can enable targeted interventions to mitigate preterm birth risk.
Abstract:
Preterm birth is a universal health problem that is one of the largest unmet medical needs contributing to the global burden of disease. Adding to its complexity is that there are no means to predict who is at risk when pregnancy begins or when women will actually deliver. Until these problems are addressed, there will be no interventions to reduce the risk because those who should be treated will not be known. Considerable evidence now exists that chronic life, generational or accumulated stress is a risk factor for preterm delivery in animal models and in women. This wear and tear on the body and mind is called allostatic load. This review explores the evidence that chronic stress contributes to preterm birth and other adverse pregnancy outcomes in animal and human studies. It explores how allostatic load can be used to, firstly, model stress and preterm birth in animal models and, secondly, how it can be used to develop a predictive model to assess relative risk among women in early pregnancy. Once care providers know who is in the highest risk group, interventions can be developed and applied to mitigate their risk.
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