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Becker M, Mayo JA, Phogat NK, et al. Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth. Am J Perinatol. 2021;doi: 10.1055/s-0041-1729162.
Becker, M., Mayo, J. A., Phogat, N. K., Quaintance, C. C., Laborde, A., King, L., Gotlib, I. H., Gaudilliere, B., Angst, M. S., Shaw, G. M., Stevenson, D. K., Aghaeepour, N., & Dhabhar, F. S. (2021). Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth. American journal of perinatology, . https://doi.org/10.1055/s-0041-1729162
Becker, Martin, et al. "Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth." American journal of perinatology vol. (2021). doi: https://doi.org/10.1055/s-0041-1729162
Becker M, Mayo JA, Phogat NK, Quaintance CC, Laborde A, King L, Gotlib IH, Gaudilliere B, Angst MS, Shaw GM, Stevenson DK, Aghaeepour N, Dhabhar FS. Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth. Am J Perinatol. 2021 May 20; doi: 10.1055/s-0041-1729162. Epub 2021 May 20. PMID: 34015838.
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Am J Perinatol. 2021 May 20; doi: 10.1055/s-0041-1729162. Epub 2021 May 20.

Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth.

American journal of perinatology

Martin Becker, Jonathan A Mayo, Nisha K Phogat, Cecele C Quaintance, Ana Laborde, Lucy King, Ian H Gotlib, Brice Gaudilliere, Martin S Angst, Gary M Shaw, David K Stevenson, Nima Aghaeepour, Firdaus S Dhabhar

Affiliations

  1. Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.
  2. Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
  3. Department of Psychiatry & Behavioral Sciences and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida.
  4. Department of Psychology, Stanford University, Stanford, California.
  5. Department of Microbiology & Immunology, Miller School of Medicine, Univ. of Miami, Miami, Florida.

PMID: 34015838 DOI: 10.1055/s-0041-1729162

Abstract

OBJECTIVES:  The aim of the study was to: (1) Identify (early in pregnancy) psychosocial and stress-related factors that predict risk of spontaneous preterm birth (PTB, gestational age <37 weeks); (2) Investigate whether "protective" factors (e.g., happiness/social support) decrease risk; (3) Use the Dhabhar Quick-Assessment Questionnaire for Stress and Psychosocial Factors™ (DQAQ-SPF™) to rapidly quantify harmful or protective factors that predict increased or decreased risk respectively, of PTB.

STUDY DESIGN:  This is a prospective cohort study. Relative risk (RR) analyses investigated association between individual factors and PTB. Machine learning-based interdependency analysis (IDPA) identified factor clusters, strength, and direction of association with PTB. A nonlinear model based on support vector machines was built for predicting PTB and identifying factors that most strongly predicted PTB.

RESULTS:  

CONCLUSION:  These findings represent an important step toward identifying key factors, which can be assessed rapidly before/after conception, to predict risk of PTB, and perhaps other adverse pregnancy outcomes. Quantifying these factors, before, or early in pregnancy, could identify women at risk of delivering preterm, pinpoint mechanisms/targets for intervention, and facilitate the development of interventions to prevent PTB.

KEY POINTS: · Newly designed questionnaire used for rapid quantification of stress and psychosocial factors early during pregnancy.. · Deleterious factors predict increased preterm birth (PTB) risk.. · Protective factors predict decreased PTB risk..

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Conflict of interest statement

F.S.D. reports grants from National Institutes of Health (CA107498) and The Office of Naval Research (N000141612096), outside the submitted work. The other authors declare no conflict of interest.

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