ArticleAmerican journal of perinatology2023
Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth.
Article in American journal of perinatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Reproductive outcomes of pregnancy after breast cancer: an updated systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Post-traumatic stress disorder and adverse pregnancy and birth outcomes: a population-based study.European journal of psychotraumatology · 2026Article
- Breaking the Cycle of Preterm Birth: A Prospective Cohort Study on Maternal Stress and Recurrent Preterm Birth.BJOG : an international journal of obstetrics and gynaecology · 2026Article
- Association of pregnancy complications and postpartum maternal leukocyte telomeres in two diverse cohorts: a nested case-control study.BMC pregnancy and childbirth · 2024Article
- Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model.BMC pregnancy and childbirth · 2024Article
- Computational Approaches for Predicting Preterm Birth and Newborn Outcomes.Clinics in perinatology · 2024Review
- Computational Approaches for Connecting Maternal Stress to Preterm Birth.Clinics in perinatology · 2024Review
- Evaluating the effect of a virtual reality digital therapeutic on maternal stress among expectant and postpartum Black and Latina mothers: a protocol paper.Frontiers in psychiatry · 2024Article
- Validation of the Assessment of Parent and Child Adversity (APCA) in Mothers and Young Children.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2023Article
- Pregnancy anxiety, placental corticotropin-releasing hormone and length of gestation.Biological psychology · 2022Article
- Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress.BMC pregnancy and childbirth · 2022Article
- Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.Frontiers in pediatrics · 2022Article
- Blood-based predictive biomarkers for preterm birth: Redefining risk stratification in modern perinatal care.Tzu chi medical journalReview
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThe 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
designThis 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.
resultsHigher levels of deleterious factors were associated with
conclusionThese 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.