Search research articles

Search research articles

Related Experiment Video

Updated: May 23, 2026

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

Can shoulder dystocia be reliably predicted?

Jodie M Dodd¹, Britt Catcheside, Wendy Scheil

¹Discipline of Obstetrics and Gynaecology, Robinson Institute, The University of Adelaide, 72 King William Road, North Adelaide, SA 5006, Australia. jodie.dodd@adelaide.edu.au

The Australian & New Zealand Journal of Obstetrics & Gynaecology

|March 21, 2012

Summary

Shoulder dystocia rates increased from 2005 to 2010. While labor induction and high infant birth weight predict shoulder dystocia, risk factors alone poorly predict its occurrence.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Mental health and body mass index in early pregnancy: a secondary analysis of three randomised controlled trials.

BMC pregnancy and childbirth·2025

Same author

Pre-conception lifestyle intervention to optimise maternal health for a better start to life: the BEGIN BETTER prospective randomised controlled trial protocol.

BMJ open·2025

Same author

Antenatal Physical Activity Interventions and Pregnancy Outcomes: A Systematic Review and Meta-Analysis With a Focus on Trial Quality.

BJOG : an international journal of obstetrics and gynaecology·2025

Same author

50 years of comprehensive state-wide data on pregnancy termination in South Australia: a retrospective, population-based, cohort study.

The Lancet. Public health·2024

Same author

Investigating discrepancies in findings between rigorous randomized trials and meta-analyses evaluating pregnancy interventions to limit gestational weight gain.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2024

Same author

Regular weighing of pregnant women: a relic from a bygone era.

Obesity (Silver Spring, Md.)·2024

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Area of Science:

Obstetrics and Gynecology
Perinatal Epidemiology
Maternal-Fetal Medicine

Background:

Shoulder dystocia is a significant obstetric complication.
Identifying predictive factors for shoulder dystocia is crucial for improving perinatal outcomes.

Purpose of the Study:

To evaluate known risk factors for shoulder dystocia.
To assess the predictive value of these factors at a population level.

Main Methods:

Utilized population data from South Australia (2005-2010).
Analyzed risk factors: maternal age, parity, ethnicity, diabetes, and infant birth weight.
Calculated odds ratios and logistic regression models to determine predictive value.

Main Results:

More Related Videos

External Cephalic Version: Is it an Effective and Safe Procedure?

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

Related Experiment Videos

Last Updated: May 23, 2026

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

External Cephalic Version: Is it an Effective and Safe Procedure?

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

Shoulder dystocia rates increased significantly from 0.95% to 1.38% between 2005 and 2010.
Induction of labor and infant birth weight (>4000g or >4500g) were significant independent predictors.
Risk factors showed poor predictive value, both individually and in models.

Conclusions:

Several factors are associated with increased shoulder dystocia risk.
No single factor or combination reliably predicts shoulder dystocia with sufficient clinical accuracy.