Related Experiment Video
Updated: Mar 1, 2026

07:56
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
18.4K
A New Approach to Developing Birth Weight Reference Charts: A Retrospective Observational Study.
Farmey A Joseph1, Jon A Hyett, Kevin McGeechan
1Department of High Risk Obstetrics, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Fetal Diagnosis and Therapy
|June 5, 2017
Summary
Accurate birth weight charts for preterm infants can be created using data from spontaneous labor births only. This method excludes iatrogenic births, which are often linked to abnormal infant growth, improving reference chart reliability.
Area of Science:
- Perinatal Medicine
- Neonatal Research
- Maternal-Fetal Medicine
Background:
- Current birth weight reference charts exhibit bias in preterm gestations due to the inclusion of births associated with abnormal growth.
- Many preterm births are linked to underlying growth disturbances, impacting the accuracy of historical reference data.
Purpose of the Study:
- To develop more accurate birth weight reference charts by utilizing data exclusively from spontaneous onset of labor births.
- To assess the impact of excluding iatrogenic births on the construction of birth weight centile charts.
Main Methods:
- A single-center retrospective observational study included 115,712 singleton live births.
- Births were categorized as spontaneous or iatrogenic, with quantile regression modeling birth weight in relation to gestational age, sex, and labor onset.
- Birth weights from spontaneous and iatrogenic cohorts were compared by gestation and to existing ultrasound-based charts.
Main Results:
- Significant differences in birth weights were observed between spontaneous and iatrogenic births at the median and 10th centiles across gestations.
- Preterm infants born via iatrogenic delivery weighed less than their spontaneous preterm counterparts.
- Birth weight centiles derived from spontaneous births closely aligned with established ultrasound-based curves.
Conclusions:
- Iatrogenic births are frequently associated with pre-existing fetal growth disturbances, significantly influencing standard centile charts.
- Excluding iatrogenic births from reference chart creation provides a more accurate representation of normal fetal growth.
- Birth weight charts based solely on spontaneous births offer a potentially more reliable reference tool for clinical use.
More Related Videos
Related Concept Videos
Regression Toward the Mean
7.2K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.2K
z Scores and Area Under the Curve
19.8K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.8K
Bias in Epidemiological Studies
1.5K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.5K
Observational Studies
11.2K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.2K
Data Collection by Observations
15.4K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
15.4K
Longitudinal Research
13.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K

