Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Observational Studies01:11

Observational Studies

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 example of...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Regression Toward the Mean01:52

Regression Toward the Mean

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 researchers try to extrapolate results...
Longitudinal Research02:20

Longitudinal Research

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...
Data Collection by Observations01:08

Data Collection by Observations

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...

You might also read

Related Articles

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

Sort by
Same author

Lead and mercury exposure in pregnant women in the UK: a cross-sectional observational study (the PEAR Study).

BMJ open·2026
Same author

Details of exposure during childhood of the original children (G1s) in the ALSPAC study to aspects of religious faith and spirituality.

Wellcome open research·2026
Same author

Sexual experiences, attitudes, enjoyment and regret in the parent and offspring generations of the Avon Longitudinal Study of Parents and Childhood (ALSPAC): 2022 data sweep.

Wellcome open research·2026
Same author

Prenatal lead exposure: associations with growth and anthropometry in early childhood in a UK observational birth cohort study.

Wellcome open research·2026
Same author

Associations between religiosity and climate change beliefs and behaviours in the Avon Longitudinal Study of Parents and Children (ALSPAC).

PLOS climate·2025
Same author

Measuring religiosity in longitudinal secondary datasets: Comparison of single-item measures with validated scales in a UK cohort study (ALSPAC).

Wellcome open research·2025
Same journal

Neonatal Adverse Outcomes in Métis Children in Alberta, Canada: A Retrospective Cohort Study.

Paediatric and perinatal epidemiology·2026
Same journal

Race, Place and Preterm Birth.

Paediatric and perinatal epidemiology·2026
Same journal

An Epidemiologic First Principles Approach to Assessing Changes in the Frequency of Early Term Birth.

Paediatric and perinatal epidemiology·2026
Same journal

Lower Risk of Developing Gestational Diabetes Mellitus in the Group Prenatal Care Model.

Paediatric and perinatal epidemiology·2026
Same journal

When More Is Not Better: A Balanced View of Haemoglobin Concentrations During Pregnancy.

Paediatric and perinatal epidemiology·2026
Same journal

Maternal Haemoglobin and Stillbirth Risk: Implications for Policy and Practice.

Paediatric and perinatal epidemiology·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Neurodevelopmental Reflex Testing in Neonatal Rat Pups
09:35

Neurodevelopmental Reflex Testing in Neonatal Rat Pups

Published on: April 24, 2017

Nesting sub-studies and randomised controlled trials within birth cohort studies.

Jean Golding1

  • 1Centre for Child and Adolescent Health, Department of Community Based Medicine, University of Bristol, Bristol, UK. jean.golding@bristol.ac.uk

Paediatric and Perinatal Epidemiology
|June 4, 2009
PubMed
Summary
This summary is machine-generated.

Sub-studies enhance birth cohort research by exploring mechanisms, validating data, and employing nested case-control designs or randomized controlled trials for deeper insights.

More Related Videos

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Related Experiment Videos

Last Updated: Jun 22, 2026

Neurodevelopmental Reflex Testing in Neonatal Rat Pups
09:35

Neurodevelopmental Reflex Testing in Neonatal Rat Pups

Published on: April 24, 2017

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Area of Science:

  • Epidemiology
  • Longitudinal Studies

Background:

  • Birth cohort studies provide valuable data on developmental trajectories.
  • Integrating sub-studies can significantly enrich the findings of primary cohort research.

Purpose of the Study:

  • To categorize and illustrate the value of sub-studies within birth cohort research.
  • To provide examples of sub-study applications in pregnancy and birth cohorts.

Main Methods:

  • Categorization of sub-studies into four main types: detailed subgroup observation, nested case-control, data validation, and randomized controlled trials.
  • Review of current pregnancy birth cohort studies to exemplify sub-study integration.

Main Results:

  • Sub-studies offer diverse methodologies to deepen understanding of cohort data.
  • Examples demonstrate the practical application of these sub-studies in real-world research.

Conclusions:

  • Sub-studies are crucial for enhancing the depth and breadth of birth cohort research.
  • The strategic implementation of sub-studies maximizes the scientific yield of cohort data.