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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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...
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.
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

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Related Experiment Video

Updated: May 17, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

The Generation R Study: design and cohort update 2012.

Vincent W V Jaddoe1, Cornelia M van Duijn, Oscar H Franco

  • 1The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands. v.jaddoe@erasmusmc.nl

European Journal of Epidemiology
|October 23, 2012
PubMed
Summary

The Generation R Study tracks children from fetal life to adulthood, identifying environmental and genetic factors influencing growth and health. This research aims to improve health strategies for pregnant women and children.

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Area of Science:

  • Epidemiology
  • Developmental Biology
  • Public Health

Background:

  • Population-based prospective cohort study from fetal life to adulthood.
  • Focuses on identifying early environmental and genetic causes of health and development.

Purpose of the Study:

  • Investigate causal pathways for normal and abnormal growth, development, and health.
  • Contribute to strategies for optimizing maternal and child healthcare.

Main Methods:

  • Enrolled 9,778 mothers from 2002-2006 with high follow-up rates.
  • Collected data via questionnaires, physical/ultrasound exams, behavioral observations, and biological samples.
  • Utilized genome/epigenome-wide association screens and advanced imaging (MRI) from age 5.

Main Results:

  • High response and follow-up rates ensure robust data.
  • Comprehensive data collection covers diverse determinants of health.
  • Advanced analyses provide deep insights into developmental trajectories.

Conclusions:

  • The Generation R Study provides extensive data on developmental health.
  • Findings will inform evidence-based strategies for maternal and child health optimization.
  • Longitudinal data supports understanding of lifelong health determinants.