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Related Concept Videos

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...
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...
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...
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...
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...
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...

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Related Experiment Video

Updated: Jun 22, 2026

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo
12:17

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

Published on: August 2, 2017

Why carry out a longitudinal birth survey?

Jean Golding1, Richard Jones, Marie-Noël Bruné

  • 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

Preventable physical and mental ill health is widespread globally. Longitudinal birth cohort studies are crucial for identifying environmental risk factors and developing public health strategies against adverse influences.

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Area of Science:

  • Environmental Health
  • Public Health
  • Developmental Pediatrics

Background:

  • Despite technological advancements, widespread physical and mental ill health persists globally.
  • Globalization increases exposure to environmental stressors, climate change, and novel chemicals.
  • Prenatal and childhood environmental exposures significantly impact long-term health across generations.

Purpose of the Study:

  • To highlight the importance of longitudinal studies in understanding health and developmental issues.
  • To leverage birth cohort studies for identifying preventative strategies.
  • To protect public health from adverse environmental factors.

Main Methods:

  • Utilizing longitudinal study designs.
  • Focusing on birth cohort studies.
  • Analyzing environmental risk factors during pregnancy and childhood.

Main Results:

  • Longitudinal data reveals critical links between early-life exposures and later health outcomes.
  • Birth cohort studies effectively identify underlying mechanisms of health and developmental problems.
  • Evidence supports the role of environmental factors in intergenerational health.

Conclusions:

  • Longitudinal and birth cohort studies are essential for public health research.
  • Identifying environmental risks early can inform preventative health strategies.
  • Proactive measures are needed to mitigate adverse environmental influences on population health.