Cohort profile: UK Millennium Cohort Study (MCS)

Roxanne Connelly1, Lucinda Platt2

  • 1Centre for Longitudinal Studies, Institute of Education, 20 Bedford Way, London, WC1H 0AL and London School of Economics, Houghton Street, London, WC2A 2AE R.Connelly@ioe.ac.uk.

Insights

The UK Millennium Cohort Study (MCS) tracks children born around 2000, collecting health, development, and socioeconomic data. This valuable resource aids research into health outcomes and inequalities.

Area of Science:

  • Social Epidemiology
  • Developmental Psychology
  • Public Health

Background:

  • The UK Millennium Cohort Study (MCS) is a nationally representative longitudinal study.
  • It follows children born at the turn of the 21st century, providing rich data on their lives.

Purpose of the Study:

  • To track child development, cognitive ability, and educational attainment.
  • To analyze health outcomes and social, economic, and demographic factors influencing them.
  • To investigate health inequalities across the UK population.

Main Methods:

  • Observational, multidisciplinary cohort study design.
  • Five data collection sweeps conducted from infancy to age 11 years, with a planned sweep at age 14.
  • Linkage of cohort data with administrative records, including health data.

Main Results:

  • The MCS has collected extensive data on health, development, education, and family characteristics.
  • The study provides a unique dataset for analyzing trends and disparities.
  • Linked administrative data enhance the depth of analysis for health outcomes.

Conclusions:

  • The MCS is a vital resource for understanding child development and health trajectories.
  • It offers significant potential for research into the determinants of health inequalities.
  • Freely available data facilitate broad access for bona fide researchers.

Related Concept Videos

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...
706
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...
11.7K
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...
11.5K
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.4K
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...
8.9K
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...
11.0K