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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...
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...
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...
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
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...

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Information technology for longitudinal birth cohorts.

David Carmichael1

  • 1Department of Social Medicine, University of Bristol, Bristol, UK. d.carmichael@bristol.ac.uk

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

Developing robust computer systems for longitudinal birth survey data management requires careful planning. Key success factors include user collaboration, defining operational parameters, and ensuring system flexibility for research needs.

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Area of Science:

  • Health Informatics
  • Biostatistics
  • Epidemiology

Background:

  • Longitudinal birth surveys generate complex datasets requiring specialized management.
  • Effective data management is crucial for study oversight and research facilitation.
  • Designing computer-based information systems for such surveys presents significant challenges.

Purpose of the Study:

  • To outline essential considerations for developing computer-based information systems for longitudinal birth surveys.
  • To emphasize the importance of planning and design in creating effective data management systems.
  • To identify key strategies for successful system development.

Main Methods:

  • User-centered design principles.
  • Defining system operational parameters.
  • Incorporating flexibility into system architecture.

Main Results:

  • Thorough planning and design are critical for system success.
  • User input is paramount in defining system requirements.
  • Flexibility enhances the system's long-term utility for research.

Conclusions:

  • Successful development of data management systems hinges on user engagement and adaptable design.
  • Strategic planning is essential to navigate the complexities of longitudinal birth survey data.
  • Flexible, user-informed systems best support both study management and research endeavors.