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Related Concept Videos

Dimensions of Health and Illness01:21

Dimensions of Health and Illness

The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
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.
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Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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...

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Environments for Healthy Living (EFHL) Griffith birth cohort study: background and methods.

Cate M Cameron1, Paul A Scuffham, Anneliese Spinks

  • 1School of Medicine, Griffith University, Logan Campus, L03 2.45, University Drive, Meadowbrook, QLD 4131, Australia. cate.cameron@griffith.edu.au

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Summary

This study examines multi-level health determinants in an Australian birth cohort. Findings will inform public health policies for disadvantaged populations by detailing factors from genetics to environment.

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Area of Science:

  • Public Health
  • Epidemiology
  • Genetics

Background:

  • Individual health is shaped by genetic, social, and environmental factors.
  • Effective public health strategies require understanding multi-level influences, especially early in life.
  • Robust longitudinal studies are needed to assess these determinants.

Purpose of the Study:

  • Describe the background and methods of the Environments for Healthy Living (EFHL) study.
  • To investigate the relative contribution of multi-level determinants of health.
  • Inform social policy and interventions for healthy behaviors.

Main Methods:

  • Prospective, multi-level, multi-year longitudinal birth cohort study (Environments for Healthy Living: The Griffith Study of Population Health).
  • Collects data from before birth to adulthood on genetic material, individual/familial factors, and environmental exposures.
  • Recruitment began in 2007 with a target of 4000 mother/infant dyads; data collected at birth, 12 months, 3, 5 years, and ongoing.

Main Results:

  • The study is designed to provide detailed evidence on multi-level health determinants.
  • Expected to reveal the relative importance of various factors influencing health outcomes.
  • Data collection spans genetic, familial, social, and environmental domains.

Conclusions:

  • The EFHL study will offer comprehensive insights into health determinants across the life course.
  • Findings will guide the development of targeted public health interventions.
  • Evidence generated will support policies promoting healthy choices in diverse populations.