Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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,...
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:
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Introspection01:29

Introspection

Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sex Differences in Variability in General Intelligence: A New Look at the Old Question.

Perspectives on psychological science : a journal of the Association for Psychological Science·2015
Same author

Directional dominance on stature and cognition in diverse human populations.

Nature·2015
Same author

Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations.

American journal of human genetics·2015
Same author

A comparison of location of acute symptomatic vs. 'silent' small vessel lesions.

International journal of stroke : official journal of the International Stroke Society·2015
Same author

Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.

Blood·2015
Same author

Coupled changes in brain white matter microstructure and fluid intelligence in later life.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2015
Same journal

Nature-based Virtual Reality for Depression in Alzheimer's Disease: Protocol of a Pilot Randomized Controlled Trial.

Gerontology·2026
Same journal

A Pilot Study of a Multicomponent Interventions in Acute Geriatric Care: Effects on Functional Outcomes and Mobility.

Gerontology·2026
Same journal

Geriatrics co-management of the vulnerable older surgical patient.

Gerontology·2026
Same journal

Title: Same Day Discharge in Primary Total Joint Arthroplasty in Octogenarians: A Case Series and Narrative Review of Optimization Strategies and Perioperative Outcomes.

Gerontology·2026
Same journal

Emotional Reactivity to Daily Physical Symptoms in Adulthood and Old Age: The Role of Different Facets of Social Support.

Gerontology·2026
Same journal

Sex Differences in the Development of a Multidimensional Fall Risk Index for Older Adults.

Gerontology·2026
See all related articles

Related Experiment Video

Updated: May 19, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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

Published on: July 27, 2018

Looking for 'system integrity' in cognitive epidemiology.

Ian J Deary1

  • 1Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK. i.deary@ed.ac.uk

Gerontology
|August 22, 2012
PubMed
Summary
This summary is machine-generated.

Higher cognitive ability in youth is linked to better health outcomes later in life. This study critically examines "system integrity" as a potential explanation for this cognitive epidemiology finding.

More Related Videos

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
05:03

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Published on: December 15, 2023

Related Experiment Videos

Last Updated: May 19, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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

Published on: July 27, 2018

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
05:03

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Published on: December 15, 2023

Area of Science:

  • Cognitive epidemiology
  • Biomedical research
  • Psychometrics

Background:

  • Growing evidence links youth cognitive ability to reduced mortality and morbidity.
  • The underlying causes for this association remain largely unknown.
  • Cognitive epidemiology is the field studying these health-cognition links.

Purpose of the Study:

  • To critically assess the concept of "system integrity" as a potential explanation for cognitive epidemiology findings.
  • To evaluate if cognitive ability reflects general bodily system efficiency.
  • To analyze the theoretical and empirical status of system integrity.

Main Methods:

  • Critical review and theoretical evaluation of the system integrity construct.
  • Examination of existing empirical evidence related to system integrity in cognitive epidemiology.
  • Exploration of alternative methods for testing system integrity.

Main Results:

  • A historical precedent for the system integrity hypothesis was identified.
  • Current empirical tests of system integrity within cognitive epidemiology were critically evaluated.
  • New avenues for empirically testing system integrity were proposed.

Conclusions:

  • The construct of system integrity is conceptually distinct from related ideas.
  • System integrity is theoretically underdeveloped and empirically under-tested in cognitive epidemiology.
  • Further research is needed to validate system integrity's role in cognitive epidemiology.