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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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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...
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Longitudinal Studies01:26

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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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Cross-Sectional Research01:50

Cross-Sectional Research

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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...
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Regression Toward the Mean01:52

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Related Experiment Video

Updated: Aug 5, 2025

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
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Establishing cognitive baseline in three generations: Framingham Heart Study.

Jin Yang1, Ting Fang Alvin Ang2,3, Sophia Lu4

  • 1Department for Endemic Disease Control and Prevention Henan Provincial Center for Disease Control and Prevention Zhengzhou China.

Alzheimer'S & Dementia (Amsterdam, Netherlands)
|March 27, 2023
PubMed
Summary
This summary is machine-generated.

Cognitive performance has improved across generations, necessitating updated norms for dementia risk assessment. Better scores in later generations correlate with reduced dementia risk, highlighting the need for cohort-specific evaluations.

Keywords:
Alzheimer's diseasecognitive functiondementianeuropsychological testnorms

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Area of Science:

  • Neuroscience
  • Gerontology
  • Epidemiology

Background:

  • Generational shifts impact cognitive abilities.
  • Existing cognitive measures may not accurately reflect current population norms.
  • Detecting dementia risk requires generation-specific benchmarks.

Purpose of the Study:

  • To compare neuropsychological test performance across three generations in the Framingham Heart Study (FHS).
  • To investigate the association between cognitive performance and dementia risk within each generation.
  • To determine if cohort-based norms are necessary for accurate cognitive assessment.

Main Methods:

  • Linear regressions were used to compare eight neuropsychological tests across three FHS cohorts.
  • Cox regressions analyzed the relationship between neuropsychological tests and generation-specific dementia risk.
  • Data from 4787 participants in the Framingham Heart Study were analyzed.

Main Results:

  • The second and third generations outperformed the first generation on seven out of eight neuropsychological tests.
  • Improved cognitive performance (1 SD) in the second generation was linked to a greater reduction in dementia risk (35%) compared to the first generation (24%).
  • Performance on six of the eight tests was similar between the second and third generations.

Conclusions:

  • Cognitive assessment norms need recalibration based on generational cohorts.
  • Cohort-specific cognitive norms are essential for accurate diagnosis of cognitive impairment and dementia.
  • Findings underscore the importance of considering generational differences in dementia risk evaluation.