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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...
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

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,...
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...
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.

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Related Experiment Video

Updated: Jul 7, 2026

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

Digital exclusion, functional limitations transitions, and life expectancy: a multinational longitudinal study.

Qian Liu1,2, Fan Yang1,2

  • 1School of Public Health, Fudan University, 130 Dong-An Road, Shanghai, 200032, China.

SSM - Population Health
|July 6, 2026
PubMed
Summary

Digital exclusion significantly worsens functional limitations and reduces life expectancy globally. These impacts are most pronounced in younger adults, highlighting the need for digital inclusion in aging policies.

Keywords:
Digital exclusionFunctional limitationsHealthy agingLife expectancyMulti-state Markov model

Related Experiment Videos

Last Updated: Jul 7, 2026

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

Area of Science:

  • Gerontology
  • Public Health
  • Sociology

Background:

  • Digital exclusion, defined as lack of access to or skills for using digital technologies, is a growing concern for aging populations.
  • Understanding its impact on health and longevity is crucial for developing effective public health interventions.

Purpose of the Study:

  • To examine the associations between digital exclusion and transitions in functional limitations among older adults.
  • To quantify the impact of digital exclusion on life expectancy across diverse international settings.

Main Methods:

  • Analysis of 124,332 adults aged ≥50 years from five harmonized longitudinal aging cohorts across 23 countries.
  • Utilized continuous-time multi-state Markov models to assess transition patterns between functional states (independence, mild, severe limitations).
  • Calculated life expectancy, including functional life expectancy, using numerical integration of model parameters.

Main Results:

  • Digital exclusion was significantly associated with adverse transitions to mild and severe functional limitations.
  • Recovery from severe limitations was impaired in several countries, including England, the United States, and Europe.
  • Digital exclusion reduced functional life expectancy by 3.72 to 14.27 years and total life expectancy, with the largest reductions observed at younger ages.

Conclusions:

  • Digital exclusion is linked to increased functional limitations and decreased life expectancy in older adults.
  • The impact of digital exclusion varies by country and is most significant among younger age groups.
  • Integrating digital inclusion strategies into healthy aging policies is essential, alongside maintaining accessible non-digital healthcare options.