Related Experiment Video
Updated: May 8, 2026
10:08
Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans
Published on: May 18, 2022
Healthy life expectancy changes in Thailand, 2002-2007.
Rukchanok Karcharnubarn1, Philip Rees, Myles Gould
1College of Population Studies, Chulalongkorn University, Visid Prachuabmoh Building, Bangkok 10330, Thailand.
Health & Place
|September 4, 2013
Summary
Thailand
Area of Science:
- Gerontology and Public Health
- Health Economics and Policy
Background:
- Thailand's population is aging, necessitating an understanding of healthy longevity.
- Assessing health status alongside life expectancy is crucial for effective public health planning.
Purpose of the Study:
- To investigate the relationship between increasing longevity and health status in Thailand.
- To estimate changes in healthy life expectancies (HLE) among older adults.
- To compare findings with Global Burden of Disease (GBD) estimates.
Main Methods:
- Utilized data from Thailand's 2002 and 2007 national surveys of the elderly.
- Estimated healthy life expectancies (HLE) at older ages using various health indicators.
- Compared results with Global Burden of Disease (GBD) 1990 and 2010 data.
Main Results:
- Healthy life expectancy changes varied by health indicator, gender, and age.
- Self-reported health and self-care disability indicated an expansion of morbidity.
- Mobility disability changes suggested morbidity compression, potentially influenced by survey wording.
Conclusions:
- Findings suggest caution when interpreting GBD results for Thailand, especially post-2000.
- The introduction of universal healthcare in Thailand may impact morbidity and longevity trends.
- Further research is needed to clarify the complex interplay between healthcare policy, longevity, and health status.
Related Concept Videos
01:22Life Tables
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
01:22Applications 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...
01:29Therapeutic Drug Monitoring: Affecting Factors
Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
01:29Life Histories
Overview
01:20Actuarial Approach
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
01:18Models of Health Promotion and Illness Prevention II
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
The agent-host-environment model states that disease results from...