Disease burden

Source: Wikipedia, the free encyclopedia.
"Global burden of disease" redirects here. For the research program that measures disease burden, see Global Burden of Disease Study.
Not to be confused with Environmental disease.
Burden of all infectious diseases, worldwide in 2004, measured in disability-adjusted life years
Burden of non-communicable diseases, worldwide in 2004, measured in disability-adjusted life years

Disease burden is the impact of a

occupational risk factors to human health.[8] These measures allow for comparison of disease burdens, and have also been used to forecast the possible impacts of health interventions. By 2014, DALYs per head were "40% higher in low-income and middle-income regions."[9]

The World Health Organization (WHO) has provided a set of detailed guidelines for measuring disease burden at the local or national level.[4] In 2004, the health issue leading to the highest YLD for both men and women was unipolar depression;[10] in 2010, it was lower back pain.[11] According to an article in The Lancet published in November 2014, disorders in those aged 60 years and older represent "23% of the total global burden of disease" and leading contributors to disease burden in this group in 2014 were "cardiovascular diseases (30.3%), malignant neoplasms (15.1%), chronic respiratory diseases (9.5%), musculoskeletal diseases (7.5%), and neurological and mental disorders (6.6%)."[9]: 549 

Statistics

The first study on the global burden of disease, conducted in 1990, quantified the health effects of more than 100 diseases and injuries for eight regions of the world, giving estimates of morbidity and mortality by age, sex, and region. It also introduced the DALY as a new metric to quantify the burden of diseases, injuries, and risk factors.[4][12][13] From 2000 to 2002, the 1990 study was updated to include a more extensive analysis using a framework known as comparative risk factor assessment.[12]

In 2004, the World Health Organization calculated that 1.5 billion disability-adjusted life years were lost to disease and injury.[14][15]

Disease category Percent of all YPLLs, worldwide[15] Percent of all DALYs, worldwide[14] Percent of all YPLLs, Europe[15] Percent of all DALYs, Europe[14] Percent of all YPLLs, US and Canada[15] Percent of all DALYs, US and Canada[14]
Infectious and parasitic diseases, especially
AIDS, tuberculosis, and malaria
 37% 26% 9% 6% 5% 3%
Neuropsychiatric conditions
, such as depression 		2% 13% 3% 19% 5% 28%
motor vehicle accidents
 14% 12% 18% 13% 18% 10%
heart attacks and stroke
 14% 10% 35% 23% 26% 14%
Premature birth and other perinatal deaths (infant mortality
) 		11% 8% 4% 2% 3% 2%
Cancer 8% 5% 19% 11% 25% 13%

Modifiable risk factors

In 2006, the WHO released a report which addressed the amount of global disease that could be prevented by reducing environmental risk factors.

infant death rate attributed to environmental causes is also 12 times higher in developing countries. 85 out of the 102 major diseases and injuries classified by WHO were due to environmental factors.[6]

To measure the environmental health impact, environment was defined as "all the physical, chemical and biological factors external to a person, and all the related behaviours".[16] The definition of modifiable environment included:

Certain environmental factors were excluded from this definition:

Methodology

The WHO developed a methodology to quantify the health of a population using summary measures, which combine information on mortality and non-fatal health outcomes. The measures quantify either health gaps or health expectancies; the most commonly used health summary measure is the DALY.[3][13][18]

The exposure-based approach, which measures exposure via

dose-response relationships
of the pollutants.

A dose-response relationship is a function of the exposure parameter assessed for the study population.

hospital admissions, and 13,500,000 days of restricted activity per year, for a total population of 4.7 million.[3]

In 2002, the WHO estimated the global environmental burden of disease by using risk assessment data to develop environmentally attributable fractions (EAFs) of mortality and morbidity for 85 categories of disease.[3][4][21] In 2007, they released the first country-by-country analysis of the impact environmental factors had on health for its then 192 member states. These country estimates were the first step to assist governments in carrying out preventive action. The country estimates were divided into three parts:

Environmental burden of disease for selected risk factors
This presents the yearly burden, expressed in deaths and DALYs, attributable to: indoor air pollution from solid fuel use; outdoor air pollution; and unsafe water, sanitation, and hygiene. Results are calculated using the exposure-based approach.
Total environmental burden of disease for the relevant country
The total number of deaths, DALYs per capita, and the percentage of the national burden of disease attributable to the environment represent the disease burden that could be avoided by modifying the environment as a whole.
Environmental burden by disease category
Each country summary was broken down by the disease group, where the annual number of DALYs per capita attributable to environmental factors were calculated for each group.[4]

Implementation and interpretation

The public health impacts of air pollution (annual means of PM10 and ozone), noise pollution, and radiation (radon and UV), can be quantified using DALYs. For each disease, a DALY is calculated as:

DALYs = number of people with the disease × duration of the disease (or loss of life expectancy in the case of mortality) × severity (varying from 0 for perfect health to 1 for death)

Necessary data include prevalence data, exposure-response relationships, and weighting factors that give an indication of the severity of a certain disorder. When information is missing or vague, experts will be consulted in order to decide which alternative data sources to use. An uncertainty analysis is carried out so as to analyze the effects of different assumptions.[20][22][23][24]

Uncertainty

When estimating the environmental burden of disease, a number of potential sources of error may arise in the measure of exposure and exposure-risk relationship, assumptions made in applying the exposure or exposure-risk relationship to the relevant country, health statistics, and, if used, expert opinions.

Generally, it is not possible to estimate a formal confidence interval, but it is possible to estimate a range of possible values the environmental disease burden may take based on different input parameters and assumptions.[3][4][6] When more than one definition has to be made about a certain element in the assessment, multiple analyses can be run, using different sets of definitions. Sensitivity and decision analyses can help determine which sources of uncertainty affect the final results the most.[6]

Examples

The Netherlands

In

dampness
in houses. The percentage can increase to up to 13% due to uncertainty, assuming no threshold.

Among the investigated factors, long-term PM10 exposure have the greatest impact on public health. As levels of PM10 decrease, related disease burden is also expected to decrease. Noise exposure and its associated disease burden is likely to increase to a level where the disease burden is similar to that of traffic accidents. The rough estimates do not provide a complete picture of the environmental health burden, because data are uncertain, not all environmental-health relationships are known, not all environmental factors have been included, and it was not possible to assess all potential health effects. The effects of a number of these assumptions were evaluated in an uncertainty analysis.[20]

Canada

Exposure to environmental hazards may cause

chronic diseases, so the magnitude of their contribution to Canada's total disease burden is not well understood. In order to give an initial estimate of the environmental burden of disease for four major categories of disease, the EAF developed by the WHO, EAFs developed by other researchers, and data from Canadian public health institutions were used.[25] Results showed a total of 10,000–25,000 deaths, with 78,000–194,000 hospitalizations; 600,000–1.5 million days spent in hospital; 1.1–1.8 million restricted activity days for individuals with asthma; 8000–24,000 new cases of cancer; 500–2,500 babies with low birth weights; and C$3.6–9.1 billion in costs each year due to respiratory disease, cardiovascular illness, cancer, and congenital conditions associated with adverse environmental exposures.[25]

Burden of disease attributable to lack of water, sanitation, hygiene

This section is an excerpt from WASH § WASH-attributable burden of diseases and injuries.[edit]

The

malnutrition, and soil-transmitted Helminthiasis (STHs).[26]: vi  These health outcomes are also included as an indicator for achieving Sustainable Development Goal 3
("Good Health and Well-being"): Indicator 3.9.2 reports on the "mortality rate attributed to unsafe water, sanitation, and lack of hygiene".

In 2023,

burden of disease
": over 1 million deaths and 55 million DALYs from diarrheal diseases were linked with lack of WASH. Of these deaths, 564,000 deaths were linked to unsafe sanitation in particular.

Acute respiratory infections were the second largest cause of WASH-attributable burden of disease in 2019, followed by malnutrition and soil-transmitted helminthiasis. The latter does not lead to such high death numbers (in comparison) but is fully connected to unsafe WASH; its "population-attributable fraction" is estimated to be 100%.[26]: vi 

The connection between lack of WASH and burden of disease is primarily one of poverty and poor access in developing countries: "the WASH-attributable mortality rates were 42, 30, 4.4 and 3.7 deaths per 100 000 population in low-income, lower-middle income, upper-middle income and high-income countries, respectively."[26]: vi  The regions most affected are in the WHO Africa and South-East Asia regions. Here, between 66% and 76% of the diarrheal disease burden could be prevented if access to safe WASH services was provided.[26]: vi 

Most of the diseases resulting from lack of sanitation have a direct relation to poverty. For example, open defecation – which is the most extreme form of "lack of sanitation" – is a major factor in causing various diseases, most notably diarrhea and intestinal worm infections.[27][28]

An earlier report by
waterborne diseases.[30] These changes in the estimates of death and disease can partly be explained by the progress that has been achieved in some countries in improving access to WASH. For example, several large Asian countries (China, India, Indonesia) have managed to increase the "safely managed sanitation services" in their country from the year 2015 to 2020 by more than 10% points.[26]
: 26 

Criticism

There is no consensus on the best measures of the public's health. This may be due to the fact that measurements are used to accomplish diverse functions, such as population health assessment, evaluation of the effectiveness of interventions, formulation of health policies, and projection of future resource needs. The choice of measures may also depend on individual and societal values. Measures that only consider premature death will omit the burden of living with a disease or disability, and measures that combine both in a single measure (i.e. DALYs) need to make a judgment to the significance of these measures compared to each other. Other metrics such as economic costs will not capture pain and suffering or other broader aspects of burden.[31]

DALYs are a simplification of a complex reality, and therefore only give a crude indication of environmental health impact. Relying on DALYs may make donors take a narrow approach to health care programs.

Foreign aid is most often directed at diseases with the highest DALYs, ignoring the fact that other diseases, despite having lower DALYs, are still major contributors to disease burden. Less-publicized diseases thus have little or no funding for health efforts. For example, maternal death (one of the top three killers in most poor countries) and pediatric respiratory and intestinal infections maintain a high disease burden, and safe pregnancy and the prevention of coughs in infants do not receive adequate funding.[32]

See also

References

  1. ^ "WHO | Metrics: Disability-Adjusted Life Year (DALY)". WHO. Retrieved 2020-01-02.
  2. ^ Prüss-Üstün, Annette; Corvalán, Carlos (2006). "Preventing disease through healthy environments: Towards an estimate of the environmental burden of disease" (PDF). Quantifying environmental health impacts. World Health Organization.
  3. ^ a b c d e f g Kay, David; Prüss, Annette; Corvalán, Carlos (23–24 August 2000). "Methodology for assessment of Environmental burden of disease" (PDF). ISEE session on environmental burden of disease. Buffalo.
  4. ^
    ISBN 978-9241546201. Archived from the original
    on June 12, 2005.
  5. PMID 26063472
    .
  6. ^
    PMID 19400963
    .
  7. PMID 14757707
    .
  8. PMID 34011457
    .
  9. ^
    S2CID 1598103
    .
  10. ^ World Health Organization (WHO) (2004). "Disease incidence, prevalence and disability" (PDF). The Global Burden of Disease. Retrieved 2009-01-30.
  11. PMID 23245607
    .
  12. ^ a b "About the Global Burden of Disease (GBD) project". Health statistics and health information systems. World Health Organization. Archived from the original on October 27, 2008.
  13. ^ a b "Global burden of disease". World Health Organization.
  14. ^ a b c d "Standard DALYs (3% discounting, age weights): WHO subregions" (XLS). Disease and injury regional estimates for 2004. World Health Organization.
  15. ^ a b c d "Standard DALYs (3% discounting, age weights): WHO subregions (YLL)" (XLS). Disease and injury regional estimates for 2004. World Health Organization.
  16. ^ a b "What is the environment in the context of health?" (PDF). Environmental burden of disease series. World Health Organization.
  17. PMID 34011457
    .
  18. ^ a b Department of Public Health and Environment (2010). "Quantification of the disease burden attributable to environmental risk factors" (PDF). Programme on quantifying environmental health impacts. World Health Organization.
  19. ^ Öberg, M.; Jaakkola, M.S.; Prüss-Üstün, A.; Schweizer, C.; Woodward, A. (2010). "Second-hand smoke: Assessing the environmental burden of disease at national and local levels" (PDF). Environmental Burden of Disease Series. World Health Organization. Retrieved January 2, 2019.
  20. ^ a b c Knol, A.B.; Staatsen, B.A.M. (8 August 2005). "Trends in the environmental burden of disease in the Netherlands, 1980–2020" (PDF). National Institute of Public Health and the Environment.
  21. ^ Fewtrell, Lorna; Prüss-Üstün, Annette; Bos, Robert; Gore, Fiona; Bartram, Jamie (2007). "Water, sanitation and hygiene: quantifying the health impact at national and local levels in countries with incomplete water supply and sanitation coverage" (PDF). WHO Environmental Burden of Disease Series. World Health Organization.
  22. PMID 31398232
    .
  23. PMID 31921418
    .
  24. S2CID 235713060
    .
  25. ^ a b Wigmore, Cameron (2 November 2007). "Study: Environmental burden of disease in Canada".
  26. ^ a b c d e f WHO (2023) Burden of disease attributable to unsafe drinking-water, sanitation and hygiene, 2019 update. Geneva: World Health Organization; 2023. Licence: CC BY-NC-SA 3.0 IGO.
  27. ^ "Call to action on sanitation" (PDF). United Nations. Archived from the original on August 2, 2014. Retrieved 15 August 2014.
  28. PMID 24066070
    .
  29. ISBN 978-92-4-151689-1
    .
  30. ^ Gleick P (2002). Dirty Water: Estimated Deaths from Water-Related Diseases 2000–2020 (PDF) (Report). Pacific Institute for Studies in Development, Environment, and Security.
  31. PMID 16416694
    .
  32. ISSN 0015-7120
    .

Sources

Retrieved from "https://en.wikipedia.org/w/index.php?title=Disease_burden&oldid=1265364798"