| Literature DB >> 30873796 |
Peter D Sly1, Brittany Trottier2, David Carpenter3, Ubon Cha'on4, Stephania Cormier5, Betsy Galluzzo6, Samayita Ghosh7, Fiona Goldizen1, Michelle Heacock2, Paul Jagals1, Hari Datt Joshi8, Prachi Kathuria9, Le Thai Ha10, Melina S Magsumbol7, Panida Navasumrit11, Poornima Prabhakaran7, Banalata Sen7, Chris Skelly12, Inoka Suraweera13, Sathiarany Vong14, Chador Wangdi15, William A Suk2.
Abstract
Children are particularly vulnerable to environmental hazards because they receive higher doses of pollutants in any given environment and often do not have equitable access to social protection mechanisms such as environmental and health care services. The World Health Organization established a global network of collaborating centres that address children's environmental health (CEH). The network developed a focus on low- and middle-income countries (LMICs) and is broadening its reach by conducting regional workshops for CEH.Objective: This paper reports on the outcomes of a workshop held in conjunction with the 17th International Conference (November 2017) of the Pacific Basin Consortium for Environment and Health, focused on the state of CEH in South and Southeast Asia as presented by seven countries from the region (India, Bangladesh, Nepal, Bhutan, Vietnam, Thailand, Sri Lanka).Workshop outcomes: Country reports presented at the meeting show a high degree of similarity with respect to the issues threatening the health of children. The most common problems are outdoor and household air pollution in addition to exposure to heavy metals, industrial chemicals, and pesticides. Many children still do not have adequate access to clean water and improved sanitation while infectious diseases remain a problem, especially for children living in poverty. Child labour is widely prevalent, generally without adequate training or personal protective equipment. The children now face the dual burden of undernutrition and stunting on the one hand and overnutrition and obesity on the other.Entities:
Year: 2019 PMID: 30873796 PMCID: PMC6571144 DOI: 10.5334/aogh.2403
Source DB: PubMed Journal: Ann Glob Health ISSN: 2214-9996 Impact factor: 2.462
Contribution of Children to the Burden of Disease in Terms of Mortality and Disability-Adjusted Life Years (DALYs) in Countries in South and Southeast Asia, 2016.
| Country | Total population | Children under 5 years | Children 5–14 years | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Number1 | Mortality*2 | DALYs+2 | Number3 | Mortality*4 | DALYs+2 | Number3 | Mortality*5 | DALYs+2 | |
| Afghanistan | 33,369,944 | 13.4 | 18,559,913.78 | 4,925,453 | 70.4 | 6,668,140.81 | 9,529,049 | 9.5 | 1,563,032.74 |
| Bangladesh | 157,826,578 | 5.4 | 44,604,974.52 | 15,348,064 | 34.2 | 8,927,010.09 | 31,784,370 | 4.9 | 3,112,784.50 |
| Bhutan | 758,288 | 6.5 | 217,940.45 | 64,238 | 32.4 | 48,462.11 | 142,017 | 7.1 | 15,665.39 |
| Cambodia | 16,204,486 | 7.5 | 5,151,857.17 | 1,769,672 | 30.6 | 1,156,240.29 | 3,199,351 | 5.3 | 317,402.72 |
| India | 1,281,935,911 | 7.3 | 466,336,532.09 | 122,905,717 | 43 | 82,178,860.46 | 253,480,869 | 6.3 | 28,678,894.59 |
| Indonesia | 260,580,739 | 6.5 | 72,732,990.22 | 25,390,959 | 26.4 | 10,578,185.18 | 46,353,414 | 5.3 | 3,829,692.22 |
| Laos | 7,126,706 | 7.4 | 2,924,169.05 | 837,524 | 63.9 | 1,325,941.62 | 1,543,987 | 9.9 | 175,417.86 |
| Malaysia | 31,381,992 | 5.1 | 6,737,516.32 | 2,565,658 | 8.3 | 355,847.46 | 4,877,968 | 2.6 | 313,839.04 |
| Maldives | 392,709 | 4.0 | 60,862.34 | 37,880 | 8.5 | 5,214.37 | 63,593 | 2.5 | 4,293.56 |
| Mauritius | 1,277,459 | 7.1 | 381,231.49 | 70,171 | 13.7 | 18,854.55 | 170,552 | 1.8 | 12,091.07 |
| Myanmar | 55,123,814 | 7.4 | 17,015,425.21 | 4,510,575 | 50.8 | 2,442,508.47 | 10,166,907 | 8.2 | 904,869.13 |
| Pakistan | 204,924,861 | 6.3 | 70,625,422.15 | 24,938,283 | 78.8 | 23,090,427.29 | 42,325,803 | 11.3 | 5,107,578.01 |
| Philippines | 104,256,076 | 6.1 | 30,068,249.49 | 11,363,634 | 27.1 | 5,388,348.70 | 21,048,184 | 6.5 | 2,130,934.32 |
| Seychelles | 97,026 | 7.0 | 27,257.19 | 8,299 | 14.3 | 1,879.32 | 14,597 | 3.8 | 958.53 |
| Sri Lanka | 22,409,381 | 6.2 | 5,000,512.32 | 1,602,492 | 9.4 | 220,579.92 | 3,450,933 | 2.3 | 236,149.00 |
| Thailand | 68,414,135 | 8.0 | 18,341,441.31 | 3,739,823 | 12.2 | 417,806.67 | 8,136,696 | 3.2 | 536,483.62 |
| Timor-Leste | 1,211,244 | 5.9 | 322,385.06 | 217,743 | 49.7 | 108,399.07 | 300,858 | 8.0 | 28,388.64 |
| Vietnam | 96,160,163 | 5.9 | 24,140,772.25 | 7,751,809 | 21.6 | 1,928,964.37 | 14,042,712 | 2.8 | 872,845.00 |
* Per 1,000 live births.
+ All causes, all sexes.
1 The World Factbook. Washington D.C.: Central Intelligence Agency. https://www.cia.gov/library/publications/the-world-factbook/index.html. Accessed July 12, 2018.
2 GBD Compare Data Visualization. Seattle, WA: Institute for Health Metrics and Evaluation, University of Washington; 2017. https://vizhub.healthdata.org/gbd-compare. Accessed July 12, 2018.
3 Population Pyramids of the World from 1950 to 2100. https://www.populationpyramid.net. Accessed July 12, 2018.
4 Global Health Observatory Data Repository. Probability of dying per 1000 live births: Data by country. Geneva: World Health Organization; 2017. http://apps.who.int/gho/data/view.main.182?lang=en. Updated September 19, 2017. Accessed July 12, 2018.
5 Global Health Observatory Data Repository. Probability of dying per 1000 children, aged 5 to 14: Data by country. Geneva: World Health Organization; 2017. http://apps.who.int/gho/data/node.main.CM5TO14?lang=en. Updated September 21, 2017. Accessed July 12, 2018.