Your browser doesn't support javascript.
loading
Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.
Wang, Haidong; Liddell, Chelsea A; Coates, Matthew M; Mooney, Meghan D; Levitz, Carly E; Schumacher, Austin E; Apfel, Henry; Iannarone, Marissa; Phillips, Bryan; Lofgren, Katherine T; Sandar, Logan; Dorrington, Rob E; Rakovac, Ivo; Jacobs, Troy A; Liang, Xiaofeng; Zhou, Maigeng; Zhu, Jun; Yang, Gonghuan; Wang, Yanping; Liu, Shiwei; Li, Yichong; Ozgoren, Ayse Abbasoglu; Abera, Semaw Ferede; Abubakar, Ibrahim; Achoki, Tom; Adelekan, Ademola; Ademi, Zanfina; Alemu, Zewdie Aderaw; Allen, Peter J; AlMazroa, Mohammad AbdulAziz; Alvarez, Elena; Amankwaa, Adansi A; Amare, Azmeraw T; Ammar, Walid; Anwari, Palwasha; Cunningham, Solveig Argeseanu; Asad, Majed Masoud; Assadi, Reza; Banerjee, Amitava; Basu, Sanjay; Bedi, Neeraj; Bekele, Tolesa; Bell, Michelle L; Bhutta, Zulfiqar; Blore, Jed D; Basara, Berrak Bora; Boufous, Soufiane; Breitborde, Nicholas; Bruce, Nigel G; Bui, Linh Ngoc.
Afiliación
  • Wang H; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. Electronic address: haidong@uw.edu.
  • Liddell CA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Coates MM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Mooney MD; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Levitz CE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Schumacher AE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Apfel H; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Iannarone M; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Phillips B; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Lofgren KT; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Sandar L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Dorrington RE; University of Cape Town, Cape Town, South Africa.
  • Rakovac I; WHO Regional Office for Europe, Copenhagen, Denmark.
  • Jacobs TA; MCH Division, USAID - Global Health Bureau, HIDN, Washington, DC, USA.
  • Liang X; National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Zhou M; National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Zhu J; National Office for Maternal and Child's Health Surveillance, Chengdu, China.
  • Yang G; Peking Union Medical College, Beijing, China; Peking Union Medical College, Beijing, China.
  • Wang Y; National Office for Maternal and Child's Health Surveillance, Chengdu, China.
  • Liu S; National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Li Y; National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Ozgoren AA; Hacettepe University Institute of Population Studies, Ankara, Turkey.
  • Abera SF; Mekelle University, Tigray, Ethiopia.
  • Abubakar I; University College London, London, United Kingdom.
  • Achoki T; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana.
  • Adelekan A; Public Health Promotion Alliance, Osogpb, Nigeria.
  • Ademi Z; University of Melbourne, Melbourne, VIC, Australia.
  • Alemu ZA; Debre Markos Univerity, Debre Markos, Ethiopia.
  • Allen PJ; Ministry of Health, Belmopan, Cayo, Belize.
  • AlMazroa MA; Saudi Ministry of Health, Riyadh, Kingdom of Saudi Arabia.
  • Alvarez E; Government, Madrid, Spain.
  • Amankwaa AA; Albany State University, Albany, GA, USA.
  • Amare AT; Department of Epidemiology, University of Groningen, Groningen, Netherlands.
  • Ammar W; Ministry of Public Health, Beirut, Lebanon.
  • Anwari P; UNFPA, Kabul, Afghanistan.
  • Cunningham SA; Emory University, Atlanta, GA, USA.
  • Asad MM; Ministry of Health, Amman, Jordan.
  • Assadi R; Mashhad University of Medical Sciences, Mashhad, Khorasan, Iran.
  • Banerjee A; University of Birmingham, Birmingham, West Midlands, United Kingdom.
  • Basu S; Stanford University, Stanford, CA, USA.
  • Bedi N; College of Public Health and Tropical Medicine, Jazan, Saudi Arabia.
  • Bekele T; Madawalabu University, Bale Goba, Oromia, Ethiopia.
  • Bell ML; Yale University, New Haven, CT, USA.
  • Bhutta Z; Aga Khan University Medical Center, Karachi, Pakistan.
  • Blore JD; University of Melbourne, Melbourne, VIC, Australia.
  • Basara BB; Ministry of Health, General Directorate of Health Research, Ankara, Turkey.
  • Boufous S; Transport and Road Safety (TARS) Research, University of New South Wales, Sydney, NSW, Australia.
  • Breitborde N; University of Arizona, Tucson, AZ, USA.
  • Bruce NG; University of Liverpool, Merseyside, United Kingdom.
  • Bui LN; Hanoi School of Public Health, Hanoi, Vietnam.
Lancet ; 384(9947): 957-79, 2014 Sep 13.
Article en En | MEDLINE | ID: mdl-24797572
ABSTRACT

BACKGROUND:

Remarkable financial and political efforts have been focused on the reduction of child mortality during the past few decades. Timely measurements of levels and trends in under-5 mortality are important to assess progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two thirds from 1990 to 2015, and to identify models of success.

METHODS:

We generated updated estimates of child mortality in early neonatal (age 0-6 days), late neonatal (7-28 days), postneonatal (29-364 days), childhood (1-4 years), and under-5 (0-4 years) age groups for 188 countries from 1970 to 2013, with more than 29,000 survey, census, vital registration, and sample registration datapoints. We used Gaussian process regression with adjustments for bias and non-sampling error to synthesise the data for under-5 mortality for each country, and a separate model to estimate mortality for more detailed age groups. We used explanatory mixed effects regression models to assess the association between under-5 mortality and income per person, maternal education, HIV child death rates, secular shifts, and other factors. To quantify the contribution of these different factors and birth numbers to the change in numbers of deaths in under-5 age groups from 1990 to 2013, we used Shapley decomposition. We used estimated rates of change between 2000 and 2013 to construct under-5 mortality rate scenarios out to 2030.

FINDINGS:

We estimated that 6·3 million (95% UI 6·0-6·6) children under-5 died in 2013, a 64% reduction from 17·6 million (17·1-18·1) in 1970. In 2013, child mortality rates ranged from 152·5 per 1000 livebirths (130·6-177·4) in Guinea-Bissau to 2·3 (1·8-2·9) per 1000 in Singapore. The annualised rates of change from 1990 to 2013 ranged from -6·8% to 0·1%. 99 of 188 countries, including 43 of 48 countries in sub-Saharan Africa, had faster decreases in child mortality during 2000-13 than during 1990-2000. In 2013, neonatal deaths accounted for 41·6% of under-5 deaths compared with 37·4% in 1990. Compared with 1990, in 2013, rising numbers of births, especially in sub-Saharan Africa, led to 1·4 million more child deaths, and rising income per person and maternal education led to 0·9 million and 2·2 million fewer deaths, respectively. Changes in secular trends led to 4·2 million fewer deaths. Unexplained factors accounted for only -1% of the change in child deaths. In 30 developing countries, decreases since 2000 have been faster than predicted attributable to income, education, and secular shift alone.

INTERPRETATION:

Only 27 developing countries are expected to achieve MDG 4. Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa. The Millennium Declaration and increased development assistance for health might have been a factor in faster decreases in some developing countries. Without further accelerated progress, many countries in west and central Africa will still have high levels of under-5 mortality in 2030.

FUNDING:

Bill & Melinda Gates Foundation, US Agency for International Development.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Mortalidad Infantil / Salud Global / Mortalidad del Niño Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Child, preschool / Humans / Infant / Newborn Idioma: En Revista: Lancet Año: 2014 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Mortalidad Infantil / Salud Global / Mortalidad del Niño Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Child, preschool / Humans / Infant / Newborn Idioma: En Revista: Lancet Año: 2014 Tipo del documento: Article