Abstract
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1027-1045 |
| Number of pages | 19 |
| Journal | Nature Human Behaviour |
| Volume | 5 |
| Issue number | 8 |
| DOIs | |
| State | Published - Jun 3 2021 |
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In: Nature Human Behaviour, Vol. 5, No. 8, 03.06.2021, p. 1027-1045.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018
AU - Bhattacharjee, Natalia V.
AU - Schaeffer, Lauren E.
AU - Hay, Simon I.
AU - Lu, Dan
AU - Schipp, Megan F.
AU - Lazzar-Atwood, Alice
AU - Donkers, Katie M.
AU - Abady, Gdiom Gebreheat
AU - Abd-Allah, Foad
AU - Abdelalim, Ahmed
AU - Abebo, Zeleke Hailemariam
AU - Abejie, Ayenew Negesse
AU - Abosetugn, Akine Eshete
AU - Abreu, Lucas Guimarães
AU - Abrigo, Michael R.M.
AU - Abu-Gharbieh, Eman
AU - Abushouk, Abdelrahman I.
AU - Adamu, Aishatu L.
AU - Adedeji, Isaac Akinkunmi
AU - Adegbosin, Adeyinka Emmanuel
AU - Adekanmbi, Victor
AU - Adetokunboh, Olatunji O.
AU - Agudelo-Botero, Marcela
AU - Aji, Budi
AU - Akinyemi, Oluwaseun Oladapo
AU - Alamneh, Alehegn Aderaw
AU - Alanezi, Fahad Mashhour
AU - Alanzi, Turki M.
AU - Albright, James
AU - Alcalde-Rabanal, Jacqueline Elizabeth
AU - Alemu, Biresaw Wassihun
AU - Alhassan, Robert Kaba
AU - Ali, Beriwan Abdulqadir
AU - Ali, Saqib
AU - Alinia, Cyrus
AU - Alipour, Vahid
AU - Amit, Arianna Maever L.
AU - Amugsi, Dickson A.
AU - Anbesu, Etsay Woldu
AU - Ancuceanu, Robert
AU - Anjomshoa, Mina
AU - Ansari, Fereshteh
AU - Antonio, Carl Abelardo T.
AU - Anvari, Davood
AU - Arabloo, Jalal
AU - Arora, Amit
AU - Artanti, Kurnia Dwi
AU - Asemahagn, Mulusew A.
AU - Asmare, Wondwossen Niguse
AU - Atout, Maha Moh’d Wahbi
AU - Ausloos, Marcel
AU - Awoke, Nefsu
AU - Quintanilla, Beatriz Paulina Ayala
AU - Ayanore, Martin Amogre
AU - Aynalem, Yared Asmare
AU - Ayza, Muluken Altaye
AU - Azene, Zelalem Nigussie
AU - Darshan, B. B.
AU - Badiye, Ashish D.
AU - Baig, Atif Amin
AU - Bakkannavar, Shankar M.
AU - Banach, Maciej
AU - Banik, Palash Chandra
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AU - Bhandari, Dinesh
AU - Bhardwaj, Nikha
AU - Bhardwaj, Pankaj
AU - Bhutta, Zulfiqar A.
AU - Bijani, Ali
AU - Birhan, Tsegaye Adane
AU - Birihane, Binyam Minuye
AU - Bitew, Zebenay Workneh
AU - Bohlouli, Somayeh
AU - Bohluli, Mahdi
AU - Bojia, Hunduma Amensisa
AU - Boloor, Archith
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AU - Bragazzi, Nicola Luigi
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AU - Kumar, Manasi
AU - Kumar, Nithin
AU - Kumar, Pushpendra
AU - Kurmi, Om P.
AU - Kusuma, Dian
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N1 - KAUST Repository Item: Exported on 2021-12-21 Acknowledgements: This work was primarily supported by grant no. OPP1132415 from the Bill & Melinda Gates Foundation. Co-authors used by the Bill & Melinda Gates Foundation (E.G.P. and R.R.3) provided feedback on initial maps and drafts of this manuscript. L.G.A. has received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES), Código de Financiamento 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant nos. 404710/2018-2 and 310797/2019-5). O.O.Adetokunboh acknowledges the National Research Foundation, Department of Science and Innovation and South African Centre for Epidemiological Modelling and Analysis. M.Ausloos, A.Pana and C.H. are partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P4-ID-PCCF-2016-0084. P.C.B. would like to acknowledge the support of F. Alam and A. Hussain. T.W.B. was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. K.Deribe is supported by the Wellcome Trust (grant no. 201900/Z/16/Z) as part of his international intermediate fellowship. C.H. and A.Pana are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P2-2.1-SOL-2020-2-0351. B.Hwang is partially supported by China Medical University (CMU109-MF-63), Taichung, Taiwan. M.Khan acknowledges Jatiya Kabi Kazi Nazrul Islam University for their support. A.M.K. acknowledges the other collaborators and the corresponding author. Y.K. was supported by the Research Management Centre, Xiamen University Malaysia (grant no. XMUMRF/2020-C6/ ITM/0004). K.Krishan is supported by a DST PURSE grant and UGC Centre of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M.Kumar would like to acknowledge FIC/NIH K43 TW010716-03. I.L. is a member of the Sistema Nacional de Investigación (SNI), which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT), Panamá. M.L. was supported by China Medical University, Taiwan (CMU109-N-22 and CMU109-MF-118). W.M. is currently a programme analyst in Population and Development at the United Nations Population Fund (UNFPA) Country Office in Peru, which does not necessarily endorses this study. D.E.N. acknowledges Cochrane South Africa, South African Medical Research Council. G.C.P. is supported by an NHMRC research fellowship. P.Rathi acknowledges support from Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. Ramu Rawat acknowledges the support of the GBD Secretariat for supporting the reviewing and collaboration of this paper. B.R. acknowledges support from Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal. A.Ribeiro was supported by National Funds through FCT, under the programme of ‘Stimulus of Scientific Employment—Individual Support’ within the contract no. CEECIND/02386/2018. S.Sajadi acknowledges colleagues at Global Burden of Diseases and Local Burden of Disease. A.M.S. acknowledges the support from the Egyptian Fulbright Mission Program. F.S. was supported by the Shenzhen Science and Technology Program (grant no. KQTD20190929172835662). A.Sheikh is supported by Health Data Research UK. B.K.S. acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. B.U. acknowledges support from Manipal Academy of Higher Education, Manipal. C.S.W. is supported by the South African Medical Research Council. Y.Z. was supported by Science and Technology Research Project of Hubei Provincial Department of Education (grant no. Q20201104) and Outstanding Young and Middle-aged Technology Innovation Team Project of Hubei Provincial Department of Education (grant no. T2020003). The funders of the study had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. All maps presented in this study are generated by the authors and no permissions are required to publish them.
PY - 2021/6/3
Y1 - 2021/6/3
N2 - Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030.
AB - Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030.
UR - http://hdl.handle.net/10754/674125
UR - https://www.nature.com/articles/s41562-021-01108-6
UR - http://www.scopus.com/inward/record.url?scp=85107815293&partnerID=8YFLogxK
U2 - 10.1038/s41562-021-01108-6
DO - 10.1038/s41562-021-01108-6
M3 - Article
C2 - 34083753
SN - 2397-3374
VL - 5
SP - 1027
EP - 1045
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 8
ER -