Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017.
- Publisher:
- NATURE RESEARCH
- Publication Type:
- Journal Article
- Citation:
- Nature medicine, 2020, 26, (5), pp. 750-759
- Issue Date:
- 2020-05
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| s41591-020-0807-6.pdf | Published version | 23.46 MB | Adobe PDF |
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Full metadata record
| Field | Value | Language |
|---|---|---|
| dc.contributor.author | LBD Double Burden of Malnutrition Collaborators | |
| dc.date.accessioned | 2020-11-05T02:26:10Z | |
| dc.date.available | 2020-02-20 | |
| dc.date.available | 2020-11-05T02:26:10Z | |
| dc.date.issued | 2020-05 | |
| dc.identifier.citation | Nature medicine, 2020, 26, (5), pp. 750-759 | |
| dc.identifier.issn | 1078-8956 | |
| dc.identifier.issn | 1546-170X | |
| dc.identifier.uri | http://hdl.handle.net/10453/143756 | |
| dc.description.abstract | A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1-70.8) million) to 6.4% (58.3 (47.6-70.7) million), but is predicted to remain above the World Health Organization's Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8-38.5) million) in 2000 to 6.0% (55.5 (44.8-67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. | |
| dc.format | Print-Electronic | |
| dc.language | eng | |
| dc.publisher | NATURE RESEARCH | |
| dc.relation.ispartof | Nature medicine | |
| dc.relation.isbasedon | 10.1038/s41591-020-0807-6 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | 11 Medical and Health Sciences | |
| dc.subject.classification | Immunology | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Wasting Syndrome | |
| dc.subject.mesh | Malnutrition | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Demography | |
| dc.subject.mesh | Nutritional Status | |
| dc.subject.mesh | Developing Countries | |
| dc.subject.mesh | Social Class | |
| dc.subject.mesh | Poverty | |
| dc.subject.mesh | Child | |
| dc.subject.mesh | Child, Preschool | |
| dc.subject.mesh | Infant | |
| dc.subject.mesh | Infant, Newborn | |
| dc.subject.mesh | Income | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Overweight | |
| dc.subject.mesh | Geographic Mapping | |
| dc.subject.mesh | Pediatric Obesity | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Wasting Syndrome | |
| dc.subject.mesh | Malnutrition | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Demography | |
| dc.subject.mesh | Nutritional Status | |
| dc.subject.mesh | Developing Countries | |
| dc.subject.mesh | Social Class | |
| dc.subject.mesh | Poverty | |
| dc.subject.mesh | Child | |
| dc.subject.mesh | Child, Preschool | |
| dc.subject.mesh | Infant | |
| dc.subject.mesh | Infant, Newborn | |
| dc.subject.mesh | Income | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Overweight | |
| dc.subject.mesh | Geographic Mapping | |
| dc.subject.mesh | Pediatric Obesity | |
| dc.subject.mesh | Child | |
| dc.subject.mesh | Child, Preschool | |
| dc.subject.mesh | Demography | |
| dc.subject.mesh | Developing Countries | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Geographic Mapping | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Income | |
| dc.subject.mesh | Infant | |
| dc.subject.mesh | Infant, Newborn | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Malnutrition | |
| dc.subject.mesh | Nutritional Status | |
| dc.subject.mesh | Overweight | |
| dc.subject.mesh | Pediatric Obesity | |
| dc.subject.mesh | Poverty | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Social Class | |
| dc.subject.mesh | Wasting Syndrome | |
| dc.title | Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017. | |
| dc.type | Journal Article | |
| utslib.citation.volume | 26 | |
| utslib.location.activity | United States | |
| utslib.for | 11 Medical and Health Sciences | |
| pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
| pubs.organisational-group | /University of Technology Sydney | |
| pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Midwifery | |
| utslib.copyright.status | closed_access | * |
| pubs.consider-herdc | false | |
| dc.date.updated | 2020-11-05T02:25:50Z | |
| pubs.issue | 5 | |
| pubs.publication-status | Published | |
| pubs.volume | 26 | |
| utslib.citation.issue | 5 |
Abstract:
A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1-70.8) million) to 6.4% (58.3 (47.6-70.7) million), but is predicted to remain above the World Health Organization's Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8-38.5) million) in 2000 to 6.0% (55.5 (44.8-67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic.
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