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Children concurrently wasted and stunted: A meta‐analysis of prevalence data of children 6–59 months from 84 countries

Published on Apr 1, 2018in Maternal and Child Nutrition3.305
· DOI :10.1111/mcn.12516
Tanya Khara6
Estimated H-index: 6
,
Martha Mwangome11
Estimated H-index: 11
(Wellcome Trust)
+ 1 AuthorsCarmel Dolan6
Estimated H-index: 6
Abstract
  • References (23)
  • Citations (13)
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References23
Newest
#1Blessing J. Akombi (USYD: University of Sydney)H-Index: 4
#2Kingsley E Agho (USYD: University of Sydney)H-Index: 31
Last. John Hall (UNSW: University of New South Wales)H-Index: 17
view all 5 authors...
Background Sub-Saharan Africa has one of the highest levels of child malnutrition globally. Therefore, a critical look at the distribution of malnutrition within its sub-regions is required to identify the worst affected areas. This study provides a meta-analysis of the prevalence of malnutrition indicators (stunting, wasting and underweight) within four sub-regions of sub-Saharan Africa. Methods Cross-sectional data from the most recent Demographic and Health Surveys (2006–2016) of 32 countries...
43 CitationsSource
#1Chika HayashiH-Index: 3
#2Julia KrasevecH-Index: 7
Last. Umar SerajuddinH-Index: 6
view all 10 authors...
The inter-agency team released new joint estimates for child stunting overweight underweight wasting and severe wasting (May 2017 edition) using the same methodology as in previous years. These new estimates supersede former analyses results published by UNICEF WHO and the World Bank Group. Given that country data are at maximum available from surveys conducted in the year previous to when the modelling exercise takes place in 2017 the joint estimates were derived up to 2016 with extrapolation f...
137 Citations
#1Mahama Saaka (University for Development Studies)H-Index: 8
#2Sylvester Z. Galaa (University for Development Studies)H-Index: 6
Objective. The main aim of the study was to assess the magnitude of concurrent wasting and stunting among Ghanaian preschool children. Secondly, we investigated the relationship between wasting and stunting as well as factors associated with these conditions. Methods. This paper is based on reanalysis of anthropometric and other relevant data which was collected in the 2014 Ghana Demographic and Health Survey. The data set consisted of 2,720 preschool children aged 0–59 months. We conducted thre...
10 CitationsSource
#1Chloe AngoodH-Index: 2
#2Tanya KharaH-Index: 6
Last. James A. Berkley (University of Oxford)H-Index: 41
view all 4 authors...
Background Wasting and stunting are global public health problems that frequently co-exist. However, they are usually separated in terms of policy, guidance, programming and financing. Though both wasting and stunting are manifestations of undernutrition caused by disease and poor diet, there are critical gaps in our understanding of the physiological relationship between them, and how interventions for one may affect the other. The aim of this exercise was to establish research priorities in th...
16 CitationsSource
#1Subas Neupane (RMIT: RMIT University)H-Index: 16
#2K C Prakash (RMIT: RMIT University)H-Index: 1
Last. David Teye Doku (University of Cape Coast)H-Index: 22
view all 3 authors...
Background Overweight and obesity are risk factors for many chronic diseases globally. However, the extent of the problem in low-income countries like Sub-Saharan Africa is unclear. We assessed the magnitude and disparity of both phenomena by place of residence, level of education and wealth quintile using cross-sectional data from 32 countries.
28 CitationsSource
#1André BriendH-Index: 24
#2Tanya KharaH-Index: 6
Last. Carmel DolanH-Index: 6
view all 3 authors...
50 CitationsSource
#1Tanya KharaH-Index: 4
#2Carmel DolanH-Index: 6
This paper is a narrative review of the available literature on the relationship between wasting and stunting. It was born out of previous work carried out by the ENN which illustrated the divide at programme, policy and financing level between wasting and stunting. This divide ultimately has profound implications for how children worldwide receive nutrition interventions and services and, may well contribute to the lack of nutritional impact seen in programmes only addressing one part of the u...
26 Citations
#1Sonya CroweH-Index: 1
#2Andrew Seal (UCL Institute for Global Health)H-Index: 19
Last. Marko Kerac (UCL: University College London)H-Index: 18
view all 4 authors...
Tackling childhood malnutrition is a global health priority. A key indicator is the estimated prevalence of malnutrition, measured by nutrition surveys. Most aspects of survey design are standardised, but data ‘cleaning criteria’ are not. These aim to exclude extreme values which may represent measurement or data-entry errors. The effect of different cleaning criteria on malnutrition prevalence estimates was unknown. We applied five commonly used data cleaning criteria (WHO 2006; EPI-Info; WHO 1...
25 CitationsSource
#1Ibironke Olofin (Harvard University)H-Index: 6
#2Christine M. McDonald (Harvard University)H-Index: 12
Last. Goodarz Danaei (Harvard University)H-Index: 45
view all 8 authors...
Background Child undernutrition affects millions of children globally. We investigated associations between suboptimal growth and mortality by pooling large studies.
127 CitationsSource
#1Christine M. McDonald (Harvard University)H-Index: 12
#2Ibironke Olofin (Harvard University)H-Index: 6
Last. Goodarz Danaei (Harvard University)H-Index: 45
view all 9 authors...
81 CitationsSource
Cited By13
Newest
The Optimising treatment for acute MAlnutrition (OptiMA) strategy trains mothers to use mid upper arm circumference (MUAC) bracelets for screening and targets treatment to children with MUAC 75 %). A single-arm proof-of-concept trial was conducted in 2017 in Yako district, Burkina Faso including children aged 6-59 months in outpatient health centres with MUAC < 125 mm or oedema. Outcomes were stratified by MUAC category at admission. Multivariate survival analysis was carried out to identify var...
Source
#1Gloria Adobea Odei Obeng‐Amoako (College of Health Sciences, Bahrain)H-Index: 1
#2Mark MyattH-Index: 20
Last. André Briend (UCPH: University of Copenhagen)H-Index: 24
view all 12 authors...
We assessed prevalence of concurrently wasted and stunted (WaSt) and explored the overlaps between wasted, stunted, underweight and low mid-upper arm circumference (MUAC) among children aged 6-59 months in Karamoja, Uganda. We also determined optimal weight-for-age (WAZ) and MUAC thresholds for detecting WaSt. We conducted secondary data analysis with 2015-2018 Food Security and Nutrition Assessment (FSNA) cross-sectional survey datasets from Karamoja. Wasting, stunting and underweight were defi...
Source
#1Gloria Adobea Odei Obeng‐Amoako (College of Health Sciences, Bahrain)H-Index: 1
#2Henry Wamani (College of Health Sciences, Bahrain)H-Index: 17
Last. Charles A. S. Karamagi (University of Ghana)H-Index: 1
view all 10 authors...
This study assessed the prevalence of concurrently wasted and stunted (WaSt) children, their characteristics, treatment outcomes and response; and factors associated with time to recovery among children aged 6–59 months admitted to Outpatient Therapeutic Care (OTC) in Karamoja, Uganda. We conducted a retrospective cohort study with data from January 2016 to October 2017 for children admitted to nine OTCs in Karamoja. We defined wasted, stunted and underweight as 2.0 Z-scores below the median per...
1 CitationsSource
#1Lucy S. Tusting (Lond: University of London)H-Index: 14
#2John S. Bradley (Lond: University of London)H-Index: 66
Last. Steve W. Lindsay (Durham University)H-Index: 36
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Summary Background Child growth faltering persists in sub-Saharan Africa despite the scale-up of nutrition, water, and sanitation interventions over the past 2 decades. High temperatures have been hypothesised to contribute to child growth faltering via an adaptive response to heat, reduced appetite, and the energetic cost of thermoregulation. We did a cross-sectional study to assess whether child growth faltering is related to environmental temperature in sub-Saharan Africa. Methods Data were e...
Source
#1Haroldo da Silva Ferreira (UFAL: Federal University of Alagoas)H-Index: 18
BACKGROUND: The methodology currently used for nutritional assessment of populations classifies children according to four conditions: eutrophy, wasting, stunting, and overweight. However, children can be stunted and wasted concomitantly. Similarly, they can be stunted and overweight. These conditions are associated with greater susceptibility to mortality or chronic diseases, respectively. This work presents an adaptation of Waterlow's classification (AWC), which discriminates six nutritional c...
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India’s Adivasi scheduled tribe population is disproportionately affected by undernutrition and anemia, thereby prevailing in the poorest wealth deciles denominated as socially and economically vulnerable. This study was designed to assess the extent of child undernutrition (conventional and composite index of anthropometric failure (CIAF) classification), as well as the burden of anemia in children and its independent nutrition specific and sensitive drivers, moreover to reflect the living cond...
Source
#2Arnaud LaillouH-Index: 15
Last. Nanna RoosH-Index: 21
view all 7 authors...
Age-appropriate feeding practice (ADF) during early childhood are vital for optimal nutrition. This longitudinal study determined the effect of selected risk factors and ADF, as described by the National Nutritional Recommendations, on linear and ponderal growth of children below 24 months of age. Weight and length measures were used to calculate z-scores of anthropometric measures by WHO standards. The prevalence of stunting increased from 13.2% to 32.4% over time, while prevalence of wasting r...
Source
#1Nima Yaghmaei (UCL: Université catholique de Louvain)
#2Debarati Guha-Sapir (UCL: Université catholique de Louvain)H-Index: 23
Source
#1Joshua Jeong (Harvard University)H-Index: 3
#2Rockli Kim (Harvard University)H-Index: 8
Last. S.V. Subramanian (Harvard University)H-Index: 5
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Source
#1Sheila Isanaka (Harvard University)H-Index: 14
#2Matt D.T. Hitchings (Harvard University)H-Index: 3
Last. Rebecca F. GraisH-Index: 30
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