Nutrition Assessment of Under-Five Children in Sudan: Tracking the Achievement of the Global Nutrition Targets
Abstract
:1. Introduction
2. Materials and Methods
2.1. Methods of S3M Surveys
2.2. Tracking Tools of the Global Nutrition Targets
2.3. The Sample
2.4. Data Collection
2.5. Definitions of Nutrition Indicators
- 1—Wasting is acute malnutrition reflected by weight-for-height Z-score (WHZ) or MUAC. Global Acute Malnutrition GAM includes Severe Acute malnutrition (SAM) and Moderate Acute Malnutrition (MAM).
- ➢
- Wasting global (WHZ) is the percentage of children 6–59 months < −2 Z-scores weight for height and/or oedema.
- Wasting severe (WHZ) is the percentage of children 6–59 months < −3 Z-scores weight for height and/or oedema.
- Wasting Moderate (WHZ) is the percentage of children 6–59 months between < −2 Z-scores and −3 z-scores weight for height.
- ➢
- Wasting global (MUAC) is the percentage of children 6–59 months with an MUAC < 125 mm and or oedema.
- Wasting severe (MUAC) is the percentage of children 6–59 months with a MUAC < 115.
- Wasting Moderate (MUAC) is the percentage of children 6–59 months with a MUAC between <1 25 mm and > 115 mm.
- 2—Stunting is chronic malnutrition reflected by height-for-age Z-score (HAZ).
- ➢
- Stunting global (HAZ) is the percentage of children 6–59 months < −2 Z-scores height for age.
- Stunting severe (HAZ) is the percentage of children 6–59 months < −3 Z-scores height for age.
- Stunting Moderate (HAZ) is the percentage of children 6–59 months between < −2 Z-scores and −3 z-scores height for age.
- 3—Underweight is the percentage of children who have low weight for age Z-score (WAZ),
- ➢
- Underweight global (WAZ) is the percentage of children 6–59 months < −2 Z-scores weight for age.
- Underweight severe (WAZ) is the percentage of children 6–59 months < −3 Z-scores weight for age.
- Underweight Moderate (WAZ) is the percentage of children 6–59 months between < −2 Z-scores and −3 z-scores weight for age.
- 4—Overweight/Obesity is the percentage of children 6–59 months >2 Z-scores weight for height/age.
- 5—Nutritional oedema was assessed clinically using the bilateral pitting oedema test.
- 6—Exclusive breastfeeding is the percentage of children 0–6 months taking breast milk only.
- 7—Continuing Breast-feeding is the percentage of children 6–24 months currently breastfeeding.
- 8—Meal frequency is the percentage of children receiving meals the appropriate number of times for their age during the 24 h before the survey.
- 9—Dietary diversity is the percentage of children consuming the appropriate number of food groups for their age during the 24 h before the survey.
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- WHO. Children: Reducing Mortality. 2016. Available online: http://www.who.int/mediacentre/factsheets/fs178/en/ (accessed on 28 December 2020).
- Hemsley, S. Malnutrition Is a World Health Crisis, Says WHO Expert. 2019. Available online: https://www.globalcause.co.uk/world-food-day/malnutrition-is-a-world-health-crisis-says-who-expert/ (accessed on 28 December 2020).
- WHO. Malnutrition. 2020. Available online: https://www.who.int/news-room/fact-sheets/detail/malnutrition (accessed on 29 December 2020).
- FAO; IFAD; UNICEF; WFP; WHO. The State of Food Security and Nutrition in the World; Food and Agriculture Organization: Rome, Italy, 2020; Available online: http://www.fao.org/3/ca9692en/online/ca9692en.html (accessed on 10 January 2021).
- Hawkes, C.; Ruel, M.T.; Salm, L.; Sinclair, B.; Branca, F. Double-duty actions: Seizing programme and policy opportunities to address malnutrition in all its forms. Lancet 2020, 395, 142–155. [Google Scholar] [CrossRef]
- WHO. Global Nutrition Targets 2025: Policy Brief Series. 2014. Available online: https://www.who.int/publications/i/item/WHO-NMH-NHD-14.2 (accessed on 13 January 2021).
- Dahab, M.; Abdelmagid, N.; Osama, T.; Nurelhuda, N.; Abutalib, Z.; Spiegel, P.; Checchi, F.; Abdelgalil, S. Political violence in Sudan: The need for a coordinated, locally led humanitarian health response. Lancet 2019, 394, 549–551. [Google Scholar] [CrossRef]
- The, L. Sudan’s threatened health and humanitarian crisis. Lancet 2019, 393, 199. [Google Scholar] [CrossRef]
- OCHA. Humanitarian Needs Overview-Sudan 69; United Nations Office for the Coordination of Humanitarian Affairs: Khartoum, Sudan, 2020. [Google Scholar]
- FEWS NET Sudan. SUDAN Food Security Outlook Update. 2020. Available online: https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/documents/files/sudan_food_security_outlook_aug_2020.pdf (accessed on 28 December 2020).
- FAO. Desert Locust Situation in Sudan (4–6 October 2020). 2020. Available online: https://www.humanitarianresponse.info/en/operations/sudan/document/desert-locust-situation-sudan-4-6-october-2020 (accessed on 28 December 2020).
- OCHA. Sudan Humanitarian Response Plan 2020, 84; United Nations Office for the Coordination of Humanitarian Affairs: Khartoum, Sudan, 2020. [Google Scholar]
- IPC. IPC Acute Food Insecurity Analysis Projection Update October–December 2020. 2020. Available online: https://reliefweb.int/sites/reliefweb.int/files/resources/IPC_Sudan_Acute_Food_Insecurity_Projection_Update_2020OctDec_Report.pdf (accessed on 23 February 2021).
- OCHA. Simple, Spatial, Survey Method (S3M II) for Sudan. United Nations Office for the Coordination of Humanitarian Affairs, Sudan. 2018. Available online: https://data.humdata.org/dataset/simple-spatial-survey-method-s3m-ii-for-sudan-2018 (accessed on 20 December 2020).
- WHO; UNICEF; EC. Tracking Tools of the Global Nutrition Targets. 2012. Available online: https://extranet.who.int/nhdtargets/en/Menu (accessed on 23 April 2021).
- WHO. Child Growth Standards. 2006. Available online: https://www.who.int/tools/child-growth-standards/standards (accessed on 11 January 2021).
- WHO; UNICEF. WHO Child Growth Standards and the Identification of Severe Acute Malnutrition in Infants and Children; Report No. World Health Organization, United Nations Children’s Fund: Geneva, Switzerland, 2009; ISBN 978-92-4-159816-3. [Google Scholar]
- FMOH. Sudan National S3M: Report of a Simple Spatial Surveying Method (S3M) Survey. Federal Ministry of Health, Sudan. 2013. Available online: https://www.coverage-monitoring.org/wp-content/uploads/2014/12/Sudan_S3M-_2013_FINAL-Endorsed-EXECUTIVE-SUMMARY_25Nov2014.pdf (accessed on 24 March 2021).
- WHO; UNICEF. New Prevalence Thresholds for Stunting, Wasting and Overweight in Children. 2018. Available online: https://us14.campaign-archive.com/?e=%5bUNIQID%5d&u=fb1d9aabd6c823bef179830e9&id=c74c174635 (accessed on 22 March 2021).
- de Onis, M.; Borghi, E.; Arimond, M.; Webb, P.; Croft, T.; Saha, K.; De-Regil, L.M.; Thuita, F.; Heidkamp, R.; Krasevec, J.; et al. Prevalence thresholds for wasting, overweight and stunting in children under 5 years. Public Health Nutr. 2019, 22, 175–179. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bennett, S.; Radalowicz, A.; Vella, V.; Tomkins, A. A computer simulation of household sampling schemes for health surveys in developing countries. Int. J. Epidemiol. 1994, 23, 1282–1291. [Google Scholar] [CrossRef] [PubMed]
- EMRO-WHO. Children Under 5 Who Are Stunted. 2018. Available online: https://rho.emro.who.int/Indicator/TermID/31 (accessed on 11 January 2021).
- CBS; UNICEF. Multiple Indicator Cluster Survey 2014 of Sudan; Ministry of Cabinet Central Bureau of Statistics: Khartoum, Sudan; UNICEF: New York, NY, USA, 2016. [Google Scholar]
- Sulaiman, A.A.; Bushara, S.O.; Elmadhoun, W.M.; Noor, S.K.; Abdelkarim, M.; Aldeen, I.N.; Osman, M.M.; Almobarak, A.O.; Awadalla, H.; Ahmed, M.H. Prevalence and determinants of undernutrition among children under 5-year-old in rural areas: A cross-sectional survey in North Sudan. J. Fam. Med. Prim. Care 2018, 7, 104–110. [Google Scholar] [CrossRef]
- Ghimire, U.; Aryal, B.K.; Gupta, A.K.; Sapkota, S. Severe acute malnutrition and its associated factors among children under-five years: A facility-based cross-sectional study. BMC Pediatr. 2020, 20, 249. [Google Scholar] [CrossRef] [PubMed]
- Mohamed, S.; Hussein, M.D. Prevalence of acute malnutrition in pre-school children in a rural area of northern Sudan. E. Afr. Med. J. 2014, 91, 1. [Google Scholar]
- Tickell, K.D.; Sharmin, R.; Deichsel, E.L.; Lamberti, L.M.; Walson, J.L.; Faruque, A.S.G.; Pavlinac, P.B.; Kotloff, K.L.; Christi, M.J. The effect of acute malnutrition on enteric pathogens, moderate-to-severe diarrhoea, and associated mortality in the Global Enteric Multicenter Study cohort: A post-hoc analysis. Lancet Glob. Health 2020, 8, e215–e224. [Google Scholar] [CrossRef] [Green Version]
- Headey, D.; Heidkamp, R.; Osendarp, S.; Ruel, M.; Scott, N.; Black, R.; Shekar, M.; Bouis, H.; Flory, A.; Haddad, L.; et al. Impacts of COVID-19 on childhood malnutrition and nutrition-related mortality. Lancet 2020, 396, 519–521. [Google Scholar] [CrossRef]
- Popkin, B.M.; Corvalan, C.; Grummer-Strawn, L.M. Dynamics of the double burden of malnutrition and the changing nutrition reality. Lancet 2020, 395, 65–74. [Google Scholar] [CrossRef]
- Wells, J.C.; Sawaya, A.L.; Wibaek, R.; Mwangome, M.; Poullas, M.S.; Yajnik, C.S.; Demaio, A. The double burden of malnutrition: Aetiological pathways and consequences for health. Lancet 2020, 395, 75–88. [Google Scholar] [CrossRef]
- Shekar, M.; Kakietek, J.J.; Dayton, J.M.; Walters, D.D. An Investment Framework for Nutrition: Reaching the Global Targets for Stunting, Anemia, Breastfeeding and Wasting: Executive Summary; World Bank Group: Washington, DC, USA, 2016. [Google Scholar]
- Shekar, M.; Dayton Eberwein, J.; Provo, A.M.; Mehta, M.; Sullivan, L. An Investment Framework for Nutrition: Reaching the Global Targets for Stunting, Anemia, Breastfeeding, and Wasting Directions in Development—Human Development 11–27; The World Bank: Washington, DC, USA, 2017. [Google Scholar]
Labels | Wasting WHZ% | Overweight WAZ% | Stunting HAZ% |
---|---|---|---|
Very Low | <2.5 | <2.5 | <2.5 |
Low | 2.5 < 5 | 2.5 < 5 | 2.5 < 5 |
Medium | 5 < 10 | 5 < 10 | 5 < 10 |
High | 10 < 15 | 10 < 15 | 10 < 15 |
Very High | >15 | >15 | >30 |
WHZ: weight-for-height Z-score, WAZ: weight-for-age Z-score, HAZ: Height-for-Age Z-score |
State | Mean HAZ | HAZ < −2% | HAZ −3 to −2% | HAZ < −3% | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | |
Al Gedaref | −1.76 | −1.98 | −1.54 | 45.16 | 39.03 | 51.28 | 23.14 | 14.73 | 31.54 | 21.95 | 16.37 | 27.54 |
Al-Gezira | −1.46 | −1.65 | −1.26 | 35.04 | 29.56 | 40.52 | 22.51 | 15.53 | 29.49 | 12.42 | 7.66 | 17.19 |
Blue Nile | −1.50 | −1.72 | −1.29 | 37.23 | 31.26 | 43.20 | 21.13 | 13.46 | 28.79 | 16.08 | 10.90 | 21.27 |
Central Darfur | −1.65 | −1.94 | −1.36 | 41.95 | 32.56 | 51.34 | 20.96 | 9.20 | 32.71 | 20.93 | 12.62 | 29.24 |
East Darfur | −1.54 | −1.79 | −1.28 | 39.55 | 33.92 | 45.19 | 21.00 | 13.03 | 28.98 | 18.57 | 13.06 | 24.07 |
Kassala | −1.89 | −2.06 | −1.71 | 47.72 | 41.41 | 54.03 | 24.95 | 16.48 | 33.42 | 22.81 | 17.62 | 28.01 |
Khartoum | −1.07 | −1.30 | −0.85 | 25.19 | 18.03 | 32.34 | 16.59 | 8.35 | 24.82 | 8.52 | 4.42 | 12.61 |
North Darfur | −1.83 | −2.07 | −1.59 | 45.80 | 37.41 | 54.19 | 25.07 | 14.21 | 35.94 | 20.66 | 14.14 | 27.18 |
North Kordofan | −1.67 | −1.83 | −1.50 | 40.11 | 35.28 | 44.94 | 24.41 | 17.78 | 31.03 | 15.77 | 11.43 | 20.12 |
Northern | −1.20 | −1.43 | −0.96 | 30.17 | 22.77 | 37.56 | 19.40 | 10.89 | 27.92 | 10.86 | 5.56 | 16.15 |
Red Sea | −1.90 | −2.18 | −1.62 | 48.38 | 40.11 | 56.65 | 23.58 | 12.04 | 35.11 | 24.83 | 17.04 | 32.61 |
River Nile | −1.56 | −1.76 | −1.36 | 39.02 | 31.64 | 46.39 | 22.25 | 14.06 | 30.44 | 16.61 | 11.05 | 22.17 |
Sennar | −1.48 | −1.69 | −1.28 | 35.13 | 29.26 | 41.00 | 21.57 | 13.88 | 29.26 | 13.63 | 9.01 | 18.26 |
South Darfur | −1.16 | −1.35 | −0.96 | 23.68 | 16.17 | 31.19 | 16.81 | 8.19 | 25.42 | 6.78 | 2.56 | 10.99 |
South Kordofan | −1.67 | −1.90 | −1.44 | 40.77 | 31.75 | 49.79 | 22.80 | 12.21 | 33.39 | 17.81 | 11.28 | 24.35 |
West Darfur | −1.57 | −1.78 | −1.36 | 41.45 | 35.95 | 46.95 | 21.86 | 14.31 | 29.41 | 19.62 | 14.79 | 24.45 |
West Kordofan | −1.54 | −1.73 | −1.36 | 36.83 | 31.20 | 42.46 | 21.88 | 15.11 | 28.65 | 15.02 | 10.89 | 19.16 |
White Nile | −1.60 | −1.81 | −1.39 | 39.95 | 33.50 | 46.40 | 22.68 | 15.30 | 30.06 | 17.29 | 12.51 | 22.08 |
Sudan | −1.49 | −1.71 | −1.28 | 36.35 | 29.56 | 43.14 | 21.25 | 12.81 | 29.70 | 15.06 | 9.87 | 20.25 |
State | Mean WAZ | WAZ < −2% | WAZ −3 to −2% | WAZ < −3% | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | |
Al Gedaref | −1.42 | −1.60 | −1.24 | 29.98 | 23.87 | 36.08 | 21.64 | 13.98 | 29.30 | 8.26 | 3.81 | 12.72 |
Al-Gezira | −1.27 | −1.42 | −1.12 | 23.68 | 16.57 | 30.79 | 18.64 | 10.88 | 26.40 | 4.88 | 1.63 | 8.12 |
Blue Nile | −1.19 | −1.33 | −1.04 | 21.30 | 15.67 | 26.94 | 16.93 | 10.56 | 23.30 | 4.34 | 1.59 | 7.10 |
Central Darfur | −1.56 | −1.80 | −1.32 | 33.64 | 26.40 | 40.89 | 22.57 | 12.62 | 32.52 | 10.84 | 4.85 | 16.82 |
East Darfur | −1.60 | −1.80 | −1.39 | 35.97 | 29.47 | 42.47 | 23.73 | 15.51 | 31.96 | 12.10 | 7.03 | 17.17 |
Kassala | −1.51 | −1.67 | −1.35 | 32.71 | 25.82 | 39.60 | 23.80 | 15.74 | 31.86 | 8.86 | 4.44 | 13.27 |
Khartoum | −1.19 | −1.37 | −1.01 | 23.48 | 16.59 | 30.37 | 17.70 | 10.07 | 25.33 | 5.75 | 2.00 | 9.50 |
North Darfur | −1.85 | −2.05 | −1.64 | 44.01 | 33.47 | 54.56 | 29.54 | 17.30 | 41.79 | 14.44 | 7.25 | 21.64 |
North Kordofan | −1.55 | −1.68 | −1.43 | 32.55 | 27.30 | 37.81 | 24.71 | 18.55 | 30.86 | 7.84 | 4.84 | 10.85 |
Northern | −1.36 | −1.54 | −1.17 | 26.82 | 18.88 | 34.76 | 20.73 | 12.12 | 29.34 | 5.73 | 2.10 | 9.36 |
Red Sea | −2.02 | −2.22 | −1.81 | 49.77 | 40.16 | 59.38 | 26.19 | 13.37 | 39.01 | 23.33 | 14.31 | 32.35 |
River Nile | −1.54 | −1.76 | −1.33 | 33.20 | 25.91 | 40.48 | 22.89 | 13.94 | 31.85 | 10.19 | 5.06 | 15.31 |
Sennar | −1.32 | −1.48 | −1.17 | 25.78 | 19.33 | 32.23 | 19.92 | 12.98 | 26.86 | 5.67 | 2.50 | 8.83 |
South Darfur | −1.29 | −1.45 | −1.13 | 22.27 | 16.14 | 28.39 | 18.22 | 11.38 | 25.06 | 3.97 | 0.71 | 7.22 |
South Kordofan | −1.32 | −1.50 | −1.14 | 26.07 | 19.12 | 32.93 | 20.15 | 12.25 | 28.05 | 5.88 | 2.41 | 9.35 |
West Darfur | −1.34 | −1.52 | −1.16 | 26.71 | 19.72 | 33.70 | 20.12 | 12.39 | 27.85 | 6.32 | 2.86 | 9.79 |
West Kordofan | −1.47 | −1.62 | −1.31 | 30.74 | 24.46 | 37.02 | 22.50 | 14.73 | 30.26 | 8.32 | 3.98 | 12.67 |
White Nile | −1.31 | −1.48 | −1.15 | 26.49 | 20.28 | 32.70 | 19.89 | 12.50 | 27.28 | 6.46 | 2.93 | 10.00 |
Sudan | −1.41 | −1.59 | −1.24 | 29.16 | 22.05 | 36.27 | 21.14 | 12.82 | 29.45 | 7.93 | 3.43 | 12.42 |
State | Mean WHZ | WHZ < 2% | WHZ −3 to −2% | WHZ < −3% | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | |
Al Gedaref | −0.50 | −0.72 | −0.28 | 10.98 | 5.33 | 16.62 | 8.38 | 2.12 | 14.64 | 2.35 | 0.01 | 5.04 |
Al-Gezira | −0.61 | −0.77 | −0.44 | 10.44 | 6.18 | 14.70 | 8.90 | 4.46 | 13.35 | 1.45 | 0.10 | 2.80 |
Blue Nile | −0.44 | −0.61 | 0.27 | 7.02 | 3.25 | 10.79 | 6.01 | 2.10 | 9.92 | 0.92 | 0.01 | 2.12 |
Central Darfur | −0.82 | −1.04 | −0.60 | 16.46 | 9.03 | 23.89 | 12.65 | 4.64 | 20.66 | 3.65 | 0.16 | 7.14 |
East Darfur | −0.94 | −1.12 | −0.75 | 18.93 | 13.18 | 24.68 | 13.90 | 7.18 | 20.63 | 4.91 | 1.87 | 7.95 |
Kassala | −0.60 | −0.76 | −0.45 | 9.40 | 4.52 | 14.29 | 7.72 | 2.54 | 12.89 | 1.63 | 0.01 | 3.48 |
Khartoum | −0.81 | −1.00 | −0.61 | 14.61 | 9.98 | 19.25 | 11.92 | 6.79 | 17.04 | 2.56 | 0.75 | 4.37 |
North Darfur | −1.09 | −1.39 | −0.80 | 19.11 | 10.89 | 27.34 | 15.44 | 5.81 | 25.07 | 3.41 | 0.01 | 8.15 |
North Kordofan | −0.83 | −0.97 | −0.70 | 11.75 | 8.11 | 15.39 | 10.26 | 6.47 | 14.04 | 1.41 | 0.33 | 2.50 |
Northern | −0.88 | −1.08 | −0.68 | 16.46 | 11.19 | 21.72 | 12.82 | 7.12 | 18.53 | 3.47 | 0.92 | 6.02 |
Red Sea | −1.12 | −1.40 | −0.83 | 24.88 | 16.02 | 33.75 | 14.05 | 3.02 | 25.08 | 10.95 | 2.99 | 18.91 |
River Nile | −0.89 | −1.08 | −0.69 | 19.59 | 14.34 | 24.84 | 13.99 | 7.34 | 20.63 | 5.53 | 1.74 | 9.31 |
Sennar | −0.67 | −0.82 | −0.52 | 10.40 | 5.85 | 14.12 | 8.90 | 4.12 | 13.68 | 1.44 | 0.01 | 2.88 |
South Darfur | −0.92 | −1.12 | −0.71 | 15.03 | 8.50 | 21.56 | 12.38 | 5.41 | 19.36 | 2.59 | 0.01 | 5.33 |
South Kordofan | −0.51 | −0.70 | −0.33 | 7.83 | 3.26 | 12.39 | 6.78 | 2.29 | 11.27 | 0.94 | 0.01 | 2.20 |
West Darfur | −0.59 | −0.79 | −0.40 | 10.86 | 6.26 | 15.47 | 8.88 | 3.97 | 13.79 | 1.97 | 0.30 | 3.64 |
West Kordofan | −0.80 | −0.95 | −0.65 | 12.20 | 7.34 | 17.06 | 10.22 | 5.16 | 15.28 | 1.90 | 0.01 | 3.82 |
White Nile | −0.51 | −0.66 | −0.37 | 9.56 | 6.20 | 12.92 | 7.90 | 4.21 | 11.59 | 1.59 | 0.28 | 2.89 |
Sudan | −0.76 | −0.96 | −0.57 | 13.60 | 8.16 | 19.04 | 10.78 | 4.69 | 16.87 | 2.72 | 0.01 | 5.58 |
State | Mean MUAC (mm) | MUAC < 125 mm
GAM% | MAUC 115 mm–125 mm MAM% | MUAC < 115 mm
SAM% | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | Estimation | 95% LCL | 95% UCL | |
Al Gedaref | 143.59 | 141.82 | 145.36 | 6.62 | 2.99 | 10.25 | 5.61 | 2.03 | 9.19 | 0.97 | 0.01 | 1.96 |
Al-Gezira | 142.56 | 140.85 | 144.28 | 6.46 | 2.40 | 10.52 | 5.48 | 1.30 | 9.67 | 0.86 | 0.01 | 1.79 |
Blue Nile | 142.02 | 140.36 | 143.69 | 8.63 | 5.21 | 12.04 | 7.08 | 3.40 | 10.75 | 1.51 | 0.24 | 2.78 |
Central Darfur | 139.52 | 137.69 | 141.35 | 10.53 | 5.99 | 15.08 | 8.72 | 3.90 | 13.53 | 1.72 | 0.13 | 3.31 |
East Darfur | 138.49 | 136.74 | 140.24 | 13.02 | 7.26 | 18.79 | 10.51 | 4.10 | 16.92 | 2.40 | 0.26 | 4.55 |
Kassala | 139.54 | 138.05 | 141.02 | 12.45 | 8.46 | 16.44 | 9.79 | 5.03 | 14.55 | 2.73 | 0.88 | 4.58 |
Khartoum | 146.16 | 144.24 | 148.08 | 5.24 | 2.04 | 8.44 | 4.33 | 1.04 | 7.62 | 0.83 | 0.01 | 1.76 |
North Darfur | 136.79 | 134.94 | 138.64 | 15.86 | 9.59 | 22.13 | 12.43 | 5.60 | 19.26 | 3.22 | 0.75 | 5.69 |
North Kordofan | 141.88 | 140.37 | 143.40 | 6.79 | 3.29 | 10.29 | 5.81 | 1.99 | 9.63 | 0.89 | 0.01 | 1.98 |
Northern | 142.51 | 140.79 | 144.23 | 5.70 | 1.57 | 9.84 | 5.04 | 0.69 | 9.40 | 0.69 | 0.01 | 1.54 |
Red Sea | 132.20 | 129.99 | 134.42 | 29.60 | 21.84 | 37.36 | 20.95 | 11.81 | 30.09 | 8.50 | 3.27 | 13.72 |
River Nile | 140.95 | 138.97 | 142.93 | 10.65 | 4.63 | 16.66 | 8.38 | 2.21 | 14.55 | 1.98 | 0.01 | 4.55 |
Sennar | 144.24 | 142.54 | 145.94 | 6.47 | 2.85 | 10.09 | 5.29 | 1.68 | 8.89 | 1.03 | 0.01 | 2.16 |
South Darfur | 140.62 | 138.96 | 142.27 | 8.87 | 4.75 | 13.00 | 7.35 | 2.91 | 11.80 | 1.52 | 0.01 | 3.42 |
South Kordofan | 140.39 | 138.26 | 142.52 | 9.78 | 5.08 | 14.49 | 7.88 | 2.81 | 12.95 | 1.86 | 0.09 | 3.63 |
West Darfur | 140.06 | 138.63 | 141.49 | 9.02 | 4.90 | 13.14 | 7.58 | 3.66 | 11.50 | 1.34 | 0.19 | 2.50 |
West Kordofan | 138.76 | 137.01 | 140.51 | 11.99 | 6.42 | 17.57 | 9.94 | 4.09 | 15.78 | 1.91 | 0.14 | 3.67 |
White Nile | 141.99 | 140.40 | 143.58 | 7.97 | 2.71 | 13.22 | 6.34 | 1.05 | 11.64 | 1.19 | 0.01 | 2.75 |
Sudan | 141.44 | 139.66 | 143.21 | 9.50 | 4.90 | 14.09 | 7.63 | 2.69 | 12.56 | 1.76 | 0.01 | 3.62 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Abu-Manga, M.; Al-Jawaldeh, A.; Qureshi, A.B.; Ali, A.M.E.; Pizzol, D.; Dureab, F. Nutrition Assessment of Under-Five Children in Sudan: Tracking the Achievement of the Global Nutrition Targets. Children 2021, 8, 363. https://doi.org/10.3390/children8050363
Abu-Manga M, Al-Jawaldeh A, Qureshi AB, Ali AME, Pizzol D, Dureab F. Nutrition Assessment of Under-Five Children in Sudan: Tracking the Achievement of the Global Nutrition Targets. Children. 2021; 8(5):363. https://doi.org/10.3390/children8050363
Chicago/Turabian StyleAbu-Manga, Mohamed, Ayoub Al-Jawaldeh, Abdul Baseer Qureshi, Amira M. Elmunier Ali, Damiano Pizzol, and Fekri Dureab. 2021. "Nutrition Assessment of Under-Five Children in Sudan: Tracking the Achievement of the Global Nutrition Targets" Children 8, no. 5: 363. https://doi.org/10.3390/children8050363
APA StyleAbu-Manga, M., Al-Jawaldeh, A., Qureshi, A. B., Ali, A. M. E., Pizzol, D., & Dureab, F. (2021). Nutrition Assessment of Under-Five Children in Sudan: Tracking the Achievement of the Global Nutrition Targets. Children, 8(5), 363. https://doi.org/10.3390/children8050363