| Title |
Mid-Upper Arm Circumference Based Nutrition Programming: Evidence for a New Approach in Regions with High Burden of Acute Malnutrition
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049320 |
| Pubmed ID | |
| Authors |
Sylvie Goossens, Yodit Bekele, Oliver Yun, Géza Harczi, Marie Ouannes, Susan Shepherd |
| Abstract |
In therapeutic feeding programs (TFP), mid-upper arm circumference (MUAC) shows advantages over weight-for-height Z score (WHZ) and is recommended by the World Health Organization (WHO) as an independent criterion for screening children 6-59 months old. Here we report outcomes and treatment response from a TFP using MUAC ≤118 mm or oedema as sole admission criteria for severe acute malnutrition (SAM). |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 22% |
| Senegal | 1 | 11% |
| Canada | 1 | 11% |
| Bangladesh | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Burkina Faso | 1 | <1% |
| France | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 175 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 41 | 23% |
| Researcher | 24 | 13% |
| Student > Ph. D. Student | 20 | 11% |
| Student > Bachelor | 15 | 8% |
| Student > Postgraduate | 13 | 7% |
| Other | 32 | 18% |
| Unknown | 35 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 29% |
| Nursing and Health Professions | 34 | 19% |
| Agricultural and Biological Sciences | 16 | 9% |
| Social Sciences | 12 | 7% |
| Environmental Science | 4 | 2% |
| Other | 21 | 12% |
| Unknown | 40 | 22% |