Archives of Public Health | |
Relationship between mid upper arm circumference and weight changes in children aged 6–59 months | |
Paul Binns1  Nancy Dale5  Monsurul Hoq2  Chrissy Banda3  Mark Myatt4  | |
[1] Valid International, Oxford, UK | |
[2] Terre des hommes, Dhaka, Bangladesh | |
[3] Valid International, Lilongwe, Malawi | |
[4] Brixton Health, Llawryglyn, UK | |
[5] University of Tampere, Tampere, Finland | |
关键词: Weight gain; MUAC gain; SAM; Severe acute malnutrition; MUAC; Mid upper arm circumference; CMAM; Community-based management of acute malnutrition; | |
Others : 1234988 DOI : 10.1186/s13690-015-0103-y |
|
received in 2015-06-18, accepted in 2015-10-05, 发布年份 2015 | |
【 摘 要 】
Background
The objectives of this study were to (i) describe the relationship between weight changes and MUAC changes in children aged between 6 and 59 months during treatment for SAM in CMAM programmes in three country contexts (Malawi, Ethiopia and Bangladesh) admitted using MUAC and (ii) describe the sensitivity of both MUAC and weight to episodes of disease experienced during the SAM treatment episodes in CMAM programmes in three country contexts (Malawi, Ethiopia and Bangladesh) admitted using MUAC.
Methods
Data collected under research conditions in Malawi were analysed for the correlation between MUAC and weight changes using the Pearson product–moment correlation coefficient (Pearson’s r). Further data from other CMAM programmes implemented under field conditions in Ethiopia and Bangladesh were similarly analysed. The association of growth failure following recent episodes of illness were assessed for MUAC and weight change using a two-by-two table, box-plots and Kruskal Wallis non-parametric rank sum test.
Results
MUAC and weight gain acheived over the entire treatment episode were strongly correlated in all three country contexts, Ethiopia (median Pearson's r = 0.816, 95 % CI = 0.782 - 0.845), Malawi (median Pearson's r = 0.843, 95 % CI = 0.802 - 0.876) and Bangladesh (median Pearson's r = 0.725, 95 % CI = 0.663 - 0.777). MUAC and weight changes at each outpatient visit were closely correlated (median Pearson’s r = 0.954, 95 % CI = 0.602 – 0.997) under research conditions. The field data from Ethiopia and Bangladesh showed similar correlation (median Pearson’s r = 0.945, 95 % CI = 0.685 – 0.998) and (median Pearson’s r = 0.939, 95 % CI = 0.705 – 0.994) respectively. MUAC and weight appear to respond rapidly and similarly to episodes of illness reported during outpatient treatment for SAM for MUAC, diarrhoea RR = 1.88 (95 % CI = 1.64 - 2.15), vomiting RR = 1.89 (95 % CI = 1.58 - 2.26), fever RR = 1.57 (95 % CI = 1.36 - 1.82) and cough1.42 (95 % CI = 1.22 - 1.65). Similar relative risks are seen for weight; diarrhoea RR = 2.03 (95 % CI = 1.77 - 2.31), vomiting RR = 2.09 (95 % CI = 1.77 - 2.47), fever RR = 1.76 (95 % CI = 1.53 - 2.03) and cough RR = 1.25 (95 % CI = 1.06 - 1.48).
Conclusions
This study demonstrates a close relationship between MUAC and weight change during recovery from SAM under both research and operational field conditions. Furthermore, changes in both MUAC and weight are observed to occur similarly and rapidly during episodes of illness occurring during treatment with no lag effect on the part of MUAC. This presents the possibility for children undergoing outpatient treatment for SAM to be monitored using MUAC as an alternative to weight. Further research would be required to develop a tool which can be deployed safely and enable MUAC to be used as the sole anthropometric measure for admission, monitoring of recovery and discharge. This development would potentially allow the further decentralisation of the treatment of SAM thus improving programme coverage and child survival.
【 授权许可】
2015 Binns et al.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20151226013736606.pdf | 1588KB | download | |
Fig.9. | 23KB | Image | download |
Fig.8. | 24KB | Image | download |
Fig. 7. | 49KB | Image | download |
Fig. 6. | 13KB | Image | download |
Fig. 5. | 29KB | Image | download |
Fig. 4. | 28KB | Image | download |
Fig. 3. | 30KB | Image | download |
Fig. 2. | 21KB | Image | download |
Fig. 1. | 18KB | Image | download |
【 图 表 】
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig.8.
Fig.9.
【 参考文献 】
- [1]World Health Organization, United Nations Children’s Fund, United Nations Standing Committee on Nutrition WHO, UNICEF, and SCN Informal Consultation on Community-Based Management of Severe Malnutrition in Children. (2006). Available:. http://www.who.int/nutrition/publications/severemalnutrition/FNB_0379-5721.pdf webcite
- [2]World Health Organization Guideline: Updates on the management of severe acute malnutrition in infants and children. (2013) Available:. http://www.who.int/nutrition/publications/guidelines/updates_management_SAM_infantandchildren/en/ webcite
- [3]Binns P, Dale NM, et al. Safety of MUAC as a discharge criterion in children aged 6 – 59 months. 2014. Available:. http://www.fantaproject.org/research/cmam-discharge-criteria webcite
- [4]Somasse YE, Dramaix M, et al.: Relapse from acute malnutrition in a community-based management program in Burkina-Faso. Ann Nutr Metab 2013, 63(suppl 1):1-1960.
- [5]Harmonised Training Package: Management of Severe Acute Malnutrition United Nations Standing Committee on Nutrition. (2011). Available:. http://www.unscn.org/en/gnc_htp/modul.php?modID=18 webcite
- [6]World Health Organization: Guidelines for an Integrated Approach to the Nutritional Care of HIV-Infected Children (6 Months-14 Years). (2009). Available:. http://www.who.int/nutrition/publications/hivaids/9789241597524/en/ webcite
- [7]A consultation of operational agencies and academic specialists on MUAC and WHZ as indicators of SAM. Field Exchange 45, May 2013.. www.ennonline.net/fex/45/consultation webcite
- [8]Ministry of Health, Government of Malawi. Interim Guidelines for Management of Acute Malnutrition through Community-based Therapeutic Care. Malawi National Guidelines. (2006).
- [9]EpiData: Lauritsen JM. (Ed.) EpiData Data Entry, Data Management and basic Statistical Analysis System. (2000 – 2008). Odense Denmark, EpiData Association, Available. http://www.epidata.dk webcite
- [10]SPSS (2009) SPSS Inc. Released 2009. PASW Statistics for Windows, Version 18.0. Chicago: SPSS Inc. Available:. http://www-01.ibm.com/software/analytics/spss/products/statistics/downloads.html webcite
- [11]R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing. (2014). Vienna, Austria.
- [12]Pearson, K. "Notes on regression and inheritance in the case of two parents," Proceedings of the Royal Society of London, 1895. 58: 240–242.
- [13]Mwangome MK, Fegan G, Prentice AM: Berkley JA Are diagnostic criteria for acute malnutrition affected by hydration status in hospitalized children? A repeated measures study. Nutrition Journal 2011, 10(1):92. BioMed Central Full Text