Comparison of anthropometric data quality in children aged 6-23 and 24-59 months: lessons from population-representative surveys from humanitarian settings

被引:0
作者
Oleg Bilukha
Alexia Couture
Kelly McCain
Eva Leidman
机构
[1] Centers for Disease Control,Emergency Response and Recovery Branch, Division of Global Health Protection, Center for Global Health
[2] Emory University,Rollins School of Public Health
来源
BMC Nutrition | / 6卷
关键词
Anthropometry; Age group; Data quality; Survey; Humanitarian;
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[1]  
Grellety E(2018)Change in quality of malnutrition surveys between 1986 and 2015 Emerg Themes Epidemiol 15 8-448
[2]  
Golden MH(2013)Impact of instrument error on the estimated prevalence of overweight and obesity in population-based surveys BMC Public Health 13 146-315
[3]  
Biehl A(2007)Standard deviation of anthropometric Z-scores as a data quality assessment tool using the 2006 WHO growth standards: a cross country analysis Bull World Health Organ 85 441-946
[4]  
Hovengen R(2018)Use and misuse of stunting as a measure of child health J Nutr 148 311-undefined
[5]  
Meyer HE(1999)Anthropometric measurement error and the assessment of nutritional status Br J Nutr 82 165-undefined
[6]  
Mei Z(2011)An algorithm to assess methodological quality of nutrition and mortality cross-sectional surveys: development and application to surveys conducted in Darfur, Sudan Popul Health Metrics 9 57-undefined
[7]  
Grummer-Strawn LM(1995)Assessment of blood pressure measurement quality in the baseline surveys of the WHO MONICA project J Hum Hypertens 9 935-undefined
[8]  
Perumal N(2016)Is middle-upper arm circumference “normally” distributed? Secondary data analysis of 852 nutrition surveys Emerg Themes Epidemiol 13 7-undefined
[9]  
Bassani DG(undefined)undefined undefined undefined undefined-undefined
[10]  
Roth DE(undefined)undefined undefined undefined undefined-undefined