Literature DB >> 29982172

Is mid-upper arm circumference in Dutch children useful in identifying obesity?

Henk Talma1, Paula van Dommelen2, Joachim J Schweizer3, Boudewijn Bakker4, Joana E Kist-van Holthe1, J Mai M Chinapaw1, Remy A Hirasing1.   

Abstract

BACKGROUND: Mid-upper arm circumference (MUAC) is suggested as being a valid measure in detecting overweight/obesity in children and adolescents, due to the strong relation with weight. We examined this relation and compared MUAC to body mass index (BMI) according to the International Obesity Task Force (IOTF) in children.
METHODS: Anthropometric data including MUAC were collected in 2009 by trained healthcare professionals in the context of the fifth Dutch Nationwide Growth Study, in a sample of 6167 children (2891 boys and 3276 girls) aged 2-18 years of Dutch origin. We propose MUAC SDS cut-off values for overweight and obesity, and compared MUAC with BMI IOTF in sex-specific and age-specific categories (2-5, 6-11, 12-18 years).
RESULTS: The area under the curve is used as a measure of diagnostic accuracy; the explained variance (R²) is good to excellent (0.88-0.94). Sensitivity ranges from 51.8% to 95.3% and specificity from 71.4% to 93.8%. Across age and gender groups, 65.1% to 89.0% participants are classified by both MUAC and BMI as normal weight, overweight or obese. We constructed three equations to predict weight using MUAC, with small differences between observed and predicted weight with an explained variance ranging from 0.88 to 0.94.
CONCLUSIONS: Compared with BMI, MUAC is a valid measure for detecting overweight and obesity and thus a good alternative for BMI. When weight has to be estimated, it can be accurately predicted using MUAC. Based on our observations, we recommend developing diagrams with international (IOTF) cut-offs for MUAC SDS similar to BMI. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  adolescent health; comm child health; epidemiology; health services research; obesity

Mesh:

Year:  2018        PMID: 29982172     DOI: 10.1136/archdischild-2017-313528

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  7 in total

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Authors:  Carin A Northuis; Thomas A Murray; Pamela L Lutsey; Kenneth R Butler; Steve Nguyen; Priya Palta; Kamakshi Lakshminarayan
Journal:  Blood Press Monit       Date:  2022-02-01       Impact factor: 1.430

2.  Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables.

Authors:  Carlos Magno Sousa; Ewaldo Santana; Marcus Vinicius Lopes; Guilherme Lima; Luana Azoubel; Érika Carneiro; Allan Kardec Barros; Nilviane Pires
Journal:  Int J Environ Res Public Health       Date:  2019-08-17       Impact factor: 3.390

3.  Large mid-upper arm circumference is associated with metabolic syndrome in middle-aged and elderly individuals: a community-based study.

Authors:  Jie Shi; Zhen Yang; Yixin Niu; Weiwei Zhang; Xiaoyong Li; Hongmei Zhang; Ning Lin; Hongxia Gu; Jie Wen; Guang Ning; Li Qin; Qing Su
Journal:  BMC Endocr Disord       Date:  2020-06-03       Impact factor: 2.763

4.  Use of Mid-Upper Arm Circumference (MUAC) to Predict Malnutrition among Sri Lankan Schoolchildren.

Authors:  Chisa Shinsugi; Deepa Gunasekara; Hidemi Takimoto
Journal:  Nutrients       Date:  2020-01-07       Impact factor: 5.717

5.  Diagnostic performance of mid-upper arm circumference to identify overweight and obesity in children and adolescents: a protocol for a systematic review and meta-analysis.

Authors:  Binyam Girma Sisay; Hamid Yimam Hassen; Seifu Hagos Gebreyesus
Journal:  BMJ Open       Date:  2021-03-31       Impact factor: 2.692

6.  Mid upper arm circumference as screening tool of overweight or obesity among adult employees of Mizan Tepi University, Southwest Ethiopia.

Authors:  Rahel Dereje; Abel Girma; Abebaw Molla; Asnake Simieneh
Journal:  Heliyon       Date:  2022-09-28

7.  Double burden of malnutrition among Indian schoolchildren and its measurement: a cross-sectional study in a single school.

Authors:  Subhashchandra Daga; Sameer Mhatre; Abhiram Kasbe; Eric Dsouza
Journal:  BMJ Paediatr Open       Date:  2020-02-02
  7 in total

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