ArticleHeliyon2022
Mid-upper arm circumference and neck circumference to screen for overweight-obesity in young adults in South India.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- The validity of mid-upper arm circumference as an indicator of underweight, overweight and obesity adults in Bangladesh.PloS one · 2025Article
- Relationship between neck circumference and body composition: a cross-sectional study based on a Chinese population.Frontiers in public health · 2025Article
- Association between mid-upper arm circumference and perceived stress in Chinese adults and older adults: a cross-sectional study.Frontiers in public health · 2025Article
- Mid-upper arm circumference predicts the risk of gestational diabetes in early pregnancy.BMC pregnancy and childbirth · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: There are many anthropometric techniques to screen for overweight-obesity like the body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR). These may be difficult or less acceptable in community and outpatient settings. We determine the cut-offs of mid-upper arm circumference (MUAC) and neck-circumference (NC) to screen overweight (BMI ≥25 kg/m Method: ology: We enrolled 282 medical students in South India and performed anthropometry (height, weight, WC, MUAC and NC), bio-impedance analysis (BIA, Inbody 770) to detect PBF. Receiver operator curves were generated and best cut-offs derived using highest Youden Index (sensitivity + specificity-1). Results: Of the 282 participants, 83 (29.4%) were overweight, 113 (38.7%) had abdominal obesity and 186 (66%) had higher PBF. The MUAC cut-off was 31.3cm for men (sensitivity: 86%; specificity: 74%) to detect overweight and 31.2 cm (sensitivity: 85%; specificity: 73%) to detect abdominal obesity. The corresponding cut-offs in women were 28.5 cm (sensitivity:88%; specificity: 83%) to detect overweight and 28.3 cm (sensitivity: 74%; specificity: 92%) for abdominal obesity. For NC, the proposed cut-off in men was 36.6 cm (sensitivity: 81%; specificity: 82%) for overweight and 37.1 cm (sensitivity:78%; specificity:82%) for abdominal obesity. In women, this was 31.4 cm for both overweight as per BMI (sensitivity: 88%; specificity: 71%) and for abdominal obesity (sensitivity: 75%; specificity: 81%). Neck circumference was preferred by 225 (79.8%) participants. Conclusion: Both MUAC and NC can be considered for screening overweight and abdominal obesity with good sensitivity and specificity but their sensitivity and specificity for screening high PFB were not very good. Neck circumference was the most preferred anthropometric method.
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