# Accuracy of actual weight measurement using upper arm circumference in South Sulawesi ethnics
> Citrakesumasari C.

URL kanonis: https://discover.unhas.ac.id/publications/accuracy-of-actual-weight-measurement-using-upper-arm-circumference-in-south-sul
Jurnal / Konferensi: Open Access Macedonian Journal of Medical Sciences
Tahun terbit: 2020
DOI: https://doi.org/10.3889/oamjms.2020.5235
ISSN: 18579655
Citations: 0

## Authors
- Citrakesumasari C.

## Abstract
BACKGROUND: Assessment of nutritional status in hospital patients is important to do. However, due to the patient’s condition, the measurement must use an estimation formula. This study wanted to know the accuracy of the measurement of body weight from the formula commonly used in hospitals. AIM: This study wants to see how accurate the actual body weight predictions are based on measurements of UAC in the ethnics in the province of South Sulawesi. METHODS: The design of this study was cross-sectional. The population of this study was young adults aged 20–29 years. Number of sample is 896 respondents. Sampling consists of 2 stages, namely sample area and research sample. The sampling used was systematic random sampling. The sample size in this study was calculated using the Stanley Lemeshow formula. RESULTS: The results showed that the formula used to predict the patient’s weight, if the formula is calculated using the formula 100% Patient Upper Arm Circumference (PUAC), it is suitable for ethnic Bugis and Mandar male. The formula 90% PUAC is suitable for ethnic Bugis and Mandar and male ethnic Makassarese and Toraja. The formula 85% is suitable for women for all ethnicities. CONCLUSION: It can be concluded that the accuracy of measuring body weight depends on gender and ethnicity, so it is expected that health practitioners in the hospital can adjust the use of formulas according to gender and ethnicity.

## Keywords
- Medicine
- Ethnic group
- Circumference
- Body weight
- Sample (material)
- Sample size determination
- Demography
- Sampling (signal processing)
- Population
- Statistics
- Gerontology
- Environmental health
- Mathematics
- Internal medicine
- Anthropology
- Chemistry
- Sociology
- Chromatography
- Geometry
- Filter (signal processing)
- Computer science
- Computer vision

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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