This review article by Stanley J. Ulijaszek and Deborah A. Kerr discusses the importance of anthropometric measurement in nutritional assessment and the impact of measurement errors on both the measurement and interpretation of nutritional status. The authors categorize measurement errors into two types: unreliability (imprecision and independability) and inaccuracy (bias). Imprecision, due to observer error, is the most commonly used measure of anthropometric measurement error and can be estimated through repeated measurements on the same subjects. The article provides guidelines for acceptable error levels, emphasizing that reliability (R) should be greater than 0.95 where possible. It also highlights the hierarchy of precision among different anthropometric measures, with weight and height being the most precise, followed by waist and hip circumferences, and skinfolds being the least precise. The authors discuss methods to minimize measurement errors, such as proper training, regular calibration of equipment, and maintaining good working conditions. They also explore how measurement errors can be used to assess the probability that differences in anthropometric measures over time are due to factors other than imprecision. The article concludes by emphasizing the importance of minimizing measurement errors and understanding their impact on the interpretation of anthropometric data.This review article by Stanley J. Ulijaszek and Deborah A. Kerr discusses the importance of anthropometric measurement in nutritional assessment and the impact of measurement errors on both the measurement and interpretation of nutritional status. The authors categorize measurement errors into two types: unreliability (imprecision and independability) and inaccuracy (bias). Imprecision, due to observer error, is the most commonly used measure of anthropometric measurement error and can be estimated through repeated measurements on the same subjects. The article provides guidelines for acceptable error levels, emphasizing that reliability (R) should be greater than 0.95 where possible. It also highlights the hierarchy of precision among different anthropometric measures, with weight and height being the most precise, followed by waist and hip circumferences, and skinfolds being the least precise. The authors discuss methods to minimize measurement errors, such as proper training, regular calibration of equipment, and maintaining good working conditions. They also explore how measurement errors can be used to assess the probability that differences in anthropometric measures over time are due to factors other than imprecision. The article concludes by emphasizing the importance of minimizing measurement errors and understanding their impact on the interpretation of anthropometric data.