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Fig 1.

Flowchart of recruitment of study participants at Hoa Binh Province General Hospital, Vietnam.

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Table 1.

Demographic and clinical characteristics of the study participants (N = 485).

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Fig 2.

Receiver operating characteristic (ROC) curves for anthropometric measures as diagnostic tools for predicting each outcome, and areas under each curve (AUC).

Top row: ROC curves for anthropometric measures as predictors of low birth weight (<2500g). Middle row: ROC curves for anthropometric measures as predictors of prematurity (<37 weeks according to the New Ballard Score). Bottom row: ROC curves for anthropometric measures as predictors of low birth weight and prematurity. The solid diagonal line represents a theoretical ROC curve that is no better than random as a predictor of the outcome; the dashed horizontal line represents the required threshold sensitivity of 0.8.

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Table 2.

Sensitivity, specificity, and positive and negative predictive values of optimal cut-points1 for each outcome and anthropometric measure.

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Fig 3.

Scatter plots of anthropometric measurements taken at day 1 of life against measurements taken at day 5 of life (n = 200).

The line of best fit and the correlation coefficient (r) are also shown. All measurements are in centimetres.

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Table 3.

Comparison of anthropometric measures at days 1 and 5 of life, in a subset of newborns remeasured on day 5 (N = 200).

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Table 3 Expand