A Study of Surrogate Parameters of Birth Weight

Kadam, YR; Somaiya, Poorvi; Kakade, Satish V.

doi:10.4103/0970-0218.42857

Cited by 8 publications

(9 citation statements)

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“…Anthropometric measurements have been found to be reliable in identifying LBW. However, studies show that the measure of choice and its cut-off point is dependent on the context [10,14-16], therefore the need to conduct area specific studies. Previous studies show that more work has been done for other anthropometric measurements like HC, CC, TC and MUAC than for foot length as a predictor of LBW.…”

Section: Discussionmentioning

confidence: 99%

“…Generally studies show that choice of a suitable anthropometric measure is context-specific. Various studies recommend using specific measures including head circumference [9], chest circumference [8,13], mid upper arm circumference [14,15], thigh circumference [10,16], foot length [17] and calf circumference [12,18] as the most appropriate. Even where the same measure was recommended the cut-off points varied for different contexts e.g.…”

Section: Introductionmentioning

confidence: 99%

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Determining an anthropometric surrogate measure for identifying low birth weight babies in Uganda: a hospital-based cross sectional study

2013

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BackgroundAchieving Millennium Development Goal 4 is dependent on significantly reducing neonatal mortality. Low birth weight is an underlying factor in most neonatal deaths. In developing countries the missed opportunity for providing life saving care is mainly a result of failure to identify low birth weight newborns. This study aimed at identifying a reliable anthropometric measurement for screening low birth weight and determining an operational cut-off point in the Uganda setting. This simple measurement is required because of lack of weighing scales in the community, and sometimes in the health facilities.MethodsThis was a hospital-based cross-sectional study. Two midwives weighed 706 newborns and measured their foot length, head, chest, thigh and mid-upper arm circumferences within 24 hours after birth.Data was analysed using STATA version 10.0. Correlation with birth weight using Pearson’s correlation coefficient and Receiver Operating Characteristics curve analysis were done to determine the measure that best predicts birth weight. Sensitivity and specificity were calculated for a range of measures to obtain operational cut-off points; and Likelihood Ratios and Diagnostic Odds Ratio were determined for each cut-off point.ResultsBirth weights ranged from 1370–5350 grams with a mean of 3050 grams (SD 0.53) and 85 (12%) babies weighed less than 2500 grams. All anthropometric measurements had a positive correlation with birth weight, with foot length showing the strongest (r = 0.76) and thigh circumference the weakest (r = 0.62) correlations. Foot length had the highest predictive value for low birth weight (AUC = 0.97) followed by mid-upper arm circumference (AUC = 0.94). Foot length and chest circumference had the highest sensitivity (94%) and specificity (90%) respectively for screening low birth weight babies at the selected cut-off points. Chest circumference had a significantly higher positive likelihood ratio (8.7) than any other measure, and foot length had the lowest negative likelihood ratio. Chest circumference and foot length had diagnostic odds ratios of 97% and 77% respectively. Foot length was easier to measure and it involved minimal exposure of the baby to cold. A cut-off of foot length 7.9 cm had sensitivity of 94% and specificity of 83% for predicting low birth weight.ConclusionsThis study suggests foot length as the most appropriate predictor for low birth weight in comparison to chest, head, mid-upper arm and thigh circumference in the Uganda setting. Use of low cost and easy to use tools to identify low birth weight babies by village health teams could support community efforts to save newborns.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining an anthropometric surrogate measure for identifying low birth weight babies in Uganda: a hospital-based cross sectional study

2013

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“…Many previous studies showed that the anthropometric measurements like Head circumference, Chest circumference, Thigh circumference and Mid upper arm circumference and foot length can be used as a predictor of LBW. Most of these studies concluded that foot length and chest circumference were better predictors of birth weight as compared to other measures but cut offs were different based on geographical area of study [11,12,13].…”

Section: Discussionmentioning

confidence: 99%

Anthropometric measurements– a study on options for identification of small babies in need of extra care

priya¹,

Dwivedi²,

Anushadipti³

et al. 2019

Int J Pediatr Res

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Introduction:A large number of babies born in India and many developing countries are born at home and majority of them have no access to scales or other means by which they can be identified as LBW. The aim of our study was to determine the correlation of chest circumference and foot length with birth weight and gestational age and to determine the most sensitive and specific cut-off values for detection of Low birth weight and preterm babies using foot length and chest circumference. Methods: This was a prospective observational study done at a tertiary care centre in south India. We analyzed 1000 newborn babies within 24 hours of birth. For each baby we measured 1. chest circumference (CHC), 2. Foot length (FL), 3. Weight (BW) and 4. Gestational age (GA). Babies were classified according to GA (preterm/term) and BW (kg) as Very Low Birth Weight (VLBW) (<1.5kg), Low Birth Weight (LBW) (1.5-2.5kg) and Normal Birth Weight (NBW) (>2.5kg). Results: Significant positive correlation of 0.921 was found between FL and BW (p<0.001). The two ROC curves for FL and CHC were close to each with AUC 0.982 and 0.969 respectively and difference in the areas was statistically significant (Z = 4.303, p < 0.0001) which suggested that FL was better indicator of BW. FL <= 6.4cm predicts VLBW; between 6.4cm and 7.3cm predicts LBW and > 7.3cm predicts NBW. For estimating preterm birth FL cut off was <=7.1cm. Conclusion: FL and CHC both can be used as predictor for BW and GA estimation and FL was more appropriate than CHC considering its ease of measurement also. Screening of babies who are in need of extra care can be done using our cut off values and this can help in reducing neonatal mortality by early referrals.

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“…Studies are lacking in this particular area even though many studies are there showing correlation with birth weight. [4][5][6][7][8][9][10][11][12][13][14] We trialed the BMI cutoff points at 11, 12, 13 for the anthropometric surrogates and compared their efficacy as provided in Table 2. This was done with proof from other studies, where their mean BMI ranged from 11 to 13.…”

Section: Discussionmentioning

confidence: 99%

“…These studies showed that the Mid Arm circumference, Chest circumference and head circumference correlated well with birth weight. [4][5][6][7][8][9][10][11][12][13][14] A study done by Brock RS, charted BMI for newborns according to the gestational age and the mean BMI in term neonates were found to be 13.25±1.11. 15 It also validated BMI as a good tool for accessing nutrition.…”

Section: Introductionmentioning

confidence: 99%

Body mass index values for term newborns and its correlation with other anthropometric surrogates

Kamalammal

Rao

Parameaswari³

2016

Int J Contemp Pediatr

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A Study of Surrogate Parameters of Birth Weight

Cited by 8 publications

References 0 publications

Determining an anthropometric surrogate measure for identifying low birth weight babies in Uganda: a hospital-based cross sectional study

Determining an anthropometric surrogate measure for identifying low birth weight babies in Uganda: a hospital-based cross sectional study

Anthropometric measurements– a study on options for identification of small babies in need of extra care

Body mass index values for term newborns and its correlation with other anthropometric surrogates

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