Anthropometric measurements at birth as predictor of low birth weight

Sajjadian, N; Shajari, Hamideh; Rahimi, Farnoosh; Jahadi, Ramin; Barakat, Michael G.

doi:10.4236/health.2011.312125

Cited by 20 publications

(20 citation statements)

References 13 publications

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“…Few studies 2,[11][12][13] have been done to find out a relationship between the birth weight and anthropometric parameters to predict birth weight. In this study chest circumference showed the high correlation (r=0.752) with abdominal circumference as compared to other anthropometric parameters.…”

Section: Discussionmentioning

confidence: 99%

Correlation of Birth Weight with other Anthropometric Parameters of Newborns in Himachal Pradesh

2017

IJCRR

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Introduction: Birth weight is an important indicator of child survival. Anthropometric measurements of infant body help us to predict their health and future growth. All the health personal working in child health care should be familiar with normal patterns of growth, so that they can recognize any deviations from the normal range and try to deal with the underlying disorders which could be nutritional, socioeconomic or infectious diseases.

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Section: Discussionmentioning

confidence: 99%

Correlation of Birth Weight with other Anthropometric Parameters of Newborns in Himachal Pradesh

2017

IJCRR

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“…A study conducted in 2011 reported that the optimum cut-off point for MUAC/ head circumference ratio is 0.303 [18] which indicate wasting. However, in this study majority (62%) of the neonates had a ratio of ≥0.303.…”

Section: Figure 2: Maternal Haemoglobin Before Delivery (N=202) and Amentioning

confidence: 99%

Effect of Maternal Nutritional Status on Birth Outcome

Gala

Godhia

Nandanwar

2016

IJANHS

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The present cross-sectional descriptive study was conducted to assess the nutritional status, maternal haemoglobin concentration, anthropometric details and its association with neonatal anthropometry. 200 pregnant women aged 18-37 years in the gestational age of 27-41 weeks, without any co-morbidity and having a complete medical record were included in the study. Pregnant women who were in labour in the maternity ward and had visited the tertiary centre in Mumbai for antenatal checkups were enrolled for the study. Predesigned, pretested questionnaire was used to obtain sociodemographic and pregnancy details along with 24-hour dietary recall taken prior to delivery. Maternal and neonatal anthropometry was measured by trained personnel using standardized techniques. Haemoglobin concentration prior to delivery and postpartum, birth weight and length was obtained from the hospital record. Analyses were performed using SPSS software (version 16.0) to determine the effect of nutritional status on birth outcome. P-value <0.05 was considered to be statistically significant. The mean maternal anthropometric details were height-153.13±10.39cm, postpartum weight-57.02±11.57kg, postpartum BMI-24.29±3.54kg/m 2 , haemoglobin concentration prior to delivery-11.19±1.78g/dL and post-partum-9.97±1.68g/dL. The mean neonatal birth weight was 2.77±0.50kg though 22.3% neonates had low birth weight (<2.5kg). The mean neonatal anthropometric details were length-45.72±1.14cm, MUAC-10.48±1.14cm, ponderal index-2.88±0.43g/cm 3 and MUAC/Head circumference-0.31±0.03. However, women (≥28 years) were older (+2.46 years), weighed more both pre-and post-partum and also had a higher interpregnancy interval (+1.3 years) and gravida as compared to women (≤27 years) (p<0.05). Birth outcome was influenced by maternal height, weight, postpartum BMI, haemoglobin levels prior to delivery, gestational age and nutrient intake particularly energy, protein, vitamin C and calcium. Maternal diet prior to pregnancy and during pregnancy along with maternal anthropometry, haemoglobin concentrations prior to delivery and gestational age greatly influences birth outcome. Thus, attention has to be given to nutrition of an adolescent girl by proper nutrition education, pre-pregnancy counseling which will help in better pregnancy outcome.

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“…The anthropometric measurements that have been studied include; body length, foot length, head, chest, thigh, calf and mid-upper arm circumference [8-12]. Generally studies show that choice of a suitable anthropometric measure is context-specific.…”

Section: Introductionmentioning

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%

“…Even where the same measure was recommended the cut-off points varied for different contexts e.g. cut-off for identifying LBW using chest circumference was 30.5 cm in Bangladesh compared to 31.3 cm in Iran [8,19]. There is therefore need for a study to identify the most appropriate anthropometric surrogate for LBW and its cut-off in Uganda.…”

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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Anthropometric measurements at birth as predictor of low birth weight

Abstract: ABSTRACT

Cited by 20 publications

References 13 publications

Correlation of Birth Weight with other Anthropometric Parameters of Newborns in Himachal Pradesh

Correlation of Birth Weight with other Anthropometric Parameters of Newborns in Himachal Pradesh

Effect of Maternal Nutritional Status on Birth Outcome

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

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