The relationship between birth weight, and arm and chest circumference in Egypt

A Low-Cost Tool for Traditional Birth Attendants to Identify Low-Birth-Weight Infants

One of the most important strategies in health development is inter-sectoral collaboration. This study is an example of collaboration between a medical doctor and an animal-production scientist to develop an easy, low-cost, rapid method for the assessment of birth weight. In developing countries where neonatal and infant mortality are high, birth weight could be a useful measure for identifying high-rise; neonates who need special attention. However, weighing a newborn is often not possible because more than three-fourths of deliveries take place at home. Most are attended by village midwives or traditional birth attendants who do not have weighing scales. Our study in the Wad Medani teaching hospital showed that chest circumference is the best predictor of birth weight (R2 82%, corresponding to a correlation coefficient of .91). A tape was developed with chest circumference measurements corresponding to predicted birth weights. The tape is coloured so that it can be used by illiterate midwives. Both the midwives and their instructors in the midwifery school found this method easy to learn and use.

Sex, Conception Interval, Gestational Age, Apgar Score, and Anthropometric Surrogates in relation to Birth Weight of Bangladeshi Newborns: A Cross-Sectional Study

In developing countries, where about 75% of births occur at home or in the community, logistic problems prevent the weighing of every newborn child. Baby born with a weight less than 2,500 g is considered low birth weight, since below this value birth-specific infant mortality begins to rise rapidly. In Bangladesh, the prevalence of low birth weight is unacceptably high. Infant's sex differences, birth to conception interval, gestational age, and Apgar score are associated with infant birth weight. To screen low-birth-weight babies, simple anthropometric parameters can be used in rural areas where 80–90% of deliveries take place. A sample of 343 newborn singletons, 186 male and 157 female babies, were studied in Southwest region of Bangladesh to examine the birth weight status of newborns and to identify the relationship between birth weight and other anthropometric parameters of newborns. The mean birth weight was 2754.81±465.57 g, and 28.6% were low-birth-weight (<2,500 g) babies. All key anthropometric parameters of the newborns significantly correlated with infant birth weight (P=0.05). Mid upper arm circumference and chest circumference were identified as the optimal surrogate indicators of LBW babies. In the community where weighing of newborns is difficult, these measurements can be used to identify the LBW babies.

A low cost, colour coded, hand held spring scale accurately categorises birth weight in low resource settings

AIMS

To determine the accuracy of a low cost, spring calibrated, hand held scale in classifying newborns into three weight categories (> or =2500 g, 2000-2499 g, <2000 g).

METHODS

The test device was compared to a gold standard digital baby scale with precision to 2 g. In Sarlahi district, Nepal, 1890 newborns were eligible for the study. Measurements were collected for both the test device and the digital scale from 1820 (96.3%) newborns.

RESULTS

The overall low birth weight (LBW) prevalence rate for the gold standard digital scale was 28.1% (511/1820). Sensitivity (93.7%) and specificity (97.6%) of the test device was high compared to LBW classifications based on digital weight measurements. Classification of infants into the <2000 g category was 5.0% and 4.7% for the gold standard and test device, respectively. Sensitivity and specificity of the test device in identifying infants <2000 g was 87.8% and 99.6%, respectively. Positive predictive values were high (>91%) for both weight categories

CONCLUSIONS

This low cost, simple-to-use device classified infants into weight categories with a high degree of consistency and accuracy that exceeds that of surrogate measures. This new device is useful for identifying and targeting life saving interventions for LBW, high risk infants in settings where infants are born in the home and conventional weighing scales are unavailable.

Trunk anthropometry of Hong Kong Chinese infants

BACKGROUND

Disturbed growth of the trunk may result in abnormal sternocostal relationship and a variety of pectus deformities.

AIMS

The purposes of this study were to establish norms of trunk anthropometry for dysmorphology identification in the newborns and to evaluate chest circumference as a predictor for low birth weight for outborn infants where weighing scales were unavailable.

STUDY DESIGN AND SUBJECTS

A total of 10,339 Chinese infants (5478 males, 4861 females) with gestation 24-42 weeks from 12 hospitals were included. The anthropometric measurements analyzed included chest circumference, inter-nipple distance, sternal length and abdominal circumference.

OUTCOME MEASURES

The LMS method using maximum penalized likelihood was used to perform model fitting of the anthropometric centiles for these physical parameters.

RESULTS

References tables of the four physical parameters for newborns were constructed. Chest circumference showed the highest correlation with birth weight (male: r = 0.866, female: r = 0.883). The cut-off points for chest circumference of 295 (male) and 299 mm (female) were the best predictor for low birth weight. There were also racial differences in these parameters. When compared with French infants, Chinese newborns had smaller chest circumference.

CONCLUSION

These physical parameters provide useful references and aid dysmorphology diagnosis in newborns of ethnic Chinese origin.

Development of a practical screening tool to identify preterm, low-birthweight neonates in Ethiopia

Preterm, low-birthweight (LBW) newborn infants are at high risk of neonatal mortality and morbidity and need early referral for special paediatric care. In developing countries, birthweight and gestational age often cannot be measured and a practical screening tool based on surrogate neonatal body measurements to identify high-risk infants would be very useful. We studied a consecutive series of 843 singleton infants born at a referral hospital in Addis Ababa, Ethiopia. Gestational age, birthweight, and four body measurements (chest, head, and mid-arm circumferences and length) were accurately recorded. We randomly divided the series into equal-sized training and validation groups. In the training group, we used a recursive partitioning technique to develop a simple predictive algorithm--infants were classified as high risk if head circumference was 31 cm or less or if chest circumference was 30 cm or less, and were classified as low risk otherwise. When tested in the validation group, this algorithm had sensitivity, specificity, and negative predictive value for prediction of preterm and LBW births above 90%. Thus, neonatal body measurements can be combined into a pragmatic, accurate screening tool suitable for clinical use in developing countries.