[Influence of socioeconomic factors on weight, length and head circumference measurements in newborns from 35 to 42 weeks gestational age].

BACKGROUND AND OBJECTIVE

gestational age and anthropometric measurements, i.e. weight, length and head circumference at birth, have all been used as predictors of neonatal morbidity-mortality and adult morbidity. Differences in ethnic or socioeconomic background of newborn cohorts, as well as methodological differences between studies limit the validity and application of current anthropometric curves across different populations. Thus, we conducted a study to obtain local reference data in a Hospital that had a medium-high socio-economic class population, probably different to others recently published in our geographic area, and to compare them.

PATIENTS AND METHOD

Weight, length and head circumference at birth were retrospectively analysed in 31,397 live Caucasian neonates born at 23-42 weeks in SCIAS-Hospital de Barcelona between 1992 and 2006. Only single gestations were selected and no other exclusion by materno-fetal or neonatal pathology criteria were applied. Percentile values, mean and standard deviation for each anthropometric measurement were calculated according to gestational age and gender. They were compared with the results from recent publications of our geographic area.

RESULTS

Males were found to have significantly higher weight, length and head circumference values than females from 36 weeks. There was a trend towards higher values in our population when compared with others in our geographic area.

CONCLUSIONS

The influence of socioeconomic factors on fetal growth seems evident. Nevertheless, it is difficult to assume that the observed differences must be exclusively due to the population characteristics or the different methodologies in the selection of the sample. Thus, it is desirable to have anthropometric reference curves obtained from populations of surrounding areas, with epidemiological methodologies that might be more appropriate in identifying valid outcome predictors, and enable us to compare with others groups according to racial, socioeconomic and disease factors.