Study regarding the identification of the anthropometric data of children born premature

Abstract

The paper presents the one-dimensional statistical processing of anthropometric data following a study carried out in the period 2014-2018, within a neonatal therapy ward at the "Gheorghe Paladi" Municipal Clinical Hospital in Chisinau, Republic of Moldova, with a volume of 505 subjects. Medical records were analyzed from which data were taken that were later used as basic variables in the research: body mass (Mc), body length (Lc), head circumference (Pc), chest circumference (Pt). The analysis of the anthropometric data was carried out by means of the SPSS specialized statistical data processing program [1]. Based on the interpretation of the values of the statistical parameters, certain conclusions can be made regarding the dimensional characteristics of the clothing products that meet the functional requirements specific to this group of wearers. From the previously presented data, it can be seen that each anthropometric indicator changes its value depending on the growth and development of prematurely born children. This fact proves to us that the clothing products to be designed must take into account the degree of prematurity of the group of wearers and be functionally and ergonomically adapted to meet the needs and requirements of these wearers. Following the results obtained, through the statistical analysis of the data, the following aspects can be highlighted: the obtained values of the anthropometric indicators used can serve as initial data for the design of the proposed clothing products.