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Katedra Antropologii przy współpracy z naukowcami z Pracowni Biobank Uniwersytetu Łódzkiego oraz Uniwersytetu de Adelaide z Australii przeprowadziła badania, których celem było poszukiwanie uwarunkowań zróżnicowanego składu ciała u dzieci. Analizowano takie parametry jak status społeczno-ekonomiczny (SES), czas karmienia piersią, wiek rodzicielski i parametry urodzeniowe. Uzyskane wyniki przedstawione zostały w artykule The association between socioeconomic status, duration of breastfeeding, parental age and birth parameters with BMI, body fat and muscle mass among prepubertal children in Poland.

 

Artykuł jest dostępny na łamach Anthropologischer Anzeiger (15 pkt. MNiSW; IF = 0.866). Zapraszamy do lektury.

 

 Zapraszamy również do odwiedzenia strony internetowej Pracowni Biobank (http://www.biobank.uni.lodz.pl/)

 

 

Paulina Pruszkowska-Przybylska1, Aneta Sitek1, Iwona Rosset1, Marta Sobalska-Kwapis3,4, Marcin Słomka3,4, Dominik Strapagiel3,4, Elżbieta Żądzińska1,2

1 Department of Anthropology, Faculty of Biology and Environmental Protection, University of Lodz, 90-237, Poland

2 Biological Anthropology and Comparative Anatomy Research Unit, School of Medicine, The University of Adelaide, South Australia, 5005, Australia

3 The Biobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland

4 BBMRI.pl Consortium, Wroclaw, Poland

 

Abstract

Objectives: We aimed to indicate simple determinants of abnormal body composition in children, such as socio-economic status (SES), duration of breastfeeding, parental age and birth parameters. Methods: The final data set consisted of 469 healthy prepubertal individuals (247 girls and 222 boys). We studied body mass, body height, and parameters of body composition such as muscle mass and fat mass. The birth parameters and gestational age were obtained from the children's medical record books held by the parents which were completed by medical personnel immediately following birth. Information about socio-economic status (SES), duration of breastfeeding and parental age was obtained by questionnaire. The statistical methods included forward multiple regression and generalized linear models (GLZ) or general linear model (GLM). Results: Higher fat mass (FM) (%) was connected with shorter duration of breastfeeding (< 2 months and lower SES (p < 0.05). Lower muscle mass (MM) (%) was linked with lower SES (p < 0.05) and lower birth weight (p < 0.05). Higher body mass index (BMI) was connected with higher birth weight (p < 0.05), shorter duration of breastfeeding (< 2 months) and lower SES (p < 0.05). Moreover interaction effects were observed in the case of the FM (%) (breastfeeding x SES; breastfeeding x parental age) and the BMI (breastfeeding x paternal age). Conclusions: Body composition can be linked with the duration of breastfeeding, SES, parental age, birth weight and birth length.