Pruszkowska-Przybylska Paulina, Sitek Aneta, Rosset Iwona, Żądzińska Elżbieta, Sobalska-Kwapis Marta, Słomka Marcin, Strapagiel Dominik
Department of Anthropology, Faculty of Biology and Environmental Protection, University of Łódź, 90-237, Poland.
Biological Anthropology and Comparative Anatomy Research Unit, School of Medicine, The University of Adelaide, South Australia, 5005, Australia.
Anthropol Anz. 2019 Nov 8;76(5):409-419. doi: 10.1127/anthranz/2019/0955.
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. 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). Higher fat mass (FM) (%) was connected with shorter duration of breastfeeding (< 2 months and lower SES ( < 0.05). Lower muscle mass (MM) (%) was linked with lower SES ( < 0.05) and lower birth weight ( < 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 ( < 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). Body composition can be linked with the duration of breastfeeding, SES, parental age, birth weight and birth length.
我们旨在找出儿童身体成分异常的简单决定因素,如社会经济地位(SES)、母乳喂养时长、父母年龄和出生参数。最终数据集包含469名健康的青春期前个体(247名女孩和222名男孩)。我们研究了体重、身高以及身体成分参数,如肌肉量和脂肪量。出生参数和胎龄从父母持有的儿童病历中获取,这些病历由医务人员在孩子出生后立即填写。关于社会经济地位(SES)、母乳喂养时长和父母年龄的信息通过问卷调查获得。统计方法包括向前多元回归和广义线性模型(GLZ)或一般线性模型(GLM)。较高的脂肪量(FM)(%)与较短的母乳喂养时长(<2个月)和较低的社会经济地位(<0.05)相关。较低的肌肉量(MM)(%)与较低的社会经济地位(<0.05)和较低的出生体重(<0.05)相关。较高的体重指数(BMI)与较高的出生体重(p<0.05)、较短的母乳喂养时长(<2个月)和较低的社会经济地位(<0.05)相关。此外,在脂肪量(FM)(%)方面观察到了交互作用(母乳喂养×社会经济地位;母乳喂养×父母年龄)以及在体重指数(BMI)方面(母乳喂养×父亲年龄)。身体成分可能与母乳喂养时长、社会经济地位、父母年龄、出生体重和出生身长有关。