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dc.contributor.authorKretzer, Daniela Cortéspt_BR
dc.contributor.authorMatos, Salete dept_BR
dc.contributor.authorDiemen, Lisia vonpt_BR
dc.contributor.authorMagalhães, Jose Antonio de Azevedopt_BR
dc.contributor.authorSchöffel, Alice Carvalhalpt_BR
dc.contributor.authorGoldani, Marcelo Zubaranpt_BR
dc.contributor.authorRocha, Alexandre da Silvapt_BR
dc.contributor.authorBernardi, Juliana Rombaldipt_BR
dc.date.accessioned2020-12-24T04:20:43Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn1471-2393pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/216844pt_BR
dc.description.abstractBackground: Determining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound. Methods: A cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference [MUAC], circumferences of calf and neck and triceps skinfolds [TSF] and subscapular skinfolds [SBSF]), and ultrasound variables (visceral adipose tissue [VAT] and total adipose tissue [TAT]) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees. Results: The age median of the 149 pregnant women was 25 years [21–31], pre-pregnancy BMI was 26.22 kg/m² [22.16–31.21] and gestational age was 16.2 weeks [13.05–18.10]. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI. Conclusions: It is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofBMC Pregnancy and Childbirth. London. Vol. 20 (2020), 576, 7 p.pt_BR
dc.rightsOpen Accessen
dc.subjectAnthropometryen
dc.subjectAntropometriapt_BR
dc.subjectPregnant womenen
dc.subjectÍndice de massa corporalpt_BR
dc.subjectMid-upper arm circumferenceen
dc.subjectGravidezpt_BR
dc.subjectMulherespt_BR
dc.subjectBody mass indexen
dc.subjectGordura intra-abdominalpt_BR
dc.titleAnthropometrical measurements and maternal visceral fat during first half of pregnancy : a cross-sectional surveypt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001120028pt_BR
dc.type.originEstrangeiropt_BR


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