Background Prenatal care is fundamental for achieving good results in the outcome of pregnancy, however, the coverage in Brazil is still low. In the impossibility of pre-gestational weight measure and subsequent body mass index (BMI) values, the others anthropometric measurements are useful and may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. The aim of this study was to assess the anthropometrical measurements during pregnancy and compared it to maternal ultrasound visceral adipose tissue.
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 skin folds – TSF and subscapular skin folds – SBSF), and ultrasound variables (visceral adipose tissue – VAT and total adipose tissue – TAT) were collected. To verify the correlation of anthropometric and ultrasound measurements, non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.
Results Among the 149 pregnant women, 54.8% (n=80) were white race. The age median was 25 years [21 - 31], pre-pregnancy BMI was 26.22kg/m 2 [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, being anthropometric measurements with a higher correlation than pre-pregnancy BMI.
Conclusion It is possible to provide a practical and reliable estimate of VAT and TAT from anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in outpatient clinic environment, especially in low- and middle-income countries.
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On 14 Sep, 2020
On 14 Sep, 2020
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Posted 21 Oct, 2019
On 28 May, 2020
Received 04 Dec, 2019
On 26 Nov, 2019
Invitations sent on 21 Nov, 2019
On 21 Nov, 2019
On 31 Oct, 2019
On 15 Oct, 2019
On 15 Oct, 2019
On 02 Oct, 2019
On 14 Sep, 2020
On 14 Sep, 2020
On 08 Sep, 2020
On 19 Aug, 2020
Received 19 Aug, 2020
Invitations sent on 17 Aug, 2020
On 22 Jul, 2020
On 21 Jul, 2020
On 21 Jul, 2020
Posted 21 Oct, 2019
On 28 May, 2020
Received 04 Dec, 2019
On 26 Nov, 2019
Invitations sent on 21 Nov, 2019
On 21 Nov, 2019
On 31 Oct, 2019
On 15 Oct, 2019
On 15 Oct, 2019
On 02 Oct, 2019
Background Prenatal care is fundamental for achieving good results in the outcome of pregnancy, however, the coverage in Brazil is still low. In the impossibility of pre-gestational weight measure and subsequent body mass index (BMI) values, the others anthropometric measurements are useful and may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. The aim of this study was to assess the anthropometrical measurements during pregnancy and compared it to maternal ultrasound visceral adipose tissue.
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 skin folds – TSF and subscapular skin folds – SBSF), and ultrasound variables (visceral adipose tissue – VAT and total adipose tissue – TAT) were collected. To verify the correlation of anthropometric and ultrasound measurements, non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.
Results Among the 149 pregnant women, 54.8% (n=80) were white race. The age median was 25 years [21 - 31], pre-pregnancy BMI was 26.22kg/m 2 [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, being anthropometric measurements with a higher correlation than pre-pregnancy BMI.
Conclusion It is possible to provide a practical and reliable estimate of VAT and TAT from anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in outpatient clinic environment, especially in low- and middle-income countries.
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