scholarly journals Anthropometrical measurements and maternal visceral fat during first half of pregnancy: a cross-sectional survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Daniela Cortés Kretzer ◽  
Salete Matos ◽  
Lisia Von Diemen ◽  
José Antônio de Azevedo Magalhães ◽  
Alice Carvalhal Schöffel ◽  
...  

Abstract Background 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.

2020 ◽  
Author(s):  
Daniela Cortés Kretzer ◽  
Salete Matos ◽  
Lisia Von Diemen ◽  
José Antônio de Azevedo Magalhães ◽  
Alice Carvalhal Schöffel ◽  
...  

Abstract Background 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 26.22kg/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. Conclusion 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.


2020 ◽  
Author(s):  
Daniela Cortés Kretzer ◽  
Salete Matos ◽  
Lisia Von Diemen ◽  
José Antônio de Azevedo Magalhães ◽  
Alice Carvalhal Schöffel ◽  
...  

Abstract Background: 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 26.22kg/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.Conclusion: 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.


2019 ◽  
Author(s):  
Daniela Cortez Kretzer ◽  
Salete Matos ◽  
Lisia Von Diemen ◽  
José Antônio de Azevedo Magalhães ◽  
Alexandre da Silva Rocha ◽  
...  

Abstract 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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adeniyi Francis Fagbamigbe ◽  
A. Olalekan Uthman ◽  
Latifat Ibisomi

AbstractSeveral studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.


2021 ◽  
Vol 8 (1) ◽  
pp. 205510292098844
Author(s):  
Bao-Yen Luong-Thanh ◽  
Lan Hoang Nguyen ◽  
Linda Murray ◽  
Manuel Eisner ◽  
Sara Valdebenito ◽  
...  

To date, little attention has been given to prenatal depression, especially in low and middle-income countries. The aim of this research was to assess the prevalence of depression and its associated factors amongst pregnant women in a central Vietnamese city. This cross-sectional study included 150 pregnant women from 29 to 40 weeks of gestation, from eight wards of Hue city, via quota sampling from February to May 2019. We employed the Patient Health Questionnaire (PHQ-9) to assess depression. Findings suggest the need to provide routine screening of pregnant women in primary care for depressive symptoms and other mental health problems.


2020 ◽  
Vol 8 (T2) ◽  
pp. 188-191
Author(s):  
Nurul Husnul Lail ◽  
Rizanda Machmud ◽  
Adnil Edwin ◽  
Yusrawati Yusrawati ◽  
Anwar Mallongi

BACKGROUND: Mental illness or mental health problems during pregnancy in low- and middle-income countries are very high; the average prevalence reaches 15.6%. Subsequent research was conducted by Indian in the Jakarta and Bogor regions in the period January–June 2018 regarding the incidence of perinatal depression by 23.6% in the Bogor. AIM: This study aimed to evaluate the mental illness or mental health problems during pregnancy in low- and middle-income countries. METHODS: This research is qualitative research. This research was conducted in January–June 2019 in the Bogor independent practice midwife. Informants in the study came from the East Jakarta Health Office, Chair of the Indonesian Midwives Association, Head of the Health Center, Coordinating Midwives, Pregnant Women and husbands, and families of pregnant women. Data are analyzed by Regression Logistic. RESULTS: Construction model mental health of mothers during pregnancy in independent practice midwives is very important and needs attention. Pregnancy is still considered a physical change that needs to be intervened because it is easier to handle and easily detects it. Maternal examination during pregnancy is carried out by midwives, in the implementation of mental health checks during pregnancy for pregnant women, this role has not all been carried out optimally. CONCLUSION: This research suggests conducting socialization with midwives as well as across-related sectors to get political support in carrying out activities in health facilities and independent practice midwives.


2020 ◽  
Vol 1 ◽  
Author(s):  
Chloe R. McDonald ◽  
Andrea M. Weckman ◽  
Julie K. Wright ◽  
Andrea L. Conroy ◽  
Kevin C. Kain

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