Body Mass
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2021 ◽  
Author(s):  
Anne Driscoll ◽  
Elizabeth Gregory

This report presents data on distributions in prepregnancy body mass index, including the three classes of obesity, by maternal race and Hispanic origin for women who gave birth in 2020.


2021 ◽  
Vol 46 ◽  
pp. S622-S623
Author(s):  
A. Ilić ◽  
L. Marić ◽  
M. Bituh ◽  
I. Rumbak ◽  
T. Karlović ◽  
...  

2021 ◽  
Vol 46 ◽  
pp. S592-S593
Author(s):  
O. Deniz ◽  
Z. Kahyaoglu ◽  
M. Guner Oytun ◽  
A. Okyar Bas ◽  
C. Cavusoglu ◽  
...  

2021 ◽  
Vol 46 ◽  
pp. S607
Author(s):  
Y. Wulandari ◽  
F. Witjaksono ◽  
N.R.M. Manikam ◽  
W. Lestari ◽  
L.I. Octovia ◽  
...  

2021 ◽  
Author(s):  
Jong-Kil Kim ◽  
Do-Yeon Kim ◽  
Kwang-Bok Lee

Abstract This study is to investigate the natural metatasophalangeal joint (MTP) distance, the appropriate degree of distraction and the associated factors including age, gender, body mass index(BMI). Regarding natural MTP joint space size, the MTP-2 joint had the largest joint size (2.39 ± 0.37 mm). The MTP-5 joint had the smallest joint size (1.59 ± 0.34 mm). In MTP joint arthroscopy, traction power of 10 lbs is sufficient for appropriate distraction for all MTP joints while traction power of 5 lbs is an appropriate power for distraction of the MTP-2 joint. Manual traction is generally not appropriate for distraction because it is not consistent or sufficient. Less distraction power is required for males than for females, especially for MTP-1, MTP-3, and MTP-4 joints.


2021 ◽  
Author(s):  
Haroon Latif Khan ◽  
Shahzad bhatti ◽  
Humaira Hamayun ◽  
Sana Abbas ◽  
Samina Shuail ◽  
...  

Abstract Background: The body mass index (BMI) affects reproduction and pregnancy outcomes. Infertility is defined as the inability to conceive despite having frequent, unprotected sex for at least one year. The inability to have children affects men and women across the globe.Methods: It was a retrospective study on couples coming for treatment of subfertility in Lahore Institute of Fertility and Endocrinology (LIFE). The institutional ethical review committee approved. Patients are divided into three groups, normal weight (BMI ≤25kg/m²), overweight (26-30 kg/m²), and obese (>30 kg/m²). Data were collected from July 2017 to May 2018. The number of infertile women who underwent assisted fertilization at LIFE was 222.Results: Two hundred and twenty-two sub-fertile patients were selected. Their ages were between 25-36 years. The mean age was 31 ± 3.91 years. There was a significant relationship between the number of follicles and BMI (p-value=0.03). Outcome parameters are significantly correlated with all groups of BMI. Embryo transfer is insignificantly correlated with BMI. (p-value = 0.07)Conclusion: According to this study, obesity is associated with poor embryos in obese women with more than 30 BMI. Furthermore, women who were obese might need a higher dose of FSH, and the live birth rate is higher in women with normal BMI.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Marion Patxot ◽  
Daniel Trejo Banos ◽  
Athanasios Kousathanas ◽  
Etienne J. Orliac ◽  
Sven E. Ojavee ◽  
...  

AbstractWe develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only ≤10% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32–44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having ≥95% probability of contributing ≥0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data.


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