scholarly journals Do obese women without comorbid conditions need a growth ultrasound during pregnancy?

2022 ◽  
Vol 226 (1) ◽  
pp. S571
Madeline Wetterhahn ◽  
Kathleen M. Antony ◽  
Brad Bosse ◽  
Jacquelyn H. Adams
2008 ◽  
Vol 41 (14) ◽  
pp. 27

Habib Yarizadeh ◽  
Leila Setayesh ◽  
Caroline Roberts ◽  
Mir Saeed Yekaninejad ◽  
Khadijeh Mirzaei

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

2013 ◽  
Renee T. Degener ◽  
Melissa H. Laitner ◽  
Danielle M. Lespinasse ◽  
Kristen E. Medina ◽  
Stacey N. Maurer ◽  

1987 ◽  
Vol 57 (03) ◽  
pp. 326-328 ◽  
Ph Vague ◽  
I Juhan-Vague ◽  
M C Alessi ◽  
C Badier ◽  
J Valadier

SummaryWe have previously observed a positive correlation between Plasminogen Activator Inhibition capacity (PA Inhibition), Body Mass Index (BMI) and plasma insulin levels in a population of non diabetic subjects. The anti diabetic biguanide Metformin which decreases insulin resistance has been reported to increase the blood fibrinolytic activity. Therefore we have studied the effect of Metformin on PA Inhibition levels in obese subjects with normal glucose tolerance. Eighteen obese women (O) (BMI: 31.4 ± 1.13, m ± S.E.M.) were compared to age matched controls (C) (BMI: 20.2 ± 0.8) and randomized to a 15 days treatment by Metformin (M) (1.7 g/day) or placebo (P) in a double blind study while on a weight maintaining diet. O compared to C had higher levels (m ± S.E.M.) of PA Inhibition (9 ± 1.8 IU/ml, versus 2.88 ± 0.29 p <0.01), lower euglobulin fibrinolytic activity (EFA) (4.95 ±1.17 mm versus 9 ± 0.29 p <0.05), higher plasma insulin (24.1 ±2.1. uU/ml), versus 12 ± 1 p <0.01) and triglyceride (1.32 ± 0.16 mmol/1, versus 0.8 ± 0.08 p <0.05). After 15 days of treatment, in group M a significant decrease in PA Inhibition (5.51 ± 1.4, versus 9.48 ±2.1 p <0.05) in plasma insulin (18.5 ±0.1, versus 24.5 ± 3.5, p <0.05) and plasma triglyceride (1.08 ± 0.1, versus 1.47 ± 0.3 p <0.05) and an increase in EFA (6.50 ± 0.28, versus 5.25 ± 0.35 p <0.05) were observed. No significant variation was observed in group P.

2020 ◽  
Vol 10 (1) ◽  
pp. 5-7
Muhammad Naveed Noor

This commentary foregrounds the need to examine how the coronavirus disease 2019 (COVID-19) pandemic and associated conditions may be affecting the lives of people living with HIV (PLWH) in a developing country context like Pakistan. It raises some important questions on medical care and updated information regarding PLWH in the time of COVID-19. Since PLWH are at an increased risk of developing comorbid conditions – something that makes them more vulnerable to COVID-19 – it is critical that timely research and evidence-based actions are undertaken to protect their health.

10.32947/357 ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 1-10

Thirty three infertile women were divided into two groups according to their BMI (21 obese and 12 overweight) there age ranges between (16-41) years, with their husbands twenty one infertile men and twelve fertile men and their ages range between (23-46) years. In the present study we observed that several indicators affect the fertility such as BMI in infertile obese women which was 34.65 kg/m2. That is higher than that of overweight infertile women that recorded 24.87 kg/m2. obese housewives scored the highest percentage (85.71%) compared with the overweight group (25%), In addition the obese age group between 30-41 years scored (66.67%) compared with the overweight group whose members’ age 16-29.9 years scored 75%. However, drinking cola (soft drink) percentage in obese infertile women was (85.71%) and the tea consumption was higher in overweight group (66.67%). The hormones FSH and LH decrease in obese women but serum prolactin hormone increased twice about 29.27 ng/ml in comparison with overweight group. Testosterone hormone decreased in obese women but Leptin in obese women (19.52 μg/L) was higher than that of overweight women (11.03 μg/L). Infertile unemployed men got the highest percentage of 66.67%. Besides, the smoker infertile men were higher in percentage (80.95%) compared with fertile men 41.67%. The elevated LH, FSH and prolactin values are significantly high (p<0.01) (7.895 mlU/ml, 9.89 mlU/ml and 13.33 ng/ml) respectively, but the testosterone was significantly low (3.91 ng/dl) in comparison with fertile men(21.76ng/dl). Whileleptin significantly increased in infertile men more than the fertile ones. These changes in hormones have a great correlation with semen characteristics as the abnormalities in sperms increased to (64.52) and the percentage of rapid, progressive and non -progressive motility decreased, but the immotile motility was highly significant (65.71) in infertile men. As a result this indicates that the reason of infertility is shared between the wife and husband.

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