scholarly journals The Influence of Maternal Obesity on Pregnancy Complications and Neonatal Outcomes in Diabetic and Nondiabetic Women

2018 ◽  
Vol 78 (04) ◽  
pp. 400-406 ◽  
Author(s):  
Burcu Timur ◽  
Hakan Timur ◽  
Aytekin Tokmak ◽  
Hatice Isik ◽  
Elif Eyi
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Regression Analysis ◽  
Body Mass ◽  
Pregnancy Complications ◽  
Diabetic Group ◽  
Neonatal Outcomes ◽  
Control Group ◽  
Multivariable Logistic Regression Analysis ◽  
Gestational Weight

Abstract Introduction This study aimed to investigate the influence of obesity on pregnancy complications and neonatal outcomes in diabetic and nondiabetic women. Materials and Methods This retrospective case control study was conducted on 1193 pregnant women and their neonates at a tertiary level maternity hospital between March 2007 and 2011. The pregnant women were classified into 2 groups according to the presence of diabetes mellitus. Six hundred and seven patients with gestational diabetes or pregestational diabetes formed the diabetic group (study group) and 586 patients were in the nondiabetic group (control group). Demographic characteristics, body mass index, gestational weight gain, obstetric history, smoking status, type of delivery, gestational ages, pregnancy complications, neonatal outcomes were recorded for each patient. Multivariable logistic regression analysis was performed to evaluate the effect of obesity and diabetes on the pregnancy complications and neonatal outcomes. Results The mean age and pre-pregnancy body mass indices of women with diabetes mellitus were significantly higher than the control groupʼs (p < 0.001). Gestational weight gain and number of smokers were similar among the groups. Multiparity and obesity were more prevalent in the diabetic group compared to controls (both p < 0.001). Although gestational age at birth was earlier in the diabetic group, birth weights were higher in this group than in the control group (both p < 0.001). Cesarean delivery rates, the incidence of macrosomia, and neonatal intensive care unit admission rates were significantly higher in the diabetes group both with normal and increased body mass index (all p < 0.001). However, adverse pregnancy outcomes were comparable between the groups (p = 0.279). Multivariable logistic regression analysis showed that obesity is a significant risk factor for pregnancy complications (OR = 1.772 [95% CI, 1.283 – 2.449], p = 0.001) but not for adverse neonatal outcomes (OR = 1.068 [95% CI, 0.683 – 1.669], p = 0.773). Conclusion While obesity increases risk of developing a pregnancy complication, diabetes worsens neonatal outcomes.

The Effect of Gestational Weight Gain by Body Mass Index on Maternal and Neonatal Outcomes

2009 ◽  
Vol 31 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Joan M.G. Crane ◽  
Joanne White ◽  
Phil Murphy ◽  
Lorraine Burrage ◽  
Donna Hutchens
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Neonatal Outcomes ◽  
Gestational Weight ◽  
Maternal And Neonatal Outcomes

scholarly journals Effect of prepregnancy body mass index and gestational weight gain on obstetric and neonatal outcomes – A pilot study

1970 ◽  
Vol 10 (3) ◽  
pp. 195-199
Author(s):  
N Nazlima ◽  
B Fatema
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Normal Weight ◽  
Neonatal Outcomes ◽  
Obese Women ◽  
Gestational Weight ◽  
Prepregnancy Body Mass Index ◽  
Maternal And Neonatal Outcomes

Objectives: The study was undertaken to explore the effects of prepregnancy body mass index (BMI) and excess weight gain on maternal and neonatal outcomes different maternal and neonatal outcomes. Methods: Obstetrics records of 496 singleton pregnant women delivered between 2007 and 2009 in IBN SINA Medical College Hospital were reviewed. On the basis of BMI on their first visit the patients were divided into 3 groups; Mat BMI Gr 1, normal (BMI 20–24.9 Kg/m<sup>2</sup>, n=366), Mat BMI Gr 2, overweight (BMI 25-29.9 Kg/m<sup>2</sup>, n=102), Mat BMI Gr 3, obese (BMI >30 Kg/m<sup>2</sup>, n=28). On the basis of gestational weight gain, the subject divided into 2 categories, Gets WtGain Gr A, gestational weight gain 8–15.9 Kg (n=315), Gest WtGain Gr B, gestational weight gain >16 Kg weight gain (n=181). Data were expressed as number (percentage). Proportion test was performed for comparison between two groups. P value <0.05 was taken as level of significance. Results: of the total 496 pregnant women 74.59% were between 19-34 years of age. Among all the women 64.11% had high school education of different grade. Of all the pregnancies 23.18% were nulliparous. Of the total 496 women 366 (79.79%) were normal weight, 102 (20.56%) overweight and 28 (5.64%) obese. Obese women group had significantly higher proportion of hypertensive cases compared to the normal weight (p<0.001) and overweight (p<0.01) group. Relatively higher proportion of macrosomia, birth trauma, shoulder dystocia and NICU admission among babies of obese women (p=ns). One hundred and eighty one (36.49%) of study subjects had gestational weight gain above the cut-off (>16 kg) value (p<0.001). Women with weight gain bout the cut-off level had relatively higher proportion of macrosomic babies (p=ns). Conclusions: The data reconfirmed that obesity is associated with hypertension. Significant proportion of women had weight gain more than cut-off value which needs to be addressed to ensure sound maternal and fetal wellbeing. However, a multicentre large scale study is warranted which may help the researchers to conclusively comment on the issue and thus plan future strategies for health care during pregnancy. Key words: Pre-pregnancy body mass index, gestational weight gain, obstetrics outcomes. DOI: http://dx.doi.org/10.3329/bjms.v10i3.8364 BJMS 2011; 10(3): 195-199

scholarly journals Pre-pregnancy body mass index classification and gestational weight gain on neonatal outcomes in adolescent mothers: A follow-up study

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200361 ◽  
Author(s):  
Reyna Sámano ◽  
Gabriela Chico-Barba ◽  
Hugo Martínez-Rojano ◽  
Estela Godínez ◽  
Ana Lilia Rodríguez-Ventura ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Adolescent Mothers ◽  
Neonatal Outcomes ◽  
Gestational Weight ◽  
Follow Up Study ◽  
Body Mass Index Classification

276: The effects of gestational weight gain by body mass index on obstetric and neonatal outcomes

2007 ◽  
Vol 197 (6) ◽  
pp. S88 ◽  
Author(s):  
Joan Crane ◽  
Joanne White ◽  
Donna Hutchens ◽  
Lorraine Burrage ◽  
Phillip Murphy
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Neonatal Outcomes ◽  
Gestational Weight

scholarly journals A Comparison of the Changes in Gestational Weight, Body Mass Index, and Serum Vitamin D Level in Gestational Diabetes Mellitus Patients Complemented with Vitamin D in Contrast to Those Who Did Not Receive the Supplement: A Protocol for Systematic Review and Meta-Analysis of Randomised Controlled Trials

2019 ◽  
Vol 25 (3-4) ◽  
pp. 74-79 ◽  
Author(s):  
Sumanta Saha ◽  
Sujata Saha
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Body Mass Index ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Body Mass ◽  
Meta Analysis ◽  
Gestational Weight ◽  
Statistical Heterogeneity

<b><i>Aims:</i></b> To date, it is largely unknown how body mass index (BMI), gestational weight (GW), and stored vitamin D (25(OH)D) levels change in the vitamin D-supplemented gestational diabetes mellitus (GDM) patients, irrespective of their pre-pregnancy BMI. Therefore, to study this association, a prospective systematic review and meta-analysis protocol is proposed here. <b><i>Methods:</i></b> Primarily, different databases (PubMed, Embase and Scopus) will be searched (without any limitation to date or language) for randomised parallel-arm trials comparing GW, BMI and stored vitamin D level in the body among GDM patients who were supplemented and not supplemented with vitamin D, besides their conventional GDM care. The study selection process and the consecutive risk of bias assessment will adhere to the PRISMA 2009 flow chart and the Cochrane collaboration’s guideline, respectively. These interventions’ effect on the respective outcomes will be compared by meta-analysis (along with an assessment of the statistical heterogeneity) when comparable data will be available from at least 4 studies. Subgroup analysis and Egger’s meta-regression will follow if an adequate number of trials are available. Narrative reporting will be considered when a quantitative comparison is not feasible for any of the outcomes. <b><i>Conclusion:</i></b> The proposed review aims to compare the BMI, GW, and 25(OH)D levels in the blood between the vitamin D supplemented and not supplemented GDM patients.

scholarly journals Correlation between metabolic controls and changes in retina in patients having diabetes

2014 ◽  
Vol 67 (1-2) ◽  
pp. 49-54 ◽  
Author(s):  
Mirjana Janicijevic-Petrovic ◽  
Biljana Veljkovic ◽  
Katarina Janicijevic ◽  
Tatjana Sarenac-Vulovic
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Hemoglobin A1c ◽  
Glycosylated Hemoglobin ◽  
Statistical Correlation ◽  
Control Group ◽  
Duration Of Disease ◽  
Glycosylated Hemoglobin A1c ◽  
Experimental Group

Introduction. Diabetes mellitus is as old as the human race. Retinopathy, being one of complications of diabetes mellitus, is the most common cause of blindness. This study was aimed at analyzing the correlation between retinopathy and duration of disease, metabolic control, and obesity. Material and Methods. The study sample consisted of 135 patients divided into the experimental group of 90 patients with retinopathy and the control group of 45 patients without retinopathy. The patients were examined according to standard protocols: anamneses, endocrinology, ophthalmology exams, biochemical analyses, and anthropometric measurements. Results. The average age of patients was 60.13 ? 9.29 in the experimental group, while it was 57.55 ? 4.85 in the control group. The average duration of disease was 11.71 ? 5.8 and 14.40 ? 7.68 in the control group experimental group, respectively. The following statistically essential differences between the control and experimental group were found: in duration of disease (11.71 ? 5.85; 14.40 ? 7.68; r = 0.000), in glycemia (7.02 ? 2.20; 8.34 ? 3.18; p = 0.000), in glycosylated hemoglobin A1C (HbA1C) (7.16 ? 1.37; 8.22 ? 2.05; r = 0.000), in triglycerides (1.92 ? 0.72; 2.63 ? 1.60; r = 0.001), and in body mass index (23.94 ? 2.65; 27.66 ? 15.13; r = 0.000). Conclusion. There is a positive correlation between duration of disease, glycosylated hemoglobin A1C, triglycerides, body mass index - obesity and retinopathy. A significant statistical correlation among those parameters has been found in patients with diabetic retinopathy.

Abstract T P158: Prolonged Atrial Electrical Mechanical Delay on Echocardiography in Patients With Cryptogenic Stroke

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Dae-Hyun Kim ◽  
Seong-HO Choi ◽  
Jong-Seong Park ◽  
Hyun-Wook Nagh ◽  
Jae-Kwan Cha
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Body Mass ◽  
Cryptogenic Stroke ◽  
Control Group ◽  
Lower Body ◽  
Stroke Group

Backgrounds and Purpose: One quarter of strokes are cryptogenic, and subclinical atrial fibrillation may be a common etiologic factor. Prolonged atrial electrical-mechanical delay was known as a predictor of paroxysmal atrial fibrillation (AF). We evaluated whether the prevalence of prolonged atrial electrical-mechanical delay suggesting the presence of atrial substrates for paroxysmal AF may be higher in patients with cryptogenic stroke. Methods: We retrospectively reviewed data from patients with ischemic stroke who were admitted to our hospital between January 2011 and December 2012, and selected patients with cryptogenic stroke who underwent echocardiography. Patients who underwent echocardiography for health care examination were enrolled in control group. Age, sex and underlying risk factors were matched in two groups. Atrial electrical-mechanical delay (PA interval) was defined as the time interval (msec) from the initiation of P wave on surface electrocardiogram to the initiation of trans-mitral inflow on pulse wave Doppler echocardiogram during late diastole. Clinical significance of PA interval was evaluated. Results: Total 130 patients in cryptogenic stroke group and 130 persons in control group were enrolled. Mean age was 63 ± 11 years and 176 (68%) were male. The PR interval (178 ± 27 vs. 165 ± 27 msec, p < 0.0001) and PA interval (74 ± 15 vs. 61 ± 13 msec, p < 0.0001) were longer in cryptogenic stroke patients. The body mass index (23 ± 3 vs. 24 ± 3, p = 0.043) was lower and mitral E/E’ ratio (8.8 ± 3.0 vs. 8.0 ± 2.6 msec, p < 0.0001) was higher in cryptogenic stroke group. Prolonged PR (OR: 1.019, CI: 1.009 - 1.029, p < 0.0001) and PA (OR: 1.068, CI: 1.045 - 1.093, p < 0.0001) intervals, and lower body mass index (OR: 0.919, CI: 0.846 - 0.998) were risk factors for cryptogenic stroke in univariate logistic regression analysis. Prolonged PA (OR: 1.060, CI: 1.035 - 1.086, p < 0.0001) and PR (OR: 1.019, CI: 1.004 - 1.034, p = 0.011) intervals, and lower body mass index (OR: 0.845, CI: 0.764 - 0.935, p = 0.001) were risk factors for cryptogenic stroke in multivariate logistic regression analysis. Conclusion: The prevalence of prolonged atrial electrical-mechanical delay suggesting atrial substrates for paroxysmal AF was higher in patients with cryptogenic stroke.

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