scholarly journals Associations of Size at Birth and Postnatal Catch-up Growth Status With Clinical and Biomedical Characteristics in Prepubertal Girls With Precocious Adrenarche: Preliminary Results

2014 ◽  
Vol 99 (8) ◽  
pp. 2878-2886 ◽  
Author(s):  
Ahmet Uçar ◽  
Michal Yackobovitch-Gavan ◽  
Oğuz Bülent Erol ◽  
Ensar Yekeler ◽  
Nurçin Saka ◽  
...  

Context: The causes of polycystic ovarian syndrome (PCOS) in girls with precocious adrenarche (PA) remain unclear. Objective: Our goal was to compare the clinical, biochemical, and ultrasound characteristics of girls with PA whose size at birth was appropriate for gestational age (AGA) vs those born small for gestational age (SGA). PCOS-associated metabolic and morphological correlates were examined. Design: Glucose tolerance, ACTH stimulation, and transabdominal ultrasounds were examined in 56 AGA and 31 SGA girls with PA. Bone age and hormonal profiles were determined. SGA girls were divided into 2 groups by catch-up growth (CUG) status. Subgroups were compared. Results: Chronological age, Tanner stage for pubarche, ovarian volume, and uterine volume were similar between the groups. SGA girls had lower body mass index and higher bone age-adjusted post-corticotropin cortisol. We found increased body mass index-adjusted mean serum insulin, reduced insulin sensitivity, and reduced IGF-binding protein-1 in SGA girls. Multicystic ovaries were more common in SGA girls (odds ratio [OR] = 9.69, 95% confidence interval [CI] = 3.34–28.15; P < .001). SGA girls without CUG had a higher incidence of multicystic ovaries than CUG counterparts (OR = 8.4, 95% CI = 1.4–19.3; P = .027). Being born SGA (OR = 43.4, 95% CI = 6.9–84.7; P = .001] and exaggerated 17-hydroxyprogesterone response (OR = 15.8, 95% CI = 1.7–49.8; P = .015) were associated with multicystic ovaries. Conclusions: Significant differences in hormone levels, insulin sensitivity, and ovarian maturity were found in prepubertal girls with PA who were SGA. Longitudinal follow-up will help determine whether these factors contribute to a specific PCOS phenotype in SGA girls with PA.

2006 ◽  
Vol 91 (11) ◽  
pp. 4645-4649 ◽  
Author(s):  
Germán Iñiguez ◽  
Ken Ong ◽  
Rodrigo Bazaes ◽  
Alejandra Avila ◽  
Teresa Salazar ◽  
...  

Abstract Introduction: Insulin resistance (IR) develops as early as age 1 to 3 yr in small for gestational age (SGA) infants who show rapid catch-up postnatal weight gain. In contrast, greater insulin secretion is related to infancy height gains. We hypothesized that IGF-I levels could be differentially related to gains in length and weight and also differentially related to IR and insulin secretion. Methods: In a prospective study of 50 SGA (birth weight < 5th percentile) and 14 normal birth weight [appropriate for gestational age (AGA)] newborns, we measured serum IGF-I levels at birth, 1 yr, and 3 yr. IR (by homeostasis model assessment) and insulin secretion (by short iv glucose tolerance test) were also measured at 1 yr and 3 yr. Results: SGA infants had similar mean length and weight at 3 yr compared with AGA infants. SGA infants had lower IGF-I levels at birth (P < 0.0001), but conversely they had higher IGF-I levels at 3 yr (P = 0.003) than AGA infants. Within the SGA group, at 1 yr IGF-I was associated with length gain from birth and insulin secretion (P < 0.0001); in contrast at 3 yr IGF-I was positively related to weight, body mass index, and IR. Conclusions: IGF-I levels increased rapidly from birth in SGA, but not AGA children. During the key first-year growth period, IGF-I levels were related to β-cell function and longitudinal growth. In contrast, by 3 yr, when catch-up growth was completed, IGF-I levels were related to body mass index and IR, and these higher IGF-I levels in SGA infants might indicate the presence of relative IGF-I resistance.


2016 ◽  
Vol 4 ◽  
pp. 205031211664669 ◽  
Author(s):  
Sormeh Nourbakhsh ◽  
Sepideh Ashrafzadeh ◽  
Ali Hafizi ◽  
Ali Naseh

Objective: To examine the (1) normal ranges of anthropometric and insulin resistance/sensitivity indices (homeostatic model assessment for insulin resistance, homeostatic model assessment for insulin sensitivity, and quantitative insulin sensitivity check index) for Iranian pregnant women and their newborns and (2) associations between maternal anthropometric and metabolic values and infants’ birth weights among Iranian women. Methods: Anthropometric and metabolic values of 163 singleton non-diabetic pregnant women in Tehran, Iran (2014) were collected before and during pregnancy and at delivery. Linear regression, multivariable regression, and Student t tests were used to evaluate correlations between birth weight and maternal variables. Results: Linear regression modeling suggested that maternal serum glucose ( p = 0.2777) and age ( p = 0.6752) were not associated with birth weight. Meanwhile, maternal weight and body mass index before pregnancy ( p = 0.0006 and 0.0204, respectively), weight at delivery ( p = 0.0036), maternal height ( p = 0.0118), and gestational age ( p  = 0.0016) were positively associated with birth weight, while serum insulin ( p = 0.0300) and homeostatic model assessment for insulin resistance ( p = 0.0334) were negatively associated with infant’s birth weight. Using multivariate modeling, we identified severalconfounders: parity (multipara mothers delivered heavier babies compared to first-time mothers) explained as much as 24% of variation in birth weight ( p = 0.005), maternal height explained 20.7% ( p = 0.014), gestational age accounted for 19.7% ( p = 0.027), and maternal body mass index explained 19.1% ( p = 0.023) of the variation in the infant’s birth weight. Maternal serum insulin and infant’s sex were not observed to be associated with birth weight ( p = 0.342 and 0.669, respectively) in the overall model. Conclusion: Overweight/obese women may experience higher incidence of delivering larger babies. Multivariable regression analyses showed that maternal body mass index and height, parity, and gestational age are associated with newborn’s birth weight.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yue Chen ◽  
Ke Wan ◽  
Yunhui Gong ◽  
Xiao Zhang ◽  
Yi Liang ◽  
...  

AbstractThe relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesarean delivery, preterm delivery, stillbirth, macrosomia, and small-for-gestational age (SGA) or large-for-gestational age (LGA) neonates in Southwest China. Furthermore, it explores the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. 51,125 Chinese singleton pregnant women were recruited as study subjects. Multiple logistic regression models were used to examine the influence of pre-pregnancy BMI on adverse pregnancy outcomes. Gradient boosting machine was used to evaluate the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. It is found that women who were overweight or obese before pregnancy are at higher risk of adverse pregnancy outcomes except for SGA neonates, while pre-pregnancy underweight is a protective factor for GDM, preeclampsia, cesarean delivery, macrosomia and LGA, but not SGA. Younger mothers are more susceptible to GDM and macrosomia neonates, while older mothers are more prone to preeclampsia. Pre-pregnancy BMI has more influence on various pregnancy outcomes than maternal age. To improve pregnancy outcomes, normal BMI weight as well as relatively young maternal ages are recommended for women in child-bearing age.


2004 ◽  
Vol 104 (2) ◽  
pp. 286-292 ◽  
Author(s):  
Christine J. Cheng ◽  
Kerry Bommarito ◽  
Akihiko Noguchi ◽  
William Holcomb ◽  
Terry Leet

2010 ◽  
Vol 1 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Amita Pradhan

Objective: To identify factors associated to the nutritional status of under five children.Method: The data used in this analysis are from Demographic and Health Survey 2006 conducted in Nepal. Total 5262 cases are included in the present study. A multinomial logistic regression model is used to study the relation between various factors and nutritional status.Results: Increasing body mass index of mothers and wealth index shows decreasing likelihood of malnutrition among children. Rural children show insignificant higher likelihood of different forms of underweight and wasting as compared to urban area. Frequency of listening radio does not show significant association in case of mild and moderate wasting and shown very high unusual odds ratio in case of severe wasting.  Similarly, lower frequency of watching television also does not show significantly higher likeliness of different form of stunting, underweight and wasting. Female children are more likely to be stunted, underweight and wasted as compared to male. Female headed households are more likely to have moderately and mildly stunted children and mixed results are observed for underweight and wasting. The likelihood for all forms of malnutrition is higher among children with smaller than average size at birth as compared to average or bigger size at birth.  Mixed results are observed regarding likelihood of different forms of malnutrition among children with mothers having different educational level.Conclusion: Body mass index of mothers is found significant variable while explaining children's nutritional status. Similarly, Size at birth is significantly associated with nutrition during the childhood.Keywords: Stunting; wasting; under weight; under five childrenDOI: 10.3126/ajms.v1i1.2927Asian Journal of Medical Sciences Vol.1(1) 2010 p.6-8


2018 ◽  
Vol 120 (4) ◽  
pp. 6441-6448 ◽  
Author(s):  
Negin Rezavand ◽  
Saba Tabarok ◽  
Ziba Rahimi ◽  
Asad Vaisi‐Raygani ◽  
Ehsan Mohammadi ◽  
...  

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