Gender differences in the relationship between body mass index (BMI) changes and the prevalence and severity of wheezing and asthma in the first year of life

2015 ◽  
Vol 43 (6) ◽  
pp. 562-567 ◽  
Author(s):  
G.F. Wandalsen ◽  
L.V. Borges ◽  
N. Barroso ◽  
R. Rota ◽  
F. Suano ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Gender Differences ◽  
Body Mass ◽  
First Year ◽  
First Year Of Life ◽  
The Relationship

Gender differences in the relationship between blood pressure and body mass index during adolescence

2015 ◽  
Vol 9 (2) ◽  
pp. 141-151 ◽  
Author(s):  
Noritaka Kawada ◽  
Kaori Nakanishi ◽  
Tohru Ohama ◽  
Makoto Nishida ◽  
Keiko Yamauchi-Takihara ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Gender Differences ◽  
Body Mass ◽  
The Relationship

scholarly journals Maternal body mass index, neonatal lung function and respiratory symptoms in childhood

2015 ◽  
Vol 46 (5) ◽  
pp. 1342-1349 ◽  
Author(s):  
Jacobien B. Eising ◽  
Cuno S.P.M. Uiterwaal ◽  
Cornelis K. van der Ent
Keyword(s):  
Body Mass Index ◽  
Lung Function ◽  
Body Mass ◽  
Maternal Obesity ◽  
First Year ◽  
Maternal Body Mass Index ◽  
Maternal Body ◽  
Increased Risk ◽  
Neonatal Lung ◽  
First Year Of Life

Recent studies have shown that maternal obesity is associated with increased risk of wheezing in the offspring. We assessed whether impaired neonatal lung function could explain this association.We measured neonatal lung function in 2606 children of our prospective birth cohort. Information about daily symptoms of wheezing was obtained using questionnaires. Consultations and prescriptions for wheezing illnesses were derived from general practitioner patient files.Higher maternal body mass index (BMI) was associated with increased risk of wheezing in the first year of life and more consultations and prescriptions for wheezing illnesses until the age of 5 years. Lung function could partially explain the association with wheezing in the first year of life. Adding respiratory resistance to the model decreased the incidence rate ratio from 1.023 (95% CI 1.008–1.039) to 1.015 (95% CI 0.998–1.032). Anthropometrics of the 5-year-olds largely explained the association with consultations. Intermediates or confounders could not explain the association with prescriptions.There is an association between higher maternal BMI and increased risk of wheezing illnesses. In the first year of life, it is largely explained by an impaired lung function in early life, especially in children of nonatopic mothers. At the age of 5 years, infant lung function is of minor influence in this association.

Gender differences in the relationship between percent body fat (%BF) and body mass index (BMI) in Japanese children

2007 ◽  
Vol 78 (1) ◽  
pp. 123-125 ◽  
Author(s):  
Aya Morimoto ◽  
Rimei Nishimura ◽  
Hironari Sano ◽  
Toru Matsudaira ◽  
Yumi Miyashita ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Gender Differences ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat ◽  
Japanese Children ◽  
The Relationship

scholarly journals Infant's Growth Throught the First Year of Life and Maternal Pre-Pregnancy Body Mass Index

2011 ◽  
Vol 70 ◽  
pp. 842-842
Author(s):  
E Verduci ◽  
G Radaelli ◽  
E Salvatici ◽  
C Paramitiotti ◽  
E Riva ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
First Year ◽  
First Year Of Life ◽  
Infant’S Growth

scholarly journals Pre-pregnancy parental BMI and offspring blood pressure in infancy

2019 ◽  
Vol 26 (15) ◽  
pp. 1581-1590 ◽  
Author(s):  
Maria Adriana Cornelia Jansen ◽  
Geertje W Dalmeijer ◽  
Siti RF Saldi ◽  
Diederick E Grobbee ◽  
Mohammad Baharuddin ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
First Year ◽  
Maternal Body Mass Index ◽  
Middle Income ◽  
Oscillometric Device ◽  
First Year Of Life ◽  
The Impact

Aims A growing body of evidence suggests that a higher maternal pre-pregnancy body mass index results in higher offspring’s blood pressure, but there is inconsistency about the impact of father’s body mass index. Furthermore, evidence is limited with regard to low and middle income countries. We aimed to determine the association between parental pre-pregnancy body mass index and offspring’s blood pressure during the first year of life. Methods In 587 infants of the BReastfeeding Attitude and Volume Optimization (BRAVO) trial systolic and diastolic blood pressure were measured twice at the right leg in a supine position, using an automatic oscillometric device at day 7, month 1, 2, 4, 6, 9 and 12. Parental pre-pregnancy body mass index was based on self-reported weight and height. Linear mixed models were performed to investigate the associations between parental pre-pregnancy body mass index and offspring blood pressure patterns. Results Each unit increase in maternal body mass index was associated with 0.24 mmHg (95% confidence interval 0.05; 0.44) and 0.13 mmHg (0.01; 0.25) higher offspring’s mean systolic and diastolic blood pressure, respectively, during the first year of life. A higher offspring blood pressure with increased maternal pre-pregnancy body mass index was seen at birth and remained higher during the first year of life. The association with systolic blood pressure remained similar after including birth size and offspring’s weight and height over time. The association with diastolic blood pressure attenuated slightly to a non-significant result after including these variables. Paternal body mass index was not associated with offspring’s blood pressure. Conclusion Higher maternal pre-pregnancy body mass index, but not paternal pre-pregnancy body mass index, is associated with higher offspring blood pressure already from birth onwards.

Body mass index trajectories during the first year of life and their determining factors

2019 ◽  
Vol 31 (1) ◽  
Author(s):  
Junxiu Liu ◽  
Jihong Liu ◽  
Edward A. Frongillo ◽  
Nansi S. Boghossian ◽  
Bo Cai ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
First Year ◽  
Determining Factors ◽  
First Year Of Life ◽  
Body Mass Index Trajectories

Relationship between Leptin Concentration in Cord Blood and Foetal Growth and Maternal Anthropometry of GDM Mothers at Delivery

1970 ◽  
Vol 25 (1) ◽  
pp. 9-13
Author(s):  
S Jahan ◽  
TR Das ◽  
KB Biswas
Keyword(s):  
Body Mass Index ◽  
Birth Weight ◽  
Cord Blood ◽  
Body Mass ◽  
Anthropometric Measurements ◽  
Anthropometric Parameters ◽  
Serum Leptin ◽  
C Peptide ◽  
Cord Serum ◽  
The Relationship

Background and Aims: Cord blood leptin may reflect the leptinemic status of a newborn at birth more accurately than the leptin values of blood collected from other sites. The present study was undertaken to determine the relationship of cord serum leptin concentration at birth with neonatal and maternal anthropometric parameters. Materials and Methods: Blood was taken from the umbilical cord of the babies at delivery. Maternal anthropometric measurements were recorded at admission for delivery. Neonatal anthropometric measurements were recorded within 48 hours after delivery. Linear regression analysis was used to explore the relationship between cord serum leptin concentration and anthropometric parameters of the baby and the mother. Both Serum leptin and serum C-peptide levels were measured by chemiluminescence-based ELISA method. Results: The leptin concentration (ng/ml, mean±SD) in cord blood was 39.13±14.44. Cord leptin levels correlated with birth weight (r=0.673, p<0.0001), ponderal index (r=0.732, p<0.0001) but it did not correlate with maternal body mass index, gestational age (r=0.135, p=0.349) at delivery or cord serum C-peptide concentration (r=-0.049, p=0.735) or placental weight (r=0.203, p=0.157). Conclusion: There are associations between cord leptin concentration at delivery and birth weight, ponderal index (PI) of the babies but not body mass index (BMI) of the mothers. High leptin levels of the baby could represent an important feedback modulator of substrate supply and subsequently for adipose tissue status during late gestation. (J Bangladesh Coll Phys Surg 2007; 25 : 9-13)

scholarly journals Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
High Systolic Blood Pressure ◽  
Television Time ◽  
The Relationship ◽  
Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

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