Relationship between body mass index, fat distribution and cardiometabolic risk factors in Indian children and adolescents

2012 ◽  
Vol 7 (4) ◽  
pp. E37-E41 ◽  
Author(s):  
R. Jahagirdar ◽  
K. P. Hemchand ◽  
S. A. Chiplonkar ◽  
V. V. Khadilkar ◽  
A. V. Khadilkar
2015 ◽  
Vol 30 (2) ◽  
pp. 160-170 ◽  
Author(s):  
Laura N. Anderson ◽  
Gerald Lebovic ◽  
Jill Hamilton ◽  
Anthony J. Hanley ◽  
Brian W. McCrindle ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.


2018 ◽  
Vol Volume 11 ◽  
pp. 241-253 ◽  
Author(s):  
Somlak Vanavanan ◽  
Pornpen Srisawasdi ◽  
Mana Rochanawutanon ◽  
Nalinee Kumproa ◽  
Khanat Kruthkul ◽  
...  

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261351
Author(s):  
Dionne V. Gootjes ◽  
Anke G. Posthumus ◽  
Vincent W. V. Jaddoe ◽  
Bas B. van Rijn ◽  
Eric A. P. Steegers

The objective of this study was to determine the associations between hypertensive disorders of pregnancy and early childhood cardiometabolic risk factors in the offspring. Therefore, 7794 women from the Generation Rotterdam Study were included, an ongoing population-based prospective birth cohort. Women with a hypertensive disorder of pregnancy were classified as such when they were affected by pregnancy induced hypertension, pre-eclampsia or the haemolysis, elevated liver enzymes and low platelet count (HELLP) syndrome during pregnancy. Early childhood cardiometabolic risk factors were defined as the body mass index at the age of 2, 6, 12, 36 months and 6 years. Additionally, it included systolic blood pressure, diastolic blood pressure, total fat mass, cholesterol, triglycerides, insulin and clustering of cardiometabolic risk factors at 6 years of age. Sex-specific differences in the associations between hypertensive disorders and early childhood cardiometabolic risk factors were investigated. Maternal hypertensive disorders of pregnancy were inversely associated with childhood body mass index at 12 months (confounder model: -0.15 SD, 95% CI -0.27; -0.03) and childhood triglyceride at 6 years of age (confounder model: -0.28 SD, 95% CI -0.45; -0.10). For the association with triglycerides, this was only present in girls. Maternal hypertensive disorders of pregnancy were not associated with childhood body mass index at 2, 6 and 36 months. No associations were observed between maternal hypertensive disorders of pregnancy and systolic blood pressure, diastolic blood pressure, body mass index, fat mass index and cholesterol levels at 6 years of age. Our findings do not support an independent and consistent association between maternal hypertensive disorders of pregnancy and early childhood cardiometabolic risk factors in their offspring. However, this does not rule out possible longer term effects of maternal hypertensive disorders of pregnancy on offspring cardiometabolic health.


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