scholarly journals Influence of Insulin Resistance and Body Mass Index at Age 13 on Systolic Blood Pressure, Triglycerides, and High-Density Lipoprotein Cholesterol at Age 19

Hypertension ◽  
2006 ◽  
Vol 48 (4) ◽  
pp. 730-736 ◽  
Author(s):  
Alan R. Sinaiko ◽  
Julia Steinberger ◽  
Antoinette Moran ◽  
Ching-Ping Hong ◽  
Ronald J. Prineas ◽  
...  
2020 ◽  
Vol 17 (8) ◽  
pp. 800-806
Author(s):  
Leigh M. Vanderloo ◽  
Jonathan L. Maguire ◽  
David W. H. Dai ◽  
Patricia C. Parkin ◽  
Cornelia M. Borkhoff ◽  
...  

Background: This study aimed to examine the association between physical activity (PA) and a total cardio metabolic risk (CMR) score in children aged 3–12 years. Secondary objectives were to examine the association between PA and individual CMR factors. Methods: A longitudinal study with repeated measures was conducted with participants from a large primary care practice-based research network in Toronto, Canada. Mixed effects models were used to examine the relationship between parent-reported physical activity and outcome variables (total CMR score, triglycerides, glucose, high-density lipoprotein cholesterol, systolic blood pressure, waist circumference, weight-to-height ratio, and non-high-density lipoprotein cholesterol). Results: Data from 1885 children (6.06 y, 54.4% male) with multiple visits (n = 2670) were included in the analyses. For every unit increase of 60 minutes of PA, there was no evidence of an association with total CMR score (adjusted: −0.02 [−0.014 to 0.004], P = .11]. For the individual CMR components, there was evidence of a weak association between PA and systolic blood pressure (−0.01 [−0.03 to −0.01], P < .001) and waist-to-height ratio (−0.81 [−1.62 to −0.003], P < .001). Conclusion: Parent-reported PA among children aged 3–12 years was not statistically associated with total CMR, but was weakly associated with systolic blood pressure and waist-to-height ratio.


Author(s):  
Xinhui Liu ◽  
Chuanbao Li ◽  
Xiaoru Sun ◽  
Yuanyuan Yu ◽  
Shucheng Si ◽  
...  

Background This Mendelian randomization study aims to investigate causal associations between genetically predicted insomnia and 14 cardiovascular diseases (CVDs) as well as the potential mediator role of 17 cardiometabolic risk factors. Methods and Results Using genetic association estimates from large genome‐wide association studies and UK Biobank, we performed a 2‐sample Mendelian randomization analysis to estimate the associations of insomnia with 14 CVD conditions in the primary analysis. Then mediation analysis was conducted to explore the potential mediator role of 17 cardiometabolic risk factors using a network Mendelian randomization design. After correcting for multiple testing, genetically predicted insomnia was consistent significantly positively associated with 9 of 14 CVDs, those odds ratios ranged from 1.13 (95% CI, 1.08–1.18) for atrial fibrillation to 1.24 (95% CI, 1.16–1.32) for heart failure. Moreover, genetically predicted insomnia was consistently associated with higher body mass index, triglycerides, and lower high‐density lipoprotein cholesterol, each of which may act as a mediator in the causal pathway from insomnia to several CVD outcomes. Additionally, we found very little evidence to support a causal link between insomnia with abdominal aortic aneurysm, thoracic aortic aneurysm, total cholesterol, low‐density lipoprotein cholesterol, glycemic traits, renal function, and heart rate increase during exercise. Finally, we found no evidence of causal associations of genetically predicted body mass index, high‐density lipoprotein cholesterol, or triglycerides on insomnia. Conclusions This study provides evidence that insomnia is associated with 9 of 14 CVD outcomes, some of which may be partially mediated by 1 or more of higher body mass index, triglycerides, and lower high‐density lipoprotein cholesterol.


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