High density lipoprotein cholesterol in relation to food consumption and running distance

1983 ◽  
Vol 12 (2) ◽  
pp. 287-295 ◽  
Author(s):  
R Hagan
2021 ◽  
Vol 34 ◽  
Author(s):  
Larisse Monteles NASCIMENTO ◽  
Nayara Vieira do Nascimento MONTEIRO ◽  
Thiana Magalhães VILAR ◽  
Cyntia Regina Lúcio de Sousa IBIAPINA ◽  
Karoline de Macedo Gonçalves FROTA

ABSTRACT Objective To investigate the influence of ultra-processed food consumption on anthropometric and atherogenic indices. Methods A cross-sectional study was conducted with 327 adolescents aged 14 to 19 years. Sociodemographic, anthropometric, biochemical, and food consumption data were evaluated. The ratios of atherogenic indices were calculated using the Castelli I (Total Cholesterol/High Density Lipoprotein Cholesterol), Castelli II (Low Density Lipoprotein Cholesterol/High Density Lipoprotein Cholesterol), and estimated Low Density Lipoprotein Cholesterol particle size (Atherogenic Index of Plasma=Triglycerides/High-Density Lipoprotein Cholesterol) indices. Logistic regression was used for the unadjusted and adjusted analysis between ultra-processed foods consumption, anthropometric, and atherogenic indices. The level of significance was 5%. Results Most participants were female (59.3%). Girls had a higher consumption of ultra-processed foods (26.6% vs. 20.5%). Of the total number of adolescents, 16.5% were overweight and 65.7% were from public schools. Adolescents with altered values for the Castelli I and II Index, and for the Atherogenic Index of Plasma had significantly higher weights, Waist Circumference, Waist Circumference/ Height and Body Mass Index/ Age values. The adjusted analysis identified a significant association (Odds ratio=2.29; 95% Confidence interval: 1.23-4.28) between the high consumption of ultra-processed foods and the Castelli II index. Conclusion The associations between atherogenic indices and anthropometric indices and the consumption of ultra-processed foods highlight the negative influence of these foods on adolescents’ cardiovascular health.


VASA ◽  
2014 ◽  
Vol 43 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Yiqiang Zhan ◽  
Jinming Yu ◽  
Rongjing Ding ◽  
Yihong Sun ◽  
Dayi Hu

Background: The associations of triglyceride (TG) to high-density lipoprotein cholesterol ratio (HDL‑C) and total cholesterol (TC) to HDL‑C ratio and low ankle brachial index (ABI) were seldom investigated. Patients and methods: A population based cross-sectional survey was conducted and 2982 participants 60 years and over were recruited. TG, TC, HDL‑C, and low-density lipoprotein cholesterol (LDL-C) were assessed in all participants. Low ABI was defined as ABI ≤ 0.9 in either leg. Multiple logistic regression models were applied to study the association between TG/HDL‑C ratio, TC/HDL‑C ratio and low ABI. Results: The TG/HDL‑C ratios for those with ABI > 0.9 and ABI ≤ 0.9 were 1.28 ± 1.20 and 1.48 ± 1.13 (P < 0.0001), while the TC/HDL‑C ratios were 3.96 ± 1.09 and 4.32 ± 1.15 (P < 0.0001), respectively. After adjusting for age, gender, body mass index, obesity, current drinking, physical activity, hypertension, diabetes, lipid-lowering drugs, and cardiovascular disease history, the odds ratios (ORs) with 95 % confidence intervals (CIs) of low ABI for TG/HDL‑C ratio and TC/HDL‑C ratio were 1.10 (0.96, 1.26) and 1.34 (1.14, 1.59) in non-smokers. When TC was further adjusted, the ORs (95 % CIs) were 1.40 (0.79, 2.52) and 1.53 (1.21, 1.93) for TG/HDL‑C ratio and TC/HDL‑C ratio, respectively. Non-linear relationships were detected between TG/HDL‑C ratio and TC/HDL‑C ratio and low ABI in both smokers and non-smokers. Conclusions: TC/HDL‑C ratio was significantly associated with low ABI in non-smokers and the association was independent of TC, TG, HDL‑C, and LDL-C. TC/HDL‑C might be considered as a potential biomarker for early peripheral arterial disease screening.


2011 ◽  
Vol 31 (2) ◽  
pp. 224-226
Author(s):  
Cheng-cheng YI ◽  
WEN-wen LIU ◽  
Ying-qiu ZHANG ◽  
Zhi-jun GUO ◽  
Xiang-yun WANG ◽  
...  

2011 ◽  
Vol 9 (4) ◽  
pp. 385-400 ◽  
Author(s):  
Matilda Florentin ◽  
Evangelos N. Liberopoulos ◽  
Anastazia Kei ◽  
Dimitri P. Mikhailidis ◽  
Moses S. Elisaf

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