Atherogenic indices and smoking habits in cigarette smokers

Agbecha, Ayu; Ameh, Ameh Emmanuel

doi:10.4103/ed.ed_5_18

Cited by 5 publications

(3 citation statements)

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“…When atherogenic indices were considered, significant increases were observed in TG/HDL, AIP, NHDL, AC, CRI-1 and CRI-2 of OVW and OBS subjects when compared with NOM subjects. Our present result correlates with the study done by [16,33,34]. They reported increase in atherogenic indices in obese subjects.…”

Section: Discussionsupporting

confidence: 94%

A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria

Elekima

Inokon

2019

AJRIMPS

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Aim: The aim of the study was to correlate anthropometric data with atherogenic indices of students in Rivers State University, Port Harcourt as a means of assessing their cardiovascular health. Study Design: A pilot study was carried out in Rivers State University, Port Harcourt in Rivers State, Nigeria. The study was conducted within a period of 4 months (June – September, 2018). A total of 82 students were selected from the recruitment process after consenting to participate in the study. Atherogenic indices (after determination of lipid parameters values) and anthropometric measurements were done at the Department of Medical Laboratory Science, Rivers State University, Port Harcourt, Nigeria. Methodology: Five millitres (5mls) of fasting blood samples were collected into lithium heparin bottles and spun at 3500 rpm for 5 minutes to obtain plasma. Total cholesterol (TC) and Triglyceride (TG) were assayed based on enzymatic methods. High density lipoprotein (HDL) was assayed using precipitation and enzymatic method while low density lipoprotein (LDL) was calculated using Friedewald equation. After determination of lipid parameters, atherogenic indices were computed as ratios of these lipid parameters. Anthropometric measurements were collected using stadiometer, non-stretchable tape and weighing scale. Results: Significant increases were seen in both atherogenic indices and anthropometric data of obese (OBS) and overweight (OVW) students compared to ideal weight (NOM) students. Correlation of anthropometric data with atherogenic indices in obese (OBS) students indicated significant positive correlation between WC with NHDL and CRI-2 as well as between WHR with NHDL, AC, CRI-1 and CRI-2. Conclusion: Obesity is a strong factor among students that induces atherogenic hyperlipoproteinaemia and thus, CVD risks. Also, WHR and WC correlates strongly with atherogenic indices such as NHDL, AC, CRI-1 and CRI-2 and therefore, were seen as better and sensitive anthropometric parameters for predicting cardiovascular risks compared to WHtR and BMI.

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Section: Discussionsupporting

confidence: 94%

A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria

Elekima

Inokon

2019

AJRIMPS

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“…Although the mechanism of smoking promoting subclinical coronary atherosclerosis is still unclear, some studies have shown that smoking will increase the levels of triglycerides, low-density lipoprotein cholesterol, total cholesterol and very low-density lipoprotein cholesterol in the blood, and reduce the level of high-density lipoprotein cholesterol [ 13] .Among them, the mechanism of smoking causing dyslipidemia may be: stimulating the sympathetic nerve to stimulate the increase of secretion of catecholamine in human body. stimulates cholinergic receptors in the brain and autonomic ganglia.…”

Section: Discussionmentioning

confidence: 99%

Correlations between Castelli’s Risk Index and Subclinical Coronary Atherosclerosis

Song

Tang

et al. 2023

Preprint

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Objective To investigate the relations between blood lipid level, plasma atherogenic index and coronary artery structural changes in patients with subclinical coronary atherosclerosis. Method 209 patients who had accomplished Coronary CT Angiography (coronary CTA) are selected. the patients were classified into subclinical coronary atherosclerosis group (n = 124) and the normal group (n = 85). The clinical data of all patients were collected. Non-high-density lipoprotein, plasma atherogenic index, Castelli risk index and atherosclerosis coefficient were calculated according to the four items of blood lipids. Results There were significant differences between the subclinical coronary atherosclerosis group and the normal group in terms of gender, smoking history, and history of Hyperuricemia (P < 0.05), and the levels of Non-HDL-C, CRI-1, CRI-2, and AC were slightly higher than those in the normal group (P < 0.05).There was a correlation between subclinical coronary atherosclerosis and calcification score (P < 0.05). Logistic multivariate regression analysis showed that Smoking, Age and CRI-2 were independent risk factors for subclinical coronary atherosclerotic. The ROC of subclinical coronary atherosclerotic lesions diagnosed by CRI-2 was the largest, 0.611 (0.531–0.69). Conclusion Smoking, age and plasma CRI-2 level are associated with subclinical coronary atherosclerosis. CRI-2 in the plasma atherogenic index can be used for early screening of subclinical coronary atherosclerosis patients.

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“…Our opposite result (positive relationship) is probably due to the small percentage of smoking and older age of the nonsmoking population (58.4 ± 0.2 vs. 50.8 ± 0.9 years, p < 0.001). Significant high atherogenic indices and proatherogenic lipids (TG, TCH, LDL-C, very LDL-C, and non-HDL-C) were observed in smokers compared to controls [37, 38]. Exercise benefits BMD in premenopausal women [39] and maintains BMD in postmenopausal women [40].…”

Section: Discussionmentioning

confidence: 99%

Bone Mineral Density as a Predictor of Atherogenic Indexes of Cardiovascular Disease, Especially in Nonobese Adults

Chuang

Lin²,

Wang

2019

Disease Markers

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Purpose. This study is aimed at determining whether bone mineral density (BMD) values are related to atherogenic indexes (AIs) and could predict the risk of cardiovascular disease (CVD) in southern Taiwanese adults. Methods. Medical records of 3249 adults who underwent health examinations between June 2014 and February 2018 at a regional hospital in southern Taiwan were reviewed. Data collected included health history, anthropomorphic characteristics, exercise habits, diets (vegetarian or nonvegetarian), clinical laboratory results (lipid profile, systemic blood pressure (SBP), glucose level, creatinine (Cre) level, and hemoglobin (Hb) level), and bone mineral density (BMD), which were used to identify the associations of these parameters, especially BMD, with lipid profile and calculated AIs through simple and multiple linear regressions. Results. The mean age of the patients was 58.0 years, and 71.4% were male. Body mass index (BMI), SBP, glucose level, Cre level, Hb level, and all BMD values were positively correlated with triglyceride (TG) level and AIs and were negatively correlated with high-density lipoprotein cholesterol (HDL-C) level. The significant positive correlations of BMD at all the measured sites with AIs remained after adjusting for age, sex, SBP, glucose level, Cre level, Hb level, smoking, exercise habits, and vegetarian state. The expanded adjusting model for TG/HDL-C remained significant at all the BMD measured sites in nonobese men, at bilateral femoral neck and total hips in nonobese women, and at the bilateral total hips in obese women. Conclusions. AIs are predictive markers for CVD, and BMD values are predictors of AIs, especially the novel AI, i.e., TG/HDL-C ratio, in nonobese adult men and women after dividing the patients into subgroups to eliminate the effect of BMI as a confounding factor. Thus, BMD values could predict AIs of CVD, especially in nonobese adults.

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Atherogenic indices and smoking habits in cigarette smokers

Cited by 5 publications

References 0 publications

A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria

A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria

Correlations between Castelli’s Risk Index and Subclinical Coronary Atherosclerosis

Bone Mineral Density as a Predictor of Atherogenic Indexes of Cardiovascular Disease, Especially in Nonobese Adults

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