scholarly journals Visceral Adiposity index and atherogenic index of plasma as reliable indices to prediction of cardiovascular diseases in adults: A Cross-Sectional analysis from the Iranian RaNCD Cohort Data

2021 ◽  
Author(s):  
Behrooz Hamzeh ◽  
Yahya Pasdar ◽  
Narmin Mirzaei ◽  
Roya Safari Faramani ◽  
Farid Najafi ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Serum Triglyceride ◽  
Visceral Adiposity ◽  
Atherogenic Index ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Atherogenic Index Of Plasma ◽  
Adiposity Index ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background: Visceral Adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting Non-Communicable disease (NCDs). The aim of this study was to assess the association AIP and VAI with risk of developing cardiovascular diseases (CVDs) in adults.Materials: This was a cross-sectional analysis conducted on 7362 individuals aged 35 to65 years participated in Ravansar Non-Communicable Diseases (RaNCD) cohort study. AIP was calculated based on the value of TG and HDL-C. VAI was calculated using BMI (Body mass index), waist circumference (WC), serum triglyceride, and High density lipoprotein cholesterol (HDL-C).All participants were stratified into three groups based on AIP and VAI tertiles. Simple and multiple logistic regression models were applied to assess the effect of these indices on CVDs.Results: The mean of AIP and VAI was significantly higher in CVDs patients than in non-CVDs (P < 0.001). After adjusting for age, sex hypertension, hyperlipidemia and smoking the risk of CVDs in the second and third tertile of AIP were 1.27 (95% CI: 1.06, 1.52) and 1.63 (95% CI: 1.31, 2.03) times higher comparing to the first tertile, respectively. Risk of CVDs in the second and third tertile of VAI were1.41 (95% CI: 1.18, 1.70) and 1.98 (95% CI: 1.60, 2.46) times higher than the first tertile, respectively; while adjusting for age, sex, hypertension and dyslipidemia.Conclusion: According to the findings, AIP and VAI were positively associated with CVDs in adults. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.

scholarly journals Visceral Adiposity Index and Atherogenic Index of Plasma as Useful Predictor of Cardiovascular Diseases Risk: Evidence From A Cohort Study in Iran

2021 ◽  
Author(s):  
Behrooz Hamzeh ◽  
Yahya Pasdar ◽  
Narmin Mirzaei ◽  
Roya Safari Faramani ◽  
Farid Najafi ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cardiovascular Diseases ◽  
Communicable Disease ◽  
Density Lipoprotein ◽  
Visceral Adiposity ◽  
Atherogenic Index ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Atherogenic Index Of Plasma ◽  
Adiposity Index

Abstract Background Visceral Adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting Non-Communicable disease (NCDs). The aim of this study was to assess the association AIP and VAI with risk of cardiovascular diseases (CVDs). Methods This was a cross-sectional analysis conducted on 7362 individuals aged 35 to 65 years participated in Ravansar Non-Communicable Diseases (RaNCD) cohort study. AIP was calculated based on the value of triglyceride and high density lipoprotein cholesterol (HDL-C). VAI was calculated using Body mass index (BMI), waist circumference (WC), triglyceride, and HDL-C. All participants were stratified into three groups based on AIP and VAI tertiles. Logistic regression models were used to assess the association of AIP and VAI with CVDs. Results The mean of AIP and VAI was significantly higher in CVDs patients than in non-CVDs (P < 0.001). After adjusting for age, sex, BMI and physical activity the risk of CVDs in the second and third tertile of AIP were 1.22 (95% CI: 1.02, 1.45) and 1.40 (95% CI: 1.19, 1.66) times higher comparing to the first tertile, respectively. Risk of CVDs in the second and third tertile of VAI were 1.28 (95% CI: 1.06, 1.53) and 1.52 (95% CI: 1.25, 1.83) times higher than the first tertile, respectively; while adjusting for age, sex, hypertension and dyslipidemia and smoking. Conclusion According to the findings, AIP and VAI were positively associated with CVDs. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.

scholarly journals Hirsutism and Anthropometric Profiles Among Subjects with Polycystic Ovarian Morphology? A Cross-Sectional Analysis

2019 ◽  
Vol 1 (2) ◽  
pp. 44-54
Author(s):  
Sikandar Hayat Khan ◽  
Asif Alam Gul ◽  
Robina Manzoor ◽  
Aasyia Hanif Baig ◽  
Roomana Anwar ◽  
...  
Keyword(s):  
Visceral Adiposity ◽  
Lower Degree ◽  
Volume Index ◽  
Total Testosterone ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Cross Sectional Analysis ◽  
Sectional Analysis ◽  
Rotterdam Criteria

Background Polycystic ovarian syndrome (PCOS) is increasingly being diagnosed and treated with sometimes variable lifestyle advice and pharmacological interventions. Obesity is considered as the sole culprit and variable definitions in clinics compound the understanding of pathogenic heterogeneity of this syndrome. We evaluated the differences between various simple to calculate anthropometric indices along with some anthropometric-biochemical equations in subjects with or without PCOS. Objective To compare traditional measures like waist to hip and height ratio (WHpR and WHtR), BMI, newer markers depicting central obesity like Abdominal Volume index(AVI), Body roundness index (BRI), A Body Shape index (ABSI), Conicity index (C-index) along with biochemical-anthropometric equations like lipid Accumulation Products (LAP), Visceral Adiposity Index (VAI) and Chinese Visceral Adiposity Index (CVAI) for diagnosing PCOS as per the Rotterdam criteria Design Cross-sectional analysis Place & Study Duration Naval hospital, Islamabad from Jan- 2018 to July- 2019 Subjects and Methods From our finally evaluated 333 female subjects we initially compared the differences for the presence of hirsutism as per modified Ferrimen Gallwey scores and biochemical hyperandrogenism by measuring free androgen index (Total testosterone/SHBG x 1000. We evaluated waist circumference, BMI, WHpR, WHtR,AVI, BRI, ABSI, C-index along with biochemical-anthropometric equations like LAP, VAI and CVAI for differences in subjects diagnosed to have PCOS by Rotterdam criteria or ultrasonography alone. Results Differences in hirsutism as defined by modified FG score between subjects defined to have PCOS or otherwise as per Rotterdam defined criteria were as [(PCOS=169, Mean=17.33 + 9.05) (No PCOS=164, Mean=8.21 + 5.74), p< 0.001] and ultrasound [(PCOS=87, Mean=16.95 + 9.57) (No PCOS=246, Mean=11.38 + 8.51), p< 0.001]. Similarly, the differences in FAI between subjects defined to have PCOS or otherwise as per Rotterdam criteria and ultrasound were as [(PCOS=169, Mean=6.41 + 4.88) (No PCOS=164, Mean=2.77 + 1.79), p< 0.001] and [(PCOS=87, Mean=5.75 + 5.01) (No PCOS=246, Mean=4.22 + 3.68), p= 0.011]. Anthropometric measures and anthropometric-mathematical equations were raised in non-PCOS subjects than PCOS subjects. Lean-PCOS demonstrated lower degree of hirsutism and biochemical hyperandrogenism in comparison to obese-PCOS. Conclusion Hirsutism and free androgen indices were raised in PCOS females. Anthropometric based measurements were not different in PCOS cases and non-PCOS females. Lean-PCOS demonstrated lower degree of hirsutism and biochemical hyperandrogenism in comparison to obese-PCOS.

scholarly journals Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis

2019 ◽  
Vol 16 (7) ◽  
pp. 1244 ◽  
Author(s):  
Tu Nguyen ◽  
Patrice Ngangue ◽  
Tarek Bouhali ◽  
Bridget Ryan ◽  
Moira Stewart ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Social Vulnerability ◽  
Chronic Conditions ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
Cross Sectional ◽  
Term Care ◽  
Cross Sectional Analysis ◽  
The Social ◽  
Sectional Analysis

Background: Social aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. Purposes: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity. Methods: Cross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman’s rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state. Results: There were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00–0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24, p < 0.001). Obesity, depression/anxiety, and cardiovascular diseases were significantly associated with the most socially vulnerable patients with multimorbidity. Conclusions: There was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

scholarly journals The relationship between the visceral adiposity index and carotid atherosclerosis in different genders and age groups

2021 ◽  
Author(s):  
Jing Cao ◽  
Shengpeng Liu ◽  
Q. Yang ◽  
Y. Zhang ◽  
J. Huang ◽  
...  
Keyword(s):  
Carotid Atherosclerosis ◽  
Elderly Women ◽  
Age Groups ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Health Examination ◽  
Diagnostic Efficacy ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Increased Risk

Abstract Objective: We aimed to investigate the possible relationship between visceral adiposity index (VAI) and carotid atherosclerosis(CAS) in different genders and age groups in China. Methods: This study was an observational cross-sectional study and included 1996 participants who were health examination population .From January 2018 to June 2019, people over 18 years old who had physical examinations were included in the study. Each participant completed a standard questionnaire, anthropometric measurements, ultrasonic examination ,and provided blood samples for biochemical measurements. Regression models were utilized to evaluate the correlation between VAI and the CAS risk. An ROC curve was utilized to predict VAI diagnostic efficacy for carotid atherosclerosis. Result: After adjusting for potential risks, high-VAI subjects had an increased OR of having CAS in women aged>44 years[OR= 3.09,95% Confdence interval (95%CI)=1.64⑶5.82, p <0.001]. In females, the AUC and sensitivity specificity were [(0.595, 76.68% and 39.85%, all females), (0.575, 78.51% and 30.37%, age ≤44), (0.609, 84.71% and 40.46%, age >44). When compared with traditional obesity indices(BMI, WC, and HC) , the predictive ability of VAI was stronger in females >44.The same relationships in males were not signifcant. Conclusions: The VAI were associated with an increased risk of CAS,and it could be selected as new and simple predictors of CAS for middle-aged and elderly women(age >44)in China .

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