scholarly journals Association between serum low-density lipoprotein cholesterol and metabolic syndrome in a working population

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Saibin Wang
Keyword(s):  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Working Population ◽  
Cross Sectional ◽  
Female Workers ◽  
Male Cohort

Abstract Background The studies, investigating the association of low-density lipoprotein cholesterol (LDL-C) with metabolic syndrome (MetS) are limited with controversial conclusions. Therefore, this study aimed at revealing the specific relationship between the serum LDL-C levels and MetS prevalence in a large working population. Methods Secondary data analysis of a cross-sectional study, conducted between 2012 and 2016 in Spain on participants aged within the range of 20–70 years, involved 60,799 workers. Logistic regression analysis was applied to evaluate the association between the levels of serum LDL-C and MetS prevalence. Results Among the 60,799 workers, the prevalence of MetS was 9.0%. The odds ratios (95% confidence intervals) of MetS prevalence were 1.27 (1.16–1.39) and 1.53 (1.41–1.65) for the individuals with the LDL-C levels in lower (< 103.8 mg/dL) and upper (> 135.8 mg/dL) tertiles as compared to those with the LDL-C levels in middle tertile (103.8–135.8 mg/dL) in the studied population. Similarly, a U-shaped relationship was also observed in male cohort. The serum LDL-C levels associated with the lowest risk of current MetS were 113.6 mg/dL and 117.6 mg/dL in the overall studied population and male cohort, respectively. The female workers with the levels of LDL-C higher than 135.0 mg/dL had an increased prevalence of MetS (P < 0.05). Conclusions The low and high levels of serum LDL-C were associated with an increased prevalence of MetS in the working population and in male workers. Only the high (> 135.0 mg/dL) levels of LDL-C increased MetS prevalence in female workers.

scholarly journals Association among age, gender, menopausal status and small dense low-density lipoprotein cholesterol: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041613
Author(s):  
Toshihide Izumida ◽  
Yosikazu Nakamura ◽  
Yukihiro Sato ◽  
Shizukiyo Ishikawa
Keyword(s):  
Postmenopausal Women ◽  
Low Density Lipoprotein ◽  
Menopausal Status ◽  
Density Lipoprotein ◽  
Premenopausal Women ◽  
Cross Sectional Study ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Cross Sectional

ObjectivesSmall dense low-density lipoprotein cholesterol (sdLDL-C) might be a better cardiovascular disease (CVD) indicator than low-density lipoprotein cholesterol (LDL-C); however, details regarding its epidemiology remain elusive. The present study aimed at evaluating the association between the demographic factors, such as age, gender and menopausal status, and sdLDL-C levels and sdLDL-C/LDL-C ratio in the Japanese population.DesignThis was a cross-sectional study.Setting13 rural districts in Japan, 2010–2017.ParticipantsThis study included 5208 participants (2397 men and 2811 women), who underwent the health mass screening that was conducted in accordance with the medical care system for the elderly and obtained informed consent for this study.ResultsIn total, 517 premenopausal women (mean age ±SD, 45.1±4.2 years), 2294 postmenopausal women (66.5±8.8 years) and 2397 men (64.1±11.2 years) were analysed. In men, the sdLDL-C levels and sdLDL-C/LDL-C ratio increased during younger adulthood, peaked (36.4 mg/dL, 0.35) at 50–54 years, and then decreased. In women, relatively regular increasing trends of sdLDL-C level and sdLDL-C/LDL-C ratio until approximately 65 years (32.7 mg/dL, 0.28), followed by a downward or pleated trend. Given the beta value of age, body mass index, fasting glucose and smoking and drinking status by multiple linear regression analysis, standardised sdLDL-C levels and sdLDL-C/LDL-C ratio in 50-year-old men, premenopausal women and postmenopausal women were 26.6, 22.7 and 27.4 mg/dL and 0.24, 0.15 and 0.23, respectively. The differences between premenopausal and postmenopausal women were significant (p<0.001).ConclusionsSdLDL-C and sdLDL-C/LDL-C ratios showed different distributions by age, gender and menopausal status. A subgroup-specific approach would be necessary to implement sdLDL-C for CVD prevention strategies, fully considering age-related trends, gender differences and menopausal status.

scholarly journals Relationship between C-reactive protein and features of the metabolic syndrome in military pilots in the Serbia and Montenegro

2005 ◽  
Vol 62 (11) ◽  
pp. 811-819
Author(s):  
Aleksandra Jovelic ◽  
Goran Radjen ◽  
Stojan Jovelic ◽  
Marica Markovic
Keyword(s):  
Metabolic Syndrome ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
C Reactive Protein ◽  
Low Density Lipoprotein Cholesterol ◽  
Reactive Protein

Background/Aim. C-reactive protein is an independent predictor of the risk of cardiovascular events and diabetes mellitus in apparently healthy men. The relationship between C-reactive protein and the features of metabolic syndrome has not been fully elucidated. To assess the cross-sectional relationship between C-reactive protein and the features of metabolic syndrome in healthy people. Methods. We studied 161 military pilots (agee, 40?6 years) free of cardiovascular disease, diabetes mellitus and active inflammation on their regular annual medical control. Age, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglycerides, fasting glucose, glycosylated hemoglobin, blood pressure, smoking habit, waist circumference and body mass index were evaluated. Plasma C-reactive protein was measured by the immunonephelometry (Dade Behring) method. Metabolic syndrome was defined according to the National Cholesterol Education Program Expert Panel. Results. The mean C-reactive protein concentrations in the subjects grouped according to the presence of 0, 1, 2 and 3 or more features of the metabolic syndrome were 1.11, 1.89, 1.72 and 2.22 mg/L, respectively (p = 0.023) with a statistically, significant difference between those with 3, and without metabolic syndrome (p = 0.01). In the simple regression analyses C-reactive protein did not correlate with the total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, body mass index and blood pressure (p > 0.05). In the multiple regression analysis, waist circumference (? = 0.411, p = 0.000), triglycerides to high density lipoprotein cholesterol ratio (? = 0.774, p = 0.000), smoking habit (? = 0.236, p = 0.003) and triglycerides (? = 0.471, p = 0.027) were independent predictors of C-reactive protein. Conclusions. Our results suggested a cross-sectional independent correlation between the examined cardiovascular risk factors as the predominant features of metabolic syndrome and C-reactive protein in the group of apparently healthy subjects. The lack of correlation of C-reactive protein with the total cholesterol and low density lipoprotein cholesterol in our study may suggest their different role in the process of atherosclerosis and the possibility to determine C-reactive protein in order to identify high-risk subjects not identified with cholesterol screening.

scholarly journals Association of the Apolipoprotein B/Apolipoprotein A-I Ratio, Metabolic Syndrome Components, Total Cholesterol, and Low-Density Lipoprotein Cholesterol with Insulin Resistance in the Population of Georgia

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zaza Makaridze ◽  
Elene Giorgadze ◽  
Ketevan Asatiani
Keyword(s):  
Metabolic Syndrome ◽  
Apolipoprotein B ◽  
Regression Models ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Apolipoprotein A ◽  
Multiple Regression Models

The study was designed to assess the association between insulin resistance (IR) and apolipoprotein B/apolipoprotein A-I ratio (ApoB/ApoA-I ratio), metabolic syndrome (MetS) components, total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) in the nondiabetic population of Georgia. The subjects were 1522 Georgians of Caucasian origin (mean age = 45 years, 653 women) without diabetes who had visited the clinics for a related health checkup between 2012 and 2013. IR was calculated using the computer homeostasis model assessment (HOMA2-IR) and was defined as the upper quartile. MetS was diagnosed using the updated ATP-III definition of the metabolic syndrome. Logistic and multiple regression models were used to estimate the association between IR and other components. IR was positively correlated with age, ApoB, ApoB/ApoA-I ratio, MetS components (excluding high-density lipoprotein cholesterol—HDL-C), LDL-C, fasting insulin, and TC and negatively correlated with HDL-C and ApoA-I in both sexes (allP<0.001). In the logistic regression models, gender, age, ApoB/ApoA-I ratio, diastolic pressure, HDL-C, LDL-C, fasting glucose, and triglycerides were the covariates significantly associated with IR (OR: 8.64, 1.03, 17.95, 1.06, 0.13, 1.17, 3.75, and 2.29, resp.; allP<0.05). Multiple regression models demonstrated that these components (except for HDL-C) made an independent contribution to the prediction of HOMA2 (allP<0.05).

scholarly journals ASSOCIATION OF SUBCLINICAL HYPOTHYROIDISM IN METABOLIC SYNDROME PATIENTSASSOCIATION OF SUBCLINICAL HYPOTHYROIDISM IN METABOLIC SYNDROME PATIENTS

2018 ◽  
Vol 11 (9) ◽  
pp. 188
Author(s):  
Jennifer S Suhashini ◽  
Savitha G
Keyword(s):  
Metabolic Syndrome ◽  
Subclinical Hypothyroidism ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Significant Difference ◽  
Tsh Levels

Objectives: Subclinical hypothyroidism (SCH) is also the major risk for cardiovascular disease like metabolic syndrome (MetS). Hence, the aim of this study is to assess the association of SCH in MetS patients.Materials and Methods: Ninety patients reporting to Saveetha Dental College and Hospitals were enrolled in the study which includes 40 patients with MetS and 40 healthy individuals. 5 ml of venous blood was collected and centrifuged. Then, it is analyzed for fasting blood sugar, serum triglycerides, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), and very low-density lipoprotein (VLDL) using the standard kit method. Then, Free T3, Free T4, and thyroid-stimulating hormone (TSH) were estimated by ELISA method. The data obtained were subjected to statistical analysis using the SPSS software.Results: SCH is 20% in cases when compared to 4.4% in controls, which was significant, p=0.024. The biochemical parameters were compared between the study population fasting blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and VLDL cholesterol was statistically significant, with p<0.001. TSH levels showed significant difference between two groups with the p=0.002.Conclusion: MetS patients should be screened for the SCH as an important risk factor in evaluation protocol. Mere correction of TSH levels can reverse the associated morbidity in these patients rather than leaving them untreated pushing them to a state of overt hypothyroidism with its attendant complications.

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