Arterial stiffness, sugar-sweetened beverages and fruits intake in a rural population sample: Data from the brisighella heart study

Introduction: There is conflicting information linking fruit and fructose intake with cardio metabolic disorders. The main objective of our study was to evaluate the association between intake of fruits and sugar-sweetened beverages, and carotid-femoral pulse wave velocity (cfPWV), a non-invasive marker of arterial aging, in a large population sample. Methods: For this study, we selected four age and sex-matched subgroups from the last Brisighella Heart Study population survey, after exclusion of those in secondary prevention for cardiovascular diseases, affected by gout and moderate-to-severe chronic kidney disease (defined as eGFR < 60 mL/min), and/or actively treated with direct vasodilating drugs (calcium-antagonists, alpha-blockers, nitrates). The remaining subjects were classified into four groups: (1) low fruit and low sugar-sweetened beverage intake (LFLB), (2) high fruit and low sugar-sweetened beverage intake (HFLB), (3) low fruit and high sugar-sweetened beverage intake (LFHB), (4) high fruit and high sugar-sweetened beverage intake (HFHB). Results: CfPWV was significantly elevated in subjects consuming a higher fructose load, particularly when it was derived from industrially sweetened beverages (pooled LFHB & HFHB: 9.6 ± 2.3 m/s; pooled LFLB & HFLB: 8.6 ± 2.3 m/s, p < 0.001). Moreover, the main predictors of cfPWV values were serum uric acid (B = 0.391, 95%CI 0.321–0.486, p = 0.001), fructose load from both fruits and sugar-sweetened beverages (B = 0.310, 95%CI 0.099–0.522, p = 0.004), triglycerides (B = 0.228, 95%CI 0.117–0.389, p = 0.018), fasting plasma glucose (B = 0.015, 95%CI 0.008–0.022, p < 0.001) and estimated Glomerular Filtration Rate (B = −0.043, 95%CI −0.052–−0.035, p < 0.001). Conclusion: our data suggest that increased intake of fructose derived from industrial sweetened beverages, though not from fruits, is associated with higher pulse wave velocity

Lipoprotein(a) Serum Levels Predict Pulse Wave Velocity in Subjects in Primary Prevention for Cardiovascular Disease with Large Apo(a) Isoforms: Data from the Brisighella Heart Study

In the last decades, high serum levels of lipoprotein(a) (Lp(a)) have been associated with increased cardiovascular disease (CVD) risk, in particular among individuals with smaller apolipoprotein(a) (apo(a)) isoforms than those with larger sizes. The aim of our analysis was to evaluate whether Lp(a) levels could predict early vascular aging, and whether smaller apo(a) isoforms had a predictive value for vascular aging different than larger apo(a) isoforms in a cohort of subjects free from CVD. We considered the data of a subset of Brisighella Heart Study (BHS) participants free from CVD (462 men and 516 women) who were clinically evaluated during the 2012 BHS population survey. Predictors of arterial stiffness, measured as carotid-femoral pulse wave velocity (cfPWV) were estimated by the application of a step-wise linear regression model. In our cohort, there were 511 subjects with small apo(a) size and 467 subjects with large apo(a) isoforms. Subjects with larger apo(a) isoform sizes had significantly lower serum levels of Lp(a). In the BHS subpopulation sample, cfPWV was predicted by age, systolic blood pressure (SBP), serum levels of high-density lipoprotein cholesterol (HDL-C), triglycerides (TG) and sex, higher HDL-C serum levels and female sex associated with lower values of cfPWV. In subjects with smaller apo(a) isoform sizes, predictors of cfPWV were age, SBP, sex and serum levels of HDL-C, being higher HDL-C serum levels and female sex associated to lower values of cfPWV. In subjects with larger apo(a) isoform sizes, cfPWV was predicted by age, SBP, serum levels of Lp(a) and sex, with female sex associated with lower values of cfPWV. In our subpopulation sample, Lp(a) did not predict cfPWV. However, in subjects with large apo(a) isoform sizes, Lp(a) was a significant predictor of arterial stiffness

Association between serum uric acid, hypertension, vascular stiffness and subclinical atherosclerosis: data from the Brisighella Heart Study.

OBJECTIVE: Serum uric acid (SUA) levels correlate with many recognized cardiovascular risk factors, including age, male sex, hypertension, diabetes mellitus, hypertriglyceridemia, obesity, and insulin resistance. The aim of our study was to verify in a large well characterized population sample the relationship between SUA values, hypertension, arterial stiffness and subclinical atherosclerosis. METHODS: For this study, we selected 248 men and 371 women adult patients enrolled in the last Brisighella Heart Study population survey for which a full set of data were available and not consuming antihypertensive, antidiabetic, lipid-lowering and uric acid-lowering drugs. SUA and other available variables were related to blood pressure level, carotid-femoral pulse wave velocity (cfPWV) and carotid intima-media thickness (cIMT). RESULTS: Hypertension prevalence was strongly related to SUA quartiles: we found significant differences between the 2nd (23.0%) and the 3rd quartiles (36.4%; P vs. 2nd\u200a<\u200a0.05), and between the 3rd and the 4th quartile (56.3%; P vs. 3rd\u200a<\u200a0.05). Similarly, the metabolic syndrome prevalence increased significantly at 39.5% in the 3rd SUA quartile (P\u200a<\u200a0.05 vs. 2nd) and at 58.9% in the 4th quartile (P\u200a<\u200a0.05 vs. 3rd). Intima-media thickness gradually and significantly rose along quartiles of SUA (P for trend\u200a<\u200a0.0001), in particular, it was 0.86\u200a mm in the 1st quartile, 0.90 in the 2nd, 0.94 in the 3rd, and 0.97 in the last quartile, with significant differences between each quartiles (all P\u200a<\u200a0.05). In multivariate regression analyses, SUA resulted to be significantly associated to hypertension and metabolic syndrome prevalence, and IMT. Even if a significant association between SUA and cfPWV was found in univariate analysis (P\u200a=\u200a0.002), when adjusting for age, the trend became nonsignificant (0.20). CONCLUSION: In the studied population sample, after adjustment for a large number of parameters, SUA appears to be significantly correlated to hypertension and IMT, but not to aortic stiffness

Lipoprotein(a) Serum Levels Predict Pulse Wave Velocity in Subjects in Primary Prevention for Cardiovascular Disease with Large Apo(a) Isoforms: Data from the Brisighella Heart Study

In the last decades, high serum levels of lipoprotein(a) (Lp(a)) have been associated with increased cardiovascular disease (CVD) risk, in particular among individuals with smaller apolipoprotein(a) (apo(a)) isoforms than those with larger sizes. The aim of our analysis was to evaluate whether Lp(a) levels could predict early vascular aging, and whether smaller apo(a) isoforms had a predictive value for vascular aging different than larger apo(a) isoforms in a cohort of subjects free from CVD. We considered the data of a subset of Brisighella Heart Study (BHS) participants free from CVD (462 men and 516 women) who were clinically evaluated during the 2012 BHS population survey. Predictors of arterial stiffness, measured as carotid-femoral pulse wave velocity (cfPWV) were estimated by the application of a step-wise linear regression model. In our cohort, there were 511 subjects with small apo(a) size and 467 subjects with large apo(a) isoforms. Subjects with larger apo(a) isoform sizes had significantly lower serum levels of Lp(a). In the BHS subpopulation sample, cfPWV was predicted by age, systolic blood pressure (SBP), serum levels of high-density lipoprotein cholesterol (HDL-C), triglycerides (TG) and sex, higher HDL-C serum levels and female sex associated with lower values of cfPWV. In subjects with smaller apo(a) isoform sizes, predictors of cfPWV were age, SBP, sex and serum levels of HDL-C, being higher HDL-C serum levels and female sex associated to lower values of cfPWV. In subjects with larger apo(a) isoform sizes, cfPWV was predicted by age, SBP, serum levels of Lp(a) and sex, with female sex associated with lower values of cfPWV. In our subpopulation sample, Lp(a) did not predict cfPWV. However, in subjects with large apo(a) isoform sizes, Lp(a) was a significant predictor of arterial stiffness

Interaction between low-density lipoprotein-cholesterolaemia, serum uric level and incident hypertension: data from the Brisighella Heart Study.

OBJECTIVE: Previous evidence suggest that high low-density lipoprotein cholesterol (LDL-C) and serum uric acid (SUA) levels are risk factors for endothelial dysfunction and vascular ageing. The aim of our study was to evaluate the short-term interaction between SUA, LDL-C and incident hypertension in a sample of overall healthy individuals. METHODS: In January 2018, we selected from the general database of the Brisighella Heart Study four groups of age and sex-matched nonhypertensive individuals with different levels of LDL-C and SUA level and examined during the 2008 population survey. Incident hypertension has been defined as the increase of SBP values over 140\u200ammHg and/or of DBP over 90\u200ammHg and or the beginning of an antihypertensive treatment. RESULTS: In a model adjusted for age, sex, baseline blood pressure, family history of hypertension, smoking status, BMI and physical activity intensity, hazard rations for hypertension development compared with individuals with baseline normal LDL-C and SUA levels are 1.14 [95% confidence interval (95% CI) 0.87-1.55] for individuals with isolated high LDL-C level, 1.55 (95% CI 0.96-2.48) for individuals with isolated high SUA level and 1.57 (95% CI 1.20-2.15) for individuals with both high SUA and LDL-C levels. CONCLUSION: In an overall healthy population sample, the contemporary presence of suboptimal LDL-C and SUA values is associated with an increased risk to develop hypertension

COVID-19-Related Quarantine Effect on Dietary Habits in a Northern Italian Rural Population: Data from the Brisighella Heart Study

North of Italy was severely hit by the COVID-19 (Coronavirus disease 19) pandemic. This induced the government to adopt severely restrictive measures to reduce the contagion risk, forcing most of the population to stop working and from leisure activities, and to remain at home for several weeks. Our study aimed to evaluate the effect of COVID-related quarantine on smoking and dietary habits of a well-characterized northern Italian rural population. For this purpose, while lockdown restrictions were in place (February–April 2020), 359 subjects from the Brisighella Heart Study cohort underwent a phone interview about their lifestyle habit changes during COVID-19-related quarantine. Quarantine did not significantly modify smoking habit nor body mass index. Subjects significantly increased daily carbohydrates consumption, all fresh vegetables, healthy vegetable oils, milk and yogurt, alcoholic drinks, sugars and sweets, and coffee. The weekly consumption of low-fat meat, cured meat other than ham, cheeses, eggs, nuts and mixed seed oils significantly increased, while the weekly intake of fish, mussels, and legumes significantly decreased during lockdown. The Dietary Quality Index was reduced from 42.4 ± 4.1 to 37.8 ± 4.7 (p &lt; 0.03). In accordance with our findings, COVID-19-related quarantine might worsen the quality of diet, also leading to an increased intake of almost all food categories

COVID-19-Related Quarantine Effect on Dietary Habits in a Northern Italian Rural Population: Data from the Brisighella Heart Study

North of Italy was severely hit by the COVID-19 (Coronavirus disease 19) pandemic. This induced the government to adopt severely restrictive measures to reduce the contagion risk, forcing most of the population to stop working and from leisure activities, and to remain at home for several weeks. Our study aimed to evaluate the effect of COVID-related quarantine on smoking and dietary habits of a well-characterized northern Italian rural population. For this purpose, while lockdown restrictions were in place (February–April 2020), 359 subjects from the Brisighella Heart Study cohort underwent a phone interview about their lifestyle habit changes during COVID-19-related quarantine. Quarantine did not significantly modify smoking habit nor body mass index. Subjects significantly increased daily carbohydrates consumption, all fresh vegetables, healthy vegetable oils, milk and yogurt, alcoholic drinks, sugars and sweets, and coffee. The weekly consumption of low-fat meat, cured meat other than ham, cheeses, eggs, nuts and mixed seed oils significantly increased, while the weekly intake of fish, mussels, and legumes significantly decreased during lockdown. The Dietary Quality Index was reduced from 42.4 ± 4.1 to 37.8 ± 4.7 (p < 0.03). In accordance with our findings, COVID-19-related quarantine might worsen the quality of diet, also leading to an increased intake of almost all food categories