Low BMI is inversely associated with arterial stiffness in Africans

Association between body mass index and respiratory symptoms in US adults: a national cross-sectional study

The correlation between body mass index (BMI) and the development of cough, shortness of breath, and dyspnea is unclear. Therefore, this study aimed to investigate the association between these parameters. Data from individuals who participated in the National Health and Nutrition Examination Survey between 2003 and 2012 were analyzed. Weighted logistic regression analysis and smoothed curve fitting were used to examine the correlation between BMI and respiratory symptoms. In addition, the relationship between BMI, chronic obstructive pulmonary disease (COPD), and bronchial asthma was examined. Stratified analysis was used to discover inflection points and specific groups. Weighted logistic regression and smoothed curve fitting revealed a U-shaped relationship between BMI and respiratory symptoms. The U-shaped relationship in BMI was also observed in patients with bronchial asthma and COPD. Stratified analysis showed that the correlation between BMI and wheezing and dyspnea was influenced by race. In addition, non-Hispanic black individuals had a higher risk of developing cough than individuals of the other three races [OR 1.040 (1.021, 1.060), p < 0.0001], and they also exhibited an inverted U-shaped relationship between BMI and bronchial asthma. However, the association of BMI with cough, wheezing, dyspnea, COPD, and asthma was not affected by sex. High or low BMI was associated with cough, shortness of breath, and dyspnea, and has been linked to bronchial asthma and COPD. These findings provide new insights into the management of respiratory symptoms and respiratory diseases.

Physical activity has a stronger correlation with arterial stiffness than strength, balance, or BMI in an older population

Background: Arterial stiffness is associated with an array of debilitating health conditions. While exercise typically has beneficial effects on both arterial stiffness and overall health, more research is needed to understand the associations of different types of fitness indices with arterial stiffness. Aim: To investigate the relationship between balance, strength, cardiovascular fitness and physical activity with arterial stiffness (as measured by pulse wave velocity (PWV)) in older adults. Method: Eighty retirement-village residents (24 males, 56 females, age: 78.2 ± 6.4 years, weight: 69.4 ± 12.5 kg, height: 162.9 ± 8.5 cm) completed the Yale Physical Activity Survey, PWV measurement, 30-s sit-to-stand leg strength test, hand grip strength assessment, 4-stage balance test, and a 6-min walk fitness test. The number of exiting risk factors (smoking, previous heart incidents, previous stroke(s), having hypertension, or taking anti-hypertension medication) were tallied. Pearson's correlations were used to assess the relationship between PWV and health and fitness parameters. Results were interpreted using qualitative inference. Results: The number of risk factors (r = 0.57, p < 0.001), age (r = 0.51, p < 0.001) and systolic blood pressure (r = 0.50, p = 0.001) had strong, harmful associations with PWV. Total physical activity minutes/week (r = -0.31 p = 0.01), total energy expenditure Kcal/week (r = -0.30, p = 0.01), and the 6-min walk test (r = -0.29, p = 0.01) had a moderate, beneficial association with PWV, while sit-to-stand (r = -0.27, p = 0.02) and balance (r = -0.27, p = 0.01) had a weak, beneficial association with PWV. Hand grip strength (r = 0.02, p = 0.94) and body mass index (r = -0.04, p = 0.75) had no significant associations with PWV. Discussion: All measured fitness indices had beneficial associations with PWV. However, having more risk factors, increased age, and higher systolic blood pressure had significant (harmful) associations with PWV in our older population. Conclusion: Controlling cardiovascular risk factors, especially high systolic blood pressure, is likely to have the largest beneficial effect on PWV. Improving general physical activity, including walking capacity, may prove beneficial in improving PWV in an older population.

Association between cardio-ankle vascular index and cardiometabolic risk factors in HIV patients in Ghana

Human immunodeficiency virus (HIV) infection is associated with increased cardiovascular diseases (CVDs) even in patients with viral suppression by combination antiretroviral therapy (cART). Arterial stiffness is an independent predictor of CVDs in diseased individuals and the general population. Cardio-ankle vascular index (CAVI) is an index of arterial stiffness that has been shown to predict target organ damage. CAVI is less studied in HIV patients. We compared the levels of arterial stiffness using CAVI and associated factors among cART-treated and cART-naïve HIV patients to those of non-HIV controls. In a case-control design, 158 cART-treated HIV patients, 150 cART-naïve HIV patients and 156 non-HIV controls were recruited from a periurban hospital. We collected data on CVD risk factors, anthropometric characteristics, CAVI, and fasting blood samples to measure plasma glucose, lipid profile, and CD4+ cell counts. Metabolic abnormalities were defined using the JIS criteria. CAVI increased in cART-treated HIV patients compared to cART-naïve HIV patients and non-HIV controls (7.8 ± 1.4 vs 6.6 ± 1.1 vs 6.7 ± 1.4 respectively, p < 0.001). CAVI was associated with metabolic syndrome in non-HIV controls [OR (95% CI) = 2.14 (1.04-4.4), p = 0.039] and cART-naïve HIV patients [1.47 (1.21-2.38), p = 0.015], but not in cART-treated HIV patients [0.81 (0.52-1.26), p = 0.353]. In cART-treated HIV patients, a tenofovir (TDF)-based regimen (β = -0.46, p = 0.023) was associated with decreased CAVI and decreased CD4+ cell count (β = -0.23, p = 0.047) was associated with increased CAVI. In a periurban hospital in Ghana, compared to non-HIV controls or cART-naïve HIV patients, cART-treated HIV patients had increased arterial stiffness measured as CAVI. CAVI is associated with metabolic abnormalities in non-HIV controls and cART-naïve HIV patients, but not in cART-treated HIV patients. Patients on TDF-based regimens had decreased CAVI.

Testosterone Level Reduction Increases the 10-Year Risk of Cardiovascular Diseases: A Retrospective Cohort Study in a Taiwanese Young Male Population

Low testosterone levels are associated with increased risk of cardiovascular disease; however, most previous studies assessed the relationship of testosterone levels with a history of cardiovascular (CV) events rather than with CV risk prediction scores consequently neglecting the effect of testosterone on CV risk in healthy young individuals. The aim of this study was to investigate the relationship between testosterone levels and predict the 10-year risk of cardiovascular disease. This retrospective cohort study was conducted through a large medical health examination system in four metropolises in Taiwan. Two risk scores were used to predict the 10-year cardiovascular risk of participants: the Framingham Risk Score (FRS) (2008) and the Atherosclerotic Cardiovascular Disease (ASCVD) Risk Estimator (2013). Multivariate-adjusted logistic regression was used to calculate odds ratios (ORs) for the correlation of testosterone level reduction with the increase in predicted CV risk. We used the MJ Health Research Foundation database to collect reports of 125,414 individuals who underwent medical checkups between 2007 and 2016. The final sample size included 1,253 male participants. A reduction in testosterone level between two subsequent medical checkups was associated with higher CV risk estimated by the FRS and ASCVD Risk Estimator in young participants aged 30–49 years (OR = 0.804, 95% CI: 0.711–0.909, p &lt; 0.01 and OR = 0.841, 95% CI: 0.742–0.953, p &lt; 0.01, respectively). Reduction in total testosterone levels increases CV risk in men aged 30 to 49 years, while the CV risk is not influenced by low testosterone levels at baseline.

Development of a novel CT-derived measure of cardiovascular health: the CT aortic stiffness index (CTASI)

AIMS

Aortic stiffness, measured as aortic pulse wave velocity (PWV), is a powerful predictor of cardiovascular health but is difficult to accurately obtain non-invasively. This study sought to develop a novel CT aortic stiffness index (CTASI) which incorporates both anatomical (calcification) and physiological (distensibility) aspects of aortic health.

METHODS

Invasive PWV and CT scans were obtained for 80 patients undergoing TAVI (cohort 1). CT data alone were obtained from an additional 238 patients (cohort 2). Aortic calcification was quantified using a modified Agatston's methodology. Distensibility-PWV was calculated from minimum and maximum ascending aorta areas. Linear regression of these values was used to construct CTASI from cohort 1. CTASI was then calculated for cohort 2 who were prospectively followed-up.

RESULTS

CTASI correlated with invasive PWV (rho = 0.47, p < 0.01) with a higher correlation coefficient than distensibility-PWV (rho = 0.35, p < 0.01) and aortic calcification (rho = 0.36, p < 0.01). Compared to invasive PWV, CTASI had a good accuracy as a diagnostic test (AOC 0.72 [95% CI 0.61-0.84]), superior to aortic calcification and distensibility-PWV alone (χ² = 0.82, p = 0.02). There were 61 deaths during a median follow-up of 771 days (95% CI 751.4-790.5). CTASI was able to predict 1-year mortality (OR 2.58, 95% CI 1.18-5.61, p = 0.02) and Kaplan-Meier survival (log-rank p = 0.03).

CONCLUSION

CTASI is a stronger measure of aortic stiffness than aortic calcification or distensibility alone. Given the prolific use of CT scanning for assessing coronary and vascular disease, the additional calculation of CTASI during these scans could provide an important direct measurement of vascular health and guide pharmacological therapy.

Arterial Stiffness and Cardiometabolic-Based Chronic Disease: The Kardiovize Study

OBJECTIVE

Arterial stiffness (ArSt) describes a loss of arterial wall elasticity and is an independent predictor of cardiovascular events. A cardiometabolic-based chronic disease model integrates concepts of adiposity-based chronic disease (ABCD), dysglycemia-based chronic disease (DBCD), and cardiovascular disease. We assessed if ABCD and DBCD models detect more people with high ArSt compared with traditional adiposity and dysglycemia classifiers using the cardio-ankle vascular index (CAVI).

METHODS

We evaluated 2070 subjects aged 25 to 64 years from a random population-based sample. Those with type 1 diabetes were excluded. ABCD and DBCD were defined, and ArSt risk was stratified based on the American Association of Clinical Endocrinologists criteria.

RESULTS

The highest prevalence of a high CAVI was in stage 2 ABCD (18.5%) and stage 4 DBCD (31.8%), and the lowest prevalence was in stage 0 ABCD (2.2%). In univariate analysis, stage 2 ABCD and all DBCD stages increased the risk of having a high CAVI compared with traditional classifiers. After adjusting for age and gender, only an inverse association between obesity (body mass index ≥30 kg/m²) and CAVI remained significant. Nevertheless, body mass index was responsible for only 0.3% of CAVI variability.

CONCLUSION

The ABCD and DBCD models showed better performance than traditional classifiers to detect subjects with ArSt; however, the variables were not independently associated with age and gender, which might be explained by the complexity and multifactoriality of the relationship of CAVI with the ABCD and DBCD models, mediated by insulin resistance.

Association of Low-BMI with Aortic Stiffness in Young Healthy Individuals

BACKGROUND

Increased arterial stiffness is an independent predictor of cardiovascular morbidity and mortality. It is not known whether low-BMI has any detrimental effect on arterial wall early during young age.

OBJECTIVES

The present study was aimed to determine if low-BMI can increase arterial stiffness in young healthy individuals.

METHODS

A cross-sectional study was conducted on young healthy subjects (n=100) with low-BMI <18.5 (n=50) and normal-BMI: 18.5-24.9 (n=50) with age ranging between 15-23 years. BMI, heart rate, blood pressure and arterial stiffness indices such as regional pulse wave velocity (PWV) between brachial-ankle (baPWV), carotid-femoral (cfPWV), heart-ankle (haPWV), heart-brachial (hbPWV) were measured.

RESULTS

A significantly increased pulse pressure (p=0.014), baPWV (1059.2 ± 140.26 cm/s Vs 994.66 ± 129.23 cm/s; p=0.019) and cfPWV (641.03 ± 113.83 cm/s Vs 583.96 ± 120.48 cm/s; p=0.017) was found in individuals with low-BMI than normal-BMI group. There was a significant negative correlation between BMI and central arterial PWV. Further multiple regression analysis showed that BMI was robustly associated with cf-PWV (p=0.004) and baPWV (p=0.016) even after multiple adjustments with potential confounders using several models.

CONCLUSIONS

These findings show a significant increased aortic stiffness and pulse pressure in low-BMI subjects compared to those with normal BMI. Low-BMI was inversely and independently associated with central arterial or aortic stiffness. These findings suggest that low-BMI may be a risk factor for aortic stiffness in young healthy individuals.

Association of obesity with arterial stiffness: The Multi-Ethnic Study of Atherosclerosis (MESA)

Arterial stiffness (AS) and obesity are recognized as important risk factors of cardiovascular disease (CVD). The purpose of this study was to investigate the relationship between AS and obesity. AS was defined as high augmentation index (AIx) and low elasticity (C1, large artery elasticity; C2, small artery elasticity) in participants enrolled in the Multi-Ethnic Study of Atherosclerosis at baseline. We compared AIx, C1, and C2 by body mass index (BMI) (< 25, 25-29.9, 30-39.9, ⩾ 40 kg/m²) and waist-hip ratio (WHR) (< 0.85, 0.85-0.99, ⩾ 1). The obesity-AS association was tested across 10-year age intervals. Among 6177 participants (62 ± 10 years old, 52% female), a significant inverse relationship was observed between obesity and AS. After adjustments for CVD risk factors, participants with a BMI > 40 kg/m² had 5.4% lower AIx (mean difference [Δ] = -0.82%; 95% CI: -1.10, -0.53), 15.4% higher C1 (Δ = 1.66 mL/mmHg ×10; 95% CI: 1.00, 2.33), and 40.2% higher C2 (Δ = 1.49 mL/mmHg ×100; 95% CI: 1.15, 1.83) compared to those with a BMI < 25 kg/m² (all p for trend < 0.001). Participants with a WHR ⩾ 1 had 5.6% higher C1 (∆ = 0.92 mL/mmHg ×10; 95% CI: 0.47, 1.37) compared to those with a WHR < 0.85. The WHR had a significant interaction with age on AIx and C2, but not with BMI; the inverse relationships of the WHR with AIx and C2 were observed only in participants < 55 years between the normal (WHR < 0.85) and the overweight (0.85 ⩽ WHR < 0.99) groups. Different associations of WHR and BMI with arterial stiffness among older adults should be further investigated.

Impact of Cardiovascular Factors on Pulse Wave Velocity and T otal Vascular Resistance in Different Age Group Patients with Cardiovascular Disorders

Background: Pulse Wave Velocity (PWV) is the propagation speed of the wave-induced along the aorta and arterial tree, each time the heart beats. PWV increases with increased arterial stiffness, thus establishing it as a reliable prognostic marker for cardiovascular morbidity and mortality. On the other hand, Total Vascular Resistance (TVR) is the overall resistance offered by systemic circulation and pulmonary circulation. This resistance needs to be overcome in order to create the flow of blood through the circulatory system. The goal of this study was to investigate the influence of different cardiovascular factors on arterial stiffness and vascular resistance in CVD patient from eastern India population.

Methods: Total of 782 patients with Cardiovascular Disease (CVD) like hypertension, Ischemic heart disease, Congestive cardiac failure and peripheral arterial disease were included to evaluate the cardiovascular hemodynamic and non-hemodynamic parameter by oscillometric method and investigated those factors on PWV and TVR in subjects of both sexes aged between 15 to 87 years.

Results: The old age (> 55 years) was found to have greatest impact on PWV as compared with younger age group. Systolic Blood Pressure (SBP), Heart Rate (HR), augmentation pressure and Body Surface Area (BSA) had a positive association with the PWV. Augmentation Index and Body Mass Index (BMI) had a negative impact on the PWV.

Conclusion: Despite the limitations, like unequal number of male and female participants, wide variation of the age of the subjects and analyzing association of many factors at a time, our large and community-based study show individual blood pressure and pulse pressure depending on complex interaction between large arteries and arterioles. This study sheds light on the relationship between proximal and distal part (PWV and TVR) of the arterial tree as well as their association with different hemodynamic and non-hemodynamic parameters.

A health profile associated with excessive alcohol use independently predicts aortic stiffness over 10 years in black South Africans

OBJECTIVE

Black populations exhibit higher arterial stiffness than whites and suffer a disproportionate burden of cardiovascular disease. It is therefore important to identify modifiable health behaviours predicting large artery stiffness in blacks. We examined whether traditional cardiovascular risk factors and health behaviours of black South Africans predict large artery stiffness 10 years later.

METHODS

We included 650 HIV-free participants (32.8% men) and collected data in rural and urban areas of the North West Province in 2005 and 2015. We collected questionnaire data, anthropometry, blood pressure and determined cardiometabolic and inflammatory markers from blood samples. We measured carotid-femoral pulse wave velocity (PWV) at follow-up.

RESULTS

A total of 25.3% of our population, aged 65 ± 9.57 years, had a PWV exceeding 10 m/s. In multivariable-adjusted regression analyses, the strongest predictors of PWV were mean arterial pressure, age and heart rate (all P < 0.024). Urban locality (R = 0.31, β = 0.12, P = 0.001), self-reported alcohol use (β = 0.11, P = 0.018) and plasma glucose (β = 0.08 P = 0.023) associated positively with PWV at follow-up. We found a negative association between PWV and BMI (β = -0.15, P = 0.001), and no associations with sex, smoking, inflammatory markers, lipids, liver enzymes or antihypertensive medication. When replacing self-reported alcohol with gamma-glutamyltransferase, the latter associated positively with PWV (β = 0.09, P = 0.023).

CONCLUSION

A health profile associated with excessive alcohol use, including an urban setting, elevated plasma glucose and lower BMI predicts large artery stiffness independently of age and blood pressure in black South Africans over 10 years. This observation prompts urgent public health strategies to target alcohol overuse.

Adiposity measures and arterial stiffness in primary care: the MARK prospective observational study

BACKGROUND

The cardiovascular risk of obesity is potentially increased by arterial stiffness.

OBJECTIVE

To assess the relationship of adiposity measures with arterial stiffness in Caucasian adults with intermediate cardiovascular risk.

SETTING

Six Spanish health centres.

PARTICIPANTS

We enrolled 2354 adults (age range, 35-74 years; mean age, 61.4±7.7 years, 61.9% male).

METHODS

This is a cross-sectional study that analyses data from the baseline visit of the improving interMediAte RisK management (MARK) study. The main outcome variables were body mass index (BMI), waist-to-height ratio (WHtR), Clínica Universidad de Navarra-body adiposity estimation (CUN-BAE) body fat percentage and body roundness index (BRI). Vascular function was assessed by the cardio-ankle vascular index (CAVI) with the VaSera device; brachial-ankle pulse wave velocity (baPWV) was determined using a validated equation.

RESULTS

The mean adiposity measures were a BMI of 29.2±4.4, WHtR of 0.61±0.07, CUN-BAE of 35.7±1.7 and BRI of 5.8±1.7. The mean stiffness measures were a CAVI of 8.8±1.2 and baPWV of 14.9±2.5. In multiple linear regression analyses, all adiposity measures were negatively associated with CAVI and baPWV (p<0.01 for all) after adjustment for possible factors of confusion. The proportion of CAVI variability via the adiposity measures were 5.5% for BMI, 5.8% for CUN-BAE, 3.8% for WHtR and 3.7% for BRI. These were higher among diabetic, obese, younger (≤62 years) and non-hypertensive subjects who had similar activity and sedentary profiles.

CONCLUSIONS

Adiposity measures are negatively associated with arterial stiffness measures. The percentage of variation in CAVI explained by its relation to the different measures of adiposity ranges from 5.8% (CUN-BAE) to 3.7% (BRI). In the case of baPWV, it oscillates between 0.7% (CUN-BAE and BMI) and 0.1% (WHtR).

TRIAL REGISTRATION NUMBER

NCT01428934.