| Literature DB >> 33054499 |
Clarence Gill1, Miryoung Lee2, Kristina P Vatcheva3, Nahid Rianon4, Beverly Smulevitz1, David D McPherson1, Joseph B McCormick2, Susan P Fisher-Hoch2, Susan T Laing1.
Abstract
Background Excess visceral adipose tissue (VAT) is a primary driver for the cardiometabolic complications of obesity; VAT-associated cardiovascular disease risk varies by race, but most studies have been done on Non-Hispanics. This study aimed to evaluate the clinical and metabolic correlates of VAT, its association with subclinical atherosclerosis, and the factors affecting this association in Mexican Americans. Methods and Results Participants (n=527) were drawn from the Cameron County Hispanic Cohort (CCHC), on whom a carotid ultrasound to assess carotid intima media thickness and a dual-energy X-ray absorptiometry scan to assess for VAT were obtained. Those in the highest quartiles of VAT were more likely to have hypertension, hypertriglyceridemia, low high-density lipoprotein, diabetes mellitus, and metabolic syndrome. Increased carotid intima media thickness was more prevalent in those in the highest quartile for VAT (57.4% versus 15.4% for the lowest quartile; P<0.001). There was a graded increase in mean carotid intima media thickness with increasing VAT, after adjusting for covariates; for every 10 cm2 increase in VAT, there was an increase of 0.004 mm (SE=0.002; P=0.0299) in mean carotid intima media thickness. However, this association was only seen among second or higher generation US-born Mexican Americans but not among first generation immigrants (P=0.024). Conclusions Excess VAT is associated with indicators of metabolic disorders and subclinical atherosclerosis in Mexican Americans regardless of body mass index. However, acculturation appears to be an important modulator of this association. Longitudinal follow-up with targeted interventions among second or higher generation Hispanics to lower VAT and improve cardiometabolic risk may help prevent premature cardiovascular disease in this cohort.Entities:
Keywords: acculturation; adipose tissue; cardiometabolic risk; health disparities; subclinical atherosclerosis risk factor
Mesh:
Year: 2020 PMID: 33054499 PMCID: PMC7763390 DOI: 10.1161/JAHA.120.017373
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 5.501
Cohort Demographics and Metabolic Characteristics (With Sampling Adjustment)
| Continuous Variable |
Total N=527 | Visceral Adipose Tissue (VAT) Quartile |
| |||
|---|---|---|---|---|---|---|
| 1st | 2nd | 3rd | 4th | |||
| Age, y | 53.6±1.3 | 47.0±2.4 | 50.6±1.8 | 55.2±1.4 | 62.0±2.4 | <0.001 |
| Weight, kg | 78.1±1 | 68.2±2.2 | 75.1±1.4 | 82.2±1.2 | 87.8±1.6 | <0.001 |
| Body mass index, kg/m2 | 30.3±0.3 | 26.7±0.7 | 28.7±0.5 | 31.7±0.5 | 34.1±0.5 | <0.001 |
| Waist circumference, cm | 102.8±0.9 | 93.3±1.9 | 98.4±1.2 | 105.7±1.0 | 114.4±1.1 | <0.001 |
| Hip circumference, cm | 108.3±0.7 | 101.9±1.4 | 105.6±1.1 | 109.8±0.8 | 116.2±1.1 | <0.001 |
| Waist‐to‐hip ratio | 0.95±0.004 | 0.92±0.02 | 0.94±0.01 | 0.97±0.01 | 0.99±0.01 | <0.001 |
| VAT area, cm2 | 176.0±6.9 | 80.9±5.0 | 152.2±1.6 | 198.5±2.5 | 277.5±8.1 | <0.001 |
| Systolic blood pressure, mm Hg | 123.2±1.4 | 117.9±2.6 | 119.7±1.9 | 123.5±1.9 | 131.5±2.8 | 0.001 |
| Diastolic blood pressure, mm Hg | 73.2±0.6 | 69.9±1.4 | 73.2±0.8 | 75.4±1.1 | 74.6±0.9 | 0.0014 |
| Fasting blood glucose, mg/dL | 111.2±2.9 | 99.1±2.9 | 101.2±4.8 | 120.7±9.7 | 125.0±5.7 | 0.0003 |
| Total cholesterol, mg/dL | 184.7±2.4 | 180.8±4.4 | 187.2±4.1 | 189.2±5.0 | 182.9±6.4 | 0.5956 |
| Triglycerides, mg/dL | 153.8±7.5 | 124.4±7.2 | 146.9±11.7 | 153.6±12.0 | 190.5±20.1 | 0.0058 |
| High‐density lipoprotein, mg/dL | 47.0±1.0 | 51.7±2.1 | 48.7±1.6 | 44.8±1.2 | 42.4±1.8 | 0.0013 |
| Low‐density lipoprotein, mg/dL | 107.3±1.9 | 104.3±3.7 | 106.9±3.8 | 114.8±4.3 | 105.0±4.9 | 0.3508 |
| Insulin level, mU/L | 11.4±0.5 | 8.8±0.6 | 11.1±1.1 | 12.4±1.0 | 14.0±1.0 | <0.0001 |
| HOMA‐IR | 3.1±0.2 | 2.2±0.2 | 2.7±0.3 | 3.5±0.3 | 4.1±0.3 | <0.0001 |
| Hemoglobin A1c, % | 6.3±0.1 | 5.9±0.1 | 6.0±0.2 | 6.5±0.2 | 6.8±0.2 | 0.0004 |
| White blood cell count | 6.6±0.1 | 6.4±0.2 | 6.8±0.2 | 6.6±0.2 | 6.9±0.2 | 0.4521 |
| ALT | 35.0±1.4 | 30.1±2.6 | 36.8±3.4 | 36.6±2.4 | 37.4±2.3 | 0.1318 |
| AST | 25.2±1.1 | 22.4±2.0 | 26.5±3.3 | 25.3±1.3 | 26.7±1.8 | 0.3636 |
| Number of years lived in Brownsville | 28.1±1.6 | 20.9±1.4 | 25.0±1.8 | 30.4±2.9 | 36.6±3.6 | 0.0002 |
| Household income per year (1K$) | 29.1±2.4 | 31.5±6.0 | 30.2±3.8 | 33.0±4.6 | 22.2±2.4 | 0.0737 |
| Education level (y) | 11.4±0.4 | 11.6±0.8 | 12.6±0.7 | 11.2±0.7 | 10.3±1.0 | 0.2218 |
Student's t‐test for continuous variables and Rao‐Scott Chi‐Square Test for categorical variables. ALT indicates alanine transaminase; AST, aspartate transaminase; DM, diabetes mellitus; HOMA‐IR, homeostasis model assessment insulin resistance; and VAT, visceral adipose tissue.
Carotid Ultrasound Findings
| Variable |
Total | VAT Quartile [Mean±SE or % (SE)] |
| |||
|---|---|---|---|---|---|---|
| 1st | 2nd | 3rd | 4th | |||
| Mean cIMT, mm | 0.74±0.02 | 0.66±0.02 | 0.71±0.02 | 0.77±0.03 | 0.83±0.05 | <0.001 |
| Mean cIMT ≥ 75th percentile for age and sex (%) | 35.49 (3.65) | 15.38 (3.76) | 28.54 (5.28) | 42.51 (6.90) | 57.36 (7.07) | <0.001 |
| Presence of carotid plaque (%) | 21.48 (3.14) | 17.1 (5.15) | 13.86 (3.88) | 16.73 (5.19) | 36.83 (7.96) | 0.011 |
| Abnormal carotid study (%) | 43.18 (3.46) | 25.9 (5.47) | 31.99 (5.40) | 49.77 (6.74) | 65.76 (6.36) | <0.001 |
cIMT indicates carotid intima media thickness; and VAT, Visceral Adipose Tissue.
Student's t‐test for continuous variables and Rao‐Scott Chi‐Square Test for categorical variables.
Multiple Linear Regression Results in Predicting Mean cIMT
| Model 1 (Unadjusted) † | Model 2† | Model 3† | Model 4† | |||||
|---|---|---|---|---|---|---|---|---|
| Mean cIMT (mm)* | β (SE) | 95%CI | β (SE) | 95%CI | β (SE) | 95%CI | β (SE) | 95%CI |
| VAT area (per 10 cm2) | 0.010 (0.003)‡ | (0.004, 0.015) | 0.004 (0.001)§ | (0.001, 0.007) | 0.005 (0.002) ǁ | (0.001, 0.009) | 0.004 (0.002) ǁ | (0.0004, 0.008) |
| Age (per 1 years) | … | 0.007 (0.001)‡ | (0.006, 0.008) | 0.007 (0.001)‡ | (0.005, 0.008) | 0.006 (0.001)‡ | (0.005, 0.008) | |
| Sex (male vs. female) | ‐‐ | 0.093 (0.019)‡ | (0.056, 0.131) | 0.090 (0.018)‡ | (0.056, 0.126) | 0.086 (0.018)‡ | (0.052, 0.122) | |
| BMI (per 1 kg/m2) | … | … | ‐0.002 (0.002) | (−0.006, 0.002) | 0.002 (0.002) | (−0.006, 0.002) | ||
| SBP (per 10 mm Hg) | … | … | … | 0.010 (0.005) | (−0.001, 0.019) | |||
| HbA1c (per 1 %) | … | … | … | 0.012 (0.007) | (−0.002, 0.025) | |||
| R2 (%) | 0.18 | 0.50 | 0.50 | 0.52 | ||||
95%CI indicates 95% Confidence Interval; BMI, body mass index; cIMT, carotid intima media thickness; HbA1c, hemoglobin A1c; R2 = Adjusted multiple R2; SBP, systolic blood pressure; VAT, Visceral Adipose Tissue; and β, regression coefficient.
Model 1: Multiple linear regression model including only VAT area in the model.
Model 2: Model 1+age, sex.
Model 3: Model 2+BMI.
Model 4: Model 3+SBP, HbA1c.
Per 10 cm2 of VAT area, beta coefficient (95% CI).
Variables were included in models.
P<0.001.
P<0.01.
P<0.05.
Figure 1Weighted mean carotid intima media thickness (cIMT) across vascular adipose tissue (VAT) quartiles by generational status after adjusting for age, sex, body mass index, hemoglobin A1c, and systolic blood pressure, generated from an adjusted linear regression model (weighted mean cIMT±SE).
The P value pertains to the hypothesis that there is a significant overall interaction effect between generational status and VAT quartiles.