Alanine Aminotransferase levels are Associated with Cardiometabolic Risk Markers in Hispanic/Latino Farmworkers
Anas Raed1, Norman K. Pollock1, Jigar Bhagatwala1, Pamela Cromer2, Andrew Mazzoli3, Haidong Zhu1, Tricia Francisco1, Jessica Bilz1, Rachel Azevedo1, Janice Clarke1, Seung Su Lee1, Aarthi Murugappan1, Vishwajeeth Pasham1, Deborah Stewart1, Yutong Dong1, Ying Huang1, Samip J. Parikh1, Debbie Layman2, and Yanbin Dong1*
Affiliation
1Georgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1640, Augusta 30912, GA, USA
2College of Nursing, Augusta University, Augusta, GA, USA
3Respiratory Therapy Program, Augusta University, Augusta, GA, USA
Corresponding Author
Yanbin Dong, MD, PhD, Georgia Prevention Institute, Medical College of Georgia, Augusta University, 1499 Walton way, HS-1755, Augusta, GA, 30901, Tel: 706-721-5014; E-mail: ydong@augusta.edu
Citation
Dong, Y., et al. Alanine Aminotransferase Levels are Associated with Cardiometabolic Risk Markers in Hispanic/Latino Farmworkers. (2018) J Environ Health Sci 4(1): 20- 25.
Copy rights
© 2018 Dong, Y. This is an Open access article distributed under the terms of Creative Commons Attribution 4.0 International License.
Keywords
Alanine aminotransferase; Cardiovascular disease; Hispanics; Farmworkers
Abstract
Introduction: Cardiovascular diseases (CVD) are major causes of mortality among U.S. Hispanic/Latino farmworkers. Since Hispanics/Latinos, in general, are twice as likely as non-Hispanic whites to have elevated alanine aminotransferase (ALT), a biomarker of suspected nonalcoholic fatty liver disease, it is vital to understand the CVD risk factor-ALT relationship in Hispanic/Latino farmworkers. This study investigated the elevated ALT status in Hispanic/Latino farmworkers and the relationships between ALT and CVD risk markers.
Methods: In 210 Hispanic/Latino farmworkers (48% female; aged 35.2 ± 9.2 years), fasting blood samples were measured for serum ALT, and elevated ALT was defined by > 43 U/L. CVD risk markers were measured with standard methods and defined according to the definitions of metabolic syndrome.
Results: The overall prevalence for elevated ALT was 12.4%. Significant linear upward trends across tertiles of serum ALT were observed for body mass index, waist circumference, fasting glucose, and triglycerides after adjusting for age and sex (all P-trend < 0.05). Multinomial logistic regression, adjusting for age and sex, revealed that compared to individuals with the lowest ALT levels (tertile1), the adjusted odds ratios for overweight/obesity, prediabetes, elevated triglycerides, and metabolic syndrome were 3.2 (95% CI:1.2-8.6), 3.7 (95% CI:1.6-8.4), 3.0 (95% CI:1.5-6.2), and 2.7 (95% CI:1.3-5.6), respectively, for those in the highest ALT levels (tertile 3). No association was found between serum ALT and blood pressure or HDL-cholesterol.
Conclusions: Our findings provide evidence for the high prevalence of elevated ALT levels in Hispanic/Latino farmworkers and suggest that increased serum ALT is associated with multiple markers of CVD risk.
Introduction
Occupational hazards among agricultural workers has been the primary focus of research, with minimal consideration givento chronic diseases (Agricultural Safety, NIOSH, 2016). Recently, there has been growing concern of increased cardiovascular disease (CVD) riskin the U.S. farm worker population (Arcury, et al. 2007; Emmi, et al. 2010; Castaneda, et al. 2015), of which Hispanics/Latinos make up the majority (~80%) of this workforce (Carroll, et al. 2005).
Recent evidence has revealed that the U.S. Hispanic/Latino population is at high risk of CVD morbidity and mortality(Roger, V.L., et al. 2012).Risk factors and comorbidities of CVD, including obesity, type 2 diabetes, hypertension and hyperlipidemia, are especially elevated in Hispanic/Latino groups (Daviglus, M.L., et al. 2012) and may be attributed to the high risk of nonalcoholic fatty liver disease (NAFLD) in this population (Sherif ZA, et al. 2016).Hispanics/Latinos are at greater risk of NAFLD (Ruhl, C.E., et al. 2003; Clark, J.M., et al. 2003; Browning J.D., et al. 2004; Lazo, M., et al. 2013; Smits, M.M., et al. 2013; Schneider, A.L., et al. 2014),and obesity is a key factor in the development of fatty liver disease (Pan, J.J., et al. 2014).The Hispanic/Latino population represent done-half of the U.S. population growth from 2000 to 2010, and they are estimated to constitute one-third of the U.S population within the next three decades; therefore, NAFLD may present a concern to the U.S. health care system (Ennis, S.R., et al. 2010).
The mild elevation of aminotransferase levels (less than five times the upper limit of normal) in asymptomatic patients could be attributed to NAFLD, alcohol consumption, or viral hepatitis (Oh RC and Hustead, T.R., 2011). NAFLD is the most common cause (80-90%) of elevated aminotransferase levels in U.S. adults (Angulo, P., 2002; Ioannou, G.N., et al. 2006). Hence, ALT elevation is considered as a biomarker for suspected NAFLD (Bayard, M., et al. 2006).
Despite the increased prevalence rate of NAFLD in the general U.S. population of Hispanics/Latinos, it is unknown whether the NAFLD prevalence is greater in the Hispanic/Latino farm worker population. Given that CVD is a primary cause of mortality among U.S. Hispanic/Latino individuals combined with the fact that U.S. Hispanics/Latinos are twice as likely as non-Hispanic whites to have elevated alanine aminotransferase (ALT) levels, it is vital to understand relationships between CVD risk factors and elevated ALT in this population, particularly in farm workers. Therefore, the purpose of this study was to determine the prevalence of elevated serum ALT levels in Hispanic/Latino farm workers. In addition, we determined relationships between serum ALT levels and markers of CVD risk.
Materials and Methods
Participants
The participants in this cross-sectional study were 210 Hispanic/Latino adults in a community outreach worksite project performed by the university as part of community partnership between Augusta University and Costa-Layman Farms to examine health risk concerns of Hispanic/Latino horticultural farm workers. All Hispanic/Latino employees at the plant nursery in Trenton, South Carolina were invited to participate in this study. Participants with history of hypertension or diabetes were excluded from the study. Informed consent was obtained from all participants. The Institutional Review Board at Augusta University approved the study. All measurements were performed on-site at the plant nursery at Costa-Layman Farms between 2013 and 2015.
Anthropometry and blood pressure
Height and weight were obtained according to standard procedures, using a wall-mounted stadiometer (Tanita Corporation of American, Arlington Heights, IL) and calibrated electronic scale (model CN2OL; Cardinal Detecto, Webb City, MO). Body mass index (BMI) was calculated using Center of disease Control and Prevention formula, weight (kg)/height (m²) for which we used for body weight classification: < 25 kg/m² (normal weight), 25 - 29.9 kg/m² (overweight), or ≥ 30 kg/m² (obese) (Flegal, K.M., et al. 1998). A waist circumference (centimeters) was measured with minimal clothing at the level of umbilicus. Elevated waist circumference was defined as >102 cm for males, and > 88 cm for females (NCEP, 2002). After 5 minutes of rest, systolic (SBP) and diastolic blood pressures (DBP) were measured twice, each at least 1 minute apart, in sitting position using manual mercury sphygmomanometer. The averages of two measurements were reported and used for analyses. Prehypertension was defined as SBP ≥ 120 and < 140 or DBP ≥ 80 and < 90 mmHg based on the American Heart Association (AHA) definition (Chobanian, A.V., et al. 2003).
Biochemical Measurements
Venous blood was collected after an overnight fast, and all blood samples were centrifuged immediately and stored at -80°C until required for analysis. Serum concentrations of glucose, glycosylated hemoglobin (HbA1C), lipid profile (high density lipoprotein-cholesterol [HDL- cholesterol] and triglycerides), and ALT were assessed by standard clinical laboratory methods at Premier Medical Laboratory Services (Greenville, SC). Fasting glucose was measured using hexokinase and glucose-6-phosphate dehydrogenase enzymatic method, while HbA1C was determined based on turbidimetric inhibition immunoassay. Lipid parameters were measured by an enzymatic colorimetric method, using automated analyzer (Cobas c 311/501 and Cobas c 502) and Cobas enzymatic reagents. ALT was measured using the oxoglutarate reaction. Prediabetes was defined as fasting glucose 100 - 125 mg/dL, or HbA1C 5.7 - 6.4% based on the American Diabetes Association guidelines, (2012). Elevated triglycerides were defined as ≥ 150 mg/dL, and low HDL-cholesterol was defined as < 40 mg/dL for males and < 50 mg/dL for females, respectively, based on National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP III) guidelines (NCEP, 2002). The metabolic syndrome was defined as having three or more of the following cardiometabolic risk factors: elevated waist circumference, prehypertension, prediabetes, elevated triglycerides, low HDL-cholesterol (NCEP, 2002; American Diabetes Guidelines, 2012). Elevated ALT was defined based on the third National Health and Nutrition Examination Survey (NHANES) reference laboratory, which is higher than the upper limit of normal value as ALT > 43 U/L (Ruhl, C.E., et al. 2003; Ruhl, C.E, and Everhart, J.E., 2003).
Statistical analyses
We examined the ALT-cardiometabolic risk factor relationship by comparing the cardiometabolic risk factor variables across tertile groups of ALT (Tertile 1 = 6-15 U/L, Tertile 2 = 16-24 U/L, Tertile 3 = 25-169 U/L). For comparison of the dependent variables (i.e., BMI, waist circumference, blood pressure, fasting glucose, HbA1C, triglycerides, and HDL-cholesterol), an F test was performed to test the assumption of homogeneity of regression slopes for the interactions between the independent variable (i.e., ALT tertile groups) and the covariates (age and sex). Because there were no interactions, ANCOVA with polynomial contrast was used to compare the dependent variables across ALT tertile groups after adjusting for the covariates. If the trend for difference in the dependent variable of interest across a tertile group of ALT was significant (P < 0.05), differences among individual tertiles, adjusted for multiple comparisons, were tested by using Tukey’s honestly significant difference adjustment. Multinomial logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the probability of outcome variables (i.e., overweight/obesity, elevated waist circumference, prehypertension, prediabetes, elevated triglycerides, low HDL-cholesterol, and metabolic syndrome) according to the predictor variable (i.e., tertiles of ALT) after adjusting for age and sex. All statistical analyses were conducted using SPSS software (version 23, IBM SPSS Statistics, Chicago, IL), and statistical significance was set at a value of P < 0.05.
Results
Participant characteristics of the total sample are presented in Table 1. The sample was composed of 210 U.S. Hispanic/Latino adults with a nearly equal distribution of males and females with a mean age of approximately 35 years. In addition, over three-quarter of the participants were overweight or obese.
Table 1: Characteristics of the Hispanic/Latino farm workers participants
Characteristic | Value |
---|---|
N | 210 |
Age, y | 35.2 ± 9.2 |
Females, % | 48.1 |
Anthropometrics | |
BMI, kg/m2 | 28.5 ± 4.8 |
Overweight/obesity status, %1 | 79.2 |
Waist circumference, cm | 92.8 ± 10.4 |
Elevated waist circumference, %2 | 38.4 |
Blood pressure | |
Systolic BP, mm Hg | 120.4 ± 13.7 |
Diastolic BP, mm Hg | 76.9 ± 9.9 |
Prehypertension, %3 | 41.5 |
Diabetes-related measures | |
Fasting glucose, mg/dL | 92.7 ± 10.5 |
HbA1c, % | 5.6 ± 0.3 |
Prediabetes, %4 | 29.5 |
Lipids | |
Triglycerides, mg/dL | 160.6 ± 94.4 |
Elevated triglycerides, %5 | 39.2 |
HDL-cholesterol, mg/dl | 47.7 ± 12.2 |
Low HDL-cholesterol, %6 | 43.5 |
Metabolic syndrome, %7 | 31.0 |
ALT, U/L | 24.5 ± 19.5 |
Elevated ALT, %8 | 12.4 |
1BMI of 25 to 29.9 is considered overweight, while BMI ≥ 30 is considered obese; 2 Defined as waist circumference >102 cm for men and >88 cm for women; 3 Defined as systolic BP 120 - 139 mm Hg and/or diastolic BP 80 - 89 mm Hg; 4 Defined as a fasting blood glucose of 100 - 125 mg/dl and/or A1C test of 5.7 - 6.4%; 5 Defined as triglycerides ≥ 150 mg/dL; 6 Defined as HDL cholesterol < 40 mg/dL for men and < 50 mg/dL for women; 7 Metabolic syndrome was defined as having three or more of the following cardiovascular risk factors: elevated waist circumference, prehypertension, prediabetes, elevated triglycerides, low HDL cholesterol; 8 Defined as ALT levels > 43 U/L.
When cardiometabolic risk variables were compared across tertiles of ALT adjusting for age and sex (Figure 1 and Supplemental Table 1), there were significant linear upward trends for BMI, waist circumference, fasting glucose, and triglycerides (all P < 0.05). There were no differences in blood pressure, HbA1C, or HDL-cholesterol across tertiles of ALT (all P > 0.05).
Figure 1: Cardiometabolic risk factors across tertiles of serum alanine aminotransferase levels in Hispanic/Latino farm worker participants. Outcome variables are adjusted means ± SEM controlling for age and sex. Values in a row with superscripts without a common letter differ, P < 0.05.
The prevalence and adjusted odds ratios for the presence of overweight/obesity, elevated waist circumference, prehypertension, prediabetes, elevated triglycerides, low HDL-cholesterol, and metabolic syndrome across tertiles of ALT are presented in Table 2. There were a higher percentage of Hispanic/Latino adults with overweight/obesity status, prediabetes, elevated triglycerides, and metabolic syndrome in the highest tertiles of ALT compared with the middle and lowest tertiles (all P < 0.05). Multinomial logistic regression, adjusting for age and sex, revealed that compared to individuals with the lowest ALT levels (tertile 1), the adjusted odds ratios for overweight/obesity, prediabetes, elevated triglycerides, and metabolic syndrome were significantly higher than for those in the highest ALT levels (tertile 3), respectively (all P < 0.03) No association was observed between tertiles of ALT and elevated waist circumference, prehypertension, or low HDL-cholesterol (all P > 0.05).
Table 2: Prevalence and adjusted odds ratios (95% CI) for cardiometabolic risk factors across tertiles of serum ALT
Serum ALT, U/La | ||||
---|---|---|---|---|
Tertile 1 11 U/L (6-15 U/L) | Tertile 2 19 U/L (16-24 U/L) | Tertile 3 43 U/L (25-169 U/L) | P-trend | |
n | 73 | 66 | 71 | |
Overweight/obesity | ||||
Prevalence, % | 69.6 | 81.3 | 87.3 | 0.02 |
Adjusted OR (95% CI)b | 1.0 | 1.9 (0.7, 4.9) | 3.2 (1.2, 8.6)c | 0.02 |
Elevated waist circumference | ||||
Prevalence, % | 41.1 | 41.7 | 38.2 | 0.76 |
Adjusted OR (95% CI)b | 1.0 | 1.3 (0.5, 3.4) | 1.3 (0.5, 3.1) | 0.62 |
Prehypertension | ||||
Prevalence, % | 46.4 | 64.6 | 58.2 | 0.21 |
Adjusted OR (95% CI)b | 1.0 | 1.9 (0.8, 4.4) | 1.3 (0.6, 2.9) | 0.56 |
Prediabetes | ||||
Prevalence, % | 16.4 | 33.3 | 39.4 | < 0.01 |
Adjusted OR (95% CI)b | 1.0 | 2.5 (1.1, 5.7)c | 3.7 (1.6, 8.4)c | < 0.01 |
Elevated triglycerides | ||||
Prevalence, % | 26.0 | 39.4 | 52.9 | < 0.01 |
Adjusted OR (95% CI)b | 1.0 | 1.8 (0.9, 3.7) | 3.0 (1.5, 6.2)c | < 0.01 |
Low HDL-cholesterol | ||||
Prevalence, % | 47.9 | 45.5 | 37.7 | 0.22 |
Adjusted OR (95% CI)b | 1.0 | 1.0 (0.5, 2.0) | 0.8 (0.4, 1.6) | 0.56 |
Metabolic syndrome | ||||
Prevalence, % | 23.3 | 37.9 | 40.8 | 0.03 |
Adjusted OR (95% CI)b | 1.0 | 2.1 (0.99, 4.4) | 2.7 (1.3, 5.6)c | 0.01 |
aValues are mean (range) in a given tertile.
b Data are adjusted for age and sex.
cSignificantly different from the reference group, tertile 1 (P < 0.05).
Discussion
To our knowledge, this is the first study to investigate the prevalence of elevated ALT, a biomarker for suspected NAFLD in Hispanic/Latino farm workers. In addition, we are the first to report in this population that elevated ALT status is associated with multiple cardiometabolic abnormalities, including presence of overweight/obesity, prediabetes, elevated triglycerides, and metabolic syndrome.
The prevalence of elevated ALT in our sample of U.S. Hispanic/Latino farm workers was substantially greater compared to Hispanics/Latinos from NHANES studies (Ruhl, C.E., et al. 2003; Clark, J.M., et al. 2003). The prevalence rate of suspected NAFLD was 12.4% in our study, whereas Ruhl, et al.(2003) and Clark, et al. (2003) reported suspected NAFLD prevalence rates of 8.4% and 9.9%, respectively, based on data from the third NHANES (1988-1994). It is possible that the high prevalence of NAFLD in our sample of Hispanic/Latino farm workers could be due to the high prevalence of overweight/obesity (79.2%). When we compared tertiles of cardiometabolic risk factors across tertiles of ALT, we observed linear associations of ALT with BMI and waist circumference. This association could be attributed to multiple factors such as abnormalities in free fatty acids and glucose metabolism (Fabbrini, E., et al. 2010). In obese patients, the rate of releasing free fatty acids from adipose tissue and delivery to liver and skeletal muscle is increased, resulting concurrently in increase in intrahepatic triglycerides and insulin resistance (Fabbrini, E., et al. 2010). Insulin resistance may be the link between adiposity and NAFLD (Fabbrini, E., et al. 2010).On the other hand, data from the Agricultural Workers Survey 2001-2002 have shown that U.S. farm workers have more language barriers, lower education level, and less health insurance compared to non-farm workers (Carroll, et al. 2005).This would suggest health risks in general are greater in the farm worker population.
In further analysis, we revealed that compared to individuals with the lowest ALT levels (tertile 1), the adjusted odds ratio for metabolic syndrome was 2.7 (95% CI: 1.3 - 5.6) for those in the highest ALT levels (tertile 3). Several studies have reported that NAFLD is associated with metabolic syndrome (Marchesini, G., et al. 2005; Musso, G., et al. 2008). A study of Chinese people demonstrated that compared to people with the lowest ALT levels (quintile 1), the adjusted odds ratio for metabolic syndrome for both male and female were 4.6 (95%) and 3.9 (95%), respectively, for those in the highest ALT levels (quintile 5) (Lonardo, A., et al. 2015). It is possible that insulin resistance and elevated triglycerides in the presence of NAFLD may play roles in the pathophysiology of metabolic syndrome (Lonardo, A., et al. 2015). In fact, we found that the odds ratios for prediabetes and triglycerides were 3.7 (95% CI: 1.6 - 8.4) and 3.0 (95% CI: 1.5 - 6.2), respectively, for those in the highest ALT levels (tertile 3). The mechanism through which NAFLD is linked to diabetes may be explained by hepatic insulin resistance (Vanni E, et al. 2010). Hepatic intracellular diacylglycerols in lipid droplet could inhibit insulin signaling by activation of PKC, which also blocks insulin receptor kinase phosphorylation (Schindhelm, R.K., et al. 2007). The elevated triglycerides among NAFLD participants are explained by hepatic insulin resistance. One of insulin’s actions is to restrain production of VLDL (Vanni E, et al. 2010). In the hepatic insulin resistance status among patients with NAFLD, insulin is not able to inhibit VLDL production, which leads to liver overproduction of TG-rich VLDL (Baratta, F., et al. 2015). In addition, factors such as elevated uric acid, high fructose consumption, thyroid stimulating hormone, intestinal microbiota, and vitamin D deficiency may also be potential causes for progressing NAFLD to metabolic syndrome (Schindhelm, R.K., et al. 2007).
The study limitations should be acknowledged. Given that our study used cross-sectional data, we cannot be certain that elevated ALT has a direct effect on the cardiometabolic risk or vice versa. Second, almost 80% of individuals with NAFLD have normal ALT levels; therefore, the diagnosis of NAFLD via elevated ALT could underestimate the prevalence of NAFLD by imaging and biopsy (Browning, J.D., et al. 2004).Third, we did not collect a history of excessive alcohol consumption, hepatitis B or C infection, which might explain ALT elevation (Oh, R.C., and Hustead, T.R., 2011). However, study findings from NHANES 1988-1994, NHANES 1999-2002, and other studies reported that 80-90% of elevated ALT was NAFLD(Clark, J.M., et al. 2003; Angulo, P., 2002; Ioannou, G.N., et al. 2006), suggesting that our study findings are likely generalizable to many other settings. Fourth, given that participants were recruited from only one farm, the study findings may be generalized to Hispanic/Latino farm workers. In addition, our disease definition was based on a single ALT measurement; however, we elected to be conservative and use the relatively high ALT cutoff (> 43 U/L) for our analyses, as recommended in prior investigations (Ruhl, C.E., et al. 2003; Ruhl, C.E., and Everhart, J.E., 2003).
Conclusion
In conclusion, our data suggest that the U.S. Hispanic/Latino farm worker population may be at greater risk for NAFLD than the general U.S. Hispanic/Latino population, a racial/ethnic group already experiencing the highest rates of NAFLD compared to other racial/ethnic groups. Also, this study shows that Hispanic/Latino farm workers with high ALT status have higher cardiometabolic risk factors, namely, overweight/obesity, prediabetes, elevated triglycerides, and metabolic syndrome. Additional research is needed in the Hispanic/Latino population, particularly in farm workers, to assess long-term implications of elevated ALT levels with NAFLD and CVD.
Acknowledgements and compliance with ethical standards
The authors would like to thank the study participants and the research staff who made this study possible. The study was funded by the Institute of Preventive and Public Health at Augusta University. Prior to participation, all study participants gave written informed consent. The study was approved by the Institutional Review Board at Augusta University. This study was performed in accordance with the Helsinki Declaration of 1975, as revised in 2000.The study protocol has been reviewed and approved by the ethics/institutional review board at Augusta University.
Conflict of Interest: The authors report no conflicts of interest
Funding Support: The study was funded by Institute of Public and Preventive Health, Augusta University
Financial Disclosure: The authors have indicated that they have no financial relationships relevant to this article to disclose.
Abbreviations: AU: Augusta University; ALT: Alanine Aminotransferase; CVD: Cardiovascular Diseases; NAFLD: Nonalcoholic Fatty Liver Disease; BMI: Body Mass Index; SBP: Systolic Blood Pressure, DBP: Diastolic Blood Pressure; HbA1C: Glycosylated Hemoglobin; HDL-cholesterol: High Density Lipoprotein Cholesterol; NHANES: National Health and Nutrition Examination Survey.
Supplemental Table 1: Cardiometabolic risk factors across tertiles of serum ALT1.
Serum ALT, U/L | ||||
---|---|---|---|---|
Tertile 1 11 U/L (6-15 U/L) | Tertile 2 19 U/L (16-24 U/L) | Tertile 3 43 U/L (25-169 U/L) | P-trend | |
n | 73 | 66 | 71 | |
BMI, kg/m2 | 27.0 ± 0.6b | 29.2 ± 0.7a | 29.3 ± 0.6a | 0.02 |
Waist circumference, cm | 90.5 ± 1.4b | 93.7 ± 1.5a | 94.3 ± 1.4a | 0.048 |
Systolic BP, mm Hg | 118 ± 2 | 122 ± 2 | 121 ± 2 | 0.33 |
Diastolic BP, mm Hg | 75 ± 1 | 78 ± 1 | 77 ± 1 | 0.24 |
Fasting glucose, mg/dL | 89.4 ± 1.2b | 93.3 ± 1.2a | 95.6 ± 1.2a | < 0.01 |
HbA1c, % | 5.5 ± 0.1 | 5.6 ± 0.1 | 5.6 ± 0.1 | 0.28 |
Triglycerides, mg/dL | 132.5 ± 10.6b | 157.0 ± 11.1b | 194.5 ± 10.9a | < 0.01 |
HDL-cholesterol, mg/dl | 47.1 ± 1.4 | 47.3 ± 1.5 | 48.6 ± 1.5 | 0.47 |
Abbreviations: ALT; alanine aminotransferase; BMI, body mass index; BP, blood pressure; HbA1c, hemoglobin A1c.
1Values are mean + SEM adjusted for age and sex. Values in a row with superscripts without a common letter differ, P < 0.05.
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