Association of Variability and Hypertensive Loads in 24-h Blood Pressure With Mortality and Cardiovascular Risk.

BACKGROUND: Evidence shows that high 24-h blood pressure (BP) variability increases cardiovascular risk. We investigated whether 24-h BP variability relates to mortality and cardiovascular risk due to inherent variability and/or hypertensive loads in 24-h BP. METHODS: A total of 1,050 participants from the Maracaibo Aging Study (mean age, 66 years; women, 67.2%) underwent 24-h ambulatory BP monitoring and were followed between 2001 and 2016. To evaluate inherent BP variability, we used average real variability (ARV) as it captures variability among consecutive BP readings. 24-h systolic BP load was the proportion (%) of systolic BP readings ≥130 mm Hg during the daytime and ≥110 during the nighttime. Our primary endpoint was total mortality and major adverse cardiovascular endpoints (MACE). Statistics included Cox proportional models. RESULTS: During a median follow-up of 8.3 years, 299 participants died and 210 experienced MACE. Each +2 mm Hg (corresponding to 1-standard deviation) higher 24-h systolic ARV (mean value, 9.0 ±â€…2.0 mm Hg) was associated with higher hazard ratios (HRs) for mortality by 1.28-fold (95% confidence interval [CI], 1.14-1.43) and for MACE by 1.24-fold (95% CI, 1.08-1.42). Each 30% higher 24-h systolic BP load (median value, 63%) was associated with mortality and MACE with HRs of 1.29 (95% CI, 1.15-1.46) and 1.28 (95% CI, 1.10-1.48); respectively. After models were additionally adjusted by BP level, only ARV was associated with mortality (HR, 1.17; 95% CI, 1.04-1.33) and MACE (HR, 1.16; 95% CI, 1.00-1.34). CONCLUSIONS: High ARV and hypertensive loads in 24-h systolic BP were associated with mortality and cardiovascular risk, however, only ARV is associated independently of the BP level.

Comparative analysis of all-terrain vehicles, motorcycle and automobile-related trauma in a rural border community of the USA.

INTRODUCTION: There is widespread use of all-terrain vehicles (ATVs) in the USA for both work-related and recreational activities. In this study, we aimed to determine the difference in injury severity, Glasgow Coma scales and length of stay between ATV-related injuries and injuries sustained from motorcycles (MOTOs) and automobiles (AUTOs). METHODS: We retrospectively analysed ATV, MOTO and AUTO injuries from a Level 2 Trauma Center between 01 January 2015 and 31 August 2020. Proportional odds regression analyses, as well as multivariable regression models, were used to analyse the data. RESULTS: There were significantly more male and paediatric patients that suffered ATV-related injuries compared with MOTO or AUTO injuries. Victims of ATV-related injuries were also more likely to have open fractures. Paediatric patients were less likely to sustain an injury from either AUTO or MOTO accidents compared with ATV accidents. Patients with no drug use during injury and those who used protective equipment such as seat belts and child seats were significantly associated with lower Injury Severity Scores and higher Glasgow Coma Scale scores, indicating less severe injuries. DISCUSSION: Paediatric patients are very likely to suffer sequela and long-term disability due to the severity of ATV-related injuries. Public awareness campaigns to educate our population, especially our youth, about the danger of ATV use are highly needed.

A comparison of statistical methods for modeling count data with an application to hospital length of stay.

BACKGROUND: Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment of interest, or as an important risk factor for adverse events. Therefore, understanding hospital LOS variability is always an important healthcare focus. Hospital LOS data can be treated as count data, with discrete and non-negative values, typically right skewed, and often exhibiting excessive zeros. In this study, we compared the performance of the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) regression models using simulated and empirical data. METHODS: Data were generated under different simulation scenarios with varying sample sizes, proportions of zeros, and levels of overdispersion. Analysis of hospital LOS was conducted using empirical data from the Medical Information Mart for Intensive Care database. RESULTS: Results showed that Poisson and ZIP models performed poorly in overdispersed data. ZIP outperformed the rest of the regression models when the overdispersion is due to zero-inflation only. NB and ZINB regression models faced substantial convergence issues when incorrectly used to model equidispersed data. NB model provided the best fit in overdispersed data and outperformed the ZINB model in many simulation scenarios with combinations of zero-inflation and overdispersion, regardless of the sample size. In the empirical data analysis, we demonstrated that fitting incorrect models to overdispersed data leaded to incorrect regression coefficients estimates and overstated significance of some of the predictors. CONCLUSIONS: Based on this study, we recommend to the researchers that they consider the ZIP models for count data with zero-inflation only and NB models for overdispersed data or data with combinations of zero-inflation and overdispersion. If the researcher believes there are two different data generating mechanisms producing zeros, then the ZINB regression model may provide greater flexibility when modeling the zero-inflation and overdispersion.

Impact of accountable care organizations on acute cholecystitis outcomes in the Rio Grande Valley.

BACKGROUND: Accountable care organizations through the Affordable Care Act are to improve Medicare beneficiaries' health while reducing costs. We hypothesize that this model may shift care, disease burden, and costs to nonaffiliated hospital facilities in patients with acute cholecystitis. METHODS: A retrospective difference-in-differences analysis was performed to compare severity, postoperative complications, diagnostic modality, length of stay, and costs in patients with acute cholecystitis from a post-accountable care organization implementation period (January 2014 through December 2015) to a pre-accountable care organization period (January 2011 through December 2012). RESULTS: Analysis of 400 patients with acute cholecystitis revealed the post-accountable care organization patients had significantly (P < .0001) higher disease severity (14.4% vs 8.4%), emergency admissions (90.1 vs 74.2%), computed tomography scans (55.5% vs 27.8%), prolonged length of stay (5.2 vs 3.9 days), and a 30% (P < .0003) increase in total costs. CONCLUSION: These data are consistent with the hypothesis that the introduction of accountable care organizations resulted in a higher morbidity, more emergency admissions, more extensive management, a prolonged length of stay, and increased cost in patients with acute cholecystitis. These data support the position that accountable care organizations may shift costs from the primary care setting to nonaffiliated accountable care organization hospitals, provide a lesser level of care, and thus potentially failing their primary mandates.

Social distancing and testing as optimal strategies against the spread of COVID-19 in the Rio Grande Valley of Texas.

At the beginning of August 2020, the Rio Grande Valley (RGV) of Texas experienced a rapid increase of coronavirus disease 2019 (abbreviated as COVID-19) cases and deaths. This study aims to determine the optimal levels of effective social distancing and testing to slow the virus spread at the outset of the pandemic. We use an age-stratified eight compartment epidemiological model to depict COVID-19 transmission in the community and within households. With a simulated 120-day outbreak period data we obtain a post 180-days period optimal control strategy solution. Our results show that easing social distancing between adults by the end of the 180-day period requires very strict testing a month later and then daily testing rates of 5% followed by isolation of positive cases. Relaxing social distancing rates in adults from 50% to 25% requires both children and seniors to maintain social distancing rates of 50% for nearly the entire period while maintaining maximum testing rates of children and seniors for 150 of the 180 days considered in this model. Children have higher contact rates which leads to transmission based on our model, emphasizing the need for caution when considering school reopenings.

Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts.

The application, timing, and duration of lockdown strategies during a pandemic remain poorly quantified with regards to expected public health outcomes. Previous projection models have reached conflicting conclusions about the effect of complete lockdowns on COVID-19 outcomes. We developed a stochastic continuous-time Markov chain (CTMC) model with eight states including the environment (SEAMHQRD-V), and derived a formula for the basic reproduction number, R0, for that model. Applying the [Formula: see text] formula as a function in previously-published social contact matrices from 152 countries, we produced the distribution and four categories of possible [Formula: see text] for the 152 countries and chose one country from each quarter as a representative for four social contact categories (Canada, China, Mexico, and Niger). The model was then used to predict the effects of lockdown timing in those four categories through the representative countries. The analysis for the effect of a lockdown was performed without the influence of the other control measures, like social distancing and mask wearing, to quantify its absolute effect. Hypothetical lockdown timing was shown to be the critical parameter in ameliorating pandemic peak incidence. More importantly, we found that well-timed lockdowns can split the peak of hospitalizations into two smaller distant peaks while extending the overall pandemic duration. The timing of lockdowns reveals that a "tunneling" effect on incidence can be achieved to bypass the peak and prevent pandemic caseloads from exceeding hospital capacity.

Association of Visceral Adipose Tissue and Subclinical Atherosclerosis in US-Born Mexican Americans but not First Generation Immigrants.

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.

Understanding the Intention to Use Telehealth Services in Underserved Hispanic Border Communities: Cross-Sectional Study.

BACKGROUND: Despite the United States having one of the leading health care systems in the world, underserved minority communities face significant access challenges. These communities can benefit from telehealth innovations that promise to improve health care access and, consequently, health outcomes. However, little is known about the attitudes toward telehealth in these communities, an essential first step toward effective adoption and use. OBJECTIVE: The purpose of this study is to assess the factors that shape behavioral intention to use telehealth services in underserved Hispanic communities along the Texas-Mexico border and examine the role of electronic health (eHealth) literacy in telehealth use intention. METHODS: We used cross-sectional design to collect data at a community health event along the Texas-Mexico border. The area is characterized by high poverty rates, low educational attainment, and health care access challenges. Trained bilingual students conducted 322 in-person interviews over a 1-week period. The survey instrument assessed sociodemographic information and telehealth-related variables. Attitudes toward telehealth were measured by asking participants to indicate their level of agreement with 9 statements reflecting different aspects of telehealth use. For eHealth literacy, we used the eHealth Literacy Scale (eHEALS), an 8-item scale designed to measure consumer confidence in finding, evaluating, and acting upon eHealth information. To assess the intention to use telehealth, we asked participants about the likelihood that they would use telehealth services if offered by a health care provider. We analyzed data using univariate, multivariate, and mediation statistical models. RESULTS: Participants were primarily Hispanic (310/319, 97.2%) and female (261/322, 81.1%), with an average age of 43 years. Almost three-quarters (219/298) reported annual household incomes below $20,000. Health-wise, 42.2% (136/322) self-rated their health as fair or poor, and 79.7% (255/320) were uninsured. The overwhelming majority (289/319, 90.6%) had never heard of telehealth. Once we defined the term, participants exhibited positive attitudes toward telehealth, and 78.9% (254/322) reported being somewhat likely or very likely to use telehealth services if offered by a health care provider. Based on multivariate proportional odds regression analysis, a 1-point increase in telehealth attitudes reduced the odds of lower versus higher response in the intention to use telehealth services by 23% (OR 0.77, 95% CI 0.73-0.81). Mediation analysis revealed that telehealth attitudes fully mediated the association between eHealth literacy and intention to use telehealth services. For a 1-point increase in eHEALS, the odds of lower telehealth use decreased by a factor of 0.95 (5%; OR 0.95, 95% CI 0.93-0.98; P<.001) via the increase in the score of telehealth attitudes. CONCLUSIONS: Telehealth promises to address many of the access challenges facing ethnic and racial minorities, rural communities, and low-income populations. Findings underscore the importance of raising awareness of telehealth and promoting eHealth literacy as a key step in fostering positive attitudes toward telehealth and furthering interest in its use.

Sex and age differences in prevalence and risk factors for prediabetes in Mexican-Americans.

AIMS: Over 1/3 of Americans have prediabetes, while 9.4% have type 2 diabetes. The aim of our study was to estimate the prevalence of prediabetes in Mexican Americans, with known 28.2% prevalence of type 2 diabetes, by age and sex and to identify critical socio-demographic and clinical factors associated with prediabetes. METHODS: Data were collected between 2004 and 2017 from the Cameron County Hispanic Cohort in Texas. Weighted crude and sex- and age- stratified prevalences were calculated. Survey weighted logistic regression analyses were conducted to identify risk factors for prediabetes. RESULTS: The prevalence of prediabetes (32%) was slightly higher than the alarmingly high rate of type 2 diabetes (28.2%). Hispanic men had the highest overall (37.8%) and highest age stratified prevalence of prediabetes. Males had higher odds of prediabetes than females 1.56 (1.19, 2.06), controlling for the effect of family history of diabetes, age, BMI, and high-density lipoprotein. Family history of diabetes was a strong independent risk factor for prediabetes in all men, and in men and women in the age group 40-64 years. Elevated triglycerides (p = 0.003) was an independent risk factor for men and women in the age group 18-39 years. CONCLUSIONS: Despite the very high prevalence of type 2 diabetes, prediabetes prevalence among Mexican Americans is only marginally less than national prediabetes rates. This suggests that progression to type 2 diabetes is more rapid and occurs earlier than nationally. Earlier screening and interventions for prediabetes, especially for men, are necessary to slow the transition to diabetes.

Diabetes and Its Effect on Abdominal Aortic Aneurysm Growth Rate in Hispanic Patients.

BACKGROUND: The growth rate of abdominal aortic aneurysms (AAA) can vary depending on age, baseline diameter, blood pressure, race, and history of smoking. Paradoxically, previous studies show evidence of a protective effect of diabetes on the rate of AAA expansion despite its well-established role in the morbidity and mortality of cardiovascular disease. This study aims to investigate the impact diabetes plays on AAA growth within a Hispanic population. METHODS: Data were collected from patients who were predominantly Mexican-American at a single hospital site. Baseline and follow-up measures for AAA diameter were obtained from serial imaging studies. Demographics, medical history, the presence of type 2 diabetes, and medication use were extracted from hospital records. Linear mixed-effects growth models were used to calculate the overall AAA growth rate and to assess the difference in AAA growth rate between demographics, comorbidities, and medication use. RESULTS: The study comprised 201 patients (70.4% male) with a mean baseline age of 79.1 years, of whom 43.2% were diabetic. The average monthly AAA growth rate across all study participants was 0.15 mm (SE = 0.02 mm). Independently, the average AAA expansion rate for the diabetic and nondiabetic groups was 0.07 mm (SE = 0.04 mm) and 0.21 mm (SE = 0.03 mm) per month, respectively. This demonstrates a 65% lower linear AAA expansion rate per month in patients with diabetes. CONCLUSIONS: This study confirms a difference of AAA physiology between diabetics and nondiabetics in the Hispanic community. The observed significant difference in AAA growth rate may be a combination of factors associated with race/ethnicity, prevalence of diabetes mellitus, and low compliance with diabetic control exhibited in the Mexican-American population.

Statin Prescription for Patients With Atherosclerotic Cardiovascular Disease from National Survey Data.

Despite strong evidence for the use of statins for patients with atherosclerotic cardiovascular disease (ASCVD), statin prescription is still suboptimal. We aimed to determine the rates and factors that influence statin prescription using national survey data. This is a cross-sectional retrospective study on 8,468 patients with clinical ASCVD who were drawn from the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey from years 2011 to 2015. Survey-weighted analysis was conducted to estimate weighted prevalence and odds ratios for statin prescription. There was a significant increase in statin prescription from the years 2011 to 2015. Nevertheless, only 52% of ASCVD patients (55.4% in coronary heart disease and 37.7% in noncoronary heart disease) were prescribed a statin. Based on multivariable regression analysis, after adjusting for covariates, males had 1.28 (1.06, 1.55) higher odds of statin prescription, in coronary heart disease patients only. In the overall study population, Black n on-Hispanics had 31% lower odds of statin prescription compared with White non-Hispanics, and patients seen only by a healthcare provider other than a physician were 80% less likely to have a statin prescribed to them. In conclusion, the disparity in statin prescription in patients with ASCVD exists across minority groups, and our findings underscore existing variations in healthcare delivery.

Assessment of Gestational Diabetes Mellitus Outcomes for Hispanic Women Living in the Rio Grande Valley.

INTRODUCTION: Gestational diabetes mellitus (GDM) among women living along the U.S.-Mexico border are approximately twice that of the general population of pregnant U.S. women. This study compared outcomes for Hispanic pregnant women diagnosed and treated for GDM (i.e., two abnormal 3-hour oral glucose tolerance tests [OGTT]) with those who were screened but had only one abnormal 3-hour OGTT and therefore received no treatment. METHODS: Retrospective chart review of pregnant Hispanic women of Mexican origin (N = 95), with GDM (N = 41) or one abnormal 3-hour OGTT value (N = 54) who delivered between January 1, 2015, and December 31, 2017. RESULTS: No significant differences were found between the two groups with regard to sociodemographic variables, hyperbilirubinemia, or other adverse neonatal outcomes. Comparisons identified differences between women with and without adverse neonatal outcomes concerned type of delivery; there were more C-sections among women with GDM. CONCLUSION: Pregnant women with one abnormal 3-hour OGTT value are at risk of giving birth to neonates with biomarkers similar to those diagnosed and treated for GDM. The treatment of hyperglycemia in Hispanic women of Mexican origin with one abnormal 3-hour OGTT value may improve the health outcomes and quality of life of the mother and the neonate. More research is warranted to clarify the risk of adverse outcomes of diverse pregnant women who do not meet guidelines for diagnosis of GDM.

The effect of Hispanic ethnicity on surgical outcomes: An analysis of the NSQIP database.

BACKGROUND: Existing literature has shown racial/ethnic disparities between white and black surgical populations, however, surgical outcomes for Hispanic patients are limited in both scope and quantity. METHODS: Data from the American College of Surgeons National Surgical Quality Improvement Program from 2007 to 2015 was used to analyze surgical outcomes in approximately 3.5 million patients. RESULTS: Overall, Hispanics experienced lower odds of mortality compared to non-Hispanic White, non-Hispanic Black, and non-Hispanic American Indian or Alaska Native patients (all P < 0.0001). No difference was found in mortality odds between Hispanics and non-Hispanic Asian or Native Hawaiian patients. Hispanics experienced minimal disparities in complications as compared to non-Hispanic White and non-Hispanic Black but had a higher rate of select complications when compared to Non-Hispanic Asian, Native Hawaiian, or Pacific Islander. CONCLUSION: Hispanics, in general, had lower odds of 30-day postoperative mortality and major morbidity compared to most of the races/ethnicities included in the ACS NSQIP database.

Frequency of Nonalcoholic Fatty Liver Disease and Subclinical Atherosclerosis Among Young Mexican Americans.

Nonalcoholic fatty liver disease (NAFLD) is considered as the hepatic manifestation of the metabolic syndrome, whose criteria are risk factors for atherosclerotic cardiovascular disease. We aimed to evaluate the prevalence of NAFLD, its association with subclinical atherosclerosis, and factors that may account for this association in Mexican Americans. In a population-based cross-sectional sample drawn from the Cameron County Hispanic Cohort in Texas, carotid intima media thickness (cIMT), an indicator of subclinical atherosclerosis, was measured. Abnormal carotid ultrasound study was defined as mean cIMT >75th percentile for age and gender and/or plaque presence. NAFLD was defined as steatosis by ultrasound in the absence of other causes of liver disease. Multivariable weighted regression analyses were performed to evaluate associations between NAFLD and cIMT. Mean age was 50.4 ± 1.2 years with 58.3% women. Mean body mass index was 31.0 ± 0.4 kg/m2, and 54.0% had the metabolic syndrome. NAFLD was highly prevalent (48.80%); subjects with NAFLD had greater body mass index, central obesity, fasting glucose levels, and dyslipidemia and were more likely to have the metabolic syndrome. Nearly 1/3 of subjects with NAFLD also had evidence of subclinical atherosclerosis (31.2%). After adjusting for covariates, there was an independent association between NAFLD and increased cIMT only in younger subjects <45 years (p = 0.0328). Subjects with both abnormal liver and carotid ultrasound studies tended to be obese, diabetic and have the metabolic syndrome. In conclusion, NAFLD is highly prevalent in this Mexican American cohort, with an independent association between NAFLD and subclinical atherosclerosis among younger subjects; clustering of diabetes, obesity, and metabolic syndrome in this health disparity cohort increases the risk of both liver disease and early atherosclerosis in young adults.

The Precarious Health of Young Mexican American Men in South Texas, Cameron County Hispanic Cohort, 2004-2015.

INTRODUCTION: Hispanic men have higher rates of illness and death from various chronic conditions than do non-Hispanic men. We aimed to characterize the health of Mexican American men living on the US-Mexico border in South Texas and elucidate indications of chronic disease in young men. METHODS: We sampled all male participants from the Cameron County Hispanic Cohort, an ongoing population-based cohort of Mexican Americans in Brownsville, Texas. We calculated descriptive statistics and stratified the sample into 3 age groups to estimate the prevalence of sociodemographic, behavioral, and clinical factors by age group and evaluated differences between age groups. RESULTS: Obesity prevalence was approximately 50% across all age groups (P = .83). Diabetes prevalence was high overall (26.8%), and 16.9% (95% confidence interval [CI], 10.1%-23.8%) of men younger than 35 had diabetes. More than 70% of these young men had elevated liver enzymes, and mean values of aspartate aminotransferase were significantly higher in younger men (45.0 u/L; 95% CI, 39.5-50.6 u/L) than in both older age groups. Less than 20% of young men had any form of health insurance. Current smoking was higher in young men than in men in the other groups, and the rate was higher than the national prevalence of current smoking among Hispanic men. CONCLUSIONS: We suggest a need for obesity and diabetes prevention programs and smoking cessation programs for men in this region. Opportunities exist to expand current intervention programs and tailor them to better reach this vulnerable population of young Hispanic men. Elevated liver enzymes in men younger than 35 suggest a substantial burden of liver abnormalities, a finding that warrants further study.

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies.

The adverse impact of ignoring multicollinearity on findings and data interpretation in regression analysis is very well documented in the statistical literature. The failure to identify and report multicollinearity could result in misleading interpretations of the results. A review of epidemiological literature in PubMed from January 2004 to December 2013, illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies. We used simulated datasets and real life data from the Cameron County Hispanic Cohort to demonstrate the adverse effects of multicollinearity in the regression analysis and encourage researchers to consider the diagnostic for multicollinearity as one of the steps in regression analysis.

Cirrhosis and Advanced Fibrosis in Hispanics in Texas: The Dominant Contribution of Central Obesity.

Liver cirrhosis is a leading cause of death in Hispanics and Hispanics who live in South Texas have the highest incidence of liver cancer in the United States. We aimed at determining the prevalence and associated risk factors of cirrhosis in this population. Clinical and demographic variables were extracted for 2466 participants in the community-based Cameron County Hispanic Cohort in South Texas. Aspartate transaminase to Platelet Ratio Index (APRI) was used to predict cirrhosis in Cameron County Hispanic Cohort. The prevalence of cirrhosis using APRI≥2 was 0.94%, which is nearly 4-fold higher than the national prevalence. Using APRI≥1, the overall prevalence of cirrhosis/advanced fibrosis was 3.54%. In both analyses, highest prevalence was observed in males, specifically in the 25-34 age group. Risk factors independently associated with APRI≥2 and APRI≥1 included hepatitis C, diabetes and central obesity with a remarkable population attributable fraction of 52.5% and 65.3% from central obesity, respectively. Excess alcohol consumption was also independently associated with APRI≥2. The presence of patatin-like phospholipase domain-containing-3 gene variants was independently associated with APRI≥1 in participants >50 years old. Males with both central obesity and excess alcohol consumption presented with cirrhosis/advanced fibrosis at a young age. Alarmingly high prevalence of cirrhosis and advanced fibrosis was identified in Hispanics in South Texas, affecting young males in particular. Central obesity was identified as the major risk factor. Public health efforts are urgently needed to increase awareness and diagnosis of advanced liver fibrosis in Hispanics.

Metabolic Health Has Greater Impact on Diabetes than Simple Overweight/Obesity in Mexican Americans.

PURPOSE: To compare the risk for diabetes in each of 4 categories of metabolic health and BMI. METHODS: Participants were drawn from the Cameron County Hispanic Cohort, a randomly selected Mexican American cohort in Texas on the US-Mexico border. Subjects were divided into 4 phenotypes according to metabolic health and BMI: metabolically healthy normal weight, metabolically healthy overweight/obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight/obese. Metabolic health was defined as having less than 2 metabolic abnormalities. Overweight/obese status was assessed by BMI higher than 25 kg/m(2). Diabetes was defined by the 2010 ADA definition or by being on a diabetic medication. RESULTS: The odds ratio for diabetes risk was 2.25 in the metabolically healthy overweight/obese phenotype (95% CI 1.34, 3.79), 3.78 (1.57, 9.09) in the metabolically unhealthy normal weight phenotype, and 5.39 (3.16, 9.20) in metabolically unhealthy overweight/obese phenotype after adjusting for confounding factors compared with the metabolically healthy normal weight phenotype. CONCLUSIONS: Metabolic health had a greater effect on the increased risk for diabetes than overweight/obesity. Greater focus on metabolic health might be a more effective target for prevention and control of diabetes than emphasis on weight loss alone.

Liver and Other Gastrointestinal Cancers Are Frequent in Mexican Americans.

BACKGROUND: Disease patterns in Mexican American health-disparity populations differ from larger US populations. AIMS: This study is aimed to determine frequency of gastrointestinal cancers in Mexican Americans. METHODS: We analyzed self-reported data from the Cameron County Hispanic Cohort where we find high rates of risk factors for cancer: obesity (48.5 %) and diabetes (30.7 %). Participants provided cancer histories about themselves and first- and second-degree relatives. Logistic regression models assessed risk factors. Frequencies of cancer sites were ranked and validated using concurrent age local cancer registry data. RESULTS: Among 9,249 individuals (participants and their relatives), there were 1,184 individuals with reports of cancer. Among cohort participants under 70 years of age, the most significant risk factor for all-cause cancers was diabetes (OR 3.57, 95 % CI 1.32, 9.62). Participants with metabolic syndrome were significantly more likely to report cancer in relatives [1.73 (95 % CI 1.26, 2.37]. Among cancers in fathers, liver cancer was ranked third, stomach fourth, colorectal sixth, and pancreas tenth. In mothers, stomach was third, liver fourth, colorectal seventh, and pancreas eleventh. The unusual prominence of these cancers in Mexican Americans, including liver cancer, was supported by age-adjusted incidence in local registry data. CONCLUSIONS: Gastrointestinal system cancers, particularly, liver cancer, in a Mexican American health disparity cohort and their relatives rank higher than in other ethnicities and are associated with high rates of diabetes and metabolic syndrome. Effective prevention of diabetes and low-tech, high-quality screening strategies for gastrointestinal cancers are needed in health disparity communities.

Depression, obesity, and metabolic syndrome: prevalence and risks of comorbidity in a population-based representative sample of Mexican Americans.

INTRODUCTION: We examined the prevalence of depression, obesity, and metabolic syndrome and associations between them in a population-based representative cohort of Mexican Americans living on the United States-Mexico border. METHOD: The sample in this cross-sectional analysis consisted of 1,768 Mexican American adults (≥ 18 years of age) assessed between the years 2004 and 2010, with whom we tested our central hypothesis of a significant relationship between obesity and depression. Depression was measured using the Center for Epidemiologic Studies-Depression scale (CES-D) with a cutoff score of ≥ 16 for depression and a cutoff score of ≥ 27 for severe depression. We categorized body mass index (BMI) values as obese (≥ 30kg/m(2)) and later subdivided the obese subjects into obese (30-39 kg/m(2)[inclusive]) and morbidly obese (≥ 40 kg/m(2)). Metabolic syndrome was defined using the American Heart Association definition requiring at least 3 of the following: increased waist circumference, elevated triglycerides, reduced high-density lipoprotein (HDL) cholesterol, elevated blood pressure, and elevated fasting glucose. Weighted data were analyzed to establish prevalence of depression, obesity, and metabolic syndrome. Univariate and multivariable weighted regression models were used to test potential associations between these disorders. RESULTS: Using weighted prevalence, we observed high rates of depression (30%), obesity (52%), and metabolic syndrome (45%). Univariate models revealed female gender (P = .0004), low education (P = .003), low HDL level (P = .009), and increased waist circumference (P = .03) were associated with depression. Female gender (P = .01), low education (P = .003), and morbid obesity (P = .002) were risk factors for severe depression and remained significant in multivariable models. CONCLUSIONS: In this large cohort of Mexican Americans, obesity, female gender, and low education were identified risk factors for depression. These indicators may serve as targets for early detection, prevention, and intervention in this population.