scholarly journals Using Electronic Medical Record Data to Better Understand Obesity in Hispanic Neighborhoods in El Paso, Texas

2020 ◽  
Vol 17 (12) ◽  
pp. 4591
Author(s):  
Jennifer Salinas ◽  
Jon Sheen ◽  
Malcolm Carlyle ◽  
Navkiran Shokar ◽  
Gerardo Vazquez ◽  
...  
Keyword(s):  
Hot Spot ◽  
El Paso ◽  
Delayed Diagnosis ◽  
Positive Association ◽  
The United States ◽  
Median Income ◽  
Obesity Prevalence ◽  
Ethnic Concentration ◽  
Prevalence Of Obesity ◽  
El Paso County

The prevalence of obesity has been persistent amongst Hispanics over the last 20 years. Socioeconomic inequities have led to delayed diagnosis and treatment of chronic medical conditions related to obesity. Factors contributing include lack of insurance and insufficient health education. It is well-documented that obesity amongst Hispanics is higher in comparison to non-Hispanics, but it is not well-understood how the socioeconomic context along with Hispanic ethnic concentration impact the prevalence of obesity within a community. Specifically studying obesity within Hispanic dominant regions of the United States, along the Texas–Mexico border will aid in understanding this relationship. El Paso, Texas is predominantly Mexican-origin Hispanic, making up 83% of the county’s total population. Through the use of electronic medical records, BMI averages along with obesity prevalence were analyzed for 161 census tracts in the El Paso County. Geographic weighted regression and Hot Spot technology were used to analyze the data. This study did identify a positive association between Hispanic ethnic concentration and obesity prevalence within the El Paso County. Median income did have a direct effect on obesity prevalence while evidence demonstrates that higher education is protective for health.

Abstract 17019: Obesity and Cardiovascular Health in Young American Adults

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Sarabjeet S Suri ◽  
Vibhu Parcha ◽  
Rajat Kalra ◽  
Garima Arora ◽  
Pankaj Arora
Keyword(s):  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Health ◽  
Piecewise Linear ◽  
The United States ◽  
Obesity Prevalence ◽  
Logistic Regression Models ◽  
Prevalence Of Obesity ◽  
Adjusted Logistic Regression ◽  
The Impact

Background: The growing epidemic of obesity in the United States (US) is associated with cardiovascular (CV) morbidity and mortality. We evaluated the impact of the increasing obesity prevalence on the CV health of young American adults. Methods: The age-adjusted weighted prevalence of hypertension, diabetes, and hypercholesterolemia was estimated from the 2008-2018 National Health and Nutrition Examination Survey (NHANES) in American adults aged 18-44 years, stratified by the presence of obesity. The trends were evaluated using a piecewise linear regression approach. The odds for CV risk factors were estimated using multivariable-adjusted logistic regression models. Results: Among 14,919 young adults, the prevalence of obesity was 33.9% (95% CI: 32.6-35.3%). Obese young adults were more likely to be non-Hispanic Blacks and in lower socioeconomic and educational attainment strata (p<0.05 for all). Obese young adults had a greater risk of having hypertension (adjusted odds ratio [aOR]: 3.0 [95% CI: 2.7-3.4]), diabetes (aOR: 4.3 [95% CI: 3.3-5.6]), and hyperlipidemia (aOR: 1.47 [95% CI: 1.3-1.7]). Among obese, hypertension increased from 36.5% (33.9-39.1%) in 2007-2010 to 39.4% (35.6-43.1%) in 2015-2018 (p= 0.07) and diabetes increased from 4.7% (3.6-5.8%) in 2007-2010 to 7.1% (5.3-9.0%) in 2015-2018 (p=0.11). A modest increase in diabetes was seen in non-obese individuals ( Table ). Hypercholesterolemia prevalence remained unchanged from 12.6% (95% CI: 10.6-14.7%) 2007-2010 to 10.9% (95% CI: 9.0-12.8%) in 2015-2018 (p=0.27) among obese young adults. Non-obese young adults showed a decline in hypercholesterolemia from 9.5% (95% CI: 8.0-11.0%) in 2007- 2010 to 7.1% (95% CI: 5.8-8.4%) in 2015-2018 (p=0.002). Conclusions: Nearly one-in-every three young American adults have obesity, which is accompanied by a two-fold higher prevalence of CV risk factors. The CV morbidity in young adults is expected to increase with an increasing prevalence of obesity..

Abstract MP10: Increasing Obesity Prevalence in the United States End-stage Renal Disease Population

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brittany Shelton ◽  
Deanna McWilliams ◽  
Rhiannon D Reed ◽  
Margaux Mustian ◽  
Paul MacLennan ◽  
...  
Keyword(s):  
United States ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
The United States ◽  
Obesity Prevalence ◽  
The Us ◽  
Prevalence Of Obesity ◽  
Stage Renal Disease ◽  
End Stage ◽  
Esrd Patients

Background: Obesity has become a national epidemic, and is associated with increased risk for comorbid diseases including end-stage renal disease (ESRD). Among ESRD patients, obesity may improve dialysis-survival but decreases likelihood of transplantation, and as such, obesity prevalence may directly impact growth of the incident dialysis population. Methods: Incident adult ESRD patients with complete body mass index (BMI, kg/m 2 ) data were identified from the United States Renal Data System from 01/01/1995-12/31/2010 (n=1,822,598). Data from the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention (n=4,303,471) represented the US population when weighted. Trends in BMI and obesity classes I (BMI of 30-34.9), II (BMI of 35-39.9), and III (BMI ≥40) were examined by year of dialysis initiation. Trends in median BMI slope were compared between the ESRD and US populations using linear regression. Results: Median BMI of ESRD patients in 1995 was 24.2 as compared to 28.0 in 2010, a 15.7% increase, while the US population’s median BMI increased from 24.2 in 1995 to 25.6 in 2010, a 5.8% increase. Comparable trends were noted with respect to prevalence of obesity classes I, II, and III (Table). BMI increase among the ESRD population was significantly more rapid than among the US population (β: 0.15, 95% CI: 0.14-0.17, p<0.001) (Figure). Conclusion: The median BMI of ESRD patients and prevalence of obesity among ESRD patients is increasing more rapidly than the US population. Given the increased dialysis-survival and decreased likelihood of transplantation associated with obesity, healthcare costs will likely increase, and thus, future research should be directed at examining medical expenditures.

scholarly journals Coffee Consumption and the Risk of Obesity in Korean Women

2017 ◽  
Author(s):  
Jeonghee Lee ◽  
Hye Young Kim ◽  
Jeongseon Kim
Keyword(s):  
Abdominal Obesity ◽  
Coffee Consumption ◽  
Positive Association ◽  
Cancer Center ◽  
Korean Women ◽  
Obesity Prevalence ◽  
Food Frequency ◽  
Multivariate Adjustment ◽  
Prevalence Of Obesity ◽  
The Relationship

The objective of this study was to investigate the relationship between coffee consumption and obesity in Korean women. We included 5,995 women who participated in a health screening examination at the Korean National Cancer Center between 2007 and 2016. Daily coffee consumption was evaluated using the food frequency questionnaire. Obesity was assessed by body mass index (BMI), and abdominal obesity was assessed by waist circumference (WC). A multiple logistic regression model was used to calculate the odds ratio (OR) of obesity according to coffee consumption. After multivariate adjustment, high coffee consumption was positively associated with obesity measured by BMI (&ge; 3 cups vs. no drinks, OR = 2.52; 95% confidence interval (CI) = 1.91-3.34; P for the trend &lt; 0.001) and abdominal obesity measured by WC (&ge; 3 cups vs. no drinks, OR = 2.11; 95% CI = 1.59-2.79; P for the trend &lt; 0.001). The positive association between daily coffee consumption and obesity prevalence was not altered by menopause. The amount of coffee consumed per day by Korean women was positively correlated with the prevalence of obesity, but the mechanism underlying this phenomenon remains to be elucidated.

scholarly journals The Association Between Food-Away-From-Home Frequency and a Higher BMI Varies by Food Security Status in US Adults

2020 ◽  
Author(s):  
Mayra S Crespo-Bellido ◽  
Stephanie K Grutzmacher ◽  
Yumie Takata ◽  
Ellen Smit
Keyword(s):  
Food Security ◽  
Health Outcomes ◽  
Multinomial Logistic Regression ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Obesity Prevalence ◽  
Cross Sectional ◽  
Food Away From Home ◽  
Food Security Status ◽  
Prevalence Of Obesity

ABSTRACT Background For decades, Americans have increasingly relied on food away from home (FAFH) despite its association with negative health outcomes. Little is known about FAFH frequency and expenditures of adults with lower food security (FS) and their association with health outcomes, such as BMI. Objectives We evaluated patterns of adults’ FAFH purchases by FS status and other demographic characteristics, and examined the association between FAFH frequency and BMI in adults of varying levels of FS. Methods This cross-sectional study used data from the Consumer Behavior Survey, Food Security Survey, and anthropometric measurements to assess FAFH frequency and expenditures, FS, and calculated BMI of adults (≥18 y) who participated in the NHANES 2007–2014 (n = 20,733). We used multinomial logistic regression to examine the association between FAFH frequency quartiles (quartile 1: 0 n/wk; quartile 2: 1–2 n/wk; quartile 3: 3–4 n/wk; quartile 4: ≥5 n/wk) and BMI by FS category. Results Although FAFH frequency was similar across FS levels, adults with high FS spent more dollars (${\$}$213.60) and a greater proportion (29.4%) of their food budget on FAFH compared with adults with marginal, low, and very low FS (${\$}$133.00, ${\$}$116.20, ${\$}$103.30 and 21.4%, 19.7%, 20.0%, respectively). Obesity prevalence was highest in adults with low FS (42.9%) and very low FS (41.5%), and lowest in adults with high FS (33.7%). FAFH frequency and BMI were positively associated in adults with high (P &lt; 0.001), marginal (P = 0.025), and low (P = 0.024) FS, but not in adults with very low FS (P = 0.589). Conclusions FAFH is frequent in adults regardless of FS status. The positive association between FAFH and BMI is the strongest in adults with high FS, the group with the lowest prevalence of obesity. Conversely, BMI was not associated with FAFH in adults with very low FS, despite their higher prevalence of obesity.

scholarly journals No local birth sex ratio changes following the August 2019 shootings in Montgomery county, Ohio and in El Paso county, Texas

2021 ◽  
Author(s):  
Victor Grech ◽  
Hagen Scherb
Keyword(s):  
United States ◽  
Logistic Regression ◽  
Sex Ratio ◽  
El Paso ◽  
State Level ◽  
The United States ◽  
Stressful Events ◽  
Terrorist Attacks ◽  
Montgomery County ◽  
El Paso County

Objective In humans, males are born slightly in excess of females. Many factors have been shown to affect this ratio, including stressful events such as terrorist attacks. Two shootings in 2019 occurred in early August 2019 in the United States: in the Oregon District in Dayton, Montgomery county, Ohio and in El Paso county, Texas. This study was carried out in order to identify whether there were any effects on sex ratio at birth at state or county level 3-5 months later. Subject and Methods Births by sex, month of birth (2015-2019) and county were obtained for Ohio and Texas from the website of Centers for Disease Control and Prevention. Ordinary linear logistic regression was used to assess the time trend in the probability of boys and to investigate changes in the trend functions. Poisson regression (SAS GENMOD) and linear logistic regression using SAS procedure LOGISTIC was applied. Results This study analysed 2,623,714 live births, 1,939,938 in Texas (sex odds (SO) 1.044) and 683,776 in Ohio (SO 1.045). The only significant effect noted was seasonality (month) at the state level. Conclusion It has been postulated that male foetal loss in pregnant women during stressful periods may occur in accordance with the Trivers-Willard Hypothesis. Several studies have found significant effects after terrorist attacks in the United States (as well as in other countries) but this study failed to do so. This may be due to several reasons including underpowered datasets and the possibility that populations may be becoming relatively immured to these events.

scholarly journals Who Pays for Obesity?

2011 ◽  
Vol 25 (1) ◽  
pp. 139-158 ◽  
Author(s):  
Jay Bhattacharya ◽  
Neeraj Sood
Keyword(s):  
Public Policy ◽  
Health Insurance ◽  
The United States ◽  
Self Control ◽  
Obesity Prevalence ◽  
Obese People ◽  
Obesity Epidemic ◽  
Positive Externalities ◽  
Starting Point ◽  
Prevalence Of Obesity

Adult obesity is a growing problem. From 1962 to 2006, obesity prevalence nearly tripled to 35.1 percent of adults. The rising prevalence of obesity is not limited to a particular socioeconomic group and is not unique to the United States. Should this widespread obesity epidemic be a cause for alarm? From a personal health perspective, the answer is an emphatic “yes.” But when it comes to justifications of public policy for reducing obesity, the analysis becomes more complex. A common starting point is the assertion that those who are obese impose higher health costs on the rest of the population—a statement which is then taken to justify public policy interventions. But the question of who pays for obesity is an empirical one, and it involves analysis of how obese people fare in labor markets and health insurance markets. We will argue that the existing literature on these topics suggests that obese people on average do bear the costs and benefits of their eating and exercise habits. We begin by estimating the lifetime costs of obesity. We then discuss the extent to which private health insurance pools together obese and thin, whether health insurance causes obesity, and whether being fat might actually cause positive externalities for those who are not obese. If public policy to reduce obesity is not justified on the grounds of external costs imposed on others, then the remaining potential justification would need to be on the basis of helping people to address problems of ignorance or self-control that lead to obesity. In the conclusion, we offer a few thoughts about some complexities of such a justification.

scholarly journals Surveillance of Trypanosoma cruzi infection in Triatomine vectors, feral dogs and cats, and wild animals in and around El Paso county, Texas, and New Mexico

2021 ◽  
Vol 15 (2) ◽  
pp. e0009147
Author(s):  
Felipe Rodriguez ◽  
Brenda S. Luna ◽  
Olivia Calderon ◽  
Claudia Manriquez-Roman ◽  
Karsten Amezcua-Winter ◽  
...  
Keyword(s):  
United States ◽  
New Mexico ◽  
Trypanosoma Cruzi ◽  
Chagas Disease ◽  
El Paso ◽  
The United States ◽  
Wild Animals ◽  
Feral Cats ◽  
Feral Dogs ◽  
El Paso County

The causative agent of Chagas disease, Trypanosoma cruzi, is transmitted by triatomine vectors. The insect is endemic in the Americas, including the United States, where epidemiological studies are limited, particularly in the Southwestern region. Here, we have determined the prevalence of T. cruzi in triatomines, and feral cats and dogs, and wild animals, the infecting parasite genotypes and the mammalian host bloodmeal sources of the triatomines at four different geographical sites in the U.S.-Mexico border, including El Paso County, Texas, and nearby cities in New Mexico. Using qualitative polymerase chain reaction to detect T. cruzi infections, we found 66.4% (n = 225) of triatomines, 45.3% (n = 95) of feral dogs, 39.2% (n = 24) of feral cats, and 71.4% (n = 7) of wild animals positive for T. cruzi. Over 95% of T. cruzi genotypes or discrete typing units (DTUs) identified were TcI and some TcIV. Furthermore, Triatoma rubida was the triatomine species most frequently (98.2%) collected in all samples analyzed. These findings suggest a high prevalence of T. cruzi infections among triatomines, and feral and wild animals in the studied sites. Therefore, our results underscore the urgent need for implementation of a systematic epidemiological surveillance program for T. cruzi infections in insect vectors, and feral and wild animals, and Chagas disease in the human population in the southwestern region of the United States.

Trends in obesity among patients registered to SWOG cancer clinical treatment trials.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 126-126
Author(s):  
Riha Vaidya ◽  
Cathee Till ◽  
Heather Greenlee ◽  
Dawn L. Hershman ◽  
Joseph M. Unger
Keyword(s):  
Clinical Trials ◽  
Linear Trend ◽  
The United States ◽  
Clinical Treatment ◽  
Research Network ◽  
Good Representation ◽  
Obesity Prevalence ◽  
Treatment Trials ◽  
Treatment Type ◽  
Prevalence Of Obesity

126 Background: Rising obesity rates have been documented in the United States population since the 1980s. Several studies have shown links between obesity and the incidence of – and the outcomes of – specific cancer types. Few studies have examined the prevalence of obesity among cancer patients at the time of diagnosis or among those who participate in clinical trials. We examined the prevalence of obesity over a 35-year period among patients enrolled in clinical treatment trials conducted by the SWOG Cancer Research Network. Methods: We analyzed body mass index (BMI) at registration among patients enrolled in phase II or III clinical trials conducted by SWOG. Adult patients (age≥18) participating in trials in obesity-related cancers between 1985 and 2020 were included. Obesity was classified as BMI ≥ 30 kg/m2. Multivariable logistic regression was used to examine time trends, adjusting for age, sex, race, and treatment type. Time was defined as year of enrollment and examined in separate models as continuous years and as 5-year intervals. We examined trends among patient subgroups by sex and by treatment type (chemotherapy, immunotherapy, and targeted therapy). Results: 16,374 patients enrolled in SWOG clinical trials conducted between 1985 and 2020 were analyzed. Patients were most commonly enrolled in trials for breast cancer (n = 6,327, 38.6%), colon cancer (n = 2,408, 14.7%), multiple myeloma (n = 2,112, 12.9%), and rectal cancer (n = 1,785, 10.9%). Overall, 32% of patients were obese (n = 5,252). Unadjusted obesity rates among trial participants increased from 18% in 1985-1990 to 42% in 2016-2020, compared to an increase from 23% to 42% among US adults over a similar period. Obesity prevalence rates increased over time for all sex, age, and race subgroups. Overall, there was an increasing linear trend in obesity (OR = 1.36 for each 5-year increase, 95% CI: 1.33-1.39, p < .0001). These trends persisted with adjustments for age, sex, race, and treatment type (OR = 1.35 per 5-year increase, 95% CI: 1.31-1.39, p < .0001). Positive linear trends in obesity prevalence were observed for all subgroups by sex and treatment type. There was no evidence of difference in trends between males and females or between the three treatment types. Conclusions: We observed an increasing trend in obesity among patients participating in clinical trials for obesity-related cancers, mirroring US adult obesity rates. Our findings indicate good representation of obese patients in clinical treatment trials, which has favorable implications for the applicability of trial findings to this group of patients.

Sign in / Sign up

Export Citation Format

Share Document