In the United States, the rate of obesity is lower among college graduates compared to those who did not graduate from college. For example, in 2023, around 27 percent of college graduates were obese, while 36 percent of those with some college or technical school were obese. At that time, rates of obesity were highest among those with less than a high school education, at around 37 percent. Income and obesity As with education level, there are also differences in rates of obesity in the United States based on income. Adults in the U.S. with an annual income of 75,000 U.S. dollars or more have the lowest rates of obesity, with around 29 percent of this population obese in 2023. On the other hand, those earning less than 15,000 U.S. dollars per year had the highest rates of obesity at that time, at 37 percent. One reason for this disparity may be a lack of access to fresh food among those earning less, as cheap food in the United States tends to be unhealthier. What is the most obese state? As of 2023, the states with the highest rates of obesity were West Virginia, Mississippi, and Arkansas. At that time, around 41 percent of adults in West Virginia were obese. The states with the lowest rates of obesity were Colorado, Hawaii, and Massachusetts. Still, around a quarter of adults in Colorado were obese in 2023. West Virginia and Mississippi are also the states with the highest rates of obesity among high school students. Children with obesity are more likely to be obese as adults and are at increased risk of health conditions such as asthma, type 2 diabetes, and sleep apnea.

This statistic shows the rate of obesity amongst individuals aged 25 years and over in the United States in 2008, as differentiated by their age group and also level of education. In 2008, 43 percent of high school graduates aged 55 to 64 were obese as compared to 30 percent of bachelor's degree holders.

This survey depicts the levels of obesity in the United States, with a breakdown by level of education attained, in the period between January 2010 and May 2012. In that period, some **** percent of those with a high school education or less fall into the category of obese class I.

From 2021 to 2023, around 45 percent of U.S. adults with a high school diploma or less and 45 percent of those with some college were obese. In comparison, around 32 percent of adults with a bachelor's degree or more were obese. This statistic shows the prevalence of obesity among adults aged 20 and older in the United States from 2021 to 2023, by gender and education level.

This statistic shows the rate of obesity amongst children and adolescents in the United States in 2008, as differentiated by the highest household education level. In 2008, 29 percent of children aged 6 to 11 who lived in a household where nobody had completed high school, were obese.

Context: Currently it is not well understood to what extent there are obesity inequalities by socioeconomic status (SES) in urban Latin America. Objective: This study reviewed the literature assessing associations between overweight, obesity and SES in adults. Data sources: Pubmed and Scielo databases. Data extraction: Data extraction was conducted using the PRISMA guidelines. We extracted data on the direction of the association between SES (e.g. education and income), overweight (BMI ≥25 and <30 kg/m2) and obesity (BMI≥30 kg/m2) in Latin American urban regions. Relative differences between low and high SES groups were assessed and defined a priori as significant at p<0.05. Data analysis: Thirty-one studies met our inclusion criteria and most were conducted in Brazil (22) and Mexico. Only one study presented just non-significant associations. Fifty percent of associations between education or income and overweight were negative/inverse. Regarding obesity, 80% were negative and 20% positive. Most negative associations were found in women. Associations between BMI and SES usually followed the same pattern, except in men where they varied depending on the indicator used. Conclusion: Low SES individuals in urban Latin America, especially women, have higher BMI levels highlighting the need for interventions.

ObjectiveThe purpose of this study was to investigate the correlation between plasma homocysteine (Hcy) levels and cardiovascular disease (CVD) in United States adults based on the National Health and Examination Survey (NHANES) database of the United States.MethodsData from two survey periods (2003–2006) in the NHANES database were used as the research data set. Plasma Hcy levels are considered an independent variable, while CVD is a dependent variable. Weighted logistic regression, linear trend analysis, subgroup analysis and limiting cubic spline plots were used for analysis. A total of 4,418 samples were included.ResultsIn the weighted logistic regression model, a significant positive correlation between Hcy level and CVD risk was observed (P for trend = 0.007).The subgroup analysis revealed that various characteristics such as age, race, education level, obesity, alcohol use, diabetes, and hypertension did not affect this positive correlation (P for interaction ≥0.05). The nonlinear association between Hcy level and CVD risk was explored by limiting cubic spline plots, revealing the overall significant trend (P for overall

Real-world interventions are fundamental to bridge the research-practice gap in healthy lifestyle promotion. This study aimed to assess the impact of a 7-month, intensive, city-wide intervention (“Life of Health”) on tackling youth inactivity and sedentary behavior in an entire Latin-American city (Jaguariuna, Brazil). For youth, a program focused on tackling inactivity/sedentary behavior was delivered at every school (n = 18). Plausibility assessments (pre-to-post design) were performed with 3,592 youth (out of 8,300 individuals at school age in the city) to test the effectiveness of the intervention. Primary outcomes were physical activity and sedentary behavior. Secondary outcome was BMI z-score. Physical activity did not change (0; 95%CI:-2.7–2.8 min/day; p = 0.976), although physically inactive sub-group increased physical activity levels (11.2; 95%CI:8.8–13.6 min/day; p < 0.001). Weekday television and videogame time decreased, whereas computer time increased. Participants with overweight and obesity decreased BMI z-score (-0.08; 95%CI:-0.11−0.05; p < 0.001; −0.15; 95%CI:-0.19−0.11; p < 0.001). This intervention was not able to change the proportion of physical inactivity and sedentary behavior in youth at a city level. Nonetheless, physically inactive individuals increased PA levels and participants with overweight and obesity experienced a reduction in BMI z-score, evidencing the relevance of the intervention. Education-based lifestyle programs should be supplemented with environmental changes to better tackle inactivity/sedentary behavior in the real-world.

Prevalence of obesity prevention laws among U.S. States, 2000 and 2007†.

In 2019, almost 37 percent of women in the U.S. who had a high school level education or less experienced prepregnancy obesity, compared to 17 percent of women with a Master's degree or higher. This statistic illustrates the percentage of women experiencing prepregnancy obesity in the United States from 2016 to 2019, by maternal education level.

DEP–Depression; DIS–Distress; STR–Stress; ANX–Anxiety; INT–Internalizing; NA–Negative affect; PTS/PTSD–Post-traumatic stress and post-traumatic stress disorder; SOM–Somatization; SUI–Suicidal ideation, planning, and attempts; MHS–Other mental health symptoms (e.g., paranoia, psychoticism); GMH–General mental health; Overall NM–Overall negative mental health; SE–Self-esteem; CON–Control/Mastery; LS–Life satisfaction; PA–Positive affect; WB–Wellbeing; Overall PM–Overall positive mental health; BP & HTN–Blood pressure and hypertension; CHO–cholesterol; DIA–Diabetes; HRT—Heart conditions/illnesses; OW—Overweight (BMI, WC, WHR, overweight, obesity); MISC—Miscellaneous physical health; Overall PH–Overall physical health; GH—General health (unspecified/ physical & mental)Effect sizes for associations between racism and health outcomes.

BackgroundMetabolic dysfunction-associated fatty liver disease (MAFLD) is a serious chronic disease in the US. Dietary patterns provide good guidance for the prevention of chronic diseases. The Healthy Eating Index (HEI-2015) is a dietary pattern based on the dietary characteristics of the US.ObjectiveSince the relation between HEI-2015 and MAFLD is unclear, this study examined their associations using the US National Health and Nutrition Examination Surveys (NHAENS) during 2017–2018.MethodsThis study included data from 4,062 participants aged ≥20 years, without viral hepatitis or pregnancy. MAFLD is defined as hepatic steatosis with one or more of the following: (1) overweight or obesity (body mass index ≥25 kg/m2); (2) type 2 diabetes; or (3) two or more other metabolic risk abnormalities. HEI-2015 scores were calculated from food intake information collected by the 24-h meal review method. The relationship of HEI-2015 with MAFLD was calculated using survey-weighted logistic regression analysis after adjusting for sex, age, race, education level, smoking status, alcohol use, levels of C-reactive protein, Aspartate Aminotransferase, Alanine Aminotransferase, a body shape index, minutes of sedentary activity, levels of cholesterol and glucose, energy take, drugs use, hypertension, and diabetes.ResultsWhen compared to the study population with no MAFLD, the patients with MAFLD showed a lower weighted mean HEI (48.0 ± 0.6). HEI-2015 was inversely associated with MAFLD in the fully adjusted model [Q4 vs. Q1, OR = 0.567 (0.407–0.790), P = −0.002]. Among the 13 HEI-2015 components, total vegetables, greens and beans, total fruits, whole fruits, and whole grains were negatively associated with MAFLD, while added sugars were positively associated with MAFLD. This inverse association was consistent in subgroups of the participants stratified by sex, age, education level, race, body shape index, minutes of sedentary activity, hypertension, and diabetes.ConclusionA higher HEI-2015 is associated with a lowered risk of MAFLD which is more obvious among participations who were women, young, Mexican Americans, with higher education, and with no hypertension or diabetes.