Differences In Prevalence Of Obesity Research Articles

When Pandemics Collide: The Impact of COVID-19 on Childhood Obesity

• Children with obesity face increased biopsychosocial risks during COVID-19. • Stress exacerbates inflammation and immune response in obesity and COVID-19. • The COVID-19 pandemic has significantly interrupted children's daily routines. • The health effects of the obesogenic environment are exacerbated by COVID-19. • Access to timely, comprehensive healthcare is critical during COVID-19.

The impact of state policies for school-based BMI/fitness assessments on children's BMI outcomes in rural versus urban schools: Evidence from a natural experiment

Childhood obesity remains a public health crisis because of its alarming prevalence and potential for costly long-term health consequences, especially among rural children. Schools are considered natural loci for policies to combat obesity because children spend most of their active hours and consume a substantial share of their calories, at school. Recent state policy efforts have involved measuring children's BMI and/or fitness to notify parents or inform surveillance efforts, but the empirical evidence to date is far from definitive.This study leverages plausibly exogenous assignment of military families as a natural experiment to assess the association of such polices with children's BMI and obesogenic behaviors. The sample is stratified by urbanicity because of the likely differences in obesity prevalence and in environments necessary to support healthy lifestyles. Data were collected in 2013–2014 and analyzed in 2018–9.The policies were associated with lower odds of overweight (OR: 0.422; CI: 0.251–0.708) and at-risk of overweight (OR: 0.360; CI: 0.161–0.801) among children in rural, but not urban, schools. The policies were also associated with greater activity levels and less frequent intake of unhealthy foods, particularly among children attending rural schools. Results were robust to stratification based on urbanicity of the installation versus school, omission of family covariates, and other sensitivity analyses. Falsification checks on children's height, parental BMI outcomes, home food environments and neighborhood environments indicate findings are not driven by selection.BMI assessment policies were associated with children's BMI outcomes and health behaviors in rural, but not urban schools.

Is there any gender difference in epidemiology, clinical presentation and co-morbidities of non-functioning pituitary adenomas? A prospective survey of a National Referral Center and review of the literature.

Gender differences in patients diagnosed with non-functioning Pituitary Adenomas (NFPA) in a National Referral Center for Pituitary Tumors at the Federico II University of Naples, Italy. Patients newly diagnosed with non-functioning sellar masses found on pituitary Magnetic Resonance Imaging from January 1st 2016 to December 31th 2018 underwent anthropometric measurements, basal evaluation of pituitary function, and metabolic assessment. Fatty live index (FLI) and visceral adiposity index (VAI) were calculated. Seventy-three patients (35 males, 51.1 ± 17.0years; 38 females, 41.8 ± 18.1years) presented with NFPA. Lesions > 1cm (85.7% vs. 47.3%; χ2 = 10.26, p = 0.001) and hypopituitarism (77.1% vs. 7.9%; χ2 = 33.29, p = 0.001) were more frequent in males than females. The highest sizes of pituitary adenomas were significantly associated with male gender (OR = 1.05, p = 0.049; R2 = 0.060; IC 1.00-1.10). Headache (62.8% vs. 31.6%; χ2 = 5.96, p = 0.015) and visual field deficits (57.1% vs. 26.3%; χ2 = 5.93, p = 0.015) were significantly more frequent in males than in females. There was no sex difference in obesity prevalence, but the metabolic syndrome was more common among males than females (60.6% vs. 26.3%; χ2 = 7.14, p = 0.001). FLI was also higher in males (69.6 ± 27.3 vs. 49.2 ± 31.3; p < 0.001), while there were no differences in VAI. Apart from the possible delay in the diagnosis induced by the gender differences in symptom presentation, the higher prevalence of macroadenomas amongst NFPA in males compared with females let to hypothesize a key role of the sex hormone profile as predictive factors of their biological behavior and metabolic profile. Further studies are, however, mandatory to better support the influence of gender differences on onset, progression, and metabolic consequences of NFPA.

Prenatal and Pediatric Primary Care-Based Child Obesity Prevention Program: A Randomized Trial.

To determine impact of a primary care-based child obesity prevention intervention beginning during pregnancy on early childhood weight outcomes in low-income Hispanic families. A randomized controlled trial comparing mother-infant pairs receiving either standard care or the Starting Early Program providing prenatal and postpartum nutrition counseling and nutrition parenting support groups targeting key obesity-related feeding practices in low-income groups. Primary outcomes were reduction in weight-for-age z-scores (WFAzs) from clinical anthropometric measures, obesity prevalence (weight for age ≥95th percentile), and excess weight gain (WFAz trajectory) from birth to age 3 years. Secondary outcomes included dose effects. Pregnant women (n = 566) were enrolled in the third trimester; 533 randomized to intervention (n = 266) or control (n = 267). Also, 358 children had their weight measured at age 2 years; 285 children had weight measured at age 3 years. Intervention infants had lower mean WFAz at 18 months (0.49 vs 0.73, P = .04) and 2 years (0.56 vs 0.81, P = .03) but not at 3 years (0.63 vs 0.59, P = .76). No group differences in obesity prevalence were found. When generalized estimating equations were used, significant average treatment effects were detected between 10-26 months (B = -0.19, P = .047), although not through age 3 years. In within group dose analyses at 3 years, obesity rates (26.4%, 22.5%, 8.0%, P = .02) decreased as attendance increased with low, medium, and high attendance. Mean WFAz and growth trajectories were lower for the intervention group through age 2 years, but there were no group differences at age 3. Further study is needed to enhance sustainability of effects beyond age 2.

Differences obesity at subnational levels in Chile and the potential for targeted interventions

Abstract Background Chile has a high prevalence of obesity (PO), and this has increased even more in recent years. Public health interventions have not impacted, probably because a geographic distribution of the cases at a lower level is unknown. We described the geographic distribution and change of obesity at a sub-regional level in Chile, and to identify targets areas/groups for interventions. Methods We did a secondary analysis of the latest two National Health Surveys (2009, 2016), using Regions and Health Service (HS) levels, which are the second and third administrative division of Chile, respectively. HSs were the smallest geographical unit possible to analyze with this data. Logistic regression models were fit to test differences between sex, age, number of children, family income, educational level, regions, and HS, using the lowest value of each variable as the reference group, adjusting by sex and age. Results At the national level, PO increased from 25% to 34% from 2009 to 2016. The southern regions have the highest PO in 2016 (Los Rios: 45%, Aysen:44%, Araucania:42%), and the lowest PO is even more than 30%. Although, the highest relative increase was in the north and central regions (Tarapacá:94%, Valparaíso:89%, Coquimbo:62%), as well as their HS. At HS level, in the Metropolitan Region, the PO varies from 21% to 46% in 2016 (OR = 3.3 IC95%1.4-7.9). Likewise, in the Valparaiso Region, it goes from 24% to 44% (OR = 2.9 IC95% 1.2-7). These differences in PO among HS levels in those regions were lower in 2009. Lower family income, educational level, and females with two or more children were associated with obesity in both surveys. Conclusions There is a high prevalence and increases in obesity in Chile at national and sub-national levels. The large variability in obesity observed among regions and Health Services suggests that lower geographical areas would be a potential target for effective interventions, complementarity to those at national levels. Key messages Analysis and intervention at a subnational level are required for preventing obesity in Chile. The high prevalence of obesity in Chile has a large variability among the subnational levels.

Factors contributing to educational differences in obesity among women: evidence from South Korea

BackgroundObesity is more prevalent among less-educated women than highly-educated women around the world. However, little is known about the factors which cause this difference in obesity, and almost nothing is known about how the individual factors which explain differences in education among women alone contribute to obesity. In this study, we identified the factors which help explain the relationship between education and obesity in women, and quantified their separate contributions to obesity.MethodsWe analyzed information on 14,577 women aged 25 years or over using datasets from the Korea National Health and Nutrition Examination Survey (2010–2014). We divided the women into two education groups: women who had, at most, finished high school (less-educated women), and women who had college degrees and beyond (highly-educated women). Using an extended Oaxaca-Blinder method, we decomposed the difference in obesity prevalence between the two education groups into the contributions (%) due to two effects: composition effect and association effect.ResultsObesity was more than twice as prevalent among the less-educated women (34.3%) than it was among the highly-educated women (16.0%). The composition effect—contribution of differences in the distribution of observed characteristics compared to that of the difference in obesity prevalence between the two education groups—was 38.2%. The association effect—contributions of differences in the estimated coefficients of characteristics compared to that of the difference in obesity prevalence between the two education groups—was 55.8%, of which lifestyle factors were the most important contributor (43.6%). Of the separate contributions of each factor, the association effect of the factor related to women’s stress exhibited the largest contribution (23.0%).ConclusionWe suggest that to effectively mitigate the high prevalence of obesity among less-educated women, it may be necessary to help low-educated women who do not feel stressful develop strategies to combat their higher risk of obesity. We also suggest the need to conduct decomposition studies in countries which show significant relationships between education and obesity among women, and to create targeted policies to reduce this population’s overall risk of obesity.

The association between dietary consumption, anthropometric measures and body composition of rural and urban Ghanaian adults: a comparative cross-sectional study

BackgroundOverweight and obesity have become threats to public health in all regions across the globe including sub-Saharan Africa where prevalence used to be low. Policies to regulate the food environment and promote healthy food consumption look promising to reducing the prevalence of obesity but in Ghana there is not enough data to elicit a policy response. This study assessed the association between dietary consumption, anthropometric measures, body composition and physical activity among rural and urban Ghanaian adults.MethodsThis was a cross-sectional study involving 565 Ghanaian adults. Structured interviewer administered questionnaires were used to collect information on socio-demographics. Dietary consumption was assessed using household food frequency questionnaire and 24-h recall. Height, weight, BMI, waist circumference and body composition of all participants were determined. The World Health Organization’s Global Physical Activity Questionnaire (GPAQ) was used to assess physical activity levels. Mann-Whitney U test was used to analyze differences in anthropometric measures, body composition and consumption among rural and urban participants. Principal component analysis was used to analyze household food frequency data and nutrient analysis template was used to analyze 24-h recall. Chi-square was used to measure differences in obesity prevalence by community and gender. Multinomial logistic regression was used to model the risk factors associated with obesity.ResultsThe prevalence of overweight and obesity using BMI were 29.9 and 22.9% respectively. Use of waist circumference measurement resulted in the highest overall obesity prevalence of 41.5%. Prevalence of obesity was higher among females compared to males across all measures with the exception of visceral fat that showed no significant difference. Four different patterns were derived from principal component analysis. Among urban participants, the staple pattern showed a significant negative correlation with visceral fat (r − 0.186, p-value 0.013) and BMI (r − 0.163, p-value 0.029). Multinomial logistic regression revealed that males (AOR 19.715, CI 9.723–39.978, p-value < 0.001) had higher odds of being of normal weight compared to females.ConclusionPrevalence of overweight and obesity continue to rise in Ghana, especially among females. Public education and screening as well as interventions that regulate the food environment and make affordable and available healthy food options are needed to control the rise in obesity prevalence.

Assessing the Role of Health Behaviors, Socioeconomic Status, and Cumulative Stress for Racial/Ethnic Disparities in Obesity.

This study aimed to examine the explanatory role of health behaviors, socioeconomic position (SEP), and psychosocial stressors on racial/ethnic obesity disparities in a multiethnic and multiracial sample of adults. Using data from the Chicago Community Adult Health Study (2001-2003), Oaxaca-Blinder decomposition analysis was conducted to quantify the extent to which health behaviors (fruit and vegetable consumption and physical activity), SEP, and cumulative stressors (e.g., perceived discrimination, financial strain) each explained differences in obesity prevalence in Black, US-born Hispanic, and non-US-born Hispanic compared with non-Hispanic White participants. SEP and health behaviors did not explain obesity differences between racial/ethnic minorities and White individuals. Having high levels of stress in four or more domains explained 4.46% of the differences between Black and White individuals, whereas having high levels of stress in three domains significantly explained 14.13% of differences between US-born Hispanic and White. Together, the predictors explained less than 20% of differences between any racial/ethnic minority group and White individuals. Exposure to stressors may play a role in obesity disparities, particularly among Black and US-born Hispanic individuals. Other obesity-related risk factors need to be examined to understand the underlying mechanisms explaining obesity disparities.

EXPLORING THE IMPACT OF RACE-ETHNICITY ON RESPONSE TO WEIGHT-LOSS TREATMENT: RESULTS FROM THE POWR-UP STUDY

Racial/ethnic differences in obesity prevalence and in responses to weight-loss treatment between Black and White women are well documented. Whether these differences influence responses to weight-loss treatment among older women is unknown. Therefore, we evaluated racial/ethnic differences among participants in a 6-month weight-loss study with traditional versus higher protein intake. Participants were obese (BMI ≥ 30 kg/m2) community-dwelling women, age 45 years or older, who self-identified as either Black or White. Change in body-weight, 6 minute walk test (6MWT), general health (SF-36), and satisfaction with life (SWL) were evaluated at 0, 4 and 6 months. Both racial groups reduced (ps < 0.01) body weight at 4 and 6 months, with a trend toward more weight loss among White women (p = 0.07), relative to Black women. Other racial/ethnic differences included greater improvements in general health (p = 0.05) and 6MWT (p < 0.05) for White versus Black women at 6 months; these differences persisted after adjusting for treatment group, age/education, and comorbidity. Although racial/ethnic differences in SWL were not observed, significant improvement was observed only among White women (p < 0.01). Interestingly, weight loss was associated with improved 6MWT only among Black women (r = -0.66, p < 0.05) and with general health only among White women (r = -0.44, p < 0.05). Overall, White women experienced greater improvements in health and physical function as a result of weight-loss than did Black women. Further research is needed to identify equitable intervention strategies for the treatment of sarcopenic obesity.

Racial differences in body composition and cardiometabolic risk during the menopause transition: a prospective, observational cohort study

Obesity disproportionately affects more women than men. The loss of ovarian function during the menopause transition coincides with weight gain, increases in abdominal adiposity, and impaired metabolic health. Racial differences in obesity prevalence that results from the menopause transition are not well understood. The purpose of the study was to assess longitudinal changes in body composition and cardiometabolic risk among black and white women during the menopausal transition. In a secondary analysis of a prospective, observational cohort study (the Healthy Transitions study), 161 women ≥43 years old with a body mass index of 20-40 kg/m2 and who had not yet transitioned through menopause were enrolled at Pennington Biomedical Research Center. Women were seen annually for body composition by dual-energy X-ray absorptiometry, for abdominal adipose tissue distribution by computed tomography, for sex steroid hormones, and for cardiometabolic risk factors that include fasting glucose, insulin, and lipids. Surrogate measures of insulin sensitivity were also calculated. Ninety-four women (25 black, 69 white) transitioned through menopause and were included within the analyses. At menopause onset, black women weighed more (77.8±3.0 vs 70.8±1.8 kg) and had a higher systolic (125±16 vs 118±14 mm Hg) and diastolic (80±8 vs 74±7 mm Hg) blood pressure compared with white women (all P≤.05). No other differences in body composition, sex steroid hormones, or cardiometabolic risk factors were observed at menopause onset. Before menopause, white women gained significant weight (3 kg), total body adiposity (6% percent body fat, 9% fat mass, 12% trunk fat mass) and abdominal adipose tissue (19% subcutaneous fat, 15% visceral fat, 19% total adipose tissue), which coincided with significant decreases in estradiol, sex hormone-binding globulin, and estrone sulfate and increases in follicle-stimulating hormone, total cholesterol, and low-density lipoprotein cholesterol. Conversely, black women had more abdominal adipose tissue before menopause, which was maintained across the menopause transition. Black women also had significant decreases in estrone sulfate and total testosterone and increases in follicle-stimulating hormone before menopause. In the postmenopausal years, abdominal subcutaneous adipose tissue, total adipose tissue, follicle-stimulating hormone, total cholesterol, and low-density and high-density lipoprotein cholesterol increased only in white women. White women gained more abdominal adiposity during the menopause transition compared with black women, which, in part, may be due to differences in the pattern of sex steroid hormone changes between women of different racial backgrounds. The gains in abdominal adiposity in white women were observed in tandem with increased cardiometabolic risk factors. Future studies should consider comprehensive lifestyle approaches to target these increased gains in abdominal adiposity (ie, nutrition and physical activity coaching), while taking into account the potential interactions of race, body adiposity, sex steroid hormones, and their influence on cardiometabolic risk.

Rapidly increasing prevalence of overweight and obesity in older Ghanaian adults from 2007-2015: Evidence from WHO-SAGE Waves 1 & 2.

BackgroundStudies on changes in the prevalence and determinants of obesity in older adults living in sub-Saharan Africa are scarce. We examined recent changes in obesity prevalence and associated factors for older adults in Ghana between 2007/08 and 2014/15.MethodsData on adults aged 50 years and older in Ghana were drawn from the WHO SAGE 2007/08 (Wave 1; n = 4158) and 2014/15 (Wave 2; n = 1663). The weighted prevalence of obesity, overweight, normal weight and underweight, and of high central adiposity were compared in 2007/08 and 2014/15. Multinomial and binomial logistic regressions were used to examine whether the determinants of weight status based on objectively measured body mass index and waist circumference changed between the two time periods.ResultsThe prevalence of overweight (2007/08 = 19.6%, 95% CI: 18.0–21.4%; 2014/15 = 24.5%, 95% CI: 21.7–27.5%) and obesity (2007/08 = 10.2%, 95% CI: 8.9–11.7%; 2014/15 = 15.0%, 95% CI: 12.6–17.7%) was higher in 2014/15 than 2007/08 and more than half of the population had high central adiposity (2007/08 = 57.7%, 95% CI: 55.4–60.1%; 2014/15 = 66.9%, 95% CI: 63.7–70.0%) in both study periods. While the prevalence of overweight increased in both sexes, obesity prevalence was 16% lower in males and 55% higher in females comparing 2007/08 to 2014/15. Female sex, urban residence, and high household wealth were associated with higher odds of overweight/obesity and high central adiposity. Those aged 70+ years had lower odds of obesity in both study waves. In 2014/15, females who did not meet the recommended physical activity were more likely to be obese.ConclusionOver the 7-year period between the surveys, the prevalence of underweight decreased and overweight increased in both sexes, while obesity decreased in males but increased in females. The difference in obesity prevalence may point to differential impacts of past initiatives to reduce overweight and obesity, potential high-risk groups in Ghana, and the need to increase surveillance.

Do differences in compositional time use explain ethnic variation in the prevalence of obesity in children? Analyses using 24-hour accelerometry.

Whether variation in sleep and physical activity explain marked ethnic and socioeconomic disparities in childhood obesity is unclear. As time spent in one behaviour influences time spent in other behaviours across the 24-hour day, compositional analyses are essential. The aims of this study were to determine how ethnicity and socioeconomic status influence compositional time use in children, and whether differences in compositional time use explain variation in body mass index (BMI) z-score and obesity prevalence across ethnic groups. In all, 690 children (58% European, 20% Māori, 13% Pacific, 9% Asian; 66% low-medium deprivation and 34% high deprivation) aged 6-10 years wore an ActiGraph accelerometer 24-hours a day for 5 days yielding data on sedentary time, sleep, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Height and weight were measured using standard techniques and BMI z-scores calculated. Twenty-four hour movement data were transformed into isometric log-ratio co-ordinates for multivariable regression analysis and effect sizes were back-transformed. European children spent more time asleep (predicted difference in minutes, 95% CI: 16.1, 7.4-24.9) and in MVPA (6.6 min, 2.4-10.4), and less time sedentary (-10.2 min, -19.8 to -0.6) and in LPA (-12.2 min, -21.0 to -3.5) than non-European children. Overall, 10% more sleep was associated with a larger difference in BMI z-score (adjusted difference, 95% CI: -0.13, -0.25 to -0.01) than 10% more MVPA (-0.06, -0.09 to -0.03). Compositional time use explained 35% of the increased risk of obesity in Pacific compared with European children after adjustment for age, sex, deprivation and diet, but only 9% in Māori and 24% in Asian children. Ethnic differences in compositional time use explain a relatively small proportion of the ethnic differences in obesity prevalence that exist in children.

A Growing Social Divide in Body Mass Index, Strength, and Fitness of Swedish Male Conscripts

PurposeThe aim of the study was to monitor trends in socioeconomic inequalities in body mass index (BMI), cardiorespiratory fitness (CRF), and muscular strength over several decades in a population of Swedish males aged 18–19 years. MethodsThe cohort consists of 1.5 million young men attending military conscript examinations from late 1968 to 2005. Parental education was used as a marker for socioeconomic conditions in the conscripts' families of origin. Changing gradient in BMI, CRF, and muscular strength in sons of parents with higher and lower educational attainment was evaluated during four periods covering 36 years. ResultsOver the course of the obesity epidemic, BMI remained higher in conscripts with lesser (vs. higher) parental education. Moreover, the absolute difference in obesity prevalence between groups showed a continuous increase, from .6% to 3.9%, indicating growing inequalities. Regarding fitness, lower CRF was consistently associated with less parental education, but with no clear secular trend in the magnitude of the difference. Finally, social differences in muscular strength changed in direction, from lower strength among conscripts with higher parental education in the initial observation period to lower strength associated with lower parental education in the final decade studied. ConclusionsAmong Swedish conscripts entering adulthood, social gradients in BMI and obesity widened continuously between 1968 and 2005. An apparent reversal of the earlier gradient in muscular strength in young men may be related to societal trends in occupational and leisure-time physical activity over the observation period. This cohort is being continually monitored through national registries for obesity-related comorbidities in later life.

Obesity: global epidemiology and pathogenesis.

The prevalence of obesity has increased worldwide in the past ~50 years, reaching pandemic levels. Obesity represents a major health challenge because it substantially increases the risk of diseases such as type 2 diabetes mellitus, fatty liver disease, hypertension, myocardial infarction, stroke, dementia, osteoarthritis, obstructive sleep apnoea and several cancers, thereby contributing to a decline in both quality of life and life expectancy. Obesity is also associated with unemployment, social disadvantages and reduced socio-economic productivity, thus increasingly creating an economic burden. Thus far, obesity prevention and treatment strategies - both at the individual and population level - have not been successful in the long term. Lifestyle and behavioural interventions aimed at reducing calorie intake and increasing energy expenditure have limited effectiveness because complex and persistent hormonal, metabolic and neurochemical adaptations defend against weight loss and promote weight regain. Reducing the obesity burden requires approaches that combine individual interventions with changes in the environment and society. Therefore, a better understanding of the remarkable regional differences in obesity prevalence and trends might help to identify societal causes of obesity and provide guidance on which are the most promising intervention strategies.

Geographic differences in obesity prevalence and its risk factors among Asian Americans: findings from the 2013\u20132014 California Health Interview Survey

Geography disparities exist in obesity and obesity related conditions. This study aimed to examine the geographic differences in obesity prevalence and its risk factors among Asian Americans in California. Data (n = 4,000) from the 2013–2014 California Health Interview Survey were used. Obesity (≥27.5 kg/m2) was defined according to the World Health Organization Asian body mass index cut points in Asian groups. Results suggest that 66.5% of Asians lived in urban areas. Among Asian adults, obesity prevalence was highest in Filipinos (33.8%) and lowest in Koreans (12.8%). Compared to rural Vietnamese, obesity prevalence was higher for urban Vietnamese (8.3% vs. 20.2%, p = 0.0318). Weighted multiple logistic regression analyses showed that being 45–64 years (vs. 65 years or above), being Japanese, Filipino, or other Asians (vs. Chinese) were associated with a higher odds of obesity among urban residents; whereas being 18–44 years and being 45–64 years (vs. 65 years or older), being male, having high school education (vs. having graduate education) were associated with a higher odds of obesity among rural residents. Being Vietnamese (vs. Chinese) was associated with 64% decreased odds of obesity only among rural residents (95% confidence interval = 0.14–0.94). The findings show geography disparities in obesity among Asians in California.

Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013-2016

Differences in obesity by sex, age group, race and Hispanic origin among US adults have been reported, but differences by urbanization level have been less studied. To provide estimates of obesity by demographic characteristics and urbanization level and to examine trends in obesity prevalence by urbanization level. Serial cross-sectional analysis of measured height and weight among adults aged 20 years or older in the 2001-2016 National Health and Nutrition Examination Survey, a nationally representative survey of the civilian, noninstitutionalized US population. Sex, age group, race and Hispanic origin, education level, smoking status, and urbanization level as assessed by metropolitan statistical areas (MSAs; large: ≥1 million population). Prevalence of obesity (body mass index [BMI] ≥30) and severe obesity (BMI ≥40) by subgroups in 2013-2016 and trends by urbanization level between 2001-2004 and 2013-2016. Complete data on weight, height, and urbanization level were available for 10 792 adults (mean age, 48 years; 51% female [weighted]). During 2013-2016, 38.9% (95% CI, 37.0% to 40.7%) of US adults had obesity and 7.6% (95% CI, 6.8% to 8.6%) had severe obesity. Men living in medium or small MSAs had a higher age-adjusted prevalence of obesity compared with men living in large MSAs (42.4% vs 31.8%, respectively; adjusted difference, 9.8 percentage points [95% CI, 5.1 to 14.5 percentage points]); however, the age-adjusted prevalence among men living in non-MSAs was not significantly different compared with men living in large MSAs (38.9% vs 31.8%, respectively; adjusted difference, 4.8 percentage points [95% CI, -2.9 to 12.6 percentage points]). The age-adjusted prevalence of obesity was higher among women living in medium or small MSAs compared with women living in large MSAs (42.5% vs 38.1%, respectively; adjusted difference, 4.3 percentage points [95% CI, 0.2 to 8.5 percentage points]) and among women living in non-MSAs compared with women living in large MSAs (47.2% vs 38.1%, respectively; adjusted difference, 4.7 percentage points [95% CI, 0.2 to 9.3 percentage points]). Similar patterns were seen for severe obesity except that the difference between men living in large MSAs compared with non-MSAs was significant. The age-adjusted prevalence of obesity and severe obesity also varied significantly by age group, race and Hispanic origin, and education level, and these patterns of variation were often different by sex. Between 2001-2004 and 2013-2016, the age-adjusted prevalence of obesity and severe obesity significantly increased among all adults at all urbanization levels. In this nationally representative survey of adults in the United States, the age-adjusted prevalence of obesity and severe obesity in 2013-2016 varied by level of urbanization, with significantly greater prevalence of obesity and severe obesity among adults living in nonmetropolitan statistical areas compared with adults living in large metropolitan statistical areas.

Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016

Differences in childhood obesity by demographics and urbanization have been reported. To present data on obesity and severe obesity among US youth by demographics and urbanization and to investigate trends by urbanization. Measured weight and height among youth aged 2 to 19 years in the 2001-2016 National Health and Nutrition Examination Surveys, which are serial, cross-sectional, nationally representative surveys of the civilian, noninstitutionalized population. Sex, age, race and Hispanic origin, education of household head, and urbanization, as assessed by metropolitan statistical areas (MSAs; large: ≥ 1 million population). Prevalence of obesity (body mass index [BMI] ≥95th percentile of US Centers for Disease Control and Prevention [CDC] growth charts) and severe obesity (BMI ≥120% of 95th percentile) by subgroups in 2013-2016 and trends by urbanization between 2001-2004 and 2013-2016. Complete data on weight, height, and urbanization were available for 6863 children and adolescents (mean age, 11 years; female, 49%). In 2013-2016, the prevalence among youth aged 2 to 19 years was 17.8% (95% CI, 16.1%-19.6%) for obesity and 5.8% (95% CI, 4.8%-6.9%) for severe obesity. Prevalence of obesity in large MSAs (17.1% [95% CI, 14.9%-19.5%]), medium or small MSAs (17.2% [95% CI, 14.5%-20.2%]) and non-MSAs (21.7% [95% CI, 16.1%-28.1%]) were not significantly different from each other (range of pairwise comparisons P = .09-.96). Severe obesity was significantly higher in non-MSAs (9.4% [95% CI, 5.7%-14.4%]) compared with large MSAs (5.1% [95% CI, 4.1%-6.2%]; P = .02). In adjusted analyses, obesity and severe obesity significantly increased with greater age and lower education of household head, and severe obesity increased with lower level of urbanization. Compared with non-Hispanic white youth, obesity and severe obesity prevalence were significantly higher among non-Hispanic black and Hispanic youth. Severe obesity, but not obesity, was significantly lower among non-Hispanic Asian youth than among non-Hispanic white youth. There were no significant linear or quadratic trends in obesity or severe obesity prevalence from 2001-2004 to 2013-2016 for any urbanization category (P range = .07-.83). In 2013-2016, there were differences in the prevalence of obesity and severe obesity by age, race and Hispanic origin, and household education, and severe obesity was inversely associated with urbanization. Demographics were not related to the urbanization findings.

Increasing inequality in childhood obesity in primary schools in a northern English town

ObjectiveTo undertake an analysis of National Child Measurement Programme (NCMP) data to quantify the obesity prevalence gap over time between children in primary schools in the most and least deprived areas of Doncaster. Study designThe research design for this study was retrospective quantitative analysis of secondary data. MethodsThe study undertook secondary analysis of NCMP data on obesity prevalence in children in Reception Year and Year 6 in primary schools in Doncaster for the period 2006–2007 to 2014–2015. Data were combined into three 3-year periods (2006–2007 to 2008–2009; 2009–2010 to 2011–2012; and 2012–2013 to 2014–2015), and schools were grouped by deprivation based on the national Indices of Multiple Deprivation 2015. Analysis was undertaken to assess whether there is a difference in obesity prevalence for Reception Year and Year 6 children in schools in the most deprived areas compared with the least deprived (prevalence gap), over time. ResultsThe difference in obesity prevalence between children attending schools in the most and least deprived areas has increased over time. For Reception Year children, the prevalence gap has widened from a difference of 1.01% higher in the most deprived schools in 2006–2007 to 2008–2009 to 3.64% higher in 2012–2013 to 2014–2015. In the same time periods, for Year 6 children, the obesity prevalence gap has also increased over time from 2.82% to 5.08%. ConclusionsThere is inequality in relation to obesity in primary school children in Doncaster with those in schools in the most deprived areas carrying the greatest burden. Research is needed to understand why the plateau seen nationally is not reaching the most deprived children.

Obesity prevalence among healthcare professionals in England: a cross-sectional study using the Health Survey for England

ObjectiveTo estimate obesity prevalence among healthcare professionals in England and compare prevalence with those working outside of the health services.DesignCross-sectional study based on data from 5 years (2008–2012) of the...

Assessment of Obesity and Hyperlipidemia in Persons with Spinal Cord

To study benefits of using FMP(fat mass percentage) measured by BIA(bioelectrical impedance analysis), as an obesity index in SCI patients. We assessed difference in obesity prevalence according to clinical characteristics of SCI patients when BMI and FMP were used as diagnostic criteria for obesity. Blood lipid profile and occurrence of hyperlipidemia were also evaluated on two different obesity indexes.