Global prevalence of overweight and obesity in preschoolers

Twenty-three studies reporting cross-sectional and longitudinal data were conducted in 14 different countries between 1998 and 2008. The number of preschool age children totaled more than 43,837 with one study not reporting a sample size. Studies used both international (i.e., International Obesity Task Force (IOTF), World Health Organization (WHO)) and national reference standards (i.e., United States - Centers for Disease Control and Prevention (CDC), Spain - SRS, Italy - Luciano) to classify children as overweight or obese. Within the same sample the percentage of children classified in these categories often showed a 1.5- to 2-fold difference in the prevalence of overweight/obesity with greatest differences in the between country-specific standards (CDC vs. Luciano). WHO percentages frequently exceeded the IOTF percentages. The prevalence of overweight/obese children escalated with increasing age from 2-5 years in both boys and girls with girls showing higher frequencies in 2/3rds of the 72 sex-paired comparisons. The results indicate a recent high prevalence of overweight and obesity in middle and high income countries, among both well-off and lower income segments of populations, in both rural and urban areas, and among all ethnic and racial groups represented. Because a high proportion of preschool overweight/ obese children will continue to increase their adiposity and are at risk for the early onset of metabolic syndrome, cardiovascular disease, type 2 diabetes, musculoskeletal disorders and behavioral problems, concerted public health efforts are needed to coordinate culturally-appropriate parental and caregiver education, home lifestyle changes, dietary and exercise modifications that will reverse the current trajectory.     

The prevalence of obesity in ethnic admixture adults

Objective: To determine whether the prevalence of obesity in ethnic admixture adults varies systematically from the average of the prevalence estimates for the ethnic groups with whom they share a common ethnicity. Methods and Procedures: The sample included 215,000 adults who reported one or more ethnicities, height, weight, and other characteristics through a mailed survey. Results: The highest age‐adjusted prevalence of overweight (BMI ≥ 25) was in Hawaiian/Latino men (88%; n = 41) and black/Latina women (74.5%; n = 79), and highest obesity (BMI ≥ 30) rates were in Hawaiian/Latino men (53.7%; n = 41) and Hawaiian women (39.2%, n = 1,247). The prevalence estimates for most admixed groups were similar to or higher than the average of the prevalences for the ethnic groups with whom they shared common ethnicities. For instance, the prevalence of overweight/obesity in five ethnic admixtures—Asian/white, Hawaiian/white, Hawaiian/Asian, Latina/white, and Hawaiian/Asian/white ethnic admixtures—was significantly higher (P < 0.0001) than the average of the prevalence estimates for their component ethnic groups. Discussion: The identification of individuals who have a high‐risk ethnic admixture is important not only to the personal health and well‐being of such individuals, but could also be important to future efforts in order to control the epidemic of obesity in the United States.     

Overweight and obesity prevalence in urban Sardinian children

The aim of this study is to evaluate the prevalence of overweight and obesity in children (6-10 years) of the city of Cagliari (Sardinia, Italy) with different socioeconomic status. The sample is composed by 1000 children, 500 males and 500 females, 6 to 10 years old, attending primary schools in Cagliari during 2003. For uniformity with similar Italian studies, in this study overweight and obesity were defined as calculated from the charts published by Tanner et al. (1966). In the Cagliari children, the prevalence of obesity is 22.70%. The percentages of overweight and obese children increase with age: respectively from 11.5% and 14.0% at 6 years to 15.4% and 22.7% at 10 years. There are higher numbers of overweight and obese boys than girls in all the age classes. Both males and females show an increasing percentage of overweight and obesity as the socioeconomic level decreases. Males present higher percentages of overweight and obesity than females of the same social level, i.e. in the lowest social category overweight is 18.68% in males and 13.60% in females and obesity 26.46% in males and 23.62% in females. The standard multivariate regression analysis with the indicator of overweight and obesity as dependent variable showed that the sex (male), socio-economic status, maternal schooling and sums of the limb and trunk skinfolds have the greatest influence on overweight and obesity. The results suggest that overweight and obesity are becoming serious social and health problems in Sardinia.     

Psychosocial and demographic determinants of regional differences in the prevalence of obesity

Differences in the prevalence of obesity between adjacent regions are quite common, but usually unexplained. This study examined whether birth place, selective migration, intelligence or education--which are both inversely and possibly causally related to obesity--are determinants of such differences. This population-based case-control study (case-cohort design) took place in the greater Copenhagen area (region 1) and surrounding provincial areas of Zealand (region 2), Denmark. A total of 2948 men with a median age of 19 years from two draft board regions during 1966-1977 were examined. The odds ratio (OR) for being obese (defined as body mass index > or = 31 kg/m2) was investigated using multiple logistic regression analyses. The OR for being obese in region 2 compared with region 1 was 1.74 (1.50-2.03). Adjustment for birth place, intelligence test score and educational level reduced the OR to 1.42 (1.10-1.82). The OR for being obese for those born in region 2 compared with region 1 was 1.71 (1.46-2.01). Adjustments for intelligence test score, educational level and examination region reduced this OR to 1.13 (0.87-1.46). Irrespective of birth place, men examined in region 2 had a higher OR for being obese than those examined in region 1; this effect was most pronounced for those born in region 2 and examined in either region 1 or 2, with an OR of 1.06 (0.71-1.57) and 1.87 (1.58-2.22) respectively. In conclusion, the regional differences in the prevalence of obesity could not be explained by birth place or later selective migration, but educational level and intelligence test score did explain some of the difference.     

Recent trends in the prevalence of overweight and obesity among Canadian children

Background:Previous studies have shown an increase in the prevalence of overweight and obesity among Canadian children from 23.3% to 34.7% during 1978–2004. We examined the most recent trends by applying current definitions of overweight and obesity based on World Health Organization (WHO) body mass index (BMI) thresholds and recently validated norms for waist circumference and waist:height ratio.Methods:We examined directly measured height and weight data from the Canadian Community Health Survey (2004–2005) and the Canadian Health Measures Survey (2009–2013). We calculated z scores for BMI, height and weight based on the 2014 WHO growth charts for Canada, including the new extension of weight-for-age beyond 10 years. To calculate z scores for waist circumference and waist:height ratios, we used new charts from the reference population in the US NHANES III (National Health and Nutrition Examination Survey, 1988–1994).Results:Data were available for 14 014 children aged 3–19 years for the period 2004–2013. We observed a decline in the prevalence of overweight or obesity, from 30.7% (95% confidence interval [CI] 29.7% to 31.6%) to 27.0% (95% CI 25.3% to 28.7%) (p < 0.001) and stabilization in the prevalence of obesity at about 13%. These trends persisted after we adjusted for age, sex and race/ethnicity. Although they declined, the median z scores for BMI, weight and height were positive and higher than those in the WHO reference population. The z scores for waist circumference and waist:height ratio were negative, which indicated that the Canadian children had less central adiposity than American children in historic or contemporary NHANES cohorts.Interpretation:After a period of dramatic growth, BMI z scores and the prevalence of overweight or obesity among Canadian children decreased from 2004 to 2013, which attests to progress against this important public health challenge.Ongoing pan-Canadian surveys such as the Canadian Community Health Survey (CCHS) and Canadian Health Measures Survey (CHMS) are important to evaluate the health of our population using representative national samples.^1,2 Self-reported heights and weights replaced direct measurement during 1978–2004, which underestimated true rates of overweight and obesity.³ A subsequent comparison of directly measured heights and weights during the same period showed an alarming increase in the prevalence of overweight or obesity among Canadian children aged 2–17 years, from 23.3% (95% confidence interval [CI] 20.5% to 26.0%) to 34.7% (95% CI 33.0% to 36.4%) based on the new World Health Organization (WHO) definitions.¹In Canada, the definitions of overweight and obesity changed with the introduction of the 2010 WHO growth charts for Canada.^4,5 Previous definitions were based on body mass index (BMI) percentiles from the 2000 US Centers for Disease Control and Prevention (CDC) growth charts.⁶ In addition to revising these percentile thresholds, the WHO charts were based on a different reference population; as a result, the proportion of Canadian children classified as overweight or obese increased with the introduction of the new WHO charts.^1,7,8 Moreover, the absolute percentile thresholds now vary by age, with toddlers (2 to ≤ 5 yr) having higher thresholds to define overweight and obesity than older children (age > 5 to 19 yr).⁴Results from the United States have shown a decline in obesity rates among toddlers and a plateau in rates among older children;^9,10 stabilization has also been noted in other jurisdictions (e.g., Germany and Australia).^11–16 We undertook this study to determine the most recent trends in the prevalence of overweight and obesity among Canadian children using the current WHO weight charts for Canada applied to a representative sample of children.     

Higher prevalence of obesity among children with asthma

The aim of this study is to investigate the association between childhood obesity and asthma, and whether this relationship varies by race/ethnicity. For this population-based, cross-sectional study, measured weight and height, and asthma diagnoses were extracted from electronic medical records of 681,122 patients aged 6-19 years who were enrolled in an integrated health plan 2007-2009. Weight class was assigned based on BMI-for-age. Overall, 18.4% of youth had a history of asthma and 10.9% had current asthma. Adjusted odds of current asthma for overweight, moderately obese, and extremely obese youth relative to those of normal weight were 1.22 (95% confidence interval (CI): 1.20, 1.24), 1.37 (95% CI: 1.34, 1.40), and 1.68 (95% CI: 1.64, 1.73), respectively (P trend < 0.001). Black youth are nearly twice as likely (adjusted odds ratio (OR) = 1.93, 95% CI: 1.89, 1.99), and Hispanic youth are 25% less likely (adjusted OR = 0.75, 95% CI: 0.74, 0.77), to have current asthma than to non-Hispanic white youth. However, the relationship between BMI and asthma was strongest in Hispanic and weakest in black youth. Among youth with asthma, increasing body mass was associated with more frequent ambulatory and emergency department visits, as well as increased inhaled and oral corticosteroid use. In conclusion, overweight, moderate, and extreme obesity are associated with higher odds of asthma in children and adolescents, although the association varies widely with race/ethnicity. Increasing BMI among youth with asthma is associated with higher consumption of corticosteroids and emergency department visits.     

Epidemiologic behavior of obesity in the Maracaibo City metabolic syndrome prevalence study

Introduction

Obesity is a worldwide public health issue. Since the epidemiological behaviour of this disease is not well established in our country, the purpose of this study was to determinate its prevalence in the Maracaibo City, Zulia State- Venezuela.

Materials and Methods

A cross-sectional study was undertaken using the data set from the Maracaibo City Metabolic Syndrome Prevalence Study. The sample consists of 2108 individuals from both genders and randomly selected: 1119 (53.09%) women and 989 (46.91%) men. The participants were interrogated for a complete clinical history and anthropometric measurements. To classify obesity, the WHO criteria for Body Mass Index (BMI), and Waist Circumference (WC) from the IDF/NHLBI/AHA/WHF/IAS/IASO-2009 (IDF-2009) and ATPIII statements were applied.

Results

For BMI, obesity had an overall prevalence of 33.3% (n = 701), and according to gender women had 32.4% (n = 363) and men had 34.2% (n = 338). Overweight had a prevalence of 34.8% (n = 733), Normal weight had 29.8% (n = 629), and Underweight had 2.1% (n = 45). Adding Obesity and Overweight results, the prevalence of elevated BMI (>25 Kg/m²) was 68.1%. Using the IDF-2009 WC''s cut-off, Obesity had 74.2% prevalence, compared to 51.7% using the ATPIII parameters.

Conclusions

These results show a high prevalence of abdominal obesity in our locality defined by the WHO, IDF-2009 and ATPIII criteria, which were not designed for Latin-American populations. We suggest further investigation to estimate the proper values according to ethnicity, genetic background and sociocultural aspects.     

Explained and unexplained regional variation in Canadian obesity prevalence

The objective of our study was to examine sociodemographic and behavioral variables underlying the geographic variation of obesity in Canada. We aimed to quantify the share of regional variation in average BMI attributable to commonly cited determinants of obesity and the remaining share, which is attributable to the idiosyncrasies of the regional environment ("regional effects"). Using data from the Canadian Community Health Survey (CCHS) (2004), ordinary least squares (OLS) regression, and Blinder-Oaxaca decomposition to decompose the difference in mean BMI between regions, we quantify two parts of the difference: a share explained by different levels of the covariates and a share explained by those covariates having different effects on BMI in the different regions, using the Atlantic provinces as the reference group. We observed that some differences (e.g., average BMI for males in Quebec compared to the Atlantic provinces) are mostly explained by the different levels of socio-demographic and behavioral covariates, while others (e.g., average BMI for females in Quebec compared to the Atlantic provinces) are mostly explained by the different effects of the covariates on BMI. In the latter scenario, even if covariates were made to be identical in the different regions, the difference in average BMI would persist. Thus, targeting covariates in different regions through plans like physical activity or nutrition policy, income equalization, or education subsidies will have ambiguous effects for addressing disparate obesity levels, being plausible policy options in some regions but less so in others. Future research and policy would benefit from identifying these region-specific attributes that have local implications for BMI.     

Identifying subgroups of age and cohort effects in obesity prevalence

The obesity epidemic represents an important public health issue in the United States. Studying obesity trends across age groups over time helps to identify crucial relationships between the disease and medical treatment allowing for the development of effective prevention policies. We aim to define subgroups of age and cohort effects in obesity prevalence over time by considering an optimization approach applied to the age‐period‐cohort (APC) model. We consider a heterogeneous regression problem where the regression coefficients are age dependent and belong to subgroups with unknown grouping information. Using the APC model, we apply the alternating direction method of multipliers (ADMM) algorithm to develop a two‐step algorithm for (1) subgrouping of cohort effects based on similar characteristics and (2) subgrouping age effects over time. The proposed clustering approach is illustrated for the United States population, aged 18–79, during the period 1990–2017.     

Projected Demographic Profile of People Living with HIV in Australia: Planning for an Older Generation

Background

Advances in HIV antiretroviral therapy (ART) has reduced mortality in people living with HIV (PLHIV), resulting in an ageing population of PLHIV. Knowledge of demographic details such as age, geographical location and sex, will aid in the planning of training and resource allocation to effectively care for the future complex health needs of PLHIV.

Methods

An agent-based, stochastic, geographical model was developed to determine the current and future demographic of PLHIV in Australia. Data and parameters were sourced from Australia''s National HIV Registry and peer reviewed literature. Processes that were simulated include progression to AIDS, mortality and internal migration.

Findings

The model estimates the mean age of PLHIV in Australia is increasing at a rate of 0.49 years each year. The expected proportion of PLHIV in over 55 years is estimated to increase from 25.3% in 2010 to 44.2% in 2020. Median age is lower in inner-city areas of the capital cities than in rural areas. The areas with the highest prevalence of HIV will continue to be capital cities; however, other areas will have greater percentage growth from 2010 to 2020.

Conclusions

The age of the population of people living with HIV is expected to increase considerably in the future. As the population of PLHIV ages, specialist clinical training and resource provision in the aged care sector will also need to be addressed.     

Epidemiological survey for the prevalence of overweight and abdominal obesity in Greek adolescents

This study was designed to provide estimates of overweight (OW), obesity (OB), and abdominal OB (AO) in a representative sample of adolescents throughout the whole of Greece. A total of 14,456 adolescents aged 13-19 years (6,677 boys and 7,779 girls) had direct measurements (height, weight, waist circumference (WC)) taken at school during 2003. The overall prevalence of OW including OB in the population studied was 29.4% in boys and 16.7% in girls. OB prevalence was also higher in boys than in girls (6.1% vs. 2.7%), whereas prevalence of AO was higher in girls than in boys (21.7% vs. 13.5%). Rates of OW, OB, and AO were significantly more prevalent in the Greek than in the foreign male population (immigrants). OW% in adolescent girls was independently associated with smoking and alcohol consumption. The prevalence of OW and OB in Greek adolescents is high, particularly in boys, comparable with that reported for most Mediterranean European countries. AO, mainly in adolescent girls, also appears high. Preventive and treatment strategies are urgently needed to combat this OB epidemic in Greece.     

Income inequality and obesity prevalence among OECD countries

Using recent pooled data from the World Health Organization Global Infobase and the World Factbook compiled by the Central Intelligence Agency of the United States, this study assesses the relation between income inequality and obesity prevalence among 31 OECD countries through a series of bivariate and multivariate linear regressions. The United States and Mexico well lead OECD countries in both obesity prevalence and income inequality. A sensitivity analysis suggests that the inclusion or exclusion of these two extreme cases can fundamentally change the findings. When the two countries are included, the results reveal a positive correlation between income inequality and obesity prevalence. This correlation is more salient among females than among males. Income inequality alone is associated with 16% and 35% of the variations in male and female obesity rates, respectively, across OECD countries in 2010. Higher levels of income inequality in the 2005-2010 period were associated with a more rapid increase in obesity prevalence from 2002 to 2010. These associations, however, virtually disappear when the US and Mexico have been excluded from the analysis. Findings from this study underscore the importance of assessing the impact of extreme cases on the relation between income inequality and health outcomes. The potential pathways from income inequality to the alarmingly high rates of obesity in the cases of the US and Mexico warrant further research.     

Micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt.

I examine the relationship between micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt using the 1997 Egyptian Integrated Household Survey. The ordered logit results show an overlap between micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt. The odds of being overweight/obese are 80.8% higher for micronutrient deficient mothers than for non-deficient mothers, keeping all other variables constant. These results have at least two interesting policy implications. First, as the potential impact of the interaction between micronutrient deficiency and chronic diseases is not well known, the coexistence of micronutrient deficient and overweight/obese women can raise new and serious public health problems in the country. Second, the Egyptian food subsidy program, which lowers the relative prices of energy-dense, nutrient-poor food items, can be one of the major factors for the emergence of overweight/obese and micronutrient deficient mothers in the country. Changing the orientation of the food subsidy program may help to simultaneously address this double burden of mothers' malnutrition.     

A pilot study on the prevalence of maternal obesity in selected Greek counties

ObjectiveTo report a pilot prevalence of maternal overweight, obesity and underweight in selected Greek counties.MethodsA total of 441 adult childbearing women were recruited from maternity clinics in 6 Greek counties for this cross-sectional study. Pre-gravid weight status was defined according to the WHO cut-offs and gravid weight status was diagnosed with the Mardones and Rosso weight gain chart.ResultsDuring gestation the majority of the participants were of normal body weight (BW) (34.0%), obesity was apparent in 25.6% of the sample, 23.8% of the participants were underweight, and the remaining 16.6% were overweight. Overall, pregnancy tripled the prevalence of underweight, increased the prevalence of obesity (by 388.0%) and decreased the number of participants in the normal BW category (p ≤ 0.001 for all). The majority of participants classified in each pre-gravid weight-category remained in the same weight category during their gestation. All the pre-gravidly obese women were also obese during pregnancy. Underweight was more prevalent in Kavala (37.5%) and obesity was more frequent in Thessaloniki (30.8%). Women who were overweight prior to conception were highly likely to be overweight/obese during pregnancy (OR: 23.8, CI: 11.1–51.0).ConclusionsThe results indicate a high prevalence of overweight, obesity and underweight among pregnant women in Greece.     

Micronutrient deficiency and the prevalence of mothers’ overweight/obesity in Egypt

I examine the relationship between micronutrient deficiency and the prevalence of mothers’ overweight/obesity in Egypt using the 1997 Egyptian Integrated Household Survey. The ordered logit results show an overlap between micronutrient deficiency and the prevalence of mothers’ overweight/obesity in Egypt. The odds of being overweight/obese are 80.8% higher for micronutrient deficient mothers than for non-deficient mothers, keeping all other variables constant. These results have at least two interesting policy implications. First, as the potential impact of the interaction between micronutrient deficiency and chronic diseases is not well known, the coexistence of micronutrient deficient and overweight/obese women can raise new and serious public health problems in the country. Second, the Egyptian food subsidy program, which lowers the relative prices of energy-dense, nutrient-poor food items, can be one of the major factors for the emergence of overweight/obese and micronutrient deficient mothers in the country. Changing the orientation of the food subsidy program may help to simultaneously address this double burden of mothers’ malnutrition.