Epidemiology of Overweight and Obesity in a Greek Adult Population: the ATTICA Study

Objective: To evaluate the status of overweight and obesity in a Greek random sample. Research Methods and Procedures: From 2001 to 2002, 1514 men (20 to 87 years old) and 1528 women (20 to 89 years old) were enrolled into the study. Among several sociodemographic, lifestyle, and bioclinical factors, anthropometric characteristics were also recorded. Overweight and obesity were defined according to the World Health Organization classification. Results: The prevalences of overweight and obesity were 53% and 20% in men and 31% and 15% in women (p for gender differences < 0.05). The age‐adjusted peak prevalence of obesity was observed in men older than 40 years old and women between 50 and 59 years old (Bonferonni α < 0.001). Central obesity prevailed in 36% of men and 43% of women (p for gender differences < 0.001). Obesity varied from 10% in rural to 25% in urban areas, but this difference was explained mainly by differences in occupational status (p = 0.9). Moreover, obese and overweight participants were older, less educated, more frequently sedentary, consumed higher quantities of alcoholic beverages, and were devoted to an unhealthier diet as compared with those of normal weight (all p < 0.05). A positive association was also observed between BMI and diastolic and systolic blood pressures, total cholesterol, triglycerides, and glucose levels (all p < 0.001). Discussion: Overweight and obesity seem to be a great health problem in the Greek population, especially in middle‐aged and older adults. Unfavorable lifestyle habits, low education, and the classical cardiovascular risk factors were associated with the prevalence of these health conditions.     

An Observational Study of Slimming Behavior in Denmark in 1992 and 1998

Objective: To elucidate how frequent weight‐loss attempts are made, the methods used to achieve weight loss, and the extent to which the outcome is positive. Research Methods and Procedures: Two independent interviews were conducted in 1992 and in 1998, each with 1200 randomly selected adult subjects. Each survey was designed to ensure an equal distribution of age, gender, and geographical regions in Denmark. Results: The proportion of subjects having attempted weight loss did not change from 1992 to 1998, although the prevalence of overweight and obesity increased from 1992 (overweight, 30%; obesity, 6%) to 1998 (overweight, 35%; obesity, 8%). Almost twice as many women (61%) than men (32%) had attempted weight loss (p < 0.0001). Slimming occurred more often in subjects <50 years (51%) than >50 years (39%) (p < 0.0001), although overweight and obesity were more frequent in the elderly. Over‐the‐counter diet pills or meal replacements were associated with a negative outcome of slimming treatment (p < 0.0001). Discussion: Approximately half of all adult Danes have attempted weight loss, particularly women and individuals <50 years. This finding is inconsistent with the fact that overweight and obesity are more prevalent in men and in individuals >50 years. Changes in habitual diet and increased physical activity are the most prevalent modes of slimming, whereas the use of over‐the‐counter diet pills or meal replacements has decreased from 1992 to 1998. This development may have a positive impact on future body‐ weight‐management strategies.     

Additive Interactions of Maternal Prepregnancy BMI and Breast‐feeding on Childhood Overweight

Objective: To examine the interactions of maternal prepregnancy BMI and breast‐feeding on the risk of overweight among children 2 to 14 years of age. Research Methods and Procedures: The 1996 National Longitudinal Survey of Youth, Child and Young Adult data in the United States were analyzed (n = 2636). The weighted sample represented 51.3% boys, 78.0% whites, 15.0% blacks, and 7.0% Hispanics. Childhood overweight was defined as BMI ≥95th percentile for age and sex. Maternal prepregnancy obesity was determined as BMI ≥30 kg/m². The duration of breast‐feeding was measured as the weeks of age from birth when breast‐feeding ended. Results: After adjusting for potential confounders, children whose mothers were obese before pregnancy were at a greater risk of becoming overweight [adjusted odds ratio (OR), 4.1; 95% confidence interval (CI), 2.6, 6.4] than children whose mothers had normal BMI (<25 kg/m²; p < 0.001 for linear trend). Breast‐feeding for ≥4 months was associated with a lower risk of childhood overweight (OR, 0.6; 95% CI, 0.4, 1.0; p = 0.06 for linear trend). The additive interaction between maternal prepregnancy obesity and lack of breast‐feeding was detected (p < 0.05), such that children whose mothers were obese and who were never breast‐fed had the greatest risk of becoming overweight (OR, 6.1; 95% CI, 2.9, 13.1). Discussion: The combination of maternal prepregnancy obesity and lack of breast‐feeding may be associated with a greater risk of childhood overweight. Special attention may be needed for children with obese mothers and lack of breast‐feeding in developing childhood obesity intervention programs.     

Neck Circumference as a Simple Screening Measure for Identifying Overweight and Obese Patients

Objective: There are numerous methods of assessing overweight and obesity. We undertook an observational study to test a method of identifying overweight or obese patients solely by measuring the circumference of the neck. Research Methods and Procedures: A test sample and a second validation sample included 979 subjects (460 men and 519 women), who visited a family medicine clinic in a southern Israeli urban district for any reason between the randomly chosen months of January and September 1998. Main outcome included neck, waist, and hip circumferences; body mass index (BMI); and waist:hip ratio measures. Results: Pearson's correlation coefficients indicated a significant association between neck circumference (NC) and: BMI (men, r = 0.83; women, r = 0.71; each, p < 0.0001), age (men, r = 0.33; women, r = 0.36; each, p < 0.0001), weight (men, r = 0.7; women, r = 0.81; each, p < 0.0001), waist circumference (men, r = 0.86; women, r = 0.85; each, p < 0.0001), hip circumference (men, r = 0.62; women, r = 0.56; each, p < 0.0001), and waist:hip ratio (men, r = 0.66; women, r = 0.87; each, p < 0.0001). NC ≥37 cm for men and ≥34 cm for women were the best cutoff levels for determining the subjects with BMI ≥25.0 kg/m² using the receiver output curve analysis. In the validation unrelated group, the test characteristics were excellent with 98% sensitivity, 89% specificity, and 94% accuracy for men, and 100% sensitivity, 98% specificity, and 99% accuracy for women. NC ≥39.5 cm for men and ≥36.5 cm for women were the best cutoff levels for determining the subjects with BMI ≥30 kg/m² using the receiver output curve analysis. In the validation unrelated group, the test characteristics were excellent with 93% sensitivity, 90% specificity, and 91% accuracy for men, and 93% sensitivity, 98% specificity, and 97% accuracy for women. Discussion: NC measurement is a simple and time‐saving screening measure that can be used to identify overweight and obese patients. Men with NC <37 cm and women with NC <34 cm are not to be considered overweight. Patients with NC ≥37 cm for men and ≥34 cm for women require additional evaluation of overweight or obesity status.     

Overweight,Obesity, and Binge Eating in a Non‐clinical Sample of Five Brazilian Cities

Objective: To investigate the relationship between obesity/overweight and binge eating episodes (BEEs) in a large nonclinical population. Research Methods and Procedures: Consumers at shopping centers in five Brazilian cities (N = 2858) who participated in an overweight prevention program were interviewed and had weight and height measured to calculate BMI. Results: Prevalence of overweight (BMI = 25 to 29.9 kg/m²) was 46.6% for men and 36.6% for women. Obesity (BMI ≥ 30 kg/m²) was about two‐thirds of the prevalence of overweight. BEEs (subjects who binged one or more times per week over the last 3 months) in normal‐weight individuals was 1.4% for men and 3.9% for women, whereas in overweight/obese, these prevalences were 6.5% and 5.5%, respectively (p < 0.01). After adjustment for age, socioeconomic variables, and childhood obesity, those who reported BEEs had an odds ratio of being overweight/obese of 3.31 (95% confidence interval: 1.11 to 9.85) for men and 1.73 (95% confidence interval: 1.05 to 2.84) for women. Discussion: These findings indicate a strong association between episodes of binge eating and overweight/obesity, mainly among men.     

Electronic Games and Environmental Factors Associated with Childhood Obesity in Switzerland

Objective: Environmental factors and behaviors associated with obesity have not been well described in children living in Europe. Although television watching has been repeatedly associated with obesity, it is unclear whether other sedentary activities, such as use of electronic games, are independently associated with obesity in children. The hypothesis was that various types of sedentary activities are associated with obesity in children living in Switzerland. Research Methods and Procedures: This was a cross‐sectional study of children (grades one to three) from four communities in the Greater Zurich Area (Switzerland). Obesity was defined as a combination of overweight (BMI) and overfat (skinfold thicknesses). Environmental factors were assessed by questionnaire. The children's physical activity was estimated by their teacher (scale 0 to 10). Results: Of 922 eligible subjects, 872 (94.6%) took part in the study. Use of electronic games [odds ratio (OR) = 2.03 per hour per day, 95% confidence interval (CI): 1.57 to 2.61, p < 0.001], television (OR = 2.83 per hour per day, 95% CI: 2.08 to 3.86, p < 0.001), physical activity (OR = 0.80 per unit, 95% CI: 0.72 to 0.88, p < 0.001), maternal work (OR = 1.93, 95% CI: 1.13 to 3.29, p = 0.02), and paternal smoking (OR = 1.78, 95% CI: 1.07 to 2.96, p = 0.03) were independently associated with obesity. Further adjustment for socioeconomic status, when available, did not change these results. Discussion: In this sample of children living in Switzerland, the use of electronic games was significantly associated with obesity, independently of confounding factors. The association of obesity with television use and lack of physical activity confirms results from other populations and points to potential strategies for obesity prevention.     

Trends in Overweight and Obesity in Portugal: The National Health Surveys 1995–6 and 1998–9

Objective: To assess overweight and obesity trends in the Portuguese population. Research Methods and Procedures: National Health Surveys, conducted in 1995–6 (17, 989 men; 20, 249 women) and 1998–9 (17, 923 men; 20, 302 women), were used. Results: In men, the prevalence of overweight and obesity increased from 39.9% (95% CI: 39.2 to 40.6) and 10.3% (95% CI: 9.9 to 10.7), respectively, in 1995–6, to 42.5% (95% CI: 41.8 to 43.2) and 11.5% (95% CI: 11.0 to 12.0), respectively, in 1998–9. In women, prevalence of obesity increased from 12.7% (95% CI: 12.2 to 13.2) in 1995–6 to 14.2% (95% CI: 13.7 to 14.6) in 1998–9, whereas the prevalence of overweight remained stable: 32.2% (95% CI: 31.6 to 32.9) in 1995–6 and 32.3% (95% CI: 31.6 to 32.9) in 1998–9. In men, prevalence of overweight and obesity were higher among former smokers and educational group of 6 to 12 years, and prevalence of obesity was higher in the Lisbon region. In women, prevalence of overweight and obesity were higher among never smokers, and prevalence of obesity was higher among educational group of ?6 years. Prevalence of obesity was higher in the Alentejo region, and overweight was higher in the Center region. Finally, prevalence of obesity increased in both sexes for all strata studied (age, smoking status, educational level, and geographic region), whereas prevalence of overweight increased only in men. Discussion: In Portugal, overweight and obesity levels are related to sociodemographic factors; the increase in obesity levels stresses the need for preventive measures.     

Development of Overweight Associated with Childbearing Depends on Smoking Habit: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Objective: To prospectively evaluate whether childbearing leads to development of overweight in women and to evaluate the role of other known risk factors. Research Methods and Procedures: A prospective, multicenter observational study, the Coronary Artery Risk Development in Young Adults (CARDIA) Study from 1986 to 1996, examined subjects at baseline and in follow‐up years 2, 5, 7, and 10. Included were 998 (328 black and 670 white) nulliparous women, age 18‐30 years, who were not overweight at baseline. Relative odds for incident overweight (BMI ≥ 25 kg/m²) associated with parity change (0, 1, or 2+) and risk factors were estimated using discrete‐time survival models adjusted for baseline and time‐dependent covariates. Results: Parity change‐association with development of overweight depended on smoking habit (interaction, p < 0.001). In multivariate adjusted models, 1 and 2+ births vs. 0, respectively, were associated with increased risk for development of overweight among never smokers [odds ratio (OR) = 2.66; 95% confidence interval (CI): 1.80, 3.93, and 2.10, 95% CI: 1.24, 3.56] and decreased risk among current smokers (OR = 0.41; 95% CI: 0.17, 0.96, and 0.36, 95% CI: 0.08, 1.65). Risk was increased for black vs. white race (OR = 3.49; 95% CI: 2.59, 4.69), frequent weight cycling (OR = 1.45; 95% CI: 1.03, 2.04), and high school education or less (OR = 2.21; 95% CI: 1.50, 3.26) and was decreased for highest physical activity quartile (OR = 0.62; 95% CI: 0.43, 0.90). Discussion: Childbearing contributes to development of overweight in nonsmokers but not in smokers, where development of overweight is less likely in women who bear children. Race, education, and behaviors are important factors in development of overweight in young women.     

Risk factors and outcomes of maternal obesity and excessive weight gain during pregnancy

Objective:

The prevalence of overweight and obesity among women of reproductive age is increasing. We aimed to determine risk factors and maternal, fetal and childhood consequences of maternal obesity and excessive gestational weight gain.

Design and Methods:

The study was embedded in a population‐based prospective cohort study among 6959 mothers and their children. The study was based in Rotterdam, The Netherlands (2001–2005).

Results:

Maternal lower educational level, lower household income, multiparity, and FTO risk allel were associated with an increased risk of maternal obesity, whereas maternal European ethnicity, nulliparity, higher total energy intake, and smoking during pregnancy were associated with an increased risk of excessive gestational weight gain (all p‐values <0.05). As compared to normal weight, maternal obesity was associated with increased risks of gestational hypertension (OR 6.31 (95% CI 4.30, 9.26)), preeclampsia (OR (3.61, (95% CI 2.04, 6.39)), gestational diabetes (OR 6.28 (95%CI 3.01, 13.06)), caesarean delivery (OR 1.91 (95% CI 1.46, 2.50)), delivering large size for gestational age infants (OR 2.97 (95% CI 2.16, 4.08)), and childhood obesity (OR 5.02 (95% CI:2.97, 8.45)). Weaker associations of excessive gestational weight gain with maternal, fetal and childhood outcomes were observed, with the strongest effects for first trimester weight gain.

Conclusions:

Our study shows that maternal obesity and excessive weight gain during pregnancy are associated with socio‐demographic, lifestyle, and genetic factors and with increased risks of adverse maternal, fetal and childhood outcomes. As compared to prepregnancy overweight and obesity, excessive gestational weight gain has a limited influence on adverse pregnancy outcomes.     

Disability,Arthritis, and Body Weight among Adults 45 Years and Older

Objectives : To examine the association between body weight and disability among persons with and without self‐reported arthritis. Research Methods and Procedures : Data were analyzed for noninstitutionalized adults, 45 years or older, in states that participated in the Behavioral Risk Factor Surveillance System. Self‐reported BMI (kilograms per meter squared) was used to categorize participants into six BMI‐defined groups: underweight (<18.5), normal weight (18.5 to <25), overweight (25 to <30), obese, class 1 (30 to <35), obese, class 2 (35 to <40), and obese, class 3 (≥40). Results : Class 3 obesity (BMI ≥ 40) was significantly associated with disability among participants both with and without self‐reported arthritis. The adjusted odds ratio (AOR) for disability in participants with class 3 obesity was 2.75 [95% confidence interval (CI) = 2.22 to 3.40] among those with self‐reported arthritis and 1.77 (95% CI = 1.20 to 2.62) among those without self‐reported arthritis compared with those of normal weight (BMI 18.5 to <25). Persons with self‐reported arthritis who were obese, class 2 (BMI 35 to <40) and obese, class 1 (BMI 30 to <35) and women with self‐reported arthritis who were overweight (BMI 25 to <30) also had higher odds of disability compared with those of normal weight [AOR = 1.72 (95% CI = 1.47 to 2.00), AOR = 1.30 (95% CI = 1.17 to 1.44), and AOR = 1.18 (95% CI = 1.06 to 1.32), respectively]. Discussion : Our findings reveal that obesity is associated with disability. Preventing and controlling obesity may improve the quality of life for persons with and without self‐reported arthritis.     

Outdoor artificial light at night,obesity, and sleep health: Cross-sectional analysis in the KoGES study

Obesity is a common disorder with many complications. Although chronodisruption plays a role in obesity, few epidemiological studies have investigated the association between artificial light at night (ALAN) and obesity. Since sleep health is related to both obesity and ALAN, we investigated the association between outdoor ALAN and obesity after adjusting for sleep health. We also investigated the association between outdoor ALAN and sleep health. This cross-sectional survey included 8526 adults, 39–70 years of age, who participated in the Korean Genome and Epidemiology Study. Outdoor ALAN data were obtained from satellite images provided by the US Defense Meteorological Satellite Program. We obtained individual data regarding outdoor ALAN; body mass index; depression; and sleep health including sleep duration, mid-sleep time, and insomnia; and other demographic data including age, sex, educational level, type of residential building, monthly household income, alcohol consumption, smoking status and consumption of caffeine or alcohol before sleep. A logistic regression model was used to investigate the association between outdoor ALAN and obesity. The prevalence of obesity differed significantly according to sex (women 47% versus men 39%, p < 0.001) and outdoor ALAN (high 55% versus low 40%, p < 0.001). Univariate logistic regression analysis revealed a significant association between high outdoor ALAN and obesity (odds ratio [OR] 1.24, 95% confidence interval [CI] 1.14–1.35, p < 0.001). Furthermore, multivariate logistic regression analyses showed that high outdoor ALAN was significantly associated with obesity after adjusting for age and sex (OR 1.25, 95% CI 1.14–1.37, p < 0.001) and even after controlling for various other confounding factors including age, sex, educational level, type of residential building, monthly household income, alcohol consumption, smoking, consumption of caffeine or alcohol before sleep, delayed sleep pattern, short sleep duration and habitual snoring (OR 1.20, 95% CI 1.06–1.36, p = 0.003). The findings of our study provide epidemiological evidence that outdoor ALAN is significantly related to obesity.     

Overweight,Waist Circumference,Age, Gender,and Insulin Resistance as Risk Factors for Hyperleptinemia

Objective: To evaluate the influence of overweight, waist circumference, age, gender, and insulin resistance as risk factors for hyperleptinemia. Research Methods and Procedures: A cross‐sectional study was carried out in a population of 197 subjects: 59 men (21 aged <60 years and 38 aged ≥60 years) and 138 women (37 aged <60 years and 101 aged ≥60 years). The groups were stratified by overweight and normal weight. After a 12‐hour fasting period, we measured serum leptin and insulin levels with radioimmunoassay methods. We also measured serum glucose and lipid profile. The data were analyzed by means of comparative tests. A variance‐stabilizing transformation (natural logarithmic) was used to meet multiple linear regression, analysis of covariance, and logistic regression models. Results: The leptin serum levels were higher and statistically significant in young and older women than they were in men. We observed an interaction between gender and body mass index to explain the difference in leptin levels (p < 0.0001). Our study demonstrated an inverse relationship between leptin with age and high‐density lipoprotein cholesterol. In logistic regression analysis, the overweight × gender interaction and waist circumference have a statistically significant influence as independent variables on hyperleptinemia (overweight × gender odds ratio = 6.81; 95% confidence interval, 1.10 to 46.86; p < 0.05 and waist circumference odds ratio = 4.34; 95% confidence interval, 1.47 to 12.83; p = 0.001). Discussion: Women who were overweight or had a higher waist circumference (women ≥ 88 cm and men ≥ 102 cm) have a significantly higher risk of having hyperleptinemia. The increase in age as an isolated variable is not a risk factor for hyperleptinemia.     

BMI modifies associations of IL-6 genotypes with insulin resistance: the Framingham Study

Objective: The ?174 interleukin (IL)‐6 gene polymorphism has been proposed as a risk factor for type 2 diabetes, but data are conflicting. Because white fat is a major source of IL‐6 in resting individuals, we tested the hypothesis that BMI modifies the association among the IL‐6 genotype, insulin resistance (IR) (measured using the homeostasis model), and risk of diabetes. Research Methods and Procedures: Outcomes were assessed in a community‐based cohort study of 1525 adults (mean age, 55.6 years; 753 men), who participated in the Framingham Offspring Study during the 1991 to 1995 examinations. Results: We found a significant interaction between IL‐6 genotype and BMI on levels of IR in men (p < 0.0001), with obese homozygotes for the minor C allele being most resistant. The IL‐6‐BMI interaction was not significant (p = 0.46) in women. Among men with the CC genotype, increasing BMI was associated with increased prevalence of diabetes [odds ratio (OR) per unit increase in BMI, 1.30; 95% confidence interval (CI), 1.11 to 1.50] but not among those with the GG (OR, 1.10; 95% CI, 0.98 to 1.22) or GC genotype (OR, 1.05; 95% CI, 0.97 to 1.14). Discussion: The ?174 IL‐6 promoter polymorphism modifies the association of obesity with IR and diabetes risk in men. Weight loss regimens targeted at reducing the risk of diabetes may be of particular benefit for men with a ?174 IL‐6 CC genotype.     

Association Between Serum Uric Acid Level and Body Mass Index in Sex- and Age-Specific Groups in Southwestern China

Objective: To investigate the sex- and age-specific association between serum uric acid level and body mass index (BMI).Methods: A total of 144,856 subjects aged 20 to 79 years were enrolled in this cross-sectional study. Serum uric acid level, renal function, hepatic function, and lipid profile were investigated.Results: The prevalence of hyperuricemia decreased with age in men but increased in women. In men, the correlation coefficient between the serum urate level and BMI declined steadily with age. Underweight was associated with a 53 to 68% and a 66% lower prevalence of hyperuricemia in men aged 20 to 69 years and in women aged 20 to 29 years, respectively. Overweight and obesity were correlated with a higher odds ratio (OR) (95% confidence interval &lsqb;CI]) for hyperuricemia in both genders. In individuals with overweight or obesity, younger subjects had a higher OR (95% CI) for hyperuricemia than older subjects. Among subjects aged 20 to 59 years, as they gained weight, the OR (95% CI) for hyperuricemia increased faster in women than in men compared with their respective normal-weight controls.Conclusion: Underweight was associated with a lower prevalence of hyperuricemia in men aged ≤69 years. In individuals with overweight or obesity, younger subjects were more likely to develop hyperuricemia than older subjects. With active weight gain, the likelihood for developing hyperuricemia increased faster in women than in men compared with their respective normal-weight controls.Abbreviations: ALT = alanine aminotransferase; AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; eGFR = estimated glomerular filtration rate; HDL-C = high-density-lipoprotein cholesterol; LDL-C = low-density-lipoprotein cholesterol; OR = odds ratio     

Racial/Ethnic Differences in Weight Perception

The objective of this research was to estimate the prevalence of weight misperception among adults using the most recent nationally representative data, according to measured weight category and to assess the relationship between weight misperception and race/ethnicity. Height and weight were measured as part of the 1999–2006 National Health and Nutrition Examination Survey. The study sample consisted of 17,270 adults aged ≥20 years. BMI was categorized as underweight (BMI < 18.5), healthy weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30). Subjects reported self‐perception of weight status. Among study subjects, 31.7% of healthy weight adults, 38.1% of overweight adults, and 8.1% of obese adults incorrectly perceived their weight category. Among obese men, the odds of weight misperception were higher for non‐Hispanic blacks (odds ratio (OR) = 3.0; 95% confidence interval (CI) = 2.0–4.5) compared to non‐Hispanic whites and for persons with less than a high school education (OR = 2.1; 95% CI = 1.3–2.1), compared to those with some college education. Among obese women, the odds of weight misperception were higher for non‐Hispanic blacks (OR = 3.4; 95% CI = 1.4, 3.1) and Mexican Americans (OR = 1.9; 95% CI = 1.2, 3.2) compared to non‐Hispanic whites and for persons with less than high school education compared to those with some college education (OR = 5.5; 95% CI = 3.3–9.3). Weight misperception is highly prevalent in the US population, and more frequent in racial/ethnic minorities, males, and in persons with lower educational levels. Addressing the issue of weight misperception may help address the problem of obesity in the United States by increasing awareness of healthy weight levels, which may subsequently have an impact on weight‐related behavior change.     

Relationship of Neck Circumference to Cardiovascular Risk Factors

Objective: To determine a relationship between neck circumference (NC) and risk factors for coronary heart disease by evaluating the components of the metabolic syndrome. Research Methods and Procedures: The study group included 561 subjects (231 men and 330 women) who had no known major medical conditions and were not receiving any medication therapy. The subjects were those who attended a family health clinic for any reason between 1998 and December 2001. Main indicators studied included NC, waist circumference, waist‐to‐hip ratio, body mass index, blood pressure, and lipoprotein, glucose, and uric acid levels. Results: Pearson's correlation coefficients indicated a significant association between NC and body mass index (men, r = 0.71; women, r = 0.81; each, p < 0.0001), waist circumference (men, r = 0.75; women, r = 0.79; each, p < 0.0001), waist‐to‐hip ratio (men, r = 0.56; women, r = 0.63; each, p < 0.0001), total cholesterol (men, r = 0.50; women, r = 0.66; each, p < 0.0001), low‐density lipoprotein‐cholesterol (men, r = 0.42; women, r = 0.60; each, p < 0.0001), triglycerides (men, r = 0.48; women, r = 0.49; each, p < 0.0001), glucose (men, r = 0.21, p < 0.001; women, r = 0.44; p < 0.0001), uric acid (men, r = 0.50, p < 0.0001; women, r = 0.60, p < 0.001), and systolic (men, r = 0.53; women, r = 0.69; each, p < 0.0001), and diastolic (men, r = 0.55; women, r = 0.65; each, p < 0.0001) blood pressure. Discussion: Higher NC is correlated positively with the factors of the metabolic syndrome; therefore, it is likely to increase the risk of coronary heart disease.     

Differences in Resting Metabolic Rate between White and African‐American Young Adults

Objective: A reported lower resting metabolic rate (RMR) in African‐American women than in white women could explain the higher prevalence of obesity in the former group. Little information is available on RMR in African‐American men. Research Methods and Procedures: We assessed RMR by indirect calorimetry and body composition by DXA in 395 adults ages 28 to 40 years (100 African‐American men, 95 white men, 94 African‐American women, and 106 white women), recruited from participants in the Coronary Artery Risk Development in Young Adults (CARDIA), Birmingham, Alabama, and Oakland, California, field centers. Results: Using linear models, fat‐free mass, fat mass, visceral fat, and age were significantly related to RMR, but the usual level of physical activity was not. After adjustment for these variables, mean RMR was significantly higher in whites (1665.07 ± 10.78 kcal/d) than in African Americans (1585.05 ± 11.02 kcal/d) by 80 ± 16 kcal/d (p < 0.0001). The ethnic × gender interaction was not significant (p = 0.9512), indicating that the difference in RMR between African‐American and white subjects was similar for men and women. Discussion: RMR is ～5% higher in white than in African‐American participants in CARDIA. The difference was the same for men and women and for lean and obese individuals. The prevalence of obesity is not higher in African‐American men than in white men. Because of these reasons, we believe that RMR differences are unlikely to be a primary explanation for why African‐American women are more prone to obesity than white women.     

Prevalence of Overweight and Obesity in Elderly People in Spain

Objective: To estimate the prevalence of obesity and overweight in the older adult population in Spain by sex, age, and educational level. Research Methods and Procedures: A cross‐sectional study was carried out in 2001 in a sample of 4009 persons representative of the noninstitutionalized population ≥60 years of age. Anthropometric measurements (BMI and waist circumference) were obtained using standardized techniques and equipment. Overweight was considered at a BMI of 25 to 29.9 kg/m² and obesity at a BMI of ≥30 kg/m². Central obesity was considered at a waist circumference of >102 cm in men and >88 cm in women. Results: The mean BMI was 28.2 kg/m² in men and 29.3 kg/m² in women. The prevalence of overweight and obesity in men was 49% and 31.5%, respectively. The corresponding percentages in women were 39.8% and 40.8%. The prevalence of obesity was higher in persons with no education than in those with third level education (i.e., university studies), especially among women (41.8% vs. 17.5%). The prevalence of central obesity was 48.4% in men and 78.4% in women. Differences by educational level were seen in only women, in whom the prevalence of central obesity was 80.9% in those with no education and 59% in those with third‐level education. Discussion: The prevalence of overweight and obesity in the Spanish adult elderly population is very high. Some other populations show similar prevalences, especially in Mediterranean countries. Socioeconomic conditions in Spain during the years these cohorts were born may partly explain the high‐frequency of obesity.     

Factors affecting prevalence of overweight among 12- to 17-year-old urban adolescents in Hyderabad, India

Objective: The problem of overweight and obesity is not confined only to developed countries but is also widely prevalent in developing countries. The objective of this study was to assess the prevalence of overweight and obesity as defined by the International Obesity Task Force (IOTF) among school‐age children in Hyderabad, India, and identify its associated factors. Research Methods and Procedures: A cross‐sectional and institutional study, adopting a multistage stratified cluster sampling procedure, was carried out during 2003 on adolescents 12 to 17 years of age of both sexes from Hyderabad, India. Results: The overall prevalence of overweight was 6.1% [95% confidence interval (CI): 4.2, 8.0] among boys and 8.2% among girls (CI: 6.0, 10.4); 1.6% and 1.0% were obese, respectively. The prevalence was significantly higher (p < 0.05) among adolescents who watched television ≥3 h/d (10.4%) or belonged to a high socioeconomic background (14.9%, p < 0.001), whereas it was significantly lower among those participating regularly in outdoor games ≥6 h/wk (3.1%, p < 0.004) and household activities ≥3 h/d (4.7%, p < 0.001). The logistic regression analysis revealed that the prevalence of overweight was 4 times higher among the adolescents of high socioeconomic status [odds ratio (OR): 4.1; CI: 2.25, 7.52], 3 times higher in those not participating in outdoor games (OR: 2.75; CI: 1.56, 4.72), and 1.92 times higher in those watching television ≥3 h/d (OR: 1.92; CI: 1.16, 3.18). Discussion: This study confirmed the findings of earlier studies carried out in Western countries and emphasizes that regular physical exercise, doing household activities, regulated television viewing, and healthy eating behaviors could contribute to controlling overweight and obesity.