Evaluation of urinary oxalate levels in patients receiving gastrointestinal lipase inhibitor

Objective: The purpose of this study was to examine the possible effects of a gastrointestinal lipase inhibitor “Orlistat (Xenical)” on the intestinal absorption of oxalate and thereby on the urinary levels of oxalate excretion in overweight patients. Methods and Procedures: Long‐term follow‐up data of 95 cases (57 men, 38 women; M/W= 1.5) were documented. Patients were randomly assigned into two groups. While the patients in group I (n = 55) were treated with orlistat (Xenical) for 6 months, patients in group II (n = 40) received no specific medication. Calcium, oxalate, and citrate levels were determined in a 24‐h urine collection from each patient. To evaluate the significance in the groups as well as the differences between the two groups, ANOVA test was performed and the results were given as mean ± s.d. Results: Comparative evaluation of urinary oxalate levels during 3‐month follow‐up clearly showed that urinary oxalate excretion significantly increased in 34/55 patients (61.8%) in the first group (P < 0.05). Of these 34 patients, 30 (88.2%) continued to have increased urinary oxalate excretion during 6‐month follow‐up (P = 0.001). However, our data did not show any significant effect of this medication on urinary citrate and calcium levels during 3‐ and 6‐month follow‐up evaluation (P = 0.05). Discussion: Our results suggest that increased intestinal absorption of dietary oxalate due to this type of medication in obese patients could make a substantial contribution to urinary oxalate excretion and may increase the risk of stone formation.     

Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents

Objectives: The present study aims to evaluate the accuracy of the index of waist‐to‐height ratio (WHTR), and proposed the optimal thresholds of WHTR in the definition of childhood overweight and obesity in a bi‐ethnic Chinese school‐aged population. Research Methods and Procedures: Overweight and obese were identified by BMI for age and gender in a random sample including 2055 Han and 2132 Uygur ethnic school‐aged children (8 to 18 years old). WHTR was calculated by waist circumference divided by height on the basis of standard anthropometric measurements. Receiver operating characteristic (ROC) curve analyses were performed to assess the accuracy of WHTR as a diagnostic test for childhood overweight and obesity, compared with waist circumference. The optimal thresholds of WHTR for defining overweight and obesity were recommended respectively by gender. The correlation between WHTR and age was analyzed and compared with BMI. Results: A‐values (area under curve) of WHTR for diagnosing overweight and obesity were both over 0.90 in both genders and better than those of waist circumference. A threshold of 0.445 was identified for overweight in both genders, with the sensitivity and specificity >0.80. The thresholds for defining obesity was 0.485 in boys and 0.475 in girls, both having the sensitivity and specificity >0.90. WHTR showed less association with age than BMI. Conclusions: WHTR is a simple, easy, accurate, and non‐age‐dependent index with high applicability to screening overweight and obesity in children and adolescents. The use of WHTR in the general childhood population has been justified by this study.     

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.     

Prevalence and risk factors of overweight and obesity in China

Objective: To examine the prevalence and risk factors of overweight and obesity in China. Research Methods and Procedures: A cross‐sectional survey was conducted in a nationally representative sample of 15,540 Chinese adults in 2000–2001. Body weight, height, and waist circumference were measured by trained observers. Overweight and obesity were defined according to the World Health Organization classification. Central obesity was defined according to guidelines of the International Diabetes Federation. Results: Mean BMI and waist circumference were 23.1 kg/m² and 79.6 cm, respectively, for men and 23.5 kg/m² and 77.2 cm, respectively, for women. The prevalences of overweight and obesity were 24.1% and 2.8% in men and 26.1% and 5.0% in women, respectively. The prevalence of central obesity was 16.1% in men and 37.6% in women. The prevalences of overweight, obesity, and central obesity were higher among residents in northern China compared with their counterparts in southern China and among those in urban areas compared with those in rural areas. Lifestyle factors were the most important risk factors to explain the differences in overweight and central obesity between northern and southern residents. Among women, lifestyle and diet were the most important risk factors to explain the differences between urban and rural residents, whereas socioeconomic status, lifestyle, and diet were all important among men. Discussion: Our study indicates that overweight and obesity have become important public health problems in China. Environmental risk factors may be the main reason for regional differences in the prevalence of overweight and obesity in China.     

Utility of Childhood BMI in the Prediction of Adulthood Disease: Comparison of National and International References

Objective: To determine whether the U.S. Centers for Disease Control and Prevention (CDC; CDC Reference) or International Obesity Task Force (IOTF; IOTF Reference) BMI cut‐off points for classifying adiposity status in children are more effective at predicting future health risk. Research Methods and Procedures: The sample (N = 1709) included 4‐ to 15‐year‐old (at baseline) boys and girls from the Bogalusa Heart Study. Overweight and obesity status were determined using both the CDC Reference and IOTF Reference BMI cut‐off points at baseline. The ability of childhood overweight and obesity, determined from the two BMI classification systems, to predict obesity and metabolic disorders in young adulthood (after a 13‐ to 24‐year follow‐up) was then compared. Results: Independently of the classification system employed to determine adiposity based on childhood BMI, the odds of being obese and having all of the metabolic disorders in young adulthood were significantly (p < 0.05) higher in the overweight and obese groups by comparison with the nonoverweight groups. Childhood overweight and obesity, determined by both the CDC Reference and IOTF Reference, had a low sensitivity and a high specificity for predicting obesity and metabolic disorders in young adulthood. Overweight and obesity as determined by the CDC Reference were slightly more sensitive and slightly less specific than the corresponding values based on the IOTF Reference. Discussion: Overweight and obesity during childhood, as determined by both the CDC and IOTF BMI cut‐off points, are strong predictors of obesity and coronary heart disease risk factors in young adulthood. The differences in the predictive capacity of the CDC Reference and IOTF Reference are, however, minimal.     

Stigmatized Students: Age,Sex, and Ethnicity Effects in the Stigmatization of Obesity

Objective: To assess the stigmatization of obesity relative to the stigmatization of various disabilities among young men and women. Attitudes across ethnic groups were compared. In addition, these findings were compared with data showing severe stigmatization of obesity among children. Research Methods and Procedures: Participants included 356 university students (56% women; mean age, 20.6 years; mean BMI, 23.3 kg/m²; range, 14.4 to 45.0 kg/m²) who ranked six drawings of same‐sex peers in order of how well they liked each person. The drawings showed adults with obesity, various disabilities, or no disability. These rankings were compared with those obtained through a similar procedure with 458 fifth‐ and sixth‐grade children. Results: Obesity was highly stigmatized relative to physical disabilities. African‐American women liked obese peers more than did African‐American men, white men, or white women [F (1, 216) = 4.02, p < 0.05]. Overweight and obese participants were no less stigmatizing of obesity than normal weight participants. Adults were more accepting than children of their obese peers [t (761) = 9.16, p < 0.001]. Discussion: Although the stigmatization of obesity was high among participants overall, African‐American women seemed to have more positive attitudes toward obesity than did white women, white men, or African‐American men. Participants’ weight did not affect their stigmatization of obesity: obese and overweight adults were as highly stigmatizing of obesity as non‐overweight adults. Such internalized stigmatization could help to explain the low self‐esteem and poor body image among obese young adults. However, adults seemed to have more positive attitudes about obesity than children. An understanding of the factors that limit the stigma of obesity among African‐American women could help efforts to reduce stigma.     

Are Sexual Dissatisfaction and Sexual Abuse Associated with Obesity? A Population‐Based Study

Objective: To investigate whether there is any association between obesity and sexual satisfaction and sexual abuse in a normal population. Research Methods and Procedures: A representative sample of 2810 subjects from a population study was interviewed about sexual satisfaction, sexual abuse, and life satisfaction. The answers from normal weight, overweight, and obese participants were compared. Univariate and multivariate analyses were performed. Results: Data were presented separately for two age groups, 18 to 49 and 50 to 74 years, and gender. The older group of obese men reported a greater decrease of sexual desire compared with 5 years prior than normal weight men [odds ratios (OR), 2.44; 95% confidence interval (CI), 1.4 to 4.3]. The older group of overweight men reported involuntary participation in sexual activities more often than normal weight men (OR, 2.06; 95% CI, 1.1 to 3.8). Although older overweight and obese women were diagnosed with a lingering disease (defined as >1 month) more often than normal weight women (overweight: OR, 2.41; 95% CI, 1.3 to 4.4; obese: OR, 4.45; 95% CI, 1.7 to 11.5), there was no difference between BMI groups in satisfaction with physical health. Discussion: Overweight and obese groups seem to be heterogeneous with respect to sexual satisfaction and experiences of sexual abuse. No significant differences were detected between BMI groups, which does not exclude the possibility of significant differences between BMI groups among patients seeking medical attention.     

Evolution of the Prevalence of Obesity in the Workers of a General Hospital in Mexico

Objective: The objective of this study was to compare the prevalence of overweight and obesity in the first Prevalencia de factores de nesso cardiovascular en Trabajadores survey (1994) with the prevalence of overweight and obesity observed in the second survey (1996). Research Methods and Procedures: For both surveys the following individual data were collected: age, sex, weight, height, and body mass index (BMI). The 1994 survey included 2383 people and the 1996 survey included 2759 people. The degree of BMI was classified according to the current World Health Organization definitions. The population was divided by gender and age group, and the prevalence of each level of overweight was calculated. Additionally, the prevalence of different cutoff levels of BMI was calculated by gender and age groups. Results: The global prevalence of age‐adjusted overweight increased from 26.91% to 37.45%. This increase was observed in both genders but the men had a higher increase from 24.51% to 40.21%. Overweight was more frequent in men than in women in all age groups. Male overweight prevalence was higher in the 40‐ to 59‐year‐old group and ≥60‐year‐old group. Female overweight prevalence was predominant in the 30‐ to 39‐year‐old, 40‐ to 49‐year‐old, and 50‐ to 59‐year‐old groups. Global prevalence of obesity (≥30 kg/m²) changed from 13.8% to 17.2%. Particularly, global prevalence of obesity class I increased from 9.66% to 12.6%; in men this figure increased from 9.04% to 13.05% and in women from 9.9% to 12.71%. Discussion: Prevalence of overweight and obesity has increased significantly in the studied population. It is necessary to implement lifestyle modifications to prevent the increase of prevalence of overweight and obesity.     

Reverse causality and confounding and the associations of overweight and obesity with mortality

Objective: To examine the effect of reverse causality and confounding on the association of BMI with all‐cause and cause‐specific mortality. Research Methods and Procedures: Data from two large prospective studies were used. One (a community‐based cohort) included 8327 women and 7017 men who resided in two Scottish towns at the time of the baseline assessment in 1972–1976; the other (an occupational cohort) included 4016 men working in the central belt of Scotland at the time of the baseline assessment in 1970–1973. Participants in both cohorts were ages 45 to 64 years at baseline; the follow‐up period was 28 to 34 years. Results: In age‐adjusted analyses that did not take account of reverse causality or smoking, there was no association between being overweight (BMI 25 to <30 kg/m²) and mortality, and weak to modest associations between obesity (BMI ≥30 kg/m²) and mortality. There was a strong association between smoking and lower BMI in women and men in both cohorts (all p < 0.0001). Among never‐smokers and with the first 5 years of deaths removed, overweight was associated with an increase in all‐cause mortality (relative risk ranging from 1.12 to 1.38), and obesity was associated with a doubling of risk in men in both cohorts (relative risk, 2.10 and 1.96, respectively) and a 60% increase in women (relative risk, 1.56). In both never‐smokers and current smokers, being overweight or obese was associated with important increases in the risk of cardiovascular disease. Discussion: These findings demonstrate that with appropriate control for smoking and reverse causality, both overweight and obesity are associated with important increases in all‐cause and cause‐specific mortality, and in particular with cardiovascular disease mortality.     

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.     

Determinants of Brushite Stone Formation: A Case-Control Study

Purpose

The occurrence of brushite stones has increased during recent years. However, the pathogenic factors driving the development of brushite stones remain unclear.

Methods

Twenty-eight brushite stone formers and 28 age-, sex- and BMI-matched healthy individuals were enrolled in this case-control study. Anthropometric, clinical, 24 h urinary parameters and dietary intake from 7-day weighed food records were assessed.

Results

Pure brushite stones were present in 46% of patients, while calcium oxalate was the major secondary stone component. Urinary pH and oxalate excretion were significantly higher, whereas urinary citrate was lower in patients as compared to healthy controls. Despite lower dietary intake, urinary calcium excretion was significantly higher in brushite stone patients. Binary logistic regression analysis revealed pH>6.50 (OR 7.296; p = 0.035), calcium>6.40 mmol/24 h (OR 25.213; p = 0.001) and citrate excretion <2.600 mmol/24 h (OR 15.352; p = 0.005) as urinary risk factors for brushite stone formation. A total of 56% of patients exhibited distal renal tubular acidosis (dRTA). Urinary pH, calcium and citrate excretion did not significantly differ between patients with or without dRTA.

Conclusions

Hypercalciuria, a diminished citrate excretion and an elevated pH turned out to be the major urinary determinants of brushite stone formation. Interestingly, urinary phosphate was not associated with urolithiasis. The increased urinary oxalate excretion, possibly due to decreased calcium intake, promotes the risk of mixed stone formation with calcium oxalate. Neither dietary factors nor dRTA can account as cause for hypercalciuria, higher urinary pH and diminished citrate excretion. Further research is needed to define the role of dRTA in brushite stone formation and to evaluate the hypothesis of an acquired acidification defect.     

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     

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.     

Trends in obesity and associations with education and urban or rural residence in Thailand

Objective: To measure trends in the prevalence of overweight and obesity and the relationship with urban or rural residence and education in Thailand. Research Methods and Procedures: Data were from two nationally representative surveys of 38,323 individuals ≥18 years old (19,156 were 18 to 59 years old) in 2004 and 3375 individuals 18 to 59 years old in 1997. Overweight and obesity were defined using the World Health Organization's Asian criteria. Results: Among those ≥18 years old in 2004, 17.8% of men (95% confidence interval, 16.6% to 19.0%) were overweight, 18.4% (17.3% to 19.5%) had Class I obesity, 4.8% (4.1% to 5.5%) had Class II obesity, and 15.9% (14.6% to 17.1%) had abdominal obesity. In women, 18.2% (17.1% to 19.2%) were overweight, 26.1% (24.9% to 27.3%) had Class I obesity, 9.3% (8.6% to 10.0%) had Class II obesity, and 37.3% (35.3% to 39.2%) had abdominal obesity. In those 18 to 59 years old, the prevalence of Class I obesity in men and all four categories in women significantly increased between 1997 and 2004. There was an inverse relationship in women but a positive relationship in men between education and the odds of being overweight or obese. In 2004, there were significantly lower odds of being overweight or obese in rural compared with urban men but similar odds between urban and rural women. Discussion: The prevalence of overweight and obesity in Thailand is high and increasing. Although the transition of overweight and obesity to those of lower socioeconomic status is not complete, it is well on the way.     

First nationwide survey of prevalence of overweight, underweight, and abdominal obesity in Iranian adults

Objective: The goal was to estimate the prevalence of overweight, obesity, underweight, and abdominal obesity among the adult population of Iran. Research Methods and Procedures: A nationwide cross‐sectional survey was conducted from December 2004 to February 2005. The selection was conducted by stratified probability cluster sampling through household family members in Iran. Weight, height, and waist circumference (WC) of 89,404 men and women 15 to 65 years of age (mean, 39.2 years) were measured. The criteria for underweight, normal‐weight, overweight, and Class I, II, and III obesity were BMI <18.5, 18.5 to 24.9, 25 to 29.9, 30 to 34.9, 35 to 39.9, and ≥40 (kg/m²), respectively. Abdominal obesity was defined as WC ≥102 cm in men and ≥88 cm in women. Results: The age‐adjusted means for BMI and WC were 24.6 kg/m² in men and 26.5 kg/m² in women and 86.6 cm in men and 89.6 cm in women, respectively. The age‐adjusted prevalence of overweight or obesity (BMI ≥25) was 42.8% in men and 57.0% in women; 11.1% of men and 25.2% of women were obese (BMI ≥30), while 6.3% of men and 5.2% of women were underweight. Age, low physical activity, low educational attainment, marriage, and residence in urban areas were strongly associated with obesity. Abdominal obesity was more common among women than men (54.5% vs. 12.9%) and greater with older age. Discussion: Excess body weight appears to be common in Iran. More women than men present with overweight and abdominal obesity. Prevention and treatment strategies are urgently needed to address the health burden of obesity.     

Prevalence of Overweight and Obesity and Weight Loss Practice among Beijing Adults, 2011

Objective

This study aims to determine the up-to-date prevalence of overweight and obesity, the distributions of body weight perception and weight loss practice in Beijing adults.

Methods

A cross-sectional study was conducted in 2011. A total of 2563 men and 4088 women aged 18–79 years from the general population were included. Data were obtained from questionnaire and physical examination.

Results

The prevalence of overweight (BMI 24–27.9 kg/m²) and obesity (BMI≥28 kg/m²) was 42.1% and 20.3% in men and 35.6% and 17.1% in women, respectively. Age was inversely associated with overweight in both sexes, and obesity in women. Education level was negatively associated with overweight and obesity in women but not in men. Only 49.1% men and 58.3% women had a correct perception of their body weight. Underestimation of body weight was more common than overestimation, especially in men, the older people, and those with low education level. The percentage of taking action to lose weight was inversely associated with men and old age, and positively associated with higher education level, higher BMI, and self-perception as “fat” (OR = 3.78 in men, OR = 2.91 in women). Only 26.1% of overweight/obese individuals took action to lose weight. The top two weight loss practices were to reduce the amount of food intake and exercise.

Conclusion

Overweight and obesity were highly prevalent with high incorrect body weight perceptions in the general adult population in Beijing. Weight loss practice was poor in overweight and obese individuals. Actions at multiple levels are needed to slow or control this overweight and obesity epidemic.     

The Influence of Overweight and Obesity on Longitudinal Trends in Maternal Serum Leptin Levels During Pregnancy

Maternal obesity influences a number of metabolic factors that can affect the course of pregnancy. Among these factors, leptin plays an important role in energy metabolism and fetal development during pregnancy. Our objective was to estimate the influence of maternal overweight/obesity on variation in the maternal serum leptin profile during pregnancy. In a prospective cohort of 143 adult gravidas with singleton pregnancies presenting for general prenatal care, we measured serum leptin levels at 6–10, 10–14, 16–20, 22–26, and 32–36 weeks' gestation. The longitudinal effects of maternal prepregnancy BMI, categorized as nonoverweight (≤26.0 kg/m²) and overweight/obese (>26.0 kg/m²), on serum leptin concentration were analyzed using linear mixed models. Overweight/obese women had significantly higher serum leptin concentrations than their nonoverweight counterparts throughout pregnancy (P < 0.01). Although these concentrations increased significantly across gestation for both groups, the rate of increase was significantly smaller for overweight/obese women (P < 0.05). To investigate whether these differences merely reflected differences in weight‐gain patterns between the two groups, we examined an index of leptin concentration per unit body weight (leptin (ng/ml)/weight (kg)). Overweight/obese women had a significantly higher index throughout pregnancy (P < 0.01). However, although this index increased significantly across pregnancy for nonoverweight women, it actually decreased significantly for overweight/obese women (P < 0.01). Our results suggest that factors other than fat mass alone influence leptin concentrations in overweight/obese women compared to normal‐weight women during pregnancy. Such factors may contribute to differences in the intrauterine environment and its influence on pregnancy outcomes in the two groups.     

Obesity in South Africa: The South African Demographic and Health Survey

Objectives: To ascertain the anthropometric profile and determinants of obesity in South Africans who participated in the Demographic and Health Survey in 1998. Research Methods and Procedures: A sample of 13,089 men and women (age, ≥15 years) were randomly selected and then stratified by province and urban and nonurban areas. Height, weight, mid-upper arm circumference, and waist and hip circumference were measured. Body mass index (BMI) was used as an indicator of obesity, and the waist/hip ratio (WHR) was used as an indicator of abdominal obesity. Multivariate regression identified sociodemographic predictors of BMI and waist circumference in the data. Results: Mean BMI values for men and women were 22.9 kg/m² and 27.1 kg/m², respectively. For men, 29.2% were overweight or obese (≥25 kg/m²) and 9.2% had abdominal obesity (WHR ≥1.0), whereas 56.6% of women were overweight or obese and 42% had abdominal obesity (WHR >0.85). Underweight (BMI <18.5 kg/m²) was found in 12.2% of men and 5.6% of women. For men, 19% of the variation of BMI and 34% of the variation in waist circumference could be explained by age, level of education, population group, and area of residence. For women, these variables explained 16% of the variation of BMI and 24% of the variation in waist circumference. Obesity increased with age, and higher levels of obesity were found in urban African women. Discussion: Overnutrition is prevalent among adult South Africans, particularly women. Determinants of overnutrition include age, level of education, ethnicity, and area of residence.     

Long-term effects of obesity on employment and work limitations among U.S. Adults, 1986 to 1999

Objective: To determine the relationships between BMI and workforce participation and the presence of work limitations in a U.S. working‐age population. Research Methods and Procedures: We used data from the Panel Study of Income Dynamics, a nationwide prospective cohort, to estimate the effect of obesity in 1986 on employment and work limitations in 1999. Individuals were classified into the following weight categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30). Using multivariable probit models, we estimated the relationships between obesity and both employment and work disability. All analyses were stratified by sex. Results: After adjusting for baseline sociodemographic characteristics, smoking status, exercise, and self‐reported health, obesity was associated with reduced employment at follow‐up [men: marginal effect (ME) ?4.8 percentage points (pp); p < 0.05; women: ME ?5.8 pp; p < 0.10]. Among employed women, being either overweight or obese was associated with an increase in self‐reported work limitations when compared with normal‐weight individuals (overweight: ME +3.9 pp; p < 0.01; obese: ME +12.6 pp; p < 0.01). Among men, the relationship between obesity and work limitations was not statistically significant. Discussion: Obesity appears to result in future productivity losses through reduced workforce participation and increased work limitations. These findings have important implications in the U.S., which is currently experiencing a rise in the prevalence of obesity.     

Relationships of Psychiatric Disorders with Overweight and Obesity in an Adult General Population**

Objective: To explore relationships of smoking and risk drinking status, nicotine and alcohol dependence, and anxiety, depressive, and somatoform disorders with overweight and obesity. Research Methods and Procedures: A probability sample was drawn that was representative for the adult general population, 18 to 64 years of age, in one region of Germany; the participation rate was 70.2%. After excluding those who were pregnant or had a current eating disorder according to the DSM‐IV, 4063 individuals remained. Overweight and obesity were defined according to the BMI that was assessed in the face‐to‐face in‐home standardized interview (Composite International Diagnostic Interview) on psychiatric disorders. Results: Men with a former nicotine dependence had higher odds of being overweight than men who never had a nicotine dependence (adjusted odds ratio, 1.5; confidence interval, 1.1 to 2.1). Men at current risk for drinking and current alcohol‐dependent or abusing men had lower odds of being overweight compared with men who never were alcohol dependent, abusing, or at risk for drinking (adjusted odds ratio, 0.3; confidence interval, 0.8 to 0.9). Effect sizes were small. No relationship of overweight with depressive, anxiety, or somatoform disorders was found in the multivariate analysis. Discussion: There is a relationship between being overweight and nicotine and alcohol dependence or abuse among men but not among women. Even though one reason for women to refrain from quitting smoking is the fear of weight gain, these results do not support this. This information could help convince women to try to quit smoking.