The relationships between serum copper levels and overweight/total obesity and central obesity in children and adolescents aged 6-18 years

ObjectiveTo explore the relationships between serum copper levels and overweight/total obesity and central obesity in children and adolescents.MethodsWe included 2,000 children and adolescents from the 2011-2016 US National Health and Nutrition Examination Surveys. The multivariable linear model, logistic model and restricted cubic splines were adopted to assess the relationships. Models were adjusted for data release cycle, age, sex, race/ethnicity, ratio of family income to poverty, and dietary intakes of protein, total sugars, total fat, fiber, energy, calcium, vitamin D, vitamin C, and hours watch television or videos.ResultsThe prevalences of overweight/total obesity and central obesity were 37.38% and 33.40%, respectively. For per-quintile increment in serum copper levels, body mass index increased by 1.06 (0.79-1.33) (kg/m²) and waist circumference increased by 2.43 (1.58-3.27) (cm). The odds ratios (95% confidence intervals) for overweight/total obesity and central obesity among participants with the highest quintile compared with those with the lowest quintile of serum copper levels were 5.46 (3.31-8.98) and 5.64 (3.31-9.58), respectively. The above-mentioned associations were not modified by age (children: 6-12 years, adolescents: 13-18 years) and sex. Dose-response analysis showed that the odds of overweight/total obesity and central obesity increased with increasing serum copper levels to a level of approximate 140 ug/dL where the association seemed to reach a plateau, respectively.ConclusionsSerum copper levels were positively associated with body mass index and waist circumference, and elevated serum copper levels were associated with higher odds of overweight/total obesity and central obesity in children and adolescents.     

The prevalence of wheezing and its association with serum zinc concentration in children and adolescents in Brazil

ObjectiveTo assess the influence of zinc serum status on the prevalence of wheezing in a sample of children and adolescents in Northeastern Brazil.Research methods and proceduresThis is a cross-sectional study which included 592 students of 6–12 years old, from the public elementary schools of São Francisco do Conde, Bahia, Northeastern Brazil. Report of wheezing in the past 12 months was collected using a questionnaire of the International Study of Asthma and Allergies in Childhood Program (ISAAC) phase III, adapted to Portuguese. The determination of serum Zn levels was performed using a flame atomic absorption spectrometer. Data on anthropometric status, level of physical activity, pubertal development and socioeconomic information, for each participant were obtained. Multivariate logistic regression analyses were used to assess the associations of interest.ResultsOf the students, 8.6% (95% CI 6.30–10.9) reported having wheezing. The mean (SD) serum zinc level was 114 (22.9 μg/dL). The results of the multiple logistic regression analysis showed, after adjustments, positive and significant association between low serum zinc levels and wheezing. Students categorized as being below the median for serum Zn concentration presented an almost 1.9-fold increase in the wheezing prevalence ratio (OR = 1.9; 95% CI 1.03–3.53).ConclusionThe main findings of this study suggest that the level of zinc may influence the risk of wheezing in late childhood on the study population.     

Relationship between Body Weight Gain and Significant Knee,Hip, and Back Pain in Older Americans

Objective: To examine the association between BMI (kilograms per meter squared) and reports of significant knee, hip, and back pain using data from a nationally representative sample of U.S. adults 60 years or older. Research Methods and Procedures: Population‐based survey data from the Third National Health and Nutrition Examination Survey, involving 5724 adults 60 years or older, were used. BMI, calculated from measured weight (kilograms) and height (meters squared), was used to categorize participants into six BMI‐defined groups: underweight (<18.5), desirable weight (18.5 to 24.9), overweight (25 to 29.9), obese class I (30 to 34.9), obese class II (35 to 39.9), and obese class III (≥40). The presence of significant knee, hip, and back pain in the groups was studied. Results: The overall prevalences of knee, hip, and back pain were 21%, 14%, and 22%, respectively. Prevalence estimates for knee (underweight 12.1% to obesity class III 55.7%), hip (underweight 10.4% to obesity class III 23.3%), and back (underweight 20.2% to obesity class III 26.1%) pain increased with increased BMI. Sex‐, race‐, and age‐specific pain prevalence estimates also generally increased at increased levels of BMI. Discussion: Among U.S. adults 60 years or older, the prevalence of significant knee, hip, and back pain increases with increased levels of BMI.     

The association between iron metabolism with the change of blood pressure and risk of hypertension: A large cross-sectional study

BackgroundThe relationship between iron metabolism and variations in blood pressure and hypertension risk is still not clear. This study aimed to determine whether iron metabolism is associated with changes in blood pressure and hypertension prevalence in the general United States population.MethodsThe National Health and Nutrition Examination Survey (NAHNES) database contains data on 116876 Americans from 1999 to 2020 years. Data from the NHANES database were used to examine the relationships between iron metabolism (serum iron [SI], serum ferritin [SF], and soluble transferrin receptor [sTfR]) and changes in blood pressure and hypertension prevalence. Generalized linear models and restricted cubic spline (RCS) plot curves were used to estimate the relationship between iron metabolism and hypertension. Further, generalized additive models with smooth functions were used to identify the relationship between iron metabolism and blood pressure. Finally, a stratified subgroup analysis was performed.ResultsA total of 6710 participants were included in our analysis. The RCS plot showed a linear relationship between SI, as well as sTfR, and hypertension prevalence. SF and hypertension prevalence were associated in a J-shape. In addition, the relationship between SI and systolic blood pressure (SBP) and diastolic blood pressure (DBP) decreased initially and then increased. A correlation between SF, SBP, and DBP first decreased, then increased, and finally decreased. A positive linear correlation existed between sTfR and SBP, but it increased and then decreased with DBP.ConclusionThe correlation between SF and hypertension prevalence displayed a J-curve. In contrast, the correlation between SI, as well as sTfR, and hypertension risk was negative and positive, respectively.     

Effects of zinc supplementation on serum zinc and leptin levels,BMI, and body composition in hemodialysis patients

ProjectThe aim of this study was to determine the effects of zinc supplementation on serum zinc and leptin levels as well as on anthropometric status and some biochemical parameters in hemodialysis (HD) patients.ProcedureIn this randomized, double-blind, and placebo-controlled trial, sixty HD patients were randomly divided into groups to receive a daily supplement of 100 mg elemental Zn (supplemented group) or placebo (control group) for 60 days. Anthropometric measurements were taken using standard calibrated instruments. Serum zinc and leptin levels were determined by atomic absorption and ELISA method respectively before and after intervention.ResultsZinc supplementation resulted in significant increase in the mean serum zinc level in the experimental group while changes observed in the placebo group were not significant. The mean serum leptin in women part of the experimental group was decreased significantly after supplementation. After adjusting for age, BMI, body fat (%), serum zinc and dietary Zn intake, a negative and significant association was observed between serum zinc and leptin levels in all subjects (β = −0.33, P = 0.03) as a result of Zn supplementation.ConclusionsMore studies are needed to clarify the mechanisms by which serum leptin level is influenced as a result of zinc supplementation in HD patients.     

The changes of metabolism balance of zinc and copper in gastric juice with widely varying dietary zinc intake

The concentrations of zinc and copper in gastric juice of humans who had widely varying dietary zinc intake were evaluated. In order to compare this with zinc and copper levels of normal dietary individuals, we also determined the zinc and copper levels in healthy individuals' plasma and in cancer patient's natural tissue, all of whom had normal diets. The correlation coefficients between zinc and copper were 0.71, 0.45, and 0.55, respectively, in gastric juice, plasma, and tissue of normal dietary subjects. Such correlation changed and was destroyed when there was a high zinc level in gastric juice. When gastric juice zinc level changed from mean value 16.8 μmol/L to 262.5 μmol/L, the correlation coefficient varied from 0.71 to −0.04, and the copper level also varied from mean value 8.96 μmol/L to 4.89 μmol/L. These findings probably give the evidence to suggest that a high zinc level will restrain the copper level and break the balance of the human body's zinc and copper metabolism.     

A cross-sectional survey of cadmium biomarkers and cigarette smoking

Cadmium contamination of tobacco may contribute to the health hazards of cigarette smoking. The 2005–2012 United States National Health and Nutrition Examination Survey data provided a unique opportunity to conduct a cross-sectional survey of cadmium biomarkers and cigarette smoking. Among a sample of 6761 participants, we evaluated mean differences and correlations between cadmium biomarkers in the blood and urine and characteristics of never, former and current smokers. We found statistically significant differences in mean cadmium biomarker levels between never and former smokers as well as between never and current smokers. In current smokers, duration in years had a higher correlation coefficient with urinary than blood cadmium levels. In contrast, number of cigarettes smoked per day had a higher correlation coefficient with blood than urinary cadmium levels. These data suggest that blood and urine cadmium biomarker levels differ by duration and dose. These findings should be considered in evaluating any association between cadmium and smoking related diseases, especially cardiovascular disease.     

Hemoglobin concentration of high-altitude Tibetans and Bolivian Aymara

Elevated hemoglobin concentrations have been reported for high-altitude sojourners and Andean high-altitude natives since early in the 20th century. Thus, reports that have appeared since the 1970s describing relatively low hemoglobin concentration among Tibetan high-altitude natives were unexpected. These suggested a hypothesis of population differences in hematological response to high-altitude hypoxia. A case of quantitatively different responses to one environmental stress would offer an opportunity to study the broad evolutionary question of the origin of adaptations. However, many factors may confound population comparisons. The present study was designed to test the null hypothesis of no difference in mean hemoglobin concentration of Tibetan and Aymara native residents at 3,800–4,065 meters by using healthy samples that were screened for iron deficiency, abnormal hemoglobins, and thalassemias, recruited and assessed using the same techniques. The hypothesis was rejected, because Tibetan males had a significantly lower mean hemoglobin concentration of 15.6 gm/dl compared with 19.2 gm/dl for Aymara males, and Tibetan females had a mean hemoglobin concentration of 14.2 gm/dl compared with 17.8 gm/dl for Aymara females. The Tibetan hemoglobin distribution closely resembled that from a comparable, sea-level sample from the United States, whereas the Aymara distribution was shifted toward 3–4 gm/dl higher values. Genetic factors accounted for a very high proportion of the phenotypic variance in hemoglobin concentration in both samples (0.86 in the Tibetan sample and 0.87 in the Aymara sample). The presence of significant genetic variance means that there is the potential for natural selection and genetic adaptation of hemoglobin concentration in Tibetan and Aymara high-altitude populations. Am J Phys Anthropol 106:385–400, 1998. © 1998 Wiley-Liss, Inc.     

Body zinc distribution profile during N-methyl-N-nitrosourea-induced mammary tumorigenesis in rats at various levels of dietary zinc intake

Zinc distribution is apparently altered in breast cancer patients. It is unclear if this apparent zinc redistribution is a consequence of altered zinc nutrition or tissue-specific response to breast cancer. Our objectives were to assess effects of N-methyl-N-nitrosourea-treatment and N-methyl-N-nitrosourea-induced mammary tumorigenesis on body zinc-distribution profile in rats and to assess effects of dietary zinc intake on the body zinc-distribution profile during N-methyl-N-nitrosourea treatment and N-methyl-N-nitrosourea-induced mammary tumorigenesis in rats. Female Sprague-Dawley rats were assigned to zinc-deficient (3 mg/kg diet) or zinc-adequate (31 mg/kg diet) ad libitum or pair-fed group. Rats were sham treated or N-methyl-N-nitrosourea treated (50 mg/kg body weight; Experiment 1 or 40 mg/kg body weight; Experiment 2) (n=6). In both experiments, the zinc concentration was significantly higher (6–19 times) in mammary tumor than in mammary gland. Tissue zinc concentration was essentially unaffected by N-methyl-N-nitrosourea treatment and tumor bearing, but was reduced by zinc deficiency in the bone, kidney, and liver. Overall, higher mammary tumor zinc concentration and absence of zinc redistribution during N-methyl-N-nitrosourea treatment and N-methyl-N-nitrosourea-induced mammary tumorigenesis, regardless of zinc intakes, indicates zinc accumulation in mammary tumors. Because zinc is essential for growth and cancer is characterized by uncontrolled growth, this zinc accumulation suggests an involvement of zinc in N-methyl-N-nitrosourea-induced rat mammary tumorigenesis.     

Measures of adiposity and cardiovascular disease risk factors

Objective: To determine which of five measures of adiposity maintains the strongest association with cardiovascular disease risk factors. Research Methods and Procedures: A nationally representative sample of 12,608 adult participants of the third National Health and Nutrition Examination Survey were examined. Waist circumference, total body fat, percent body fat, BMI, and skinfold thickness were measured following a standardized protocol. Results: In multivariable adjusted models including waist circumference and BMI as independent variables, waist circumference was a significantly better predictor. The odds ratios (95% confidence intervals) for each standard deviation higher waist circumference and BMI for men were as follows: 1.88 (1.43, 2.48) and 0.99 (0.76, 1.29), respectively, for hypertension; 1.51 (0.87, 2.59) and 1.23 (0.76, 1.99), respectively, for diabetes; and 1.85 (1.48, 2.32) and 1.00 (0.80, 1.24), respectively, for low high‐density lipoprotein‐cholesterol. The analogous odds ratios (95% confidence intervals) for women were as follows: 2.28 (1.74, 3.00) and 0.91 (0.69, 1.19), respectively, for hypertension; 2.72 (1.85, 4.00) and 0.82 (0.55, 1.23), respectively, for diabetes; and 1.90 (1.47, 2.47) and 1.07 (0.83, 1.38), respectively, for low high‐density lipoprotein‐cholesterol. Results were markedly similar for waist circumference in models adjusting for total body fat, percent body fat, and skinfold thickness separately. In contrast, waist circumference was not a significantly better predictor of elevated C‐reactive protein than the other measures of adiposity. Discussion: Waist circumference maintains a stronger association with cardiovascular disease risk factors than other measures of adiposity.     

Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions

Objective : To determine the relative validity of specific bioelectrical impedance analysis (BIA) prediction equations and BMI as predictors of physiologically relevant general adiposity. Research Methods and Procedures : Subjects were >12, 000 men and women from the Third National Health and Nutrition Examination Survey population. We examined the correlations between BMI and percentage body fat based on 51 different predictive equations, blood pressure, and blood levels of glucose, high‐density lipoprotein cholesterol, and triglycerides, which are known to reflect adiposity, while controlling for other determinants of these physiological measures. Results : BMI consistently had one of the highest correlations across biological markers, and no BIA‐based measure was superior. Percent body fat estimated from BIA was minimally predictive of the physiological markers independent of BMI. Discussion : These results suggest that BIA is not superior to BMI as a predictor of overall adiposity in a general population.     

Effect of supplemental magnesium on the kidney levels of cadmium, zinc, and copper of mice exposed to toxic levels of cadmium

In this report, we present the results of our investigations on the effect of Mg pretreatment on Cd and bioelements (Cu and Zn) contents in kidney of mice exposed to acute and subacute Cd intoxication. Acute intoxication was performed on male Swiss mice given a single oral dose of 20 mg Cd/kg body weight and mice given the same dose of Cd but pretreated with 40 mg Mg/kg body weight. For subacute intoxication one group of mice was given 10 mg Cd/kg body weight every day, for 2 wk, and the other one received the same dose of Cd after oral Mg intake of 20 mg/kg body weight. Cd, Cu, and Zn content was determined in kidney by atomic absorption spectrophotometry. In acute Cd intoxication, Mg pretreatment resulted in significant decrease of Cd in kidney after 4 and 6 h, compared with animals given only Cd. Under the condition of subacute Cd intoxication, Mg supplementation reduced Cd kidney content after 2 wk for about 30%, compared with animals treated with Cd only. The effect of Mg on Cu and Zn kidney content was also beneficial.     

Dietary intake of nickel and zinc by young children – Results from food duplicate portion measurements in comparison to data calculated from dietary records and available data on levels in food groups

The daily dietary intake of nickel (Ni) and zinc (Zn) by 42 young children, 21 boys and 21 girls, from 4 to 7 years of age, living in urban and rural areas of Germany and having different food consumption behaviour, was determined by the duplicate method with a 7-day sampling period. Dietary records were also kept by the children's parents for the 7-day sampling period. Individual reported food items were identified, assigned to food groups and, together with known Ni and Zn concentrations of foodstuffs, daily intake rates were calculated. The same method was used for calculations of the energy, fat, protein and carbohydrate intake rates.The levels in the food duplicates, determined by atomic absorption spectrometry, were in the range of 69–2000 μg Ni/kg_{dry weight} (geometric mean (GM): 348) and 7.1–43 mg Zn/kg_{dry weight} (GM: 17.5). Daily intake rates based on the 294 individual food duplicate analyses were 12–560 μg Ni/d (GM: 92.3) and 1.5–11 mg Zn/d (GM: 4.63). The results from the dietary records were 35–1050 μg Ni/d (GM: 123) and 1.7–15 mg Zn/d (GM: 5.35).The results of the daily intake rates from both methods showed a correlation with regard to Zn (r=0.56), but no correlation was found between either the Ni intake rates determined with both methods or between the Ni intake rates measured by the duplicate method and calculated intake rates from the dietary records of energy, fat, protein, carbohydrates or drinking water. In the case of nickel, the discrepancies between the methods lead one to suppose that the main factors influencing Ni intake by food are not directly caused by easily assessable food ingredients themselves. It is possible that other factors, such as contaminated drinking water or the transition of Ni from kettles or other household utensils made from stainless steel into the food, may be more relevant. In addition there are some foodstuffs with great variations in concentrations, often influenced by the growing area and environmental factors. Further, some food groups naturally high in Nickel like nuts, cocoa or teas might not have been kept sufficient within the records. In summary, the dietary record method gave sufficient results for Zn, but is insufficient for Ni.Based on the food duplicate analysis, children living in urban areas with consumption of food products from a family-owned garden or the surrounding area and/or products from domestic animals of the surrounding area had about one-third higher Ni levels in their food than children either living in an urban area or children consuming products exclusively from the supermarket. Only slight differences were found with regard to Zn.Compared to the recommendations of the German Society of Nutrition (DGE) (25–30 μg Ni/d and 5.0 mg Zn/d), the participants of the study had a clearly increased Ni and, in view of the geometric mean value, a nearly adequate Zn intake. Health risks are especially given with regard to the influence of nickel intake by food on dermatitis for nickel-sensitive individuals.     

Differences in hemoglobin adduct levels of acrylamide in the general population with respect to dietary intake, smoking habits and gender

The variation in dietary exposure to acrylamide (AA) has been studied through measurement of hemoglobin adduct levels from AA, as a measurement of internal dose, in a sample from the blood bank of the Malmö Diet and Cancer Cohort (n = 28,098). The blood donors are well characterised with regard to their food habits, and 142 individuals were selected to obtain highest possible variation in the adduct levels from AA (none, random or high intake of coffee, fried potato, crisp bread and snacks, food items estimated to have high levels of AA).Among 70 non-smokers the AA-adduct levels varied by a factor of 5, and ranged between 0.02 and 0.1 nmol/g, with considerable overlap in AA-adduct levels between the different dietary groups. There was a significant difference between men with high dietary exposure to AA compared to men with low dietary exposure (P = 0.04). No such difference was found for women. As expected a higher level (range: 0.03–0.43 nmol/g) of the AA-adduct, due to AA in tobacco smoke, was found in smokers. Smoking women with high dietary exposure to AA had significantly higher AA-adduct levels compared to smoking women with low dietary exposure (P = 0.01). No such significant difference was found in smoking men. The median hemoglobin (Hb) adduct level in the randomly selected group of non-smokers was compatible with earlier studies (0.031 nmol/g).The variation in the average internal dose, measured as Hb adducts, was somewhat smaller than estimated for daily intake by food consumption questionnaires in other studies. Thus, the observed relatively narrow inter-individual variation in AA-adduct levels means that estimates of individual dietary AA intake have to be very precise if they should be useful in future cancer epidemiology.     

Zinc status is independently related to the bone mineral density,fracture risk assessment tool result,and bone fracture history: Results from a U.S. nationally representative survey

PurposePrevious reports have identified the important role of zinc in bone health. Although the risk of zinc deficiency is still a concern in the U.S., there has never been an in-depth study of the association between zinc status and bone health in a sample representing the country.MethodsWe included 2,895 subjects (aged ≥ 40 years) from National Health and Nutrition Examination Survey (NHANES) 2013–2014 to explore the relationship among three biomarkers of zinc (serum, food, and total intake), the bone mineral density (BMD) of the total spine and femur, the FRAX® scores, and the previous history of bone fractures.ResultsWe showed a one-unit increase in the ln-serum zinc level was associated with an increase in the total spine BMD (ß = 0.068; S.E. = 0.028; P = 0.030) and total femur BMD (ß = 0.061; S.E. = 0.017; P = 0.003), while a one-unit increase in the ln-food zinc intake amount was correlated with an increase in the total femur BMD in the participants (ß = 0.023; S.E. = 0.009; P = 0.021). The ln-total zinc intake amount was correlated with an increase in the total femur BMD in women (ß = 0.016; S.E. = 0.007; P = 0.041). We also found food zinc intake was negatively correlated with the FRAX® score, while increased levels of all three zinc biomarkers were associated with a decreased incidence of previous bone fractures.ConclusionsIn this representative survey of American adults above 40 years old, higher zinc status was associated with higher total spine and femoral BMD, lower FRAX® scores, and lower incidence of previous fractures. If this finding is causal, increased zinc intake remains an important issue for Americans.     

Serum copper levels and not zinc are positively associated with serum leptin concentrations in the healthy adult population

Leptin, the obesity gene protein product, is a hormone with multiple physiological functions in the human. However, there are few reports in the literature on its role in trace element metabolism in the normal population. Therefore, we investigated the association among serum leptin, zinc, copper, and zinc/copper ratio in 570 healthy men and women aged 15 yr and older. Serum leptin assay was done with a commercial enzymelinked immunosorbent assay kit; serum zinc and copper levels were measured by an atomic absorption spectrophotometer. Serum leptin was found to be positively associated with age (r=0.254, p<0.001), sex (r=0.406, p<0.001), body mass index (BMI) (r=0.553, p<0.001), and serum copper (r=0.419, p<0.001), but negatively associated with the zinc/copper ratio (r=−0.423, p<0.001). There was no significant association between serum leptin and zinc (r=−0.131, p>0.05). When the confounding effects of age, sex, and BMI were removed, serum leptin was still positively associated with serum copper (r=0.197, p=0.02) and the serum zinc/copper ratio (r=−0.182, p=0.03). These results suggest that copper and not zinc has an effect on serum leptin levels.     

Correcting biases in estimates of mortality attributable to obesity

Objective: To assess whether a recent study that found a relatively small number of excess deaths attributable to obesity may have underestimated by not correcting for statistical biases. Research Methods and Procedures: This prospective cohort study used data from the First National Health and Nutrition Examination Survey Epidemiologic Follow‐Up Study. Survival analyses were conducted using 9690 individuals 32 to 87 years of age and 1886 all‐cause deaths during a 9.1‐year follow‐up. Corrections were made for the reputed regression‐dilution bias by using the average BMI during the decade before follow‐up as predictor. Corrections for the reputed reverse‐causation bias were made by excluding participants with a history of serious illness. Attributable fractions were calculated and used to estimate excess deaths. Results: The uncorrected estimate of excess deaths attributable to obesity (BMI ≥30) was 41.9, using 18.5 to 25 kg/m² as ideal‐weight category. Using average BMI as predictor increased the estimate to 93.3. Correcting for reverse‐causation effects increased the estimate further to 131.1 (range, 93.3 to 169.0). The uncorrected hazard ratio, 1.25, was increased to 1.41 by using average BMI as predictor, and then to 2.40 by correcting for reverse causation. Using BMI 21 to 25 kg/m² and 23 to 25 kg/m² as ideal‐weight categories increased the corrected estimates to 144.6 (range, 80.5 to 177.2) and 164.1 (range, 103.8 to 194.9), respectively. Larger increases were found for overweight and Grade 2 to 4 obesity (BMI ≥35 kg/m²). For overweight, the uncorrected estimate using 18.5 to 25 kg/m² as ideal‐weight category was ?88.3 and the corrected estimate using 23 to 25 kg/m² as ideal‐weight category was 205.4 (range, 114.5 to 296.3). Discussion: Correcting for statistical biases and using higher ideal‐weight categories increased the estimate of excess deaths attributable to obesity by ～400% and changed the negative estimate for overweight to a large positive estimate.     

Dietary Intake of Arsenic, Cadmium, Mercury, and Lead by the Population of Catalonia, Spain

The concentrations of arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) were determined in samples of food items widely consumed by the population of Catalonia, Spain. All samples were randomly acquired in 12 cities of Catalonia between March and June of 2006 and analyzed by inductively coupled plasma mass spectrometry. The dietary intake of these elements was estimated for various age–gender groups of population: children, adolescents, adults, and seniors. In order to determine the temporal trend on the dietary exposure to As, Cd, Hg, and Pb, the current results were compared with those of a previous survey (2000). In the present market basket study, for a standard male adult of 70-kg body weight living in Catalonia, the dietary intakes of As, Cd, Hg, and Pb were 261.01, 9.80, 12.61, and 45.13 μg/day, respectively, while in the 2000 survey, these intakes were 223.59, 15.73, 21.22, and 28.37 μg/day, for As, Cd, Hg, and Pb, respectively. For As, the only food groups currently contributing with measurable amounts to intake of total As were fish and shellfish and cereals, while for Cd the highest contribution to total intake corresponded to pulses, tubers, and cereals. For Hg, the contribution was only due to fish and shellfish, while cereals were the group with the highest contribution to total Pb intake. The estimated intakes of As, Cd, Hg, and Pb are notably lower than the respective provisional tolerable weekly intakes, which indicate that these intakes should not mean additional health risks for the consumers.     

Comparison of self-reported and measured BMI as correlates of disease markers in US adults

Objective: The purpose of this study is to evaluate the validity of BMI based on self‐reported data by comparison with technician‐measured BMI and biomarkers of adiposity. Research Methods and Procedures: We analyzed data from 10,639 National Health and Nutrition Education Study III participants ≥20 years of age to compare BMI calculated from self‐reported weight and height with BMI from technician‐measured values and body fatness estimated from bioelectrical impedance analysis in relation to systolic blood pressure, fasting blood levels of glucose, high‐density lipoprotein‐cholesterol, triglycerides, C‐reactive protein, and leptin. Results: BMI based on self‐reported data (25.07 kg/m²) was lower than BMI based on technician measurements (25.52 kg/m²) because of underreporting weight (?0.56 kg; 95% confidence interval, ?0.71, ?0.41) and overreporting height (0.76 cm; 95% confidence interval, 0.64, 0.88). However, the correlations between self‐reported and measured BMI values were very high (0.95 for whites, 0.93 for blacks, and 0.90 for Mexican Americans). In terms of biomarkers, self‐reported and measured BMI values were equally correlated with fasting blood glucose (r = 0.43), high‐density lipoprotein‐cholesterol (r = ?0.53), and systolic blood pressure (r = 0.54). Similar correlations were observed for both measures of BMI with plasma concentrations of triglycerides and leptin. These correlations did not differ appreciably by age, sex, ethnicity, or obesity status. Correlations for percentage body fat estimated through bioelectrical impedance analysis with these biomarkers were similar to those for BMI. Discussion: The accuracy of self‐reported BMI is sufficient for epidemiological studies using disease biomarkers, although inappropriate for precise measures of obesity prevalence.