BACKGROUND: Few studies have explored the impact of perchlorate, nitrate, and thiocyanate (PNT) on kidney function. This study aimed to evaluate the association of urinary levels of PNT with renal function as well as the prevalence of chronic kidney disease (CKD) among the general population in the United States. METHODS: This analysis included data from 13,373 adults (≥20 years) from the National Health and Nutrition Examination Survey 2005 to 2016. We used multivariable linear and logistic regression, to explore the associations of urinary PNT with kidney function. Restricted cubic splines were used to assess the potentially non-linear relationships between PNT exposure and outcomes. RESULTS: After traditional creatinine adjustment, perchlorate (P-traditional) was positively associated with estimated glomerular filtration rate (eGFR) (adjusted β: 2.75; 95% confidence interval [CI]: 2.25 to 3.26; P  < 0.001), and negatively associated with urinary albumin-to-creatinine ratio (ACR) (adjusted β: -0.05; 95% CI: -0.07 to -0.02; P  = 0.001) in adjusted models. After both traditional and covariate-adjusted creatinine adjustment, urinary nitrate and thiocyanate were positively associated with eGFR (all P values <0.05), and negatively associated with ACR (all P values <0.05); higher nitrate or thiocyanate was associated with a lower risk of CKD (all P values <0.001). Moreover, there were L-shaped non-linear associations between nitrate, thiocyanate, and outcomes. In the adjusted models, for quartiles of PNT, statistically significant dose-response associations were observed in most relationships. Most results were consistent in the stratified and sensitivity analyses. CONCLUSIONS Exposures to PNT might be associated with kidney function, indicating a potential beneficial effect of environmental PNT exposure (especially nitrate and thiocyanate) on the human kidney.
Adult ; Humans ; United States/epidemiology* ; Nitrates/adverse effects* ; Nutrition Surveys ; Thiocyanates/urine* ; Perchlorates/urine* ; Creatinine ; Environmental Exposure ; Renal Insufficiency, Chronic/epidemiology* ; Logistic Models

Objective: To analyze the levels and distribution characteristics of blood cadmium and urinary cadmium in American adults, to analyze the relationship between blood cadmium and urinary cadmium and pulmonary function dose response, and to explore the effect of this index on the risk of chronic obstructive pulmonary disease. Methods: In March 2022, 3785 patients from 2007 to 2012 in NHANES database were selected as the subjects. Collect demography data such as gender and age, and test data such as lung function, blood cadmium concentration and Urine cadimium concentration. The relationship between blood and urine cadmium levels and lung function and pulmonary function and chronic obstructive pulmonary diease (COPD) was analyzed by Mann-Whitney U test or Kruskal-Wallis H test, multivariate linear regression and restricted cubic spline method. Results: The geometric mean of blood cadmium and urine cadmium in American adults was 0.37 g/L and 0.28 g/L, FEV(1) and FEV(1)/FVC among different cadmium exposure groups was statistically significant, and there was a negative linear dose-response relationship between serum Cd and urine Cd concentrations and FEV(1)/FVC levels (P(overall)<0.001, P(non-linear)=0.152; P(overall)<0.001, P(non-linear)=0.926). Compared with the lowest quartile concentration (Q1), the highest quartile blood cadmium concentration (Q4) (OR=1.934, P(trend)=0.000) and urinary cadmium concentration (OR=1.683, P(trend)=0.000) may increased the risk of chronic obstructive pulmonary disease. Conclusion: There is a negative correlation between blood cadmium, urinary cadmium levels and lung function in American adults, and cadmium may increase the risk of chronic obstructive pulmonary disease.
Adult ; Humans ; Cadmium ; Nutrition Surveys ; Lung ; Pulmonary Disease, Chronic Obstructive ; Respiratory Function Tests

Literature regarding the impacts of heavy metal exposure on erectile dysfunction (ED) is scarce. We aimed to evaluate the correlation between 10 urinary metals and ED in a large, nationally representative adult male sample. The dataset was extracted from the National Health and Nutrition Examination Survey (NHANES) during the period of 2001-2002 and 2003-2004. Weighted proportions and multivariable logistic regression analysis adjusted for confounding variables were utilized to determine the relationship between metal exposure and ED. Weighted quantile sum (WQS) regression was utilized to evaluate the impact of a mixture of urinary metals on ED. A total of 1328 participants were included in our study. In multivariable logistic regression analysis, cobalt (Co) and antimony (Sb) were positively associated with ED (odds ratio [OR]: 1.36, 95% confidence interval [CI]: 1.10-1.73, P = 0.020; and OR: 1.41, 95% CI: 1.12-1.77, P = 0.018, respectively) after full adjustment. Men in tertile 4 for Co (OR: 1.49, 95% CI: 1.02-2.41, P for trend = 0.012) and Sb (OR: 1.53, 95% CI: 1.08-2.40, P for trend = 0.041) had significantly higher odds of ED than those in tertile 1. Furthermore, the WQS index was significantly linked with increased odds of ED after full adjustment (OR: 1.31, 95% CI: 1.04-1.72, P < 0.05). Our study expanded on previous literature indicating the possible role of heavy metal exposure in the etiology of ED. The evaluation of heavy metal exposure should be included in the risk assessment of ED.
Adult ; Humans ; Male ; United States ; Erectile Dysfunction/etiology* ; Nutrition Surveys ; Metals, Heavy ; Risk Assessment

Humans ; Vitamins/therapeutic use* ; Iron, Dietary ; Diabetes Mellitus, Type 2 ; Nutrition Surveys ; Diet ; Vitamin A ; Vitamin K

Humans ; Nutrition Surveys ; Diabetes Mellitus, Type 2/chemically induced* ; Environmental Exposure/analysis* ; Environmental Monitoring ; Phthalic Acids/toxicity* ; Environmental Pollutants/toxicity*

OBJECTIVE: This study aimed to develop an artificial neural network (ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease (NAFLD) in American adults. METHODS: Data from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) 2007-2014 were analyzed. Eligible subjects ( n = 6,613) were randomly divided into a training set ( n ₁ = 4,609) and a validation set ( n ₂ = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets. RESULTS: Our study found that the odds ratios ( ORs) and 95% confidence intervals ( CIs) of NAFLD for the highest quartile of plant-derived dietary retinol intake (i.e., provitamin A carotenoids, such as β-carotene) ( OR = 0.75, 95% CI: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388. CONCLUSION The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.
Adult ; Humans ; Vitamin A ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Nutrition Surveys ; Diet ; Neural Networks, Computer

Objective To investigate the food preferences and explore the potential association between dietary knowledge and food preferences in residents aged 18 and over in China,so as to provide a basis for promoting healthy diets.Methods The latent class analysis was carried out with the 2015 cross-sectional data of China health and nutrition survey to categorize the food preferences among 8 783 residents aged 18 and over.Multinomial Logistic regression was adopted to assess the association between and dietary knowledge and food preferences.Results The food preferences of the residents aged 18 and over in China were classified into preference for less vegetable(3.28%),lack of preference(11.20%),diverse preferences(4.19%),and preference for healthy diets(81.33%).The proportion of the adults with dietary knowledge was 36.87%(3 238/8 783).The dietary knowledge varied in the adults with different food preferences(all P<0.001).After adjusting for gender,age,urban and rural distribution,education background,and annual household income,for each point increase in the dietary knowledge score,there was an estimated reduction of 22% in the probability of preferring less vegetables(OR=0.78,95%CI=0.76-0.80, P<0.001),13% in the probability of lacking preference(OR=0.87,95%CI=0.86-0.89, P<0.001),and 3% in the probability of having diverse preferences(OR=0.97,95%CI=0.94-1.00, P=0.030).Compared with those lacking dietary knowledge,the individuals with dietary knowledge had a 77% less probability of preferring less vegetables(OR=0.23,95%CI=0.16-0.32, P<0.001),a 55% less probability of lacking preference(OR=0.45,95%CI=0.39-0.53, P<0.001),and a 23% less probability of having diverse preferences(OR=0.77,95%CI=0.61-0.96, P=0.023).Conclusions The residents aged 18 and over in China presented four food preferences,including preference for less vegetables,lack of preference,diverse preferences,and preference for healthy diets,the last of which had the highest proportion.The individuals with lower levels of dietary knowledge have higher probability of preferring unhealthy food.
Adult ; Humans ; Adolescent ; Food Preferences ; Latent Class Analysis ; Cross-Sectional Studies ; Diet ; Nutrition Surveys ; China

Based on the open data of China Health and Nutrition Survey (CHNS), 249 children, adolescents and 249 heads of families who completed two rounds of surveys in 2011 and 2015 were selected in this study. According to the fast food consumption of children and adolescents, they were divided into fast food consumption group and non-fast food consumption group. Logistic regression model was used to analyze the relationship between children and adolescents watching Food TV advertising and fast food consumption. After adjusting relevant factors, the results showed that children and adolescents requiring their parents to buy food in TV advertisements (OR=3.122, P=0.001), parents buying food for their children in TV advertisements (OR=4.717, P=0.036), children and adolescents buying food in TV advertisements themselves (OR=3.728, P=0.041), children and adolescents' preference for food in TV advertisements (OR=2.946, P=0.044) and the frequency of children and adolescents reported by their parents asking their parents to buy food in TV advertisements (OR=3.113, P=0.002) were associated with children and adolescents' fast food consumption.
Adolescent ; Advertising ; Child ; China ; Fast Foods/analysis* ; Humans ; Nutrition Surveys ; Television

Objective: To investigate the effect of pesticides and herbicides on lipid metabolism. Methods: In November 2020, Based on the data of the national health and Nutrition Survey (NHANES) (2011-2014) , select the population aged 20~65 who have demographic information, pesticide use and data of four lipid metabolism indicators [total cholesterol (TC) , triglyceride (TG) , high density lipoprotein cholesterol (HDLC) and low density lipoprotein cholesterol (LDLC) ] (n=3039) . The subjects were divided into insecticide group (320 people) and non insecticide group (2719) according to the use of insecticides, and herbicide group (156 people) and non herbicide group according to the use of herbicides. Results: Among the 3039 subjects, the males and female were 1509 (49.7%) and 1530 (50.3%) respectively. The males age was (39.7±12.0) years and the females age was (40.2±12.0) years The concentration of HDLC in the NHANES (55.4±15.0) mg/dl was lower than that of (58.2±14.2) mg/dL in the non herbicide group (P<0.05) (b=-0.044, P<0.05) . The results showed that the use of herbicides was related to the decrease of HDLC and the increase of LDLC and LDLC/HDLC in female population (b=-0.050, 0.062, 0.067, all P<0.05) . Conclusion: Herbicide exposure can cause the change of lipid metabolism, and the effect on female population is more obvious.
Adult ; Cholesterol, HDL ; Cholesterol, LDL ; Female ; Humans ; Lipid Metabolism ; Male ; Middle Aged ; Nutrition Surveys ; Pesticides ; Young Adult

Objective: This study aimed to analyze the temporal trends and characteristics associated with waist circumference (WC) among elderly Chinese people. Methods: We used data from 3,096 adults ≥ 65 years who participated in the China Health and Nutrition Survey (CHNS), an ongoing cohort study, between 1993 and 2015. We used longitudinal quantile regression models to explore the temporal trends and characteristics associated with WC. Results: WC increased gradually among the elderly Chinese population during the survey. The WC curves shifted to the right with wider distributions and lower peaks in men and women. All WC percentile curves shifted upward with similar growth rates in the 25th, 50th, and 75th percentiles. The WC means increased from 78 cm to 86 cm during the 22 years of our study. WC significantly increased with age and body mass index and decreased with physical activity (PA). These associations were stronger in the higher percentiles than in the lower percentiles. Conclusions WC is rising among Chinese adults ≥ 65 years. Factors affecting WC in elderly people may have different effects on different percentiles of the WC distribution, and PA was the most important protective factor in the higher percentiles of the WC distribution. Thus, different interventional strategies are needed.
Aged ; Body Mass Index ; China/epidemiology* ; Cohort Studies ; Female ; Humans ; Male ; Nutrition Surveys ; Waist Circumference