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

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

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

Introduction. Malnutrition in the forms of wasting and overweight among children ages 0 to 23 months is a continuing public health concern in the Philippines. Childhood malnutrition has lifelong consequences. For young children aged 0-23 months, maternal influences play a significant role in the realization of optimal nutritional status.

Objective. This study aimed to identify maternal characteristics that may influence the nutritional status of children aged 0-23 months.

Methods. This study utilized data from the 2015 Updating Survey from Department of Science and Technology-Food and Nutrition Research Institute. The association of maternal characteristics with the nutritional status of a child was determined using the Rao-Scott Chi-squared test statistic. Multinomial logistic regression was used to model a child's nutritional status using weight-for-length as an indicator.

Results. A child whose mother was educated was less likely to be wasted. The odds of a child being wasted was observed to increase with underweight mothers, longer duration of lactation and higher wealth quintile. Alternatively, the odds of a child to be overweight is reduced if the mother had formal education, was in late lactation stage, and availed tetanus toxoid vaccine. The likelihood that a child will be overweight increased with higher family wealth quintile and obesity of the mother.

Conclusion. Maternal nutritional status, education, duration of lactation, wealth quintile, and availment of prenatal services were found to be associated with the weight-for-height status of children 0-23 months. Incorporating the identified maternal factors when planning new interventions and policies is recommended to address wasting in young children.

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

OBJECTIVE: To study the rate and characteristics of H-type hypertension in Chinese hypertensive population, and to compare them with the relevant data from the United States. METHODS: Observational studies on the prevalence of H-type hypertension in Chinese population published before April 30, 2022 were searched in several Chinese and English databases (PubMed, Embase, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang Databases, and Chinese Biome-dical Literature Database). Study selection, date extraction and quality evaluation were conducted. Random effect model was used to estimate the rate of H-type hypertension in hypertensive patients and the pooled prevalence of H-type hypertension. Stratified analysis was used to explore the distribution characteristics of H-type hypertension in China. We made meta-regression to search the source of heterogeneity. The National Health and Nutrition Examination Survey (NHANES) population from 1999 to 2006 in the United States was divided into four stages according to the time of data collection. Basic information of the participants was acquired from the database and the rate and prevalence of H-type hypertension analyzed. RESULTS: This study was finally comprised of 33 studies, involving 78 470 patients with hypertension, among whom 59 842 patients were with H-type hypertension. The rate of H-type hypertension in hypertensive population in China was 73.1% (95%CI: 69.3%-76.9%, I²=99.4%, P < 0.001), and the prevalence of H-type hypertension in general population was 26.9% (95%CI: 21.1%-32.8%, I²=99.8%, P < 0.001). In the stratified analysis, the rate of H-type hypertension was higher among the elderly over 65 years, males, ethnic minorities, and residents in the inland, western, northern, and rural areas. During the decade from 2011 to 2020, the rate of H-type hypertension in China declined slowly (2011-2013: 79.2% vs. 2014-2016: 70.4% vs. 2017-2020: 66.6%, P < 0.001). Meta-regression showed that area was the source of heterogeneity. The rate of H-type hypertension in the United States increased over time, reaching a high value in 2003-2004 and then declining in 2005-2006. The rate of H-type hypertension in hypertensive patients and the prevalence of H-type hypertension in general population in the United States was lower than that in China. CONCLUSION Although the rate of H-type hypertension in Chinese hypertensive patients has a downtrend, it still far exceeds that in the United States, especially in the elderly, males, ethnic minorities, and residents in the inland, western, northern, and rural areas. Understanding the epidemiology of H-type hypertension provides scientific evidence for further prevention of cardiovascular and cerebrovascular diseases.
Aged ; Asian People ; China/epidemiology* ; Humans ; Hypertension/epidemiology* ; Male ; Nutrition Surveys ; Prevalence ; United States/epidemiology*