Dataset Information

Association between urinary cadmium levels and prediabetes in the NHANES 2005-2010 population.

ABSTRACT: Evidence suggests an association between exposure to cadmium and dysglycemia. To investigate this matter, we examined the relationship between urinary cadmium and prediabetes in the cross sectional National Health and Nutrition Examination Survey (NHANES). NHANES participants for the years 2005 through 2010 aged ? 40 years were included in the analysis. Participants with nephropathy, overt diabetes, or missing required data were excluded. To assess the non-linear relationship between cadmium and Prediabetes, non-parametric logistic regression with B spline expansion of urinary cadmium/creatinine ratio was performed. This analysis revealed a complex non-linear association between higher cadmium levels and prediabetes. This relationship persisted, though with varying magnitudes across smoking groups (never smokers, moderate smokers, heavy smokers). In a conventional logistic regression analysis, this relationship was less evident with significantly increased OR for prediabetes was found in the highest quintile of urine cadmium compared to the lowest quintile in the overall population and in moderate smokers. In an age stratified analysis, a significant linear association was found only in the age groups 60-69 and ? 70. We conclude that there is a significant non-linear, complex relationship between urinary Cd levels, age, smoking habits and odds of prediabetes.

SUBMITTER: Wallia A

PROVIDER: S-EPMC4194078 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Association between urinary cadmium levels and prediabetes in the NHANES 2005-2010 population.

Wallia Amisha A Allen Norrina Bai NB Badon Sylvia S El Muayed Malek M

International journal of hygiene and environmental health 20140620 8

Evidence suggests an association between exposure to cadmium and dysglycemia. To investigate this matter, we examined the relationship between urinary cadmium and prediabetes in the cross sectional National Health and Nutrition Examination Survey (NHANES). NHANES participants for the years 2005 through 2010 aged ≥ 40 years were included in the analysis. Participants with nephropathy, overt diabetes, or missing required data were excluded. To assess the non-linear relationship between cadmium and ...[more]

PMID: 25043455

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Project description:Objective Current studies on the association between constipation and depression is still insufficient. In this study, we investigated the detailed association between constipation and major depression among American adults. Methods In this cross-sectional study, 12,352 adults aged 20 and older were selected from the National Health and Nutrition Examination Survey 2005–2010 for the sample. Constipation was defined as fewer than three defecation frequencies per week. For the assessment of major depression, the validated Patient Health Questionnaire-9 was used. Adjusted odds ratios (ORs) were calculated using multivariate logistic regression models. A subgroup analysis was carried out to ensure that the results were stable. Results Of the 12,352 participants, 430 reported constipation, with a prevalence of 3.5%. Depression was reported in 1030 cases, indicating a prevalence rate of 8.3%. Patients with constipation were significantly more likely to have major depression (20.9%) than those without it (7.9%, p < 0.001). After adjusting for age, sex, race/ethnicity, marital status, education level, body mass index, vigorous physical activity, alcohol consumption, smoking status, poverty income ratio, diabetes, selective serotonin reuptake inhibitor use, liver disease, heart disease, pulmonary disease, hypertension, arthritis, cancer, dietary fiber intake, moisture intake, total fat intake, carbohydrates intake, and protein intake, constipation is significantly associated with major depression (OR: 2.20, 95%CI: 1.68–2.87, p < 0.001). Subgroup analyses by age, sex, dietary intake, risk behaviors, and common complications showed no statistically significant interactions (p > 0.05). Conclusion In conclusion, this study showed that constipation were significantly associated with depression. When treating patients with constipation, it is necessary for clinicians to screen and evaluate depression, and provide timely and effective intervention for patients with depression to avoid further deterioration of the condition.

Project description:BackgroundPublished evidence suggests an inverse association between sleep duration and body weight status.ObjectiveWe examined the association of sleep duration with eating behaviors reported by adult Americans to understand the relation between sleep duration and body weight status.DesignThis cross-sectional study used sleep duration and dietary data from the continuous NHANES conducted from 2005 to 2010 (n = 15,199, age ≥20 y). Eating behaviors examined included the following: reporting of and energy from main meals (breakfast, lunch, and dinner) and snacks (before breakfast, after dinner, and after 2000 h), intermeal intervals, time of day of main meal reporting, and intakes of macronutrients and beverages. Multiple regression methods were used to examine the independent association of hours of sleep duration grouped as short (≤6 h), average (7-8 h), and long (≥9 h) with eating behavior outcomes.ResultsRelative to average-duration sleepers, a smaller percentage of short-duration sleepers mentioned breakfast, lunch (women only), and dinner in the recall (P ≤ 0.04). They also reported a lower mean percentage of energy from main meals but higher energy from all snacks (P ≤ 0.0004) and after 2000 h (P = 0.03). Short-duration sleepers reported the earliest eating time of the first episode and the latest time of the last eating episode. Absolute amounts of sugar and caffeine and percentage of energy from beverages (women only) were higher in short-duration sleepers. However, the total number of eating episodes and energy intake were not related with sleep duration.ConclusionsShort-duration sleepers began eating earlier and ended their eating later in the day, but despite the longer eating period, they did not report more eating events. Profiles of the relative contribution of main meals and snacks, at or after 2000 h eating, and beverages in short-duration sleepers were suggestive of eating behaviors that may increase energy intake, but 24-h energy intake did not differ among categories of sleep duration.

Project description:BackgroundVarious risk factors influence obesity differently, and environmental endocrine disruption may increase the occurrence of obesity. However, most of the previous studies have considered only a unitary exposure or a set of similar exposures instead of mixed exposures, which entail complicated interactions. We utilized three statistical models to evaluate the correlations between mixed chemicals to analyze the association between 9 different chemical exposures and obesity in children and adolescents.MethodsWe fitted the generalized linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) to analyze the association between the mixed exposures and obesity in the participants aged 6-19 in the National Health and Nutrition Examination Survey (NHANES) 2005-2010.ResultsIn the multivariable logistic regression model, 2,5-dichlorophenol (2,5-DCP) (OR (95% CI): 1.25 (1.11, 1.40)), monoethyl phthalate (MEP) (OR (95% CI): 1.28 (1.04, 1.58)), and mono-isobutyl phthalate (MiBP) (OR (95% CI): 1.42 (1.07, 1.89)) were found to be positively associated with obesity, while methylparaben (MeP) (OR (95% CI): 0.80 (0.68, 0.94)) was negatively associated with obesity. In the multivariable linear regression, MEP was found to be positively associated with the body mass index (BMI) z-score (β (95% CI): 0.12 (0.02, 0.21)). In the WQS regression model, the WQS index had a significant association (OR (95% CI): 1.48 (1.16, 1.89)) with the outcome in the obesity model, in which 2,5-DCP (weighted 0.41), bisphenol A (BPA) (weighted 0.17) and MEP (weighted 0.14) all had relatively high weights. In the BKMR model, despite no statistically significant difference in the overall association between the chemical mixtures and the outcome (obesity or BMI z-score), there was nonetheless an increasing trend. 2,5-DCP and MEP were found to be positively associated with the outcome (obesity or BMI z-score), while fixing other chemicals at their median concentrations.ConclusionComparing the three statistical models, we found that 2,5-DCP and MEP may play an important role in obesity. Considering the advantages and disadvantages of the three statistical models, our study confirms the necessity to combine different statistical models on obesity when dealing with mixed exposures.

Dataset Information

Association between urinary cadmium levels and prediabetes in the NHANES 2005-2010 population.

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Association between urinary cadmium levels and prediabetes in the NHANES 2005-2010 population.

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