Pain attitudes and pain outcomes among people with bleeding disorders: Results from community voices in research.

INTRODUCTION: Among people with bleeding disorders (PwBD), pain is a major problem and pain treatments are often ineffective. Understanding of psychological factors involved in pain processing is limited. Maladaptive pain attitudes are associated with worse pain outcomes and adaptive pain attitudes are associated with better outcomes in high pain conditions, but relationships between pain attitudes and pain outcomes are so far unexplored among PwBD. AIM: To investigate relationships between pain attitudes and pain outcomes among PwBD. METHODS: Pain attitudes were measured with the Survey of Pain Attitudes, containing two adaptive scales (Control and Emotion) and five maladaptive scales (Disability, Harm, Medication, Solicitude, Medical Cure). Adults with bleeding disorders, who had pain, and were enrolled in Community Voices in Research were eligible. Participants (n = 72) completed an online survey. Cross sectional associations between pain attitudes and pain outcomes (pain and prescribed pain medication use) were investigated using logistic regression. RESULTS: After adjustment for covariates, greater Control attitudes were associated with lower odds of more severe pain, and greater Disability, Harm, and Medication attitudes were all associated with higher odds of more severe pain and with higher odds of any prescribed pain medication use and opioid pain medication use. CONCLUSIONS: We presented compelling evidence of relationships between pain attitudes and pain outcomes in PwBD, though corroboration is needed from other populations. Our findings suggest that modification of pain attitudes presents a possible avenue for interventions to improve pain outcomes and increase patient satisfaction with pain management.

Factors influencing fever care-seeking for children under five years of age in The Gambia: a secondary analysis of 2019-20 DHS data.

BACKGROUND: Malaria contributes to excess child mortality in The Gambia. Children under five are at risk of severe malaria and death if not treated promptly and appropriately. It is crucial that a child with fever receive appropriate care from a trained provider. The aim was to identify influences on child fever care-seeking in The Gambia to inform malaria control strategies. METHODS: This cross-sectional analysis of The Gambia 2019-20 Demographic and Health Survey used logistic regression analysis to identify associations between source of care for a child with fever (public or private healthcare provider, other, or no treatment) and mother, child, and household characteristics. RESULTS: Only 52.0% of mothers sought care from a trained healthcare provider for a child with fever-45.1% from a public facility and 7.0% from the private sector. 35.2% of mothers did not seek treatment. Mothers in urban households were 2.67 times as likely (aOR, 95% CI 1.504-4.736) as mothers in rural households to seek care from an informal source (e.g., pharmacy) versus not seeking treatment, and 0.29 times as likely (aOR, 95% CI 0.165-0.515) as mothers in rural households to seek care from a public provider versus informal source. Mothers in wealthier households were 2.30 times as likely (aOR, 95% CI 1.274-4.164) as mothers in poorer households to seek care from an informal source versus no treatment and half as likely as mothers in poorer households to seek care from a public provider versus informal source (aOR 0.53, 95% CI 0.291-0.959). CONCLUSIONS: Maintaining The Gambia's malaria control achievements will require the active engagement and oversight of private pharmacies along with continued integrated community case management to reach mothers who do not seek care for a child with fever, and remove challenges to seeking appropriate care from trained providers. Whether influenced by convenience, costs, perceived urgency, or other factors, given the likelihood of urban mothers and mothers in wealthier households to seek care from private pharmacies, it will be necessary to incorporate private pharmacies into malaria control strategies while building public sector capacity and workforce, and initiating more effective attitude and behavioural change among mothers and households.

Discrimination, Mediating Psychosocial or Economic Factors, and Antihypertensive Treatment: A 4-Way Decomposition Analysis in the Health and Retirement Study.

Untested psychosocial or economic factors mediate associations between perceived discrimination and suboptimal antihypertensive therapy. This study included 2 waves of data from Health and Retirement Study participants with self-reported hypertension (n = 8,557, 75% non-Hispanic White, 15% non-Hispanic Black, and 10% Hispanic/Latino) over 4 years (baselines of 2008 and 2010, United States). Our primary exposures were frequency of experiencing discrimination, in everyday life or across 7 lifetime circumstances. Candidate mediators were self-reported depressive symptoms, subjective social standing, and household wealth. We evaluated with causal mediation methods the interactive and mediating associations between each discrimination measure and reported antihypertensive use at the subsequent wave. In unmediated analyses, everyday (odds ratio (OR) = 0.86, 95% confidence interval (CI): 0.78, 0.95) and lifetime (OR = 0.91, 95% CI: 0.85, 0.98) discrimination were associated with a lower likelihood of antihypertensive use. Discrimination was associated with lower wealth, greater depressive symptoms, and decreased subjective social standing. Estimates for associations due to neither interaction nor mediation resembled unmediated associations for most discrimination-mediator combinations. Lifetime discrimination was indirectly associated with reduced antihypertensive use via depressive symptomatology (OR = 0.99, 95% CI: 0.98, 1.00). In conclusion, the impact of lifetime discrimination on the underuse of antihypertensive therapy appears partially mediated by depressive symptoms.

A prospective study of arsenic and manganese exposures and maternal blood pressure during gestation.

BACKGROUND: Pregnancy is a sensitive time for maternal cardiovascular functioning and exposures to arsenic or manganese may adversely affect blood pressure (BP). OBJECTIVES: This study examined the associations between arsenic and manganese exposures and maternal BP measured during pregnancy. Effect modification by pre-pregnancy body mass index (BMI) was evaluated. METHODS: Pregnant women (N = 1522) were recruited for a prospective cohort study in Bangladesh (2008-2011). Exposure to arsenic and manganese was measured in drinking water at <16 weeks gestation and toenails at one-month postpartum. Systolic and diastolic BP were measured monthly. Linear mixed models estimated mean BP and differences in mean BP over gestation for arsenic or manganese exposures and adjusted for covariates. RESULTS: Arsenic levels had an increasing dose-response association with maternal BP after 25 weeks gestation. Effect modification was observed for BMI. Participants with lower BMI (<23 kg/m2) exposed to 50 µg/L arsenic had 2.83 mmHg (95% CI:1.74-3.92) greater mean systolic and 1.96 mmHg (95% CI: 1.02-2.91 mmHg) diastolic BP compared to those exposed to ≤ 1 µg/L arsenic at 40 weeks gestation. Participants with higher BMI (≥23 kg/m2) showed a greater mean systolic BP of 5.72 mmHg (95% CI: 3.18-8.27 mmHg) and diastolic BP change of 6.09 mmHg (95% CI: 4.02-8.16 mmHg) at 40 weeks gestation when exposed to 50 µg/L compared to ≤ 1 µg/L arsenic. Participants with lower BMI exposed to drinking water manganese in the 2nd quartile (181-573 µg/L) had 1.04 mmHg higher mean diastolic BP (95% CI: 0.01-2.07 mmHg) at 40 weeks gestation compared to those in the 1st quartile (0.5-180 µg/L). CONCLUSION: Arsenic exposures during pregnancy were consistently associated with increased average maternal systolic and diastolic BP. The effect of manganese on BP was less consistent.

Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.

BACKGROUND: The prediction of in-hospital mortality for ICU patients with COVID-19 is fundamental to treatment and resource allocation. The main purpose was to develop an easily implemented score for such prediction. METHODS: This was an observational, multicenter, development, and validation study on a national critical care dataset of COVID-19 patients. A systematic literature review was performed to determine variables possibly important for COVID-19 mortality prediction. Using a logistic multivariable model with a LASSO penalty, we developed the Rapid Evaluation of Coronavirus Illness Severity (RECOILS) score and compared its performance against published scores. RESULTS: Our development (validation) cohort consisted of 1480 (937) adult patients from 14 (11) Dutch ICUs admitted between March 2020 and April 2021. Median age was 65 (65) years, 31% (26%) died in hospital, 74% (72%) were males, average length of ICU stay was 7.83 (10.25) days and average length of hospital stay was 15.90 (19.92) days. Age, platelets, PaO2/FiO2 ratio, pH, blood urea nitrogen, temperature, PaCO2, Glasgow Coma Scale (GCS) score measured within +/-24 h of ICU admission were used to develop the score. The AUROC of RECOILS score was 0.75 (CI 0.71-0.78) which was higher than that of any previously reported predictive scores (0.68 [CI 0.64-0.71], 0.61 [CI 0.58-0.66], 0.67 [CI 0.63-0.70], 0.70 [CI 0.67-0.74] for ISARIC 4C Mortality Score, SOFA, SAPS-III, and age, respectively). CONCLUSIONS: Using a large dataset from multiple Dutch ICUs, we developed a predictive score for mortality of COVID-19 patients admitted to ICU, which outperformed other predictive scores reported so far.

The Association Between Food-Away-From-Home Frequency and a Higher BMI Varies by Food Security Status in US Adults.

BACKGROUND: For decades, Americans have increasingly relied on food away from home (FAFH) despite its association with negative health outcomes. Little is known about FAFH frequency and expenditures of adults with lower food security (FS) and their association with health outcomes, such as BMI. OBJECTIVES: We evaluated patterns of adults' FAFH purchases by FS status and other demographic characteristics, and examined the association between FAFH frequency and BMI in adults of varying levels of FS. METHODS: This cross-sectional study used data from the Consumer Behavior Survey, Food Security Survey, and anthropometric measurements to assess FAFH frequency and expenditures, FS, and calculated BMI of adults (≥18 y) who participated in the NHANES 2007-2014 (n = 20,733). We used multinomial logistic regression to examine the association between FAFH frequency quartiles (quartile 1: 0 n/wk; quartile 2: 1-2 n/wk; quartile 3: 3-4 n/wk; quartile 4: ≥5 n/wk) and BMI by FS category. RESULTS: Although FAFH frequency was similar across FS levels, adults with high FS spent more dollars (${\$}$213.60) and a greater proportion (29.4%) of their food budget on FAFH compared with adults with marginal, low, and very low FS (${\$}$133.00, ${\$}$116.20, ${\$}$103.30 and 21.4%, 19.7%, 20.0%, respectively). Obesity prevalence was highest in adults with low FS (42.9%) and very low FS (41.5%), and lowest in adults with high FS (33.7%). FAFH frequency and BMI were positively associated in adults with high (P < 0.001), marginal (P = 0.025), and low (P = 0.024) FS, but not in adults with very low FS (P = 0.589). CONCLUSIONS: FAFH is frequent in adults regardless of FS status. The positive association between FAFH and BMI is the strongest in adults with high FS, the group with the lowest prevalence of obesity. Conversely, BMI was not associated with FAFH in adults with very low FS, despite their higher prevalence of obesity.

Predictors for extubation failure in COVID-19 patients using a machine learning approach.

INTRODUCTION: Determining the optimal timing for extubation can be challenging in the intensive care. In this study, we aim to identify predictors for extubation failure in critically ill patients with COVID-19. METHODS: We used highly granular data from 3464 adult critically ill COVID patients in the multicenter Dutch Data Warehouse, including demographics, clinical observations, medications, fluid balance, laboratory values, vital signs, and data from life support devices. All intubated patients with at least one extubation attempt were eligible for analysis. Transferred patients, patients admitted for less than 24 h, and patients still admitted at the time of data extraction were excluded. Potential predictors were selected by a team of intensive care physicians. The primary and secondary outcomes were extubation without reintubation or death within the next 7 days and within 48 h, respectively. We trained and validated multiple machine learning algorithms using fivefold nested cross-validation. Predictor importance was estimated using Shapley additive explanations, while cutoff values for the relative probability of failed extubation were estimated through partial dependence plots. RESULTS: A total of 883 patients were included in the model derivation. The reintubation rate was 13.4% within 48 h and 18.9% at day 7, with a mortality rate of 0.6% and 1.0% respectively. The grandient-boost model performed best (area under the curve of 0.70) and was used to calculate predictor importance. Ventilatory characteristics and settings were the most important predictors. More specifically, a controlled mode duration longer than 4 days, a last fraction of inspired oxygen higher than 35%, a mean tidal volume per kg ideal body weight above 8 ml/kg in the day before extubation, and a shorter duration in assisted mode (< 2 days) compared to their median values. Additionally, a higher C-reactive protein and leukocyte count, a lower thrombocyte count, a lower Glasgow coma scale and a lower body mass index compared to their medians were associated with extubation failure. CONCLUSION: The most important predictors for extubation failure in critically ill COVID-19 patients include ventilatory settings, inflammatory parameters, neurological status, and body mass index. These predictors should therefore be routinely captured in electronic health records.

The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of the course of the disease and investigate potential treatment strategies. In this study, we present the Dutch Data Warehouse (DDW), the first multicenter electronic health record (EHR) database with full-admission data from critically ill COVID-19 patients. METHODS: A nation-wide data sharing collaboration was launched at the beginning of the pandemic in March 2020. All hospitals in the Netherlands were asked to participate and share pseudonymized EHR data from adult critically ill COVID-19 patients. Data included patient demographics, clinical observations, administered medication, laboratory determinations, and data from vital sign monitors and life support devices. Data sharing agreements were signed with participating hospitals before any data transfers took place. Data were extracted from the local EHRs with prespecified queries and combined into a staging dataset through an extract-transform-load (ETL) pipeline. In the consecutive processing pipeline, data were mapped to a common concept vocabulary and enriched with derived concepts. Data validation was a continuous process throughout the project. All participating hospitals have access to the DDW. Within legal and ethical boundaries, data are available to clinicians and researchers. RESULTS: Out of the 81 intensive care units in the Netherlands, 66 participated in the collaboration, 47 have signed the data sharing agreement, and 35 have shared their data. Data from 25 hospitals have passed through the ETL and processing pipeline. Currently, 3464 patients are included in the DDW, both from wave 1 and wave 2 in the Netherlands. More than 200 million clinical data points are available. Overall ICU mortality was 24.4%. Respiratory and hemodynamic parameters were most frequently measured throughout a patient's stay. For each patient, all administered medication and their daily fluid balance were available. Missing data are reported for each descriptive. CONCLUSIONS: In this study, we show that EHR data from critically ill COVID-19 patients may be lawfully collected and can be combined into a data warehouse. These initiatives are indispensable to advance medical data science in the field of intensive care medicine.

Urinary polycyclic aromatic hydrocarbons concentrations and hepatitis B antibody serology in the United States (NHANES, 2003-2014).

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs) are environmental contaminants that are hepatotoxic and immunotoxic. PAH exposure may modulate hepatitis B immunology. OBJECTIVE: We used data from 6 cycles of the National Health and Nutrition Examination Survey (2003-2014) to evaluate the associations between urinary PAH metabolites and hepatitis B serology. METHODS: This analysis included individuals who self-reported receiving ≥3 doses of hepatitis B vaccine and urinary PAH metabolites (i.e. 1-napthol, 2-napthol, 3-fluorene, 2-fluorene, 1-phenanthrene, 1-pyrene, and total PAH [sum of all metabolites]). Separate logistic regression models assessed the association between hepatitis B vaccination status (i.e. individuals who were immune due to vaccination or susceptible) and tertiles of urinary PAH. Models were adjusted for age, gender, race/ethnicity, survey cycle, family income to poverty ratio, BMI, country of birth, serum cotinine, and urinary creatinine. RESULTS: Among participants who reported receiving ≥3 doses of vaccine and had no antibodies indicating a history of hepatitis B infection and/or current hepatitis B infection, dose-response relationships were observed where individuals with the lowest odds of serology indicating a response to the hepatitis B vaccine (i.e., anti-HBs+, anti-HBc-, and HBsAg-) were in the highest tertile of 2-Napthol (adjusted Odds Ratio [aOR]: 0.70, 95% confidence interval [CI]: 0.54, 0.91), 3-Napthol (aOR: 0.68, 95% CI: 0.53, 0.87), 2-Fluorene (aOR: 0.61, 95% CI: 0.54, 0.86), 1-Phenanthrene (aOR: 0.79, 95% CI: 0.65, 0.97), 1-Pyrene (aOR): 0.68, 95% CI: 0.55, 0.83), and total PAH (aOR: 0.73, 95% CI: 0.56, 0.95) had the compared to the lowest tertile. CONCLUSION: This cross-sectional study supports a hypothesis that PAH exposures experienced by the general US population may modulate hepatitis B vaccine induced immunity. Given the ubiquity of PAH exposures in the US, additional research is warranted to explore the effects of chronic PAH exposures on hepatitis B related humoral immunity.

Balance and cognitive decline in older adults in the cardiovascular health study.

BACKGROUND: Previous studies have demonstrated an association between gait speed and cognitive function. However, the relationship between balance and cognition remains less well explored. This study examined the cross-sectional and longitudinal relationship of balance and cognitive decline in older adults. METHODS: A cohort of 4,811 adults, aged ≥65 years, participating in the Cardiovascular Health Study was followed for 6 years. Modified Mini-Mental State Examination (3MSE) and Digit Symbol Substitution Test (DSST) were used to measure cognition. Tandem balance measures were used to evaluate balance. Regression models were adjusted for demographics, behavioural and disease factors. RESULTS: Worse balance was independently associated with worse cognition in cross-sectional analysis. Longitudinally, participants aged ≥76 years with poorer balance had a faster rate of decline after adjustment for co-variates: -0.97 points faster decline in 3MSE per year (95% confidence interval (CI): -1.32, -0.63) compared to the participants with good balance. There was no association of balance and change in 3MSE among adults aged <76 years (P value for balance and age interaction < 0.0001). DSST scores reflected -0.21 (95% CI: -0.37, -0.05) points greater decline when adjusted for co-variates. In Cox proportional hazard models, participants with worse balance had a higher risk of being cognitively impaired over the 6 years of follow-up visits (adjusted HR:1.72, 95% CI: 1.30, 2.29). CONCLUSIONS: Future studies should evaluate standing balance as a potential screening technique to identify individuals at risk of cognitive decline. Furthermore, a better understanding of the pathophysiological link between balance and cognition may inform strategies to prevent cognitive decline.

Food security and alternative food acquisition among US low-income households: results from the National Food Acquisition and Purchasing Survey (FoodAPS).

OBJECTIVE: To determine the characteristics of US low-income households that use alternative food acquisition strategies and to examine the association between food security and alternative food acquisition. DESIGN: Cross-sectional analysis. The ten-item Adult Food Security Survey Module was used to determine food security status. Self-reported data were used to determine food acquisition from community food sources, social networks and household food production. SETTING: The National Food Acquisition and Purchasing Survey (FoodAPS), 2012. PARTICIPANTS: The sample consisted of 2534 low-income households (≤185 % of the federal poverty line) in the USA. RESULTS: Households using alternative food acquisition strategies were more likely to have a primary respondent who was non-Hispanic White, born in the USA, and female, and more likely to live in a rural area, have higher income and own a home than households not using alternative acquisition strategies. Very low food security was positively associated with the use of community food sources (aOR = 2·26 (95 % CI 1·15, 4·46)). There was no association between food security and food acquisition from social networks or household food production. CONCLUSIONS: Use of alternative food acquisition strategies varied by specific demographic characteristics among low-income households, suggesting opportunities for outreach and promotion of alternative acquisition strategies in specific subpopulations in the USA. Future research should examine whether quantity and quality of food received from these sources are associated with food security.

Physical Activity, Medical Home, and Health Behavior Counseling Among Adolescents with Special Health Care Needs: NSCH 2016-2017.

OBJECTIVES: Aim 1 was to establish updated prevalence estimates for meeting national physical activity (PA) guidelines among adolescents with and without special healthcare needs (SHCN), 12-17 years old. To identify at-risk subgroups, our sub-aim was to compare the distribution of prevalence estimates across PA levels by SHCN subtypes, and in reference to peers without SHCN. Aim 2 was to examine the association between meeting PA guidelines, having a medical home, and receiving positive health behavior counseling in this population. METHODS: Weighted prevalence estimates for meeting the 2018 National PA Guidelines (inactive, insufficiently active, sufficiently active: guidelines met) were calculated from a secondary analysis of the National Survey of Children's Health 2016-2017 ( n = 16,171, 27% SHCN). Adjusted odds ratios and 95% CIs were estimated from logistic regression models to measure the association between PA, medical home, and postive health behavior counseling. RESULTS: Of adolescents with SHCN, 15% were reported to be meeting PA guidelines compared to 19% of peers without SHCN peers. Among adolescents with a medical home, regardless of SHCN status, those receiving positive health behavior counseling had 1.70 times the adjusted odds of meeting PA guidelines compared to peers without counseling. CONCLUSIONS FOR PRACTICE: Adolescents with and without SHCN were more likely to meet PA guidelines if they had a medical home and received positive health behavior counseling, highlighting the value of comprehensive healthcare practices for PA promotion.

Exploring the Interaction of Disability Status and Childhood Predictors of Physical Activity and Sport Participation: An Exploratory Decision-Tree Analysis.

A secondary data analysis of 33,093 children and adolescents age 6-17 years (12% with disabilities) from a 2016-2017 National Survey of Children's Health nonrepresentative sample aimed to identify (a) unique clusters of sociodemographic characteristics and (b) the relative importance of disability status in predicting participation in daily physical activity (PA) and sports. Exploratory classification tree analyses identified hierarchical predictors of daily PA and sport participation separately. Disability status was not a primary predictor of daily PA. Instead, it emerged in the fifth level after age, sex, body mass index, and income, highlighting the dynamic intersection of disability with sociodemographic factors influencing PA levels. In comparison, disability status was a second-level predictor for sport participation, suggesting that unique factors influencing PA level are likely experienced by disabled children and adolescents. The authors employ an intersectionality lens to critically discuss implications for research in adapted PA.

Evaluating the effects between metal mixtures and serum vaccine antibody concentrations in children: a prospective birth cohort study.

BACKGROUND: Many populations are exposed to arsenic, lead, and manganese. These metals influence immune function. We evaluated the association between exposure to single and multiple metals, including arsenic, lead, and manganese, to humoral immunity as measured by antibody concentrations to diphtheria and tetanus toxoid among vaccinated Bangladeshi children. Additionally, we examined if this association was potentially mediated by nutritional status. METHODS: Antibody concentrations to diphtheria and tetanus were measured in children's serum at age 5 (n = 502). Household drinking water was sampled to quantify arsenic (W-As) and manganese (W-Mn), whereas lead was measured in blood (B-Pb). Exposure samples were taken during pregnancy, toddlerhood, and early childhood. Multiple linear regression models (MLRs) with single or combined metal predictors were used to determine the association with antibody outcomes. MLR results were transformed to units of percent change in outcome per doubling of exposure to improve interpretability. Structural equation models (SEMs) were used to further assess exposure to metal mixtures. SEMs regressed a latent exposure variable (Metals), informed by all measured metal variables (W-As, W-Mn, and B-Pb), on a latent outcome variable (Antibody), informed by measured antibody variables (diphtheria and tetanus). Weight-for-age z-score (WFA) at age 5 was evaluated as a mediator. RESULTS: Diphtheria antibody was negatively associated with W-As during pregnancy in MLR, but associations were attenuated after adjusting for W-Mn and B-Pb (- 2.9% change in diphtheria antibody per doubling in W-As, 95% confidence interval [CI]: - 7%, 1.5%). Conversely, pregnancy levels of B-Pb were positively associated with tetanus antibody, even after adjusting for W-As and W-Mn (13.3%, 95% CI: 1.7%, 26.3%). Overall, null associations were observed between W-Mn and antibody outcomes. Analysis by SEMs showed that the latent Metals mixture was significantly associated with the latent Antibody outcome (ß = - 0.16, 95% CI: - 0.26, - 0.05), but the Metals variable was characterized by positive and negative loadings of W-As and B-Pb, respectively. Sex-stratified MLR and SEM analyses showed W-As and B-Pb associations were exclusive to females. Mediation by WFA was null, indicating Metals only had direct effects on Antibody. CONCLUSIONS: We observed significant modulation of vaccine antibody concentrations among children with pregnancy and early life exposures to drinking water arsenic and blood lead. We found distinct differences by child sex, as only females were susceptible to metal-related modulations in antibody levels. Weight-for-age, a nutritional status proxy, did not mediate the association between the metal mixture and vaccine antibody.

A cross sectional study of urinary phthalates, phenols and perchlorate on thyroid hormones in US adults using structural equation models (NHANES 2007-2008).

BACKGROUND: Biomonitoring data shows that people are exposed to phthalates, phenols and perchlorates. Many of these compounds are endocrine disrupting compounds that affect thyroid hormone levels. Yet the effect of these compounds on thyroid hormone levels are often evaluated individually rather than as a mixture. Our objective was to examine the association between 11 urinary endocrine disrupting compounds and thyroid hormones using structural equation models. METHODS: Using data from the National Health and Nutrition and Examination Survey 2007-2008, we fit a latent variable utilizing urinary measurements of 9 compounds in females (perchlorate, bisphenol A, benzophenone-3, mono-2ethyl5carboxypentyl phthalate, mono-n-butyl phthalate, mono-(3-carboxypropyl) phthalate, mono(2ethyl5hydroxyhexyl) phthalate, mono-benzyl phthalate, and mono-isobutyl phthalate) and 8 compounds in males (without benzophenone-3). The association of the latent variable with serum thyroid hormones (Total T3, Total T4, and Thyroid Stimulating Hormones) was assessed in females (N = 710) and males (N = 850) over the age of 12 controlling for age, race, and urinary creatinine. RESULTS: In males, urinary endocrine disrupting compound levels were negatively associated with thyroxine (ß: -0.19, 95% Confidence Interval (95% CI): -0.31, -0.05). In females, urinary endocrine disrupting compound levels were positively associated with triiodothyronine serum concentrations (ß: 0.09, 95% CI: -0.03, 0.21) however this association was not statistically significant. CONCLUSIONS: This cross-sectional analysis provides additional evidence that environmental exposure to phthalates and phenols is associated with endocrine-related processes. Furthermore, these results suggested sex-specific differences in exposure to endocrine disrupting mixtures, and the exposure-response between endocrine disrupting mixtures and thyroid hormone levels. Specifically, higher exposure to a mixture of endocrine disrupting compounds was associated with lower levels of total T4 in males but not in females. While a structural methodological framework was used to assess these complex relationships, the cross sectional nature of this analysis limits causal inference and further research is needed to determine the clinical significance of these findings.

Trends in urinary arsenic among the U.S. population by drinking water source: Results from the National Health and Nutritional Examinations Survey 2003-2014.

BACKGROUND: In 2001, the United States revised the arsenic maximum contaminant level for public drinking water systems from 50µg/L to 10µg/L. This study aimed to examine temporal trends in urinary arsenic concentrations in the U.S. population from 2003 to 2014 by drinking water source among individuals aged 12 years and older who had no detectable arsenobetaine - a biomarker of arsenic exposure from seafood intake. METHODS: We examined data from 6 consecutive cycles of the National Health and Nutrition Examination Survey (2003-2014; N=5848). Total urinary arsenic (TUA) was calculated by subtracting arsenobetaine's limit of detection and detectable arsenocholine from total arsenic. Additional sensitivity analyses were conducted using a second total urinary arsenic index (TUA2, calculated by adding arsenite, arsenate, monomethylarsonic acid, dimethylarsinic acid). We classified drinking water source using 24-h dietary questionnaire data as community supply (n=3427), well or rain cistern (n=506), and did not drink tap water (n=1060). RESULTS: Geometric means (GM) of survey cycles were calculated from multivariate regression models adjusting for age, gender, race/ethnicity, BMI, income, creatinine, water source, type of water consumed, recent smoking, and consumption of seafood, rice, poultry, and juice. Compared to 2003-2004, adjusted TUA was 35.5% lower in 2013-2014 among the general U.S. POPULATION: Stratified analysis by smoking status indicated that the trend in lower TUA was only consistent among non-smokers. Compared to 2003-2004, lower adjusted TUA was observed in 2013-2014 among non-smoking participants who used community water supplies (1.98 vs 1.16µg/L, p<0.001), well or rain cistern users (1.54 vs 1.28µg/L, p<0.001) and who did not drink tap water (2.24 vs 1.53µg/L, p<0.001). Sensitivity analyses showed consistent results for participants who used a community water supplier and to a lesser extent those who did not drink tap water. However, the sensitivity analysis showed overall exposure stayed the same or was higher among well or rain cistern users. Finally, the greatest decrease in TUA was among participants within the highest exposure percentiles (e.g. 95th percentile had 34% lower TUA in 2013/2014 vs 2003/2004, p<0.001). CONCLUSIONS: Overall, urinary arsenic levels in the U.S. population declined over a 12-year period that encompassed the adoption of the revised Arsenic Rule. The most consistent trends in declining exposure were observed among non-smoking individuals using public community water systems. These results suggest regulation and prevention strategies to reduce arsenic exposures in the U.S. may be succeeding.

Cross sectional association of arsenic and seroprevalence of hepatitis B infection in the United States (NHANES 2003-2014).

BACKGROUND: Arsenic alters immunological parameters including antibody formation and antigen-driven T-cell proliferation. OBJECTIVE: We evaluated the cross-sectional relationship between urinary arsenic and the seroprevalence of hepatitis B (HBV) infection in the United States using data from six pooled cycles of the National Health and Nutrition Examination Survey (2003-2014, N = 12,447). METHODS: Using serological data, participants were classified as susceptible, immune due to vaccination, or immune due to past natural infection. We used multinomial logistic regression to evaluate the association between urinary DMA and HBV classification. A sensitivity analysis using total urinary arsenic (TUA) was also conducted. Both DMA and TUA were adjusted for arsenobetaine using a residual regression method RESULTS: A 1-unit increase in the natural logarithm (ln) of DMA was associated with 40% greater adjusted odds of having immunity due to natural infection compared to being susceptible (Odds Ratio [aOR]: 1.40, 95% Confidence Intervals [CI] 1.15, 1.69), 65% greater odds of having immunity due to a natural infection (aOR: 1.65, 95% CI: 1.34, 2.04) and 18% greater odds of being susceptible (aOR: 1.18, 95% CI: 1.05, 1.33) compared to being immune due to vaccination after adjusting for creatinine, age, sex, race, income, country of birth, BMI, survey cycle, serum cotinine, recent seafood intake, and self-reported HBV immunization status. CONCLUSION: In the U.S. general public, higher urinary arsenic levels were associated with a greater odds of having a serological classification consistent with a past natural hepatitis B infection after adjusting for other risk factors. Additionally, higher urinary arsenic levels were linked to a greater odds of not receiving hepatitis B vaccinations. Given the cross-sectional nature of this analysis, more research is needed to test the hypothesis that environmentally relevant exposure to arsenic modulates host susceptibility to hepatitis B virus.

Patient-Centered Medical Home and Receipt of Part C Early Intervention Among Young CSHCN and Developmental Disabilities Versus Delays: NS-CSHCN 2009-2010.

Objective To determine, among a sample of young CSHCN with developmental conditions, (1) characteristics associated with receipt of both patient-centered medical home (PCMH) and Part C early intervention, (2) the association between each PCMH criterion and receipt of Part C generally, and (3) for CSHCN with disabilities versus delays. Methods Secondary data analysis of the 2009/10 National Survey of CSHCN. Sample included CSHCN (n = 755) birth to 3 years with a developmental disability or delay that affected their function. Adjusted ordinal regression analysis examined characteristics associated with receiving both PCMH and Part C. Stratified adjusted logistic regression examined the association between PCMH criteria and Part C, by disabilities versus delays. Results 19% of our sample received both PCMH and Part C. Black, non-Hispanic children had lower odds [OR 0.44, 95% CI (0.20, 0.97)] and CSHCN with more severe developmental conditions had higher odds [OR 2.13, 95% CI (1.22, 3.17)] of receiving both services. CSHCN with a PCMH were no more likely to be receiving Part C than those without a PCMH [OR 0.85, 95% CI (0.49, 1.49)]. Receiving any one of the PCMH criterion was not associated with receiving Part C, with one exception. Among CSHCN with delays, effective care coordination was associated with lower odds of Part C [OR 0.46, 95% CI (0.21, 0.97)]. Conclusion Concurrent PCMH and Part C access was low for young CSHCN with developmental conditions affecting their function. Given the overlapping mandates for PCMH and Part C, integrated efforts are warranted to identify if lack of concurrent services in fact reflects unmet service needs.

A path analysis of multiple neurotoxic chemicals and cognitive functioning in older US adults (NHANES 1999-2002).

BACKGROUND: Polychlorinated biphenyls (PCBs) and metals (lead and cadmium) are neurotoxic and affect neurobehavioral performance. Yet little is known about the association between exposure to multiple neurotoxic compounds and cognitive functioning in older adults. METHODS: Using data from two consecutive cycles of the National Health and Nutrition and Examination Survey (1999-2002), path analysis was used to simultaneously evaluate the association between whole blood concentrations of 14 neurotoxic compounds and cognitive functioning measured by the Digit Symbol Coding Test of the Weschler Adult Intelligence Scale, 3rd Edition in participants 60-84 years of age (N = 498). Effect modification was assessed for age (above/below the mean) and sex. RESULTS: The final path model fit 5 compounds (i.e. PCB 74, PCB 118, PCB 146, PCB 153, and lead). After controlling for co-exposures and confounders, PCB 146 (ß = -0.16, 95% CI: -0.29, -0.02, p = 0.02) and lead (ß = -0.10, 95% CI: -0.20, -0.006, p = 0.04) were negatively associated with DSC scores in 60-84 year olds. Whereas, PCB 153 was positively associated with DSC scores (ß =0.20, 95% CI: 0.05, 0.35; p = 0.01). CONCLUSIONS: This cross-sectional analysis which controlled for collinear exposure to several neurotoxic compounds demonstrated an association between non-dioxin like polychlorinated biphenyl exposure, specifically PCB 146, and lower cognitive functioning, in older adults. Lead exposure was also weakly associated with lower cognitive functioning. Additional studies are needed to determine the causality of the observed associations.

Regional and temporal trends in blood mercury concentrations and fish consumption in women of child bearing Age in the united states using NHANES data from 1999-2010.

BACKGROUND: The primary route of exposure to methylmercury (MeHg), a known developmental neurotoxicant, is from ingestion of seafood. Since 2004, women of reproductive age in the U.S. have been urged to eat fish and shellfish as part of a healthy diet while selecting species that contain lower levels MeHg. Yet few studies have examined trends in MeHg exposure and fish consumption over time in this group of women with respect to their geographical location in the U.S. METHODS: Data from six consecutive cycles of the National Health and Nutrition Examination Survey (NHANES), 1999-2010 (n = 9597) were used to determine trends in blood mercury for women aged 16-49 residing in different regions in the US, and according to age, race/ethnicity, income level, and fish consumption using geographic variables. RESULTS: Overall, mean blood mercury concentrations differed across survey cycles and mercury concentrations were lower in 2009-2010 compared to 1999-2000. There were regional patterns in fish consumption and blood Hg concentrations with women living in coastal regions having the highest fish consumption in the past 30 days and the highest blood Hg levels compared to women residing inland. CONCLUSIONS: On average, U.S. women of reproductive age were consuming more fish and blood mercury levels were lower in 2009-2010 compared to 1999-2000. However, efforts to encourage healthy fish consumption may need to be tailored to different regions in the U.S. given the observed spatial variability in blood mercury levels.