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Control of N-nitrosodimethylamine (NDMA) in drinking water could be achieved by removing its precursors as one practical way. Herein, superfine powdered activated carbons with a diameter of about 1 µm (SPACs) were successfully prepared by grinding powdered activated carbon (PAC, D50=24.3 µm) and applied to remove model NDMA precursors, i.e. ranitidine (RAN) and nizatidine (NIZ). Results from grain diameter experiments demonstrated that the absorption velocity increased dramatically with decreasing particle size, and the maximum increase in k2 was 26.8-folds for RAN and 33.4-folds for NIZ. Moreover, kinetic experiments explained that rapid absorption could be attributed to the acceleration of intraparticle diffusion due to the shortening of the diffusion path. Furthermore, performance comparison experiments suggested that the removal of RAN and NIZ (C0=0.5 mg/L) could reach 61.3% and 60%, respectively, within 5 min, when the dosage of SAPC-1.1 (D50=1.1 µm) was merely 5 mg/L, while PAC-24.3 could only eliminate 17.5% and 18.6%. The adsorption isotherm was well defined by Langmuir isotherm model, indicating that the adsorption of RAN/NIZ was a monolayer coverage process. The adsorption of RAN or NIZ by SAPC-1.1 and PAC-24.3 was strongly pH dependent, and high adsorption capacity could be observed under the condition of pH > pka+1. The coexistence of humic acid (HA) had no significant effect on the adsorption performance because RAN/NIZ may be coupled with HA and removed simultaneously. The coexistence of anions had little effect on the adsorption also. This study is expected to provide an alternative strategy for drinking water safety triggered by NDMA.
Subject(s)
Charcoal , Dimethylnitrosamine , Particle Size , Water Pollutants, Chemical , Water Purification , Adsorption , Charcoal/chemistry , Water Pollutants, Chemical/chemistry , Water Purification/methods , Dimethylnitrosamine/chemistry , Kinetics , Models, ChemicalABSTRACT
Human exposure to high concentrations of uranium is a major concern due to the risk of developing numerous internal organ malignancies over time. In addition to the numerous attributes of uranium in the nuclear power industry, the radiological characteristics and chemical toxicity of uranium present a substantial risk to human health. This study aims to evaluate potential negative health impacts associated with the ingestion of uranium through drinking water in the Noida and Greater Noida region within the Gautam Buddha districts of Uttar Pradesh (India), due to extreme industrial revolution in this geological location. The mean concentration of uranium in drinking water of the examined area was estimated to range from 0.23 to 78.21 µg l-1. The hair compartment biokinetic model is used to estimate the retention and radiological doses of uranium in distinct organs and tissues. Studies on time-dependent factors revealed variations in uranium retention, with lower levels observed in the Gastrointestinal Tract (GIT) region and higher levels on cortical bone surfaces causes the skeletal deformities. The kidney, liver, and other soft tissues (OST) exhibited a non-saturation pattern in the retention of uranium via exposure of drinking water. The age-wise non-carcinogenic and carcinogenic doses were estimated for the health hazards studies. The outcome of this study will be useful for water resource management authorities to supply safe potable water to the local residents.
Subject(s)
Drinking Water , Uranium , Water Pollutants, Radioactive , Humans , Uranium/analysis , Uranium/toxicity , Drinking Water/chemistry , India , Water Pollutants, Radioactive/analysis , Water Pollutants, Radioactive/toxicity , Adult , Male , Female , Child , Adolescent , Young Adult , Middle Aged , Child, Preschool , Environmental ExposureABSTRACT
Approximately 23 million U.S. households rely on private wells for drinking water. This study first summarizes drinking water behaviors and perceptions from a large-scale survey of households that rely on private wells in Iowa. Few households test as frequently as recommended by public health experts. Around 40% of households do not regularly test, treat, or avoid their drinking water, suggesting pollution exposure may be widespread among this population. Next, we utilize a randomized control trial to study how nitrate test strips and information about a free, comprehensive water quality testing program influence households' behaviors and perceptions. The intervention significantly increased testing, including high-quality follow-up testing, but had limited statistically detectable impacts on other behaviors and perceptions. Households' willingness to pay for nitrate test kits and testing information exceeds program costs, suggesting that the intervention was welfare-enhancing.
Subject(s)
Water Wells , Iowa , Drinking Water , Humans , Water Quality , Family Characteristics , Water Supply , Nitrates/analysisABSTRACT
SHORT: and ultra-short chain perfluoroalkyl substances (S- and US-PFAS) are alternatives for the long-chain PFAS which have been more regulated over time. They are highly mobile in the environment and can easily reach drinking water sources which can become an important human exposure route. Furthermore, there have been growing concerns about the presence of PFAS in Flanders. Because of this, human exposure to S- and US-PFAS through Flemish drinking water was evaluated in this study. For this purpose, the presence of 2 S-PFAS (PFBS and PFBA) and 5 US-PFAS (PFPrS, PFEtS, TFMS, PFPrA and TFA) was investigated in 47 tap water samples, collected from different Flemish provinces, and 16 bottled waters purchased in Flanders. Out of the 7 target PFAS, 4 (PFBA, PFBS, PFPrS and PFEtS) were detected at concentrations above LOQ in tap water. In bottled water, only TFMS was present above its LOQ. PFAS concentrations in all analyzed water samples ranged from <0.7 to 7.3 ng/L for PFBS, <0.03-15.0 ng/L for TFMS and <0.9-12.0 ng/L for PFBA. PFPrS was only detected once above its LOQ, at 0.6 ng/L. No value could be reported for PFPrA due to high procedural blanks resulting in a high LOQ, nor for TFA due to high matrix effect. No significant differences in PFAS concentrations were seen in tap water among different drinking water companies, provinces, nor between the two types of analyzed bottled water (natural mineral water vs spring water). The use of a commercial carbon filter significantly reduced the median concentrations of the studied compounds in tap water. Finally, it was estimated that the presence of S- and US-PFAS in Flemish drinking water does not pose an immediate threat to human health, as concentrations were at least two orders of magnitude below the available guidance values.
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Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution system (DWDS) remains challenging. Predicting DBPs using readily available water quality parameters can help to understand DBPs associated risks and capture the complex interrelationships between water quality and DBP occurrence. In this study, we collected drinking water samples from a distribution network throughout a year and measured the related water quality parameters (WQPs) and haloacetic acids (HAAs). 12 machine learning (ML) algorithms were evaluated. Random Forest (RF) achieved the best performance (i.e., R2 of 0.78 and RMSE of 7.74) for predicting HAAs concentration. Instead of using cytotoxicity or genotoxicity separately as the surrogate for evaluating toxicity associated with HAAs, we created a health risk index (HRI) that was calculated as the sum of cytotoxicity and genotoxicity of HAAs following the widely used Tic-Tox approach. Similarly, ML models were developed to predict the HRI, and RF model was found to perform the best, obtaining R2 of 0.69 and RMSE of 0.38. To further explore advanced ML approaches, we developed 3 models using uncertainty-based active learning. Our findings revealed that Categorical Boosting Regression (CAT) model developed through active learning substantially outperformed other models, achieving R2 of 0.87 and 0.82 for predicting concentration and the HRI, respectively. Feature importance analysis with the CAT model revealed that temperature, ions (e.g., chloride and nitrate), and DOC concentration in the distribution network had a significant impact on the occurrence of HAAs. Meanwhile, chloride ion, pH, ORP, and free chlorine were found as the most important features for HRI prediction. This study demonstrates that ML has the potential in the prediction of HAA occurrence and toxicity. By identifying key WQPs impacting HAA occurrence and toxicity, this research offers valuable insights for targeted DBP mitigation strategies.
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BACKGROUND: Solitary drinking is a risky drinking pattern associated with increased substance use and psychosocial problems. However, very little is known regarding the associations between drinking alone and broader health status and behaviors. PURPOSE: Accordingly, this study examined the relationship between health metrics and solitary drinking among individuals who currently drink (N = 99, 46.46% female, 88.89% White). METHODS: U.S. participants between 21 and 40 years old were recruited. Measures included self-reported diet, physical activity, sleep, cannabis use, general and solitary alcohol use, and objective anthropomorphic measures (e.g., body mass index [BMI]) using data from both a baseline appointment and 30 days of daily diary responses. Adjusting for general alcohol use, age, and gender, associations at baseline were assessed through regression analyses, while daily data were analyzed via mixed effects models. RESULTS: Several health measures were associated with solitary drinking. Specifically, solitary drinking was related to consuming fewer servings of fruits and vegetables and greater quantities of alcohol based on daily data. Baseline data showed an association between solitary drinking and higher BMIs, poorer sleep quality, greater sugar consumption, and hazardous drinking. CONCLUSIONS: These findings suggest that beyond substance and psychosocial problems associated with solitary drinking, this drinking behavior may be a warning sign for health risks and, subsequently, broader health problems.
Associations between health metrics and lifetime solitary drinking were examined among individuals who currently drink alcohol (N = 99, 46.46% female, 88.89% White). Solitary drinking was related to less fruit and vegetable consumption, greater sugar consumption, more hazardous drinking, poorer sleep quality, and higher body mass index. Findings suggest that solitary drinking may be a warning sign for health risks and, subsequently, broader health problems.
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BACKGROUND AND AIMS: Alcohol use disorder (AUD) is characterized by low levels of engagement with effective treatments. Enhancing awareness of AUD treatments and how to navigate the treatment system is crucial. Many individuals use online sources (e.g. search engines) for answers to health-related questions; web-based results include a mix of high- and low-quality information. Artificial intelligence may improve access to quality health information by providing concise, high-quality responses to complex health-related questions. This study evaluated the quality of ChatGPT-4 responses to AUD-related queries. METHOD: A comprehensive list of 64 AUD-related questions was developed through a combination of Google Trends analysis and expert consultation. ChatGPT-4 was prompted with each question, followed by a request to provide 3-5 peer-reviewed scientific citations supporting each response. Responses were evaluated for whether they were evidence-based, provided a referral and provided supporting documentation. RESULTS: ChatGPT-4 responded to all AUD-related queries, with 92.2% (59/64) of responses being fully evidence-based. Although only 12.5% (8/64) of responses included referrals to external resources, all responses (100%; 5/5) to location-specific ('near me') queries directed individuals to appropriate resources like the NIAAA Treatment Navigator. Most (85.9%; 55/64) responses to the follow-up question provided supporting documentation. CONCLUSIONS: ChatGPT-4 responds to alcohol use disorder-related questions with evidence-based information and supporting documentation. ChatGPT-4 could be promoted as a reasonable resource for those looking online for alcohol use disorder-related information.
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The utilization of biowastes for producing biochar to remove potentially toxic elements from water represents an important pathway for aquatic ecosystem decontamination. Here we explored the significance of thiol-functionalization on sugarcane bagasse biochar (Th/SCB-BC) and rice husk biochar (Th/RH-BC) to enhance arsenite (As(III)) removal capacity from water and compared their efficiency with both pristine biochars (SCB-BC and RH-BC). The maximum As(III) sorption was found on Th/SCB-BC and Th/RH-BC (2.88 and 2.51 mg g-1, respectively) compared to the SCB-BC and RH-BC (1.51 and 1.40 mg g-1). Relatively, a greater percentage of As(III) removal was obtained with Th/SCB-BC and Th/RH-BC (92% and 83%, respectively) at a pH 7 compared to pristine SCB-BC and RH-BC (65% and 55%) at 6 mg L-1 initial As(III) concentration, 2 h contact time and 1 g L-1 sorbent dose. Langmuir (R2 = 0.99) isotherm and pseudo-second-order kinetic (R2 = 0.99) models provided the best fits to As(III) sorption data. Desorption experiments indicated that the regeneration ability of biochars decreased and it was in the order of Th/SCB-BC (88%) > Th/RH-BC (82%) > SCB-BC (77%) > RH-BC (69%) up to three sorption-desorption cycles. Fourier-transform infrared spectroscopy and X-ray photoelectron spectroscopy results demonstrated that the thiol (-S-H) functional groups were successfully grafted on the surface of two biochars and as such contributed to enhance As(III) removal from water. Spectroscopic data indicated that the surface functional moieties, such as -S-H, - OH, - COOH, and C = O were involved to increase As(III) sorption on thiol-functionalized biochars. This study highlights that thiol-grafting on both biochars, notably on SCB-BC, enhanced their ability to remove As(III) from water, which can be used as an effective technique for the treatment of As from drinking water.
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The presence of emerging contaminants (ECs) in drinking water sources is an increasing concern, yet limited data exists on their occurrence and risk in the upper Huaihe River Basin, an important agricultural region in Central China. This study investigated 70 ECs, including pesticide and antibiotics in surface water from drinking water source areas in Nanwan Reservoir along the upper reaches of the Huaihe River Basin to prioritize the ECs based on ecological risk and health risk assessment. A total of 66 ECs were detected in the surface water at least once at the selected 38 sampling sites, with concentrations ranging from 0.04 to 2508 ng/L. Ecological risk assessment using the risk quotient (RQ) method revealed high risks (RQ > 1) from 7 ECs in the dry season and 15 ECs in the wet season, with triazine pesticides as the main contributors. Non-carcinogenic risks were below negligible levels, but carcinogenic risks from neonicotinoid and carbamate pesticides and macrolide antibiotics were concerning for teenagers. Ciprofloxacin exhibited a high level of resistance risk during the wet season. A multi-indicator prioritization approach integrating occurrence, risk, and chemical property data ranked 6 pesticides and 3 antibiotics as priority pollutants. The results highlight EC contamination of drinking water sources in this agriculturally-intensive region and the need for targeted monitoring and management to protect water quality.
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BACKGROUND: With US Centers for Disease Control and Prevention funding, from 2018 to 2022, 4 large healthcare systems (n = 53 health centers across 7 states) serving people of reproductive age trained staff and provided implementation support for alcohol screening and brief intervention (SBI). This cross-site evaluation explores each healthcare system's implementation approach to implement SBI, reduce excessive alcohol use, and prevent prenatal alcohol exposure (PAE) and fetal alcohol spectrum disorders. METHODS: The SBIRT (Screening, Brief Intervention, and Referral to Treatment) Program Matrix framed the multilevel strategies to implement alcohol SBI programs from 2018 to 2022. Qualitative and quantitative data sources examined outcomes, guided by one logic model, through systems-level process data and provider-level performance metrics. Data analyses utilized frequencies and means for quantitative data and themes for qualitative data according to an established framework. RESULTS: Successful approaches within systems included using electronic health records, flexible implementation and workflow protocols, customized training and technical assistance programs, quality assurance feedback loops, and stakeholder buy-in. Centralized management structures were efficient in standardizing implementation across health centers. Decentralized management structures used tailored approaches, enhancing provider/staff SBI acceptance. Across systems, 1259 staff (eg, clinicians, medical assistants) were trained to provide alcohol SBI services and reported pre-post training increases in self-efficacy in performing brief intervention; skills in PAE counseling; and confidence in screening. Fifty-three (48 providing data) health centers implemented alcohol SBI, screening 106 826 patients over the study period with most of the 10 087 patients who screened positive for excessive alcohol use receiving a BI. CONCLUSIONS: Maximizing the use of technology, employing flexibility in program delivery, and institutionalizing processes and protocols improved workflow, efficiency, and program reach. Ongoing partnership and stakeholder communication identify areas for ongoing improvement, engagement, and best practices for sustainability around substance use screening, which are essential with increases in substance use since the pandemic.
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OBJECTIVE: This study aimed to quantify the health and economic impacts of alcohol consumption in Brazil for 2019. STUDY DESIGN: Ecological study using secondary data sources. METHODS: We calculated the disease burden using estimates from the Global Burden of Disease study, which incorporated data from health surveys and hospital records. Costs were estimated based on direct expenses recorded in the Hospital and Outpatient Information System of the Unified Health System, with data by sex, age group, cause, and Federative Units. RESULTS: Alcohol consumption was a necessary cause for 30,355 deaths and approximately 1.69 million disability-adjusted life years in Brazil, representing 2.2% and 2.6% of the national totals, respectively. The impact was more pronounced among men, in the Northeast region and within the 40- to 64-year-old age group. The total costs attributed to these outcomes reached approximately Int$43.1 million, with hospital admissions accounting for 94.16% of these expenses. CONCLUSION: In 2019, alcohol consumption had a significant impact on both the health of Brazilians and the expenses of the health system. As a preventable risk factor, alcohol consumption necessitates effective intersectoral strategies to mitigate its burden.
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OBJECTIVES: Globally, billions of people do not have access to safely managed drinking water and sanitation services. Interventions to improve drinking water, sanitation and hygiene could reduce the incidence of diarrhoea in low- and middle-income countries. This study aimed to investigate the association between these services and the incidence of diarrhoea. STUDY DESIGN: Worldwide, ecological observational study, utilising cross-sectional data. METHODS: Data from the Global Burden of Disease Study 2019 and World Bank were used in this study. Diarrhoeal disease episodes were defined as three or more loose bowel movements within 24 h. Estimated Annual Percentage Change was used to quantify trends in disease incidence over a specific time interval. Quasi-Poisson Generalised Linear Model was introduced to analyse the influence of basic drinking water and sanitation services on the incidence of diarrhoea. Subgroup analyses were carried out to determine potential variations in the incidence of diarrhoeal diseases according to sex, age and sociodemographic index (SDI) region. RESULTS: Between 2000 and 2019, the incidence rate of global diarrhoea remained consistent, with regional variations linked to SDIs. A 1% increase in access to basic drinking water was associated with a 0.41% (95% confidence interval [CI], 0.33%-0.50%) increase in the age-standardised incidence rate of diarrhoea; meanwhile, a 1% increase in sanitation service usage was associated with a 0.47% (95% CI, 0.40%-0.54%) reduction in the age-standardised incidence rate of diarrhoea. The correlation differed across SDI regions. The use of safely managed drinking water was associated with a reduction in diarrhoeal disease rates, but the effect was non-significant in High SDI regions. Higher diarrhoeal disease incidence was seen in younger and older populations. Individuals in the age groups 55-59 years and 10-14 years showed the greatest association of water service usage with diarrhoea, while an increase in sanitation service usage was related to decreased diarrhoea rates in most age groups, excluding children aged 5-14 years. CONCLUSIONS: Emphasising initiatives to enhance water quality, elevate the standards of drinking water safety management, and strengthening related infrastructure development in global health policies and development plans could have a positive impact on overall global health. Such comprehensive interventions have the potential to not only prevent waterborne diseases but also elevate the general health status of societies worldwide.
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BACKGROUND: Prenatal alcohol exposure (PAE) is one of the leading causes of preventable developmental disabilities. A lack of objective screening methods results in an under-recognition of the phenomenon. Phosphatidylethanol (PEth) is a specific ethanol biomarker that reveals alcohol intake up to several weeks after alcohol use. So far, PEth has mostly been a tool for detecting moderate and heavy drinking. With lower PEth cut-offs, revealing even minor prenatal alcohol consumption is possible. We aimed to find out if a sensitive method for PEth analysis would give additional information about PAE and to assess the cut-off value for a positive alcohol result in prenatal screening. METHODS: The study was an observational study of 3000 anonymous blood samples collected from the Helsinki University Hospital Diagnostic Center between June and September 2023. The Finnish Red Cross Blood Service received the samples originally for blood group typing and antibody screening as part of the prenatal blood screening program. We developed a sensitive PEth 16:0/18:1 analysis method using ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) equipment after liquid-liquid extraction of PEth from whole blood. The lower limit of quantification was 1 ng/mL. RESULTS: PEth was ≥2 ng/mL in 5.2% of the cases, ≥8 ng/mL in 2.0%, and ≥20 ng/mL in 1.0%. The detection time of PEth can be several weeks, especially with low PEth concentrations and after heavy alcohol consumption. It remained unknown whether the positive PEth tests resulted from drinking deliberately during pregnancy or before pregnancy recognition. CONCLUSIONS: We suggest adding PEth 16:0/18:1 to a routine prenatal blood screening program with a cut-off of 2 ng/mL-and in positive cases, clinical evaluation and retesting in 2-4 weeks. In clinical settings, information on gestational week and alcohol consumption before pregnancy is relevant and needs to be considered when interpreting low PEth concentrations.
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Given the increasing occurrence of invasive fungal infections and the limited efficacy of modern antifungal medications, it is crucial to disseminate information regarding the potential sources of nosocomial mycoses through the One Health approach. This study investigated the presence and antifungal susceptibility of fungi in biofilm and water samples obtained from the drinking water distribution system (DWDS) of hospitals. The positivity rate for fungi in biofilm and water samples was 41% and 9%, respectively, with Aspergillus species, a significant causative agent of nosocomial mycoses, being the predominant fungi identified. Analysis of antifungal susceptibility test revelead a comparable resistance profile between some isolated species from the DWDS and those reported for certain clinical samples. While further research is required to determine the specific contribution of waterborne fungi to nosocomial fungal infections, our results emphasize the importance of controlling biofilm formation within DWDSs, particularly in high-risk hospital wards.
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OBJECTIVE: Contamination in U.S. public drinking water systems (PWS) is estimated to cause millions of illnesses and billions of dollars in medical expenditures annually. Few prior studies have explored intervention strategies, including environmental enforcement, to reduce estimated health-related exposure disparities (exposure disparity) in PWS, which are driven partially by socioeconomic status (SES), racism, and PWS characteristics. METHOD: This study used a longitudinal measurement method to estimate the annual health-related exposure level (health level) of each PWS in Michigan, based on data from the Enforcement and Compliance Online (ECHO) and U.S. Census Bureau databases. Using a decomposition model with four strategies, we analyzed how eliminating disparities in SES, proportion minority, environmental enforcement, and PWS characteristics across communities would affect adjusted exposure disparities. RESULTS: This study found that adjusted race- and poverty-based exposure disparities have existed since the 1980s but might have decreased in the last one or two decades. PWS characteristics strongly impacted the crude and adjusted exposure disparity. Environmental enforcement, although less effective in minority-concentrated communities, reduced the adjusted race-based exposure disparity by 10%-20% in the 1980s, 8% in the 1990s, and 0.012% in the 2010s. Equalizing the poverty rate distribution reduced the adjusted race-based exposure disparity by 0.72% in the 1980s and 6.8% in the 2010s. However, equalizing racial and ethnic composition distribution increased the adjusted poverty-based exposure disparity in the 2000s. CONCLUSION: These findings indicate that economically disadvantaged or minority-concentrated communities in Michigan disproportionately suffer from poorer PWS quality. Enhanced environmental enforcement, increased household income, PWS investment, and other actions are needed to address these exposure disparities effectively.
Subject(s)
Drinking Water , Humans , Michigan , Health Status Disparities , Water Supply/standards , Social Class , Longitudinal Studies , Socioeconomic Factors , Environmental Exposure/statistics & numerical data , Environmental Exposure/prevention & controlABSTRACT
The aim of the present paper was to give a complete picture on the drinking water contamination by pharmaceutical residues all over the world. For this purpose, a systematic review was carried out for identifying all available research reporting original data resulting by sampling campaign and analysis of "real" drinking water samples to detect pharmaceutical residues. The investigated databases were PubMed, Scopus, and Web of Science. A total of 124 studies were included; among these, 33 did not find target analytes (all below the limit of detection), while the remaining 91 studies reported the presence for one or more compounds, in concentrations ranging from a few units to a few tens of nanograms. The majority of the studies were performed in Europe and the most represented categories were nonsteroidal anti-inflammatory drugs and analgesics. The most common analytical approach used is the preparation and analysis of the samples by solid-phase extraction and chromatography coupled to mass spectrometry. The main implications resulting from our review are the need for (a) further studies aimed to allow more accurate environmental, wildlife, and human health risk assessments and (b) developing integrated policies promoting less environmentally persistent drugs, the reduction of pharmaceuticals in livestock breeding, and the update of wastewater and drinking water treatment plants for a better removal of drugs and their metabolites.
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IMPORTANCE: Incarceration can result in adverse socioeconomic and health consequences for individuals who have been incarcerated; these consequences extend to their children and may have impacts into later adulthood. OBJECTIVE: To examine the association of family member incarceration (FMI) during childhood and smoking and unhealthy drinking behaviors, access to care, and functional status in later adulthood. DESIGN AND PARTICIPANTS: Adults aged 18-64 and ≥ 65 with and without FMI during childhood from 42 states and Washington DC from the 2019-2022 Behavioral Risk Factor Surveillance System. MAIN MEASURES: Having FMI history was defined as "living with anyone during childhood who served time or was sentenced to serve time in a prison, jail, or other correctional facility." Study outcomes included 1) smoking and unhealthy drinking behaviors, 2) access to care (health insurance coverage, care affordability, having a usual source of care, and use of preventive services), and 3) functional status (e.g., having difficulty walking or climbing stairs). KEY RESULTS: After adjusting for demographic characteristics and other adverse childhood experiences, compared to adults without FMI, adults aged 18-64 with FMI were more likely to report any history of smoking or unhealthy drinking (adjusted odds ratio (AOR): 1.19, 95% confidence interval (CI): 1.11-1.28), any access to care problems (AOR: 1.26, 95% CI: 1.12-1.42), and any functional limitations (AOR: 1.18, 95% CI: 1.10-1.28); adults aged ≥ 65 with FMI reported higher likelihood of reporting any smoking or unhealthy drinking behaviors (AOR: 1.23, 95% CI: 1.05-1.43) and impaired functional status (AOR: 1.30, 95% CI: 1.10-1.54). Associations were attenuated after additional adjustment for socioeconomic measures, especially educational attainment, but remained statically significant for multiple outcomes. CONCLUSIONS: FMI during childhood was associated with adverse health-related outcomes for adults of all ages. Developing programs to improve access to education and economic opportunities for adults with FMI may help mitigate the disparities.
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OBJECTIVE: Bisexual women experience disparities in alcohol use outcomes compared to both lesbian and heterosexual women. Bisexual women also experience higher rates of sexual violence (SV) and alcohol use following SV. We examined whether coping drinking motives mediate the link between adult SV severity and alcohol use and whether dimensions of binegativity (i.e., hostility, instability, irresponsibility) moderate the effects of SV. METHOD: The sample consisted of 355 young (ages 18-35) cisgender bisexual women drinkers (Mage=25.8, 84.2% White) recruited via MTurk. Measures included: Sexual Experiences Survey-Short Form Victimization (Koss et al., 2007), Anti-Bisexual Experiences Scale (Brewster & Moradi, 2010), Modified Drinking Motives Questionnaire-Revised (Grant et al., 2007), and Alcohol Use Disorders Identification Test Consumption subscale (Babor et al., 2001). The PROCESS macro for SPSS was used. RESULTS: There was an interaction between SV severity and irresponsibility stereotypes in predicting coping motives. SV severity related to greater coping motives at mean and high, but not low, levels of irresponsibility stereotypes. Indirect effects of SV severity on alcohol use via coping motives were significant at mean and high, but not low, levels of irresponsibility stereotypes. Hostility and instability dimensions of binegativity did not interact with SV severity in predicting coping motives. CONCLUSIONS: Results identified SV severity and irresponsibility stereotypes as compounding experiences that may explain greater alcohol use. Bisexual women exposed to this dimension of binegativity may be particularly vulnerable to drink alcohol to cope with distress following SV. Interventions for alcohol use may be enhanced by helping bisexual women cope with SV-related distress and irresponsibility stereotypes.
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Two-bottle choice home cage drinking is one of the most widely used paradigms to study ethanol consumption in rodents. In its simplest form, animals are provided with access to two drinking bottles, one of which contains regular tap water and the other ethanol, for 24 hr/day with daily intake measured via change in bottle weight over the 24 hr period. Consequently, this approach requires no specialized laboratory equipment. While such ease of implementation is likely the greatest contributor to its widespread adoption by preclinical alcohol researchers, the resolution of drinking data acquired using this approach is limited by the number of times the researcher measures bottle weight (e.g., once daily). However, the desire to examine drinking patterns in the context of overall intake, pharmacological interventions, and neuronal manipulations has prompted the development of home cage lickometer systems that can acquire data at the level of individual licks. Although a number of these systems have been developed recently, the open-source system, LIQ HD, has garnered significant attention in the field for its affordability and user friendliness. Although exciting, this system was designed for use in mice. Here, we review appropriate procedures for standard and lickometer-equipped two-bottle choice home cage drinking. We also introduce methods for adapting the LIQ HD system to rats including hardware modifications to accommodate larger cage size and a redesigned 3D printed bottle holder compatible with standard off-the-shelf drinking bottles. Using this approach, researchers can examine daily drinking patterns in addition to levels of intake in many rats in parallel thereby increasing the resolution of acquired data with minimal investment in additional resources. These methods provide researchers with the flexibility to use either standard bottles or a lickometer-equipped apparatus to interrogate the neurobiological mechanisms underlying alcohol drinking depending on their precise experimental needs.
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BACKGROUND: The United States Environmental Protection Agency (USEPA) regulates over 80 contaminants in community water systems (CWS), including those relevant to infant health outcomes. Multi-cohort analyses of the association between measured prenatal public water contaminant concentrations and infant health outcomes are sparse in the US. OBJECTIVE: Our objectives were to (1) develop Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations for participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and (2) evaluate regional, seasonal, and sociodemographic inequities in contaminant concentrations at the ZCTA-level. The ECHO Cohort harmonizes data from over 69 extant pregnancy and pediatric cohorts across the US. METHODS: We used CWS estimates derived from the USEPA's Six-Year Review 3 (2006-2011) to develop population-weighted, average concentrations for 10 contaminants across 7640 ZCTAs relevant to the ECHO Cohort. We evaluated contaminant distributions, exceedances of regulatory thresholds, and geometric mean ratios (with corresponding percent changes) associated with ZCTA sociodemographic characteristics via spatial lag linear regression models. RESULTS: We observed significant regional variability in contaminant concentrations across the US. ZCTAs were most likely to exceed the maximum contaminant level for arsenic (n = 100, 1.4%) and the health-protective threshold for total trihalomethanes (n = 3584, 64.0%). A 10% higher proportion of residents who were American Indian/Alaskan Native and Hispanic/Latino was associated with higher arsenic (11%, 95% CI: 7%, 15%; and 2%, 95% CI: 0%, 3%, respectively) and uranium (15%, 95% CI: 10%, 21%; and 9%, 95% CI: 6%, 12%, respectively) concentrations. IMPACT: Nationwide epidemiologic analyses evaluating the association between US community water system contaminant concentration estimates and associated adverse birth outcomes in cohort studies are sparse because public water contaminant concentration estimates that can be readily linked to participant addresses are not available. We developed Zip Code Tabulation Area (ZCTA)-level CWS contaminant concentrations that can be linked to participants in the Environmental Influences on Child Health Outcomes (ECHO) Cohort and evaluated regional, seasonal, and sociodemographic inequities in contaminant concentrations for these ZCTAs. Future epidemiologic studies can leverage these CWS exposure estimates in the ECHO Cohort to evaluate associations with relevant infant outcomes.