Greater Emotional and Psychological Well-being Are Associated With Reduced Employee Self-report Illness-Related Absenteeism: A Multi-Industry, Cross-sectional Study Conducted During COVID-19 Pandemic.

OBJECTIVE: The purpose of this study is to determine the relationship that emotional, psychological, and social well-being has with self-reported illness-related absenteeism. METHODS: This study examines the relationship between three dimensions of well-being (emotional, psychological, and social) and self-report illness-related absenteeism among 133 workers spanning multiple industries across 16 different companies. This secondary, cross-sectional data were analyzed using multiple linear regression. RESULTS: As hypothesized, emotional well-being and psychological well-being were found to be negatively associated with absenteeism, with emotional well-being being the stronger predictor. Contrary to our hypothesis, we found that social well-being was not associated with absenteeism among workers. CONCLUSIONS: Employee emotional well-being and psychological well-being are associated with self-reported illness-related absenteeism. Future work should explore causal relationships between these constructs.

Ecological Momentary Assessment of Midlife Adults' Daily Stress: Protocol for the Stress Reports in Variable Environments (STRIVE) App Study.

BACKGROUND: Daily stressors are associated with cognitive decline and increased risk of heart disease, depression, and other debilitating chronic illnesses in midlife adults. Daily stressors tend to occur at home or at work and are more frequent in urban versus rural settings. Conversely, spending time in natural environments such as parks or forests, or even viewing nature-themed images in a lab setting, is associated with lower levels of perceived stress and is hypothesized to be a strong stress "buffer," reducing perceived stress even after leaving the natural setting. However, many studies of daily stress have not captured environmental contexts and relied on end-of-day recall instead of in-the-moment data capture. With new technology, these limitations can be addressed to enhance knowledge of the daily stress experience. OBJECTIVE: We propose to use our novel custom-built Stress Reports in Variable Environments (STRIVE) ecological momentary assessment mobile phone app to measure the experience of daily stress of midlife adults in free-living conditions. Using our app to capture data in real time will allow us to determine (1) where and when daily stress occurs for midlife adults, (2) whether midlife adults' daily stressors are linked to certain elements of the built and natural environment, and (3) how ecological momentary assessment measurement of daily stress is similar to and different from a modified version of the popular Daily Inventory of Stressful Events measurement tool that captures end-of-day stress reports (used in the Midlife in the United States [MIDUS] survey). METHODS: We will enroll a total of 150 midlife adults living in greater Indianapolis, Indiana, in this study on a rolling basis for 3-week periods. As those in underrepresented minority groups and low-income areas have previously been found to experience greater levels of stress, we will use stratified sampling to ensure that half of our study sample is composed of underrepresented minorities (eg, Black, American Indian, Hispanic, or Native Pacific Islanders) and approximately one-third of our sample falls within low-, middle-, and high-income brackets. RESULTS: This project is funded by the National Institute on Aging from December 2022 to November 2024. Participant enrollment began in August 2023 and is expected to finish in July 2024. Data will be spatiotemporally analyzed to determine where and when stress occurs for midlife adults. Pictures of stressful environments will be qualitatively analyzed to determine the common elements of stressful environments. Data collected by the STRIVE app will be compared with retrospective Daily Inventory of Stressful Events data. CONCLUSIONS: Completing this study will expand our understanding of midlife adults' experience of stress in free-living conditions and pave the way for data-driven individual and community-based intervention designs to promote health and well-being in midlife adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51845.

Quantifying side effects and caregiver burdens of pediatric pulmonary hypertension therapies.

BACKGROUND AND OBJECTIVES: Pulmonary hypertension (PH) is a rare, but serious disease among children. However, PH has been primarily evaluated among adults. Consequently, treatment therapies have not been fully evaluated among pediatric populations and are used in an 'off label' manner. The purpose of this study was to estimate the side effect profiles of the most commonly prescribed pediatric PH therapies and to understand the burdens placed upon families caring for children living with PH. METHODS: Participants were recruited online through the "Families of children with pulmonary hypertension" Facebook group and asked to complete a survey about PH treatments. RESULTS: A total of 139 parents of a child living with PH completed the survey. Almost all children used ≥ 1 medication to treat PH, with 52% using ≥ 3 medications. The highest average number of side effects was reported by users of Treprostinil, Selexipag and type-5 phosphodiesterase (PDE5) inhibitors. The most common side effects were skin flushing, headache, nasal congestion, joint/muscle pain, and nausea. In terms of accessing care, 81% travel ≥ 20 miles and 68% travel for ≥ 60 min to receive care. CONCLUSIONS: We found an array of treatment combinations employed to mitigate symptoms of PH in children, with a wide range of side effects. We also found a large, unseen economic, emotional, and time burden of caring for a child living with PH. Further research is warranted to understand the clinical implications of these side effects to move towards labeled usage of these therapies rather than post-hoc off-label usage.

Preventative practices and effects of the COVID-19 pandemic on caregivers of children with pediatric pulmonary hypertension.

BACKGROUND: Pulmonary hypertension (PH) is a serious and life-threatening disease characterized by elevated mean arterial pressure and pulmonary vascular resistance. COVID-19 may exacerbate PH, as evidenced by higher mortality rates among those with PH. The objective of this study was to understand the unique burdens that the COVID-19 pandemic has placed upon families of children living with PH. METHODS: Participants were recruited online through the "Families of children with pulmonary hypertension" Facebook group and asked to complete a survey about their experiences during the COVID-19 pandemic. RESULTS: A total of 139 parents/caregivers of children living with PH completed the online survey. Almost all (85.6%) of parents/caregivers had received the COVID-19 vaccine, though only 59.7% reported a willingness to vaccinate their child with PH against COVID-19. Over 75% of parents/caregivers felt that they practiced preventative measures (e.g., wearing a facemask, social distancing, and avoiding gatherings) more than those in the community where they live. They also reported several hardships related to caring for their child with PH during the pandemic such as financial duress, loss of work, and affording treatment costs. CONCLUSIONS: These findings indicate that parents/caregivers of children at higher risk for COVID-19 complications may be more willing to act on clinical recommendations themselves as proxy for protecting those at high risk. The economic, emotional and social impacts of COVID-19 are significantly greater for high-risk individuals.

Modeling annual elevated blood lead levels among children in Maryland in relation to neighborhood deprivation.

Estimating environmental lead exposure using ecologic risk models is an inexpensive strategy to inform public health departments and to develop location-based intervention strategies such as targeted screening and mitigation. Importantly, studies in this area have not assessed temporal and spatio-temporal lead exposure risk trends. Due to lead abatement efforts and targeted screening efforts, it is anticipated that lead exposure risk has decreased over time. However, it is unknown if decreases have occurred, and if the decreases are evenly distributed across neighborhoods. Thus, the purpose of this study was to examine the association between neighborhood deprivation and risk of elevated blood lead levels (EBLLs) in both temporal and spatio-temporal contexts within the US state of Maryland in 2005-2015. To consider the temporal dimension of lead risk, we used a novel extension of Bayesian index models to estimate time-varying neighborhood deprivation indices along with time-varying index effects. The results showed that overall EBLL proportion decreased over time, from a high of 0.11 in 2006 to a low of 0.02 in 2015. The association between neighborhood deprivation and EBLL risk was positive and significant annually, but generally diminished over time. The most important variables in the neighborhood deprivation index were percent of houses built before 1940 and median household income. In summary, using Bayesian index models that can account for both temporal and spatio-temporal contexts is a promising approach to inform public health efforts to remediate lead and focus testing efforts and may be useful in studies in other geographic areas and times.

Secondary School Socioeconomic Status and Athletic Training Practice Characteristics.

CONTEXT: Socioeconomic status (SES) is a significant predictor of morbidity and mortality across health outcomes. Limited information exists on how school SES affects athletic training practice when a certified athletic trainer (AT) is present at secondary schools. OBJECTIVE: To describe contact frequencies and service rates provided by ATs for injuries among secondary school student-athletes and how these differ by school SES. DESIGN: Cross-sectional study. SETTING: The number of athletic training facility (ATF) visit days and AT services were collected from 77 secondary schools. Schools were separated into 3 school SES groups: affluent (n = 31), average (n = 29), and disadvantaged (n = 17). PATIENTS OR OTHER PARTICIPANTS: Secondary school student-athletes who participated in ≥1 of 12 boys' or 11 girls' sports, visited the ATF during the 2014-2015 through 2018-2019 academic years, and received athletic or nonathletic injury care. MAIN OUTCOME MEASURE(S): Contact frequencies were expressed as ATF visit days per injury, AT services per injury, and AT services per ATF visit day. Rates for service type used were expressed as the total count over reported athlete-exposures. RESULTS: The ATs documented 1191 services. Affluent and average SES school communities provided more contact frequencies for injury-related care than did disadvantaged school communities, particularly in AT services per injury (7.10 ± 13.08 versus average: 9.30 ± 11.60 and affluent: 9.40 ± 12.20; P = .020). Affluent school communities supplied greater rates of services in 5 of the 11 service groups reported. No differences were observed among school SES groups in therapeutic exercise. CONCLUSIONS: Our findings reflect that AT practice characteristics may have differed by school SES, but these differences did not appear to result in less medical care. Given the complexity and widespread effects of SES, future investigators should use a complex method to determine SES and aim to identify how SES may affect secondary school student-athletes in ways other than AT practice characteristics.

Aggregate-level Lead Exposure and Child Maltreatment.

The purpose of this study was to examine the possible ecological association between aggregate blood lead levels (BLL) and rates of child maltreatment. To this end, we employed an ecologic study design, analyzing results from 59,645 child BLL tests between the years 1996 and 2007, and 6,640 substantiated maltreatment investigations from 2006 to 2016 in a large Midwest city. Separate Bayesian spatial Poisson conditional autoregressive (CAR) and Bayesian spatial zero-inflated Poisson CAR models were used to predict the occurrence of maltreatment.Bivariate results showed that aggregate rates of maltreatment increased as aggregate BLL increased. Multivariate results showed that medium-exposure BLL census tracts (OR = 1.38) and high-exposure BLL tracts (OR = 1.38) had increased odds of substantiated investigations for any maltreatment compared to low BLL census tracts even after controlling for crime rates, age of the housing stock, and concentrated disadvantage. Our findings, considered with prior research, continue to reveal a confluence of deleterious outcomes in areas where exposure to lead seems elevated. In this case, child maltreatment also appears to represent a macro-level correlate of aggregate lead exposure. Yet our results preclude any causal inference, and further research on the intersection of child maltreatment with environmental toxins is needed to determine if contaminant abatement should be considered as a possible maltreatment prevention strategy.

Sleep Disturbances, Obesity, and Cognitive Function in Childhood: A Mediation Analysis.

BACKGROUND: Childhood cognitive development is influenced by biological and environmental factors. One such factor, obesity, impairs cognitive development and is associated with sleep disturbances. OBJECTIVES: We aimed to examine the mediating role of sleep disturbances on the relation between BMI and cognitive function in children. METHODS: A total of 9951 children aged 9-10 y were included in this cross-sectional study. Children were recruited from the longitudinal ABCD (Adolescent Brain Cognitive Development) Study. Cognitive development was assessed using metrics for fluid, crystallized, and total cognitive function. Mediation analyses were conducted via linear regression modeling, with adjustment for potential confounders (sex, age, ethnicity, household income, parental education, and self-reported physical activity) for each of the 3 outcomes. Mediation significance was determined by bootstrapping. RESULTS: A statistically significant inverse association was found between BMI and total (ß = -0.41, P < 0.001) and fluid (ß = -0.49, P < 0.001) cognition, but not for crystallized cognition. Total sleep disturbances partially mediated the association between BMI and fluid cognition (indirect effect: -0.02, P = 0.002; proportion of the total effect: 0.05, P = 0.002), but no mediation was found in the association between BMI and total cognition. CONCLUSIONS: Sleep disturbances partially mediate the effect of childhood obesity on cognitive function, particularly in fluid cognitions. Future work is necessary to understand the effects of sleep disturbances and obesity on reduced childhood cognition throughout time, predominantly across the life course.

Modeling elevated blood lead level risk across the United States.

Lead exposure adversely affects child health and continues to be a major public health concern in the United States (US). Lead exposure risk has been linked with older housing and households in poverty, but more studies of neighborhood socioeconomic status (SES) and lead exposure risk over large and diverse geographic areas are needed. In this paper, we combined lead test result data over many states for a majority of the US ZIP Codes in order to estimate its association with many SES variables and predict lead exposure risk in all populated ZIP Codes in the US. The methods used for estimation and prediction of lead risk included the Vox lead exposure risk score, random forest, weighted quantile sum (WQS) regression, and a Bayesian SES index model. The results showed that the Bayesian index model had the best overall performance for modeling elevated blood lead level (EBLL) risk and therefore was used to create a lead exposure risk score for US ZIP Codes. There was a statistically significant association between EBLL risk and the SES index and the most important SES variables for explaining EBLL risk were percentage of houses built before 1940 and median home value. When mapping the lead exposure risk scores, there was a clear pattern of elevated risk in the Northeast and Midwest, but areas in the South and Southwest regions of the US also had high risk. In summary, the Bayesian index model was an effective method for modeling EBLL risk associated with neighborhood deprivation while accounting for additional heterogeneity in risk using lead test result data covering a majority of the US. The resulting lead exposure risk score can be used for targeting public health intervention efforts.

Correlates of disparities in syringe return ratios: A cross-sectional study of a syringe services program in New York.

BACKGROUND: Predictors of syringe exchange behavior are critical to informing secondary prevention measures needed to attenuate risk of blood-borne infections among persons who inject drugs (PWID). METHODS: Participants included PWIDs who attended a syringe services program in New York from 2015 to 2017 (n = 1777). We analyzed the syringe return ratio (receipts/returns) with two distinct but related methodological strategies-threshold logistic regression and quantile regression-to identify correlates of disparities in syringe return ratios. RESULTS: The majority of participants were white males negative for HIV (90% white, 63% male, 76% HIV-). Logistic and quantile regression models showed that the correlates of disparate syringe return ratios (i.e., magnitude and directionality of differences) changed across different percentile groups and quantile levels, respectively. At the median threshold, being single, urbanicity, and older age were associated with higher return ratios. Syringe return ratio disparities were more pronounced among subgroups of nontypical PWIDs (with extremely low or high return ratios) especially by urbanicity, race, relationship status, and type of housing. CONCLUSIONS: Irrespective of urbanicity classification, correlates of syringe return ratios such as older age, Black race, single relationship status, and unstable housing appear to be critical to informing targeted secondary prevention initiatives that promote harm reduction behavior.

Resonant inelastic X-ray scattering using a miniature dispersive Rowland refocusing spectrometer.

X-ray absorption spectroscopy (XAS) beamlines worldwide are steadily increasing their emphasis on full photon-in/photon-out spectroscopies, such as resonant inelastic X-ray scattering (RIXS), resonant X-ray emission spectroscopy (RXES) and high energy resolution fluorescence detection XAS (HERFD-XAS). In such cases, each beamline must match the choice of emission spectrometer to the scientific mission of its users. Previous work has recently reported a miniature tender X-ray spectrometer using a dispersive Rowland refocusing (DRR) geometry that functions with high energy resolution even with a large X-ray spot size on the sample [Holden et al. (2017). Rev. Sci. Instrum. 88, 073904]. This instrument has been used in the laboratory in multiple studies of non-resonant X-ray emission spectroscopy using a conventional X-ray tube, though only for preliminary measurements at a low-intensity microfocus synchrotron beamline. This paper reports an extensive study of the performance of a miniature DRR spectrometer at an unfocused wiggler beamline, where the incident monochromatic flux allows for resonant studies which are impossible in the laboratory. The results support the broader use of the present design and also suggest that the DRR method with an unfocused beam could have important applications for materials with low radiation damage thresholds and that would not survive analysis on focused beamlines.

Using multilevel regression with poststratification to obtain regional health estimates from a Facebook-recruited sample.

PURPOSE: We assess the effectiveness of multilevel regression with poststratification (MRP) as a tool to mitigate selection bias from online surveys of small geographical regions. METHODS: We collected self-reported health information from an Internet-based sample of adults residing within the St. Louis, MO, metropolitan area in 2017. We created Bayesian hierarchical models with three sets of predictor variables for each of six common health behaviors and outcomes, with results poststratified using the American Community Survey to estimate region and ZIP Code Tabulation Area-level prevalence. RESULTS: When comparing MRP estimates with a population-based sample as a reference, we found that adjustment using MRP can reduce bias in prevalence estimates and provide estimates for local area prevalence. 14 of 18 adjusted estimates were closer to the benchmark than the unadjusted estimates and MRP using all three covariate sets resulted in better overall agreement with the benchmark compared with the unadjusted estimates. CONCLUSIONS: MRP can improve prevalence estimates from self-selected Internet-based samples, although a nonnegligible amount of bias may remain. Illustrating the utility and limitations of this method will help researchers develop relevant estimates of the local public health burden, helping local health officials better understand and reduce poor health outcomes.

Does exclusion of extreme reporters of energy intake (the "Goldberg cutoffs") reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes.

BACKGROUND: The Goldberg cutoffs are used to decrease bias in self-reported estimates of energy intake (EISR). Whether the cutoffs reduce and eliminate bias when used in regressions of health outcomes has not been assessed. OBJECTIVE: We examined whether applying the Goldberg cutoffs to data used in nutrition studies could reliably reduce or eliminate bias. METHODS: We used data from the Comprehensive Assessment of Long-Term Effects of Reducing Intake of Energy (CALERIE), the Interactive Diet and Activity Tracking in American Association of Retired Persons (IDATA) study, and the National Diet and Nutrition Survey (NDNS). Each data set included EISR, energy intake estimated from doubly labeled water (EIDLW) as a reference method, and health outcomes including baseline anthropometric, biomarker, and behavioral measures and fitness test results. We conducted 3 linear regression analyses using EISR, a plausible EISR based on the Goldberg cutoffs (EIG), and EIDLW as an explanatory variable for each analysis. Regression coefficients were denoted ${\hat{\beta }_{\rm SR}}$, ${\hat{\beta }_{\rm G}}$, and ${\hat{\beta }_{\rm DLW}}$, respectively. Using the jackknife method, bias from ${\hat{\beta }_{\rm SR}}$ compared with ${\hat{\beta }_{\rm DLW}}$ and remaining bias from ${\hat{\beta }_{\rm G}}$ compared with ${\hat{\beta }_{\rm DLW}}$ were estimated. Analyses were repeated using Pearson correlation coefficients. RESULTS: The analyses from CALERIE, IDATA, and NDNS included 218, 349, and 317 individuals, respectively. Using EIG significantly decreased the bias only for a subset of those variables with significant bias: weight (56.1%; 95% CI: 28.5%, 83.7%) and waist circumference (WC) (59.8%; 95% CI: 33.2%, 86.5%) with CALERIE, weight (20.8%; 95% CI: -6.4%, 48.1%) and WC (17.3%; 95% CI: -20.8%, 55.4%) with IDATA, and WC (-9.5%; 95% CI: -72.2%, 53.1%) with NDNS. Furthermore, bias significantly remained even after excluding implausible data for various outcomes. Results obtained with Pearson correlation coefficient analyses were qualitatively consistent. CONCLUSIONS: Some associations between EIG and outcomes remained biased compared with associations between EIDLW and outcomes. Use of the Goldberg cutoffs was not a reliable method for eliminating bias.

Zika knowledge and prevention practices among U.S. travelers: a large cross-sectional survey study.

BACKGROUND: The aim of this study was to investigate what factors predict knowledge about Zika transmission, symptomology, and treatment among U.S. travelers and, additionally, to evaluate how Zika knowledge influences the adoption of personal protective behaviors. METHODS: Data were collected as part of a cross-sectional survey study using a probability-based internet panel of U.S. travelers in June 2017. We ran logistic regression models of factors predicting Zika knowledge (high vs. low) and of knowledge predicting adoption of personal protective measures. RESULTS: We found that traveling to a Zika endemic country and travelers' gender were both significantly predictive of higher Zika knowledge (odds ratio (OR): 1.48, 95% confidence interval (CI): 1.14-1.93 and OR: 1.44, 95% CI: 1.08-1.92), adjusting for age, race, education, income, and trip purpose. Additionally, among travelers to Zika endemic countries, individuals with higher Zika knowledge had significantly higher odds of engaging in preventive behaviors compared to those with lower knowledge. However, few travelers knew about the sexual transmission of Zika and adopted sexual prevention measures. CONCLUSIONS: Our findings suggest that there are gaps in knowledge about the risks and transmission of Zika and travelers with low knowledge are less likely to engage in the appropriate prevention methods. Significantly, few U.S. travelers have knowledge of the sexual transmission of Zika and, accordingly, there is less overall engagement with prevention measures for this transmission mechanism than for vector-borne transmission.

Discovery of an arsenic and mercury co-elevation in the Midwest United States using reference laboratory data.

This study aimed to determine if there is a co-elevation of human blood arsenic and mercury levels in the Midwestern population of the United States (U.S.) and to determine any geographical patterns and variation of arsenic and mercury that may exist in Michigan. 58,800 blood specimens along with associated demographic/geographic data from the contiguous United States were reviewed. Univariate and multivariable logistic regression were used to analyze demographic/geographic variables associated with elevated arsenic concentrations. Furthermore, blood data from patients in Michigan were aggregated to the ZIP code tabulation area (ZCTA) in order to assess geographic variation using spatial regression models. SaTScan software was also used to analyze potential clustering of arsenic and mercury across Michigan ZCTAs. Within the contiguous United States, elevated mercury blood concentrations, older age, female sex, and coastal status were all associated with elevated arsenic blood concentrations (elevated mercury odds ratio (OR) 3.18 (3.04-3.33); female sex OR 1.06 (1.02-1.11); +10 yr age OR 1.12 (1.11-1.14); coastal state OR 1.33 (1.27-1.40). Within the state of Michigan, as with the continuous U.S., elevated mercury blood concentrations and older age were associated with elevated arsenic blood concentrations (elevated mercury OR 2.75 (2.38-3.18); female sex OR 1.06 (0.95-1.19); +10 yr age OR 1.10 (1.06-1.13). Using spatial regression, it was determined that within Michigan, economic inequality (measured via the Gini coefficient) was also associated with elevated concentrations of mercury in the blood. Clinical reference laboratory data, in conjunction with spatial analysis methods, may enhance our understanding of how elemental exposure affects human health and should be considered for studying how environmental contaminants, socioeconomics and geography affect the health of populations.

Bayesian deprivation index models for explaining variation in elevated blood lead levels among children in Maryland.

Lead exposure adversely affects children's health. Exposure in the United States is highest among socioeconomically disadvantaged individuals who disproportionately live in substandard housing. We used Bayesian binomial regression models to estimate a neighborhood deprivation index and its association with elevated blood lead level (EBLL) risk using blood lead level testing data in Maryland census tracts. Our results show the probability of EBLL was spatially structured with high values in Baltimore city and low values in the District of Columbia suburbs and Baltimore suburbs. The association between the neighborhood deprivation index and EBLL risk was statistically significant after accounting for spatial dependence in probability of EBLL. The percent of houses built before 1940, African Americans, and renter occupied housing were the most important variables in the index. Bayesian models provide a flexible one-step approach to modeling risk associated with neighborhood deprivation while accounting for spatially structured and unstructured heterogeneity in risk.

Correlates of Human Papillomavirus Vaccination and Association with HPV-16 and HPV-18 DNA Detection in Young Women.

Background: Despite a reduction in the prevalence of vaccine-preventable types of human papillomavirus (HPV), attributed to increased HPV vaccine uptake, HPV continues to be a major cause of cancer in the United States. Methods: We assessed factors associated with self-reported HPV vaccine uptake, HPV vaccination effectiveness, using DNA testing to assess HPV types 16 and/or 18 (HPV 16/18) positivity, and patterns of HPV vaccination in 375 women aged 21-29 years who were eligible to receive catch-up vaccination, using baseline data collected from March 2012 to December 2014 from a randomized controlled trial evaluating a novel approach to cervical cancer screening. Results: More than half (n = 228, 60.8%) of participants reported receipt of at least one HPV vaccine dose and 16 (4.3%) tested positive for HPV 16/18 at baseline. College-educated participants were four times more likely to have been vaccinated than those reporting high school education or less. 56.5% of HPV-vaccinated participants reported first dose after age 18 and 68.4% after first vaginal intercourse. Women vaccinated after age 18 and women vaccinated after first vaginal intercourse were somewhat more likely to be infected with HPV 16/18 infection compared with women vaccinated earlier, but these associations did not reach statistical significance. Conclusions: HPV vaccination is common among college-educated women in the catch-up population but less common among those without college education. Contrary to current guidelines, catch-up females frequently obtain HPV vaccination after age 18 and first vaginal intercourse. Women without a college education represent an ideal population for targeted HPV vaccination efforts that emphasize vaccination before sexual debut.

Trends in binge drinking and alcohol abstention among adolescents in the US, 2002-2016.

BACKGROUND: Binge drinking accounts for several adverse health, social, legal, and academic outcomes among adolescents. Understanding trends and correlates of binge drinking and alcohol abstention has important implications for policy and programs and was the aim of this study. The current study examined trends in adolescent binge drinking and alcohol abstention by age, gender, and race/ethnicity over a 15-year period. METHODS: Respondents between the ages of 12 and 17 years who participated in the National Survey on Drug Use and Health (NSDUH) between 2002 and 2016 were included in the sample of 258,309. Measures included binge drinking, alcohol abstention, and co-morbid factors (e.g., marijuana, other illicit drugs), and demographic factors. RESULTS: Logistic regression analyses were conducted to examine the significance of trend changes by sub-groups while controlling for co-morbid and demographic factors. Findings indicated that binge drinking decreased substantially among adolescents in the US over the last 15 years. This decrease was shown among all age, gender, and racial/ethnic groups. In 2002, Year 1 of the study, 26% of 17-year-olds reported past-month binge drinking; in 2016, past-month binge drinking dropped to 12%. Findings also indicated comparable increases in the proportion of youth reporting abstention from alcohol consumption across all subgroups. Black youth reported substantially lower levels of binge alcohol use and higher levels of abstention, although the gap between Black, Hispanic and White youth narrowed substantially between 2002 and 2016. CONCLUSION: Study findings are consistent with those of other research showing declines in problem alcohol- use behavior among youth.

Knowledge and perceptions of Zika virus transmission in the community of Puerto Plata, Dominican Republic.

BACKGROUND: Zika virus is associated with increased cases of both microcephaly and Guillain-Barré syndrome. Community knowledge, perceptions and practices to prevent infection with the Zika virus are not well understood, particularly among high risk populations living in resource-poor and Zika-endemic areas. Our objective was to assess knowledge of symptoms, health effects and prevention practices associated with Zika virus in rural communities on the northern coast of the Dominican Republic. METHODS: Study participants were contacted while attending community events such as free medical clinics and invited to be interviewed regarding their knowledge, attitudes, and perceptions of Zika virus using the World Health Organization's Zika survey tool. RESULTS: Of the 75 Dominicans that participated, 33% did not know who could become infected with Zika. In addition, only 40% of respondents were able to identify mosquitoes or sexual transmission as the primary routes of infection though 51% of respondents thought that Zika was an important issue in their community. CONCLUSIONS: This study found that general knowledge regarding the basic risks and transmission of Zika were not well understood among a sample of rural Dominicans. Our findings highlight disparities in knowledge and perception of risk from Zika in rural areas compared to previous studies conducted in the Dominican Republic. Education about the basic risks and transmission of Zika are critically needed in these remote populations to reduce Zika transmission.

Knowledge of the Sexual Transmission of Zika Virus and Preventive Practices Against Zika Virus Among U.S. Travelers.

Individuals are often at increased risk of acquiring infectious disease while traveling. We sought to understand knowledge, attitudes and practices (KAP) regarding Zika virus among travelers from the United States. A total of 1043 study participants were recruited from a probability-based internet panel. Participants self-reported their knowledge of Zika infection and modes of transmission, and identified actions they had taken to prevent Zika infection and transmission including actions to prevent unintentional pregnancy since becoming aware of the Zika virus. Logistic regression was used to model the odds of taking preventive actions against Zika infection with adjustment for potential confounding factors. Knowledge of the sexual transmissibility of Zika virus significantly increased the odds of taking a preventive action against Zika infection, especially condom use or sexual abstention. Participants reported preferences for receiving information about Zika from private doctors and from the Internet. Discrepancies between where travelers seek information about Zika and how they would like to receive information regarding Zika were also found. These findings suggest that improving targeted messaging through online media may increase awareness of the sexual transmissibility of Zika as well as improve health communications with U.S. travelers. Travelers who are unaware of potential disease risks are less likely to adopt personal protective measures to protect themselves and reduce disease spread. Thus, future work should focus on improving communication and providing education to adopt effective prevention strategies while traveling.