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It has been close to six decades since Watson and Crick discovered the structure of DNA and more than ten years since the human genome was decoded. Today, through the collection and analysis of a small blood sample, every baby born in the United States is screened for more than fifty genetic disorders. Though the early detection of these abnormalities can potentially save lives, the test also has a high percentage of false positives—inaccurate results that can take a brutal emotional toll on parents before they are corrected. Now some doctors are questioning whether the benefits of these screenings outweigh the stress and pain they sometimes produce. In Saving Babies?, Stefan Timmermans and Mara Buchbinder evaluate the consequences and benefits of state-mandated newborn screening—and the larger policy questions they raise about the inherent inequalities in American medical care that limit the effectiveness of this potentially lifesaving technology. Drawing on observations and interviews with families, doctors, and policy actors, Timmermans and Buchbinder have given us the first ethnographic study of how parents and geneticists resolve the many uncertainties in screening newborns. Ideal for scholars of medicine, public health, and public policy, this book is destined to become a classic in its field.

The importance of sampling from globally representative populations has been well established in human genomics. In human microbiome research, however, we lack a full understanding of the global distribution of sampling in research studies. This information is crucial to better understand global patterns of microbiome-associated diseases and to extend the health benefits of this research to all populations. Here, we analyze the country of origin of all 444,829 human microbiome samples that are available from the world’s 3 largest genomic data repositories, including the Sequence Read Archive (SRA). The samples are from 2,592 studies of 19 body sites, including 220,017 samples of the gut microbiome. We show that more than 71% of samples with a known origin come from Europe, the United States, and Canada, including 46.8% from the US alone, despite the country representing only 4.3% of the global population. We also find that central and southern Asia is the most underrepresented region: Countries such as India, Pakistan, and Bangladesh account for more than a quarter of the world population but make up only 1.8% of human microbiome samples. These results demonstrate a critical need to ensure more global representation of participants in microbiome studies.

Interest in telehealth assessment for autism has increased due to COVID-19 and subsequent expansion of remote psychological services, though options that are easy for clinicians to adopt and available through the lifespan are limited. The Brief Observation of Symptoms of Autism (BOSA) provides a social context with standardized materials and activities that can be coded by clinicians trained in the Autism Diagnostic Observation Schedule. The current project examined psychometric properties to determine optimal use for each BOSA version. Three hundred and seven participants with 453 BOSAs were included to determine best performing items for algorithms, validity, sensitivity, specificity, recommended cut-offs, and proposed ranges of concern. While preliminary, the BOSA provides a promising new option for telehealth-administered assessment for autism.

During the COVID-19 pandemic, US schools have been encouraged to take a layered approach to prevention, incorporating multiple strategies to curb transmission of SARS-CoV-2. Using survey data representative of US public K-12 schools (N = 437), we determined prevalence estimates of COVID-19 prevention strategies early in the 2021-22 school year and describe disparities in implementing strategies by school characteristics. Prevalence of prevention strategies ranged from 9.3% (offered COVID-19 screening testing to students and staff) to 95.1% (had a school-based system to report COVID-19 outcomes). Schools with a full-time school nurse or school-based health center had significantly higher odds of implementing several strategies, including those related to COVID-19 vaccination. We identified additional disparities in prevalence of strategies by locale, school level, and poverty. Advancing school health workforce and infrastructure, ensuring schools use available COVID-19 funding effectively, and promoting efforts in schools with the lowest prevalence of infection prevention strategies are needed for pandemic preparedness.

Objectives. We explored the relationship between social isolation and mortality in a nationally representative US sample and compared the predictive power of social isolation with that of traditional clinical risk factors. Methods. We used data on 16 849 adults from the Third National Health and Nutrition Examination Survey and the National Death Index. Predictor variables were 4 social isolation factors and a composite index. Comparison predictors included smoking, obesity, elevated blood pressure, and high cholesterol. Unadjusted Kaplan–Meier tables and Cox proportional hazards regression models controlling for sociodemographic characteristics were used to predict mortality. Results. Socially isolated men and women had worse unadjusted survival curves than less socially isolated individuals. Cox models revealed that social isolation predicted mortality for both genders, as did smoking and high blood pressure. Among men, individual social predictors included being unmarried, participating infrequently in religious activities, and lacking club or organization affiliations; among women, significant predictors were being unmarried, infrequent social contact, and participating infrequently in religious activities. Conclusions. The strength of social isolation as a predictor of mortality is similar to that of well-documented clinical risk factors. Our results suggest the importance of assessing patients’ level of social isolation.

BackgroundColorectal cancer (CRC) and liver cancer are two of the leading causes of cancer death in the United States and persistent disparities in CRC and liver cancer incidence and outcomes exist. Chronic hepatitis C virus (HCV) infection is one of the main contributors to liver cancer. Effective screening for both CRC and HCV exist and are recommended for individuals based upon age, regardless of gender or sex assigned at birth. Recommendations for both screening behaviors have been recently updated. However, screening rates for both CRC and HCV are suboptimal. Targeting adoption of multiple screening behaviors has the potential to reduce cancer mortality and disparities.ObjectiveTo examine psychosocial factors associated with completion of CRC and HCV screenings in order to inform a multi-behavioral educational intervention that pairs CRC and HCV screening information.MethodsA cross-sectional survey was conducted with participants (N = 50) recruited at two community health centers in Florida (United States). Kruskal-Wallis and Fisher’s exact tests were used to examine associations between completion of both CRC and HCV screening, CRC and HCV knowledge, Preventive Health Model constructs (e.g., salience and coherence, response efficacy, social influence), and sociodemographic variables.ResultsMost participants were White (84%), female (56%), insured (80%), and reported a household income of $25,000 or less (53%). 30% reported ever previously completing both CRC and HCV screenings. Prior completion of both screening behaviors was associated with higher educational attainment (p = .014), having health insurance (p = .022), being U.S.-born (p = .043), and higher salience and coherence scores for CRC (p = .040) and HCV (p = .004).ConclusionsFindings demonstrate limited uptake of both CRC and HCV screenings among adults born between 1945 and 1965. Uptake was associated with multiple sociodemographic factors and health beliefs related to salience and coherence. Salience and coherence are modifiable factors associated with completion of both screening tests, suggesting the importance of incorporating these health beliefs in a multi-behavioral cancer education intervention. Additionally, health providers could simultaneously recommend and order CRC and HCV screening to improve uptake among this age cohort.

Background Public health professionals regularly engage faith communities to improve public health. This systematic review characterizes approaches that public health professionals have used to engage faith communities and evaluates them using the Theory of Planned Behavior. It examines engagement regarding vaccination and genetic and genomic healthcare, which have generated significant controversy within religious groups and, for comparison, colorectal cancer screening, which has not. Methods This systematic review followed PRISMA reporting guidelines. We searched 8 online databases (e.g., Medline, Embase, Scopus). Publications in English that reported engaging a faith community on genetics, vaccination, or colorectal cancer screening were included. We screened 13,117 articles and extracted information from 121 articles reporting on 96 distinct projects. Results This review includes 121 articles reporting on 96 distinct projects. 67% of projects took place in the United States. Of these, 73% reported engaging racial or ethnic minorities; only 5% of projects reported engaging primarily White, Christian communities. Only 35% of projects reported addressing religious values that might inform attitudes and beliefs. The majority of publications ( n  = 74; 77.1%) reported primarily engaging faith communities for reasons unrelated to faith. Conclusion Because the Theory of Planned Behavior is widely used and our focus was on faith communities, we expected to see engagement with faith values and beliefs that might inform attitudes toward behaviors or social pressures community members perceive. Fewer than half of the projects reported addressing values or attitudes. There are missed opportunities to engage faith communities on religiously controversial public health initiatives in ways that are most likely to affect health behaviors. Evaluation of the outcomes of such engagement is needed. Trial registration The protocol is registered on Open Science Framework (OSF) at osf.io/r2c9n.

Gentrification in the largest 50 US cities has more than doubled since the 1990s. The process of gentrification can bring about improved neighborhood conditions, reduced rates of crime, and property value increases. At the same time, it can equally foster negative conditions associated with poorer health outcomes, such as disrupted social networks from residential displacement and increases in stress. While neighborhood environment is consistently implicated in health outcomes research, gentrification is rarely conceptualized as a public health issue. Though research on gentrification is growing, empirical studies evaluating the health impacts of gentrification in the US are poorly understood. Here we systematically review US population-based empirical studies examining relationships between gentrification and health. Electronic databases (PubMed, Embase, CINAHL, PsycINFO, Scopus, Web of Science, and Academic Search Complete) were searched using a combination of terms to identify peer-reviewed studies published on or before July 9, 2018, reporting associations between gentrification and health. Study title and abstract screenings were followed by full-text review of all studies meeting the following inclusion criteria of: ≥ 1 quantitative measure of association for a health outcome, within the context of gentrification; peer-reviewed research; located in the US; and English language. Of 8937 studies identified, 6152 underwent title and abstract screening, and 50 studies underwent full-text screening, yielding six studies for review. Gentrification exposure measures and health outcomes examined varied widely. Most studies reported little to no overall association between gentrification and health outcomes; however, gentrification was repeatedly associated with undesirable health effects among Black and economically vulnerable residents. Despite seemingly overall null associations between gentrification and health, evidence suggests that gentrification may negatively impact the health of certain populations, particularly Black and low-income individuals. Complexities inherent in operationalizing gentrification point toward the need for validated measures. Additionally, understanding how gentrification-health associations differ across health endpoints, race/ethnicities, socioeconomic status, and life course can provide insight into whether this process contributes to urban inequality and health disparities. As gentrification occurs across the US, it is important to understand how this process impacts health. While aging cities reinvest in the revitalization of communities, empirical research examining relationships between gentrification and health can help inform policy decisions.

We compared the prevalence of various medical and behavioral co-occurring conditions/symptoms between 4- and 8-year-olds with autism spectrum disorder (ASD) from five sites in the Autism and Developmental Disabilities Monitoring Network during the 2010 survey year, accounting for sociodemographic differences. Over 95% of children had at least one co-occurring condition/symptom. Overall, the prevalence was higher in 8- than 4-year-olds for 67% of co-occurring conditions/symptoms examined. Further, our data suggested that co-occurring conditions/symptoms increased or decreased the age at which children were first evaluated for ASD. Similarly, among the 8-year-olds, the prevalence of most co-occurring conditions/symptoms was higher in children with a previous ASD diagnosis documented in their records. These findings are informative for understanding and screening co-occurring conditions/symptoms in ASD.