Mexican sending region and workplace experience: A preliminary study of agricultural guestworkers in Ohio

This article shares the results of a 2022 survey of male, Mexican H-2A workers in Ohio (n = 267). We describe the demographic profile of this population, including age, years of experience in the program, education level, marital status, and Mexican sending state. We then examine the relationship between sending regions of Mexico and certain workplace outcomes, specifically likelihood of working for a foreign labor contrac­tor, subsector of H-2A labor, and risk of being charged to participate in the program. Findings include a higher risk of predatory recruitment prac­tices for men from Chiapas, Oaxaca, and Guerrero, and a funneling effect towards agriculture (as op­posed to nurseries) for those same states. Intended as exploratory research, the results lay the ground­work for similar projects in other states and suggest a place-based approach for developing improve­ments to the H-2A program

Pedagogical behaviour in pre-service teachers drops with increasing content knowledge

We present the results of a novel study investigating the relationship between pre-service science teachers’ content knowledge and pedagogical behaviour and how these evolve over time. Forty-one pre-service science teachers at the largest teacher education institution in Norway (Oslo Metropolitan University) were tested before and after a 12-hour module on astronomy at the end of the second and final physics course in the Bachelor of Teaching degree. Three free-response questions in the established Norwegian Introductory Astronomy Questionnaire (NIAQ) elicited astronomy knowledge and gave respondents an opportunity to engage in pedagogy. Student responses were analysed along two separate dimensionscontent knowledge and pedagogical behaviour (student-centred vs. teacher-centred)and interpreted in the framework of Pedagogical Content Knowledge (PCK). Overall, we find that the pre-service teachers become more knowledgeable after instruction (responses marked as ‘knowledgeable’ increased from 39% to 61%), even though a significant fraction remain disconcertingly ignorant. More notably, however, the pre-service teachers also displayed a strong trend of becoming less student-centred (from 36% to 11% of responses) as their content knowledge increased, merely stating the correct - or presumed correct - response without showing any concern for the hypothetical students in the question

Knowledge of astronomical scale: Measurement and evaluation

Having an appreciation for astronomical scale is essential for understanding the foundations of astronomy. However, a key obstacle in developing this understanding is the lack of direct ways to acquire this knowledge. Personal experience may even be detrimental, given that our direct experience is of the Earth as something extremely large, whereas stars, for example, appear as tiny pinpricks of light. As a first step to address this issue, it is necessary to assess people’s knowledge of astronomical scale to identify common misconceptions and evaluate the effectiveness of educational interventions. Previous instruments have generally only included a few questions about scale—mostly through multiple choice—limiting the number of objects simultaneously probed to three and often not probing all possible rankings. To measure people’s knowledge of astronomical scale, we developed an instrument that allows for easy collection, analysis and presentation of data ranking multiple astronomical objects. I will present this instrument and the results from three different samples before and after astronomy instruction: middle school students (N = 922), pre-service science teachers (N = 41) and visitors to a public guided astronomy night viewing tour (N > 500)

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case–control study

Background No prior study to our knowledge has examined the joint contribution of a polygenic risk score (PRS), mammographic density (MD), and postmenopausal endogenous hormone levels D all well-confirmed risk factors for invasive breast cancer D to existing breast cancer risk prediction models. Methods and findings We conducted a nested case-control study within the prospective Nurses\u27 Health Study and Nurses\u27 Health Study II including 4,006 cases and 7,874 controls ages 34-70 years up to 1 June 2010. We added a breast cancer PRS using 67 single nucleotide polymorphisms, MD, and circulating testosterone, estrone sulfate, and prolactin levels to existing risk models. We calculated area under the curve (AUC), controlling for age and stratified by menopausal status, for the 5-year absolute risk of invasive breast cancer. We estimated the population distribution of 5-year predicted risks for models with and without biomarkers. For the Gail model, the AUC improved (p-values \u3c 0.001) from 55.9 to 64.1 (8.2 units) in premenopausal women (Gail + PRS + MD), from 55.5 to 66.0 (10.5 units) in postmenopausal women not using hormone therapy (HT) (Gail + PRS + MD + all hormones), and from 58.0 to 64.9 (6.9 units) in postmenopausal women using HT (Gail + PRS + MD + prolactin). For the Rosner-Colditz model, the corresponding AUCs improved (p-values \u3c 0.001) by 5.7, 6.2, and 6.5 units. For estrogen-receptor-positive tumors, among postmenopausal women not using HT, the AUCs improved (p-values \u3c 0.001) by 14.3 units for the Gail model and 7.3 units for the Rosner-Colditz model. Additionally, the percentage of 50-year-old women predicted to be at more than twice 5-year average risk (\u3e= 2.27%) was 0.2% for the Gail model alone and 6.6% for the Gail + PRS + MD + all hormones model. Limitations of our study included the limited racial/ethnic diversity of our cohort, and that general population exposure distributions were unavailable for some risk factors. Conclusions In this study, the addition of PRS, MD, and endogenous hormones substantially improved existing breast cancer risk prediction models. Further studies will be needed to confirm these findings and to determine whether improved risk prediction models have practical value in identifying women at higher risk who would most benefit from chemoprevention, screening, and other risk-reducing strategies

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Effects of an Image-Based Food Label Nudge on Adult Whole Food Purchasing Behaviors

Obesity is linked to poor diet. Choice architecture and nudging provide a potential framework for improving healthful food purchasing choices. Choice architecture is a method from behavioral economics that aims to modify the decision-making environment to encourage beneficial choices (Thaler & Sunstein, 2009). As it pertains to the proposed research, choice architecture involves changing the environmental context of choice to incentivize or promote healthier food choices, including food purchasing behavior. Specifically, it includes “interventions that involve altering the properties or placement of objects or stimuli within micro-environments with the intention of changing health-related behavior” (Hollands et al., 2013, p. 3). Nudges involve changes to the choice architecture of an environment, which for this discussion will be food purchasing environments. A nudge as defined by Thaler and Sunstein (2009) is any aspect of the choice architecture context that alters people’s behavior in a predictable way without forbidding or restricting any options or significantly changing the economic incentives associated with different choices. The use of behavioral nudges could be a beneficial component in the complex process of improving population health by facilitating the selection of whole foods and focusing on changeable aspects of the food environment. The grocery store setting provides an opportunity to influence customers because the majority of purchasing decisions are made in-store. At the grocery store, food labels play a major role in attracting consumer attention to food products as well as providing information that could influence their purchasing decisions. Public health efforts to improve eating behaviors have often relied on health-focused messaging; however, most people prioritize tastiness over healthiness when choosing what to eat. Guided by behavioral economics (e.g., Tucker et al., 2017), nudging is an attempt to influence people’s behavior or judgment in a beneficial way, without compromising freedom of choice. Nudging has potential to bridge the gap between health-focused messaging and consumer purchasing behaviors by adding simple components to choice architecture interventions. In this context, there are two types of nudges that will be investigated: (1) priming and (2) salience and affect. Priming nudges are used to make choices easier, such as making foods more convenient; salience and affect nudges are used to make choices more appealing, such as appetitive or tasty choices. In this study, the effects of a food label that implements salient images of prepared foods to nudge purchasing intentions for whole foods will be examined. The proposed study will examine the influence of appetitive labels placed on whole foods on purchasing intentions of the whole foods in a hypothetical scenario where participants are asked to choose what items they would buy when whole foods are placed alongside processed foods, which is similar to a grocery store environment. Research questions: 1. The overall study objective is to examine the influence of appetitive labels placed on whole foods on purchasing intentions of whole foods in a scenario where participants are asked to choose what items they would purchase alongside processed foods, which is similar to a grocery store environment. 2. Will participants in the experimental condition where they view the appetitive image label for whole foods be more likely to select whole foods compared to the control condition where they will view the control label for whole foods? 3. Examine factors associated with food purchasing behaviors: perceived taste, convenience, healthfulness

Lifting the curtain on the conditions of sexual initiation among youth in Ethiopia

PURPOSE: Deriving accurate estimates of the level of sexual coercion is challenging because of the stigma that is attached to the experience. This study examines the effectiveness of a nonverbal response card method to reduce social desirability bias in reports of the conditions of sexual initiation among youth in southwestern Ethiopia. METHODS: The conditions surrounding sexual initiation are examined using data from a pilot survey and a final survey of youth aged 13 to 24. Half of the respondents in each survey were randomly assigned to a nonverbal response card method for sensitive questions on sexual attitudes and behavior, and the other half of the respondents were assigned to a control group that provided verbal responses. Responses for the two groups to questions regarding the conditions of sexual initiation are compared. RESULTS: Respondents who used the nonverbal response card were more likely to report pressure from friends or a partner, having sex for money or another gain, and rape as conditions of sexual initiation than respondents who provided verbal responses. Among sexually experienced youth, 29.3% of respondents who used the card method reported some form of coercion during sexual initiation compared to 19.4% of respondents who gave verbal responses. CONCLUSIONS: The nonverbal response card provides an effective method for reducing social desirability bias when soliciting responses to sensitive questions in the context of an interviewer-administered survey. The analysis also suggests that coerced sexual initiation is underreported by youth in interviewer-administered surveys that use conventional verbal responses

Need for Improved Timeliness of Reporting on Drug Overdose Fatalities: The HEALing Communities Study

Objective: Timely data on drug overdose deaths can help identify community needs, evaluate the effectiveness of interventions, and allocate resources. We identified variations in death investigation and reporting systems within and between states that affect the timeliness and accuracy of death certificate information. Methods: The HEALing Communities Study (HCS) is a community-engaged, data-driven approach to combating the opioid crisis in 67 communities in 4 states: Kentucky, Massachusetts, New York, and Ohio. HCS conducted a survey of coroners and medical examiners to understand variability in drug overdose death data. We compared survey results in Massachusetts, New York, and Ohio with national data to investigate the completeness of provisional death counts by type of death investigation system. Results: Communities in each HCS state had different ways of collecting and reporting mortality data. Completion of death certificates for drug overdoses ranged from &lt;2 weeks in 23% (7 of 31) of those surveyed to more than 3 months in 10% (3 of 31) of those surveyed. Variabilities in the timeliness of reporting drug overdose deaths were not associated with type of coroner or medical examiner office in each state, urban versus rural setting, or specificity of drug information on the death certificate. Conclusion: Having specific drug information on the death certificate may increase death certificate quality, comparability, and accuracy. We recommend the following: (1) all coroners and medical examiners should be trained on conducting death investigations, interpreting toxicology reports, and completing death certificates; (2) 1 office in each state should oversee all coroners and medical examiners to increase data consistency; and (3) communities should identify and address barriers to timely death certification. </jats:sec