The academic health department (AHD) is a partnership between an academic institution and a governmental health agency. These partnerships are meant to provide mutual benefits that include opportunities for student field placements and internships, practice-informed curriculum, and practice-based research. The term academic health department dates back only to 2000, although there are several examples of academic-practice partnerships prior to that date. In addition to AHDs that have been established over the past two decades, other forms of academic-practice engagement provide similar mutual benefits, such as prevention research centers and public health training centers. Current research on AHDs explores how these partnerships matter regarding the outputs, outcomes, and impacts of the units that comprise them. This review also considers the most recent perspectives on how AHDs have responded to the COVID-19 pandemic and how they might advance public health's efforts to address structural racism and promote health equity.
This article reviews the evidence on the impacts of paid family and medical leave (PFML) policies on workers' health, family well-being, and employer outcomes. While an extensive body of research demonstrates the mostly beneficial effects of PFML taken by new parents on infant, child, and parental health, less is known about its impact on employees who need leave to care for older children, adult family members, or elderly relatives. The evidence on employers is similarly limited but indicates that PFML does not impose major burdens on them. Taken together, the evidence suggests that PFML policies are likely to have important short- and long-term benefits for population health, without generating large costs for employers. At thesame time, further research is needed to understand the effects of different policy parameters (e.g., wage replacement rate and leave duration) and of other types of leave beyond parental leave.
Several peer-reviewed papers and reviews have examined the relationship between exposure to air pollution and COVID-19 spread and severity. However, many of the existing reviews on this topic do not extensively present the statistical challenges associated with this field, do not provide comprehensive guidelines for future researchers, and review only the results of a relatively small number of papers. We reviewed 139 papers, 127 of which reported a statistically significant positive association between air pollution and adverse COVID-19 health outcomes. Here, we summarize the evidence, describe the statistical challenges, and make recommendations for future research. To summarize the 139 papers with data from geographical locations around the world, we also present anopen-source data visualization tool that summarizes these studies and allows the research community to contribute evidence as new research papers are published.
Many low-income and minority children in the United States and globally are at risk of poor educational trajectories and, consequently, diminished life courses, because their households and neighborhoods lack resources to adequately support learning and development prior to formal schooling. This review summarizes evidence on center-based early childhood education (ECE) for three- and four-year-olds as a means of assuring school readiness in cognitive and socioemotional skills. While the details of ECE programs merit further research, it is clear that ECE can benefit children, especially those most disadvantaged, with additional societal benefits and positive long-run economic returns. Universal ECE is not a cure-all, and its success requires ongoing alignment with subsequent education and attention to child household and community conditions. Because resource deprivation is concentrated in low-income and minority communities, publicly funded universal ECE can also be a powerful instrument for the promotion of social equity.
Nutrition influences health throughout the life course. Good nutrition increases the probability of good pregnancy outcomes, proper childhood development, and healthy aging, and it lowers the probability of developing common diet-related chronic diseases, including obesity, cardiovascular disease, cancer, and type 2 diabetes. Despite the importance of diet and health, studying these exposures is among the most challenging in population sciences research. US and global food supplies are complex; eating patterns have shifted such that half of meals are eaten away from home, and there are thousands of food ingredients with myriad combinations. These complexities make dietary assessment and links to health challenging both for population sciences research and for public health policy and practice. Furthermore, most studies evaluating nutrition and health usually rely on self-report instruments prone to random and systematic measurement error. Scientific advances involve developing nutritional biomarkers and then applying these biomarkers as stand-alone nutritional exposures or for calibrating self-reports using specialized statistics.
The implementation of primary and secondary preventive strategies is based on the evidence generated by cancer epidemiology, where the identification of risk factors and the description of their prevalence are fundamental to derive estimates on the burden of cancer from different etiologies, typically expressed as the population attributable fraction, which corresponds to the proportion of a cancer that may be prevented by controlling a given risk factor. However, even when cancer finds its etiology in modifiable factors, its prevention through the control of those factors is not always feasible, or it remains suboptimal despite the possibility of reducing the burden. We reviewed selected associations between modifiable risk factors and cancer, including tobacco smoking, occupational exposures, infections, air pollution, alcohol, and diet and obesity, and illustrated examples of both successes and failures in cancer control, underlying how current understanding of the avoidable causes of cancer is incomplete.