Research gaps and opportunities in precision nutrition: an NIH workshop report.

Precision nutrition is an emerging concept that aims to develop nutrition recommendations tailored to different people's circumstances and biological characteristics. Responses to dietary change and the resulting health outcomes from consuming different diets may vary significantly between people based on interactions between their genetic backgrounds, physiology, microbiome, underlying health status, behaviors, social influences, and environmental exposures. On 11-12 January 2021, the National Institutes of Health convened a workshop entitled "Precision Nutrition: Research Gaps and Opportunities" to bring together experts to discuss the issues involved in better understanding and addressing precision nutrition. The workshop proceeded in 3 parts: part I covered many aspects of genetics and physiology that mediate the links between nutrient intake and health conditions such as cardiovascular disease, Alzheimer disease, and cancer; part II reviewed potential contributors to interindividual variability in dietary exposures and responses such as baseline nutritional status, circadian rhythm/sleep, environmental exposures, sensory properties of food, stress, inflammation, and the social determinants of health; part III presented the need for systems approaches, with new methods and technologies that can facilitate the study and implementation of precision nutrition, and workforce development needed to create a new generation of researchers. The workshop concluded that much research will be needed before more precise nutrition recommendations can be achieved. This includes better understanding and accounting for variables such as age, sex, ethnicity, medical history, genetics, and social and environmental factors. The advent of new methods and technologies and the availability of considerably more data bring tremendous opportunity. However, the field must proceed with appropriate levels of caution and make sure the factors listed above are all considered, and systems approaches and methods are incorporated. It will be important to develop and train an expanded workforce with the goal of reducing health disparities and improving precision nutritional advice for all Americans.

Systems epidemiology and cancer: A review of the National Institutes of Health extramural grant portfolio 2013-2018.

OBJECTIVES: Systems epidemiology approaches may lead to a better understanding of the complex and dynamic multi-level constellation of contributors to cancer risk and outcomes and help target interventions. This grant portfolio analysis aimed to describe the National Institutes of Health (NIH) and the National Cancer Institute (NCI) investments in systems epidemiology and to identify gaps in the cancer systems epidemiology portfolio. METHODS: The analysis examined grants funded (2013-2018) through seven NIH systems science Funding Opportunity Announcements (FOAs) as well as cancer-specific systems epidemiology grants funded by NCI during that same time. Study characteristics were extracted from the grant abstracts and specific aims and coded. RESULTS: Of the 137 grants awarded under the NIH FOAs, 52 (38%) included systems epidemiology. Only five (4%) were focused on cancer systems epidemiology. The NCI-wide search (N = 453 grants) identified 35 grants (8%) that included cancer systems epidemiology in their specific aims. Most of these grants examined epidemiology and surveillance-based questions (60%); fewer addressed clinical care or clinical trials (37%). Fifty-four percent looked at multiple scales within the individual (e.g., cell, tissue, organ), 49% looked beyond the individual (e.g., individual, community, population), and few (9%) included both. Across all grants examined, the systems epidemiology grants primarily focused on discovery or prediction, rather than on impacts of intervention or policy. CONCLUSIONS: The most notable finding was that grants focused on cancer versus other diseases reflected a small percentage of the portfolio, highlighting the need to encourage more cancer systems epidemiology research. Opportunities include encouraging more multiscale research and continuing the support for broad examination of domains in these studies. Finally, the nascent discipline of systems epidemiology could benefit from the creation of standard terminology and definitions to guide future progress.

Taking Stock of Tobacco Control Program and Policy Science and Impact in the United States.

The 60% decline in the prevalence of cigarette smoking among U.S. adults over the past 50 years represents a significant public health achievement. This decline was steered in part by national, state, and local tobacco control programs and policies, such as public education campaigns; widespread smoke-free air laws; higher cigarette prices that have been driven by large increases in federal, state, and local cigarette excise taxes; and other tobacco control policy and systems-level changes that discourage smoking. Using the MPOWER framework informed by the Centers for Disease Control and Prevention (CDC) Office on Smoking and Health and the World Health Organization (WHO), this paper reviews these accomplishments and identifies gaps in tobacco control policy implementation and additional research needed to extend these historic successes.

National Cancer Institute's leadership role in promoting State and Community Tobacco Control research.

The National Cancer Institute (NCI) has been at the vanguard of funding tobacco control research for decades with major efforts such as the Community Intervention Trial for Smoking Cessation (COMMIT) in 1988 and the American Stop Smoking Intervention Study (ASSIST) in 1991, followed by the Tobacco Research Initiative for State and Community Interventions in 1999. Most recently, in 2011, the NCI launched the State and Community Tobacco Control (SCTC) Research Initiative to address gaps in secondhand smoke policies, tax and pricing policies, mass media countermeasures, community and social norms and tobacco marketing. The initiative supported large scale research projects and time-sensitive ancillary pilot studies in response to expressed needs of state and community partners. This special issue of Tobacco Control showcases exciting findings from the SCTC. In this introductory article, we provide a brief account of NCI's historical commitment to promoting research to inform tobacco control policy.

The promise of intensive longitudinal data capture for behavioral health research.

Advances in technology and the associated cultural norms, especially the advent of the smartphone, offer an unprecedented opportunity to collect data on relevant health behaviors and experiences unobtrusively at a greater frequency and in greater volumes than ever before. This special issue will acquaint the readership of Nicotine and Tobacco Research with the potential for intensive longitudinal data and will illustrate some innovative analytic techniques for addressing research questions associated with this type of complex data. This introductory article will provide a brief history of the analytic techniques for intensive longitudinal data and will point to some resources that support and enable the use of these techniques.

A call to address complexity in prevention science research.

The problems targeted by preventive interventions are often complex, embedded in multiple levels of social and environmental context, and span the developmental lifespan. Despite this appreciation for multiple levels and systems of influence, prevention science has yet to apply analytic approaches that can satisfactorily address the complexities with which it is faced. In this article, we introduce a systems science approach to problem solving and methods especially equipped to handle complex relationships and their evolution over time. Progress in prevention science may be significantly enhanced by applying approaches that can examine a wide array of complex systems interactions among biology, behavior, and environment that jointly yield unique combinations of developmental risk and protective factors and outcomes. To illustrate the potential utility of a systems science approach, we present examples of current prevention research challenges, and propose how to complement traditional methods and augment research objectives by applying systems science methodologies.

Handling missing data in randomized experiments with noncompliance.

Treatment noncompliance and missing outcomes at posttreatment assessments are common problems in field experiments in naturalistic settings. Although the two complications often occur simultaneously, statistical methods that address both complications have not been routinely considered in data analysis practice in the prevention research field. This paper shows that identification and estimation of causal treatment effects considering both noncompliance and missing outcomes can be relatively easily conducted under various missing data assumptions. We review a few assumptions on missing data in the presence of noncompliance, including the latent ignorability proposed by Frangakis and Rubin (Biometrika 86:365-379, 1999), and show how these assumptions can be used in the parametric complier average causal effect (CACE) estimation framework. As an easy way of sensitivity analysis, we propose the use of alternative missing data assumptions, which will provide a range of causal effect estimates. In this way, we are less likely to settle with a possibly biased causal effect estimate based on a single assumption. We demonstrate how alternative missing data assumptions affect identification of causal effects, focusing on the CACE. The data from the Johns Hopkins School Intervention Study (Ialongo et al., Am J Community Psychol 27:599-642, 1999) will be used as an example.

Alcohol risk-reduction skills training in a national fraternity: a randomized intervention trial with longitudinal intent-to-treat analysis.

OBJECTIVE: The potential effectiveness of two group-administered social-skills training interventions for reducing high-risk drinking behavior was evaluated through a prospective randomized intervention trial with 3,406 members of a national college fraternity. METHOD: Ninety eight of 99 chapters of a national fraternity were randomly assigned, within three strata, to receive (1) a 3-hour baseline intervention, (2) the same baseline intervention plus two booster sessions, or (3) assessments only. The current article emphasizes a rigorous intent-to-treat analysis model that compares outcomes among members assigned to receive study interventions (vs assessment-only sites) regardless of whether they actually did receive them; it also includes individuals at intervention sites even if they did not participate. This model allows us to address a social policy issue regarding the effect that introducing such an intervention may have in changing the high-risk normative drinking environment of the fraternity itself. RESULTS: Frequent heavy drinkers (64.2% of members) assigned to either intervention showed significant reductions at a 6-month follow-up in their frequency of drinking, heavy drinking, and drinking to intoxication; plus, they reported consuming fewer drinks overall. At 12 and 18 months postbaseline, these positive outcomes had largely dissipated. Additionally, there was an increase in drinking among lower-risk members 18 months postbaseline, which may be the result of factors other than differential attrition. CONCLUSIONS: Findings suggest that introducing such a brief intervention can effectively reduce risky drinking behavior on a short-term basis in high-risk members of a national fraternity. Future studies may wish to focus on strategies for sustaining positive outcomes for longer, plus would benefit, in general, from learning more about mechanisms of change.

Examining the effects of a national alcohol-free fraternity housing policy.

This investigation examined the effectiveness of an alcohol-free fraternity housing policy on the risky alcohol use of members of a national fraternity (N=718). Comparisons of members in chapters with fraternity housing (FH) and those in chapters without housing (NFH) over time revealed no policy-related effects on measures of alcohol use. Among FH members, comparisons of those who lived in fraternity housing and those who lived in other housing also found no effects. FH members reported that the policy was implemented moderately well; however, it may have shifted alcohol use from fraternity housing to other settings.

What's next for translation research?

The National Institutes of Health (NIH) are under increasing pressure to identify practical, cost-effective interventions, therapies, and medications. Overall, the public health impact could be substantial if effective science-based prevention and treatment programs were implemented on large scales with sufficient fidelity. Yet penetration of even the most successful interventions rarely occurs at a quick pace. Research-to-practice gaps are pervasive throughout various fields of behavioral health and safety. In this article the authors explore factors contributing to the pace of translation and reaffirm that research advances or retreats the progress of scientific discovery as data accumulate in what can be described as a translational research loop that is iterative and bidirectional. They also touch on the challenges inherent in deploying science to the marketplace, and in an attempt to foreshadow what's next for translational efforts, they conclude by offering some ideas about how researchers might more accurately conceptualize "best practices."