Health Economic Evaluation Modeling Shows Potential Health Care Cost Savings with Increased Conformance with Healthy Dietary Patterns among Adults in the United States

The Nigerian Dietary Screening Tool: A Step toward Improved Patient-Clinician Communication in Nigerian Hospitals: A Pilot Implementation Study

Implementing dietary screening tools into clinical practice has been challenging, including in Nigeria. This study evaluated the impact of the Nigerian dietary screening tool (NiDST) on patient-clinician communication and barriers to and facilitators of implementation. A mixed methods approach was used to collect data from patients (n = 151) and clinicians (n = 20) from outpatient clinics in Nigeria. Patients completed the validated 25-item NiDST prior to outpatient consultations. Both patients and clinicians completed the Measurement Instrument for Determinants of Innovations (MIDI) questionnaire to assess implementation determinants post-consultation. Semi-structured interviews were conducted for in-depth feedback. The fidelity of implementation was 92% for NiDST-reported dietary discussion, with a mean completion time of <6 min and an accepted marginal increase in consultation time (<10 min). For clinicians, 25% reported time constraints and their additional nutritional knowledge as barriers, while facilitators of NiDST implementation were the clarity and completeness of the NiDST, clinical relevance and improved patient-clinician communication, as reported by all the clinicians. Over 96% of patients reported the NiDST as quick to complete, with 90.7% reporting self-reflection on dietary intake. This study demonstrated the NiDST's potential to enhance patient-clinician communication and highlighted major facilitators of implementation in clinical practice to improve dietary discussion in Nigeria.

Long-term trends in lifestyle factors among respondents with dyslipidemia in the United States

OBJECTIVES

To explore the long-term trends in unhealthy lifestyle factors and the risk sociodemographic subgroups among people with dyslipidemia.

METHODS

Data extracted from the 1999 to 2018 National Health and Nutrition Examination Survey (NHANES). Lifestyle factors were smoking status, alcohol drinking, obesity, dietary quality, depression, physical activity, and sedentary behavior. A Joinpoint regression model was used to estimate trends in the log-transformed age-standardized prevalence. Multinomial logistic regression models adjusted for age, sex, and race/ethnicity were used to analyze subgroups by sociodemographic factors.

RESULTS

Data for 33,680 respondents were extracted between 1999 and 2018. The prevalence of smoking and poor-quality diet decreased from 1999 to 2018 (P<0.001), while obesity significantly increased (P<0.001). The prevalence of depression marginally increased from 2005 to 2018 (P=0.074). We observed that non-Hispanic Black individuals, Hispanics, males, as well as those with lower family income-to-poverty ratios and education levels, unemployed individuals, or those lacking a spouse/live-in partner, were at elevated risk of unhealthy lifestyle factors when compared to the reference groups.

CONCLUSIONS

Among NHANES respondents from 1999 to 2018 with dyslipidemia, significant reductions in the prevalence of current smoking and poor diet were observed, while the prevalence of obesity was markedly increased. There were sociodemographic differences in the management of lifestyle factors. Further initiatives to encourage people with dyslipidemia are required to reduce potential adverse outcomes.

U.S. food policy to address diet-related chronic disease

Poor diet is the leading cause of mortality in the U.S. due to the direct relationship with diet-related chronic diseases, disproportionally affects underserved communities, and exacerbates health disparities. Evidence-based policy solutions are greatly needed to foster an equitable and climate-smart food system that improves health, nutrition and reduces chronic disease healthcare costs. To directly address epidemic levels of U.S. diet-related chronic diseases and nutritional health disparities, we conducted a policy analysis, prioritized policy options and implementation strategies, and issued final recommendations for bipartisan consideration in the 2023-24 Farm Bill Reauthorization. Actional recommendations include: sugar-sweetened beverage taxation, Supplemental Nutrition Assistance Program (SNAP) fruit and vegetable subsidy expansion, replacement of ultra-processed foods (UPF) with sustainable, diverse, climate-smart agriculture and food purchasing options, and implementing "food is medicine."

"Food Is Medicine" Strategies for Nutrition Security and Cardiometabolic Health Equity: JACC State-of-the-Art Review

"Food Is Medicine" (FIM) represents a spectrum of food-based interventions integrated into health care for patients with specific health conditions and often social needs. Programs include medically tailored meals, groceries, and produce prescriptions, with varying levels of nutrition and culinary education. Supportive advances include expanded care pathways and payment models, e-screening for food and nutrition security, and curricular and accreditation requirements for medical nutrition education. Evidence supports positive effects of FIM on food insecurity, diet quality, glucose control, hypertension, body weight, disease self-management, self-perceived physical and mental health, and cost-effectiveness or cost savings. However, most studies to date are quasiexperimental or pre/post interventions; larger randomized trials are ongoing. New national and local programs and policies are rapidly accelerating FIM within health care. Remaining research gaps require rigorous, iterative evaluation. Successful incorporation of FIM into health care will require multiparty partnerships to assess, optimize, and scale these promising treatments to advance health and health equity.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Impact of Mediterranean Dietary Education on Symptoms for Adults at Risk for Nonalcoholic Fatty Liver Disease

This 2-month quasi-experimental study focused on the impact of education regarding the Mediterranean diet on symptoms for adults who are at risk for nonalcoholic fatty liver disease (NAFLD). The study was conducted on a sample of 28 adults who presented to Pinnacle clinical research for NAFLD screening via a fibroscan. These individuals who are at risk for NAFLD received a single 15-minute one-on-one in person education regarding the Mediterranean diet. The diet encourages fruits, vegetables, whole grains, legumes, nuts, seeds, fish, and olive oil. The results of the study showed that the Mediterranean diet education was associated with significant improvement of abdominal symptoms ( t = 3.34, p = .03), improvement of fatigue symptoms ( t = 5.88, p < .001), and decrease in hepatic steatosis ( t = 5.77, p < .001). Our study suggests that the education on the Mediterranean diet may be associated with improvement of self-reported abdominal symptoms, fatigue, and steatosis score.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Improving Diet Quality in U.S. Adults: A 30-Year Health and Economic Impact Microsimulation

INTRODUCTION

Epidemiologic studies relating health outcomes to dietary patterns captured by diet quality indices have shown better quality scores associated with lower mortality and chronic disease incidence. However, changing chronic disease risk factors only alters population health over time, and initial diet quality systematically varies across the population by sociodemographic status. This study uses microsimulation to examine 30-year impacts of improved diet quality by sociodemographic group.

METHODS

Diet quality across 12 sex-, race/ethnicity-, and education-defined subgroups was estimated from the 2011-2012 National Health and Nutrition Examination Survey. In 2021, the Future Adults (dynamic microsimulation) Model was used to simulate population health and economic outcomes over 30 years for these subgroups and all adults. The modeled pathway was through lowering risk for heart disease by following U.S. Dietary Guidelines.

RESULTS

Diet quality varied across the sociodemographic subgroups, and half of U.S. adults had diet quality that would be classified as poor. Improving U.S. diet quality to that reported for the top 20% in 2 large health professionals' samples could reduce incidence of heart disease by 9.9% (7.6%-13.8% across the 12 sociodemographic groups) after 30 years. Year 30 would also have 37,000 fewer deaths, 694,000 more quality-adjusted life years, and healthcare cost savings of $59.6 billion (2019 U.S. dollars).

CONCLUSIONS

Dynamic microsimulation enables predictions of socially important outcomes of prevention efforts, most of which are many years in the future and beyond the scope of trials. This paper estimates the 30-year population health and economic impact of poor diet quality by sociodemographic group.

The Psychosocial Antecedents of the Adherence to the Mediterranean Diet

OBJECTIVE

Most previous research on the antecedents of healthy food choice has not investigated the links between these antecedents and has focused on specific food choice rather than on an overall diet. In the present study, we tested the plausibility of an integrated theoretical model aiming to explain the role of different psychosocial factors in increasing the intention to adhere to the Mediterranean Diet (MeDiet).

DESIGN AND PARTICIPANTS

A sample of 1940 Italian adults participated in an online survey that measured their attitude and perceived behavioral control (i.e., rational antecedents), subjective norm (i.e., social antecedent), positive and negative anticipated emotions (i.e., emotional antecedents), food choice health and mood motives (i.e., motivational antecedents), past adherence to the MeDiet (i.e., behavioral antecedent), and the intention to adhere to the MeDiet.

RESULTS

Structural Equation Modelling (SEM) analyses confirmed the plausibility of the proposed model. Perceived behavioral control was the strongest rational antecedent of intention, followed by the emotional (i.e., anticipated emotions) and the social (i.e., subjective norm) antecedents. Mediation analysis showed that motivational antecedents had only an indirect impact on intention via emotional antecedents. Finally, multigroup SEM analysis highlighted that past adherence to the MeDiet moderated the hypothesized paths among all the study variables.

CONCLUSIONS

The above findings advance our comprehension of which antecedents public communication might leverage to promote an increase in the adherence to the MeDiet.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Understanding Whole Grain Consumption among Low-Income Older Adults Using the Theory of Planned Behavior

Older adults have low whole grain (WG) intake. This qualitative study used the Theory of Planned Behavior (TPB) to identify low-income older adults' WG beliefs. A convenience sample of 25 low-income adults 60 years and older were interviewed using questions developed based on TPB constructs: behavioral, normative, and control beliefs. Interviews were audio-recorded, transcribed verbatim, cross-checked for consistency, and analyzed using content analysis. Study results revealed that regarding behavioral beliefs, health benefits, taste, and nutrition were WG advantages and sensory qualities, higher cost, and longer cooking time were disadvantages. Regarding normative beliefs, healthcare professionals and family members approved WG intake and those less informed about WGs disapproved. Regarding control beliefs, availability/accessibility, knowledge of WG benefits, and WG cooking skills facilitated WG intake and age-related changes, WG cost, decreased motivation to cook, and low knowledge (label reading) were barriers. Results provide insights for developing programs to increase older adults' WG intake.

A digital dietary assessment tool may help identify malnutrition and nutritional deficiencies in hospitalized patients

Malnutrition is common among hospitalized patients and associated with longer hospital stays, higher rates of rehospitalization, and increased mortality. Validated questionnaires of varying sensitivity and specificity to help identify patients at risk of malnutrition have been developed, but none has been broadly adopted. Tools to identify patients at risk for malnutrition should be quick, inexpensive, easy to administer and use, not require specialized nutrition knowledge, and provide results which can be entered into an electronic medical record; ideally, the tool should be deployed within 24 hours of admission and repeated if warranted. We hypothesize that a novel digital nutrition assessment tool which uses the Diet Quality Photo Navigation (DQPN) method, can help triage hospitalized patients toward further evaluation of nutritional status. We further propose that micronutrient deficiencies may be identified at the same time as malnutrition and that the reimbursement and cost savings from DQPN will prove substantially greater than the combined costs of its use and triggered dietitian consult. Deploying DQPN upon admission will represent an addition to standard hospital intake procedure that is frictionless for patients and health professionals, and one which may be overseen by clerical rather than clinical staff. The digital format of DQPN, which can be integrated into electronic medical records, will facilitate easier tracking and management of nutritional status over the course of hospitalization and post-discharge. To evaluate the hypotheses, DQPN will be deployed in a hospital setting to a group of patients who will also be seen by a registered dietitian to assess the nutritional status of each patient. Receiver operating characteristic curves will determine the point, or criterion, at which maximal true positivity rate and least false positivity rate for a diagnosis of malnutrition and specific nutrient deficiencies align. The study cohort will also be compared to a matched historical cohort to compare total medical spend and reimbursement between the intervention cohort and matched control. Testing of these hypotheses will thus allow for insight into whether DQPN may be used to identify malnutrition and nutrient deficiencies in hospitalized patients and, in so doing, improve patient outcomes, reduce healthcare utilization, and bring financial benefit to hospitals.

Unintended Consequences: Nutritional Impact and Potential Pitfalls of Switching from Animal- to Plant-Based Foods

Consumers are shifting towards plant-based diets, driven by both environmental and health reasons. This has led to the development of new plant-based meat alternatives (PBMAs) that are marketed as being sustainable and good for health. However, it remains unclear whether these novel PBMAs to replace animal foods carry the same established nutritional benefits as traditional plant-based diets based on pulses, legumes and vegetables. We modelled a reference omnivore diet using NHANES 2017–2018 data and compared it to diets that substituted animal products in the reference diet with either traditional or novel plant-based foods to create flexitarian, vegetarian and vegan diets matched for calories and macronutrients. With the exception of the traditional vegan diet, all diets with traditional plant-based substitutes met daily requirements for calcium, potassium, magnesium, phosphorus, zinc, iron and Vitamin B12 and were lower in saturated fat, sodium and sugar than the reference diet. Diets based on novel plant-based substitutes were below daily requirements for calcium, potassium, magnesium, zinc and Vitamin B12 and exceeded the reference diet for saturated fat, sodium and sugar. Much of the recent focus has been on protein quality and quantity, but our case study highlights the risk of unintentionally increasing undesirable nutrients while reducing the overall nutrient density of the diet when less healthy plant-based substitutes are selected. Opportunities exist for PBMA producers to enhance the nutrient profile and diversify the format of future plant-based foods that are marketed as healthy, sustainable alternatives to animal-based products.

Sustainable Diets for Cardiovascular Disease Prevention and Management

PURPOSE OF REVIEW

Healthy dietary patterns are recommended for prevention of cardiovascular disease, which remains the leading cause of morbidity and mortality globally. In this review, we discuss dietary patterns that are not only optimal for CVD prevention and management but also sustainable in maximizing health, environmental, and economic benefits.

RECENT FINDINGS

The growing literature on sustainable diets in the context of environmental sustainability includes subtopics of climate change, land use, biodiversity loss, freshwater use, and reactive nitrogen emissions. Similarly, economic sustainability, beyond the retail cost of food, extends to healthcare costs and the economic costs of environmental destruction related to current agricultural practices and food choices. Dietary patterns that are high in plant foods and low in animal foods could maximize health, environmental, and economic benefits; however, questions remain about how to best promote these patterns to achieve wider adoption in an environmentally and economically sustainable way.

The Impact of RDNs on Non-Communicable Diseases: Proceedings from The State of Food and Nutrition Series Forum

In the United States, nutrition-related morbidities are rising steadily at rates corresponding to increasing overweight and obesity in the population. Such morbidities take huge tolls on personal health and impose high costs on health care systems. In 2019, the Academy of Nutrition and Dietetics (Academy) and the Academy of Nutrition and Dietetics Foundation (Academy Foundation) embarked on a new project titled "The State of Food and Nutrition Series" to demonstrate the value of nutrition interventions led by registered dietitian nutritionists for individuals with the following 3 high-priority non-communicable diseases that affect many in the United States and globally: type 2 diabetes mellitus, chronic kidney disease, and hypertension. Poor nutritional status contributes to disease onset and progression in these non-communicable diseases, and appropriate medical nutrition therapy can prevent or delay worsening and ameliorate poor health outcomes. However, many people who have these conditions do not have access to an registered dietitian nutritionist, and consequently do not receive the nutrition care they need. On February 19-20, 2020 in Arlington, VA, as the first stage in The State of Food and Nutrition Series, the Academy and the Academy Foundation gathered health care policymakers, clinicians, and researchers from across the country for the State of Food and Nutrition Series Forum, where Academy leaders sought input to build a comprehensive research strategy that will quantify the impact of patient access to registered dietitian nutritionist-led nutrition interventions for type 2 diabetes mellitus, chronic kidney disease, and hypertension. This article summarizes the findings of that forum.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Diet quality improvement and 30-year population health and economic outcomes: a microsimulation study

OBJECTIVE

Diets closer aligned with nutritional guidelines could lower the risk of several chronic conditions and improve economic outcomes, such as employment and healthcare costs. However, little is known about the range, order of magnitude and timing of these potential effects.

DESIGN

We used a microsimulation approach to predict US population changes over 30 years in health and economic outcomes that could result from a substantial (but not impossible) improvement in diet quality - an improvement from the third to the fifth quintile of US scores on the Alternate Healthy Eating Index, 2010 version.

SETTING

Risk ratios from the literature for diabetes, heart disease and stroke were used to modify the Future Adult Model (FAM) to simulate outcomes from a higher-quality diet. Model parameter uncertainty was assessed using bootstrap and sensitivity analysis examined the variation in published risk ratios.

PARTICIPANTS

FAM simulates outcomes for the US adult population aged 25 and older.

RESULTS

Improved diet quality initially leads to very small changes in chronic disease prevalence, but these accumulate over time. If diets improved beginning in 2019, after 30 years diabetes prevalence could be reduced by 5·9 million cases (11·5 %), heart disease prevalence by 4·0 million cases (7·2 %) and stroke prevalence by 1·9 million cases (10·3 %). These reductions in disease prevalence would be accompanied that same year by fewer deaths (88 000) and healthcare cost savings of $144·0 billion (2019 USD).

CONCLUSIONS

This microsimulation study suggests that improvements in diet are likely to improve health and economic population outcomes over time.

Prioritized Research for the Prevention, Treatment, and Reversal of Chronic Disease: Recommendations From the Lifestyle Medicine Research Summit

Declining life expectancy and increasing all-cause mortality in the United States have been associated with unhealthy behaviors, socioecological factors, and preventable disease. A growing body of basic science, clinical research, and population health evidence points to the benefits of healthy behaviors, environments and policies to maintain health and prevent, treat, and reverse the root causes of common chronic diseases. Similarly, innovations in research methodologies, standards of evidence, emergence of unique study cohorts, and breakthroughs in data analytics and modeling create new possibilities for producing biomedical knowledge and clinical translation. To understand these advances and inform future directions research, The Lifestyle Medicine Research Summit was convened at the University of Pittsburgh on December 4-5, 2019. The Summit's goal was to review current status and define research priorities in the six core areas of lifestyle medicine: plant-predominant nutrition, physical activity, sleep, stress, addictive behaviors, and positive psychology/social connection. Forty invited subject matter experts (1) reviewed existing knowledge and gaps relating lifestyle behaviors to common chronic diseases, such as cardiovascular disease, diabetes, many cancers, inflammatory- and immune-related disorders and other conditions; and (2) discussed the potential for applying cutting-edge molecular, cellular, epigenetic and emerging science knowledge and computational methodologies, research designs, and study cohorts to accelerate clinical applications across all six domains of lifestyle medicine. Notably, federal health agencies, such as the Department of Defense and Veterans Administration have begun to adopt "whole-person health and performance" models that address these lifestyle and environmental root causes of chronic disease and associated morbidity, mortality, and cost. Recommendations strongly support leveraging emerging research methodologies, systems biology, and computational modeling in order to accelerate effective clinical and population solutions to improve health and reduce societal costs. New and alternative hierarchies of evidence are also be needed in order to assess the quality of evidence and develop evidence-based guidelines on lifestyle medicine. Children and underserved populations were identified as prioritized groups to study. The COVID-19 pandemic, which disproportionately impacts people with chronic diseases that are amenable to effective lifestyle medicine interventions, makes the Summit's findings and recommendations for future research particularly timely and relevant.

Methodological quality of clinical practice guidelines for nutrition and weight gain during pregnancy: a systematic review

CONTEXT

Ensuring a healthy pregnancy and achieving optimal gestational weight gain (GWG) are important for maternal and child health. Nevertheless, the nutritional advice provided during pregnancy is often conflicting, suggesting limited adherence to clinical practice guidelines (CPGs).

OBJECTIVE

The aim of this review was to identify all CPGs on maternal nutrition and GWG and to critically appraise their methodological quality.

DATA SOURCES

The MEDLINE/PubMed, Cochrane, Guidelines International Network, and BMJ Best Practice databases, along with gray literature, were searched from inception until February 2019 for CPGs and consensus, position, and practice papers.

STUDY SELECTION

Clinical practice guidelines published in English and containing advice on maternal nutrition or GWG were eligible.

DATA EXTRACTION

Two authors independently extracted data on items pertaining to maternal nutrition or GWG, and CPGs were appraised using the AGREE II instrument.

RESULTS

Twenty-two CPGs were included. All scored adequately in the "scope" domain, but most were considered inadequate with regard to stakeholder involvement, rigor of development, applicability, and editorial independence. Many CPGs lacked patient or dietician involvement, and more than half did not disclose funding sources or conflicts of interest. Guidance on GWG was based mostly on Institute of Medicine thresholds, while nutrition recommendations appeared scattered and heterogeneous.

CONCLUSION

Despite the importance of maternal nutrition and the plethora of advising bodies publishing relevant guidance, there is room for substantial improvement in terms of development standards and content of nutritional recommendations.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42019120898.

Rapid Diet Assessment Screening Tools for Cardiovascular Disease Risk Reduction Across Healthcare Settings: A Scientific Statement From the American Heart Association

It is critical that diet quality be assessed and discussed at the point of care with clinicians and other members of the healthcare team to reduce the incidence and improve the management of diet-related chronic disease, especially cardiovascular disease. Dietary screening or counseling is not usually a component of routine medical visits. Moreover, numerous barriers exist to the implementation of screening and counseling, including lack of training and knowledge, lack of time, sense of futility, lack of reimbursement, competing demands during the visit, and absence of validated rapid diet screener tools with coupled clinical decision support to identify actionable modifications for improvement. With more widespread use of electronic health records, there is an enormous unmet opportunity to provide evidence-based clinician-delivered dietary guidance using rapid diet screener tools that must be addressed. In this scientific statement from the American Heart Association, we provide rationale for the widespread adoption of rapid diet screener tools in primary care and relevant specialty care prevention settings, discuss the theory- and practice-based criteria of a rapid diet screener tool that supports valid and feasible diet assessment and counseling in clinical settings, review existing tools, and discuss opportunities and challenges for integrating a rapid diet screener tool into clinician workflows through the electronic health record.

Cardiovascular Healthcare Cost Savings Associated with Increased Whole Grains Consumption among Adults in the United States

Little is known about the potential health economic impact of increasing the proportion of total grains consumed as whole grains to align with Dietary Guidelines for Americans (DGA) recommendations. Health economic analysis estimating difference in costs developed using (1) relative risk (RR) estimates between whole grains consumption and outcomes of cardiovascular disease (CVD) and a selected component (coronary heart disease, CHD); (2) estimates of total and whole grains consumption among US adults; and (3) annual direct and indirect medical costs associated with CVD. Using reported RR estimates and assuming a linear relationship, risk reductions per serving of whole grains were calculated and cost savings were estimated from proportional reductions by health outcome. With a 4% reduction in CVD incidence per serving and a daily increase of 2.24 oz-eq of whole grains, one-year direct medical cost savings were estimated at US$21.9 billion (B) (range, US$5.5B to US$38.4B). With this same increase in whole grains and a 5% reduction in CHD incidence per serving, one-year direct medical cost savings were estimated at US$14.0B (US$8.4B to US$22.4B). A modest increase in whole grains of 0.25 oz-eq per day was associated with one-year CVD-related savings of $2.4B (US$0.6B to US$4.3B) and CHD-related savings of US$1.6B (US$0.9B to US$2.5B). Increasing whole grains consumption among US adults to align more closely with DGA recommendations has the potential for substantial healthcare cost savings.

The role of dietary patterns in colorectal cancer: a 2019 update

Introduction: Colorectal cancer (CRC) is a major public health problem, both in terms of incidence and mortality. Lifestyle, particularly diet, plays an important role in the development of this cancer.Areas covered: The aim of the present review was to provide an overview of systematic reviews/meta-analysis published in the last 10 years regarding the association between dietary patterns and CRC risk. Three databases were explored (Pubmed, Scopus, and Web of Science), and 13 articles were finally included. The most common a priori methods used were Healthy Eating Index, Mediterranean diet, and Dietary Inflammatory Index, while factor or principal component analyses, cluster analysis, and reduced rank regression were the most frequent a posteriori methods used. All the studies analyzed in the present review showed that a diet characterized mainly by a high intake of fruits and vegetables and low intake of red and processed meats decreased the risk of CRC.Expert opinion: Important nutritional health campaigns and CRC screening programs are being done across the globe; nevertheless, we believe that those strategies are still inadequate as CRC incidence is increasing worldwide More effort is required at different institutional levels and public health policy advice to help the population shift toward healthier dietary habits.

Dietary assessment can be based on pattern recognition rather than recall

Diet is the leading predictor of health status, including all-cause mortality, in the modern world, yet is rarely measured; whereas virtually every adult in a developed country knows their approximate blood pressure, hardly any knows their objective diet quality. Leading authorities have called for the inclusion of nutrition in every electronic health record as one of the many remedial steps required to give dietary quality the routine attention it warrants. Existing tools to capture dietary intake are based on either real-time journaling or recall. Journaling, or logging, is time and labor intensive. Recall is notoriously unreliable, as humans are notably bad at remembering detail. Even allowing for the challenge of recall, these dietary intake methods are labor and time intensive, and require analysis at the n-of-1 level. We hypothesize that dietary intake assessment can be "reverse engineered"-predicating assessment on the recognition of fully formed dietary patterns-rather than endeavoring to assemble such a representation one food, meal, dish, or day at a time. This pattern recognition-based method offers potential advantages over existing methods, including speed, efficiency, cost, and applicability. We have developed and provisionally tested such a system, and the results thus far support our hypothesis. We are convinced that leveraging pattern recognition to make dietary assessment quick, user-friendly, economical, and scalable can allow for the conversion of dietary quality into a universally measured and routinely managed vital sign. In this paper, we present the supporting case.

Health Care Costs and Savings Associated with Increased Dairy Consumption among Adults in the United States

BACKGROUND

The purpose of this study is to estimate the impact on health care costs if United States (US) adults increased their dairy consumption to meet Dietary Guidelines for Americans (DGA) recommendations.

METHODS

Risk estimates from recent meta-analyses quantifying the association between dairy consumption and health outcomes were combined with the increase in dairy consumption under two scenarios where population mean dairy intakes from the 2015-2016 What We Eat in America were increased to meet the DGA recommendations: (1) according to proportions by type as specified in US Department of Agriculture Food Intake Patterns and (2) assuming the consumption of a single dairy type. The resulting change in risk was combined with published data on annual health care costs to estimate impact on costs. Health care costs were adjusted to account for potential double counting due to overlapping comorbidities of the health outcomes included.

RESULTS

Total dairy consumption among adults in the US was 1.49 cup-equivalents per day (c-eq/day), requiring an increase of 1.51 c-eq/day to meet the DGA recommendation. Annual cost savings of $12.5 billion (B) (range of $2.0B to $25.6B) were estimated based on total dairy consumption resulting from a reduction in stroke, hypertension, type 2 diabetes, and colorectal cancer and an increased risk of Parkinson's disease and prostate cancer. Similar annual cost savings were estimated for an increase in low-fat dairy consumption ($14.1B; range of $0.8B to $27.9B). Among dairy sub-types, an increase of approximately 0.5 c-eq/day of yogurt consumption alone to help meet the DGA recommendations resulted in the highest annual cost savings of $32.5B (range of $16.5B to $52.8B), mostly driven by a reduction in type 2 diabetes.

CONCLUSIONS

Adoption of a dietary pattern with increased dairy consumption among adults in the US to meet DGA recommendations has the potential to provide billions of dollars in savings.

Economic modeling for improved prediction of saving estimates in healthcare costs from consumption of healthy foods: the Mediterranean-style diet case study

Background

By design, existing scenario-based nutrition economics studies on the financial benefits of healthy dietary behaviors generally report uncertainty in inputs and wide ranges of outcome estimates.

Objectives

This modeling exercise aimed to establish precision in prediction of the potential healthcare cost savings that would follow a reduction in the incidence of cardiovascular disease (CVD) consistent with an increase in adherence to a Mediterranean-style diet (MedDiet).

Design

Using a Monte Carlo simulation model on a cost-of-illness analysis assessing MedDiet adherence, CVD incidence reduction, and healthcare cost savings in the United States and Canada, short- and long-term cost savings that are likely to accrue to the American and Canadian healthcare systems were estimated using 20 and 80% increases in MedDiet adherence scenarios.

Results

Increasing percentage of population adhering to a MedDiet by 20% beyond the current adherence level produced annual savings in CVD-related costs of US$8.2 billion (95% confidence interval [CI], $7.5-$8.8 billion) in the United States and Can$0.32 billion (95% CI, $0.29-$0.34 billion) in Canada. An 80% increase in adherence resulted in savings equal to US$31 billion (95% CI, $28.6-$33.3 billion) and Can$1.2 billion (95% CI, $1.11-$1.30 billion) in each respective country.

Conclusion

Computational techniques with stochastic parameter inputs, such as the Monte Carlo simulation, could be an effective way of incorporating variability of modeling parameters in nutrition economics studies for improved precision in estimating the monetary value of healthy eating habits.