Establishing or Exaggerating Causality for the Gut Microbiome: Lessons from Human Microbiota-Associated Rodents.

Human diseases are increasingly linked with an altered or "dysbiotic" gut microbiota, but whether such changes are causal, consequential, or bystanders to disease is, for the most part, unresolved. Human microbiota-associated (HMA) rodents have become a cornerstone of microbiome science for addressing causal relationships between altered microbiomes and host pathology. In a systematic review, we found that 95% of published studies (36/38) on HMA rodents reported a transfer of pathological phenotypes to recipient animals, and many extrapolated the findings to make causal inferences to human diseases. We posit that this exceedingly high rate of inter-species transferable pathologies is implausible and overstates the role of the gut microbiome in human disease. We advocate for a more rigorous and critical approach for inferring causality to avoid false concepts and prevent unrealistic expectations that may undermine the credibility of microbiome science and delay its translation.

Molecular Activation of NLRP3 Inflammasome by Particles and Crystals: A Continuing Challenge of Immunology and Toxicology.

Particles and crystals constitute a unique class of toxic agents that humans are constantly exposed to both endogenously and from the environment. Deposition of particulates in the body is associated with a range of diseases and toxicity. The mechanism by which particulates cause disease remains poorly understood due to the lack of mechanistic insights into particle-biological interactions. Recent research has revealed that many particles and crystals activate the NLRP3 inflammasome, an intracellular pattern-recognition receptor. Activated NLRP3 forms a supramolecular complex with an adaptor protein to activate caspase 1, which in turn activates IL-1ß and IL-18 to instigate inflammation. Genetic ablation and pharmacological inhibition of the NLRP3 inflammasome dampen inflammatory responses to particulates. Nonetheless, how particulates activate NLRP3 remains a challenging question. From this perspective, we discuss our current understanding of and progress on revealing the function and mode of action of the NLRP3 inflammasome in mediating adaptive and pathologic responses to particulates in health and disease.

Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system.

Aging in an individual refers to the temporal change, mostly decline, in the body's ability to meet physiological demands. Biological age (BA) is a biomarker of chronological aging and can be used to stratify populations to predict certain age-related chronic diseases. BA can be predicted from biomedical features such as brain MRI, retinal, or facial images, but the inherent heterogeneity in the aging process limits the usefulness of BA predicted from individual body systems. In this paper, we developed a multimodal Transformer-based architecture with cross-attention which was able to combine facial, tongue, and retinal images to estimate BA. We trained our model using facial, tongue, and retinal images from 11,223 healthy subjects and demonstrated that using a fusion of the three image modalities achieved the most accurate BA predictions. We validated our approach on a test population of 2,840 individuals with six chronic diseases and obtained significant difference between chronological age and BA (AgeDiff) than that of healthy subjects. We showed that AgeDiff has the potential to be utilized as a standalone biomarker or conjunctively alongside other known factors for risk stratification and progression prediction of chronic diseases. Our results therefore highlight the feasibility of using multimodal images to estimate and interrogate the aging process.

Food Is Medicine: A Presidential Advisory From the American Heart Association.

Unhealthy diets are a major impediment to achieving a healthier population in the United States. Although there is a relatively clear sense of what constitutes a healthy diet, most of the US population does not eat healthy food at rates consistent with the recommended clinical guidelines. An abundance of barriers, including food and nutrition insecurity, how food is marketed and advertised, access to and affordability of healthy foods, and behavioral challenges such as a focus on immediate versus delayed gratification, stand in the way of healthier dietary patterns for many Americans. Food Is Medicine may be defined as the provision of healthy food resources to prevent, manage, or treat specific clinical conditions in coordination with the health care sector. Although the field has promise, relatively few studies have been conducted with designs that provide strong evidence of associations between Food Is Medicine interventions and health outcomes or health costs. Much work needs to be done to create a stronger body of evidence that convincingly demonstrates the effectiveness and cost-effectiveness of different types of Food Is Medicine interventions. An estimated 90% of the $4.3 trillion annual cost of health care in the United States is spent on medical care for chronic disease. For many of these diseases, diet is a major risk factor, so even modest improvements in diet could have a significant impact. This presidential advisory offers an overview of the state of the field of Food Is Medicine and a road map for a new research initiative that strategically approaches the outstanding questions in the field while prioritizing a human-centered design approach to achieve high rates of patient engagement and sustained behavior change. This will ideally happen in the context of broader efforts to use a health equity-centered approach to enhance the ways in which our food system and related policies support improvements in health.

Cortical Spreading Depolarization in Moyamoya Vasculopathy: A Case Series.

BACKGROUND: Spreading depolarization describes a near-complete electrical discharge with altered local cerebral blood flow. It is described in association with acute and chronic diseases like hemorrhagic stroke or migraine. Moyamoya vasculopathy is a chronic, progressive cerebrovascular disorder leading to cerebral hypoperfusion, hemodynamically insufficient basal collateralization, and increased cortical microvascularization. METHODS: In a prospective case series, we monitored for spontaneous spreading depolarization activity by using intraoperative laser speckle imaging for real-time visualization and measurement of cortical perfusion and cerebrovascular reserve capacity during cerebral revascularization in 4 consecutive patients with moyamoya. RESULTS: Spontaneous spreading depolarization occurrence was documented in a patient with moyamoya before bypass grafting. Interestingly, this patient also exhibited a marked preoperative increase in angiographic collateral vessel formation. CONCLUSIONS: The spontaneous occurrence of SDs in moyamoya vasculopathy could potentially provide an explanation for localized cortical infarction and increased cortical microvascular density in these patients.

Guidelines for in vivo models of developmental programming of cardiovascular disease risk.

Research using animals depends on the generation of offspring for use in experiments or for the maintenance of animal colonies. Although not considered by all, several different factors preceding and during pregnancy, as well as during lactation, can program various characteristics in the offspring. Here, we present the most common models of developmental programming of cardiovascular outcomes, important considerations for study design, and provide guidelines for producing and reporting rigorous and reproducible cardiovascular studies in offspring exposed to normal conditions or developmental insult. These guidelines provide considerations for the selection of the appropriate animal model and factors that should be reported to increase rigor and reproducibility while ensuring transparent reporting of methods and results.

Co-designing care for multimorbidity: a systematic review.

BACKGROUND: The co-design of health care enables patient-centredness by partnering patients, clinicians and other stakeholders together to create services. METHODS: We conducted a systematic review of co-designed health interventions for people living with multimorbidity and assessed (a) their effectiveness in improving health outcomes, (b) the co-design approaches used and (c) barriers and facilitators to the co-design process with people living with multimorbidity. We searched MEDLINE, EMBASE, CINAHL, Scopus and PsycINFO between 2000 and March 2022. Included experimental studies were quality assessed using the Cochrane risk of bias tool (ROB-2 and ROBINS-I). RESULTS: We screened 14,376 reports, with 13 reports meeting the eligibility criteria. Two reported health and well-being outcomes: one randomised clinical trial (n = 134) and one controlled cohort (n = 1933). Outcome measures included quality of life, self-efficacy, well-being, anxiety, depression, functional status, healthcare utilisation and mortality. Outcomes favouring the co-design interventions compared to control were minimal, with only 4 of 17 outcomes considered beneficial. Co-design approaches included needs assessment/ideation (12 of 13), prototype (11 of 13), pilot testing (5 of 13) (i.e. focus on usability) and health and well-being evaluations (2 of 13). Common challenges to the co-design process include poor stakeholder interest, passive participation, power imbalances and a lack of representativeness in the design group. Enablers include flexibility in approach, smaller group work, advocating for stakeholders' views and commitment to the process or decisions made. CONCLUSIONS: In this systematic review of co-design health interventions, we found that few projects assessed health and well-being outcomes, and the observed health and well-being benefits were minimal. The intensity and variability in the co-design approaches were substantial, and challenges were evident. Co-design aided the design of novel services and interventions for those with multimorbidity, improving their relevance, usability and acceptability. However, the clinical benefits of co-designed interventions for those with multimorbidity are unclear.

The relationship of cancer history and chronic disease status to colorectal cancer screening: A cross-sectional analysis of 2020-2021 Behavioral Risk Factor Surveillance System.

PURPOSE: We examined whether having a history of cancer and chronic diseases was associated with guideline-concordant colorectal cancer (CRC) screening utilization. METHODS: Self-reported data from the 2020 and 2021 Behavioral Risk Factor Surveillance System in Oregon and West Virginia were used. Guideline-concordant CRC screening was the outcome of interest. The exposure was having a personal history of cancer, chronic diseases, or both. Multivariable logistic regressions were applied to assess the abovementioned association. RESULTS: Among 10,373 respondents aged 45-75 years, 75.5% of those with a history of cancer and chronic diseases had guideline-concordant CRC screening use versus 52.8% of those without any history (p-value < 0.05). In multivariable analysis, having a history of cancer (OR 1.74; 95% CI 1.11-2.71), chronic diseases (OR 1.35; 95% CI 1.14-1.59), and both cancer and chronic diseases (OR 2.14; 95% CI 1.62-2.82) were positively associated with screening uptake compared to respondents without any history. Regardless of disease history, older age was associated with greater CRC screening uptake (p-value < 0.05). Among respondents with chronic diseases only or without any condition, those with a health care provider had 1.7-fold and 2.7-fold increased odds of receiving CRC screening, respectively. However, current smokers were 28% and 34% less likely to be screened for CRC among those with chronic diseases only and without any conditions, respectively. CONCLUSION: Having a personal history of cancer and chronic diseases appears to be positively associated with guideline-concordant CRC screening use. Effective implementation of patient-centered communication through primary care initiatives may increase adherence to CRC screening recommendations.

Quantitative estimation of intracellular oxidative stress in human tissues.

Oxidative stress is known to be involved in and possibly a key driver of the development of numerous chronic diseases, including cancer. It is highly desired to have a capability to reliably estimate the level of intracellular oxidative stress as it can help to identify functional changes and disease phenotypes associated with such a stress, but the problem proves to be very challenging. We present a novel computational model for quantitatively estimating the level of oxidative stress in tissues and cells based on their transcriptomic data. The model consists of (i) three sets of marker genes found to be associated with the production of oxidizing molecules, the activated antioxidation programs and the intracellular stress attributed to oxidation, respectively; (ii) three polynomial functions defined over the expression levels of the three gene sets are developed aimed to capture the total oxidizing power, the activated antioxidation capacity and the oxidative stress level, respectively, with their detailed parameters estimated by solving an optimization problem and (iii) the optimization problem is so formulated to capture the relevant known insights such as the oxidative stress level generally goes up from normal to chronic diseases and then to cancer tissues. Systematic assessments on independent datasets indicate that the trained predictor is highly reliable and numerous insights are made based on its application results to samples in the TCGA, GTEx and GEO databases.

Exercise intensity- and body region-specific differences in sweating in middle-aged to older men with and without type 2 diabetes.

Type 2 diabetes (T2D) is associated with reduced whole body sweating during exercise-heat stress. However, it is unclear if this impairment is related to exercise intensity and whether it occurs uniformly across body regions. We evaluated whole body (direct calorimetry) and local (ventilated-capsule technique; chest, back, forearm, thigh) sweat rates in physically active men with type 2 diabetes [T2D; aged 59 (7) yr; V̇o2peak 32.3 (7.6) mL·kg-1·min-1; n = 26; HbA1c 5.1%-9.1%] and without diabetes [Control; aged 61 (5) yr; V̇o2peak 37.5 (5.4) mL·kg-1·min-1; n = 26] during light- (∼40% V̇o2peak), moderate- (∼50% V̇o2peak), and vigorous- (∼65% V̇o2peak) intensity exercise (elicited by fixing metabolic heat production at ∼150, 200, 250 W·m-2, respectively) in 40°C, ∼17% relative humidity. Whole body sweating was ∼11% (T2D: Control mean difference [95% confidence interval]: -37 [-63, -12] g·m-2·h-1) and ∼13% (-50 [-76, -25] g·m-2·h-1) lower in the T2D compared with the Control group during moderate- and vigorous- (P ≤ 0.001) but not light-intensity exercise (-21 [-47, 4] g·m-2·h-1; P = 0.128). Consequently, the diabetes-related reductions in whole body sweat rate were 2.3 [1.6, 3.1] times greater during vigorous relative to light exercise (P < 0.001). Furthermore, these diabetes-related impairments in local sweating were region-specific during vigorous-intensity exercise (group × region interaction: P = 0.024), such that the diabetes-related reduction in local sweat rate at the trunk (chest, back) was 2.4 [1.2, 3.7] times greater than that at the limbs (thigh, arm). In summary, when assessed under hot, dry conditions, diabetes-related impairments in sweating are exercise intensity-dependent and greater at the trunk compared with the limbs.NEW & NOTEWORTHY This study evaluates the influence of exercise intensity on decrements in whole body sweating associated with type 2 diabetes. Furthermore, it investigates whether diabetes-related sweating impairments were exhibited uniformly or heterogeneously across body regions. We found that whole body sweating was attenuated in the type 2 diabetes group relative to control participants during moderate- and vigorous-intensity exercise but not light-intensity exercise; impairments were largely mediated by reduced sweating at the trunk rather than the limbs.

A contactless cure: Leveraging telehealth to improve hepatitis C treatment at a safety-net hospital.

Hepatitis C virus (HCV) causes significant mortality worldwide. HCV is highly curable but access to care is limited for many patients. The Grady Liver Clinic (GLC), a primary care-based HCV clinic, utilizes a multidisciplinary team to provide comprehensive care for a medically underserved patient population in Atlanta, Georgia. The GLC added a telehealth option for HCV treatment at the start of the COVID-19 pandemic. We describe the outcomes of utilizing telehealth in this population. We performed a retrospective chart review of patients who initiated HCV treatment from March 2019 to February 2020 (pre-pandemic) and March 2020 to February 2021 (pandemic). Charts were abstracted for patient demographics and characteristics, treatment regimen, and treatment outcomes. Our primary outcome was HCV cure rate of the pre-pandemic compared to the pandemic cohorts and within the different pandemic cohort visit types. We performed an intention-to-treat (ITT) analysis for all patients who took at least one dose of a direct-acting antiviral (DAA) regardless of therapy completion, and a per-protocol (PP) analysis of those who completed treatment and were tested for HCV cure. SVR12 rates were >95% on ITT analysis, with no significant difference between pre-pandemic and pandemic cohorts. There was also no significant difference within the pandemic group when treatment was provided traditionally, via telehealth, or via a hybrid of these. Our findings support the use of telehealth as a tool to expand access to HCV treatment in a medically underserved patient population.

Addressing the unmet needs of transitional care in juvenile idiopathic arthritis.

OBJECTIVES: We aimed to comprehensively analyse the available literature to identify the unmet requirements in transitional programs tailored specifically for patients diagnosed with JIA. METHODS: According to published guidance on narrative reviews, a systematic review of the literature on transitional care in rheumatology was conducted. Pertinent documents were collected from reputable databases, such as Web of Science, Scopus, and MEDLINE/PubMed. The search encompassed literature published from the inception of each database until January 2023. RESULTS: In this study, a comprehensive analysis of the findings of 34 studies was conducted. Among these, 12 studies focused on assessing the readiness of adolescents and young adults diagnosed with JIA. Additionally, 18 studies examined the effectiveness of structured transition programs in terms of adherence and satisfaction. Finally, 4 studies investigated disease-related outcomes in this population. CONCLUSION: The need for transitioning children with rheumatic diseases to adult rheumatology services for continued care is clearly evident. However, the absence of established best practice guidelines presents a challenge in facilitating this transition effectively. Although several scoring systems have been proposed to ensure organized and seamless transfers, a consensus has not yet been reached. Furthermore, the socio-economic and cultural variations across countries further complicate the development of universal guidelines for transitioning children with rheumatic diseases. To address these concerns, our objective in conducting this literature review was to emphasize the significance of this issue and identify the specific requirements based on the unmet needs in the transition process.

Intensity and Variation of Health Navigator Support: Addressing Medical and Social Needs of Diabetes Patients in East Oakland.

BACKGROUND: Healthcare systems are increasingly screening and referring patients for unmet social needs (e.g., food insecurity). Little is known about the intensity of support necessary to address unmet needs, how this support may vary by circumstance or time (duration), or the factors that may contribute to this variation. OBJECTIVE: Describe health navigator services and the effort required to support patients with complex needs at a community health center in East Oakland, CA. DESIGN: Retrospective analysis of de-identified patient contact notes (e.g., progress notes). PARTICIPANTS: Convenience sample of patients (n = 27) enrolled in diabetes education and referred to health navigators. INTERVENTIONS: Navigators provide education on managing conditions (e.g., diabetes), initiate and track medical and social needs referrals, and navigate patients to medical and social care organizations. MAIN MEASURES: Descriptive statistics for prevalence, mean, median, and range values of patient contacts and navigation services. We described patterns and variation in navigation utilization (both contacts and navigation services) based on types of need. KEY RESULTS: We identified 811 unmet social and medical needs that occurred over 710 contacts with health navigators; 722 navigation services were used to address these needs. Patients were supported by navigators for a median of 9 months; approximately 25% of patients received support for > 1 year. We categorized patients into 3 different levels of social risk, accounting for patient complexity and resource needs. The top tertile (n = 9; 33%) accounted for the majority of resource utilization, based on health navigator contacts (68%) and navigation services (75%). CONCLUSIONS: The required intensity and support given to meet patients' medical and social needs is substantial and has significant variation. Meeting the needs of complex patients will require considerable investments in human capital, and a risk stratification system to help identify those most in need of services.

The Associations Between Medical and Mental Health Conditions and Health Care Utilization in US Adults with Past-Year Criminal Legal Involvement.

BACKGROUND: Every year, millions of US adults return home from prison or jail, and they visit the emergency department and experience hospitalizations at higher rates than the general population. Little is known about the primary conditions that drive this acute care use. OBJECTIVE: To determine the individual and combined associations between medical and mental health conditions and acute health care utilization among individuals with recent criminal legal involvement in a nationally representative sample of US adults. DESIGN: We examined the association between having medical or mental, or both, conditions (compared to none), and acute care utilization using negative binomial regression models adjusted for relevant socio-demographic covariates. PARTICIPANTS: Adult respondents to the National Survey of Drug Use and Health (2015-2019) who reported past year criminal legal involvement. MAIN MEASURES: Self-reported visits to the emergency department and nights spent hospitalized. RESULTS: Among 9039 respondents, 12.4% had a medical condition only, 34.6% had a mental health condition only, and 19.2% had both mental and medical conditions. In adjusted models, incident rate ratio (IRR) for ED use for medical conditions only was 1.32 (95% CI 1.05, 1.66); for mental conditions only, the IRR was 1.36 (95% CI 1.18, 1.57); for both conditions, the IRR was 2.13 (95% CI 1.81, 2.51). For inpatient use, IRR for medical only: 1.73 (95% CI 1.08, 2.76); for mental only, IRR: 2.47 (95% CI 1.68, 3.65); for both, IRR: 4.26 (95% CI 2.91, 6.25). CONCLUSION: Medical and mental health needs appear to contribute equally to increased acute care utilization among those with recent criminal legal involvement. This underscores the need to identify and test interventions which comprehensively address both medical and mental health conditions for individuals returning to the community to improve both health care access and quality.

Comparing Rates of Undiagnosed Hypertension and Diabetes in Patients With and Without Substance Use Disorders.

BACKGROUND: Individuals with substance use disorders (SUDs) have increased risk for developing chronic conditions, though few studies assess rates of diagnosis of these conditions among patients with SUDs. OBJECTIVE: To compare rates of undiagnosed hypertension and diabetes among patients with and without an SUD. DESIGN: Cross-sectional analysis using electronic health record (EHR) data from 58 primary care clinics at a large, urban, healthcare system in New York. PARTICIPANTS: Patients who had at least two primary care visits from 2019-2022 were included in our patient sample. Patients without an ICD-10 hypertension diagnosis or prescribed hypertension medications and with at least two blood pressure (BP) readings ≥ 140/90 mm were labeled 'undiagnosed hypertension,' and patients without a diabetes diagnosis or prescribed diabetes medications and with A1C/hemoglobin ≥ 6.5% were labeled 'undiagnosed diabetes.' MAIN MEASURES: We calculated the mean number of patients with and without an ICD-10 SUD diagnosis who were diagnosed and undiagnosed for each condition. We used multivariate logistic regression to assess the association between being undiagnosed for each condition, and having an SUD diagnosis, patient demographic characteristics, clinical characteristics (body mass index, Elixhauser comorbidity count, diagnosed HIV and psychosis), the percentage of visits without a BP screening, and the total number of visits during the time period. KEY RESULTS: The percentage of patients with undiagnosed hypertension (2.74%) and diabetes (22.98%) was higher amongst patients with SUD than patients without SUD. In multivariate models, controlling for other factors, patients with SUD had significantly higher odds of having undiagnosed hypertension (OR: 1.81; 95% CI: 1.48, 2.20) and undiagnosed diabetes (OR: 1.93; 1.72, 2.16). Being younger, female, and having an HIV diagnosis was also associated with significantly higher odds for being undiagnosed. CONCLUSIONS: We found significant disparities in rates of undiagnosed chronic diseases among patients with SUDs, compared with patients without SUDs.

Patient Experiences Navigating Care Coordination For Long COVID: A Qualitative Study.

BACKGROUND: Little is known about how to best evaluate, diagnose, and treat long COVID, which presents challenges for patients as they seek care. OBJECTIVE: Understand experiences of patients as they navigate care for long COVID. DESIGN: Qualitative study involving interviews with patients about topics related to seeking and receiving care for long COVID. PARTICIPANTS: Eligible patients were at least 18 years of age, spoke English, self-identified as functioning well prior to COVID infection, and reported long COVID symptoms continued to impact their lives at 3 months or more after a COVID infection. APPROACH: Patients were recruited from a post-COVID recovery clinic at an academic medical center from August to September 2022. Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. KEY RESULTS: Participants (n=21) reported experiences related to elements of care coordination: access to care, evaluation, treatment, and ongoing care concerns. Some patients noted access to care was facilitated by having providers that listened to and validated their symptoms; other patients reported feeling their access to care was hindered by providers who did not believe or understand their symptoms. Patients reported confusion around how to communicate their symptoms when being evaluated for long COVID, and they expressed frustration with receiving test results that were normal or diagnoses that were not directly attributed to long COVID. Patients acknowledged that clinicians are still learning how to treat long COVID, and they voiced appreciation for providers who are willing to try new treatment approaches. Patients expressed ongoing care concerns, including feeling there is nothing more that can be done, and questioned long-term impacts on their aging and life expectancy. CONCLUSIONS: Our findings shed light on challenges faced by patients with long COVID as they seek care. Healthcare systems and providers should consider these challenges when developing strategies to improve care coordination for patients with long COVID.

Ultra-processed Food Intake and Risk of Type 2 Diabetes in Korean Adults.

BACKGROUND: Several studies from the United States and European countries reported a positive association between ultra-processed food intake and diabetes risk. However, little is known about the association in Asian populations. It is also unknown about the individual ultra-processed food items that are most unfavorably associated with diabetes risk. OBJECTIVE: We examined the associations of ultra-processed food intake (combined, as well as individual ultra-processed food items) with the risk of type 2 diabetes. METHODS: This prospective analysis included 7438 participants aged 40-69 y from the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Dietary intake was assessed at baseline using a 103-item semiquantitative food-frequency questionnaire. Ultra-processed foods were classified using the Nova definition. Incident type 2 diabetes cases were identified via follow-up interviews and health examination. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS: During the follow-up (2001-2019; median: 15 y), a total of 1187 type 2 diabetes cases were identified. Compared with the lowest quartile of ultra-processed food intake, the highest quartile was positively associated with diabetes risk [HR (95% CI) = 1.34 (1.13, 1.59), P-trend = 0.002]. The association did not change after additional adjustment for diet quality or BMI. Among individual ultra-processed food items, a higher consumption of ham/sausage [per 1% increase in the weight ratio: HR (95% CI) = 1.40 (1.05, 1.86)], instant noodles [1.07 (1.02, 1.11)], ice cream [1.08 (1.03, 1.13)], and carbonated beverages [1.02 (1.00, 1.04)] were associated with an increased risk of type 2 diabetes, whereas a higher intake of candy/chocolate was associated with a decreased risk [0.78 (0.62, 0.99)]. CONCLUSIONS: Our data suggest that the high intake of ultra-processed foods, particularly ham/sausage, instant noodles, ice cream, and carbonated beverages, is associated with an increased risk of type 2 diabetes in Korean adults.

Food and Nutrition Insecurity: Experiences That Differ for Some and Independently Predict Diet-Related Disease, Los Angeles County, 2022.

BACKGROUND: National surveillance shows that food insecurity affects ≥1 in 10 Americans each year. Recently, experts have advocated for surveillance of nutrition and food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one's ability to meet food preferences. OBJECTIVES: This study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, United States; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes. METHODS: In December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N = 1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 mo. Data were analyzed in 2023. RESULTS: Reported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was <60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared with food insecurity, and both constructs independently predicted poor mental health. CONCLUSIONS: Food and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.

Plant-Based Diets and Risk of Multimorbidity: The Health and Retirement Study.

BACKGROUND: Plant-based diets have gained attention due to their beneficial effects against major chronic diseases, although their association with multimorbidity is mostly unknown. OBJECTIVES: We examined the association between the healthful (hPDI) and unhealthful plant-based diet indices (uPDI) with multimorbidity among middle-aged and older adults from the United States. METHODS: Data on 4262 adults aged >50 y was obtained from the 2012-2020 Health and Retirement Study (HRS) and 2013 Health Care and Nutrition Study (HCNS). Food consumption was collected at baseline with a food frequency questionnaire and 2 PDIs were derived: the hPDI, with positive scores for healthy plant foods and reverse scores for less healthy plant foods and animal foods; and the uPDI, with only positive scoring for less healthy plant foods. Complex multimorbidity, defined as ≥3 coexistent conditions, was ascertained from 8 self-reported conditions: hypertension, diabetes, cancer, chronic lung disease, heart disease, stroke, arthritis, and depression. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: After a median follow-up of 7.8 y, we documented 1202 incident cases of multimorbidity. Compared with the lowest quartile, higher adherence to the hPDI was inversely associated with multimorbidity (HR for quartile 3: 0.77; 95% CI: 0.62, 0.96 and HR for quartile 4: 0.79; 95% CI, 0.63, 0.98; P-trend = 0.02). In addition, a 10-point increment in the hPDI was associated with a 11% lower incidence of multimorbidity (95% CI: 1, 20%). No significant associations were found for the uPDI after adjusting for sociodemographic and lifestyle factors. CONCLUSIONS: Higher adherence to the hPDI was inversely associated with multimorbidity among middle-aged and older adults. Plant-based diets that emphasize consumption of high-quality plant foods may help prevent the development of complex multimorbidity.

Cost-Effectiveness of a Government Policy to Incentivise Chronic Disease Management following Stroke: A Modelling Study.

INTRODUCTION: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). This paper aimed to estimate the potential cost-effectiveness of CDM policies over a lifetime for long-time survivors of stroke. METHODS: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n = 12,368, 42% female, median age 70 years, 45% had CDM claims) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n = 512, 34% female, median age 69.6 years, 52% had CDM claims) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. RESULTS: Per-person average total lifetime costs were AUD 142,939 and 8.97 QALYs for those with a claim, and AUD 103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost-effectiveness of CDM policies was 26.1%, at a willingness-to-pay threshold of AUD 50,000/QALY. CONCLUSION: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care cost-effectively is needed.