Caregiver perceptions of a pediatric produce prescription program during the COVID-19 pandemic.

Introduction: Produce prescription programs are rapidly expanding as a type of Food is Medicine intervention with prospects for mitigating food insecurity and reducing diet-related health disparities. Gaining insight into participant perspectives on program logistics and perceived impacts is crucial to program success and improvements. Methods: Between May and June 2021, we conducted individual and small group interviews with 23 caregivers with children aged 1-5 years who participated in a produce prescription program from 2020 to 2021 in Texas, U.S. They were provided with a gift card to a major national grocery retailer to purchase fresh produce. The card was reloaded $60 monthly for 8 months with automatic roll-over of unused funds to the next month. Participants also received nutrition education in the form of two videos. A deductive analysis approach was employed, and NVivo qualitative data analysis software was used to perform coding and to assist with subsequent analyses. Results: All 23 participants were female, with an average age of 37.5 years, and the majority identified as Hispanic/Latino (83%). About 43% of the families had three or more children. Six themes were generated from interviews. Three of these themes were related to program logistics: (1) ease of program use; (2) participant satisfaction with the incentive; and (3) desire for additional store options. The remaining main themes pertained to program impact: (1) the enhanced ability to purchase produce; (2) the usefulness of the nutrition education; and (3) persistent challenges encountered when preparing the produce for picky eaters and young children. Conclusion: A pediatric produce prescription program was perceived as logistically easy and a helpful source of financial support for accessing fresh produce. Program features such as card-based incentive system and partnership with major grocery retailer were favored by participants. For future program design, it may be beneficial to consider collaborating with multiple grocery outlets and enhancing the intensity and targeting of nutrition education.

High-Acuity Alcohol-Related Complications During the COVID-19 Pandemic.

Importance: Research has demonstrated an association between the COVID-19 pandemic and increased alcohol-related liver disease hospitalizations and deaths. However, trends in alcohol-related complications more broadly are unclear, especially among subgroups disproportionately affected by alcohol use. Objective: To assess trends in people with high-acuity alcohol-related complications admitted to the emergency department, observation unit, or hospital during the COVID-19 pandemic, focusing on demographic differences. Design, Setting, and Participants: This longitudinal interrupted time series cohort study analyzed US national insurance claims data using Optum's deidentified Clinformatics Data Mart database from March 2017 to September 2021, before and after the March 2020 COVID-19 pandemic onset. A rolling cohort of people 15 years and older who had at least 6 months of continuous commercial or Medicare Advantage coverage were included. Subgroups of interest included males and females stratified by age group. Data were analyzed from April 2023 to January 2024. Exposure: COVID-19 pandemic environment from March 2020 to September 2021. Main Outcomes and Measures: Differences between monthly rates vs predicted rates of high-acuity alcohol-related complication episodes, determined using claims-based algorithms and alcohol-specific diagnosis codes. The secondary outcome was the subset of complication episodes due to alcohol-related liver disease. Results: Rates of high-acuity alcohol-related complications were statistically higher than expected in 4 of 18 pandemic months after March 2020 (range of absolute and relative increases: 0.4-0.8 episodes per 100 000 people and 8.3%-19.4%, respectively). Women aged 40 to 64 years experienced statistically significant increases in 10 of 18 pandemic months (range of absolute and relative increases: 1.3-2.1 episodes per 100 000 people and 33.3%-56.0%, respectively). In this same population, rates of complication episodes due to alcohol-related liver disease increased above expected in 16 of 18 pandemic months (range of absolute and relative increases: 0.8-2.1 episodes per 100 000 people and 34.1%-94.7%, respectively). Conclusions and Relevance: In this cohort study of a national, commercially insured population, high-acuity alcohol-related complication episodes increased beyond what was expected in 4 of 18 COVID-19 pandemic months. Women aged 40 to 64 years experienced 33.3% to 56.0% increases in complication episodes in 10 of 18 pandemic months, a pattern associated with large and sustained increases in high-acuity alcohol-related liver disease complications. Findings underscore the need for increased attention to alcohol use disorder risk factors, alcohol use patterns, alcohol-related health effects, and alcohol regulations and policies, especially among women aged 40 to 64 years.

The coupling coordination characteristics of China's health production efficiency and new urbanization and its influencing factors.

Urbanization leads to dramatic changes in habitat quality, which significantly affects population health. Research on the coupling coordination relationship between new urbanization and health production efficiency is conducive to improving residents' well-being and urban sustainable development. In this article, we adopted the super-efficient SBM model and entropy value method separately to evaluate the spatiotemporal variation characteristics of health production efficiency and new urbanization in China. Then, we used the coupling coordination degree model to investigate the interactive coercing relationship between new urbanization and health production efficiency. Finally, the panel Tobit model is used to analyze the factors influencing the coupled coordination of the two systems. The results showed that the new urbanization levels of 31 provinces in China have all steadily increased from 2003 to 2018. Health production efficiency exhibited a fluctuating but increasing trend, and its regional differences are gradually narrowing. Health production efficiency and new urbanization have developed in a more coordinated direction, with a spatial pattern of "high in the southeast and low in the northwest." Meanwhile, the relative development characteristics between the two systems have constantly changed, from the new urbanization lagged type to the two systems synchronized type and the health production efficiency lagged type. Population density, economic development level, government financial investment, and government health investment positively impact the coupling coordination degree of the two systems. In comparison, individual health investment harms the harmonization of the two systems.

Association of State Insulin Out-of-Pocket Caps With Insulin Cost-Sharing and Use Among Commercially Insured Patients With Diabetes : A Pre-Post Study With a Control Group.

BACKGROUND: Twenty-five states have implemented insulin out-of-pocket (OOP) cost caps, but their effectiveness is uncertain. OBJECTIVE: To examine the effect of state insulin OOP caps on insulin use and OOP costs among commercially insured persons with diabetes. DESIGN: Pre-post study with control group. SETTING: Eight states implementing insulin OOP caps of $25 to $30, $50, or $100 in January 2021, and 17 control states. PARTICIPANTS: Commercially insured persons with diabetes and insulin users younger than 65 years. Subgroups of particular interest included members from states with insulin OOP caps of $25 to $30, enrollees with health savings accounts (HSAs) that require high insulin OOP payments, and lower-income members. MEASUREMENTS: Mean monthly 30-day insulin fills and OOP costs. RESULTS: State insulin caps were not associated with changes in insulin use in the overall population (relative change in fills per month, 1.8% [95% CI, -3.2% to 6.9%]). Insulin users in intervention states saw a 17.4% (CI, -23.9% to -10.9%) relative reduction in insulin OOP costs, largely driven by reductions among HSA enrollees; there was no difference in OOP costs among nonaccount plan members. More generous ($25 to $30) state insulin OOP caps were associated with insulin OOP cost reductions of 40.0% (CI, -62.5% to -17.6%), again primarily driven by a larger reduction in the subgroup with HSA plans. LIMITATIONS: Single national insurer; 9-month follow-up. CONCLUSION: Insulin OOP caps were associated with reduced insulin OOP costs but no overall increases in insulin use. A proposed national insulin cap of $35 for commercially insured persons might lead to meaningful insulin OOP savings but have a limited effect on insulin use. PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases.

Comparison of health care costs following sleeve gastrectomy versus Roux-en-Y gastric bypass among patients with type 2 diabetes.

OBJECTIVE: The objective of this study was to compare the impact of sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) on overall and diabetes-specific health care costs among patients with type 2 diabetes. METHODS: This retrospective cohort study examined patients with type 2 diabetes after SG and RYGB using data from Optum's deidentified Clinformatics® Data Mart database. The matched study group included 9608 patients who underwent SG or RYGB and were enrolled between 2007 and 2019. The primary outcomes assessed were overall and diabetes-specific health care costs. RESULTS: Health care costs associated with type 2 diabetes declined substantially in the first few years following both SG and RYGB. RYGB was associated with a larger decrease in pharmacy costs, as well as type 2 diabetes-specific office and laboratory costs. SG was associated with lower total health care costs in the first three follow-up periods and lower acute care costs in the first 2 years after surgery. CONCLUSIONS: In this nationwide study, patients with type 2 diabetes at baseline undergoing RYGB appear to experience a reduced need for ambulatory type 2 diabetes monitoring and reduced requirements for antidiabetes medication but, despite this, did not experience an overall medical cost-benefit in the first few years after RYGB versus SG.

Acute Diabetes Complications After Transition to a Value-Based Medication Benefit.

Importance: The association of value-based medication benefits with diabetes health outcomes is uncertain. Objective: To assess the association of a preventive drug list (PDL) value-based medication benefit with acute, preventable diabetes complications. Design, Setting, and Participants: This cohort study used a controlled interrupted time series design and analyzed data from a large, national, commercial health plan from January 1, 2004, through June 30, 2017, for patients with diabetes aged 12 to 64 years enrolled through employers that adopted PDLs (intervention group) and matched and weighted members with diabetes whose employers did not adopt PDLs (control group). All participants were continuously enrolled and analyzed for 1 year before and after the index date. Subgroup analysis assessed patients with diabetes living in lower-income and higher-income neighborhoods. Data analysis was performed between August 19, 2020, and December 1, 2023. Exposure: At the index date, intervention group members experienced employer-mandated enrollment in a PDL benefit that was added to their follow-up year health plan. This benefit reduced out-of-pocket costs for common cardiometabolic drugs, including noninsulin antidiabetic agents and insulin. Matched control group members continued to have cardiometabolic medications subject to deductibles or co-payments at follow-up. Main Outcomes and Measures: The primary outcome was acute, preventable diabetes complications (eg, bacterial infections, neurovascular events, acute coronary disease, and diabetic ketoacidosis) measured as complication days per 1000 members per year. Intermediate measures included the proportion of days covered by and higher use (mean of 1 or more 30-day fills per month) of antidiabetic agents. Results: The study 10 588 patients in the intervention group (55.2% male; mean [SD] age, 51.1 [10.1] years) and 690 075 patients in the control group (55.2% male; mean [SD] age, 51.1 [10.1] years) after matching and weighting. From baseline to follow-up, the proportion of days covered by noninsulin antidiabetic agents increased by 4.7% (95% CI, 3.2%-6.2%) in the PDL group and by 7.3% (95% CI, 5.1%-9.5%) among PDL members from lower-income areas compared with controls. Higher use of noninsulin antidiabetic agents increased by 11.3% (95% CI, 8.2%-14.5%) in the PDL group and by 15.2% (95% CI, 10.6%-19.8%) among members of the PDL group from lower-income areas compared with controls. The PDL group experienced an 8.4% relative reduction in complication days (95% CI, -13.9% to -2.8%; absolute reduction, -20.2 [95% CI, -34.3 to -6.2] per 1000 members per year) compared with controls from baseline to follow-up, while PDL members residing in lower-income areas had a 10.2% relative reduction (95% CI, -17.4% to -3.0%; absolute, -26.1 [95% CI, -45.8 to -6.5] per 1000 members per year). Conclusions and Relevance: In this cohort study, acute, preventable diabetes complication days decreased by 8.4% in the overall PDL group and by 10.2% among PDL members from lower-income areas compared with the control group. The results may support a strategy of incentivizing adoption of targeted cost-sharing reductions among commercially insured patients with diabetes and lower income to enhance health outcomes.

Out-of-Pocket Costs and Outpatient Visits Among Patients With Cancer in High-Deductible Health Plans.

Importance: High-deductible health plans (HDHPs) have grown rapidly and may adversely affect access to comprehensive cancer care. Objective: To evaluate the association of HDHPs with out-of-pocket medical costs and outpatient physician visits among patients with cancer. Design, Setting, and Participants: Using 2003 to 2017 data from the deidentified Optum Clinformatics Data Mart database from individuals with employer-sponsored health coverage, adults aged 18 to 64 years with cancer who were enrolled in low-deductible (≤$500 annually) health plans during a baseline year were identified. Patients whose employers then mandated a switch to an HDHP (≥$1000 annual deductible) were assigned to the HDHP group, while contemporaneous individuals with cancer at baseline who had no option but to continue enrollment in low-deductible plans were assigned to the control group. The 2 groups were matched on demographic variables (age, sex, race and ethnicity, US Census region, rural vs urban, and neighborhood poverty level), cancer type, morbidity score, number of baseline physician visits by specialty type, baseline out-of-pocket costs, and employer characteristics. These cohorts were followed up for up to 3 years after the baseline year. Data were analyzed from July 2021 to December 2022. Exposures: Employer-mandated HDHP enrollment. Main Outcomes and Measures: Out-of-pocket medical expenditures and outpatient visits to primary care physicians, cancer specialists, and noncancer specialists. Results: After matching, the sample included 45 708 patients with cancer (2703 patients in the HDHP group and 43 005 matched individuals in the control group); mean (SD) age in the HDHP and control groups was 52.9 (9.3) years and 52.9 (2.3) years, respectively, with 58.5% females in both groups. The matching procedure yielded variable weights for each individual in the control group, resulting in a weighted control group sample of 2703 patients. Patients with cancer who were switched to HDHPs experienced an increase in annual out-of-pocket medical expenditures of 68.1% (95% CI, 51.0%-85.3%; absolute increase, $1349.80 [95% CI, $1060.30-$1639.20]) after the switch compared with those who remained in traditional health plans. At follow-up, the number of oncology visits did not differ between the 2 groups (relative difference, 0.1%; 95% CI, -8.4% to 9.4%); however, the HDHP group had 10.8% (95% CI, -15.5% to -5.9%) fewer visits to primary care physicians and 5.9% (95% CI, -11.2% to -0.3%) fewer visits to noncancer specialists. Conclusions and Relevance: Results of this cohort study suggest that after enrollment in HDHPs, patients with cancer experienced substantial increases in out-of-pocket medical costs. The number of visits to oncologists was unchanged during follow-up, but the number of visits to noncancer physicians was lower. These findings suggest that HDHPs are unlikely to unfavorably affect key oncology services but might lead to less comprehensive care of cancer survivors.

Changes in wintertime visibility across China over 2013-2019 and the drivers: A comprehensive assessment using machine learning method.

Effective emission reduction measures have largely lowered the particulate concentration in China, but low-visibility events still occur frequently, greatly affecting people's daily life, travel, and health. In the context of carbon neutrality strategy and climate change, the mechanisms governing visibility changes may be undergoing a transformation. To address this critical issue, we have undertaken a comprehensive assessment by employing a novel approach that combines site observations, model-derived datasets, and machine learning techniques. Our analysis of the dataset shows varying degrees of improvement in wintertime visibility in regions such as North China, South China, and the Fenwei Plain over 2013-2019, but an unexpected deterioration (approximately 1 km yr-1) in central and southern China (CSC). We further elucidate key roles of PM2.5 reduction in these regions with visibility improvement; whereas the unsatisfactory visibility trend in CSC was caused by combined effect of relative humidity (RH) increase (47 %), aerosol hygroscopicity (κ) enhancement (9 %), and boundary layer (BLH) reduction (8 %), which greatly overwhelms the effect of PM2.5 reduction recently. Moreover, the study reveals a growing influence of RH on the wintertime visibility, reaching 40 % ± 24 % to the total contribution in 2019, while that of PM2.5 declined to 18 % ± 19 % and is expected to further diminish with emission reduction. Note those often-neglected factors-temperature, wind speed, BLH, and κ, account for over 40 % of the total contribution. Though the importance of aerosol hygroscopic growth to visibility was found decreasing recently, it retains non-negligible impacts on driving inter-annual visibility trends. This study yields innovative insights for air pollution control, underscoring the imperative of region-specific strategies to mitigate low-visibility events.

Assessment of left atrial function in patients with metabolic syndrome by four-dimensional automatic left atrial quantification.

OBJECTIVE: This study aimed at assessing the changes of left atrial (LA) volume and strain function in metabolic syndrome (MS) patients using four-dimensional automatic left atrial quantification (4D-LAQ) and exploring independent correlative factors for LA function. METHODS: A total of 110 MS patients and 70 normal controls were selected and assigned into the MS group and the control group, respectively. Echocardiogram parameters were routinely examined and the thickness of epicardial adipose tissue (EAT) were measured with a parasternal long axis of left ventricle(LV). The LA volume and strain parameters were determined using 4D-LAQ. The independent correlation factors for LA strain parameters in MS patients were investigated through linear regression analysis. RESULTS: Compared with the control group, LA volume parameters were increased in the MS group, LA strain parameters and LA emptying fraction (LAEF) were decreased (all P < 0.05). EAT thickness is associated with LA reservoir longitudinal strain (LASr), conduit longitudinal strain (LAScd), reservoir circumferential strain (LASr-c), and conduit circumferential strain (LAScd-c) (all P < 0.05). LA contraction longitudinal (LASct) and circumferential strain (LASct-c) were not statistically significant. Regression analysis results show that systolic blood pressure (SBP) and triglyceride (TG) are independent correlative factors. Intra-observer and inter-observer repeatability test showed that the LA parameters examined by 4D-LAQ had good agreement. CONCLUSIONS: 4D-LAQ is capable of effectively assessing the LA function in MS patients and providing a useful reference for clinical diagnosis. SBP and TG serve as the independent correlative factors for LA function.

Application of machine learning for risky sexual behavior interventions among factory workers in China.

Introduction: Assessing the likelihood of engaging in high-risk sexual behavior can assist in delivering tailored educational interventions. The objective of this study was to identify the most effective algorithm and assess high-risk sexual behaviors within the last six months through the utilization of machine-learning models. Methods: The survey conducted in the Longhua District CDC, Shenzhen, involved 2023 participants who were employees of 16 different factories. The data was collected through questionnaires administered between October 2019 and November 2019. We evaluated the model's overall predictive classification performance using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. All analyses were performed using the open-source Python version 3.9.12. Results: About a quarter of the factory workers had engaged in risky sexual behavior in the past 6 months. Most of them were Han Chinese (84.53%), hukou in foreign provinces (85.12%), or rural areas (83.19%), with junior high school education (55.37%), personal monthly income between RMB3,000 (US$417.54) and RMB4,999 (US$695.76; 64.71%), and were workers (80.67%). The random forest model (RF) outperformed all other models in assessing risky sexual behavior in the past 6 months and provided acceptable performance (accuracy 78%; sensitivity 11%; specificity 98%; PPV 63%; ROC 84%). Discussion: Machine learning has aided in evaluating risky sexual behavior within the last six months. Our assessment models can be integrated into government or public health departments to guide sexual health promotion and follow-up services.

The Impact of Prescribing Monitoring Policy on Drug Use and Expenditures in China: A Multi-center Interrupted Time Series Study.

BACKGROUND: A prescribing monitoring policy (PMP) was implemented in November 2015 in Anhui province, China, the first province to pilot this policy to manage the use and costs of select drugs based on their large prescription volumes and/ or costs in hospitals. This study evaluated the impact of PMP on the use and expenditures of different drugs in three tertiary hospitals in Anhui. METHODS: We obtained monthly drug use and expenditures data from three tertiary hospitals in Anhui (November 2014 through September 2017). An interrupted time series (ITS) design was used to estimate changes in defined daily doses (DDDs per month) and drug expenditures (dollars per month) of policy-targeted and non-targeted drugs after PMP implementation. Drugs were grouped based on whether they were recommended (recommended drugs) by any clinical guidelines or not (non-recommended drugs), or if they were potentially over-used (proton pump inhibitors, PPIs). RESULTS: After PMP, DDDs and costs of the targeted PPIs (omeprazole) declined while use of non-targeted PPIs increased correspondingly with overall sustained declines in total PPIs. The policy impact on recommended drugs varied based on whether the targeted drugs have appropriate alternatives. The DDDs and costs of recommended drugs that have readily accessible appropriate alternatives (atorvastatin) declined, which offset increases in its alternative non-target drugs (rosuvastatin), while there was no significant change in those recommended drugs that did not have appropriate alternative drugs (clopidogrel and ticagrelor). Finally, the DDDs and costs of non-recommended drugs decreased significantly. CONCLUSION: PMP policy impact was not the same across different drug groups. PMP did help contain the use and costs of potentially over-used drugs and non-recommended drugs. PMP did not seem to reduce the use of first-line therapeutic drugs recommended by clinical treatment guidelines, especially those lacking alternatives; such drugs are unlikely appropriate candidates for PMP.

Utilization and Spending With Preventive Drug Lists for Asthma Medications in High-Deductible Health Plans.

Importance: High-deductible health plans with health savings accounts (HDHP-HSAs) incentivize patients to use less health care, including necessary care. Preventive drug lists (PDLs) exempt high-value medications from the deductible, reducing out-of-pocket cost sharing; the associations of PDLs with health outcomes among patients with asthma is unknown. Objective: To evaluate the associations of a PDL for asthma medications on utilization, adverse outcomes, and patient spending for HDHP-HSA enrollees with asthma. Design, Setting, and Participants: This case-control study used matched groups of patients with asthma before and after an insurance design change using a national commercial health insurance claims data set from 2004-2017. Participants included patients aged 4 to 64 years enrolled for 1 year in an HDHP-HSA without a PDL in which asthma medications were subject to the deductible who then transitioned to an HDHP-HSA with a PDL that included asthma medications; these patients were compared with a matched weighted sample of patients with 2 years of continuous enrollment in an HDHP-HSA without a PDL. Models controlled for patient demographics and asthma severity and were stratified by neighborhood income. Analyses were conducted from October 2020 to June 2023. Exposures: Employer-mandated addition of a PDL that included asthma medications to an existing HDHP-HSA. Main Outcomes and Measures: Outcomes of interest were utilization of asthma medications on the PDL (controllers and albuterol), asthma exacerbations (oral steroid bursts and asthma-related emergency department use), and out-of-pocket spending (all and asthma-specific). Results: A total of 12 174 participants (mean [SD] age, 36.9 [16.9] years; 6848 [56.25%] female) were included in analyses. Compared with no PDL, PDLs were associated with increased rates of 30-day fills per enrollee for any controller medication (change, 0.10 [95% CI, 0.03 to 0.17] fills per enrollee; 12.9% increase) and for combination inhaled corticosteroid long-acting ß2-agonist (ICS-LABA) medications (change, 0.06 [95% CI, 0.01 to 0.10] fills per enrollee; 25.4% increase), and increased proportion of days covered with ICS-LABA (6.0% [0.7% to 11.3%] of days; 15.6% increase). Gaining a PDL was associated with decreased out-of-pocket spending on asthma care (change, -$34 [95% CI, -$47 to -$21] per enrollee; 28.4% difference), but there was no significant change in asthma exacerbations and no difference in results by income. Conclusions and Relevance: In this case-control study, reducing cost-sharing for asthma medications through a PDL was associated with increased adherence to controller medications, notably ICS-LABA medications used by patients with more severe asthma, but was not associated with improved clinical outcomes. These findings suggest that PDLs are a potential strategy to improve access and affordability of asthma care for patients in HDHP-HSAs.

Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study.

Background Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet-related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce prescription programs for patients with diabetes on long-term health gains, costs, and cost-effectiveness in the United States has not been established. Methods and Results We used a validated state-transition microsimulation model (Diabetes, Obesity, Cardiovascular Disease Microsimulation model), populated with national data of eligible individuals from the National Health and Nutrition Examination Survey 2013 to 2018, further incorporating estimated intervention effects and diet-disease effects from meta-analyses, and policy- and health-related costs from published literature. The model estimated that over a lifetime (mean=25 years), implementing produce prescriptions in 6.5 million US adults with both diabetes and food insecurity (lifetime treatment) would prevent 292 000 (95% uncertainty interval, 143 000-440 000) cardiovascular disease events, generate 260 000 (110000-411 000) quality-adjusted life-years, cost $44.3 billion in implementation costs, and save $39.6 billion ($20.5-58.6 billion) in health care costs and $4.8 billion ($1.84-$7.70 billion) in productivity costs. The program was highly cost effective from a health care perspective (incremental cost-effectiveness ratio: $18 100/quality-adjusted life-years) and cost saving from a societal perspective (net savings: $-0.05 billion). The intervention remained cost effective at shorter time horizons of 5 and 10 years. Results were similar in population subgroups by age, race or ethnicity, education, and baseline insurance status. Conclusions Our model suggests that implementing produce prescriptions among US adults with diabetes and food insecurity would generate substantial health gains and be highly cost effective.

Measurement of diets that are healthy, environmentally sustainable, affordable, and equitable: A scoping review of metrics, findings, and research gaps.

Introduction: Research on the impacts of dietary patterns on human and planetary health is a rapidly growing field. A wide range of metrics, datasets, and analytical techniques has been used to explore the role of dietary choices/constraints in driving greenhouse gas (GHG) emissions, environmental degradation, health and disease outcomes, and the affordability of food baskets. Many argue that each domain is important, but few have tackled all simultaneously in analyzing diet-outcome relationships. Methods: This paper reviews studies published between January 2015 and December 2021 (inclusive) that examined dietary patterns in relation to at least two of the following four thematic pillars: (i) planetary health, including, climate change, environmental quality, and natural resource impacts, (ii) human health and disease, (iii) economic outcomes, including diet cost/affordability, and (iv) social outcomes, e.g., wages, working conditions, and culturally relevant diets. We systematically screened 2,425 publications by title and abstract and included data from 42 eligible publications in this review. Results: Most dietary patterns used were statistically estimated or simulated rather than observed. A rising number of studies consider the cost/affordability of dietary scenarios in relation to optimized environmental and health outcomes. However, only six publications incorporate social sustainability outcomes, which represents an under-explored dimension of food system concerns. Discussion: This review suggests a need for (i) transparency and clarity in datasets used and analytical methods; (ii) explicit integration of indicators and metrics linking social and economic issues to the commonly assessed diet-climate-planetary ecology relationships; (iii) inclusion of data and researchers from low- and middle-income countries; (iv) inclusion of processed food products to reflect the reality of consumer choices globally; and (v) attention to the implications of findings for policymakers. Better understanding is urgently needed on dietary impacts on all relevant human and planetary domains simultaneously.

What is the cost-effectiveness of menu calorie labelling on reducing obesity-associated cancer burdens? An economic evaluation of a federal policy intervention among 235 million adults in the USA.

OBJECTIVE: To assess the impact of menu calorie labelling on reducing obesity-associated cancer burdens in the USA. DESIGN: Cost-effectiveness analysis using a Markov cohort state-transition model. SETTING: Policy intervention. PARTICIPANTS: A modelled population of 235 million adults aged ≥20 years in 2015-2016. INTERVENTIONS: The impact of menu calorie labelling on reducing 13 obesity-associated cancers among US adults over a lifetime was evaluated for: (1) effects on consumer behaviours; and (2) additional effects on industry reformulation. The model integrated nationally representative demographics, calorie intake from restaurants, cancer statistics and estimates on associations of policy with calorie intake, dietary change with body mass index (BMI) change, BMI with cancer rates, and policy and healthcare costs from published literature. MAIN OUTCOME MEASURES: Averted new cancer cases and cancer deaths and net costs (in 2015 US$) among the total population and demographic subgroups were determined. Incremental cost-effectiveness ratios from societal and healthcare perspectives were assessed and compared with the threshold of US$150 000 per quality-adjusted life year (QALY) gained. Probabilistic sensitivity analyses incorporated uncertainty in input parameters and generated 95% uncertainty intervals (UIs). RESULTS: Considering consumer behaviour alone, this policy was associated with 28 000 (95% UI 16 300 to 39 100) new cancer cases and 16 700 (9610 to 23 600) cancer deaths averted, 111 000 (64 800 to 158 000) QALYs gained, and US$1480 (884 to 2080) million saved in cancer-related medical costs among US adults. The policy was associated with net cost savings of US$1460 (864 to 2060) million and US$1350 (486 to 2260) million from healthcare and societal perspectives, respectively. Additional industry reformulation would substantially increase policy impact. Greater health gains and cost savings were predicted among young adults, Hispanic and non-Hispanic Black individuals. CONCLUSIONS: Study findings suggest that menu calorie labelling is associated with lower obesity-related cancer burdens and reduced healthcare costs. Policymakers may prioritise nutrition policies for cancer prevention in the USA.

Green-Light Responsive Perylene Bisimides for Atom-Economic Thiol Generation and Click-Ligation.

Novel methylthiophene/benzo[b]thiophene perylene bisimide thiol-precursors that would generate thiols via a green-light-induced (λexc = 530 nm, φre = 0.33) photorearrangement are presented herein. The "no-wash", photoreleased thiols thus enabled a subsequent thiol-ene click ligation with electron-deficient substrates. Moreover, by virtue of the intrinsic fluorescence evolution from the rearrangement of perylene bisimide scaffolds, the whole process of thiol formation could be self-reported, further potentiating themselves with application versatilities.

A low-cost microbial fuel cell based sensor for in-situ monitoring of dissolved oxygen for over half a year.

In order to address the need for long-term, in-situ and inexpensive monitoring of dissolved oxygen (DO), a chitin-carrying microbial fuel cell (MFC) based DO sensor was developed using sediment anolyte, which had an extremely low cost of US$12.17 and comparable performance to certain commercial sensors. The MFC based DO sensor had a long lifetime of over half a year with chitin as the fuel, attributed to the syntrophic interactions between fermentative and exoelectrogenic microbes that were well developed for chitin degradation in anaerobic condition with sediment filling in the anode chamber. The use of sediment anolyte introduced hindered diffusion in the porous media, enabling the use of glass fiber as the separator to replace the ion exchange membrane and thus resulting in a much lower cost. Field tests of this MFC based DO sensor were conducted in fresh and saline waters respectively. Excellent performance was achieved with average deviations of <4.5% to three commercial methods of fiber optic sensor (HQ40d, HACH company, USA), Clark type sensor (Pro20i, YSI company, USA) and iodometry. This low-cost MFC sensor also showed a high reliability, with the same response of current generation to different DO levels in random 17-times tests, indicating its great market potentials for in-situ DO monitoring.

Acute Care Utilization and Costs Up to 4 Years After Index Sleeve Gastrectomy or Roux-en-Y Gastric Bypass: A National Claims-based Study.

OBJECTIVE: To compare acute care utilization and costs following sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB). SUMMARY BACKGROUND DATA: Comparing postbariatric emergency department (ED) and inpatient care use patterns could assist with procedure choice and provide insights about complication risk. METHODS: We used a national insurance claims database to identify adults undergoing SG and RYGB between 2008 and 2016. Patients were matched on age, sex, calendar-time, diabetes, and baseline acute care use. We used adjusted Cox proportional hazards to compare acute care utilization and 2-part logistic regression models to compare annual associated costs (odds of any cost, and odds of high costs, defined as ≥80th percentile), between SG and RYGB, overall and within several clinical categories. RESULTS: The matched cohort included 4263 SG and 4520 RYGB patients. Up to 4 years after surgery, SG patients had slightly lower risk of ED visits [adjusted hazard ratio (aHR): 0.90; 95% confidence interval (CI): 0.85,0.96] and inpatient stays (aHR: 0.80; 95% CI: 0.73,0.88), especially for events associated with digestive-system diagnoses (ED aHR: 0.68; 95% CI: 0.62,0.75; inpatient aHR: 0.61; 95% CI: 0.53,0.72). SG patients also had lower odds of high ED and high total acute costs (eg, year-1 acute costs adjusted odds ratio (aOR) 0.77; 95% CI: 0.66,0.90) in early follow-up. However, observed cost differences decreased by years 3 and 4 (eg, year-4 acute care costs aOR 1.10; 95% CI: 0.92,1.31). CONCLUSIONS: SG may have fewer complications requiring emergency care and hospitalization, especially as related to digestive system disease. However, any acute care cost advantages of SG may wane over time.

Assessment of Calories Purchased After Calorie Labeling of Prepared Foods in a Large Supermarket Chain.

Importance: Calorie labels for prepared (ie, ready-to-eat) foods are required in large chain food establishments in the US. Large evaluations in restaurants suggest small declines in purchases of prepared foods after labeling, but to the authors' knowledge, no studies have examined how this policy influences supermarket purchases. Objective: To estimate changes in calories purchased from prepared foods and potential packaged substitutes compared with control foods after calorie labeling of prepared foods in supermarkets. Design, Setting, and Participants: This controlled interrupted time series compared sales 2 years before labeling implementation (April 2015-April 2017) with sales 7 months after labeling implementation (May 2017-December 2017). Data from 173 supermarkets from a supermarket chain with locations in Maine, Massachusetts, New Hampshire, New York, and Vermont were analyzed from March 2020 to May 2022. Intervention: Implementation of calorie labeling of prepared foods in April 2017. Main Outcomes and Measures: Purchased items were classified as prepared foods, potential packaged substitutes for prepared foods, or all other (ie, control) foods. The primary outcome was mean weekly calories per transaction purchased from prepared foods, and the secondary outcome was mean weekly calories per transaction purchased from similar packaged items (for substitution analyses). Analyses of prepared and packaged foods were stratified by food category (bakery, entrées and sides, or deli meats and cheeses). Results: Among the included 173 supermarkets, calorie labeling was associated with a mean 5.1% decrease (95% CI, -5.8% to -4.4%) in calories per transaction purchased from prepared bakery items and an 11.0% decrease (95% CI, -11.9% to -10.1%) from prepared deli items, adjusted for changes in control foods; no changes were observed for prepared entrées and sides (change = 0.3%; 95% CI, -2.5% to 3.0%). Labeling was also associated with decreased calories per transaction purchased from packaged bakery items (change = -3.9%; 95% CI, -4.3% to -3.6%), packaged entrées and sides (change = -1.2%; 95% CI, -1.4% to -0.9%), and packaged deli items (change = -2.1%; 95% CI, -2.4% to -1.7%). Conclusions and Relevance: In this longitudinal study of supermarkets, calorie labeling of prepared foods was associated with small to moderate decreases in calories purchased from prepared bakery and deli items without evidence of substitution to similar packaged foods.

A Cross-Sectional Assessment of Dietary Patterns and Their Relationship to Hypertension and Obesity in Indonesia.

Background: There is a marked increase in the intake of foods associated with higher risks for hypertension and obesity in Indonesia. However, studies assessing the relationship between dietary patterns and health outcomes are few. Objective: The purpose of this study was to characterize dietary patterns and investigate their relationship with hypertension and obesity in Indonesia. Methods: Exploratory factor analysis was used to derive dietary patterns from a brief food scanner filled by 31,160 respondents aged 15 y and older in the Indonesian Family Life Survey wave 5 (IFLS 5). Age- and gender-specific quintiles of consumption were created for each pattern and the association between quintiles of each dietary pattern and the odds for hypertension and obesity were assessed using multivariate logistic regression analyses. Results: Two dietary patterns were identified: a modern dietary pattern characterized by fast foods, soft drinks, sweet snacks, and salty snacks and a traditional pattern characterized by fish, vegetables, and fruits. Younger age and being male were significantly correlated with higher consumption of the modern pattern (P < 0.0001 and P = 0.03, respectively). Analyses showed no association between hypertension and the modern pattern. However, the traditional pattern revealed lower odds for hypertension among those in the highest quintile compared with the lowest quintile (OR: 0.84; 95% CI: 0.74, 0.95; P-trend < 0.05). Individuals in the highest quintile of each dietary pattern had higher odds of obesity compared with those in the lowest quintile (modern pattern-OR: 1.31; 95% CI: 1.15, 1.49; P-trend < 0.00; traditional pattern-OR: 1.25; 95% CI: 1.10, 1.42; P-trend < 0.01). Conclusions: More studies using gold-standard measures of dietary intake are needed to better understand the relationship between the modern dietary pattern and hypertension in Indonesia. Also, both modern and traditional dietary patterns in Indonesia may be energy dense, leading to higher risk for obesity.