Association of cardiovascular health metrics with all-cause and cardiovascular disease mortality in chronic kidney disease: A cohort study.

BACKGROUND AND AIMS: Since the global burden of chronic kidney disease (CKD) is rising rapidly, the study aimed to assess the association of cardiovascular health (CVH) metrics with all-cause and cardiovascular disease (CVD) mortality among individuals with CKD. METHODS AND RESULTS: The cohort study included 5834 participants with CKD from the National Health and Nutrition Examination Survey 1999-2018. A composite CVH score was calculated based on smoking status, physical activity, body mass index, blood pressure, total cholesterol, diet quality, and glucose control. Primary outcomes were all-cause and CVD mortality as of December 31, 2019. Multivariable-adjusted Cox proportional hazards models were used to estimate the association between CVH metrics and deaths in CKD patients. During a median follow-up of 7.2 years, 2178 all-cause deaths and 779 CVD deaths were documented. Compared to participants with ideal CVH, individuals with intermediate CVH exhibited a 46.0% increase in all-cause mortality (hazard ratio, 1.46; 95% confidence interval: 1.17, 1.83), while those with poor CVH demonstrated a 101.0% increase (2.01; 1.54, 2.62). For CVD mortality, individuals with intermediate CVH experienced a 56.0% increase (1.56; 1.02, 2.39), and those with poor CVH demonstrated a 143.0% increase (2.43; 1.51, 3.91). Linear trends were noted for the associations of CVH with both all-cause mortality (P for trend <0.001) and CVD mortality (P for trend = 0.02). CONCLUSIONS: Lower CVH levels were associated with higher all-cause and CVD mortality in individuals with CKD, which highlights the importance of maintaining good CVH in CKD patients.

Estimated health benefits, costs and cost-effectiveness of eliminating industrial trans-fatty acids in Nigeria: cost-effectiveness analysis.

INTRODUCTION: Nigeria is committed to reducing industrial trans-fatty acids (iTFA) from the food supply, but the potential health gains, costs and cost-effectiveness are unknown. METHODS: The effect on ischaemic heart disease (IHD) burden, costs and cost-effectiveness of a mandatory iTFA limit (≤2% of all fats) for foods in Nigeria were estimated using Markov cohort models. Data on demographics, IHD epidemiology and trans-fatty acid intake were derived from the 2019 Global Burden of Disease Study. Avoided IHD events and deaths; health-adjusted life years (HALYs) gained; and healthcare, policy implementation and net costs were estimated over 10 years and the population's lifetime. Incremental cost-effectiveness ratios using net costs and HALYs gained (both discounted at 3%) were used to assess cost-effectiveness. RESULTS: Over the first 10 years, a mandatory iTFA limit (assumed to eliminate iTFA intake) was estimated to prevent 9996 (95% uncertainty interval: 8870 to 11 118) IHD deaths and 66 569 (58 862 to 74 083) IHD events, and to save US$90 million (78 to 102) in healthcare costs. The corresponding lifetime estimates were 259 934 (228 736 to 290 191), 479 308 (95% UI 420 472 to 538 177) and 518 (450 to 587). Policy implementation costs were estimated at US$17 million (11 to 23) over the first 10 years, and US$26 million USD (19 to 33) over the population's lifetime. The intervention was estimated to be cost-saving, and findings were robust across several deterministic sensitivity analyses. CONCLUSION: Our findings support mandating a limit of iTFAs as a cost-saving strategy to reduce the IHD burden in Nigeria.

The contribution of sodium reduction and potassium increase to the blood pressure lowering observed in the Salt Substitute and Stroke Study.

The Salt Substitute and Stroke Study (SSaSS) demonstrated significant reductions in systolic blood pressure (SBP), and the risk of stroke, major cardiovascular events and total mortality with the use of potassium-enriched salt. The contribution of sodium reduction versus potassium increase to these effects is unknown. We identified four different data sources describing the association between sodium reduction, potassium supplementation and change in SBP. We then fitted a series of models to estimate the SBP reductions expected for the differences in sodium and potassium intake in SSaSS, derived from 24-h urine collections. The proportions of the SBP reduction separately attributable to sodium reduction and potassium supplementation were calculated. The observed SBP reduction in SSaSS was -3.3 mmHg with a corresponding mean 15.2 mmol reduction in 24-h sodium excretion and a mean 20.6 mmol increase in 24-h potassium excretion. Assuming 90% of dietary sodium intake and 70% of dietary potassium intake were excreted through urine, the models projected falls in SBP of between -1.67 (95% confidence interval: -4.06 to +0.73) mmHg and -5.33 (95% confidence interval: -8.58 to -2.08) mmHg. The estimated proportional contribution of sodium reduction to the SBP fall ranged between 12 and 39% for the different models fitted. Sensitivity analyses assuming different proportional urinary excretion of dietary sodium and potassium intake showed similar results. In every model, the majority of the SBP lowering effect in SSaSS was estimated to be attributable to the increase in dietary potassium rather than the fall in dietary sodium.

Criterion validation of nutrient profiling systems: a systematic review and meta-analysis.

BACKGROUND: Nutrient profiling systems (NPSs) use algorithms to evaluate the nutritional quality of foods and beverages. Criterion validation, which assesses the relationship between consuming foods rated as healthier by the NPS and objective measures of health, is essential to ensure the accuracy of NPSs. OBJECTIVE: We examined and compared NPSs that have undergone criterion validity testing in relation to diet-related disease risk and risk markers. METHODS: Academic databases were searched for prospective cohort and cross-sectional studies published before November, 2022. NPSs were eligible if they incorporated multiple nutrients or food components using an algorithm to determine an overall summary indicator (e.g., a score or rank) for individual foods. Studies were included if they assessed the criterion validity of an eligible NPS. Validation evidence was first summarized in narrative form by NPS, with random effects meta-analysis where ≥2 prospective cohort studies assessed the same NPS and outcomes. RESULTS: Of 4519 publications identified, 29 describing 9 NPSs were included in the review. The Nutri-Score NPS was assessed as having substantial criterion validation evidence. Highest compared with lowest diet quality as defined by the Nutri-Score was associated with significantly lower risk of cardiovascular disease (hazard ratio [HR]: 0.74; 95% confidence interval [CI]: 0.59, 0.93; n = 6), cancer (HR: 0.75; 95% CI: 0.59, 0.94; n = 5), all-cause mortality (HR: 0.74; 95% CI; 0.59, 0.91; n = 4) and change in body mass index (HR: 0.68; 95% CI: 0.50, 0.92; n = 3). The Food Standards Agency NPS, Health Star Rating, Nutrient Profiling Scoring Criterion, Food Compass, Overall Nutrition Quality Index, and the Nutrient-Rich Food Index were determined as having intermediate criterion validation evidence. Two other NPSs were determined as having limited criterion validation evidence. CONCLUSIONS: We found limited criterion validation studies compared with the number of NPSs estimated to exist. Greater emphasis on conducting and reporting on criterion validation studies across varied contexts may improve the confidence in existing NPSs.

Estimated health benefits, costs and cost-effectiveness of eliminating dietary industrial trans fatty acids in Kenya: cost-effectiveness analysis.

OBJECTIVES: To model the potential health gains and cost-effectiveness of a mandatory limit of industrial trans fatty acids (iTFA) in Kenyan foods. DESIGN: Multiple cohort proportional multistate life table model, incorporating existing data from the Global Burden of Disease study, pooled analyses of observational studies and peer-reviewed evidence of healthcare and policy implementation costs. SETTING: Kenya. PARTICIPANTS: Adults aged ≥20 years at baseline (n=50 million). INTERVENTION: A mandatory iTFA limit (≤2% of all fats) in the Kenyan food supply compared with a base case scenario of maintaining current trans fat intake. MAIN OUTCOME MEASURES: Averted ischaemic heart disease (IHD) events and deaths, health-adjusted life years; healthcare costs; policy implementation costs; net costs; and incremental cost-effectiveness ratio. RESULTS: Over the first 10 years, the intervention was estimated to prevent ~1900 (95% uncertainty interval (UI): 1714; 2148) IHD deaths and ~17 000 (95% UI: 15 475; 19 551) IHD events, and to save ~US$50 million (95% UI: 44; 56). The corresponding estimates over the lifespan of the model population were ~49 000 (95% UI: 43 775; 55 326) IHD deaths prevented, ~113 000 (95% UI: 100 104; 127 969) IHD events prevented and some ~US$300 million (256; 331) saved. Policy implementation costs were estimated as ~US$9 million over the first 10 years and ~US$20 million over the population lifetime. The intervention was estimated to be cost saving regardless of the time horizon. Findings were robust across multiple sensitivity analyses. CONCLUSIONS: Findings support policy action for a mandatory iTFA limit as a cost-saving strategy to avert IHD events and deaths in Kenya.

The Effect of Retail Food Environment Interventions on Dietary Behavior in Postsecondary Education Settings: A Systematic Review and Meta-analysis.

BACKGROUND: Postsecondary education institutions, where hundreds of millions of people work and study globally, are a key setting for retail food environment interventions. OBJECTIVE: We aimed to synthesize the evidence for the effectiveness of retail food environment interventions in improving the healthiness of dietary behavior of students and staff in postsecondary education settings. METHODS: Academic databases were searched for randomized controlled trials (RCTs) and quasi-experimental studies published until August 2023. Studies were eligible if they assessed the impact of a retail food environment intervention on healthiness of dietary behavior (purchases or consumption) in students or staff in postsecondary education settings and targeted one of the following food environment elements: placement, price, product, or promotion. Business-related outcomes (total sales, profit, or revenue) were included as secondary outcomes. Findings were synthesized in narrative form, organized by retail food environment element. Where comparable dietary outcome data were available from ≥10 interventions, findings were pooled using random effects meta-analysis. RESULTS: Of 10,126 studies initially identified, 55 (76% quasi-experimental) were included, describing 71 separate interventions (n = 49 single-element and n = 22 multi-element). Two-thirds (n = 47, 66%) of interventions (n = 32 single-element and n = 15 multi-element) demonstrated significant improvements in dietary behavior. Single-element interventions targeting placement (n = 1) and price (n = 3) improved dietary behavior. Most (n = 9/10, 90%) interventions targeting product availability or convenience (product element) improved dietary behavior, while n = 19/35 (54%) targeting promotion did. Pooled findings from 12 interventions reporting changes in energy content demonstrated a significant decrease in purchased or consumed energy (-7.9%; 95% confidence interval: -10.3%, -5.6%). Almost all interventions (n = 11/12, 92%) that evaluated the impact on business-related outcomes found either a significant increase or no change following the intervention. CONCLUSIONS: We established encouraging evidence supporting the role of retail food environment interventions in postsecondary education settings to support healthy dietary behaviors of students and staff. REGISTRY: PROSPERO (International Prospective Register of Systematic Reviews, URL: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=295836; registration number CRD42022295836).

Packaged foods purchased on price promotion in Australia.

We examined the prevalence and magnitude of price promotions among purchases of packaged foods and beverages in Australia, as well as the contribution of price-promoted foods and beverages to apparent energy intake. We utilized grocery purchase data from a nationally representative panel of 10 000 households in 2019 (NielsenIQ Homescan panel), combined with a food nutrition dataset (FoodSwitch). Nutritional quality was defined using the Australian and New Zealand Health Star Rating (HSR), where products with an HSR <3.5 were classified as 'less healthy' and products with an HSR ≥3.5 were classified as 'healthy'. Apparent energy intake was expressed as the total energy content of all purchased products per day per capita. Price promotions were claimed by panel members. Overall, four-in-ten packaged products (41%) were purchased on price promotion. Compared to 'healthy' products, 'less healthy' products were more frequently purchased on price promotion (33% vs 48%, respectively, p < 0.001), but had a similar mean magnitude of price discount (both 22%). Low socio-economic status (SES) households consumed 18% more energy from 'less healthy' packaged products on price promotion than high SES households (1141 vs 970 kJ/day/capita, p < 0.001). In conclusion, restricting price promotions for 'less healthy' packaged foods and beverages could potentially improve diet quality and dietary inequalities in Australia.

Trans-fat labelling information on prepackaged foods and beverages sold in Hong Kong in 2019.

OBJECTIVE: To examine the labelling status of trans-fat of pre-packaged foods sold in Hong Kong. DESIGN: Data from 19 027 items in the 2019 FoodSwitch Hong Kong database were used. Ingredient lists were screened to identify specific (e.g. partially hydrogenated vegetable oil, PHVO) and non-specific trans-fat ingredient indicators (e.g. hydrogenated oil). Trans-fat content was obtained from the on-pack nutrition labels, which was converted into proportion of total fat (%total fat). Descriptive statistics were calculated for trans-fat content and the number of specific, non-specific and total trans-fat ingredients indicators found on the ingredients lists. Comparisons were made between regions using one-way ANOVA and χ2 for continuous and categorical variables, respectively. SETTING: Cross-sectional audit. PARTICIPANTS: Not applicable. RESULTS: A total of 729 items (3·8 % of all products) reported to contain industrially produced trans-fat, with a median of 0·4 g/100 g or 100 ml (interquartile range (IQR): 0·1-0·6) and 1·2 %totalfat (IQR: 0·6-2·9). 'Bread and bakery products' had the highest proportion of items with industrially produced trans-fat (18·9 %). 'Non-alcoholic beverages' had the highest proportion of products of 'false negatives' labelling (e.g. labelled as 0 trans-fat but contains PHVO; 59·3 %). The majority of products with trans-fat indicator originated from Asia (70 %). CONCLUSIONS: According to the labelling ∼4 % of pre-packaged food and beverages sold in Hong Kong in 2019 contained industrially produced trans-fat, and a third of these had trans-fat >2 %total fat. The ambiguous trans-fat labelling in Hong Kong may not effectively assist consumers in identifying products free from industrially produced trans-fat.

Protocol for a novel sodium and blood pressure reduction intervention targeting online grocery shoppers with hypertension - the SaltSwitch Online Grocery Shopping randomized trial.

BACKGROUND: High dietary sodium intake is a leading cause of hypertension. A major source of dietary sodium is salt added to processed food products available in retail food environments. The fast-growing online grocery shopping setting provides new opportunities for salt reduction interventions that support consumers in choosing healthier options. METHODS: The SaltSwitch Online Grocery Shopping randomized controlled trial is investigating the feasibility, acceptability, and effectiveness of a novel intervention for lowering salt consumption and blood pressure amongst people with hypertension who shop for groceries online. The intervention is based on a bespoke web browser extension that interfaces with a major retailer's online store to highlight and interpret product sodium content and suggest similar but lower-sodium alternatives. The primary outcome of interest is change in mean systolic blood pressure between individuals randomized (1:1) to the intervention and control (usual online shopping) arms at 12 weeks. Secondary outcomes are diastolic blood pressure, spot urinary sodium and sodium:potassium ratio, sodium purchases, and dietary intake. Intervention implementation and lessons for future uptake will be assessed using a mixed methods process evaluation. Participants with hypertension who shop online for groceries and exhibit high sodium purchasing behavior are being recruited across Australia. A target sample size of 1,966 provides 80% power (2-sided alpha = 0.05) to detect a 2 mm Hg difference in systolic blood pressure between groups, assuming a 15 mm Hg standard deviation, after allowing for a 10% dropout rate. DISCUSSION: This trial will provide evidence on an innovative intervention to potentially reduce salt intake and blood pressure in people with hypertension. The intervention caters to individual preferences by encouraging sustainable switches to similar but lower-salt products. If effective, the intervention will be readily scalable at low cost by interfacing with existing online retail environments.

Testing the Feasibility and Dietary Impact of a "Produce Prescription" Program for Adults with Undermanaged Type 2 Diabetes and Food Insecurity in Australia.

BACKGROUND: There is growing interest in Food is Medicine programs that incorporate food-based interventions into health care for patients with diet-related conditions. OBJECTIVES: We aimed to test the feasibility of a "produce prescription" program and its impact on diet quality for people with type 2 diabetes (T2D) experiencing food insecurity in Australia. METHODS: We conducted a pre-post intervention study in n = 50 adults experiencing food insecurity with T2D and glycated hemoglobin (HbA1c) ≥8%. Once enrolled, participants received healthy food boxes weekly free of charge, with the contents sufficient to create 2 meals/d, 5 d/wk for the entire household, over 12 wk. Participants were also provided with tailored recipes and behavioral change support. The primary outcome was change in diet quality assessed by 24-h diet recalls. Secondary outcomes included differences in cardiovascular disease risk factors; blood micronutrients; and feasibility indicators. Differences in the baseline and 12-wk mean primary and secondary outcomes were assessed by paired t tests. RESULTS: Participants were older adults with mean ± SD age 63 ± 9 y (range: 40-87 y), HbA1c 9.8% ± 1.5%, and 46% were female. Overall, 92% completed the final study follow-up for the primary outcome. Compared with baseline, diet quality improved at week 12, with an increase in the mean overall diet quality (Alternate Healthy Eating Index score) of 12.9 (95% CI: 8.7, 17.1; P < 0.001), driven by significant improvements in vegetables, fruits, whole grains, red/processed meat, trans fat, sodium, and alcohol consumption. Blood lipids also improved (total:HDL cholesterol: -0.48; 95% CI: -0.72, -0.24; P < 0.001), and there was significant weight loss (-1.74 kg; 95% CI: -2.80, -0.68 kg, P = 0.002), but no changes in other clinical outcomes. Participants reported high levels of satisfaction with the program. CONCLUSIONS: These findings provide strong support for an adequately powered randomized trial to assess effects of produce prescription as an innovative approach to improve clinical management among individuals with T2D experiencing food insecurity. This trial was registered at https://anzctr.org.au/ as ACTRN12621000404820.

An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.

Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making it challenging for consumers and policy makers to monitor fiber consumption. Here, we developed a machine learning approach for automated and systematic prediction of fiber content using nutrient information commonly available on packaged products. An Australian packaged food dataset with known fiber content information was divided into training (n = 8986) and test datasets (n = 2455). Utilization of a k-nearest neighbors machine learning algorithm explained a greater proportion of variance in fiber content than an existing manual fiber prediction approach (R2 = 0.84 vs. R2 = 0.68). Our findings highlight the opportunity to use machine learning to efficiently predict the fiber content of packaged products on a large scale.

Deconstructing the Supermarket: Systematic Ingredient Disaggregation and the Association between Ingredient Usage and Product Health Indicators for 24,229 Australian Foods and Beverages.

Unhealthy diets are underpinned by the over-consumption of packaged products. Data describing the ingredient composition of these products is limited. We sought to define the ingredients used in Australian packaged foods and beverages and assess associations between the number of ingredients and existing health indicators. Statements of ingredients were disaggregated, creating separate fields for each ingredient and sub-ingredient. Ingredients were categorised and the average number of ingredients per product was calculated. Associations between number of ingredients and both the nutrient-based Health Star Rating (HSR) and the NOVA level-of-processing classification were assessed. A total of 24,229 products, listing 233,113 ingredients, were included. Products had between 1 and 62 ingredients (median (Interquartile range (IQR)): 8 (3-14)). We identified 915 unique ingredients, which we organised into 17 major and 138 minor categories. 'Additives' were contained in the largest proportion of products (64.6%, (15,652/24,229)). The median number of ingredients per product was significantly lower in products with the optimum 5-star HSR (when compared to all other HSR score groups, p-value < 0.001) and significantly higher in products classified as ultra-processed (when compared to all other NOVA classification groups, p-value < 0.001). There is a strong relationship between the number of ingredients in a product and indicators of nutritional quality and level of processing.

Projected effects on salt purchases following implementation of a national salt reduction policy in South Africa.

OBJECTIVE: To assess the contribution of different food groups to total salt purchases and to evaluate the estimated reduction in salt purchases if mandatory maximum salt limits in South African legislation were being complied with. DESIGN: This study conducted a cross-sectional analysis of purchasing data from Discovery Vitality members. Data were linked to the South African FoodSwitch database to determine the salt content of each food product purchased. Food category and total annual salt purchases were determined by summing salt content (kg) per each unit purchased across a whole year. Reductions in annual salt purchases were estimated by applying legislated maximum limits to product salt content. SETTING: South Africa. PARTICIPANTS: The study utilised purchasing data from 344 161 households, members of Discovery Vitality, collected for a whole year between January and December 2018. RESULTS: Vitality members purchased R12·8 billion worth of food products in 2018, representing 9562 products from which 264 583 kg of salt was purchased. The main contributors to salt purchases were bread and bakery products (23·3 %); meat and meat products (19 %); dairy (12·2 %); sauces, dressings, spreads and dips (11·8 %); and convenience foods (8·7 %). The projected total quantity of salt that would be purchased after implementation of the salt legislation was 250 346 kg, a reduction of 5·4 % from 2018 levels. CONCLUSIONS: A projected reduction in salt purchases of 5·4 % from 2018 levels suggests that meeting the mandatory maximum salt limits in South Africa will make a meaningful contribution to reducing salt purchases.

Feasibility and validity of using death surveillance data and SmartVA for fact and cause of death in clinical trials in rural China: a substudy of the China salt substitute and stroke study (SSaSS).

BACKGROUND: In rural China, mortality surveillance data may be an alternative to primary data collection in clinical trials; SmartVA (verbal autopsy) is also a potential alternative for endpoint adjudication. The feasibility and validity of both need to be assessed. METHODS: We used mortality data from the first 24 months of the China Salt Substitute and Stroke Study (SSaSS) trial and assessed the agreement between (1) mortality surveillance data and face-to-face visits for fact of death; (2) mortality surveillance data and SSaSS adjudication for causes of death; (3) SmartVA and SSaSS adjudication for causes of death; (4) cause-specific mortality fraction of different methods. Face-to-face visits and SSaSS adjudication were taken as reference methods. The agreement was measured by sensitivity, specificity and positive predictive value (PPV) across different 10th Revision of International Statistical Classification of Diseases chapters. RESULTS: One thousand three hundred and sixty-five deaths were included. Mortality surveillance data had 82% sensitivity for fact of death and 81% sensitivity for causes of death, with substantial variances across different disease types and reasonable quality for circulatory death (91% sensitivity and 94% PPV). The sensitivity of SmartVA for causes of death was 61%, with reasonable quality for deaths of external causes of morbidity (90% sensitivity). The leading causes of death from different sources were the same with some variances in the fractions. CONCLUSION: Using mortality surveillance data for fact of death in clinical trials need to account for under-reporting. A face-to-face visit to all participants at the completion of trials may be warranted. Neither mortality surveillance data nor SmartVA provided valid data source for endpoint events.

Sodium concentration of pre-packaged foods sold in Hong Kong.

OBJECTIVE: To describe the Na concentration of pre-packaged foods available in Hong Kong. DESIGN: The Na concentrations (mg/100 g or mg/100 ml or per serving) of all pre-packaged foods available for sale in major supermarket chains in Hong Kong were obtained from the 2017 Hong Kong FoodSwitch database. Median and interquartile range (IQR) of Na concentration for different food groups and the proportion of foods and beverages considered low and high Na (<120 mg/100 g or mg/100 ml and >600 mg/100 g or mg/100 ml, respectively) were determined. SETTING: Hong Kong. PARTICIPANTS: Not applicable. RESULTS: We analysed 11 518 pre-packaged products. 'Fruit and vegetables (including table salt)' had the highest variability in Na concentration ranging from 0 to 39 000 mg/100 g, followed by 'sauces, dressings, spreads and dips' ranging from 0 to 34 130. The latter also had the highest median Na concentration (mg/100 g or mg/100 ml) at 1180 (IQR 446-3520), followed by meat and meat products (median 800, IQR 632-1068) and snack foods (median 650, IQR 453-926). Fish and fish products (median 531, 364-791) and meat and meat products (median 444, IQR 351-593) had the highest Na concentration per serving. Overall, 46·7 and 26·7 % of products were low and high in Na, respectively. CONCLUSIONS: Our results can serve as a baseline for food supply interventions in Hong Kong. We have identified several food groups as priority areas for reformulation, demonstrating the potential of such initiatives to improve the healthiness of the food supply in Hong Kong.

Association between prediabetes and risk of all cause mortality and cardiovascular disease: updated meta-analysis.

OBJECTIVE: To evaluate the associations between prediabetes and the risk of all cause mortality and incident cardiovascular disease in the general population and in patients with a history of atherosclerotic cardiovascular disease. DESIGN: Updated meta-analysis. DATA SOURCES: Electronic databases (PubMed, Embase, and Google Scholar) up to 25 April 2020. REVIEW METHODS: Prospective cohort studies or post hoc analysis of clinical trials were included for analysis if they reported adjusted relative risks, odds ratios, or hazard ratios of all cause mortality or cardiovascular disease for prediabetes compared with normoglycaemia. Data were extracted independently by two investigators. Random effects models were used to calculate the relative risks and 95% confidence intervals. The primary outcomes were all cause mortality and composite cardiovascular disease. The secondary outcomes were the risk of coronary heart disease and stroke. RESULTS: A total of 129 studies were included, involving 10 069 955 individuals for analysis. In the general population, prediabetes was associated with an increased risk of all cause mortality (relative risk 1.13, 95% confidence interval 1.10 to 1.17), composite cardiovascular disease (1.15, 1.11 to 1.18), coronary heart disease (1.16, 1.11 to 1.21), and stroke (1.14, 1.08 to 1.20) in a median follow-up time of 9.8 years. Compared with normoglycaemia, the absolute risk difference in prediabetes for all cause mortality, composite cardiovascular disease, coronary heart disease, and stroke was 7.36 (95% confidence interval 9.59 to 12.51), 8.75 (6.41 to 10.49), 6.59 (4.53 to 8.65), and 3.68 (2.10 to 5.26) per 10 000 person years, respectively. Impaired glucose tolerance carried a higher risk of all cause mortality, coronary heart disease, and stroke than impaired fasting glucose. In patients with atherosclerotic cardiovascular disease, prediabetes was associated with an increased risk of all cause mortality (relative risk 1.36, 95% confidence interval 1.21 to 1.54), composite cardiovascular disease (1.37, 1.23 to 1.53), and coronary heart disease (1.15, 1.02 to 1.29) in a median follow-up time of 3.2 years, but no difference was seen for the risk of stroke (1.05, 0.81 to 1.36). Compared with normoglycaemia, in patients with atherosclerotic cardiovascular disease, the absolute risk difference in prediabetes for all cause mortality, composite cardiovascular disease, coronary heart disease, and stroke was 66.19 (95% confidence interval 38.60 to 99.25), 189.77 (117.97 to 271.84), 40.62 (5.42 to 78.53), and 8.54 (32.43 to 61.45) per 10 000 person years, respectively. No significant heterogeneity was found for the risk of all outcomes seen for the different definitions of prediabetes in patients with atherosclerotic cardiovascular disease (all P>0.10). CONCLUSIONS: Results indicated that prediabetes was associated with an increased risk of all cause mortality and cardiovascular disease in the general population and in patients with atherosclerotic cardiovascular disease. Screening and appropriate management of prediabetes might contribute to primary and secondary prevention of cardiovascular disease.

The Effects of a Supermarket-Based Intervention on the Nutritional Quality of Private-Label Foods: A Prospective Study.

Private-label products, products owned by supermarkets, are a growing area of the food supply. The aim of this study was to assess the effect of an intervention that provided an Australian supermarket ('intervention supermarket') with comparative nutrition data to improve the healthiness of their private-label range. Between 2015 and 2016, the intervention supermarket received reports that ranked the nutritional quality of their products against competitors. Changes in the nutrient content (sodium, sugar, saturated fat, energy and Health Star Rating) of products from the intervention supermarket between 2015 and 2018 were compared against changes achieved for three comparators (private-label products from two other supermarkets and branded products). The intervention supermarket achieved a significantly greater reduction in the sodium content of their products relative to all three comparators, which ranged between -104 and -52 mg/100 g (all p < 0.05). Conversely, the three comparators each achieved a greater relative reduction in the sugar content of their products by between -3.5 and -1.6 g/100 g (all p < 0.05). One of the comparators also had a greater relative reduction in the saturated fat and energy content of their products compared to the intervention supermarket (both p <0.05). There were negligible differences in the Health Star Rating of products between the intervention supermarket and comparators (all p > 0.05). Providing comparative nutrition information to a supermarket may be ineffective in improving the healthiness of their private-label products, likely due to competing factors that play a role in the decision-making process behind product reformulation and product discontinuation/innovation.

Interim effects of salt substitution on urinary electrolytes and blood pressure in the China Salt Substitute and Stroke Study (SSaSS).

The Salt Substitute and Stroke Study is an ongoing 5-year large-scale cluster randomized trial investigating the effects of potassium-enriched salt substitute compared to usual salt on the risk of stroke. The study involves 600 villages and 20,996 individuals in rural China. Intermediate risk markers were measured in a random subsample of villages every 12 months over 3 years to track progress against key assumptions underlying study design. Measures of 24-hour urinary sodium, 24-hour urinary potassium, blood pressure and participants' use of salt substitute were recorded, with differences between intervention and control groups estimated using generalized linear mixed models. The primary outcome of annual event rate in the two groups combined was determined by dividing confirmed fatal and non-fatal strokes by total follow-up time in the first 2 years. The mean differences (95% CI) were -0.32 g (-0.68 to 0.05) for 24-hour urinary sodium, +0.77 g (+0.60 to +0.93) for 24-hour urinary potassium, -2.65 mmHg (-4.32 to -0.97) for systolic blood pressure and +0.30 mmHg (-0.72 to +1.32) for diastolic blood pressure. Use of salt substitute was reported by 97.5% in the intervention group versus 4.2% in the control group (P<.0001). The overall estimated annual event rate for fatal and non-fatal stroke was 3.2%. The systolic blood pressure difference and the annual stroke rate were both in line with the statistical assumptions underlying study design. The trial should be well placed to address the primary hypothesis at completion of follow-up.

Prospective associations between depressive symptoms and cognitive functions in middle-aged and elderly Chinese adults.

OBJECTIVE: To examine prospective associations of clinically relevant depressive symptoms with cognitive functions and rates of cognitive decline among Chinese adults aged 45 years and older. METHODS: Data was from the China Health and Retirement Longitudinal Study (CHARLS) with a follow-up of 4 years. Based on the Chinese version of 10-item Center for Epidemiologic Studies Depression Scale (CESD-10), clinically relevant depressive symptoms were defined with a CESD-10 score≥10 points. Cognitive functions were measured in three domains: episodic memory, mental status and global cognition. Linear mixed models were used to assess the associations between clinically relevant depressive symptoms and cognitive functions. RESULTS: A total of 7335 participants (50.10% men; mean age: 57.47) were included in analyses. Participants with clinically relevant depressive symptoms showed poorer episodic memory (ß=-0.35; 95% CI:-0.41, -0.29), mental status (ß=-0.48; 95% CI: -0.57, -0.39), and global cognition (ß=-0.82; 95% CI: -0.94, -0.70) during the follow-up. Compared with counterparts, rates of decline in episodic memory, mental status, and global cognition increased by 0.04 (ß=0.04; 95% CI: 0.02, 0.06), 0.06 (ß=0.06; 95% CI: 0.02, 0.09) and 0.11 (ß=0.11; 95% CI: 0.06, 0.15) units per year in participants with clinically relevant depressive symptoms. LIMITATIONS: A major limitation is that clinically relevant depressive symptoms were assessed by a screening tool and the follow-up was short. CONCLUSION: More severe clinically relevant depressive symptoms were associated with poorer cognitive functions and moderately faster cognitive decline in episodic memory, mental status and global cognition in middle-aged and elderly Chinese adults.