Associations of the glycaemic index and the glycaemic load with risk of type 2 diabetes in 127 594 people from 20 countries (PURE): a prospective cohort study.

BACKGROUND: The association between the glycaemic index and the glycaemic load with type 2 diabetes incidence is controversial. We aimed to evaluate this association in an international cohort with diverse glycaemic index and glycaemic load diets. METHODS: The PURE study is a prospective cohort study of 127 594 adults aged 35-70 years from 20 high-income, middle-income, and low-income countries. Diet was assessed at baseline using country-specific validated food frequency questionnaires. The glycaemic index and the glycaemic load were estimated on the basis of the intake of seven categories of carbohydrate-containing foods. Participants were categorised into quintiles of glycaemic index and glycaemic load. The primary outcome was incident type 2 diabetes. Multivariable Cox Frailty models with random intercepts for study centre were used to calculate hazard ratios (HRs). FINDINGS: During a median follow-up of 11·8 years (IQR 9·0-13·0), 7326 (5·7%) incident cases of type 2 diabetes occurred. In multivariable adjusted analyses, a diet with a higher glycaemic index was significantly associated with a higher risk of diabetes (quintile 5 vs quintile 1; HR 1·15 [95% CI 1·03-1·29]). Participants in the highest quintile of the glycaemic load had a higher risk of incident type 2 diabetes compared with those in the lowest quintile (HR 1·21, 95% CI 1·06-1·37). The glycaemic index was more strongly associated with diabetes among individuals with a higher BMI (quintile 5 vs quintile 1; HR 1·23 [95% CI 1·08-1·41]) than those with a lower BMI (quintile 5 vs quintile 1; 1·10 [0·87-1·39]; p interaction=0·030). INTERPRETATION: Diets with a high glycaemic index and a high glycaemic load were associated with a higher risk of incident type 2 diabetes in a multinational cohort spanning five continents. Our findings suggest that consuming low glycaemic index and low glycaemic load diets might prevent the development of type 2 diabetes. FUNDING: Full funding sources are listed at the end of the Article.

Transcranial random noise stimulation (tRNS) improves hot and cold executive functions in children with attention deficit-hyperactivity disorder (ADHD).

Children with attention deficit-hyperactivity disorder (ADHD) have impaired hot and cold executive functions, which is thought to be related to impaired ventromedial and dorsolateral prefrontal cortex (vmPFC and dlPFC) functions. The present study aimed to assess the impact concurrent stimulation of dlPFC and vmPFC through transcranial random noise stimulation (tRNS), a non-invasive brain stimulation tool which enhances cortical excitability via application of alternating sinusoidal currents with random frequencies and amplitudes over the respective target regions on hot and cold executive functions. Eighteen children with ADHD received real and sham tRNS over the left dlPFC and the right vmPFC in two sessions with one week interval. The participants performed Circle Tracing, Go/No-Go, Wisconsin Card Sorting, and Balloon Analogue Risk Tasks during stimulation in each session. The results showed improved ongoing inhibition, prepotent inhibition, working memory, and decision making, but not set-shifting performance, during real, as compared to sham stimulation. This indicates that simultaneous stimulation of the dlPFC and the vmPFC improves hot and cold executive functions in children with ADHD.

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service.

The healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping community health and overall quality of life. Traditional healthcare methods, often characterized by limitations in disease prevention, predominantly react to illnesses after their onset rather than proactively averting them. The advent of Artificial Intelligence (AI) has ushered in a wave of transformative applications designed to enhance healthcare services, with Machine Learning (ML) as a noteworthy subset of AI. ML empowers computers to analyze extensive datasets, while Deep Learning (DL), a specific ML methodology, excels at extracting meaningful patterns from these data troves. Despite notable technological advancements in recent years, the full potential of these applications within medical contexts remains largely untapped, primarily due to the medical community's cautious stance toward novel technologies. The motivation of this paper lies in recognizing the pivotal role of the healthcare sector in community well-being and the necessity for a shift toward proactive healthcare approaches. To our knowledge, there is a notable absence of a comprehensive published review that delves into ML, DL and distributed systems, all aimed at elevating the Quality of Service (QoS) in healthcare. This study seeks to bridge this gap by presenting a systematic and organized review of prevailing ML, DL, and distributed system algorithms as applied in healthcare settings. Within our work, we outline key challenges that both current and future developers may encounter, with a particular focus on aspects such as approach, data utilization, strategy, and development processes. Our study findings reveal that the Internet of Things (IoT) stands out as the most frequently utilized platform (44.3 %), with disease diagnosis emerging as the predominant healthcare application (47.8 %). Notably, discussions center significantly on the prevention and identification of cardiovascular diseases (29.2 %). The studies under examination employ a diverse range of ML and DL methods, along with distributed systems, with Convolutional Neural Networks (CNNs) being the most commonly used (16.7 %), followed by Long Short-Term Memory (LSTM) networks (14.6 %) and shallow learning networks (12.5 %). In evaluating QoS, the predominant emphasis revolves around the accuracy parameter (80 %). This study highlights how ML, DL, and distributed systems reshape healthcare. It contributes to advancing healthcare quality, bridging the gap between technology and medical adoption, and benefiting practitioners and patients.

Case report: Endovascular treatment of transplant renal artery stenosis in patient with normal color duplex ultrasound of the renal artery.

Key Clinical Message: Proper diagnosis and treatment of vascular stenosis which is a possible complication of renal transplant is important in improving patients' quality of life and prognosis. Abstract: One known consequence among recipients of renal transplants is graft renal artery stenosis. Early identification and therapy are crucial to avoid graft malfunction and the serious consequences that might arise due to elevated hypertension in several organs. We report a rare case of transplant renal artery stenosis in a mid-aged woman who presented with edema, hypertension, and increased creatinine 2 months after kidney transplant. The patient had normal renal arterial resistive index (RI) and perfusion index (PI), and there was only a modest decrease in perfusion on duplex ultrasound. Following the patient's renal stenting treatment, angiographic resolution was observed. After 14 days of regulated blood pressure following renal artery stenting, she was discharged from the hospital with her edema resolved. Considering complications in patients with clinical manifestations such as hypertension resistant to treatment and graft dysfunction, vascular stenosis is a notable issue to consider even in the context of normal renal arterial RI, PI, and duplex ultrasound. Proper diagnosis and treatment are of importance to improve patients' quality of life and prognosis.

Associations of dietary copper intake with cardiovascular disease and mortality: findings from the Chinese Perspective Urban and Rural Epidemiology (PURE-China) Study.

BACKGROUND: Previous in vitro and animal experiments have shown that copper plays an important role in cardiovascular health. Dietary copper is the main source of copper in the human body and the association between dietary copper and cardiovascular disease remains unclear. Our study aimed to investigate the associations of dietary copper intake with the risk of major cardiovascular disease incidence, cardiovascular disease mortality, and all-cause mortality in Chinese adults. METHODS: Our study is based on Prospective Urban Rural Epidemiology China (PURE-China), a large prospective cohort study of 47 931 individuals aged 35-70 years from 12 provinces in China. Dietary intake was recorded using a validated semi-quantitative food frequency questionnaire designed specifically for the Chinese population. The daily intake of copper was obtained by multiplying the daily food intake with the nutrient content provided in the Chinese Food Composition Table (2002). Cox frailty proportional hazards models were developed to evaluate the association between dietary copper intake with mortality, major cardiovascular disease events, and their composite. RESULTS: A total of 45 101 participants (mean age: 51.1 ± 9.7 years old) with complete information were included in the current study. The mean dietary copper intake was 2.6 ± 1.1 mg/d. During the 482 833 person-years of follow-up, 2 644(5.9%) participants died, 4 012(8.9%) developed new cardiovascular diseases, and 5 608(12.4%) participants experienced the composite endpoint. Compared with those in the first and second quartile of dietary copper intake, individuals in the third and fourth quantile had higher risk of composite outcomes, all-cause death, cardiovascular disease death, major cardiovascular disease and stroke occurrences. The associations remained similar in the subgroup and sensitivity analyses. CONCLUSIONS: Our findings demonstrated that excessive dietary copper intake was associated with higher risks of death and cardiovascular diseases in Chinese adults. Further studies in populations with different dietary characteristics are needed to obtain dose-response relationships and to refine global dietary recommendations.

Association of Promoter Methylation Patterns with Expression of MAPK14 in Tissue of Papillary Thyroid Cancer Patients.

BACKGROUND: Thyroid cancer is one of the most prevalent malignancies worldwide. Genetic and epigenetic alterations are one of the main causes of thyroid tumor that is responsible to the activation of oncogenes as well as the inactivation of tumor suppressor genes. This research aimed to investigate the relationship of promoter methylation patterns with the expression of P38α in Iranian patients with thyroid cancer. METHODS: We collected 40 thyroid tumor samples and 40 adjacent normal thyroid samples from 40 Iranian patients with papillary thyroid cancer. The promoter methylation pattern of P38α gene was investigated by methylation-sensitive high-resolution melting (MS-HRM) method. Moreover, mRNA expression of P38α was investigated by Real-Time PCR method. Further validation of the obtained results was performed by the Cancer Genome Atlas (TCGA) dataset. RESULTS: The obtained results indicated that the expression of the P38α (MAPK-14) gene in the thyroid cancer sample was considerably higher than tumor margin sample. Also, P38α gene promoter methylation was higher in thyroid margin tissue as compared to tumor tissue. These results were additionally confirmed by TCGA analysis. The receiver operating characteristic (ROC) curve analysis showed a high accuracy of P38α gene expression as a diagnostic biomarker for thyroid malignancy. CONCLUSION: Our study demonstrated that the P38α expression level gene was associated with thyroid cancer pathogenesis among the Iranian population. We suggested that this gene expression might be used as a biomarker for diagnosis of thyroid tumor.

The role of polycystic ovary syndrome in preclinical left ventricular diastolic dysfunction: an echocardiographic approach: a systematic review and meta-analysis.

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of childbearing age, causing hormonal imbalances, reproductive issues, and metabolic disturbances. Women with PCOS have an increased risk of cardiovascular disease due to insulin resistance, obesity, and hyperandrogenism. Detecting impaired left ventricular (LV) function is important in managing this condition. Echocardiography, a non-invasive imaging technique, can effectively detect LV dysfunction. Aim: The goal of this systematic review was to assess whether there are any variations in echocardiographic measures between women with PCOS and those without the condition in order to determine the potential impact of PCOS on LV function. Methods: This review followed the PRISMA reporting guidelines. A thorough search of databases including PubMed, Scopus, Web of Science, and Cochrane was conducted. The quality of the selected studies was assessed using the Joanna Briggs Institute appraisal instruments. After applying strict eligibility criteria, data were extracted and organized in Microsoft Excel sheets. Review Manager (RevMan) software was used for the analysis. Results: Analysis of 29 studies revealed significant differences in echocardiographic measures related to diastolic function between women with PCOS and healthy controls. However, there were no significant differences in measures of systolic function. Conclusion: These findings indicate that PCOS may be linked to impaired LV function, thereby increasing the risk of cardiovascular disease. Further research is necessary to better understand this association and its clinical implications. Early detection and management of PCOS could potentially help prevent cardiovascular complications in affected women.

Individual- and supply-level macronutrient intakes are well correlated over a 50-year period (1961-2011) in 18 countries in Asia, North America, and Europe.

Reliable information on dietary trends is essential. We compared individual-level dietary estimates for total energy, carbohydrate, fat, and protein intake over time with national supply data from the Global Expanded Nutrient Supply Model (186 paired estimates from 1961 to 2011, 18 countries). We hypothesized that supply data would overestimate individual measures and that the two measures would be weakly correlated. Individual- and supply-level estimates were compared using Spearman correlation coefficients and linear mixed-effect models were used to estimate the differences between measures. Overall, the correlations between individual- and supply-level measures were moderate for energy (rs = 0.34) and carbohydrate (rs = 0.39), strong for fat (rs = 0.85), and protein (rs = 0.69). Trends in total energy measured by individual-level surveys and total energy supply were positively correlated in 38.9% of countries, whereas trends in macronutrients aligned between estimates in most countries. Supply-level dietary data overestimated individual-level intakes, especially in higher income countries in Europe and in the United States. In the United States, supply-level data exceeded individual-level estimates by 26.3% to 29.9% for energy, carbohydrate, and fat, whereas protein estimates were similar between measures. In Europe, supply-level estimates overestimated individual-level intake by 19.9% for energy, 17.0% for carbohydrate, 13.7% for fat, and 7.7% for protein, whereas estimates for energy and macronutrients were similar in Asia. In Asia and lower income countries, our findings generally support the use of supply-level data in the absence of individual-level data, though this finding may be related to smaller sample size and differences in underlying national statistics that inform supply data.

Diet, cardiovascular disease, and mortality in 80 countries.

AIMS: To develop a healthy diet score that is associated with health outcomes and is globally applicable using data from the Prospective Urban Rural Epidemiology (PURE) study and replicate it in five independent studies on a total of 245 000 people from 80 countries. METHODS AND RESULTS: A healthy diet score was developed in 147 642 people from the general population, from 21 countries in the PURE study, and the consistency of the associations of the score with events was examined in five large independent studies from 70 countries. The healthy diet score was developed based on six foods each of which has been associated with a significantly lower risk of mortality [i.e. fruit, vegetables, nuts, legumes, fish, and dairy (mainly whole-fat); range of scores, 0-6]. The main outcome measures were all-cause mortality and major cardiovascular events [cardiovascular disease (CVD)]. During a median follow-up of 9.3 years in PURE, compared with a diet score of ≤1 points, a diet score of ≥5 points was associated with a lower risk of mortality [hazard ratio (HR) 0.70; 95% confidence interval (CI) 0.63-0.77)], CVD (HR 0.82; 0.75-0.91), myocardial infarction (HR 0.86; 0.75-0.99), and stroke (HR 0.81; 0.71-0.93). In three independent studies in vascular patients, similar results were found, with a higher diet score being associated with lower mortality (HR 0.73; 0.66-0.81), CVD (HR 0.79; 0.72-0.87), myocardial infarction (HR 0.85; 0.71-0.99), and a non-statistically significant lower risk of stroke (HR 0.87; 0.73-1.03). Additionally, in two case-control studies, a higher diet score was associated with lower first myocardial infarction [odds ratio (OR) 0.72; 0.65-0.80] and stroke (OR 0.57; 0.50-0.65). A higher diet score was associated with a significantly lower risk of death or CVD in regions with lower than with higher gross national incomes (P for heterogeneity <0.0001). The PURE score showed slightly stronger associations with death or CVD than several other common diet scores (P < 0.001 for each comparison). CONCLUSION: A diet comprised of higher amounts of fruit, vegetables, nuts, legumes, fish, and whole-fat dairy is associated with lower CVD and mortality in all world regions, especially in countries with lower income where consumption of these foods is low.

Dietary intake and cardiovascular outcomes in patients with chronic vascular disease: insights from the COMPASS trial cohort.

AIMS: Patients with coronary artery disease (CAD) and patients with peripheral artery disease (PAD) are at risk for major adverse cardiovascular events (MACE) and major adverse limb events (MALE). There are limited data regarding dietary patterns and the risk of recurrent MACE and MALE in CAD and PAD patients. We aimed to identify dietary patterns associated with MACE and MALE in patients with CAD and/or PAD. METHODS AND RESULTS: We analysed data collected from patients enrolled into the Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) trial, in which diet was assessed by a short food frequency questionnaire (FFQ) at baseline. Two dietary pattern scores, the modified Alternate Healthy Eating Index (mAHEI) and Mediterranean Diet Score (mMDS), were calculated. We tested the association between mAHEI and mMDS and the incidence of MACE and/or MALE. The mean mAHEI score was 23.0 ± 7.7 (out of 70) overall and was similar comparing CAD and PAD patients. The incidence of MACE or MALE was 6.3% in the lowest diet quality quartile (as assessed by mAHEI) compared with 4.2% in the highest quartile over 30 months. In the fully adjusted model, the hazard ratio of a low diet quality (Quartile 1) compared with the highest (Quartile 4) for MACE or MALE was 1.27 (95% CI: 1.08-1.49; P = 0.004, Q1 vs. Q4). This excess hazard was primarily driven by higher MACE in both the CAD and PAD cohorts. CONCLUSIONS: Poor diet quality as assessed by the mAHEI is independently associated with a higher risk of recurrent MACE and MALE in patients with chronic CAD and/or PAD.

There are limited data regarding dietary patterns and the risk of recurrent major adverse cardiovascular and limb complications in patients with coronary artery disease (CAD) and peripheral artery disease (PAD). We show thatA low-quality diet is associated with a higher risk of cardiovascular and limb-related complicationsThis elevated risk is driven by higher rates of heart attack, stroke, and cardiovascular death in patients with a low-quality diet.

Ultra-processed foods and mortality: analysis from the Prospective Urban and Rural Epidemiology study.

BACKGROUND: Higher intake of ultra-processed foods (UPFs) has been associated with increased risk of CVD and mortality in observational studies from Western countries but data from non-Western countries are limited. OBJECTIVES: We aimed to assess the association between consumption of UPFs and risk of mortality and major CVD in a cohort from multiple world regions. DESIGN: This analysis includes 138,076 participants without a history of CVD between the ages of 35 and 70 y living on 5 continents, with a median follow-up of 10.2 y. We used country-specific validated food-frequency questionnaires to determine individuals' food intake. We classified foods and beverages based on the NOVA classification into UPFs. The primary outcome was total mortality (CV and non-CV mortality) and secondary outcomes were incident major cardiovascular events. We calculated hazard ratios using multivariable Cox frailty models and evaluated the association of UPFs with total mortality, CV mortality, non-CV mortality, and major CVD events. RESULTS: In this study, 9227 deaths and 7934 major cardiovascular events were recorded during the follow-up period. We found a diet high in UPFs (≥2 servings/d compared with 0 intake) was associated with higher risk of mortality (HR: 1.28; 95% CI: 1.15, 1.42; P-trend < 0.001), CV mortality (HR: 1.17; 95% CI: 0.98, 1.41; P-trend = 0.04), and non-CV mortality (HR: 1.32; 95% CI 1.17, 1.50; P-trend < 0.001). We did not find a significant association between UPF intake and risk of major CVD. CONCLUSIONS: A diet with a high intake of UPFs was associated with a higher risk of mortality in a diverse multinational study. Globally, limiting the consumption of UPFs should be encouraged.

New insights of minimum requirement on legumes (Fabaceae sp.) daily intake in Malaysia.

BACKGROUND: Despite their low energy density and high nutrient content, legumes may be under-recognised as a beneficial food for the prevention and management of obesity and related diseases, such as cardiovascular disease (CVD). This study aims to analyse the moderation effect of legume intake on the relationship between BMI and the prevalence of CVD among the Malaysian adult population. METHODS: This study addressed communities of urban and rural Malaysia, including adults aged between 35 and 70 years old at the baseline recruitment. A series of standardised questionnaires were used to assess legume intake, history of comorbidities and socio-demographic information. Resting blood pressure measurements and physical examinations were performed to collect blood pressure and anthropometric data. Bivariate analysis was completed to determine the association between legume intake, socio-demographic characteristics and CVD prevalence. Moderation analysis was used to quantify the moderation effect of minimum daily legume intake on the relationship between BMI and CVD prevalence. RESULTS: This study found that those who consume less than 3 servings of legumes per day benefit from protective effects against CVD risk (POR = 0.56, 95% CI = 0.37 - 0.85). Moderation analysis of a minimum of three servings/day for the relationship between BMI and CVD prevalence showed significant effects. The group that benefited the most from this effect was those with a BMI in the range of 26 to 34 kg/m2. CONCLUSIONS: This study provides new insights into the recommendation for legume intake according to the relationship between BMI and the prevalence of CVD in Malaysian adults. This study recommends that those with a BMI of 26 to 34 kg/m2 should consume at least 3 servings of legumes per day to reduce the risk of CVD. Further prospective research is warranted to affirm these findings throughout the Malaysian population.

Changes in energy, macronutrient, and food consumption in 47 countries over the last 70 years (1950-2019): a systematic review and meta-analysis.

OBJECTIVES: We aimed to systematically examine trends in dietary energy, macronutrient, and food consumption in different geographic regions. METHODS: We searched Medline, Embase, CINAHL, and organizations for studies and reports using individual-level dietary assessments from 1950 to 2019 (PROSPERO CRD42022302843) and quantified changes using multivariable linear mixed-effects models. RESULTS: We identified 109 articles and reports from 47 countries, including Europe and Australasia (47% of studies), Asia (30%), Latin America (13%), the Middle East (6%), and North America (4%). In Southeast and East Asia, carbohydrate intake decreased, whereas fat consumption increased; the opposite pattern occurred in North America; and fat decreased while carbohydrate intake remained stable in Europe and Australasia. Consumption of carbohydrate and fat were stable in South Asia, Latin America, and the Middle East, but data were limited in these regions. A greater increase in national gross domestic product over time was associated with decreased carbohydrate and increased fat and protein intake. Dietary saturated fatty acid intake decreased in Northern and Eastern Europe and was stable in other regions. Changes in food varied by region; East and Southeast Asia increased meat, fish, dairy, egg, fruit, and vegetable consumption and decreased intake of grains, roots and tubers, legumes, whereas North America decreased dairy and red meat but increased eggs, nuts, poultry, and vegetable oil intake. Intakes of fruits, nuts, legumes, and roots and tubers were below recommendations in most regions. CONCLUSIONS: Our findings indicate regional variations in dietary trends and identify countries that would benefit from nutritional policies aimed at decreasing lower-quality carbohydrate foods and increasing consumption of fruits, vegetables, nuts, legumes, and dairy.

The relationship between ultra-processed food intake and cardiometabolic risk factors in overweight and obese women: A cross-sectional study.

Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. Based on recent studies, one of the factors that can have detrimental effects on CVD is the consumption of ultra-processed foods (UPFs). The current study investigated the relationship between UPF intake and cardiometabolic risk factors among Iranian women. Methods: The current cross-sectional study was conducted on 391 women aged 18-65 years with a body mass index (BMI) ≥ 25 kg/m2. Dietary intake was assessed using a 147-item food frequency questionnaire (FFQ). Anthropometric and biochemistry parameters were also collected. UPFs were identified using the NOVA classification. Results: In the present study, women had a mean (standard deviation) age of 36.67 (9.10) years and the mean BMI of 31.26 (4.29) kg/m2. According to our findings, there was a significant association between UPF consumption and transforming growth factor (TGF) (ß: 0.101, 95% CI: 0.023, 0.180, p = 0.012), atherogenic coefficient (AC) (ß: 0.011, 95% CI: 0.001, 0.032, p = 0.034), visceral fat level (VFL) (ß: 0.006, 95% CI: -0.017, 0.029, p = 0.076), and the quantitative insulin sensitivity check index (QUICKI) (ß: -3.775, 95%CI: 0.001, 0.001, p = 0.042). Conclusion: In conclusion, an increase in consumption of one gram of UPFs is associated with an increase in TGF, AC, and VFL but with a decrease in QUICKI. Despite this, further experimental studies are necessary to draw a more definite conclusion and disentangle the mechanisms by which UPFs may affect health.

Modifiable risk factors for prostate cancer in low- and lower-middle-income countries: a systematic review and meta-analysis.

BACKGROUND: Most of the epidemiological data on prostate cancer risk factors come from high-income countries (HIC). Reducing exposure to prostate cancer modifiable risk factors may significantly lower PCa morbidity and mortality in LIC and MIC. The objective of this study was to summarize the evidence on modifiable risk factors (RFs) for PCa in LIC and lower-middle-income countries (LMIC). METHODS: We conducted a systematic search on MEDLINE, EMBASE, and Global Health databases. We selected case-control and cohort studies from 2010 onwards that studied modifiable RFs for PCa in LIC and LMIC with a population of 30 million or more, as defined by the World Bank in January 2021. Risk of bias was assessed by the Ottawa-Newcastle tool. Individual study estimates were pooled when estimates were available for at least two studies. RESULTS: 5740 studies were initially identified; 16 studies met inclusion criteria. All were case-control studies except one retrospective cohort study. Higher fat intake was associated with a higher risk of PCa incidence with an odds ratio (OR) of 3.13 (95% CI 1.33-7.33). Higher vegetable intake (OR 0.48, 95% CI 0.24-0.97) and tea consumption (OR 0.51, 95% CI 0.32-0.83) were associated with a lower risk for PCa. There was no association between fruits, fish, and chicken consumption and risk of PCa. Alcohol consumption, smoking, red meat intake, and a BMI ≥ 25-30 kg/m2 showed a trend towards an increased risk, although these were not statistically significant. CONCLUSIONS: In LIC and LMIC, high fat intake was associated with higher risk of PCa while a diet rich in vegetables and tea intake was associated with a lower risk. Future prospective studies will be important to elucidate whether other modifiable risk factors for PCa specific to LIC and LMIC can be identified to inform impactful and cost-effective preventive strategies in these countries.

Relationship of parental feeding practices and diet with children's diet among South Asians in Canada.

BACKGROUND: South Asian children's diets are considered unhealthy, yet the relationship with food parenting among South Asians is understudied. METHODS: In a cross-sectional study, questionnaires were administered to dyads of Canadian South Asian elementary and high school children and a parent. Relationships between parental factors (perceived responsibility, restriction, pressure to eat, monitoring, home food environment, nutrition knowledge and intake of fruits and vegetables (FV), sugary beverages (SB) and sweets and fast foods (SWFF) and children's intake of FV, SB and SWFF were assessed by linear regression adjusted for sociodemographics. Subgroup differences by children's age and acculturation were explored by interaction analysis. RESULTS: 291 children (age 9.8 ± 3.2 years) had mean daily intake frequencies of 3.1 ± 2.0 FV, 1.0 ± 0.9 SB and 2.1 ± 1.5 SWFF. Positive associations were found between parent and child intake of FV (standardized beta (ß) = 0.230, [95%CI 0.115, 0.345], p < 0.001), SB (ß = 0.136 [0.019, 0.252], p = 0.02), and SWFF (ß = 0.167 [0.052, 0.282], p = 0.005). Parental monitoring was associated with lower children's SWFF intake (ß = -0.131 [-0.248, -0.015], p = 0.03). Among those expressing less Western culture, parental SWFF intake was associated with child's SB intake (ß = 0.255 [0.085, 0.425], p = 0.004). Among those expressing less traditional culture, positive home food environment was associated with lower child SWFF intake (ß = -0.208 [-0.374, -0.042], p = 0.015). CONCLUSION: South Asian children's diets have stronger relationships with their parents' diets than with food parenting practices or nutrition knowledge, though parental monitoring was associated with lower unhealthy food intake. However, with greater acculturation, the home food environment was more important for unhealthy food intake.

Development and Comparability of a Short Food-Frequency Questionnaire to Assess Diet in Prostate Cancer Patients: The Role of Androgen Deprivation Therapy in CArdiovascular Disease - A Longitudinal Prostate Cancer Study (RADICAL PC) Substudy.

BACKGROUND: There are few concise tools to evaluate dietary habits in men with prostate cancer in Canada. OBJECTIVE: The aim was to develop a short food-frequency questionnaire (SFFQ) in a cohort of prostate cancer patients. METHODS: A total of 130 men with prostate cancer completed the SFFQ and a validated comprehensive food-frequency questionnaire (CFFQ). Both questionnaires were administered at baseline and 6 mo later. RESULTS: We found good correlation between the SFFQ and the CFFQ for seafood, dairy, egg, fruits, potatoes, grains, soft drinks, and processed meat (Spearman rank correlation >0.5). Moderate correlation was found for meat, sweets, vegetables, protein, and carbohydrates (Spearman rank correlation: 0.3-0.5). We found a weaker correlation for total fat measured by SFFQ and CFFQ (Spearman rank correlation <0.3). There was adequate reproducibility during the 6-mo follow-up among all food groups and nutrients, with the exception of meat. CONCLUSIONS: Our SFFQ can be considered an appropriate tool to be used for measuring the habitual dietary intake of prostate cancer patients. This trial was registered at www.clinicaltrials.gov as NCT03127631.

Association of ultra-processed food intake with risk of inflammatory bowel disease: prospective cohort study.

OBJECTIVE: To evaluate the relation between intake of ultra-processed food and risk of inflammatory bowel disease (IBD). DESIGN: Prospective cohort study. SETTING: 21 low, middle, and high income countries across seven geographical regions (Europe and North America, South America, Africa, Middle East, south Asia, South East Asia, and China). PARTICIPANTS: 116 087 adults aged 35-70 years with at least one cycle of follow-up and complete baseline food frequency questionnaire (FFQ) data (country specific validated FFQs were used to document baseline dietary intake). Participants were followed prospectively at least every three years. MAIN OUTCOME MEASURES: The main outcome was development of IBD, including Crohn's disease or ulcerative colitis. Associations between ultra-processed food intake and risk of IBD were assessed using Cox proportional hazard multivariable models. Results are presented as hazard ratios with 95% confidence intervals. RESULTS: Participants were enrolled in the study between 2003 and 2016. During the median follow-up of 9.7 years (interquartile range 8.9-11.2 years), 467 participants developed incident IBD (90 with Crohn's disease and 377 with ulcerative colitis). After adjustment for potential confounding factors, higher intake of ultra-processed food was associated with a higher risk of incident IBD (hazard ratio 1.82, 95% confidence interval 1.22 to 2.72 for ≥5 servings/day and 1.67, 1.18 to 2.37 for 1-4 servings/day compared with <1 serving/day, P=0.006 for trend). Different subgroups of ultra-processed food, including soft drinks, refined sweetened foods, salty snacks, and processed meat, each were associated with higher hazard ratios for IBD. Results were consistent for Crohn's disease and ulcerative colitis with low heterogeneity. Intakes of white meat, red meat, dairy, starch, and fruit, vegetables, and legumes were not associated with incident IBD. CONCLUSIONS: Higher intake of ultra-processed food was positively associated with risk of IBD. Further studies are needed to identify the contributory factors within ultra-processed foods. STUDY REGISTRATION: ClinicalTrials.gov NCT03225586.