A two-sample Mendelian randomization study explores metabolic profiling of different glycemic traits.

We assessed the causal relation of four glycemic traits and type 2 diabetes liability with 167 metabolites using Mendelian randomization with various sensitivity analyses and a reverse Mendelian randomization analysis. We extracted instruments for fasting glucose, 2-h glucose, fasting insulin, and glycated hemoglobin from the Meta-Analyses of Glucose and Insulin-related traits Consortium (n = 200,622), and those for type 2 diabetes liability from a meta-analysis of multiple cohorts (148,726 cases, 965,732 controls) in Europeans. Outcome data were from summary statistics of 167 metabolites from the UK Biobank (n = 115,078). Fasting glucose and 2-h glucose were not associated with any metabolite. Higher glycated hemoglobin was associated with higher free cholesterol in small low-density lipoprotein. Type 2 diabetes liability and fasting insulin were inversely associated with apolipoprotein A1, total cholines, lipoprotein subfractions in high-density-lipoprotein and intermediate-density lipoproteins, and positively associated with aromatic amino acids. These findings indicate hyperglycemia-independent patterns and highlight the role of insulin in type 2 diabetes development. Further studies should evaluate these glycemic traits in type 2 diabetes diagnosis and clinical management.

Association of iron homeostasis biomarkers in type 2 diabetes and glycaemic traits: a bidirectional two-sample Mendelian randomization study.

BACKGROUND: Mendelian randomization (MR) studies show iron positively associated with type 2 diabetes (T2D) but included potentially biasing hereditary haemochromatosis variants and did not assess reverse causality. METHODS: We assessed the relation of iron homeostasis with T2D and glycaemic traits bidirectionally, using genome-wide association studies (GWAS) of iron homeostasis biomarkers [ferritin, serum iron, total iron-binding capacity (TIBC), transferrin saturation (TSAT) (n ≤ 246 139)], T2D (DIAMANTE n = 933 970 and FinnGen n = 300 483), and glycaemic traits [fasting glucose (FG), 2-h glucose, glycated haemoglobin (HbA1c) and fasting insulin (FI) (n ≤ 209 605)]. Inverse variance weighting (IVW) was the main analysis, supplemented with sensitivity analyses and assessment of mediation by hepcidin. RESULTS: Iron homeostasis biomarkers were largely unrelated to T2D, although serum iron was potentially associated with higher T2D [odds ratio: 1.07 per standard deviation; 95% confidence interval (CI): 0.99 to 1.16; P-value: 0.078) in DIAMANTE only. Higher ferritin, serum iron, TSAT and lower TIBC likely decreased HbA1c, but were not associated with other glycaemic traits. Liability to T2D likely increased TIBC (0.03 per log odds; 95% CI: 0.01 to 0.05; P-value: 0.005), FI likely increased ferritin (0.29 per log pmol/L; 95% CI: 0.12 to 0.47; P-value: 8.72 x 10-4). FG likely increased serum iron (0.06 per mmol/L; 95% CI: 0.001 to 0.12; P-value: 0.046). Hepcidin did not mediate these associations. CONCLUSION: It is unlikely that ferritin, TSAT and TIBC cause T2D although an association for serum iron could not be excluded. Glycaemic traits and liability to T2D may affect iron homeostasis, but mediation by hepcidin is unlikely. Corresponding mechanistic studies are warranted.

Nut and seed consumption is inversely associated with metabolic syndrome in females but not males: findings from the 2005-2018 NHANES data.

PURPOSE: To assess the association between nut and seed consumption, both combined and separately, and metabolic syndrome and its components, including fasting glucose, triglycerides, high-density lipoprotein (HDL) cholesterol, central obesity, and blood pressure. METHODS: This cross-sectional analysis used data from 22,687 adults (aged ≥ 18 years) involved in seven cycles (2005-2018) of the National Health and Nutrition Examination Survey (NHANES). Habitual nut and seed intakes were estimated by the Multiple Source Method using data from two 24-h dietary recalls. Metabolic syndrome was ascertained using biochemical data and self-reported medication use. Sex-specific effect estimates were obtained using logistic and linear regressions adjusting for lifestyle and socioeconomic confounders. RESULTS: Compared to non-consumers, female, but not male, habitual consumers of either nuts or seeds had lower odds of having metabolic syndrome (OR: 0.83, 95% CI 0.71, 0.97). Both nut intake alone and seed intake alone were inversely associated with high fasting glucose and low HDL-cholesterol in females compared to non-consumers. When restricted to habitual consumers only, the combined intake of nuts and seeds at 6 g/day was associated with the lowest triglycerides and highest HDL-cholesterol in females. Combined consumption of nuts and seeds up to one ounce-equivalent (15 g) per day, but not in higher intake levels, was inversely associated with metabolic syndrome, high fasting glucose, central obesity, and low HDL-cholesterol in females. CONCLUSIONS: Nut and seed consumption, both separately or combined, below 15 g/day was inversely associated with metabolic syndrome and its component conditions in females but not males.

Does ACE2 mediate the detrimental effect of exposures related to COVID-19 risk: A Mendelian randomization investigation.

OBJECTIVES: Adiposity, smoking, and lower socioeconomic position (SEP) increase COVID-19 risk while the association of vitamin D, blood pressure, and glycemic traits in COVID-19 risk were less clear. Whether angiotensin-converting enzyme 2 (ACE2), the key receptor for SARS-CoV-2, mediates these associations has not been investigated. We conducted a Mendelian randomization study to assess the role of these exposures in COVID-19 and mediation by ACE2. METHODS: We extracted genetic variants strongly related to various exposures (vitamin D, blood pressure, glycemic traits, smoking, adiposity, and educational attainment [SEP proxy]), and ACE2 cis-variants from genome-wide association studies (GWAS, n ranged from 28 204 to 3 037 499) and applied them to GWAS summary statistics of ACE2 (n = 28 204) and COVID-19 (severe, hospitalized, and susceptibility, n ≤ 2 942 817). We used inverse variance weighted as the main analyses, with MR-Egger and weighted median as sensitivity analyses. Mediation analyses were performed based on product of coefficient method. RESULTS: Higher adiposity, lifetime smoking index, and lower educational attainment were consistently associated with higher risk of COVID-19 phenotypes while there was no strong evidence for an association of other exposures in COVID-19 risk. ACE2 partially mediates the detrimental effects of body mass index (ranged from 4.3% to 8.2%), waist-to-hip ratio (ranged from 11.2% to 16.8%), and lower educational attainment (ranged from 4.0% to 7.5%) in COVID-19 phenotypes while ACE2 did not mediate the detrimental effect of smoking. CONCLUSIONS: We provided genetic evidence that reducing ACE2 could partly lower COVID-19 risk amongst people who were overweight/obese or of lower SEP.

Evaluating the role of non-alcoholic fatty liver disease in cardiovascular diseases and type 2 diabetes: a Mendelian randomization study in Europeans and East Asians.

BACKGROUND: Whether non-alcoholic fatty liver disease (NAFLD) causes cardiovascular disease (CVD) and type 2 diabetes (T2D) is unclear and possible differences between ethnicities have not been thoroughly explored. We used Mendelian randomization (MR) to assess the role of NAFLD in CVD and T2D risk in Europeans and East Asians. METHODS: We conducted a MR study using genetic predictors of alanine aminotransferase (ALT), liability to NAFLD, aspartate transaminase (AST), liver magnetic resonance imaging corrected T1 and proton density fat fraction and combined them with genome-wide association studies (GWAS) summary statistics of CVD, T2D and glycaemic traits (sample size ranging from 14 400 to 977 320). Inverse-variance weighted analysis was used to assess the effect of NAFLD in these outcomes, with sensitivity analyses and replication in FinnGen. We conducted analyses in East Asians using ethnicity-specific genetic predictors of ALT and AST, and the respective outcome GWAS summary statistics. RESULTS: In Europeans, higher ALT was associated with higher T2D risk (odds ratio: 1.77 per standard deviation, 95% CI 1.5 to 2.08), with similar results for other exposures, across sensitivity analyses and in FinnGen. Although NAFLD proxies were related to higher coronary artery disease (CAD) and stroke risk, sensitivity analyses suggested possible bias by horizontal pleiotropy. In East Asians, higher ALT was possibly associated with higher T2D risk, and ALT and AST were inversely associated with CAD. CONCLUSIONS: NAFLD likely increases the risk of T2D in Europeans and East Asians. Potential differential effects on CAD between Europeans and East Asians require further investigation.

The longitudinal association between coffee and tea consumption and the risk of metabolic syndrome and its component conditions in an older adult population.

The present study aimed to assess the longitudinal associations of coffee and tea consumption with metabolic syndrome and its component conditions in a group of Australian older adults who participated in the Blue Mountains Eye Study (n 2554, mean age: 64 years, 43 % female). Participants' coffee and tea intake were measured using a validated food frequency questionnaire. Hazard ratios (HRs) over a 10-year period were estimated using Cox hazard regression models adjusting for lifestyle factors. Results showed that coffee consumption was not associated with the incidence of metabolic syndrome, high fasting glucose, high triglycerides, central obesity, high blood pressure and low HDL-cholesterol (HDL-C). Tea consumption was not associated with incidence of metabolic syndrome and the component conditions except for the risk of having low HDL-C, in which a nominally inverse association was observed (multivariate-adjusted HR at 2-3 cups/d: 0⋅48, 95 % CI 0⋅26, 0⋅87, P = 0⋅016; 4 cups/d or more: 0⋅50, 95 % CI 0⋅27, 0⋅93, P = 0⋅029). After stratifying for fruit consumption (P interaction between tea and fruit = 0⋅007), consuming four cups of tea per day was nominally associated with lower incidence of metabolic syndrome among those with high fruit consumption (multivariable-adjusted HR: 0⋅44, 95 % CI 0⋅20, 0⋅93, P = 0⋅033). Our results did not support a significant association between tea and coffee consumption and metabolic syndrome. Tea consumption may be associated with a lower risk of having low HDL-C, while high tea and fruit consumption together may be associated with a lower risk of developing metabolic syndrome.

Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies.

BACKGROUND: To summarize modifiable factors for coronavirus disease 2019 (COVID-19) suggested by Mendelian randomization studies. METHODS: In this systematic review, we searched PubMed, EMBASE and MEDLINE, from inception to 15 November 2021, for Mendelian randomization studies in English. We selected studies that assessed associations of genetically predicted exposures with COVID-19-related outcomes (severity, hospitalization and susceptibility). Risk of bias of the included studies was evaluated based on the consideration of the three main assumptions for instrumental variable analyses. RESULTS: We identified 700 studies through systematic search, of which 50 Mendelian randomization studies were included. Included studies have explored a wide range of socio-demographic factors, lifestyle attributes, anthropometrics and biomarkers, predisposition to diseases and druggable targets in COVID-19 risk. Mendelian randomization studies suggested that increases in smoking, obesity and inflammatory factors were associated with higher risk of COVID-19. Predisposition to ischaemic stroke, combined bipolar disorder and schizophrenia, attention-deficit and hyperactivity disorder, chronic kidney disease and idiopathic pulmonary fibrosis was potentially associated with higher COVID-19 risk. Druggable targets, such as higher protein expression of histo-blood group ABO system transferase (ABO), interleukin (IL)-6 and lower protein expression of 2'-5' oligoadenylate synthetase 1 (OAS1) were associated with higher risk of COVID-19. There was no strong genetic evidence supporting the role of vitamin D, glycaemic traits and predisposition to cardiometabolic diseases in COVID-19 risk. CONCLUSION: This review summarizes modifiable factors for intervention (e.g. smoking, obesity and inflammatory factors) and proteomic signatures (e.g. OAS1 and IL-6) that could help identify drugs for treating COVID-19.

Perspective: Is it Time to Expand Research on "Nuts" to Include "Seeds"? Justifications and Key Considerations.

The health benefits of nuts reported throughout the literature are extensive and well established for reducing the risk of, and managing several chronic conditions such as cardiovascular disease, type 2 diabetes, nonalcoholic fatty liver disease, and cognition. Despite their comparable nutrient profile to nuts, seeds are often not assessed in clinical and epidemiological studies. Interestingly, dietary guidelines and recommendations often refer to "nuts and seeds" collectively, even though they are not consistently examined together in nutrition research when determining associated health benefits. The purpose of this review is to call for future nutrition research to consider combining nuts and seeds. This review provides justification for this proposal by summarizing current definitions for nuts and seeds and highlighting the similarities or dissimilarities in their nutrient compositions. Following this, we summarize current evidence on the health benefits of nuts and seeds, research gaps that should be addressed, and considerations for future research using both epidemiological and interventional study designs.

Flash Glucose Monitoring Can Accurately Reflect Postprandial Glucose Changes in Healthy Adults in Nutrition Studies.

OBJECTIVE: This study investigated the accuracy of a flash glucose monitoring system (FGMS) in a postprandial setting. METHODS: Ten fasted adults without diabetes wore the FGMS sensors then consumed a standard breakfast. Their glucose levels were subsequently recorded for 2 hours, both by the FGMS and by measuring capillary glucose levels using the glucose oxidase method. The accuracy of the FGMS data was assessed using the accuracy limits stated in ISO 15197:2013. RESULTS: FGMS measurements were mostly lower than glucose oxidase measurements (mean absolute relative difference ± SD: 25.4 ± 17.0%, p < 0.001). However, the maximum difference from baseline captured by the two methods was not significantly different (mean ± SD, glucose oxidase: 58.5 ± 18.9 mg/dl; FGMS, 54.4 ± 28.9 mg/dl, p = 0.366). CONCLUSIONS: FGMS could track the incremental glycaemic excursions after meals in adults without diabetes, yet further studies with greater sample sizes are needed to confirm this finding.

The Association Between Coffee Consumption and Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis.

Previous meta-analyses that found an inverse association between coffee consumption and metabolic syndrome pooled data from cross-sectional and longitudinal studies, which could lead to potentially misleading conclusions. Hence, this work aimed to reassess this association by analyzing data from the 2 types of studies separately and including recent studies. Online databases including PubMed, Scopus, Embase, The Cumulative Index to Nursing and Allied Health Literature (CINAHL) Plus, and Science Direct were searched for relevant studies published up to July 2020. Both cross-sectional and longitudinal studies were included if published after 1999, reported both effect estimates and CIs, and presented results adjusted for confounding variables. Data of the highest coffee consumption level in each study, as well as those of medium consumption levels in studies with ≥3 consumption categories, were pooled using random-effect models, with sex-stratified and sex-adjusted results being analyzed separately. Results were obtained based on data from 13 cross-sectional studies involving 280,803 participants and 2 longitudinal studies involving 17,014 participants. The overall sex-adjusted association of the highest consumption level was not significant (n = 9 studies; OR: 0.88; 95% CI: 0.70, 1.10; I2: 91.5%) and the 2 longitudinal studies both yielded no association. Subgroup analysis revealed inverse associations in both males and females, as well as in Caucasians with medium coffee consumption (n = 4 studies, OR: 0.88; 95% CI: 0.84, 0.93; I2: 0%). Although residual confounding could affect the results of this meta-analysis, our findings suggested with a low certainty that coffee consumption may not be associated with metabolic syndrome, a finding that is different from those of previous meta-analyses and could be due to variation in characteristics of study participants. More longitudinal studies are also needed to further assess the temporal association between coffee consumption and metabolic syndrome. This meta-analysis was registered at https://www.crd.york.ac.uk/prospero as CRD42018110650.

Pharmacological interventions for smoking cessation among people with schizophrenia spectrum disorders: a systematic review, meta-analysis, and network meta-analysis.

BACKGROUND: People with schizophrenia have higher rates of smoking than the general population, and lower quit rates. Several randomised controlled trials have investigated the effectiveness of pharmacological interventions for smoking cessation over the past 20 years. We did a systematic review and pairwise and network meta-analysis of smoking abstinence to guide decision making in offering pharmacological interventions for smoking cessation for people with schizophrenia spectrum disorders. METHODS: We systematically reviewed PubMed, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, and China National Knowledge Infrastructure from inception to Sept 30, 2019, for randomised controlled trials of varenicline, bupropion, and nicotine replacement therapy for smoking cessation for people with schizophrenia spectrum disorders or psychotic disorders who were smokers at the time of study recruitment. Data were extracted from published studies on smoking abstinence outcomes and psychotic symptoms. We did pairwise and network meta-analyses for the primary outcome of smoking abstinence. Sensitivity analyses were done on study inclusion criteria, duration, quality, and location. This study is registered with the international prospective register of systematic reviews PROSPERO, CRD42018102343. FINDINGS: A total of 15 111 records were identified by the database searches, and 163 full-text articles were assessed for eligibility. 145 articles were then excluded for several reasons including insufficient data, or abstracts published in later studies, and 18 studies were included in the meta-analysis. In the pairwise meta-analyses, four studies with 394 participants assessed varenicline (RR 3·75, 95% CI 1·96-7·19, p<0·0001; I2=0%), four studies with bupropion and 292 participants (RR 3·40, 95% CI 1·58-7·34, p=0·0002; I2=0%), and three studies with 561 participants assessed nicotine replacement therapy (RR 4·27, 95% CI 1·71-10·65, p=0·0002; I2=0%). All three treatments were deemed superior to placebo. In the network meta-analysis, varenicline was superior to bupropion (RR 2·02, 95% CI 1·04-3·93; p=0·038) but no significant difference was found between varenicline and nicotine replacement therapy, or bupropion and nicotine replacement therapy. No agents were associated with changes in psychiatric symptoms, but varenicline was associated with higher rates of nausea than was placebo. INTERPRETATION: We found evidence to support use of pharmacological agents for smoking cessation for people with psychosis. Varenicline might be superior to bupropion; however, additional direct testing and combination trials of pharmacological agents for smoking cessation are required to inform clinical decision making for people with psychosis. FUNDING: None.

The effect of a low glycaemic index diet on reducing day-long glycaemia in healthy young adults: A randomized crossover trial.

AIM: To compare the effect of a low glycaemic index (LGI) diet on reducing day-long glycaemia with a macronutrient-matched high glycaemic index (HGI) diet, using customized meal delivery to ensure compliance. MATERIALS AND METHODS: We conducted a single-blinded, randomized crossover trial in 14 healthy adults (57% female) with a mean ± SD age of 21.6 ± 1.7 years. A flash glucose monitoring sensor was installed on the subjects on day 1 to capture the interstitial glucose level every 15 minutes for 14 days. Subjects were randomized to receive an LGI (dietary GI = 40) or HGI (dietary GI = 60) diet (three meals and two snacks) from day 2 for 5 consecutive days, followed by a 2-day washout, then switched to the alternative diet for another 5 days. A paired t-test was used to test the differences in the incremental area under the curve (iAUC) of glucose, postprandial glucose (PPG) concentration and maximum postprandial glucose rise (MPGR) between the LGI and HGI periods. RESULTS: Subjects had lower iAUC for average day-long glycaemia during the LGI intervention period compared with the HGI period (mean ± SD, 865 ± 297 vs. 1024 ± 267 mmol x min/L; P = .047). PPG for breakfast and snack 2, and MPGR for breakfast, snack 2 and dinner, were lower in the LGI period. CONCLUSIONS: In young healthy adults, following an LGI diet resulted in lower average day-long glycaemia compared with a macronutrient-matched HGI diet. Our results support the use of LGI diets to reduce the risk of developing glucose intolerance.

Consuming decaffeinated coffee with milk and sugar added before a high-glycaemic index meal improves postprandial glycaemic and insulinaemic responses in healthy adults.

The present study aimed to compare the effects of drinking different types of coffee before a high-glycaemic index (GI) meal on postprandial glucose metabolism and to assess the effects of adding milk and sugar into coffee. In this randomised, crossover, acute feeding study, apparently healthy adults (n 21) consumed the test drink followed by a high-GI meal in each session. Different types of coffee (espresso, instant, boiled and decaffeinated, all with milk and sugar) and plain water were tested in separate sessions, while a subset of the participants (n 10) completed extra sessions using black coffees. Postprandial levels of glucose, insulin, active glucagon-like peptide 1 (GLP-1) and nitrotyrosine between different test drinks were compared using linear mixed models. Results showed that only preloading decaffeinated coffee with milk and sugar led to significantly lower glucose incremental AUC (iAUC; 14 % lower, P = 0·001) than water. Preloading black coffees led to greater postprandial glucose iAUC than preloading coffees with milk and sugar added (12-35 % smaller, P < 0·05 for all coffee types). Active GLP-1 and nitrotyrosine levels were not significantly different between test drinks. To conclude, preloading decaffeinated coffee with milk and sugar led to a blunted postprandial glycaemic response after a subsequent high-GI meal, while adding milk and sugar into coffee could mitigate the impairment effect of black coffee towards postprandial glucose responses. These findings may partly explain the positive effects of coffee consumption on glucose metabolism.

Is there a soft drink vs. alcohol seesaw? A cross-sectional analysis of dietary data in the Australian Health Survey 2011-12.

PURPOSE: Previous studies in older Australians have reported higher alcohol intake in those with low added sugar intake, yet the relationship between energy in liquid form [alcoholic beverages vs. sugar-sweetened beverages (SSB)] and measures of obesity has not been evaluated. We aimed to assess the association between the energy derived from SSB and alcoholic beverages, and to model the association between the substitution of SSB with alcoholic beverages and waist circumference. METHODS: In this cross-sectional analysis, dietary data from the Australian Health Survey 2011-12 were analyzed. Participants with implausible dietary intake were excluded by applying the Goldberg cut-off. Usual SSB intake of adults ≥ 19 years old was estimated using the Multiple Source Method and participants were classified into zero-, low- or high-SSB consumers according to their usual SSB intake. Energy from alcoholic beverages in the three SSB consumption groups was compared using multivariable general linear models. A substitution model was used to assess the association between the replacement of SSB with alcoholic beverages and waist circumference. RESULTS: Zero-SSB consumers made up 33% of the included participants. In all age groups, zero-SSB consumers had significantly higher energy intakes from alcoholic beverages than low- and high-SSB consumers. Low- and high-SSB consumers had similar consumption of alcoholic beverages. Substituting SSB intake with alcoholic beverage intake was not associated with significant differences in waist circumference in most age groups. CONCLUSIONS: Australian adults who avoid SSB are common but consume substantially more energy in the form of alcoholic beverages. An increase in alcoholic beverage intake could be an 'unintended consequence' of strictly discouraging SSB consumption.

Overall Quality Performance of Long-Term Care Homes in Ontario.

In this paper, individually reported long-term care (LTC) quality indicators have been supplemented with the composite Qindex measure and applied to 614 homes in Ontario, Canada. This study (1) describes the overall quality performance of LTC homes across five years (2012-2017) and (2) determines if organizational factors impact quality performance. The results demonstrate significant, continuous sector-wide improvement in overall quality performance (as assessed by the Qindex) over time and significant differences in quality based on home size, operator size and ownership. This paper positions the Qindex, a global metric of quality, as a valuable tool for quality measurement and management in the LTC sector.

Intake of free sugar and micronutrient dilution in Australian children and adolescents.

PURPOSES: This cross-sectional analysis aimed to investigate the association between free sugar intake and micronutrient intake in Australian children and adolescents and to assess the effectiveness of the cut-off of < 10% energy intake from free sugar (%EFS) as recommended by the World Health Organization (WHO). METHODS: Dietary data of children and adolescents from the Australian Health Survey 2011-12 were analyzed (n = 1466). Free sugar intake was estimated using a published methodology with modification to suit the definition of free sugar. Six cut-offs for %EFS were created in 5% increments. Participants' mean intakes of 18 micronutrients, as well as their intakes of core (healthy) and discretionary (unhealthy) foods, at different cut-offs were compared using ANCOVA, with age, sex, and socioeconomic status measures as covariates. The odds ratios of not meeting the nutrient reference values (NRVs) for Australia and New Zealand of each micronutrient were calculated using logistic regression. RESULTS: Micronutrient intake decreased with increasing %EFS and the peak intakes of most micronutrients appeared between 0-15%EFS. The absolute intakes of most micronutrients were not significantly different between participants who consumed < 10%EFS and ≥ 10%EFS. Those with > 20%EFS were less likely to meet the NRVs of more than half of the micronutrients. Additionally, as %EFS increased, intakes of core food groups decreased, while intakes of discretionary food groups increased. CONCLUSIONS: The dilution effect in micronutrient intake with increasing free sugar intake was evident in Australian children and adolescents. However, meeting the WHO cut-off was associated with limited improvement in micronutrient adequacy.

The direct and indirect associations of usual free sugar intake on BMI z-scores of Australian children and adolescents.

This cross-sectional analysis aimed to assess the association between free sugar consumption and the BMI z-score of Australian children and adolescents. Data from the 2007 Australian National Children's Nutrition and Physical Activity Survey were analyzed. Structural equation modeling was used to assess the direct association between usual free sugar intake and age-and-sex-specific BMI z-score, and the indirect association mediated via energy overconsumption. Weak and statistically non-significant associations were found for the direct (BMI z-score ß = -0.02 per 10% change in energy intake from free sugar, p = 0.705) and indirect pathways (BMI z-score ß = -0.04 per 10% change in energy intake from free sugar, p = 0.705). We concluded that free sugar intake was not associated with BMI z-score in this cohort. Instead of focusing on a single energy source in the diet, improving the quality of the whole diet may be a better approach in tackling childhood obesity.

Discrepancy in socioeconomic status does not fully explain the variation in diet quality between consumers of different coffee types.

PURPOSE: Habitual consumers of different coffee types may vary in socioeconomic status (SES), which is an important determinant of diet quality. Nonetheless, research on diet quality among coffee consumers was scarce. We aimed to compare the diet quality of coffee consumers with different preferences towards coffee type and additive usage. METHODS: In this cross-sectional analysis, intake data of food, coffee, and additive usage from the adult respondents of the 2011-2012 Australian Health Survey were used. Participants were grouped according to the type of coffee (espresso and ground coffee, E&G; coffee made from coffee mixes and instant coffee, M&I; non-consumers, NC) and additives (milk, sugar, and intense sweetener) consumed. Adjusted food group intake was compared between consumption groups using general linear model. RESULTS: E&G drinkers had better SES than M&I and NC. After adjusting for covariates, the mean dairy intake of E&G drinkers was 22.2% higher than M&I drinkers (p < 0.001) and 33.1% higher than NC (p < 0.001). Mean discretionary food intake of E&G drinkers was 12.1% lower than M&I (p = 0.003) and 12.3% lower than NC (p = 0.001). In terms of additive usage, non-users of coffee additive had the lowest dairy food intake and the highest discretionary food intake. CONCLUSIONS: Coffee consumers' different preferences towards coffee type and additive usages reflected significant variations in their diet quality, even after adjustment of SES. Therefore, future epidemiological studies should consider separating coffee drinkers according to their habitual consumption of different types of coffee.

Implementation of Behavioural Supports Ontario (BSO): An Evaluation of Three Models of Care.

Behavioural Supports Ontario (BSO) was launched to enhance the healthcare services for Ontario's seniors, their caregivers and families living and coping with responsive behaviours associated with dementia and other neurological conditions. The implementation of the program varied across and within the local health integration networks (LHINs). By 2015, there were three BSO models operating within the long-term care (LTC) home sector: in-home BSO teams, a mobile team that serves multiple LTC homes within a sub-area of a LHIN and a LHIN-wide mobile team that provides services to all homes. A survey was undertaken to identify the differences among the BSO models of care in relation to care planning, collaboration and team building and home-level resident outcomes. We found that three years after implementation, LTC staff reported that the in-home BSO model out-performs the mobile team across all key measures. There is a role for mobile teams to provide expertise and sharing of best practices across the regions, but future policy and funding should focus on supporting the development of in-home BSO teams.

Resident Supervision and Patient Safety: Do Different Levels of Resident Supervision Affect the Rate of Morbidity and Mortality Cases?

BACKGROUND: In our academic emergency department, our senior residents lead their own patient care team, known as the red team (RT). Attending physicians are responsible for managing their own team (AT) and precepting the senior resident's cases. OBJECTIVE: We hypothesized that the RT would have the same number of morbidity and mortality (M&M) cases and similar numbers of adverse outcomes as the AT. We also hypothesized that there would be no increase in M&M cases during the first quarter of every academic year. METHODS: We obtained data from M&M cases from 2009-2013, including month and year of patient visit, standard of care code (SoCC), and whether the patient was seen by the RT or an AT. Data were analyzed using a χ(2) test comparing expected outcomes with observed outcomes. RESULTS: There was a total of 117 M&M cases during the study period with a SoCC ≥ 3; 76 cases were AT and 41 cases were RT. There was no statistically significant difference between expected and observed number of cases. Mean RT and AT SoCCs were 4.03 and 4.23, respectively. There was no statistically significant difference between the two groups for SoCC. Mean SoCC was not significantly different for the first quarter of the year. CONCLUSIONS: We found that our patient care model did not lead to an increased number of M&M cases and RT cases were not associated with worse outcomes overall. Additionally, there was no increased rate of M&M cases in the beginning of the academic year.