Background Wide variability in response to lifestyle interventions has been recognized for many years, and researchers have begun to disentangle sources of error from inherent differences in individual responsiveness. The objective of this secondary analysis of an intensive lifestyle intervention (diet and exercise) for metabolic syndrome (MetS) was to identify potentially important differences among study completers grouped by treatment response as measured by change in a continuous metabolic syndrome (Gurka/MetS) score. Methods All study completers from a 12-month primary care study were categorized into one of five groups according to change in the Gurka/MetS score. A change of 0.4 in z-score defined clinically relevant change in line with results of previous studies. Repeated measures analysis of covariance was used to examine the Gurka/MetS score over 12 months, looking for differences in response over time by the five groups. Results Of 176 participants, 50% (n = 88) had stable scores, 10% (n = 18) had relevant change scores in the first 3 months only and reverted toward baseline, 20% (n = 35) achieved meaningful change over the whole study, 11% (n = 20) had a delayed response at 3–12 months, and 9% (n = 15) demonstrated worsening scores. Significant response group*time differences were noted (p < 0.001). Improvement in diet quality and fitness scores were similar across all groups. Available other variables did not account for the differences. Conclusion Work is needed to identify key factors that account for differences in responses to lifestyle interventions that can be used to guide treatment decisions for intensive lifestyle interventions for this common condition. Trial Registration ClinicalTrials.gov Identifier: NCT01616563; first registered June 12, 2012.

Context: Metabolic syndrome (MetS) refers to a combination of factors (dyslipidemia, elevated glucose and triglycerides, high blood pressure, and high abdominal fat distribution) that increase the risk for cardiovascular disease (CVD) and diabetes (DM), among other diseases. In Canada, 20% of adults have MetS. MetS is of great importance as it precedes DM and CVD by several years. Progression of MetS to DM and CVD can be significantly reduced by dietary modification and exercise. Objective: The primary purpose of this trial was to test the effectiveness of Metabolic Rehab to increase physical activity, improve diets, reduce obesity and reverse MetS among adult patients when implemented in typical primary care settings within Alberta. Design: A cluster randomized control trial (cRCT) of 16 PCNs within Alberta (pre/post design). Participants: N= 750 participants were screened into the RCT; N=674 participated in the RCT in either intervention (n=354) or control n=(320). Intervention: Metabolic Rehab is an evidence-based lifestyle intervention protocol (the CHANGE Protocol) delivered in primary care for patients with MetS. This protocol is a personalized approach to nutrition and exercise modification supported by an interprofessional team. The protocol's principles are: 1) individualized, graded nutrition and exercise intervention; 2) supervision and implementation of the program in a collaborative fashion between health professionals. Outcome Measures: The primary outcome is reversal of metabolic syndrome (binary – yes/no) and the secondary outcome is Cardiovascular Risk (as measured by the PROCAM). Results: Patients had a 23% chance of reversing MetS, depending on the severity of their initial MetS based on Multivariate Logistic Regression. Physical activity levels increased in both total amount and intensity in the intervention group; the same pattern was not observed in the control group. Patients reported that they enjoyed the program and liked the depth of information that was provided in their sessions; the individualized nature of the program was helpful. Patients and health professionals also reported that the intervention led to increased health, along with additional unexpected positive benefits. Conclusions: Metabolic Rehab is an effective lifestyle intervention that reverses MetS; greater integration of Metabolic Rehab into primary care can proactively treat the symptoms that later manifest in CVD, DM, and other chronic health conditions.

Background Personalized diet counselling, as part of lifestyle change programs for cardiometabolic risk conditions (combinations of prediabetes or type 2 diabetes, hypertension, dyslipidemia and high waist circumference) has been shown to reduce progression to type 2 diabetes overall. To identify key process of care measures that could be linked to changes in diet, we undertook a secondary analysis of a Canadian pre-post study of lifestyle treatment of metabolic syndrome (MetS). Diet counselling process measures were documented and association with diet quality changes after 3 months were assessed. Results of the primary study showed 19% reversal of MetS after 1 year. Methods Registered dietitians (RDs) reported on contact time, specific food behaviour goals (FBG), behaviour change techniques (BCT; adapted from the Michie CALO-RE taxonomy) and teaching resources at each contact. Diet quality was measured by 2005 Canadian Healthy Eating Index (HEI-C) and assessed for possible associations with individual BCT and FBG. Results Food behaviour goals associated with improved HEI-C at 3 months were: poultry more than red meat, increased plant protein, increased fish, increased olive oil, increased fruits and vegetables, eating breakfast, increased milk and alternatives, healthier fats, healthier snacks and increased nuts, with an adverse association noted for more use (> 2 times/ 3 months) of the balanced meal concept (F test; p < 0.001). Of 16 BCT, goal setting accounted for 15% of all BCT recorded, yet more goal setting (> 3 times/3 months) was associated with poorer HEI-C at 3 months (F test; p = 0.007). Only self-monitoring, feedback on performance and focus on past success were associated with improved HEI-C. Conclusions These results identify key aspects of process that impact diet quality. Documentation of both FBG and BCT is highly relevant in diet counselling and a summary diet quality score is a promising target for assessing short-term counselling success.

Systemic hypertension has been recognized as a modifiable traditional cardiovascular risk factor and influenced by many factors such as eating habits, physical activity, diabetes, and obesity. The objective of this cross-sectional study was to identify factors that predict changes in blood pressure induced by a one-year lifestyle intervention in primary care settings involving a collaboration between family physicians, dietitians, and exercise specialists. Patients with metabolic syndrome diagnosis were recruited by family physicians participating in primary care lifestyle intervention among several family care clinics across Canada. Participants for whom all cardiometabolic data at the beginning (T0) and the end (T12) of the one-year intervention were available were included in the present analysis (n = 101). Patients visited the dietitian and the exercise specialist weekly for the first three months and monthly for the last nine months. Diet quality, exercise capacity, anthropometric indicators, and cardiometabolic variables were evaluated at T0 and at T12. The intervention induced a statistically significant decrease in waist circumference (WC), systolic (SBP) and diastolic (DBP) blood pressure, and plasma triglycerides, and an increase in cardiorespiratory fitness (estimated VO2max). Body weight (p < 0.001), body mass index (BMI) (p < 0.001), and fasting blood glucose (p = 0.006) reduction, and VO2max increase (p = 0.048) were all related to changes in SBP. WC was the only variable for which changes were significantly correlated with those in both SBP (p < 0.0001) and DBP (p = 0.0004). Variations in DBP were not associated with changes in other cardiometabolic variables to a statistically significant extent. Twelve participants were identified as adverse responders (AR) in both SBP and DBP and displayed less favorable changes in WC. The beneficial effects of the primary care lifestyle intervention on blood pressure were significantly associated with cardiometabolic variables, especially WC. These findings suggest that a structured lifestyle intervention in primary care can help improve cardiometabolic risk factors in patients with metabolic syndrome and that WC should be systematically measured to better stratify the patient’s hypertension risk.

Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate that the tests/measurements perform equally well and measure the same underlying constructs across groups and over time. Using structural equation modeling, the measurement properties (stability and responsiveness) of intervention measures used in a study of metabolic syndrome (MetS) treatment in primary care offices, were assessed. The primary study (N = 293; mean age = 59 years) had achieved 19% reversal of MetS overall; yet neither diet quality nor aerobic capacity were correlated with declines in cardiovascular disease risk. Factor analytic methods were used to develop measurement models and factorial invariance were tested across three time points (baseline, 3-month, 12-month), sex (male/female), and diabetes status for the Canadian Healthy Eating Index (2005 HEI-C) and several fitness measures combined (percentile VO2 max from submaximal exercise, treadmill speed, curl-ups, push-ups). The model fit for the original HEI-C was poor and could account for the lack of associations in the primary study. A reduced HEI-C and a 4-item fitness model demonstrated excellent model fit and measurement equivalence across time, sex, and diabetes status. Increased use of factor analytic methods increases measurement precision, controls error, and improves ability to link interventions to expected clinical outcomes.

The subjective global assessment (SGA) is a nutrition assessment tool that refers to an overall evaluation of a patient's history and physical examination and uses structured clinical parameters to diagnose malnutrition. The SGA is known to be a reliable and valid tool that predicts morbidity and mortality associated with malnutrition. The objective of SGA is to identify patients likely to benefit from nutrition intervention and therefore to identify persons in whom inadequate nutrition intake or absorption explain features of malnutrition, including body wasting. There are other conditions that cause weight loss, muscle wasting, and fat loss, including cachexia and sarcopenia. Acknowledging that these 2 last conditions differ in their mechanism of body wasting and consequently in the outcomes of nutrition intervention, the practitioner needs a tool to identify when malnutrition is the dominating factor to explain body wasting. The SGA form has been revised to clearly reflect the key concepts behind the diagnosis of malnutrition and help to distinguish this condition from other wasting conditions. This review presents the revised SGA form and guidance document. Using case studies, it illustrates the 3 wasting conditions, their overlap, and how the SGA identifies malnutrition as a dominating factor of body wasting and thus individuals who require nutrition intervention.

Abstract In studies of community-based health behavior interventions (diet and physical activity) one goal in analysis is to show expected relationships between measures of intervention and clinically relevant outcomes. Many programs fail to show such clear links for many reasons beyond lack of intervention effectiveness. These secondary analyses were undertaken to assess if the measurement properties (stability and responsiveness) of intervention measures could have contributed to study findings. A feasibility study of lifestyle treatment of metabolic syndrome (n=293; mean age = 59yrs) had achieved 19% reversal over one year, yet neither diet quality nor fitness were associated with cardiovascular disease risk. Confirmatory factor analysis was used to examine fit of measurement models and factorial invariance was tested across three time points (baseline, 3-month, 12-month), gender (male/female), and disease status (diabetes) for the Healthy Eating Index (HEI) (Canada 2005) and several fitness measures (VO2max, flexibility, curl-ups, push-ups). The model fit for HEI was poor and could account for the lack of association seen in the original study. More development of diet quality measures is needed. The model for fitness, however, demonstrated excellent fit and displayed measurement equivalence across time, gender, and disease state. A higher degree of confidence exists when measurement equivalence/invariance is demonstrated, allowing for reliable tests of differences in comparison groups. The use of a multiple measure of fitness, including cardiorespiratory fitness, flexibility, and strength, helps eliminate limitations of using measures from a single domain or self-reported data is promising and should be considered in future work.

Abstract Does change in one lifestyle factor (e.g., exercise/fitness) help explain change in another factor or process (i.e., dietary behavior or cardiovascular risk)? The current modeling was a secondary analysis of a primary care feasibility study of individualized lifestyle (diet and exercise) treatment of metabolic syndrome (n=293; mean age = 59yrs) that achieved 19% reversal over one year. Diet quality was assessed by the Healthy Eating Index (HEI) (2005 Canada); while fitness was assessed by several measures (VO2max, flexibility, curl-ups, push-ups). Three occasions (i.e., baseline, 3-, and 12-month) were examined using latent change score and latent growth curve models (in AMOS) to assess whether changes in one domain predicted changes in the remaining domains: (1) diet (measured by HEI or latent construct); (2) fitness (measured by VO2max percentiles or latent construct); and, (3) 10-year risk of cardiovascular disease (by Procam Risk score). Results showed significant improvement in all three domains separately during the intervention, with greater change between baseline and 3-month assessment and continued change between 3- and 12-months. Initial status variables on observed constructs were moderately positively correlated and change in dietary behavior was significantly related to change in fitness levels, but neither were significantly related to change in the 10-year risk of cardiovascular disease. In addition, the associations between change in diet and changes in fitness were inconsistent baseline to 3 months, and 3-12 months. These results offered new insight on relationships among interventions in a behavioural counselling program which can inform future programming.

Background & aimsThe Global Leadership Initiative on Malnutrition (GLIM) proposed a new framework for diagnosing malnutrition based on combinations of phenotypic and etiologic criteria. The aim of this study was to compare GLIM criteria to Subjective Global Assessment (SGA) judged to be the most validated standardized assessment of malnutrition.MethodsThis is a retrospective analysis of variables extracted from a prospective cohort study assessing malnutrition at admission, in 18 Canadian hospitals. Based on the available parameters, GLIM was compared to SGA using the following combinations of one phenotypic and one etiologic criteria: A. weight loss and low intake; B. weight loss and high C-reactive protein (CRP); C. low body mass index (BMI) and low intake; D. low BMI, high CRP. Data were not available for fat-free mass. Since all patients had acute or chronic active disease as per GLIM etiologic criterion, CRP was used as a more specific measure to define inflammation. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated. Data are expressed as mean and Clopper-Pearson exact 95% confidence interval (CI).ResultsFrom 1022 patients in the original dataset, 784 had all considered parameters with a prevalence of malnutrition (SGA B or C) of 45.15% (CI 41.60, 48.70), where severe malnutrition (SGA C) was 11.73% (CI 9.57, 14.20). Using the available GLIM parameters with the above combinations of two-criteria, the prevalence of malnutrition was 33.29% (CI 30.00, 36.71) and severe malnutrition was 19.77% (CI 17.00, 22.70). For all criteria combinations of GLIM together versus SGA, sensitivity was 61.30% (CI 56.0, 66.4), specificity was 89.77% (CI 86.5, 92.5) and PPV was 83.14% (CI 78.0, 87.5) while NPV was 73.80 (CI 69.8, 77.5). Sensitivity was improved when only SGA C for severe malnutrition was used as the criterion (82.61%; CI 73.3, 89.7) but PPV was greatly reduced (29.12%; CI 23.7, 35.0). Similarly, when using GLIM criteria for severe malnutrition only, sensitivity improved (76.09%; CI 66.1, 84.4). Any two criteria combinations of GLIM had much poorer sensitivity with the highest being weight loss + high CRP (46.33%) with a specificity of 93.02% (PPV: 84.54%; NPV: 67.80%), while the combination of low BMI + low intake had the highest specificity (98.84%) but with a sensitivity of 15.54% (PPV 91.67%; NPV: 58.70%).ConclusionsBased on the CMTF dataset and using SGA as the most validated tool for diagnosing malnutrition, the two criteria combinations used for GLIM in the present study had fair criterion validity for the diagnosis of malnutrition, regardless of severity status. The best combinations were weight loss and high CRP or weight loss and low intake, both having high specificity at diagnosing malnutrition but unacceptably low sensitivity, and thus were considered poor. There may be potential for the full framework to be used to diagnose malnutrition, but individual combinations of two criteria when used exclusively will miss malnourished patients, as defined by SGA.

Metabolic syndrome (MetS) comprises a cluster of risk factors that includes central obesity, dyslipidemia, impaired glucose homeostasis and hypertension. Individuals with MetS have elevated risk of type 2 diabetes and cardiovascular disease; thus placing significant burdens on social and healthcare systems. Lifestyle interventions (comprised of diet, exercise or a combination of both) are routinely recommended as the first line of treatment for MetS. Only a proportion of people respond, and it has been assumed that psychological and social aspects primarily account for these differences. However, the etiology of MetS is multifactorial and stems, in part, on a person's genetic make-up. Numerous single nucleotide polymorphisms (SNPs) are associated with the various components of MetS, and several of these SNPs have been shown to modify a person's response to lifestyle interventions. Consequently, genetic variants can influence the extent to which a person responds to changes in diet and/or exercise. The goal of this review is to highlight SNPs reported to influence the magnitude of change in body weight, dyslipidemia, glucose homeostasis and blood pressure during lifestyle interventions aimed at improving MetS components. Knowledge regarding these genetic variants and their ability to modulate a person's response will provide additional context for improving the effectiveness of personalized lifestyle interventions that aim to reduce the risks associated with MetS.

Objectives: Cancer has become a major indication for home parenteral nutrition (HPN). However, the use of HPN in adult cancer patients is highly variable between countries and may also differ within each country. The aim of the present study was to characterize regional variations in practice patterns for cancer patients on HPN using data from the Canadian HPN Registry. Methods: This retrospective analysis included all cancer patients (n = 164) enrolled in the registry from 2005 to 2016. Patient demographic and clinical characteristics were described. Differences in baseline characteristics were evaluated by province and duration of HPN therapy. Survival was estimated with the Kaplan-Meier method and compared among different tumor types and provinces using the log-rank test. Results: The most common tumors were gastrointestinal (54.2%) and gynecologic (31.8%). Most patients were from the provinces of Ontario (54.3%) and Alberta (41.5%). Patients who received HPN for >= 3 mo (64.6%) had a higher baseline Karnofsky Performance Status (80 versus 50) and albumin (35 versus 26 mmol/L) compared with those on HPN for <3 mo. There were no differences in survival based on tumor category. Patients in Ontario programs had a longer median survival (11.3 versus 7.1 mo) and higher proportion of secondary indications for HPN relative to patients in Alberta programs. Conclusions: Most cancer patients on HPN have gastrointestinal or gynecologic cancers. Those surviving for >= 3 mo have better baseline characteristics. Regional variability in the prevalence, selection, and survival of cancer patients receiving HPN suggests the need for consensus on the use of HPN in this population. (C) 2019 Elsevier Inc. All rights reserved.

Metabolic syndrome (MetS) comprises a cluster of risk factors that includes central obesity, hypertension, dyslipidemia, and impaired glucose homeostasis. Although lifestyle interventions reduce MetS risk, not everyone responds to the same extent. The primary objective of this study was to identify variables that could predict 1-year changes in MetS risk in individuals participating in the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) program. Participants were allocated into training (n = 157) and test (n = 29) datasets by availability of genetic data. A linear mixed-effect model revealed that age, medication, fasting glucose, triglycerides, high-density lipoprotein cholesterol, waist circumference, systolic blood pressure, and fibre intake were associated with continuous MetS (cMetS) score across all time points. Multiple linear regressions were then used to build 2 prediction models using 1-year cMetS score as the outcome variable. Model 1 included only baseline variables and was 38% accurate for predicting cMetS score. Model 2 included both baseline variables and the 3-month change in cMetS score and was 86% accurate. As a secondary objective, we also examined if we could build a model to predict a person's categorical response bin (i.e., positive responder, nonresponder, or adverse responder) at 1 year using the same variables. We found 72% concordance between predicted and observed outcomes. These various prediction models need to be further tested in independent cohorts but provide a potentially promising new tool to project patient outcomes during lifestyle interventions for MetS. Novelty Short-term changes in cMetS score improve prediction model performance compared with only baseline variables. Predictive models could potentially facilitate clinical decision-making for personalized treatment plans.

It is not known whether Teduglutide can allow patients with Short bowel syndrome, previously dependent on continuous or periodic intravenous (IV) magnesium, to attain oral autonomy with or without supplementation. Here, we report on two patients previously dependent on continuous or intermittently administered IV magnesium to achieve autonomy from IV, one with and one without oral supplementation that was previously ineffective in both patients.

A team-based 12-month lifestyle program for the treatment of metabolic syndrome (MetS) (involving physicians, registered dietitians (RDs), and kinesiologists) was previously shown to reverse MetS in 19% of patients (95% confidence interval, 14% to 24%). This work evaluates changes in nutrient intake and diet quality over 12 months (n = 205). Individualized diet counselling was provided by 14 RDs at 3 centres. Two 24-h recalls, the Canadian Healthy Eating Index (HEI-C), and the Mediterranean Diet Score (MDS) were completed at each time point. Total energy intake decreased by 145 ± 586 kcal (mean ± SD) over 3 months with an additional 76 ± 452 kcal decrease over 3-12 months. HEI-C improved from 58 ± 15 to 69 ± 12 at 3 months and was maintained at 12 months. Similarly, MDS (n = 144) improved from 4.8 ± 1.2 to 6.2 ± 1.9 at 3 months and was maintained at 12 months. Changes were specific to certain food groups, with increased intake of fruits, vegetables, and nuts and decreased intake of "other foods" and "commercial baked goods" being the most prominent changes. There was limited change in intake of olive oil, fish, and legumes. Exploratory analysis suggested that poorer diet quality at baseline was associated with greater dietary changes as assessed by HEI-C. Novelty Multiple dietary assessment tools provided rich information on food intake changes in an intervention for metabolic syndrome. Improvements in diet were achieved by 3 months and maintained to 12 months. The results provide a basis for further dietary change implementation studies in the Canadian context.

BACKGROUND:Metabolic syndrome (MetS) comprises a cluster of risk factors including central obesity, hypertension, dyslipidemia, and impaired glucose homeostasis. Lifestyle interventions that promote improvements in diet quality and physical activity represent a first line of therapy for MetS. However, varying responses to lifestyle interventions are well documented and may be partially explained by underlying genetic differences. The aim of this study was to investigate if variants in genes previously associated with MetS influence the magnitude of change in MetS risk during a 1-year lifestyle intervention.METHODS:The present study used data collected from the Canadian Health Advanced by Nutrition and Graded Exercise study cohort (n = 159 men and women) to investigate the effect of 17 candidate single nucleotide polymorphisms (SNPs) on response to a 1-year lifestyle intervention. Associations between SNPs and the continuous MetS (cMetS) score, as well as individual MetS components, were examined.RESULTS:Reductions in cMetS score at both 3 months and 1 year were significantly associated with 2 variants: rs662799 (A/G) in apolipoprotein A5 (APOA5) and rs1501299 (G/T) in adiponectin (ADIPOQ). Individuals carrying a minor T allele in rs1501299 experienced a greater reduction in cMetS score at both 3 months and 1 year, whereas major allele AA homozygotes in rs662799 experienced greater reductions in cMetS score during the intervention. No associations were identified between the aforementioned SNPs and individual components of MetS. Both un-weighted and weighted genetic risk scores (GRS) using these 2 SNPs revealed that individuals carrying none of the risk alleles experienced significantly greater reductions in cMetS score after 1 year.CONCLUSIONS:The findings from the current study suggest that individuals with certain genotypes may benefit more from a lifestyle intervention for MetS and that specific variants, either independently or as part of a GRS, could be used as a nutrigenomic tool to tailor the intervention to reduce the risk of MetS.

Background: Patient perspectives on new programs to manage metabolic syndrome (MetS) are critical to evaluate for possible implementation in the primary healthcare system. Participants' perspectives were sought for the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) study, which enrolled 293 participants, and demonstrated 19% reversal of MetS after 1 year. The main purpose of this study was to examine participants' perceptions of their experiences with the CHANGE program, enablers and barriers to change. Methods: A convergent parallel mixed methods design combined patients perspectives collected by questionnaires (n = 164), with insights from focus groups (n = 41) from three sites across Canada. Qualitative data were thematically analyzed using interpretative description. Insights were organized within a socio-ecologic framework. Results: Key aspects identified by participants included intra-individual factors (personal agency, increased time availability), inter-individual factors (trust, social aspects) and organizational factors (increased mental health support, tailored programs). Conclusion: Results revealed participants' overall support for the CHANGE program, especially the importance of an extended program under the guidance of a family physician along with a skilled and supportive team. Team delivery of a lifestyle program in primary care or family medicine clinics is a complex intervention and use of a mixed methods design was helpful for exploring patient experiences and key issues on enablers and barriers to health behavior change.