Content of physical activity documentation in Canadian family physicians' electronic medical records.

The purpose of this study was to examine the content of physical activity inputs in Canadian family physician electronic medical records. Of 1 225 948 patients aged 18-64 years, a sample of 1535 patients' charts were reviewed. A minority (n = 148; 9.6%) of patients had at least 1 mention of physical activity at any time. Insufficient information existed to determine physical activity domain (21.6%), purpose (50.0%), or meeting of guidelines (98.1%). Novelty: This study examines the physical activity content of what Canadian family physicians document in their electronic medical records.

Short Graphic Values History Tool for decision making during serious illness.

OBJECTIVES: To develop and validate a values clarification tool, the Short Graphic Values History Tool (GVHT), designed to support person-centred decision making during serious illness. METHODS: The development phase included input from experts and laypersons and assessed acceptability with patients/family members. In the validation phase, we recruited additional participants into a before-after study. Our primary validation hypothesis was that the tool would reduce scores on the Decisional Conflict Scale (DCS) at 1-2 weeks of follow-up. Our secondary validation hypotheses were that the tool would improve values clarity (reduce scores) more than other DCS subscales and increase engagement in advance care planning (ACP) processes related to identification and discussion of one's values. RESULTS: In the development phase, the tool received positive overall ratings from 22 patients/family members in hospital (mean score 4.3; 1=very poor; 5=very good) and family practice (mean score 4.5) settings. In the validation phase, we enrolled 157 patients (mean age 71.8 years) from family practice, cancer clinic and hospital settings. After tool completion, decisional conflict decreased (-6.7 points, 95% CI -11.1 to -2.3, p=0.003; 0-100 scale; N=100), with the most improvement seen in the values clarity subscale (-10.0 points, 95% CI -17.3 to -2.7, p=0.008; N=100), and the ACP-Values process score increased (+0.4 points, 95% CI 0.2 to 0.6, p=0.001; 1-5 scale; N=61). CONCLUSIONS: The Short GVHT is acceptable to end users and has some measure of validity. Further study to evaluate its impact on decision making during serious illness is warranted.

Effect of an Interactive Website to Engage Patients in Advance Care Planning in Outpatient Settings.

PURPOSE: Online programs may help to engage patients in advance care planning in outpatient settings. We sought to implement an online advance care planning program, PREPARE (Prepare for Your Care; http://www.prepareforyourcare.org), at home and evaluate the changes in advance care planning engagement among patients attending outpatient clinics. METHODS: We undertook a prospective before-and-after study in 15 primary care clinics and 2 outpatient cancer centers in Canada. Patients were aged 50 years or older (primary care) or 18 years or older (cancer care) and free of cognitive impairment. They used the PREPARE website over 6 weeks, with reminders sent at 2 or 4 weeks. We used the 55-item Advance Care Planning Engagement Survey, which measures behavior change processes (knowledge, contemplation, self-efficacy, readiness) on 5-point scales and actions relating to substitute decision makers, quality of life, flexibility for the decision maker, and asking doctors questions on an overall scale from 0 to 21; higher scores indicate greater engagement. RESULTS: In total, 315 patients were screened and 172 enrolled, of whom 75% completed the study (mean age = 65.6 years, 51% female, 35% had cancer). The mean behavior change process score was 2.9 (SD 0.8) at baseline and 3.5 (SD 0.8) at follow-up (mean change = 0.6; 95% CI, 0.49-0.73); the mean action measure score was 4.0 (SD 4.9) at baseline and 5.2 (SD 5.4) at follow-up (mean change = 1.2; 95% CI, 0.54-1.77). The effect size was moderate (0.75) for the former and small (0.23) for the latter. Findings were similar in both primary care and cancer care populations. CONCLUSIONS: Implementation of the online PREPARE program in primary care and cancer care clinics increased advance care planning engagement among patients.

Nutrient intake and dietary quality changes within a personalized lifestyle intervention program for metabolic syndrome in primary care.

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.

Activity Tracker to Prescribe Various Exercise Intensities in Breast Cancer Survivors.

PURPOSE: To prescribe different physical activity (PA) intensities using activity trackers to increase PA, reduce sedentary time, and improve health outcomes among breast cancer survivors. The maintenance effect of the interventions on study outcomes was also assessed. METHODS: The Breast Cancer and Physical Activity Level pilot trial randomized 45 breast cancer survivors to a home-based, 12-wk lower (300 min·wk at 40%-59% of HR reserve) or higher-intensity PA (150 min·wk at 60%-80% of HR reserve), or no PA intervention/control. Both intervention groups received Polar A360® activity trackers. Study outcomes assessed at baseline, 12 and 24 wk included PA and sedentary time (ActiGraph GT3X+), health-related fitness (e.g., body composition, cardiopulmonary fitness/V˙O2max), and patient-reported outcomes (e.g., quality of life). Intention-to-treat analyses were conducted using linear mixed models and adjusted for baseline outcomes. RESULTS: Increases in moderate-vigorous intensity PA (least squares adjusted group difference [LSAGD], 0.6; 95% confidence interval [CI], 0.1-1.0) and decreases in sedentary time (LSAGD, -1.2; 95% CI, -2.2 to -0.2) were significantly greater in the lower-intensity PA group versus control at 12 wk. Increases in V˙O2max at 12 wk in both interventions groups were significantly greater than changes in the control group (lower-intensity PA group LSAGD, 4.2; 95% CI, 0.5-8.0 mL·kg·min; higher-intensity PA group LSAGD, 5.4; 95% CI, 1.7-9.1 mL·kg·min). Changes in PA and V˙O2max remained at 24 wk, but differences between the intervention and control groups were no longer statistically significant. CONCLUSIONS: Increases in PA time and cardiopulmonary fitness/V˙O2max can be achieved with both lower- and higher-intensity PA interventions in breast cancer survivors. Reductions in sedentary time were also noted in the lower-intensity PA group.

Lifestyle genomics and the metabolic syndrome: A review of genetic variants that influence response to diet and exercise interventions.

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.

Variants in APOA5 and ADIPOQ Moderate Improvements in Metabolic Syndrome during a One-Year Lifestyle Intervention.

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.

Guideline harmonization and implementation plan for the BETTER trial: Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Family Practice.

BACKGROUND: The aim of the Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Family Practice (BETTER) randomized controlled trial is to improve the primary prevention of and screening for multiple conditions (diabetes, cardiovascular disease, cancer) and some of the associated lifestyle factors (tobacco use, alcohol overuse, poor nutrition, physical inactivity). In this article, we describe how we harmonized the evidence-based clinical practice guideline recommendations and patient tools to determine the content for the BETTER trial. METHODS: We identified clinical practice guidelines and tools through a structured literature search; we included both indexed and grey literature. From these guidelines, recommendations were extracted and integrated into knowledge products and outcome measures for use in the BETTER trial. End-users (family physicians, nurse practitioners, nurses and dieticians) were engaged in reviewing the recommendations and tools, as well as tailoring the content to the needs of the BETTER trial and family practice. RESULTS: In total, 3-5 high-quality guidelines were identified for each condition; from these, we identified high-grade recommendations for the prevention of and screening for chronic disease. The guideline recommendations were limited by conflicting recommendations, vague wording and different taxonomies for strength of recommendation. There was a lack of quality evidence for manoeuvres to improve the uptake of guidelines among patients with depression. We developed the BETTER clinical algorithms for the implementation plan. Although it was difficult to identify high-quality tools, 180 tools of interest were identified. INTERPRETATION: The intervention for the BETTER trial was built by integrating existing guidelines and tools, and working with end-users throughout the process to increase the intervention's utility for practice. TRIAL REGISTRATION: ISRCTN07170460.