Identifying Sex-Specific Differences in Young-Onset Metabolic Syndrome Using Primary Care Electronic Medical Record.

Objectives: To apply a case definition to a Northern Alberta-based primary care practice population and to assess the sex-specific characteristics of young-onset metabolic syndrome (MetS). Design: We carried out a cross-sectional study to identify and estimate the prevalence of MetS using electronic medical record (EMR) data and perform descriptive comparative analyses of demographic and clinical characteristics between males and females. Setting: Northern Alberta Primary Care Research Network (NAPCReN) consists of EMR patient data from 77 physicians among 18 clinics. Participants: Patients with one or more clinic visit between 2015 and 2018, between 18 and 40 years old, residing in Northern Alberta. Main Outcome Measures: Comparison of prevalence in MetS between sexes as well as sex-specific distribution of MetS characteristics [body mass index (BMI), fasting blood glucose, glycated hemoglobin, triglycerides, and high-density lipoprotein cholesterol (HDL-C), presence of hypertension, and presence of diabetes]. Results: Of 15,766 patients, 4.4% (n = 700) had young-onset MetS based on recorded data, prevalence was nearly twice as high in males (6.1%, n = 354) compared with females (3.5%, n = 346). The most prevalent risk factor for MetS consisted of having an elevated BMI for both females (90.9%) and males (91.5%). In the presence of MetS, more females had lower HDL-C [68.2% females (F) vs. 52.5% males (M)], and higher prevalence of diabetes (21.4% F vs. 9.0% M), whereas more males had hypertriglyceridemia (60.4% F vs. 79.7% M) and hypertension (12.4% F vs. 15.8% M). Females also had consistently higher percentages of absent laboratory data compared with males when identified as having MetS and BMI ≥25 kg/m2. Conclusions: Males have nearly twice the prevalence of young-onset MetS compared with females, with notable sex-specific differences in the manifestation of MetS, although we suspect that this is partially due to underreporting where the absence of anthropomorphic and laboratory investigations point to a lack of testing. Sex-specific screening for MetS, especially among young females of childbearing years, is important for downstream prevention.

The relationship between individual-level deprivation and health-related quality of life.

OBJECTIVE: To examine the association between individual-level deprivation and health-related quality of life (HRQL) in the general population. METHODS: Data from a population-based survey in the Canadian province of Alberta were used. Individual-level deprivation was assessed using the Canadian Deprivation Index (CDI) and the Ontario Deprivation Index (ODI). HRQL was assessed using the EQ-5D-5 L. Differences in problems in the EQ-5D-5 L dimensions, index and visual analogue scale (VAS) scores across levels of deprivation were examined. Multivariate logistic and linear regression models adjusted for socio-demographic and other characteristics were used to examine the independent association between deprivation and HRQL. RESULTS: Of the 6314 respondents, 39% were aged between 18 and 44 years and 38% between 45 and 64 years; 60% were female. Mean EQ-5D-5 L index and VAS scores were 0.85 (standard deviation [SD] 0.14) and 79.6 (SD 17.7), respectively. Almost one-third (30.6%) of respondents reported no problems on all EQ-5D-5 L dimensions. Few participants reported some problems with mobility (23.8%), self-care (6.2%) and usual activities (25.2%), while 59.3 and 35.5% reported some levels of pain/discomfort and anxiety/depression, respectively. Differences between the most and least deprived in reporting problems in EQ-5D-5 L dimensions, index and VAS scores were statistically significant and clinically important. In adjusted regression models for both deprivation indices, the least well-off, compared to the most well-off, had higher likelihood of reporting problems in all EQ-5D-5 L dimensions. Compared to the most well-off, the least well-off had an EQ-5D-5 L index score decrement of 0.18 (p < 0.01) and 0.17 (p < 0.01) for the CDI and ODI, respectively. Similarly, an inverse association was found between the VAS score and the CDI (ß = - 17.3, p < 0.01) as well as the ODI (ß = - 13.3, p < 0.01). CONCLUSION: Individual-level deprivation is associated with worse HRQL. Poverty reduction strategies should consider the effects of not only neighbourhood-level deprivation, but also that of individual-level deprivation to improve overall health.

Preference-based SF-6D scores derived from the SF-36 and SF-12 have different discriminative power in a population health survey.

OBJECTIVE: To compare the discriminative power of the SF-6D index scores derived from the SF-36 (SF-6D36) and SF-12 (SF-6D12) in the general population. METHODS: Data from the National Health Measurement Study were used. The F statistic was used to compare the relative efficiency of the SF-6D36 and SF-6D12, as well as the EQ-5D, HUI2, and HUI3 index scores, in discriminating between respondents with and without 1 of the 11 chronic medical conditions. The efficiency of the multiattribute health classification systems of the study instruments was measured using the Shannon index (H'). The relative efficiency of the SF-6D36 and SF-6D12 was also compared in respondents who were on the ceilings of the EQ-5D, HUI2, and HUI3 scales. RESULTS: The SF-6D36 score was systematically lower than the SF-6D12 score at the group level (range, 0.022-0.036). The SF-6D36 exhibited higher discriminative power in 8 and 5 conditions than the SF-6D12 and all other index scores, respectively. The SF-6D36 had higher H' values than the SF-6D12 in the dimensions of physical functioning (1.73 vs. 0.78), mental health (1.70 vs. 1.39), and bodily pain (2.16 vs. 1.56) as well as than all other instruments in similar health dimensions. In respondents reporting full health on the EQ-5D, HUI2, or HUI3, the SF-6D36 better discriminated between those with and without medical conditions than the SF-6D12. CONCLUSIONS: The SF-6D derived from the SF-36 is more discriminative than that derived from the SF-12 and is therefore preferred for use in population health surveys where a preference-based health index is needed.

Do anthropometric indices accurately reflect directly measured body composition in men and women with chronic heart failure?

How well anthropometric indices such as body mass index (BMI), waist circumference, waist-stature ratio, and waist index correlate with direct measures of body composition (lean body mass, body fat) in men and women with chronic heart failure (CHF) has not been reported. Body composition was assessed by dual-energy x-ray absorptiometry in 140 patients with CHF. Age-adjusted Pearson correlations between each index and measures of body composition for men and women were calculated. Diagnostic accuracy of detecting obesity or high central fat was also examined. In men, all of the anthropometric indices except waist index were just as strongly correlated with lean body mass (correlation coefficients varied between 0.56 for waist-stature ratio to 0.74 for BMI) as with percentage of body fat (correlation coefficients varied between 0.72 for BMI to 0.79 for waist circumference). In women, all 4 anthropometric measures were unable to significantly differentiate between body fat and lean body mass. The positive likelihood ratios for the detection of obesity varied between 2.26 for waist circumference and 3.42 for BMI, waist-stature ratio, and waist index. Anthropometric indices do not accurately reflect body composition in patients with CHF, especially in women. When accurate assessment of body composition is required, direct measurements should be obtained.

Comparison of direct body composition assessment methods in patients with chronic heart failure.

BACKGROUND: We examined the validity of leg-to-leg bioelectrical impedance analysis (BIA) and near-infrared interactance (NIR) to assess body composition in chronic heart failure (CHF) patients. METHODS AND RESULTS: A total of 140 patients with CHF were enrolled in this cross-sectional study between June 2008 and July 2009. Dual energy x-ray absorptiometry (DEXA) served as the reference standard. A priori, desired precision levels were set at ± 3.5% body fat and ± 3.5 kg lean body mass. Mean age was 63, 74% were male, and 90% were Caucasian. BIA- and NIR-ascertained percent body fat and lean body mass were highly correlated to DEXA. Mean differences and limits of agreement for NIR were -0.3% ± 5.1% for percent body fat and 2.9 kg ± 4.3 kg for lean body mass. Mean difference and limits of agreement for BIA percent body fat was 0.8% ± 5.8%. BIA lean body mass showed poor agreement with DEXA because of variable limits of agreement across the range of measurement (Pitman's test P < .0001). CONCLUSIONS: In patients with CHF, both NIR and BIA accurately measure body fat. However, both methods were imprecise. NIR overestimated lean body mass and BIA was not useful to assess this parameter. Further study is required, including examination of the utility of these field methods in serially assessing body composition.

Association between direct measures of body composition and prognostic factors in chronic heart failure.

OBJECTIVE: To explore the covariate-adjusted associations between body composition (percent body fat and lean body mass) and prognostic factors for mortality in patients with chronic heart failure (CHF) (nutritional status, N-terminal pro-B-type natriuretic peptide [NT-proBNP], quality of life, exercise capacity, and C-reactive protein). PATIENTS AND METHODS: Between June 2008 and July 2009, we directly measured body composition using dual energy x-ray absorptiometry in 140 patients with systolic and/or diastolic heart failure. We compared body composition and CHF prognostic factors across body fat reference ranges and body mass index (BMI) categories. Multiple linear regression models were created to examine the independent associations between body composition and CHF prognostic factors; we contrasted these with models that used BMI. RESULTS: Use of BMI misclassified body fat status in 51 patients (41%). Body mass index was correlated with both lean body mass (r=0.72) and percent body fat (r=0.67). Lean body mass significantly increased with increasing BMI but not with percent body fat. Body mass index was significantly associated with lower NT-proBNP and lower exercise capacity. In contrast, higher percent body fat was associated with a higher serum prealbumin level, lower exercise capacity, and increased C-reactive protein level; lean body mass was inversely associated with NT-proBNP and positively associated with hand-grip strength. CONCLUSION: When BMI is divided into fat and lean mass components, a higher lean body mass and/or lower fat mass is independently associated with factors that are prognostically advantageous in CHF. Body mass index may not be a good indicator of adiposity and may in fact be a better surrogate for lean body mass in this population.

A randomized trial of the effect of community pharmacist and nurse care on improving blood pressure management in patients with diabetes mellitus: study of cardiovascular risk intervention by pharmacists-hypertension (SCRIP-HTN).

BACKGROUND: Blood pressure (BP) control in patients with diabetes mellitus is difficult to achieve and current patterns are suboptimal. Given increasing problems with access to primary care physicians, community pharmacists and nurses are well positioned to identify and observe these patients. This study aimed to determine the efficacy of a community-based multidisciplinary intervention on BP control in patients with diabetes mellitus. METHODS: We performed a randomized controlled trial in 14 community pharmacies in Edmonton, Alberta, Canada, of patients with diabetes who had BPs higher than 130/80 mm Hg on 2 consecutive visits 2 weeks apart. Care from a pharmacist and nurse team included a wallet card with recorded BP measures, cardiovascular risk reduction education and counseling, a hypertension education pamphlet, referral to the patient's primary care physician for further assessment or management, a 1-page local opinion leader-endorsed evidence summary sent to the physician reinforcing the guideline recommendations for the treatment of hypertension and diabetes, and 4 follow-up visits throughout 6 months. Control-arm patients received a BP wallet card, a pamphlet on diabetes, general diabetes advice, and usual care by their physician. The primary outcome measure was the difference in change in systolic BP between the 2 groups at 6 months. RESULTS: A total of 227 eligible patients were randomized to intervention and control arms between May 5, 2005, and September 1, 2006. The mean (SD) patient age was 64.9 (12.1) years, 59.9% were male, and the mean (SD) baseline systolic/diastolic BP was 141.2 (13.9)/77.3 (8.9) mm Hg at baseline. The intervention group had an adjusted mean (SE) greater reduction in systolic BP at 6 months of 5.6 (2.1) mm Hg compared with controls (P = .008). In the subgroup of patients with a systolic BP greater than 160 mm Hg at baseline, BP was reduced by an adjusted mean (SE) of 24.1 (1.9) mm Hg more in intervention patients than in controls (P < .001). CONCLUSION: Even in patients who have diabetes and hypertension that are relatively well controlled, a pharmacist and nurse team-based intervention resulted in a clinically important improvement in BP. Trial Registration clinicaltrials.gov Identifier: NCT00374270.