PSY12 PROJECTED COST OF CARDIOMETABOLIC RISK FACTORS IN COMMERCIALLY INSURED NORMAL AND OVERWEIGHT PRIMARY CARE PATIENTS

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.

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Assessment of Cardiometabolic Risk Factors in a National Primary Care Electronic Health Record Database

Value in Health ◽

10.1111/j.1524-4733.2006.00152.x ◽

2007 ◽

Vol 10 ◽

pp. S29-S36 ◽

Cited By ~ 18

Author(s):

Diana Brixner ◽

Qayyim Said ◽

Carmen Kirkness ◽

Brian Oberg ◽

Rami Ben-Joseph ◽

...

Keyword(s):

Risk Factors ◽

Primary Care ◽

Electronic Health Record ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Health Record ◽

Electronic Health

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Effects of a 2-Year Primary Care Lifestyle Intervention on Cardiometabolic Risk Factors

Circulation ◽

10.1161/circulationaha.120.051328 ◽

2021 ◽

Vol 143 (12) ◽

pp. 1202-1214

Author(s):

Christoph Höchsmann ◽

James L. Dorling ◽

Corby K. Martin ◽

Robert L. Newton ◽

John W. Apolzan ◽

...

Keyword(s):

Risk Factors ◽

Primary Care ◽

Usual Care ◽

Usual Care Group ◽

Cardiometabolic Risk ◽

Density Lipoprotein ◽

Mean Difference ◽

Cardiometabolic Risk Factors ◽

Lipoprotein Cholesterol ◽

Care Group

Background: Intensive lifestyle interventions (ILIs) are the first-line approach to effectively treat obesity and manage associated cardiometabolic risk factors. Because few people have access to ILIs in academic health centers, primary care must implement similar approaches for a meaningful effect on obesity and cardiometabolic disease prevalence. To date, however, effective lifestyle-based obesity treatment in primary care is limited. We examined the effectiveness of a pragmatic ILI for weight loss delivered in primary care among a racially diverse, low-income population with obesity for improving cardiometabolic risk factors over 24 months. Methods: The PROPEL trial (Promoting Successful Weight Loss in Primary Care in Louisiana) randomly allocated 18 clinics equally to usual care or an ILI and subsequently enrolled 803 (351 usual care, 452 ILI) adults (67% Black, 84% female) with obesity from participating clinics. The usual care group continued to receive their normal primary care. The ILI group received a 24-month high-intensity lifestyle-based obesity treatment program, embedded in the clinic setting and delivered by health coaches in weekly sessions initially and monthly sessions in months 7 through 24. Results: As recently demonstrated, participants receiving the PROPEL ILI lost significantly more weight over 24 months than those receiving usual care (mean difference, −4.51% [95% CI, −5.93 to −3.10]; P <0.01). Fasting glucose decreased more in the ILI group compared with the usual care group at 12 months (mean difference, −7.1 mg/dL [95% CI, −12.0 to −2.1]; P <0.01) but not 24 months (mean difference, −0.8 mg/dL [95% CI, −6.2 to 4.6]; P =0.76). Increases in high-density lipoprotein cholesterol were greater in the ILI than in the usual care group at both time points (mean difference at 24 months, 4.6 mg/dL [95% CI, 2.9–6.3]; P <0.01). Total:high-density lipoprotein cholesterol ratio and metabolic syndrome severity ( z score) decreased more in the ILI group than in the usual care group at both time points, with significant mean differences of the change of −0.31 (95% CI, −0.47 to −0.14; P <0.01) and −0.21 (95% CI, −0.36 to −0.06; P =0.01) at 24 months, respectively. Changes in total cholesterol, low-density lipoprotein cholesterol, triglycerides, and blood pressure did not differ significantly between groups at any time point. Conclusions: A pragmatic ILI consistent with national guidelines and delivered by trained health coaches in primary care produced clinically relevant improvements in cardiometabolic health in an underserved population over 24 months. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02561221.

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Efficacy of an intermittent energy restriction diet in a primary care setting

European Journal of Nutrition ◽

10.1007/s00394-019-02098-y ◽

2019 ◽

Vol 59 (6) ◽

pp. 2805-2812 ◽

Cited By ~ 1

Author(s):

R. Antoni ◽

K. L. Johnston ◽

C. Steele ◽

D. Carter ◽

M. D. Robertson ◽

...

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Primary Care ◽

Weight Loss ◽

Standard Care ◽

Cardiometabolic Risk ◽

Disease Risk ◽

Energy Restriction ◽

Cardiometabolic Risk Factors ◽

Management Service

Abstract Purpose Intermittent energy restriction (IER) is a popular weight loss (WL) strategy; however, its efficacy in clinical practice remains unknown. The present study compared the effects of IER compared to continuous energy restriction (CER) on WL and cardiometabolic risk factors in primary care. Methods A (self-selected) cohort study was conducted at the Rotherham Institute for Obesity (RIO), a primary care-based weight management service. 197(24% male) obese patients volunteered to participate and selected their diet group. IER participants (n = 99) consumed ~ 2600 kJ for two days/week. CER participants (n = 98) restricted their diet by ~ 2100 kJ/day below estimated requirements. Both interventions were delivered alongside RIO standard care. Changes in anthropometry and cardiometabolic disease risk markers (fasting biochemistry and blood pressure) were assessed after a 6-month intervention period and then participants were followed up again 6 months later (month 12). Results 27 IER patients (27%) and 39 CER patients (40%) completed the 6-month weight loss phase. Among completers, mean (SEM) WL was greater in the IER group at 6 months (5.4 ± 1.1% versus 2.8 ± 0.6%; p = 0.01), as were reductions in fat mass (p < 0.001) and improvements in systolic blood pressure (p < 0.001). Fasting insulin (p = 0.873) and diastolic blood pressure (p = 0.701) were reduced similarly in both groups. However, in the IER group, changes in anthropometry and blood pressure in the IER group had reverted to baseline by 12-month follow-up, whilst the CER group maintained weight loss but showed an increase in blood pressure. Conclusions Among completers, IER resulted in superior short-term changes in anthropometry and some cardiometabolic risk factors. However, rates of attrition and weight regain were higher compared with standard care, providing important insights in the implementations of IER within a “real-life” NHS setting. Trial registration number ISRCTN31465600.

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Increased monocyte to HDL cholesterol ratio in vitamin B12 deficiency: is it related to cardiometabolic risk?

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000668 ◽

2020 ◽

pp. 1-8

Author(s):

Sanem Kayhan ◽

Nazli Gulsoy Kirnap ◽

Mercan Tastemur

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Uric Acid ◽

Vitamin B12 ◽

Cardiometabolic Risk ◽

Vitamin B12 Deficiency ◽

Left Ventricular ◽

Cardiometabolic Risk Factors ◽

B12 Deficiency ◽

Deficiency Group

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.

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