Association of Lung Function (FEV1 and FVC) With American Heart Association's Life's Simple 7 Cardiovascular Health Factors

CHEST Journal ◽  
2016 ◽  
Vol 150 (4) ◽  
pp. 898A
Author(s):  
Hwa Lee ◽  
Angela Lee ◽  
Chi Kieu ◽  
Nathan Wong
Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Casey M Rebholz ◽  
Cheryl A Anderson ◽  
Morgan E Grams ◽  
Lydia A Bazzano ◽  
Deidra C Crews ◽  
...  

Introduction: As part of its 2020 Impact Goals, the AHA developed the Life’s Simple 7 metric for cardiovascular health promotion. The metric consists of ideal categories for smoking, physical activity, diet, body mass index, blood pressure, blood cholesterol, and blood glucose; and its relationship with risk of chronic kidney disease (CKD) is unknown. Hypothesis: Ideal levels of health factors and the overall Life’s Simple 7 metric are associated with lower risk of developing CKD. Methods: We prospectively analyzed 15,436 Atherosclerosis Risk in Community study participants without CKD at baseline (1987-1989). Ideal levels of health factors were: non-smoker or quit >1 year ago; body mass index <25 kg/m 2 ; ≥150 minutes/week of physical activity; dietary pattern which is high in fruits and vegetables, fish, and fiber-rich whole grains, and low in sodium and sugar-sweetened beverages; total cholesterol <200 mg/dL; blood pressure <120/90 mmHg; and blood glucose <100 mg/dL. Incident CKD was defined as development of estimated glomerular filtration rate <60 mL/min/1.73 m 2 accompanied by 25% decline from baseline, hospitalization or death due to CKD, or end-stage renal disease defined by linkage with the U.S. Renal Data System. Cox regression was used to estimate associations between health factors, the overall metric, and CKD risk while adjusting for age, sex, race, and baseline kidney function. Results: At baseline, mean age was 54 years, 55% were women, and 26% were African-American. There were 2,861 incident CKD cases over a median follow-up of 22 years. Smoking, body mass index, physical activity, blood pressure, and blood glucose were associated with lower CKD risk (all p≤0.01), but diet and blood cholesterol were not. CKD risk was inversely related to the number of ideal health factors ( Figure ; p-trend<0.001; AUC: 0.7001 vs. 0.6804, p<0.001). Conclusions: The AHA Life’s Simple 7 metric, developed to measure and promote cardiovascular health, predicts reduced CKD risk.


2021 ◽  
Vol 11 (3) ◽  
pp. 189
Author(s):  
Jane A. Leopold ◽  
Roger B. Davis ◽  
Elliott M. Antman

Ideal cardiovascular health is associated with a decrease in adverse cardiovascular events. The My Research Legacy study examined ideal cardiovascular health using the Life’s Simple 7 survey and data from digital health devices. We hypothesized that digital devices provide a more objective view of overall cardiovascular health status than self-reported measures. Therefore, we analyzed weight and activity data recorded by digital devices to recalculate the Life’s Simple 7 Health Score. All study participants (n = 1561) answered the survey, while a subgroup (n = 390) provided data from digital devices. Individuals with digital devices had a lower body mass index (BMI) and higher weekly minutes of vigorous exercise than participants without digital devices (p < 0.01). Baseline Health Scores were higher in individuals with digital devices compared to those without (7.0 ± 1.6 vs. 6.6 ± 1.6, p < 0.01). Data from digital devices reveal both increases and decreases in measured vs. self-reported BMI (p < 0.04) and weekly minutes of moderate and vigorous exercise activity (p < 0.01). Using these data, a significant difference was found between the recalculated and the self-reported Life’s Simple 7 Health Score (p < 0.05). These findings suggest that incorporation of digital health devices should be considered as part of a precision medicinal approach to assessing ideal cardiovascular health.


Author(s):  
Yejin Mok ◽  
Yingying Sang ◽  
Shoshana H. Ballew ◽  
Casey M. Rebholz ◽  
Wayne D. Rosamond ◽  
...  

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Randi E Foraker ◽  
Abigail B Shoben ◽  
Marcelo A Lopetegui ◽  
Albert M Lai ◽  
Philip R Payne ◽  
...  

In 2010, the American Heart Association (AHA) launched the groundbreaking Life’s Simple 7™ campaign to improve the cardiovascular health (CVH) of Americans. Five of the 7 [smoking, body mass index (BMI), blood pressure, cholesterol, and glucose] are commonly recorded in electronic medical records (EMRs). Although CVH components are often included in patient-provider discussions, to date there has been no formal attempt to characterize CVH from EMR data. We characterized the CVH of 160 female patients ages 65 and older seen in an Ohio State University primary care clinic from May 1 through July 31, 2013. We defined CVH according to AHA criteria, and assigned each behavior and factor to either an “ideal”, “intermediate”, or “poor” category. We calculated an overall CVH score ranging from 0 (worst) to 10 (best) by summing across behaviors and factors as follows: poor, 0; intermediate, 1; and ideal, 2. We calculated means and standard deviations (sd) of continuous variables and report frequencies within CVH categories. Patients were an average of 74.2 (sd=6.7) years old, and 35% were black. Among the 126 (79%) women who had data available on all 5 factors, mean CVH score was 6.0 (sd=1.3). Among all women, the mean fractional score (actual score/maximum possible) was 0.63 (sd=0.14), and it did not differ significantly by race. Greater than 10% of data were missing for BMI (13%) and cholesterol (11%). Figure 1 shows the distribution of ideal, intermediate, poor, and missing CVH values for each behavior and factor. We have demonstrated that a majority of Life’s Simple 7™ components are easily queried from EMRs. These data indicate that older female patients seen in the primary care setting have less-than-ideal CVH. There exists great potential to leverage the EMR for patient-provider communication and engagement around CVH. As such, we are implementing an automated assessment of CVH targeted to primary care providers and their older female patients. Following the intervention, CVH values will be compared to these baseline data. Figure 1. Percent of older female patients (n=160) who were seen in a primary care clinic by category of CVH: behaviors and factors*. *Diabetes was defined as either treated by a glucose-lowering medication (intermediate) or not (ideal), since over 90% of data were missing for fasting glucose or hemoglobin A1c.


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