American Journal of Cardiovascular Disease Research
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American Journal of Cardiovascular Disease Research. 2017, 5(1), 1-4
DOI: 10.12691/ajcdr-5-1-1
Open AccessArticle

Contribution of Physical Activity to the Life's Simple 7 Metric in Older Rural Adults

Peter D. Hart1, 2,

1Health Promotion Program, Montana State University - Northern, Havre, MT 59501

2Kinesmetrics Lab, Montana State University - Northern, Havre, MT 59501;Health Demographics, Havre, MT 59501

Pub. Date: December 20, 2017

Cite this paper:
Peter D. Hart. Contribution of Physical Activity to the Life's Simple 7 Metric in Older Rural Adults. American Journal of Cardiovascular Disease Research. 2017; 5(1):1-4. doi: 10.12691/ajcdr-5-1-1

Abstract

Purpose: The aim of this study was to examine specifically the contribution of physical activity (PA) to the American Heart Association’s (AHA) Life’s Simple 7 (LS7) metric and its relationship to health-related quality of life (HRQOL). Methods: Data for this study came from a large national survey conducted in 2015. A total of N=46,498 adults 50+ years of age and residing in a rural U.S. county were included. A modified LS7 metric was assessed to include: 1) not smoking within past year, 2) BMI less than 25, 3) consumption of 5+ fruits and vegetables per day, 4) obtaining 150+ minutes of moderate PA per week, and not being diagnosed with 5) high cholesterol, 6) hypertension, or 7) diabetes. One set of analyses were performed with those meeting the PA metric excluded and one set with those meeting the PA metric included. Multiple logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs) while adjusting for age, sex, race, and income. Results: Prevalence of good HRQOL increased linearly (59.0%, 68.9%, 75.1%, 80.4%, 84.2%, 89.6%, & 90.0%, p<.001) across adult groups meeting 0 to 6 LS7 metrics, respectively. Adjusted models with those meeting PA excluded showed increased odds of reporting good HRQOL in adults meeting 1 (OR=2.16; 95% CI: 1.74-2.67), 2 (2.40; 2.01-2.88), 3 (2.61; 2.13-3.21), 4 (3.08; 2.32-4.08), and 5+ (4.56; 2.67-7.78) LS7 metrics. Adjusted models with those meeting PA included showed mostly greater odds of reporting good HRQOL in adults meeting 1 (1.71; 1.55-1.87), 2 (3.78; 3.03-4.73), 3 (4.69; 3.72-5.93), 4 (6.66; 5.01-8.86), and 5+ (6.76; 5.22-8.74) LS7 metrics. Conclusions: Results from this study show that the LS7 metric is a stronger predictor of HRQOL when PA is met in older rural U.S. adults. Health promotion programs should emphasize the importance of PA to the LS7 metric.

Keywords:
physical activity life’s simple 7 epidemiology health-related quality of life

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Fan W, Lee H, Lee A, Kieu C, Wong ND. Association of lung function and chronic obstructive pulmonary disease with American Heart Association's Life's Simple 7 cardiovascular health metrics. Respiratory Medicine. 2017 Oct 1; 131: 85-93.
 
[2]  Lin MP, Ovbiagele B, Markovic D, Towfighi A. “Life9s Simple 7” and Long‐Term Mortality After Stroke. Journal of the American Heart Association. 2015 Nov 9; 4(11): e001470.
 
[3]  Ogunmoroti O, Oni E, Michos ED, Spatz ES, Allen NB, Rana JS, Virani SS, Blankstein R, Aronis KN, Blumenthal RS, Veledar E. Life's Simple 7 and Incident Heart Failure: The Multi‐Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 2017 Jun 1; 6(6): e005180.
 
[4]  Ogunmoroti O, Allen NB, Cushman M, Michos ED, Rundek T, Rana JS, Blankstein R, Blumenthal RS, Blaha MJ, Veledar E, Nasir K. Association Between Life’s Simple 7 and Noncardiovascular Disease: The Multi‐Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 2016 Oct 1; 5(10): e003954.
 
[5]  Peng Y, Wang Z. Association of Life's Simple 7 and presence of cardiovascular disease in general Australians. Open heart. 2017 Jul 1; 4(2): e000622.
 
[6]  Beck LF. Rural and Urban Differences in Passenger-Vehicle-Occupant Deaths and Seat Belt Use Among Adults-United States, 2014. MMWR. Surveillance Summaries. 2017; 66.
 
[7]  Trivedi T, Liu J, Probst J, Merchant A, Jhones S, Martin AB. Obesity and obesity-related behaviors among rural and urban adults in the USA. Rural Remote Health. 2015 Oct 13; 15(4): 3267.
 
[8]  Baernholdt M, Yan G, Hinton I, Rose K, Mattos M. Quality of life in rural and urban adults 65 years and older: findings from the National Health and Nutrition Examination Survey. The Journal of Rural Health. 2012 Sep 1; 28(4): 339-47.
 
[9]  Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., ... & Arnett, D. K. (2010). Defining and setting national goals for cardiovascular health promotion and disease reduction. Circulation, 121(4), 586-613.
 
[10]  Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2015.
 
[11]  Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Questionnaire. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2015.
 
[12]  Swanoski MT, Lutfiyya MN, Amaro ML, Akers MF, Huot KL. (2012). Knowledge of heart attack and stroke symptomology: a cross-sectional comparison of rural and non-rural US adults. BMC Public Health. 2012; 12, article 283.
 
[13]  Centers for Disease Control and Prevention (CDC). Measuring healthy days: Population assessment of health-related quality of life. Atlanta, Georgia: CDC; 2000.
 
[14]  Centers for Disease Control and Prevention. A data users guide to the BRFSS physical activity questions: how to assess the 2008 physical activity guidelines for Americans.
 
[15]  Stokes, M. E., Davis, C. S., & Koch, G. G. (2012). Categorical data analysis using SAS. SAS institute.
 
[16]  Cody, R. P., & Smith, J. K. (2006). Applied statistics and the SAS programming language. 5th Edition. Pearson.