Journal of Physical Activity Research
ISSN (Print): 2576-1919 ISSN (Online): 2574-4437 Website: https://www.sciepub.com/journal/jpar Editor-in-chief: Peter Hart
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Journal of Physical Activity Research. 2022, 7(1), 1-6
DOI: 10.12691/jpar-7-1-1
Open AccessArticle

Population Attributable Risk of Cardiovascular Disease Associated with not Meeting Physical Activity Guidelines in Montana Adults

Peter D. Hart1,

1Health Promotion Research, Havre, MT 59501

Pub. Date: November 08, 2021

Cite this paper:
Peter D. Hart. Population Attributable Risk of Cardiovascular Disease Associated with not Meeting Physical Activity Guidelines in Montana Adults. Journal of Physical Activity Research. 2022; 7(1):1-6. doi: 10.12691/jpar-7-1-1

Abstract

Background: Coronary heart disease (CHD) is the number 1 cause of death in United States (U.S.) with stroke also a leading killer at number 5. Aside from decreased quality of life and increased years of potential life lost (YPLL), cardiovascular disease (CVD) has a major impact on health care costs. While many CVD events can be prevented by adopting a healthy lifestyle, data quantifying this are sparse. The aim of this study was to assess the proportion of CVD cases that can be attributed to not meeting physical activity (PA) guidelines in a specific adult population. Methods: The Montana Behavioral Risk Factor Surveillance System (BRFSS, 2019) was used for this study. A dichotomous PA variable was created indicating whether or not a participant met current PA guidelines. Seven other healthy lifestyle variables were created and included smoking, alcohol consumption, overweight status, vegetable consumption, fruit consumption, and, health coverage. Three different outcome variables were used and included CHD, stroke, and CVD (CHD or stroke). Logistic regression was used to examine the relationship between PA and each CVD outcome while controlling for healthy lifestyle factors and sociodemographic variables. Population attributable risk (PAR) percentages were computed substituting PA odds ratio (OR) values into Levin's formula. Results: Prevalence of reported CHD, stroke, and CVD were 6.7%, 3.1%, and 8.7%, respectively. Additionally, prevalence of each CVD outcome was significantly (ps < .05) higher in adult groups not meeting PA guidelines, as compared to their more active counterparts. PA was significantly related to CHD (OR = 1.36, 95% CI: 1.04 – 1.79) and CVD (OR = 1.32, 95% CI: 1.02 – 1.71) in fully adjusted models and suggestively related to stroke (OR = 1.24, 95% CI: 0.81 – 1.91). PAR analyses indicated that approximately 12.1%, 8.4%, and 10.8% of CHD, stroke, and CVD cases (respectively) could be prevented in Montana with PA intervention. Conclusion: This study found that after controlling for several healthy lifestyle factors, not meeting PA guidelines independently contributes to a sizable number of CVD cases in Montana. Health promotion programming leaders should use such PAR statistics to drive the needs assessment process and plan for PA interventions.

Keywords:
Physical activity (PA) healthy lifestyles Population attributable risk (PAR) Montana health promotion

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]  Centers for Disease Control and Prevention. National Vital Statistics System, National Center for Health Statistics, (2018). National Center for Injury Prevention and Control. Available from: https://www.cdc.gov/injury/wisqars/pdf/leading_causes_of_death_by_age_group_2018-508.pdf. [November 1, 2021].
 
[2]  National Heart, Lung, and Blood Institute (NHLBI). Health Topics: Coronary Heart Disease. Available from: https://www.nhlbi.nih.gov/health-topics/coronary-heart-disease. [November 1, 2021].
 
[3]  Mosby’s medical dictionary. (2013). (9th ed.). St. Louis, MO: Mosby Elsevier.
 
[4]  National Heart, Lung, and Blood Institute (NHLBI). Health Topics: Stroke. Available from: https://www.nhlbi.nih.gov/health-topics/stroke. [November 1, 2021].
 
[5]  Shiel W. Webster's new world medical dictionary. Wiley Publishing; 2008.
 
[6]  Masaebi F, Salehi M, Kazemi M, Vahabi N, Looha MA, Zayeri F. Trend analysis of disability adjusted life years due to cardiovascular diseases: results from the global burden of disease study 2019.
 
[7]  American Heart Association. Cardiovascular disease: a costly burden for America: Projections through 2035. Washington, DC: American Heart Association; 2017.
 
[8]  Office of Disease Prevention and Health Promotion. (n.d.). Heart Disease and Stroke. Healthy People 2030. U.S. Department of Health and Human Services. https://health.gov/healthypeople/objectives-and-data/browse-objectives/heart-disease-and-stroke.
 
[9]  Shay CM, Ning H, Allen NB, Carnethon MR, Chiuve SE, Greenlund KJ, Daviglus ML, Lloyd-Jones DM. Status of cardiovascular health in US adults: prevalence estimates from the National Health and Nutrition Examination Surveys (NHANES) 2003–2008. Circulation. 2012 Jan 3; 125(1):45-56.
 
[10]  Centers for Disease Control and Prevention. The BRFSS data user guide. August 15, 2013.
 
[11]  Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System Overview: BRFSS 2019. July 26, 2019.
 
[12]  2018 Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific Report. Washington, DC: U.S. Department of Health and Human Services, 2018.
 
[13]  Rückinger S, von Kries R, Toschke AM. An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors. BMC medical research methodology. 2009 Dec;9(1):1-6.
 
[14]  Levin ML. The occurrence of lung cancer in man. Acta-Unio Internationalis Contra Cancrum. 1953;9(3):531-41.
 
[15]  Porta M, editor. A dictionary of epidemiology. Oxford university press; 2014 May 23.
 
[16]  MacDonald JP, Barnes DE, Middleton LE. Implications of risk factors for Alzheimer’s disease in Canada’s Indigenous population. Canadian Geriatrics Journal. 2015 Sep;18(3):152.
 
[17]  SAS Institute Inc. 2015. SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc.
 
[18]  IBM Corp. Released 2020. IBM SPSS Statistics for Windows, Version 27.0. Armonk, NY: IBM Corp.
 
[19]  Li M, Xu Y, Wan Q, Shen F, Xu M, Zhao Z, Lu J, Gao Z, Chen G, Wang T, Xu Y. Individual and combined associations of modifiable lifestyle and metabolic health status with new-onset diabetes and major cardiovascular events: the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Diabetes Care. 2020 Aug 1; 43(8): 1929-36.
 
[20]  Han L, You D, Ma W, Astell-Burt T, Feng X, Duan S, Qi L. National Trends in American Heart Association revised Life's simple 7 metrics associated with risk of mortality among US adults. JAMA network open. 2019 Oct 2; 2(10): e1913131.
 
[21]  Bigman G, Ryan AS. Healthy Eating Index-2015 Is Associated with Grip Strength among the US Adult Population. Nutrients. 2021 Oct; 13(10): 3358.