Factors influencing coronary heart disease mortality: findings from the USNational Longitudinal Mortality Study

  • Dr Rangaswamy Siddaiah Associate Professor, Department of General Medicine, DM Wayanad Institute of Medical Sciences, Wayanad, Kerala, India
  • Dr Liaquat Roopesh Johnson Associate Professor, Department of Community Medicine, DM Wayanad Institute of Medical Sciences, Wayanad, Kerala, India
DOI: https://doi.org/10.17511/ijmrr.2016.i05.03
Keywords: National Longitudinal Mortality Study, Preventable mortality

Abstract

Introduction: Globally, mortality due to non-communicable diseases (NCDs) is on the rise. Coronary Heart Disease (CHD) is responsible for a large proportion of preventable cardiovascular mortality. This study aims to determine the factors associated with mortality due to acute and chronic CHD among adults (>18 years).

Materials and Methods: A cohort of 2769 adults who died of CHD or hypertension was selected from the public-use dataset of the US National Longitudinal Mortality Study (NLMS). Age, sex, race, marital status, place of residence, health insurance status and employment status were examined for association with acute or chronic CHD mortality.

Results: In bivariate analyses all variables were significantly associated with mortality due to CHD. However, in logistic regression analysis only Age (less than 70 years) (p: 0.04) and Race (White) (p: 0.001) reached statistical significance.

Conclusion: Age and race are significantly associated with the occurrence of mortality due to CHD in the USA.

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References

1. World Health Organization. WHO web site. [Online].; 2015 [cited 2016 May 4. Available from: www.who.int/mediacentre/factsheets/fs355/en/.

2. World Health Organization. WHO web site. [Online].; 2014 [cited 2016 May 4. Available from: http://apps.who.int/iris/bitstream/10665/148114/1/9789241564854_eng.pdf?ua=1.

3. World Health Organization. WHO web site. [Online].; 2015 [cited 2016 May 4. Available from: http://www.who.int/mediacentre/factsheets/fs317/en/.

4. American Heart Association. American Heart Association web site. [Online].; 2016 [cited 2016 May 4. Available from: https://www.heart.org/idc/groups/ahamah-public/@wcm/@sop/@smd/documents/downloadable/ucm_480086.pdf.

5. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart Disease and Stroke Statistics- 2016 Update: A Report from the American Heart Association. Circulation. 2016 Jan 26;133(4):e38-e360. doi: 10.1161/CIR.0000000000000350. Epub 2015 Dec 16..

6. Singh GK, Siahpush M. Ethnic-immigrant differentials in health behaviors, morbidity, and cause-specific mortality in the United States: an analysis of two national data bases. Hum Biol. 2002 Feb;74(1):83-109.

7. Dean CB, Nielsen JD. Generalized linear mixed models: a review and some extensions. Lifetime Data Anal. 2007 Dec;13(4):497-512. Epub 2007 Nov 14.

8. Kanda Y. Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant. 2013 Mar;48(3):452-8. doi: 10.1038/bmt.2012.244. Epub 2012 Dec 3.

9. George J, Rapsomaniki E, Pujades-Rodriguez M, Shah AD, Denaxas S, Herrett E, et al. How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1 937 360 People. Circulation. 2015;(132): 1320-8.

10. Backlund E, Rowe G, Lynch J, Wolfson MC, Kaplan GA, Sorlie PD. Income inequality and mortality: a multilevel prospective study of 521 248 individuals in 50 US states. Int J Epidemiol. 2007 Jun;36(3):590-6. Epub 2007 Mar 15.
CITATION
DOI: 10.17511/ijmrr.2016.i05.03
Published: 2016-05-31
How to Cite
1.
Siddaiah R, Roopesh Johnson L. Factors influencing coronary heart disease mortality: findings from the USNational Longitudinal Mortality Study. Int J Med Res Rev [Internet]. 2016May31 [cited 2024Nov.8];4(5):685-8. Available from: https://ijmrr.medresearch.in/index.php/ijmrr/article/view/540
Issue
Vol 4 No 5 (2016): MAY
Section
Original Article