Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study

Background: Heart Failure (HF) is a progressive epidemic associated with considerable morbidity and mortality. Self-reported data from the National Health and Nutrition Examination Survey (NHANES) provides a unique representation of individuals suffering from HF. The purpose of this study is to anal...

Full description

Bibliographic Details
Main Authors: Saketram Komanduri, Yogesh Jadhao, Sai S Guduru, Pramil Cheriyath, Yijin Wert
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Journal of Community Hospital Internal Medicine Perspectives
Subjects:
Online Access:http://dx.doi.org/10.1080/20009666.2016.1264696
id doaj-bd784ac28d7c49c796dacb7f44f42399
record_format Article
spelling doaj-bd784ac28d7c49c796dacb7f44f423992020-11-24T21:12:03ZengTaylor & Francis GroupJournal of Community Hospital Internal Medicine Perspectives2000-96662017-01-0171152010.1080/20009666.2016.12646961264696Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up studySaketram Komanduri0Yogesh Jadhao1Sai S Guduru2Pramil Cheriyath3Yijin Wert4Pinnacle Health HospitalsPinnacle Health HospitalsPinnacle Health HospitalsPinnacle Health HospitalsBiostatistician, Pinnacle Health HospitalsBackground: Heart Failure (HF) is a progressive epidemic associated with considerable morbidity and mortality. Self-reported data from the National Health and Nutrition Examination Survey (NHANES) provides a unique representation of individuals suffering from HF. The purpose of this study is to analyze updated NHANES 2013-2014 data to identify any changes in the prevalence and current risk factors of HF, especially given the novel lifestyles and increased medical awareness of current generations. Methods: NHANES uses a multistage probability sampling design under the Centers for Disease Control and Prevention (CDC). The Student's t-test and Chi-square test/ Fisher's exact test was used for analysis of variables. A multiple logistic regression model was used to identify statistically significant risk factors for HF. Analyses were performed with the use of SAS software, version 9.4. Results: Based on our analysis, the primary risk factor was coronary artery disease followed by hypertension, diabetes mellitus, age ≥ 65 years, and obesity. Conclusion: The findings revealed that despite improved population awareness and advancements in diagnostics and therapeutics, the same risk factors continue to persist. This provided an insight into the path towards which our resources need to be directed, so as to effectively tackle the aforementioned risk factors.http://dx.doi.org/10.1080/20009666.2016.1264696Congestive heart failureNHANESrisk factorsepidemiology
collection DOAJ
language English
format Article
sources DOAJ
author Saketram Komanduri
Yogesh Jadhao
Sai S Guduru
Pramil Cheriyath
Yijin Wert
spellingShingle Saketram Komanduri
Yogesh Jadhao
Sai S Guduru
Pramil Cheriyath
Yijin Wert
Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
Journal of Community Hospital Internal Medicine Perspectives
Congestive heart failure
NHANES
risk factors
epidemiology
author_facet Saketram Komanduri
Yogesh Jadhao
Sai S Guduru
Pramil Cheriyath
Yijin Wert
author_sort Saketram Komanduri
title Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
title_short Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
title_full Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
title_fullStr Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
title_full_unstemmed Prevalence and risk factors of heart failure in the USA: NHANES 2013 – 2014 epidemiological follow-up study
title_sort prevalence and risk factors of heart failure in the usa: nhanes 2013 – 2014 epidemiological follow-up study
publisher Taylor & Francis Group
series Journal of Community Hospital Internal Medicine Perspectives
issn 2000-9666
publishDate 2017-01-01
description Background: Heart Failure (HF) is a progressive epidemic associated with considerable morbidity and mortality. Self-reported data from the National Health and Nutrition Examination Survey (NHANES) provides a unique representation of individuals suffering from HF. The purpose of this study is to analyze updated NHANES 2013-2014 data to identify any changes in the prevalence and current risk factors of HF, especially given the novel lifestyles and increased medical awareness of current generations. Methods: NHANES uses a multistage probability sampling design under the Centers for Disease Control and Prevention (CDC). The Student's t-test and Chi-square test/ Fisher's exact test was used for analysis of variables. A multiple logistic regression model was used to identify statistically significant risk factors for HF. Analyses were performed with the use of SAS software, version 9.4. Results: Based on our analysis, the primary risk factor was coronary artery disease followed by hypertension, diabetes mellitus, age ≥ 65 years, and obesity. Conclusion: The findings revealed that despite improved population awareness and advancements in diagnostics and therapeutics, the same risk factors continue to persist. This provided an insight into the path towards which our resources need to be directed, so as to effectively tackle the aforementioned risk factors.
topic Congestive heart failure
NHANES
risk factors
epidemiology
url http://dx.doi.org/10.1080/20009666.2016.1264696
work_keys_str_mv AT saketramkomanduri prevalenceandriskfactorsofheartfailureintheusanhanes20132014epidemiologicalfollowupstudy
AT yogeshjadhao prevalenceandriskfactorsofheartfailureintheusanhanes20132014epidemiologicalfollowupstudy
AT saisguduru prevalenceandriskfactorsofheartfailureintheusanhanes20132014epidemiologicalfollowupstudy
AT pramilcheriyath prevalenceandriskfactorsofheartfailureintheusanhanes20132014epidemiologicalfollowupstudy
AT yijinwert prevalenceandriskfactorsofheartfailureintheusanhanes20132014epidemiologicalfollowupstudy
_version_ 1716751700191084544