The Promise of Prevention: The Effects of Four Preventable Risk Factors on National Life Expectancy and Life Expectancy Disparities by Race and County in the United States

2011 ◽  
Vol 2011 ◽  
pp. 252-253
Author(s):  
M.F. Roizen
Keyword(s):  
United States ◽  
Risk Factors ◽  
Life Expectancy ◽  
The United States ◽  
National Life

scholarly journals The Promise of Prevention: The Effects of Four Preventable Risk Factors on National Life Expectancy and Life Expectancy Disparities by Race and County in the United States

PLoS Medicine ◽  
2010 ◽  
Vol 7 (3) ◽  
pp. e1000248 ◽  
Author(s):  
Goodarz Danaei ◽  
Eric B. Rimm ◽  
Shefali Oza ◽  
Sandeep C. Kulkarni ◽  
Christopher J. L. Murray ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Life Expectancy ◽  
The United States ◽  
National Life

scholarly journals An Alternative Mathematical Modeling Approach to Estimating a Reference Life Expectancy

2019 ◽  
Vol 4 (1) ◽  
pp. 238146831881476 ◽  
Author(s):  
Elizabeth R. Stevens ◽  
Qinlian Zhou ◽  
Glen B. Taksler ◽  
Kimberly A. Nucifora ◽  
Marc Gourevitch ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Life Expectancy ◽  
White Women ◽  
Policy Decision ◽  
The United States ◽  
Population Characteristics ◽  
Potential Health ◽  
Health Gains ◽  
Health Policy Decision

Background. Reference life expectancies inform frequently used health metrics, which play an integral role in determining resource allocation and health policy decision making. Existing reference life expectancies are not able to account for variation in geographies, populations, and disease states. Using a computer simulation, we developed a reference life expectancy estimation that considers competing causes of mortality, and is tailored to population characteristics. Methods. We developed a Monte Carlo microsimulation model that explicitly represented the top causes of US mortality in 2014 and the risk factors associated with their onset. The microsimulation follows a birth cohort of hypothetical individuals resembling the population of the United States. To estimate a reference life expectancy, we compared current circumstances with an idealized scenario in which all modifiable risk factors were eliminated and adherence to evidence-based therapies was perfect. We compared estimations of years of potential years life lost with alternative approaches. Results. In the idealized scenario, we estimated that overall life expectancy in the United States would increase by 5.9 years to 84.7 years. Life expectancy for men would increase from 76.4 years to 82.5 years, and life expectancy for women would increase from 81.3 years to 86.8 years. Using age-75 truncation to estimate potential years life lost compared to using the idealized life expectancy underestimated potential health gains overall (38%), disproportionately underestimated potential health gains for women (by 70%) compared to men (by 40%), and disproportionately underestimated the importance of heart disease for white women and black men. Conclusion. Mathematical simulations can be used to estimate an idealized reference life expectancy among a population to better inform and assess progress toward targets to improve population health.

scholarly journals Aging and Disability Among Hispanics in the United States: Current Knowledge and Future Directions

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Marc A Garcia ◽  
Brian Downer ◽  
Michael Crowe ◽  
Kyriakos S Markides
Keyword(s):  
United States ◽  
Risk Factors ◽  
Life Expectancy ◽  
Literature Review ◽  
Old Age ◽  
Current Knowledge ◽  
The United States ◽  
Life Course Perspective ◽  
Future Research ◽  
Minority Population

Abstract Background and Objectives Hispanics are the most rapidly aging minority population in the United States. Our objective is to provide a summary of current knowledge regarding disability among Hispanics, and to propose an agenda for future research. Research Design and Methods A literature review was conducted to identify major areas of research. A life course perspective and the Hispanic Paradox were used as frameworks for the literature review and for identifying future areas of research. Results Four research areas were identified: (1) Ethnic disparities in disability; (2) Heterogeneity of the U.S. older Hispanic population; (3) Risk factors for disability; and (4) Disabled life expectancy. Older Hispanics are more likely than non-Hispanic whites to be disabled or to become disabled. Disability varied by country of origin, nativity, age of migration, and duration in the United States. Important risk factors for disability included chronic health conditions, depression, and cognitive impairment. Protective factors included positive affect and physical activity. Older Hispanics have longer life expectancy than non-Hispanic whites but spend a greater proportion of old age disabled. Future research should continue to monitor trends in disability as younger generations of Hispanics reach old age. Attention needs to be given to regional variation within the United States for disability prevalence, early-life risk factors, and factors that may contribute to variation in disabled life expectancy. There is also an urgent need for interventions that can effectively prevent or delay the onset of disability in older Hispanics. Discussion and Implications Considerable research has examined disability among older Hispanics, but continued research is needed. It is important that research findings be used to inform public policies that can address the burden of disability for older Hispanic populations.

scholarly journals Age-Related Chronic Diseases and Alzheimer’s Disease in Texas: A Hispanic Focused Study

2021 ◽  
Vol 5 (1) ◽  
pp. 121-133
Author(s):  
Shyam Sheladia ◽  
P. Hemachandra Reddy
Keyword(s):  
United States ◽  
Risk Factors ◽  
Chronic Diseases ◽  
Hispanic Americans ◽  
The United States ◽  
Modifiable Risk Factors ◽  
American Population ◽  
Hispanic American ◽  
West Texas ◽  
Age Related

The emergence of age-related chronic diseases within the United States has led to the direct increase of Alzheimer’s disease (AD) as well as other neurological diseases which ultimately contribute to the development of dementia within the general population. To be specific, age-related chronic diseases such as cardiovascular disease, high cholesterol, diabetes, and kidney disease contribute greatly to the advancement and rapid progression of dementia. Furthermore, unmodifiable risk factors such as advancing age and genetics as well as modifiable risk factors such as socioeconomic status, educational attainment, exercise, and diet further contribute to the development of dementia. Current statistics and research show that minority populations such as Hispanic Americans in the United States face the greatest burden of dementia due to the increase in the prevalence of overall population age, predisposing genetics, age-related chronic diseases, low socioeconomic status, as well as poor lifestyle choices and habits. Additionally, Hispanic Americans living within Texas and the rural areas of West Texas face the added challenge of finding appropriate healthcare services. This article will focus upon the research associated with AD as well as the prevalence of AD within the Hispanic American population of Texas and rural West Texas. Furthermore, this article will also discuss the prevalence of age-related chronic diseases, unmodifiable risk factors, and modifiable risk factors which lead to the progression and development of AD within the Hispanic American population of the United States, Texas, and rural West Texas.

scholarly journals 1665. Using Electronic Health Records to Describe TB in Community Health Settings: a Cohort Analysis in a Large Safety-Net Population

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S819-S820
Author(s):  
Jonathan Todd ◽  
Jon Puro ◽  
Matthew Jones ◽  
Jee Oakley ◽  
Laura A Vonnahme ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Electronic Health Records ◽  
Safety Net ◽  
The United States ◽  
Research Network ◽  
Health Records ◽  
Treatment Regimens ◽  
Data Source ◽  
Electronic Health

Abstract Background Over 80% of tuberculosis (TB) cases in the United States are attributed to reactivation of latent TB infection (LTBI). Eliminating TB in the United States requires expanding identification and treatment of LTBI. Centralized electronic health records (EHRs) are an unexplored data source to identify persons with LTBI. We explored EHR data to evaluate TB and LTBI screening and diagnoses within OCHIN, Inc., a U.S. practice-based research network with a high proportion of Federally Qualified Health Centers. Methods From the EHRs of patients who had an encounter at an OCHIN member clinic between January 1, 2012 and December 31, 2016, we extracted demographic variables, TB risk factors, TB screening tests, International Classification of Diseases (ICD) 9 and 10 codes, and treatment regimens. Based on test results, ICD codes, and treatment regimens, we developed a novel algorithm to classify patient records into LTBI categories: definite, probable or possible. We used multivariable logistic regression, with a referent group of all cohort patients not classified as having LTBI or TB, to identify associations between TB risk factors and LTBI. Results Among 2,190,686 patients, 6.9% (n=151,195) had a TB screening test; among those, 8% tested positive. Non-U.S. –born or non-English–speaking persons comprised 24% of our cohort; 11% were tested for TB infection, and 14% had a positive test. Risk factors in the multivariable model significantly associated with being classified as having LTBI included preferring non-English language (adjusted odds ratio [aOR] 4.20, 95% confidence interval [CI] 4.09–4.32); non-Hispanic Asian (aOR 5.17, 95% CI 4.94–5.40), non-Hispanic black (aOR 3.02, 95% CI 2.91–3.13), or Native Hawaiian/other Pacific Islander (aOR 3.35, 95% CI 2.92–3.84) race; and HIV infection (aOR 3.09, 95% CI 2.84–3.35). Conclusion This study demonstrates the utility of EHR data for understanding TB screening practices and as an important data source that can be used to enhance public health surveillance of LTBI prevalence. Increasing screening among high-risk populations remains an important step toward eliminating TB in the United States. These results underscore the importance of offering TB screening in non-U.S.–born populations. Disclosures All Authors: No reported disclosures

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