Prevalence of Potential Adult Chronic Rhinosinusitis Symptoms in the United States

2018 ◽  
Vol 159 (3) ◽  
pp. 522-525 ◽  
Author(s):  
Neil Bhattacharyya ◽  
Sapideh Gilani
Keyword(s):  
United States ◽  
Chronic Rhinosinusitis ◽  
Adult Population ◽  
The United States ◽  
National Database ◽  
Cross Sectional ◽  
Data Set ◽  
Duration Of Symptoms ◽  
Nasal Blockage ◽  
The Us

Objective To determine the prevalence of chronic rhinosinusitis–related symptoms in the United States. Study Design Cross-sectional analysis of a national database. Setting Representative sampling of the US adult population. Subjects and Methods The National Health and Nutrition Examination Survey data set, taste and smell supplement 2013-2014 was analyzed for sinonasal question responses regarding discolored nasal mucus, nasal blockage, sinus pain, and dysosmia. The individual prevalences as well as the prevalence of 2 or more of these symptoms (which would be compatible with a diagnosis of chronic rhinosinusitis) were determined for the US population. Results After excluding adults with an intercurrent head cold, 113.5 million adults (mean age 58.2 years; 52.6% female) were analyzed. Individual symptom prevalences were dysosmia (9.17 million, 8.1%), nasal blockage (6.9 million, 6.0%), sinus pain (2.37 million, 2.1%), and discolored mucous (1.28 million, 1.1%). Overall, 14.8 million (13.0%) adults had exactly 1 sinonasal symptom, and 2.37 million adults (2.1%) responded with 2 or more cardinal symptoms for chronic rhinosinusitis. With respect to sex, 1.9% of males reported 2 or more symptoms compatible with chronic rhinosinusitis vs 2.2% of females ( P = .690), which is not statistically significant. Conclusion Of US adults, 2.1% meet symptom criteria for the potential diagnosis of chronic rhinosinusitis at any given time. Further objective corroboration with a physical exam and determination of duration of symptoms would be required to determine the true prevalence of chronic rhinosinusitis, but this point prevalence represents the potential population at risk for chronic rhinosinusitis in the United States.

scholarly journals Prevalence of hypotension in populations of the Russian Federation and the United States of America according to 30-year follow-up

2020 ◽  
Vol 19 (3) ◽  
pp. 2497
Author(s):  
V. G. Vilkov ◽  
S. A. Shalnova ◽  
Yu. A. Balanova ◽  
S. E. Evstifeeva ◽  
A. E. Imaeva ◽  
...  
Keyword(s):  
United States ◽  
Adult Population ◽  
Age Groups ◽  
The United States ◽  
Cross Sectional ◽  
Men And Women ◽  
National Medical ◽  
Health And Nutrition ◽  
The Us ◽  
The Usa

Aim. To study the prevalence of hypotension according to several criteria in the Russia and the USA.Material and methods. We used data of Russian population studies performed in 1975-1982 and ESSE-RF study performed in 2012-2014 at the National Medical Research Center for Therapy and Preventive Medicine. A comparison was made with the data of cross-sectional stu - dies of the US population — National Health and Nutrition Examination Survey (NHANES): NHANES II (1976-1980) and Continuous NHANES (2007-2012). We analyzed age, sex, and systolic and diastolic blood pressure. The prevalence of individuals with hypotension was calculated in men and women of five age groups using four different criteria for hypertension.Results. The prevalence of hypotension in studies of different years according to different criteria was as follows: in the Russia — 0,3-9,0% in men and 2-15% in women; in the USA — 5-30% in men and 8-45% in women. In age group >30 years, the prevalence of hypotension in Russia, by most criteria, decreased approximately by 50% in men and did not change in women. In the United States, according to all criteria, the prevalence in men and women has increased 2-3 times.Conclusion. The prevalence of hypotension in the adult population ranges from decimal percentages to 45% and varies many times depending on the selected criterion.

scholarly journals Prevalence of Inflammatory Bowel Disease in Pediatric and Adult Populations: Recent Estimates From Large National Databases in the United States, 2007–2016

2019 ◽  
Author(s):  
Yizhou Ye ◽  
Sudhakar Manne ◽  
William R Treem ◽  
Dimitri Bennett
Keyword(s):  
United States ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Fixed Effects ◽  
Adult Population ◽  
The United States ◽  
Adult Age ◽  
The Us ◽  
Inflammatory Bowel ◽  
National Databases

Abstract Background The latest estimate of the prevalence of inflammatory bowel disease (IBD) in the United States was based on 2009 data, which indicates a need for an up-to-date re-estimation. The objectives of this study were to investigate the prevalence of all forms of IBD including ulcerative colitis (UC), Crohn’s disease (CD), and IBD unspecified (IBDU). Methods Pediatric (age 2–17) and adult (age ≥18) IBD patients were identified from 2 large claims databases. For each year between 2007 and 2016, prevalence was calculated per 100,000 population and standardized based on the 2016 national Census. A fixed-effects meta-analytical model was used for overall prevalence. Results The pediatric prevalence of IBD overall increased by 133%, from 33.0/100,000 in 2007 to 77.0/100,000 in 2016. Among children, CD was twice as prevalent as UC (45.9 vs 21.6). Prevalence was higher in boys than girls for all forms of IBD, in contrast to the adult population where the prevalence was higher in women than men. We also found that the 10–17 age subgroup was the major contributor to the rising pediatric IBD prevalence. For adults, the prevalence of IBD overall increased by 123%, from 214.9 in 2007 to 478.4 in 2016. The prevalence rates of UC and CD were similar (181.1 vs 197.7) in 2016. Conclusions Inflammatory bowel disease continues to affect a substantial proportion of the US population. In 2016, 1 in 209 adults and 1 in 1299 children aged 2–17 were affected by IBD. Prevalence of IBD has been increasing compared with previously published 2009 data.

scholarly journals The prevalence of MS in the United States

Neurology ◽  
2019 ◽  
Vol 92 (10) ◽  
pp. e1029-e1040 ◽  
Author(s):  
Mitchell T. Wallin ◽  
William J. Culpepper ◽  
Jonathan D. Campbell ◽  
Lorene M. Nelson ◽  
Annette Langer-Gould ◽  
...  
Keyword(s):  
United States ◽  
Census Data ◽  
Adult Population ◽  
The United States ◽  
Health Claims ◽  
The North ◽  
Time Period ◽  
The Us ◽  
Group A ◽  
Us Census

ObjectiveTo generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets.MethodsA validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the 2010 US Census data and pooled the findings to calculate the 2010 prevalence of MS in the United States cumulated over 3 years. We also estimated the 2010 prevalence cumulated over 10 years using 2 models and extrapolated our estimate to 2017.ResultsThe estimated 2010 prevalence of MS in the US adult population cumulated over 10 years was 309.2 per 100,000 (95% confidence interval [CI] 308.1–310.1), representing 727,344 cases. During the same time period, the MS prevalence was 450.1 per 100,000 (95% CI 448.1–451.6) for women and 159.7 (95% CI 158.7–160.6) for men (female:male ratio 2.8). The estimated 2010 prevalence of MS was highest in the 55- to 64-year age group. A US north-south decreasing prevalence gradient was identified. The estimated MS prevalence is also presented for 2017.ConclusionThe estimated US national MS prevalence for 2010 is the highest reported to date and provides evidence that the north-south gradient persists. Our rigorous algorithm-based approach to estimating prevalence is efficient and has the potential to be used for other chronic neurologic conditions.

“Justice of the Marketplace”: Legal Disputes and Economic Activity on America's Northeastern Frontier, 1700–1860

2008 ◽  
Vol 39 (1) ◽  
pp. 1-35 ◽  
Author(s):  
B. Zorina Khan
Keyword(s):  
United States ◽  
Eighteenth Century ◽  
Economic Activity ◽  
Critical Period ◽  
The United States ◽  
Market Exchange ◽  
Cross Sectional ◽  
Data Set ◽  
Community Norms ◽  
Over Time

The analysis of markets, courts, and civil litigation on the northeastern frontier of the United States provides a valuable opportunity to assess the evolution of institutions during economic development. The data set pools longitudinal and cross-sectional observations on 30,000 lawsuits filed in Maine during the critical period between 1700 and 1860. The earliest legal institutions moderated both social and economic norms, but courts quickly began to specialize in commercial issues. The residence of debtors and creditors and changes in spatial characteristics over time yield insights into the nature and extent of capital markets and impersonal exchange. The distribution and disposition of property and debt cases indicate that early markets were well developed and orderly; the evidence of “social tension” between debtors and creditors was minimal. The results do not support the standard claim of a transition from interactions based on community norms to impersonal market exchange late in the eighteenth century.

scholarly journals Gender-Inclusive Fellowship Naming and Equity, Diversity, and Inclusion in Radiology: An Analysis of Radiology Department Websites in Canada and the United States

2022 ◽  
pp. 084653712110661
Author(s):  
Tyler D. Yan ◽  
Lauren E. Mak ◽  
Evelyn F. Carroll ◽  
Faisal Khosa ◽  
Charlotte J. Yong-Hing
Keyword(s):  
United States ◽  
Breast Imaging ◽  
The United States ◽  
Radiology Department ◽  
Imaging Data ◽  
Body Imaging ◽  
Cross Sectional ◽  
Diversity And Inclusion ◽  
The Us ◽  
The Impact

Purpose: Transgender and gender non-binary (TGNB) individuals face numerous inequalities in healthcare and there is substantial work to be done in fostering TGNB culturally competent care in radiology. A radiology department’s online presence and use of gender-inclusive language are essential in promoting an environment of equity, diversity, and inclusion (EDI). The naming of radiology fellowships and continuing medical education (CME) courses with terminology such as “Women’s Imaging” indicates a lack of inclusivity to TGNB patients and providers, which could result in suboptimal patient care. Methods: We conducted a cross-sectional analysis of all institutions in Canada and the United States (US) offering training in Breast Imaging, Women’s Imaging, or Breast and Body Imaging. Data was collected from each institution’s radiology department website pertaining to fellowship names, EDI involvement, and CME courses. Results: 8 Canadian and 71 US radiology fellowships were identified. 75% of Canadian and 90% of US fellowships had gender-inclusive names. One (12.5%) Canadian and 29 (41%) US institutions had EDI Committees mentioned on their websites. Among institutions publicly displaying CME courses about breast/body or women’s imaging, gender-inclusive names were used in only 1 (25%) of the Canadian CME courses, compared to 81% of the US institutions. Conclusions: Most institutions in Canada and the US have gender-inclusive names for their radiology fellowships pertaining to breast and body imaging. However, there is much opportunity to and arguably the responsibility for institutions in both countries to increase the impact and visibility of their EDI efforts through creation of department-specific committees and CME courses.

scholarly journals Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set

ILR Review ◽  
2019 ◽  
Vol 72 (5) ◽  
pp. 1262-1277 ◽  
Author(s):  
Robert W. Fairlie ◽  
Javier Miranda ◽  
Nikolas Zolas
Keyword(s):  
United States ◽  
Panel Data ◽  
The United States ◽  
Future Research ◽  
Data Set ◽  
Growth And Survival ◽  
Start Up ◽  
The Us ◽  
Start Ups ◽  
The Universe

The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.

Social Implications of COVID-19 Deaths: Analyzing Race, Ethnicity, Socio-Economic Conditions, Gender, and Age for the US

2020 ◽  
Vol 7 (1) ◽  
pp. 163-180
Author(s):  
Saagar S Kulkarni ◽  
Kathryn E Lorenz
Keyword(s):  
United States ◽  
Significant Role ◽  
The United States ◽  
Social Implications ◽  
Data Sets ◽  
Comprehensive Overview ◽  
Data Set ◽  
The Us ◽  
Multivariable Regression ◽  
Race Ethnicity

This paper examines two CDC data sets in order to provide a comprehensive overview and social implications of COVID-19 related deaths within the United States over the first eight months of 2020. By analyzing the first data set during this eight-month period with the variables of age, race, and individual states in the United States, we found correlations between COVID-19 deaths and these three variables. Overall, our multivariable regression model was found to be statistically significant.  When analyzing the second CDC data set, we used the same variables with one exception; gender was used in place of race. From this analysis, it was found that trends in age and individual states were significant. However, since gender was not found to be significant in predicting deaths, we concluded that, gender does not play a significant role in the prognosis of COVID-19 induced deaths. However, the age of an individual and his/her state of residence potentially play a significant role in determining life or death. Socio-economic analysis of the US population confirms Qualitative socio-economic Logic based Cascade Hypotheses (QLCH) of education, occupation, and income affecting race/ethnicity differently. For a given race/ethnicity, education drives occupation then income, where a person lives, and in turn his/her access to healthcare coverage. Considering socio-economic data based QLCH framework, we conclude that different races are poised for differing effects of COVID-19 and that Asians and Whites are in a stronger position to combat COVID-19 than Hispanics and Blacks.

Re-examination of dairy as a single commodity in US dietary guidance

2020 ◽  
Vol 78 (3) ◽  
pp. 225-234 ◽  
Author(s):  
Elizabeth T Jacobs ◽  
Janet A Foote ◽  
Lindsay N Kohler ◽  
Meghan B Skiba ◽  
Cynthia A Thomson
Keyword(s):  
United States ◽  
Dairy Products ◽  
Adult Population ◽  
Population Level ◽  
The United States ◽  
Food Group ◽  
School Breakfast Program ◽  
The Us ◽  
Lunch Program ◽  
Single Commodity

Abstract Dairy products have been a key component of dietary guidance in the United States for more than 100 years. In light of major advances in the understanding of dietary intake and metabolism, the aim of this review was to examine whether dairy should remain a single commodity in federal guidance. Considerations include recognizing that a substantial proportion of the world’s adult population (65%–70%) exhibits lactase nonpersistence, a reduced ability to metabolize lactose to glucose and galactose. Shifts in the US population, including a greater proportion of African Americans and Asians, are of key importance because several studies have shown a markedly higher prevalence of lactase nonpersistence and, consequently, a lower dairy intake among these groups. While cow’s milk alternatives are available, families who use them will pay up to an additional $1400 per year compared with those who are able to consume dairy products. Dietary guidance also contains downstream effects for government assistance, such as the US Department of Agriculture’s National School Lunch Program and School Breakfast Program. For reasons like these, Canada has recently removed dairy as a separate food group in national dietary guidance. The results of the present review suggest that consideration of this modification when developing population-level guidelines in the United States is warranted.

scholarly journals Inverse association between diabetes and altitude: A cross-sectional study in the adult population of the United States

Obesity ◽  
2014 ◽  
Vol 22 (9) ◽  
pp. 2080-2090 ◽  
Author(s):  
Orison O. Woolcott ◽  
Oscar A. Castillo ◽  
Cesar Gutierrez ◽  
Robert M. Elashoff ◽  
Darko Stefanovski ◽  
...  
Keyword(s):  
United States ◽  
Adult Population ◽  
The United States ◽  
Cross Sectional Study ◽  
Inverse Association ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Predictive Modeling of 30-Day Emergency Hospital Transport of German Patients Using a Personal Emergency Response: Retrospective Study and Comparison with the United States (Preprint)

2020 ◽  
Author(s):  
Jorn op den Buijs ◽  
Marten Pijl ◽  
Andreas Landgraf
Keyword(s):  
United States ◽  
Health Care ◽  
High Risk ◽  
Predictive Model ◽  
The United States ◽  
Data Set ◽  
Targeted Interventions ◽  
Emergency Hospital ◽  
The Us ◽  
Hospital Transport

BACKGROUND Predictive analytics based on data from remote monitoring of elderly via a personal emergency response system (PERS) in the United States can identify subscribers at high risk for emergency hospital transport. These risk predictions can subsequently be used to proactively target interventions and prevent avoidable, costly health care use. It is, however, unknown if PERS-based risk prediction with targeted interventions could also be applied in the German health care setting. OBJECTIVE The objectives were to develop and validate a predictive model of 30-day emergency hospital transport based on data from a German PERS provider and compare the model with our previously published predictive model developed on data from a US PERS provider. METHODS Retrospective data of 5805 subscribers to a German PERS service were used to develop and validate an extreme gradient boosting predictive model of 30-day hospital transport, including predictors derived from subscriber demographics, self-reported medical conditions, and a 2-year history of case data. Models were trained on 80% (4644/5805) of the data, and performance was evaluated on an independent test set of 20% (1161/5805). Results were compared with our previously published prediction model developed on a data set of PERS users in the United States. RESULTS German PERS subscribers were on average aged 83.6 years, with 64.0% (743/1161) females, with 65.4% (759/1161) reported 3 or more chronic conditions. A total of 1.4% (350/24,847) of subscribers had one or more emergency transports in 30 days in the test set, which was significantly lower compared with the US data set (2455/109,966, 2.2%). Performance of the predictive model of emergency hospital transport, as evaluated by area under the receiver operator characteristic curve (AUC), was 0.749 (95% CI 0.721-0.777), which was similar to the US prediction model (AUC=0.778 [95% CI 0.769-0.788]). The top 1% (12/1161) of predicted high-risk patients were 10.7 times more likely to experience an emergency hospital transport in 30 days than the overall German PERS population. This lift was comparable to a model lift of 11.9 obtained by the US predictive model. CONCLUSIONS Despite differences in emergency care use, PERS-based collected subscriber data can be used to predict use outcomes in different international settings. These predictive analytic tools can be used by health care organizations to extend population health management into the home by identifying and delivering timelier targeted interventions to high-risk patients. This could lead to overall improved patient experience, higher quality of care, and more efficient resource use.

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