Faculty Opinions recommendation of Mortality of bullous pemphigoid: an evaluation of 223 patients and comparison with the mortality in the general population in the United States.

2008 ◽  
Author(s):  
Detlef Zillikens
Keyword(s):  
United States ◽  
General Population ◽  
Bullous Pemphigoid ◽  
The United States

Mortality of bullous pemphigoid: An evaluation of 223 patients and comparison with the mortality in the general population in the United States

2008 ◽  
Vol 59 (4) ◽  
pp. 582-588 ◽  
Author(s):  
Sareeta R.S. Parker ◽  
Senait Dyson ◽  
Stacey Brisman ◽  
Michelle Pennie ◽  
Robert A. Swerlick ◽  
...  
Keyword(s):  
United States ◽  
General Population ◽  
Bullous Pemphigoid ◽  
The United States

scholarly journals Mathematical pattern of Kessler psychological distress distribution in the general population of the U.S. and Japan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shinichiro Tomitaka ◽  
Toshiaki A. Furukawa
Keyword(s):  
United States ◽  
General Population ◽  
National Survey ◽  
Goodness Of Fit ◽  
Quadratic Function ◽  
The United States ◽  
Depression Screening ◽  
Distribution Model ◽  
Epidemiological Surveys ◽  
Screening Scale

Abstract Background Although the 6-item Kessler psychological scale (K6) is a useful depression screening scale in clinical settings and epidemiological surveys, little is known about the distribution model of the K6 score in the general population. Using four major national survey datasets from the United States and Japan, we explored the mathematical pattern of the K6 distributions in the general population. Methods We analyzed four datasets from the National Health Interview Survey, the National Survey on Drug Use and Health, and the Behavioral Risk Factor Surveillance System in the United States, and the Comprehensive Survey of Living Conditions in Japan. We compared the goodness of fit between three models: exponential, power law, and quadratic function models. Graphical and regression analyses were employed to investigate the mathematical patterns of the K6 distributions. Results The exponential function had the best fit among the three models. The K6 distributions exhibited an exponential pattern, except for the lower end of the distribution across the four surveys. The rate parameter of the K6 distributions was similar across all surveys. Conclusions Our results suggest that, regardless of different sample populations and methodologies, the K6 scores exhibit a common mathematical distribution in the general population. Our findings will contribute to the development of the distribution model for such a depression screening scale.

Hepatitis C Virus Genotypes and Viral Concentrations in Participants of a General Population Survey in the United States

2006 ◽  
Vol 131 (2) ◽  
pp. 478-484 ◽  
Author(s):  
Omana V. Nainan ◽  
Miriam J. Alter ◽  
Deanna Kruszon-Moran ◽  
Feng-Xiang Gao ◽  
Guoliang Xia ◽  
...  
Keyword(s):  
United States ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
General Population ◽  
Population Survey ◽  
The United States ◽  
General Population Survey ◽  
Virus Genotypes ◽  
Hepatitis C Virus Genotypes

EPID-10. GLIOMA INCIDENCE AND SURVIVAL BY INCOME LEVEL IN THE UNITED STATES GENERAL POPULATION AGES AND ABOVE FROM 2000-2018

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi87-vi88
Author(s):  
Jennifer Murillo ◽  
Elizabeth Anyanda ◽  
Jason Huang
Keyword(s):  
United States ◽  
General Population ◽  
Survival Data ◽  
Survival Rates ◽  
The United States ◽  
Income Level ◽  
Population Based ◽  
Research Database ◽  
Income Levels ◽  
Average Survival

Abstract Gliomas are the most common primary malignant brain tumor in the United States with previous studies showing the incidence varied by age, sex, and race or ethnicity. Survival after diagnosis has also been shown to vary by these factors. Also, socioeconomic status and its association with various cancers have also been studied at length over time. PURPOSE: The purpose of our research was to quantify the differences in incidence and survival rates of gliomas in 15 years and older by income level. METHODS: This population-based study obtained incidence and survival data from the Incidence-SEER Research Database the general population. Average age incidence were generated by glioma groups and grouped by income levels. Survival rates were generated by overall glioma diagnosis grouped by observed survival at 12, 24, 36, 48 and 60 months and by again by income levels. The analysis included 94,207 patients with glioma diagnosed in those aged 15 years or older. RESULTS: Overall, 94, 207 patients diagnosed with glioma were analyzed. Of these, 1,089 (1.16%) fell into the < $35k group, 1,684 (1.79%) in the $35k-$40k group, 3,473 (3.69%) in the $40k-$45k group, 5,647 (5.99%) in the $45k-$50k group, 7,138 (7.58%) in the $50k-$55k group, 6,468 (6.87%) in the $55k-$60k group, 15,348 (16.29%) in the $60k-$65k group, 13,216 (14.03%) in the $65k-$70k group, 9,035 (9.59%) in the $70k-$75k group, and 31,109 (33.02%) fell in > $75k group. The data was also broken further down into survivability showing average survival. CONCLUSION: Incidence of glioma and 12, 24, 36, 48 and 60 month survival rates after diagnosis vary significantly by income level with higher income level greater than $75,000+ having higher incidence and higher survival rates compared with lower income levels. Further research is needed to help determine risk factors and barriers to care to help reveal health disparities.

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