Association between Asthma and Periodontitis in the United States Adult Population: A Population‐based Observational Epidemiological Study

2021 ◽  
Author(s):  
Parth D. Shah ◽  
Victor M. Badner ◽  
Kevin L. Moss
Keyword(s):  
United States ◽  
Epidemiological Study ◽  
Adult Population ◽  
The United States ◽  
Population Based

Abstract W P147: Occupational and Risk of Stroke: A Population-Based Study in the United States

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Chengwei Wang ◽  
Bijal K Mehta ◽  
Aaron McMurtray
Keyword(s):  
United States ◽  
Reference Group ◽  
Smoking Status ◽  
Adult Population ◽  
Predictor Variable ◽  
The United States ◽  
Population Based ◽  
Workplace Stress ◽  
Survey Study ◽  
Population Based Study

BACKGROUND: Previous studies on occupational exposure for risk of stroke have been limited in the range of occupations. There has not been a population-based study on a nationally representative sample that investigates the association between a comprehensive list of occupations and risk of stroke in the United States. Objective: To examine the relative risk for the occurrence of stroke between different occupations in the U.S. adult population. METHODS: Population-based complex survey study using the National Health Interview Survey, 2004 through 2012 which included randomly sampled non-institutionalized adults (n=186,539) in the United States.The main variables measured included self-reported stroke defined as ‘Have you ever been told you had a stroke in the past 12 month” by a physician; The predictor variable, occupation, was obtained using the census occupational codes, and regrouped according to North American Industrial Classification System. Odds ratios with 95% confidence intervals were calculated. Chi-square test was used. RESULTS: After controlling for age, sex, ethnicity, hypertension, diabetes, angina pectoris, coronary heart disease, smoking status and alcohol drinking status, and with legal Occupations as a reference group, the likelihood of developing stroke was 1.85 times higher in Production Occupations, 1.92 times higher in Food Preparation and Serving Related Occupations, 1.93 times higher in Personal Care and Service Occupations, 1.94 times higher in Transportation and Material Moving Occupations, 2.08 times higher in Healthcare Support Occupations, and 2.11 times higher in Construction and Extraction Occupations. CONCLUSION: This study identifies occupation groups in US adult population with higher risk for stroke. Alleviation from workplace stress is suggested as a goal for behavioral intervention in the higher-risk occupations. Additional research on characteristics of the high risk occupations is needed for guiding prevention in these US job settings.

scholarly journals Omega-3 Long-Chain Polyunsaturated Fatty Acids Intake by Ethnicity, Income, and Education Level in the United States: NHANES 2003–2014

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2045 ◽  
Author(s):  
Caleb Cave ◽  
Nicholas Hein ◽  
Lynette M. Smith ◽  
Ann Anderson-Berry ◽  
Chesney K. Richter ◽  
...  
Keyword(s):  
United States ◽  
Fatty Acids ◽  
Polyunsaturated Fatty Acids ◽  
Adult Population ◽  
The United States ◽  
Population Based ◽  
Omega 3 ◽  
Survey Period ◽  
Supplement Use ◽  
Long Chain

Although there are many recognized health benefits for the consumption of omega-3 (n-3) long-chain polyunsaturated fatty acids (LCPUFA), intake in the United States remains below recommended amounts. This analysis was designed to provide an updated assessment of fish and n-3 LCPUFA intake (eicosapentaenoic (EPA), docosahexaenoic acid (DHA), and EPA+DHA) in the United States adult population, based on education, income, and race/ethnicity, using data from the 2003-2014 National Health and Nutrition Examination Survey (NHANES) (n = 44,585). Over this survey period, participants with less education and lower income had significantly lower n-3 LCPUFA intakes and fish intakes (p < 0.001 for all between group comparisons). N-3 LCPUFA intake differed significantly according to ethnicity (p < 0.001), with the highest intake of n-3 LCPUFA and fish in individuals in the “Other” category (including Asian Americans). Supplement use increased EPA + DHA intake, but only 7.4% of individuals consistently took supplements. Overall, n-3 LCPUFA intake in this study population was low, but our findings indicate that individuals with lower educational attainment and income are at even higher risk of lower n-3 LCPUFA and fish intake.

scholarly journals T1386 Risk of Pancreatic Cancer Development in Cancer Survivors in the United States – A Population-Based Epidemiological Study Using the SEER Cancer Database

2010 ◽  
Vol 138 (5) ◽  
pp. S-551
Author(s):  
Sathya Jaganmohan ◽  
Ramu P. Raju ◽  
Manoop S. Bhutani ◽  
Gottumukkala S. Raju ◽  
John R. Stroehlein ◽  
...  
Keyword(s):  
United States ◽  
Pancreatic Cancer ◽  
Cancer Survivors ◽  
Epidemiological Study ◽  
The United States ◽  
Population Based ◽  
Cancer Development

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

The economic burden of vertigo and dizziness in the United States

2020 ◽  
pp. 1-10
Author(s):  
Jeremy S. Ruthberg ◽  
Chandruganesh Rasendran ◽  
Armine Kocharyan ◽  
Sarah E. Mowry ◽  
Todd D. Otteson
Keyword(s):  
United States ◽  
Health Care ◽  
Economic Burden ◽  
Clinical Characteristics ◽  
Care Service ◽  
Adult Population ◽  
Health Care Service ◽  
The United States ◽  
Medical Expenditures ◽  
Limited Information

BACKGROUND: Vertigo and dizziness are extremely common conditions in the adult population and therefore place a significant social and economic burden on both patients and the healthcare system. However, limited information is available for the economic burden of vertigo and dizziness across various health care settings. OBJECTIVE: Estimate the economic burden of vertigo and dizziness, controlling for demographic, socioeconomic, and clinical comorbidities. METHODS: A retrospective analysis of data from the Medical Expenditures Panel Survey (2007–2015) was performed to analyze individuals with vertigo or dizziness from a nationally representative sample of the United States. Participants were included via self-reported data and International Classification of Diseases, 9th Revision Clinical Modification codes. A cross-validated 2-component generalized linear model was utilized to assess vertigo and dizziness expenditures across demographic, socioeconomic and clinical characteristics while controlling for covariates. Costs and utilization across various health care service sectors, including inpatient, outpatient, emergency department, home health, and prescription medications were evaluated. RESULTS: Of 221,273 patients over 18 years, 5,275 (66% female, 34% male) reported either vertigo or dizziness during 2007–2015. More patients with vertigo or dizziness were female, older, non-Hispanic Caucasian, publicly insured, and had significant clinical comorbidities compared to patients without either condition. Furthermore, each of these demographic, socioeconomic, and clinical characteristics lead to significantly elevated costs due to having these conditions for patients. Significantly higher medical expenditures and utilization across various healthcare sectors were associated with vertigo or dizziness (p <  0.001). The mean incremental annual healthcare expenditure directly associated with vertigo or dizziness was $2,658.73 (95% CI: 1868.79, 3385.66) after controlling for socioeconomic and demographic characteristics. Total annual medical expenditures for patients with dizziness or vertigo was $48.1 billion. CONCLUSION: Vertigo and dizziness lead to substantial expenses for patients across various healthcare settings. Determining how to limit costs and improve the delivery of care for these patients is of the utmost importance given the severe morbidity, disruption to daily living, and major socioeconomic burden associated with these conditions.

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