Authors' Affiliations

Adedeji Adenusi, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN Sheryl Strasser, Department of Health Promotion & Behavior, Georgia State University School of Public Health, Atlanta, Georgia. Gongjian Kan, School of Management Science and Engineering, Shandong University of Finance and Economics, P. R. China Olamide Asifat, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN. Shimin Zheng, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN.

Location

Culp Center Ballroom

Start Date

4-25-2023 9:00 AM

End Date

4-25-2023 11:00 AM

Poster Number

64

Faculty Sponsor’s Department

Biostatistics & Epidemiology

Name of Project's Faculty Sponsor

Shimin Zheng

Classification of First Author

Graduate Student-Master’s

Competition Type

Competitive

Type

Poster Presentation

Project's Category

Respiratory System, Pulmonary Diseases, Patient Care and Education, Public Health

Abstract or Artist's Statement

Background: The etiology of pulmonary disease is complex and influenced by various factors, resulting in a significant public health issue, with 16 million Americans living with chronic obstructive pulmonary disease (COPD) and 24 million with asthma, and cases are on the rise. The purpose of this study was to explore demographic, health status, and lifestyle behaviors with pulmonary disease so patterns of risk can be understood and inform interventions. Methods: This cross-sectional study utilized the National Inpatient Sample Data from 2019 (NIS 2019). The predictor variables consisted of: demographics (age (18+), sex, race), health status (obesity, depression, diabetes), lifestyle behaviors (smoking, alcohol use, and aspirin use), and the outcome variable was pulmonary disease. To ensure accuracy, the data was weighted by the variable discharge weight (DISCWT), and chi-square analyses and ANOVA tests were conducted to determine the independence of categorical and numerical predictor variables. Descriptive statistics were conducted for all variables, simple and multiple logistic regression analyses were performed to identify factors that contribute to the likelihood of having pulmonary disease. Results: The sample of the NIS 2019 data included 6,043,654 cases of which, 22.65% of inpatients had pulmonary disease. The collective sample demographic characteristics were: mean age of 58.4 years, and more than half of inpatients were females (57.05% compared to 42.95% males). In terms of health, 17.75% of the sample were obese, 28.8% had diabetes, and 14.25% were depressed. Within the collective sample, 16.8% of inpatients reported smoking, 9.09% drank alcohol, and 14.51% consumed aspirin (long-term (current) use of aspirin). Results of the multivariate statistical analyses reveal that individuals who were obese were 68.3% more likely to have pulmonary disease compared to non-obese patients (aOR = 1.683, CI 1.679-1.686, pConclusion: Results of our study provide important insights between pulmonary disease and associated risk patterns. As pulmonary symptoms have risen in the wake of the COVID-19 pandemic, there is an urgent public health need to explore disruption of risk pathways to avoid overwhelming fragile global healthcare systems.

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Apr 25th, 9:00 AM Apr 25th, 11:00 AM

Risk Factors Associated with Pulmonary Disease Among Hospitalized Patients in The United States

Culp Center Ballroom

Background: The etiology of pulmonary disease is complex and influenced by various factors, resulting in a significant public health issue, with 16 million Americans living with chronic obstructive pulmonary disease (COPD) and 24 million with asthma, and cases are on the rise. The purpose of this study was to explore demographic, health status, and lifestyle behaviors with pulmonary disease so patterns of risk can be understood and inform interventions. Methods: This cross-sectional study utilized the National Inpatient Sample Data from 2019 (NIS 2019). The predictor variables consisted of: demographics (age (18+), sex, race), health status (obesity, depression, diabetes), lifestyle behaviors (smoking, alcohol use, and aspirin use), and the outcome variable was pulmonary disease. To ensure accuracy, the data was weighted by the variable discharge weight (DISCWT), and chi-square analyses and ANOVA tests were conducted to determine the independence of categorical and numerical predictor variables. Descriptive statistics were conducted for all variables, simple and multiple logistic regression analyses were performed to identify factors that contribute to the likelihood of having pulmonary disease. Results: The sample of the NIS 2019 data included 6,043,654 cases of which, 22.65% of inpatients had pulmonary disease. The collective sample demographic characteristics were: mean age of 58.4 years, and more than half of inpatients were females (57.05% compared to 42.95% males). In terms of health, 17.75% of the sample were obese, 28.8% had diabetes, and 14.25% were depressed. Within the collective sample, 16.8% of inpatients reported smoking, 9.09% drank alcohol, and 14.51% consumed aspirin (long-term (current) use of aspirin). Results of the multivariate statistical analyses reveal that individuals who were obese were 68.3% more likely to have pulmonary disease compared to non-obese patients (aOR = 1.683, CI 1.679-1.686, pConclusion: Results of our study provide important insights between pulmonary disease and associated risk patterns. As pulmonary symptoms have risen in the wake of the COVID-19 pandemic, there is an urgent public health need to explore disruption of risk pathways to avoid overwhelming fragile global healthcare systems.