Socio-Demographic Factors Associated with Post COVID-19 Syndrome
Location
Hager-Lubbers Exhibition Hall
Description
PURPOSE: While most people are aware of acute Coronavirus Disease 2019 (COVID-19), there is limited public knowledge about those who continue to have symptoms in the months following their initial infection. This occurrence is called Long COVID-19 or Post COVID-19 Syndrome (PCS). This study explored the socio-demographic factors associated with PCS in a cross-sectional sample from the 2022 Behavioral Risk Factor Surveillance System-data. SUBJECTS: Of the 124,313 respondents who reported a history of COVID-19, 26,783 (21.54%) also experienced symptoms 3 months after acute infection. Most respondents who reported suffering from PCS were 50-64 years old (29.79%), White, non-Hispanic (73.77%), and female (62.81%). METHODS AND MATERIALS: Socio-demographic factors explored included age, sex, race, ethnicity, body mass index (BMI), insurance coverage, income, and employment status. COVID-19 vaccination status and the number of vaccines received were also explored. ANALYSES: Analyses were performed using binary logistic regression and chi-square tests in SAS version 9.4. RESULTS: Findings suggest that persons who were 35-49 years of age (OR=1.15, CI=1.00-1.31), female (OR=1.70, CI=1.53-1.89), overweight (OR=1.22, CI=1.06-1.410), obese (OR=1.59, CI=1.39-1.82), or unvaccinated (OR=1.26, CI=1.11-1.42) had significantly higher odds of developing PCS. Otherwise, those who were 65+ years of age (OR=0.75, CI=0.62-0.90), or Asian, non-Hispanic (OR=0.61, CI=0.40-0.93) had significantly lower odds of reporting PCS. Persons who had 4 or more vaccines (OR= 0.70, CI=0.54-0.91) had the lowest odds of PCS. CONCLUSIONS: These findings may inform public health practitioners in tailoring messaging around the risk factors for PCS, informing prevention measures including vaccination against COVID-19.
Socio-Demographic Factors Associated with Post COVID-19 Syndrome
Hager-Lubbers Exhibition Hall
PURPOSE: While most people are aware of acute Coronavirus Disease 2019 (COVID-19), there is limited public knowledge about those who continue to have symptoms in the months following their initial infection. This occurrence is called Long COVID-19 or Post COVID-19 Syndrome (PCS). This study explored the socio-demographic factors associated with PCS in a cross-sectional sample from the 2022 Behavioral Risk Factor Surveillance System-data. SUBJECTS: Of the 124,313 respondents who reported a history of COVID-19, 26,783 (21.54%) also experienced symptoms 3 months after acute infection. Most respondents who reported suffering from PCS were 50-64 years old (29.79%), White, non-Hispanic (73.77%), and female (62.81%). METHODS AND MATERIALS: Socio-demographic factors explored included age, sex, race, ethnicity, body mass index (BMI), insurance coverage, income, and employment status. COVID-19 vaccination status and the number of vaccines received were also explored. ANALYSES: Analyses were performed using binary logistic regression and chi-square tests in SAS version 9.4. RESULTS: Findings suggest that persons who were 35-49 years of age (OR=1.15, CI=1.00-1.31), female (OR=1.70, CI=1.53-1.89), overweight (OR=1.22, CI=1.06-1.410), obese (OR=1.59, CI=1.39-1.82), or unvaccinated (OR=1.26, CI=1.11-1.42) had significantly higher odds of developing PCS. Otherwise, those who were 65+ years of age (OR=0.75, CI=0.62-0.90), or Asian, non-Hispanic (OR=0.61, CI=0.40-0.93) had significantly lower odds of reporting PCS. Persons who had 4 or more vaccines (OR= 0.70, CI=0.54-0.91) had the lowest odds of PCS. CONCLUSIONS: These findings may inform public health practitioners in tailoring messaging around the risk factors for PCS, informing prevention measures including vaccination against COVID-19.