An Infodemiological Study to Estimate Risk Factors of Urinary Incontinence Using Elastic Net Regression

Abstract

Urinary incontinence is a health problem of having a higher prevalence in the society which is observed widely and affecting the life quality negatively. In this study, it is hereby aimed to determine the risk factors which lead to urinary incontinence and to assess the seasonality of it.This study was a cross-sectional research. In the study, Infodemiologic procedures were used. Persons’ nationwide, relative search volume for the words relevant with urinary incontinence and risk factors were obtained from the internet search engines during 2016-2021. Relative search volume values were received from Google Trends. Urinary incontinence reasonability was determined through seasonal decomposition. Risk factors’ effect on urinary incontinence was evaluated through Elastic.net regression procedure. Search volume of the words relevant to urinary incontinence in internet search engines displays seasonality. Search volume of urinary incontinence in internet search engines between November and February is hereby determined to be higher than other months. Risk factors on urinary incontinence are; prostate, diabetes, kidney pain, constipation and menopause. In the study, infodemiologic procedures were being applied and it was determined that urinary incontinence is showing seasonality. Risk factors of urinary incontinence were estimated successfully. Relative search volumes obtained from Google Trends are able to be used for the estimation of the epidemiologic parameters of urinary incontinence in the society successfully. In researches, enabling to include more countries and more variables to the models may provide a contribution for the generalization of the results

Keywords

• Infodemiologic analysis
• Urinary Incontinence
• Google Trends
• Seasonality

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