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Journals / Annals of Medical Research / 2019 / Cilt: 26 - Sayı: 4

Predisposing factors and demographic analysis in inguinal hernia

Murat KANLİOZ
Ugur EKİCİ
Pages
576–578
Publication Date
2022-10-12
DOI
—
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⚡ TL;DR(Too Long; Didn't Read)

The data were analysed using the SPSS statistics software. p

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: This study aims to identify the distribution of inguinal hernia by types, age and gender, and to find the correlation between inguinal hernia and chronic diseases, lifestyle and familial tendency.Material and Methods: Of the patients admitted to our clinic, the following were recorded: age, gender, height, weight, body mass index (kg/m²), whether they do heavy labour or sports, chronic disease, direction of hernia, whether there is incarceration and strangulation and immediate family history of inguinal hernia.
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Key Findings & Data:Aim: This study aims to identify the distribution of inguinal hernia by types, age and gender, and to find the correlation between inguinal hernia and chronic diseases, lifestyle and familial tendency.Material and Methods: Of the patients admitted to our clinic, the following were recorded: age, gender, height, weight, body mass index (kg/m²), whether they do heavy labour or sports, chronic disease, direction of hernia, whether there is incarceration and strangulation and immediate family history of inguinal hernia.
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Conclusion & Impact:The data were analysed using the SPSS statistics software. p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: This study aims to identify the distribution of inguinal hernia by types, age and gender, and to find the correlation between inguinal hernia and chronic diseases, lifestyle and familial tendency.Material and Methods: Of the patients admitted to our clinic, the following were recorded: age, gender, height, weight, body mass index (kg/m²), whether they do heavy labour or sports, chronic disease, direction of hernia, whether there is incarceration and strangulation and immediate family history of inguinal hernia. The data were analysed using the SPSS statistics software. p

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Cite This Article

KANLİOZ, M., EKİCİ, U. (2022). Predisposing factors and demographic analysis in inguinal hernia. Annals of Medical Research, Cilt: 26 - Sayı: 4, 576–578. https://ajindex.com/articles/447059

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