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Abstract：
Introduction Most fungal infections are responsive to antifungal therapy. However, failure to diagnose the same can significantly affect the quality of lives of patients. Timely identification of fungal infections and their association with varied demographic and clinical parameters will help in improving the prognosis of the patient. The present study aims to evaluate the prevalence of fungal infections among various age groups and genders and also to evaluate the association of fungal infections with demographic parameters. Methods This study included a sample size of n = 600. The demographic and clinical details were compiled and transferred to IBM SPSS Version 23 software (IBM Corp., Armonk, NY) for statistical analysis. Descriptive and Pearson chi-square tests were used to analyze the association of the type of fungal infection with gender, age, and comorbidities. A p-value of less than 0.05 is considered statistically significant. Results Angular cheilitis (40%, 240), followed by denture stomatitis (37.5%, 225), were the most common type of fungal infection among the sample population, and the elderly age group (51-72 years) was the most affected. Angular cheilitis was the most common infection among both males (21.4%, 128) and females (18.6%, 112), but candidiasis was reported more in females (18%, 108) than males (3%, 18) (p = 0.00). Angular cheilitis (32%, 192) and candidiasis (18%, 108) were more observed in association with anemia; however, denture stomatitis (34%, 204) was significantly higher among diabetics (p = 0.00). Conclusion The identification of associated systemic and demographic factors is as important as the treatment of fungal infection itself. The recognition of fungal infections and the role of parameters like age, gender, and systemic comorbidities in the development of fungal infections will have valuable implications for public health. Future research is required for a clear understanding of the same.
摘要：
介绍大多数真菌感染对抗真菌治疗有反应。然而,未能诊断相同会显著影响患者的生活质量。及时识别真菌感染及其与不同人口统计学和临床参数的关联将有助于改善患者的预后。本研究旨在评估不同年龄段和性别之间真菌感染的患病率，并评估真菌感染与人口统计学参数的关联。方法本研究纳入样本量n=600。人口统计学和临床细节被编译并转移到IBMSPSS版本23软件(IBMCorp.,Armonk,纽约)进行统计分析。描述性和Pearson卡方检验用于分析真菌感染类型与性别的关联。年龄,和合并症。小于0.05的P值被认为是统计学上显著的。结果唇炎（40%，240),其次是义齿性口腔炎(37.5%，225),是样本人群中最常见的真菌感染类型，老年组（51-72岁）受影响最大。唇炎是两种男性中最常见的感染（21.4%，128）和女性（18.6%，112),但在女性中报告的念珠菌病更多(18%，108)比男性(3%，18)(p=0.00)。唇炎（32%，192)和念珠菌病(18%，108)与贫血的相关性更高；然而，义齿口炎(34%，204）在糖尿病患者中明显更高（p=0.00）。结论识别相关的系统和人口统计学因素与真菌感染本身的治疗同样重要。真菌感染的识别和年龄等参数的作用，性别,以及真菌感染发展过程中的系统性合并症将对公共卫生产生有价值的影响。未来的研究需要清楚地理解这一点。
