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- Title
AGE AND SEX CHARACTERISTICS OF DERMATOPHYTOSIS IN GIANYAR, INDONESIA.
- Authors
Budiapsari, Putu Indah; Purnama, Ni Kadek Ari; Widiawati, Sayu
- Abstract
Dermatophytosis is a superficial fungal infection caused by a filamentous fungus that attacks keratinized tissues on the skin, nails, and hair. The clinical manifestation of dermatophytosis is determined by the source. In addition, it can be influenced by host-related factors, such as age, sex, and race. These are significant epidemiological factors, although the association between these factors and susceptibility to infection has not been clarified. Therefore, this study aimed to determine the association between the incidence of dermatophytosis and host-related factors (i.e., age and sex) in Gianyar Regency, Indonesia. This observational study used a cross-sectional design and total sampling. A total of 100 samples were collected from the medical records of patients diagnosed with dermatophytosis. The Chi-square test was employed to determine the correlation between the independent and dependent variables with a p-value of <0.05. The data were analyzed using IBM SPSS Statistics for Windows, version 22.0 (IBM Corp., Armonk, N.Y., USA). The majority of patients with dermatophytes infection were adults over the age of 19 (74%) and females (57%). The most prevalent type of dermatophytosis was tinea corporis (36%). The Chi-square test revealed a significant association between the type of dermatophytosis and the variables being examined, namely age (p = 0.025; OR = 1.978; 95% CI = 1.087-3.599) and sex (p = 0.003; OR = 2.357; 95% CI = 1.334-4.162). In conclusion, the manifestation of certain types of dermatophytosis is associated with age and sex. The findings of this study recommend enhancing the detection of dermatophytosis infection, especially in adults (>19 years old) and women.
- Subjects
INDONESIA; CROSS-sectional method; RINGWORM; SEX distribution; SCIENTIFIC observation; SYMPTOMS; AGE distribution; CHI-squared test; DESCRIPTIVE statistics; ODDS ratio; STATISTICS; DATA analysis software; CONFIDENCE intervals
- Publication
Folia Medica Indonesiana (2355-8393), 2024, Vol 60, Issue 1, p25
- ISSN
2355-8393
- Publication type
Article
- DOI
10.20473/fmi.v60i1.51214