• Med Princ Pract · Jan 2020

    Predictors of Acne Vulgaris among Adolescents in Kuwait.

    • Mona AlKhabbaz, Abdullah Al-Taiar, Marwa Saeed, Reem Al-Sabah, and Ahmed N Albatineh.
    • Quality and Accreditation Directorate, Ministry of Health, Kuwait, Kuwait.
    • Med Princ Pract. 2020 Jan 1; 29 (4): 310-317.

    ObjectivesThe prevalence of acne vulgaris (AV) among adolescents in Kuwait has remained mostly unknown. This study aimed to estimate the prevalence of AV and its predictors among adolescents in Kuwait.Subjects And MethodsA cross-sectional study was conducted on 714 participants who were randomly selected from public schools using multistage cluster random sampling. The presence or absence of AV, as well as severity of AV, were assessed using the Global Acne Grading Scale. Data on risk factors and potential confounders were collected from the parents through a self-administered questionnaire, and from the adolescents by face-to-face interview. Weight and height were measured in a standardized manner.ResultsOf 714 participants, 320 (44.8%; 95% CI 41.1-48.6%) self-reported AV. By clinical examination, AV was found among 479 (67.1%; 95% CI 63.5-70.5%) participants. Factors that were found to be significantly associated with AV in multivariable analysis were age, gender, nationality, and BMI categories. Females compared to males (adjusted prevalence ratio [APR] 1.16 [95% CI 1.05-1.25]; p = 0.006) and overweight or obese adolescents compared to normal weight (APR 1.15 [95% CI 1.02-1.26] and 1.14 [95% CI 1.02-1.23], respectively; p = 0.026) were more likely to have AV. None of the food items studied showed an association with AV in multivariable analysis.ConclusionThe prevalence of self-reported AV seems to be lower than that reported in other settings, while the prevalence of AV by clinical examination resembles that reported in many other countries. BMI was the only modifiable risk factor associated with AV in multivariable analysis, and none of the food items studied was related to the presence or absence of AV in multivariable analysis.© 2019 The Author(s) Published by S. Karger AG, Basel.

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